K Number
DEN200066

Validate with FDA (Live)

Date Cleared
2022-04-29

(549 days)

Product Code
Regulation Number
866.3988
Type
Direct
Age Range
All
Reference & Predicate Devices
N/A
Predicate For
N/A
AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticPediatricDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
Intended Use

The BioFire Joint Infection (JI) Panel is a multiplexed nucleic-acid-based, in vitro diagnostic test intended for use with BioFire FilmArray 2.0 and BioFire FilmArray Torch Systems for the simultaneous qualitative detection and identification of multiple bacterial and yeast nucleic acids and select antimicrobial resistance genes from synovial fluid obtained from individuals suspected to have a joint infection.

The following organisms are identified using the BioFire JI Panel: Anaerococcus prevotii/vaginalis, Bacteroides fragilis, Candida spp., Candida albicans, Citrobacter, Clostridium perfringens, Cutibacterium avidum/granulosum, Enterobacter cloacae complex, Enterococcus faecalis, Enterococcus faecium, Escherichia coli, Fingoldia magna, Haemophilus influenzae, Kingella kingae, Klebsiella aerogenes, Klebsiella pneumoniae group, Morganella morganii. Neisseria gonorrhoeae, Parvimonas micra, Peptoniphilus, Peptostreptococcus anaerobius, Proteus spp., Pseudomonas aeruginosa, Salmonella spp., Serratia marcescens, Staphylococcus aureus, Staphylococcus lugdunensis, Streptococcus spp., Streptococcus agalactiae, Streptococcus pneumoniae, and Streptococcus pyogenes.

The BioFire JI Panel contains assays for the detection of genetic determinants associated with S. aureus resistance to methicillin (mecA/C) in conjunction with the SCCmec right extremity junction (MREJ), enterococcal resistance to vancomycin (vanA and vanB), and some mechanisms of gram-negative bacterial resistance ß-lactams including penicillins, cephalosporins, monobactams, and carbapenems (blactx.M, blakec, blaNDM, blaOXA-48-like; blavin). Detection of these genetic determinants can aid in the identification of potentially antimicrobial-resistant organisms in synovial fluid samples. The antimicrobial resistance gene or marker detected may or may not be associated with the agent responsible for disease. Negative results for these select antimicrobial resistance gene assays do not indicate susceptibility, as multiple mechanisms of resistance to methicillin, vancomycin, and ß-lactams exist.

The BioFire JI Panel is indicated as an aid in the diagnosis of specific agents of joint infection and results should be used in conjunction with other clinical and laboratory findings. Negative results may be due to infection with pathogens that are not detected by this test, pathogens present below the limit of detection of the assay, or infection that may not be detected in a synovial fluid specimen. Positive results do not rule out co-infection with other organisms. The BioFire JI Panel is not intended to monitor treatment for joint infections.

Culture of synovial fluid is necessary to recover organisms for susceptibility testing and epidemiological typing, to identify organisms in the synovial fluid that are not detected by the BioFire JI Panel, and to further identify species in the genus, complex or group results.

Device Description

The BioFire Joint Infection (JI) Panel is designed to simultaneously identify 39 different bacteria, yeast, and select genetic determinants of antimicrobial resistance from synovial fluid specimens. The BioFire JI Panel is compatible with BioFire's PCR-based in vitro diagnostic BioFire FilmArray 2.0 and BioFire FilmArray Torch Systems for infectious disease testing. A panel-specific software module (i.e., BioFire JI Panel pouch module software) is used to perform BioFire JI Panel testing on these systems.

A test is initiated by loading Hydration Solution into one port of the BioFire JI Panel pouch and the synovial fluid sample mixed with the provided Sample Buffer into the other port of the BioFire JI Panel pouch and placing it in a FilmArray instrument. The pouch contains all of the reagents required for specimen testing and analysis in a freeze-dried format; the addition of Hydration Solution and Sample/Buffer Mix rehydrates the reagents. After the pouch is prepared, the BioFire Software guides the user through the steps of placing the pouch into the instrument, scanning the pouch barcode, entering the sample identification, and initiating the run.

The FilmArray instrument contains a coordinated system of inflatable bladders and seal points. which act on the pouch to control the movement of liguid between the pouch blisters. When a bladder is inflated over a reagent blister, it forces liquid from the blister into connecting channels. Alternatively, when a seal is placed over a connecting channel it acts as a valve to open or close a channel. In addition, electronically-controlled pneumatic pistons are positioned over multiple plungers in order to deliver the rehydrated reagents into the blisters at the appropriate times. Two Peltier devices control heating and cooling of the pouch to drive the PCR reactions and the melt curve analysis.

Nucleic acid extraction occurs within the FilmArray pouch using mechanical and chemical lysis followed by purification using standard magnetic bead technology. After extracting and purifying nucleic acids from the unprocessed sample, the Film Array performs a nested multiplex PCR that is executed in two stages. During the first stage, the FilmArray performs a single, large volume, highly multiplexed reverse transcription PCR (rt-PCR) reaction. The products from first stage PCR are then diluted and combined with a fresh, primer-free master mix and a fluorescent double stranded DNA binding dye (LC Green Plus, BioFire Diagnostics). The solution is then distributed to each well of the array. Array wells contain sets of primers designed specifically to amplify sequences internal to the PCR products generated during the first stage PCR reaction. The 2nd stage PCR, or nested PCR, is performed in singleplex fashion in each well of the array. At the end of the 2nd stage PCR, the array is interrogated by melt curve analysis for the detection of signature amplicons denoting the presence of specific targets. A digital camera placed in front of the 2nd stage PCR captures fluorescent images of the PCR reactions and software interprets the data.

The FilmArray Software automatically interprets the results of each DNA melt curve analysis and combines the data with the results of the internal pouch controls to provide a test result for each organism on the panel.

AI/ML Overview

This document describes the BioFire Joint Infection (JI) Panel, a multiplexed nucleic-acid-based in vitro diagnostic test for the simultaneous qualitative detection and identification of multiple bacterial and yeast nucleic acids and select antimicrobial resistance genes from synovial fluid.

Here's an analysis of the acceptance criteria and the studies that prove the device meets these criteria:

1. Table of Acceptance Criteria and Reported Device Performance

The core acceptance criteria for this device, based on the provided document, are generally demonstrated through analytical and clinical performance studies, specifically in terms of Sensitivity (Positive Percent Agreement - PPA) and Specificity (Negative Percent Agreement - NPA) for detecting various analytes (bacteria, yeast, and antimicrobial resistance genes). While explicit numerical "acceptance criteria" for PPA and NPA are not stated in the document as a single, overarching threshold, the individual performance metrics for each analyte in the clinical and contrived studies implicitly define the expected performance. The document does state: "The validation results met the predefined acceptance criteria of >95% accuracy as compared to expert annotation." for individual melt curves and assay calls, which is a key technical acceptance criterion. We will, therefore, summarize the clinical performance for a representative selection of analyt analytes as reported in the prospective clinical study.

Analyte (Category)Acceptance Criteria (Implied by Study Success/FDA Approval)Reported Device Performance (Prospective Clinical Study)
Gram Positive Bacteria
Anaerococcus prevotii/vaginalisHigh Sensitivity and SpecificitySensitivity: 100% (1/1); Specificity: 100% (1543/1543)
Enterococcus faecalisHigh Sensitivity and SpecificitySensitivity: 100% (10/10); Specificity: 99.7% (1529/1534)
Staphylococcus aureusHigh Sensitivity and SpecificitySensitivity: 93.3% (98/105); Specificity: 98.5% (1417/1439)
Streptococcus spp.High Sensitivity and SpecificitySensitivity: 86.4% (38/44); Specificity: 99.2% (1488/1500)
Streptococcus pneumoniaeHigh Sensitivity and SpecificitySensitivity: 100% (3/3); Specificity: 100% (1541/1541)
Gram Negative Bacteria
Escherichia coliHigh Sensitivity and SpecificitySensitivity: 100% (14/14); Specificity: 99.9% (1529/1530)
Klebsiella pneumoniae groupHigh Sensitivity and SpecificitySensitivity: 80.0% (4/5); Specificity: 99.9% (1538/1539)
Pseudomonas aeruginosaHigh Sensitivity and SpecificitySensitivity: 100% (2/2); Specificity: 99.8% (1539/1542)
Yeast
CandidaHigh Sensitivity and SpecificitySensitivity: 57.1% (4/7); Specificity: 99.9% (1536/1537)
Candida albicansHigh Sensitivity and SpecificitySensitivity: 60.0% (3/5); Specificity: 100% (1539/1539)
Antimicrobial Resistance Genes
CTX-MHigh Sensitivity and SpecificitySensitivity: 100% (5/5); Specificity: 100% (33/33)
mecA/C and MREJ (MRSA)High Sensitivity and SpecificitySensitivity: 100% (19/19); Specificity: 95.7% (90/94)
vanA/BHigh Sensitivity and SpecificitySensitivity: 100% (3/3); Specificity: 100% (14/14)

Note: The reported performance above focuses on the prospective clinical study (Table 56) for general analytes and AMR genes (Table 58). Additional archived specimen study (Table 79) and contrived specimen testing (Tables 80 and 81) were conducted to supplement prevalence. The "Overall" rows in these tables represent broader performance. A key technical acceptance criterion was ">95% accuracy as compared to expert annotation" for individual melt curves (99.59% sensitivity, 99.98% specificity) and assay calls (99.49% sensitivity and 99.97% specificity).

2. Sample sizes used for the test set and the data provenance

Test Set for Clinical Performance:

  • Sample Size: 1544 synovial fluid specimens (after exclusions from an initial 1591).
  • Data Provenance:
    • Country of Origin: U.S. and Europe (13 geographically distinct study sites).
    • Retrospective or Prospective: Primarily prospective clinical study. A separate "Archived Specimen Study" was also conducted with 134 retrospective frozen archived specimens, and "Contrived Specimen Testing" was performed using residual clinical samples (N=1235).

Test Set for Reproducibility:

  • Sample Size: 480 valid runs overall (20 replicates per sample and system, across 3 sites and 12 different samples/conditions).
  • Data Provenance: The document implies these were contrived samples tested at multiple laboratory locations; the geographical origin and whether they were retrospective or prospective are not explicitly stated, but they are laboratory-prepared samples.

3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts

The document refers to "expert annotation" for validating the Melt Detector and Analysis Software. However, it explicitly states:

  • "Annotations (positive and negative calls) for all melt curves and assay calls were determined by the sponsor."
  • It does not specify the number or qualifications of these "experts" in detail. It suggests the sponsor (BioFire Diagnostics) established these expert annotations internally using well-characterized samples from clinical and analytical testing.

For the clinical performance studies, the ground truth was established by comparator methods:

  • Bacterial and Yeast Analytes: Standard of Care (SoC) culture, supplemented by a single PCR assay followed by quantitative molecular assay that included sequencing (tMol).
  • AMR Genes: Single PCR assay followed by sequencing (from the specimen) and a separate PCR on cultured isolates at BioFire. Standard manual and automated phenotypic AST of appropriate cultured isolates was performed at the study sites as SoC testing.

The "experts" in this context are the clinicians and laboratory personnel performing the SoC testing and the molecular testing for ground truth establishment. Their specific qualifications are not detailed beyond "standard of care" and "sequencing-based comparator methods."

4. Adjudication method for the test set

For the clinical performance evaluation (Sections V.C.11, 12):

  • Discrepancy Investigation: "Samples for which false positive and/or false negative results (i.e., discrepant results) were obtained when comparing the BioFire Joint Infection Panel results to the comparator method results were further investigated."
  • Adjudication Process:
    1. Discrepant bacterial and yeast samples were first examined by an independent molecular assay performed directly on the specimen.
    2. If the discrepancy remained, the study site was queried to ensure accurate data entry in the Case Report Form (CRF).
    3. If still unresolved, results from additional laboratory testing were considered.
  • Outcome: "Results from the discrepancy testing did not change the final performance estimates." This suggests that even after investigation, the initial comparison results stood for the presented performance metrics. The underlying molecular comparator was considered the definitive ground truth.

5. If a multi reader multi case (MRMC) comparative effectiveness study was done, If so, what was the effect size of how much human readers improve with AI vs without AI assistance

No, a multi-reader multi-case (MRMC) comparative effectiveness study was NOT done.

This device is an automated, qualitative nucleic acid amplification assay (PCR-based IVD). It does not involve human readers interpreting images or data for diagnosis in the way an AI-assisted diagnostic device might for radiology, pathology, or ophthalmology. The "results" are automatically interpreted by the FilmArray Software. Therefore, the concept of "human readers improving with AI vs. without AI assistance" is not applicable to this type of device. The interpretation is performed algorithmically.

6. If a standalone (i.e., algorithm only without human-in-the-loop performance) was done

Yes, a standalone performance evaluation of the algorithm was inherently conducted.

The BioFire JI Panel is designed to be an automated system. The "FilmArray Software automatically interprets the results of each DNA melt curve analysis and combines the data with the results of the internal pouch controls to provide a test result for each organism on the panel."

The "Melt Detector" and "Analysis Software" performance against "expert annotation" (as described in section VI.A.7) directly reflects the standalone performance of the algorithm in interpreting raw data into assay calls.

  • Melt Detector (individual melt curves): Sensitivity 99.59%, Specificity 99.98%
  • Analysis Software (assay calls): Sensitivity 99.49%, Specificity 99.97%

The clinical performance studies (prospective, archived, contrived) also demonstrate the standalone performance of the "algorithm only" device against established ground truth (SoC culture and molecular methods). Human input is limited to specimen preparation and loading, and initiation/monitoring of the run; interpretation of the complex raw data is automated by the software.

7. The type of ground truth used (expert consensus, pathology, outcomes data, etc.)

The ground truth used depends on the analyte:

  • Bacterial analytes and yeast analytes: Standard of Care (SoC) culture was the primary comparator, supplemented by a single PCR assay for the organism of interest followed by a quantitative molecular assay that included sequencing (tMol). A specimen was considered positive if bi-directional sequencing data met predefined quality acceptance criteria and matched NCBI GenBank sequences. If two PCR comparator assays were used, a negative result from both was considered Negative.
  • Antimicrobial Resistance (AMR) genes: A single PCR assay (from the specimen) followed by sequencing. A separate PCR was also performed on cultured isolates. Additionally, Standard manual and automated phenotypic AST (Antimicrobial Susceptibility Testing) of appropriate cultured isolates was performed at the study sites as SoC testing, which was used for comparison in Tables 75-78.

Therefore, the ground truth primarily relies on a combination of:

  • Culture (SoC)
  • Molecular methods (PCR + Sequencing)
  • Phenotypic AST

8. The sample size for the training set

The document does not explicitly specify a "training set" in the context of machine learning, as this device is a PCR-based assay with rule-based software interpretation, not a machine learning model that typically undergoes iterative training and validation phases with separate datasets.

The development and "optimization parameters" of the FilmArray system and its Melt Detector/Analysis Software would have involved extensive internal data and potentially diverse sets of isolates to establish appropriate thresholds and rules. However, these are not presented as a "training set" in the common AI/ML sense. The document refers to "well-characterized samples, collected as part of the clinical evaluation and analytic testing of the Bone and Joint Panel" being used to determine sensitivity and specificity of the Melt Detector and Analysis Software as compared to expert annotation, which implies these were part of the testing/validation phase rather than algorithm training.

9. How the ground truth for the training set was established

As explained in point 8, a "training set" in the machine learning sense is not explicitly detailed. The "expert annotation" described in section VI.A.7 for validating the Melt Detector and Analysis Software "were determined by the sponsor." This would involve internal BioFire experts reviewing raw melt curve data and possibly other molecular characterization data to define true positive/negative signals.

For the analytical performance studies, which involve method development and optimization, the ground truth for various isolates (e.g., in Analytical Reactivity, Precision, LoD) would be based on:

  • Reference strains/isolates: e.g., ATCC strains, AR Bank isolates, NCTC, DSM, CCUG (as seen in Tables 7-48).
  • Known concentrations: "contrived samples containing known concentrations of organisms" (section VI.A.6).
  • In silico analysis of sequences available in public databases (for analytical reactivity/specificity, section VI.A.3).

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EVALUATION OF AUTOMATIC CLASS III DESIGNATION FOR BioFire Joint Infection (JI) Panel DECISION SUMMARY

I Background Information:

A De Novo Number

DEN200066

B Applicant

BioFire Diagnostics, LLC

C Proprietary and Established Names

BioFire Joint Infection (JI) Panel

D Regulatory Information

ProductCode(s)ClassificationRegulationSectionPanel
QSNClass II21 CFR 866.3988 - Deviceto detect and identifymicroorganism nucleicacids and resistancemarkers from patients withsuspected orthopedicinfectionMI - Microbiology

II Submission/Device Overview:

A Purpose for Submission:

De Novo request for evaluation of automatic class III designation for BioFire Joint Infection (JI) Panel

B Measurand:

Anaerococcus prevotii/vaginalis, Bacteroides fragilis, Candida spp., Candida albicans, Citrobacter, Clostridium perfringens, Cutibacterium avidum/granulosum, Enterobacter cloacae complex, Enterococcus faecalis, Enterococcus faecium, Escherichia coli, Fingoldia magna, Haemophilus influenzae, Kingella kingae, Klebsiella aerogenes, Klebsiella pneumoniae group, Morganella morganii, Neisseria gonorrhoeae, Parvimonas micra, Peptoniphilus, Peptostreptococcus anaerobius, Proteus spp., Pseudomonas aeruginosa, Salmonella spp., Serratia marcescens,

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Staphylococcus aureus, Staphylococcus lugdunensis, Streptococcus spp., Streptococcus agalactiae, Streptococcus pneumoniae, Streptococcus pyogenes, CTX-M. IMP. KPC. NDM. OXA-48-like. VIM. mecA/C and MREJ.

C Type of Test:

Qualitative nucleic acid amplification assay

III Indications for Use:

A Indication(s) for Use:

The BioFire Joint Infection (JI) Panel is a multiplexed nucleic-acid-based, in vitro diagnostic test intended for use with BioFire FilmArray 2.0 and BioFire FilmArray Torch Systems for the simultaneous qualitative detection and identification of multiple bacterial and yeast nucleic acids and select antimicrobial resistance genes from synovial fluid obtained from individuals suspected to have a joint infection.

The following organisms are identified using the BioFire JI Panel: Anaerococcus prevotii/vaginalis, Bacteroides fragilis, Candida spp., Candida albicans, Citrobacter, Clostridium perfringens, Cutibacterium avidum/granulosum, Enterobacter cloacae complex, Enterococcus faecalis, Enterococcus faecium, Escherichia coli, Fingoldia magna, Haemophilus influenzae, Kingella kingae, Klebsiella aerogenes, Klebsiella pneumoniae group, Morganella morganii. Neisseria gonorrhoeae, Parvimonas micra, Peptoniphilus, Peptostreptococcus anaerobius, Proteus spp., Pseudomonas aeruginosa, Salmonella spp., Serratia marcescens, Staphylococcus aureus, Staphylococcus lugdunensis, Streptococcus spp., Streptococcus agalactiae, Streptococcus pneumoniae, and Streptococcus pyogenes.

The BioFire JI Panel contains assays for the detection of genetic determinants associated with S. aureus resistance to methicillin (mecA/C) in conjunction with the SCCmec right extremity junction (MREJ), enterococcal resistance to vancomycin (vanA and vanB), and some mechanisms of gram-negative bacterial resistance ß-lactams including penicillins, cephalosporins, monobactams, and carbapenems (blactx.M, blakec, blaNDM, blaOXA-48-like; blavin). Detection of these genetic determinants can aid in the identification of potentially antimicrobial-resistant organisms in synovial fluid samples. The antimicrobial resistance gene or marker detected may or may not be associated with the agent responsible for disease. Negative results for these select antimicrobial resistance gene assays do not indicate susceptibility, as multiple mechanisms of resistance to methicillin, vancomycin, and ß-lactams exist.

The BioFire JI Panel is indicated as an aid in the diagnosis of specific agents of joint infection and results should be used in conjunction with other clinical and laboratory findings. Negative results may be due to infection with pathogens that are not detected by this test, pathogens present below the limit of detection of the assay, or infection that may not be detected in a synovial fluid specimen. Positive results do not rule out co-infection with other organisms. The BioFire JI Panel is not intended to monitor treatment for joint infections.

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Culture of synovial fluid is necessary to recover organisms for susceptibility testing and epidemiological typing, to identify organisms in the synovial fluid that are not detected by the BioFire JI Panel, and to further identify species in the genus, complex or group results.

B Special Conditions for Use Statement(s):

Rx - For Prescription Use Only

C Special Instrument Requirements:

The BioFire JI Panel is performed on the FilmArray 2.0 or FilmArray Torch systems.

IV Device/System Characteristics:

A Device Description:

The BioFire Joint Infection (JI) Panel is designed to simultaneously identify 39 different bacteria, yeast, and select genetic determinants of antimicrobial resistance from synovial fluid specimens. The BioFire JI Panel is compatible with BioFire's PCR-based in vitro diagnostic BioFire FilmArray 2.0 and BioFire FilmArray Torch Systems for infectious disease testing. A panel-specific software module (i.e., BioFire JI Panel pouch module software) is used to perform BioFire JI Panel testing on these systems.

A test is initiated by loading Hydration Solution into one port of the BioFire JI Panel pouch and the synovial fluid sample mixed with the provided Sample Buffer into the other port of the BioFire JI Panel pouch and placing it in a FilmArray instrument. The pouch contains all of the reagents required for specimen testing and analysis in a freeze-dried format; the addition of Hydration Solution and Sample/Buffer Mix rehydrates the reagents. After the pouch is prepared, the BioFire Software guides the user through the steps of placing the pouch into the instrument, scanning the pouch barcode, entering the sample identification, and initiating the run.

The FilmArray instrument contains a coordinated system of inflatable bladders and seal points. which act on the pouch to control the movement of liguid between the pouch blisters. When a bladder is inflated over a reagent blister, it forces liquid from the blister into connecting channels. Alternatively, when a seal is placed over a connecting channel it acts as a valve to open or close a channel. In addition, electronically-controlled pneumatic pistons are positioned over multiple plungers in order to deliver the rehydrated reagents into the blisters at the appropriate times. Two Peltier devices control heating and cooling of the pouch to drive the PCR reactions and the melt curve analysis.

Nucleic acid extraction occurs within the FilmArray pouch using mechanical and chemical lysis followed by purification using standard magnetic bead technology. After extracting and purifying nucleic acids from the unprocessed sample, the Film Array performs a nested multiplex PCR that is executed in two stages. During the first stage, the FilmArray performs a single, large volume, highly

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multiplexed reverse transcription PCR (rt-PCR) reaction. The products from first stage PCR are then diluted and combined with a fresh, primer-free master mix and a fluorescent double stranded DNA binding dye (LC Green Plus, BioFire Diagnostics). The solution is then distributed to each well of the array. Array wells contain sets of primers designed specifically to amplify sequences internal to the PCR products generated during the first stage PCR reaction. The 2nd stage PCR, or nested PCR, is performed in singleplex fashion in each well of the array. At the end of the 2nd stage PCR, the array is interrogated by melt curve analysis for the detection of signature amplicons denoting the presence of specific targets. A digital camera placed in front of the 2nd stage PCR captures fluorescent images of the PCR reactions and software interprets the data.

The FilmArray Software automatically interprets the results of each DNA melt curve analysis and combines the data with the results of the internal pouch controls to provide a test result for each organism on the panel.

Materials provided in each BioFire Joint Infection Panel kit:

Each kit contains sufficient reagents to test 30 samples (30-test kit; RFIT-ASY-0138):

  • . Individually-packaged BioFire JI Panel pouches
  • Single-use (1.0 mL) Sample Buffer ampoules .
  • Single-use pre-filled (1.5 mL) Hydration Injection Vials (blue) .
  • Single-use Sample Injection Vials (red) .
  • Individually-packaged Transfer Pipettes .

Materials required but not provided:

  • . FilmArray system including:
    • FilmArray 2.0 or FilmArray Torch and accompanying software
    • FilmArray Pouch Loading Station
  • · 10% bleach solution

Interpretation of Results

When PCR2 is complete, the FilmArray instrument performs a DNA melting analysis on the PCR products and measures the fluorescence signal generated in each well (for more information see appropriate FilmArray Operator's Manual). The FilmArray Software then performs several analyses and assigns a final assay result. The steps in the analyses are described below.

Analysis of Melt Curves

The FilmArray Software evaluates the DNA melt curve for each well of the PCR2 array to determine if a PCR product was present in that well. If the melt profile indicates the presence of a PCR product, then the analysis software calculates the melting temperature (Tm) of the curve and compares it against the expected Tm range for the assay. If the software

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determines that the Tm of the curve is within the assay-specific Tm range. the melt curve is called positive. If the software determines that the Tm of the curve is not in the appropriate Tm range, the melt curve is called negative.

Analysis of Replicates

Once positive melt curves have been identified, the software evaluates the replicates for each assay to determine the assay result. For an assay to be called positive, two associated melt curves must be called positive, and both Tms must be similar. Assays that do not meet these criteria are called negative.

Organism and Antimicrobial Resistance Gene Interpretation

Each positive and negative assay result is interpreted by the FilmArray Software to provide results for the identification of specific bacteria and antimicrobial resistance (AMR) genes. For most analytes detected by the BioFire JI Panel, interpretations are based on the result of a single assay. However, results for the AMR genes require interpretation based on more than one assay result, as discussed in the relevant sections below.

Interpretations for Gram-positive Bacteria

The BioFire Joint Infection Panel provides a Detected or Not Detected result for most gram-positive bacteria based on one corresponding assay result. If the assay is positive, the test result will be Detected, and if the assay is negative, the test result will be Not Detected. Detection of organisms for which results are based on the interpretation of more than one assay are described below.

Cutibacterium avidum/granulosum

The BioFire JI Panel contains two assays (Cutibacterium1 and Cutibacterium 2) for the detection of these two Curibacterium species. A positive result for one or both assays will generate a Cutibacterium avidum/granulosum Detected test result. Cutibacterium avidum/granulosum will be reported as Not Detected when both assays are negative.

Staphylococcus aureus

The BioFire JI Panel contains two different assays (Saureus1 and Saureus2) for the detection of Staphylococcus aureus. The FilmArray Software interprets each of these assays independently (as described above) and if one or a combination of the assays is positive, the result will be Staphylococcus aureus Detected. If both assays are negative the result will be Staphylococcus aureus Not Detected.

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Streptococcus spp.

The BioFire JI Panel contains four assays for the detection of Streptococcus species. Species-specific assays are included for the detection of Streptococcus pyogenes (Spyogenes), Streptococcus agalactiae (Sagalactiae), and Streptococcus pneumoniae (Spneumoniae). The fourth assay is a genus level assay (Streptococcus) designed to react with most Viridans group and other Streptococcus species that are not specifically identified by one of the other assays on the panel. The software integrates the results of all four Streptococcus assays into a Streptococcus spp. result as shown in the table below.

BioFire JI Panel ResultsStreptococcusSagalactiaeSpneumoniaeSpyogenesDescription
AssayAssayAssayAssay
Streptococcus spp NotDetectedStreptococcus agalactiaeNot DetectedStreptococcus pneumoniaeNot DetectedStreptococcus pyogenesNot DetectedNegativeNegativeNegativeNegativeNo Streptococcus speciesdetected in the sample
Streptococcus spp DetectedStreptococcus agalactiaeNot DetectedStreptococcus pneumoniaeNot DetectedStreptococcus pyogenesNot DetectedPositiveNegativeNegativeNegativeOne or more Streptococcusspecies detected in the sample(not S. agalactiae, S.pneumoniae, or S. pyogenes)
Streptococcus spp DetectedStreptococcus agalactiaeDetectedStreptococcus pneumoniaeNot DetectedStreptococcus pyogenesNot DetectedAny ResultPositiveNegativeNegativeS. agalactiae detected in thesample.Note: additional Streptococcusspecies (not S. pneumoniae orS. pyogenes) may also be inthe sample.
Streptococcus spp DetectedStreptococcus agalactiaeNot DetectedStreptococcus pneumoniaeDetectedStreptococcus pyogenesNot DetectedAny ResultNegativePositiveNegativeS. pneumoniae detected in thesample.Note: additional Streptococcusspecies (not S. agalactiae or S.pyogenes) may also be in thesample.
Streptococcus spp DetectedStreptococcus agalactiaeNot DetectedStreptococcus pneumoniaeNot DetectedStreptococcus pyogenesDetectedAny ResultNegativeNegativePositiveS. pyogenes detected in thesample.Note: additional Streptococcusspecies (not S. agalactiae or S.pneumoniae) may also be inthe sample.

Table 1. Streptococcus Species Results Reporting

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Interpretations for Gram-negative Bacteria

The BioFire JI Panel contains assays for the specific detection of several gram-negative aerobic and anaerobic species associated with bone and joint infections. Species are identified individually (Bacteroides fragilis, Escherichia coli, Haemophilus influenzae, Kingella kingae, Klebsiella aerogenes, Morganella morganii, Neisseria gonorrhoeae, Pseudomonas aeruginosa. Serratia marcescens), or as multi-species complex, group, or genus results (Enterobacter cloacae complex, Klebsiella pneumoniae group, Citrobacter, Proteus spp., and Salmonella spp.). Each species, complex, group, or genus result is reported as Detected or Not Detected based on an individual corresponding assay result. If the assay is positive, the result will be Detected; if the assay is negative, the result will be Not Detected.

Interpretations for Antimicrobial Resistance (AMR) Genes

The BioFire JI Panel contains assays for the specific detection of several genetic determinants of resistance to multiple classes of antibiotics found in select gram-positive bacteria (mecA/C and MREJ [MRSA] and vanA/B) or gram-negative bacteria (CTX-M, IMP, KPC, NDM, OXA-48-like, and VIM). Results for the AMR genes are not reported unless an applicable bacterium (Table 2) is also detected, therefore the results are based on multiple assays, as described below.

The results for each of the antimicrobial resistance genes will be listed as either:

  • i Detected - when an applicable bacterium is detected AND the antimicrobial resistance gene assay(s) are positive.
  • i Not Detected - when an applicable bacterium is detected AND the antimicrobial resistance gene assay(s) are negative.
  • i N/A - when all applicable bacteria are Not Detected, regardless of the result for the antimicrobial resistance gene assay(s).

Table 2: Antimicrobial Resistance (AMR) Genes and Applicable Organisms

AMR Gene ResultApplicable Bacteria
mecA/C and MREJStaphylococcus aureus
vanA/BEnterococcus faecalisEnterococcus faecium

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AMR Gene ResultApplicable Bacteria
CTX-MCitrobacterEnterobacter cloacae complexEscherichia coliKlebsiella aerogenesKlebsiella pneumoniae groupMorganella morganiiProteus spp.Pseudomonas aeruginosaSalmonella spp.Serratia marcescens
IMPCitrobacterEnterobacter cloacae complexEscherichia coliKlebsiella aerogenesKlebsiella pneumoniae groupMorganella morganiiProteus spp.Pseudomonas aeruginosaSalmonella spp.Serratia marcescens
KPCCitrobacterEnterobacter cloacae complexEscherichia coliKlebsiella aerogenesKlebsiella pneumoniae groupMorganella morganiiProteus spp.Pseudomonas aeruginosaSalmonella spp.Serratia marcescens
NDMCitrobacterEnterobacter cloacae complexEscherichia coliKlebsiella aerogenesKlebsiella pneumoniae groupMorganella morganiiProteus spp.Pseudomonas aeruginosaSalmonella spp.Serratia marcescens
VIMCitrobacterEnterobacter cloacae complexEscherichia coliKlebsiella aerogenesKlebsiella pneumoniae groupMorganella morganiiProteus spp.Pseudomonas aeruginosaSalmonella spp.Serratia marcescens
OXA-48-likeCitrobacterEnterobacter cloacae complexEscherichia coliKlebsiella aerogenesKlebsiella pneumoniae groupMorganella morganiiProteus spp.Salmonella spp.Serratia marcescens

Each AMR gene result is associated with a single corresponding assay except for the mecA/C and MREJ result, which is dependent on both the mecA/C assay and the MREJ assay. Detection of both Staphylococcus aureus and the mecA/C and MREJ markers is indicative of Methicillin Resistant Staphylococcus Aureus (MRSA).

Run Summary

The Run Summary section of the test report provides information about the sample and the run including: Sample ID, time and date of run, control results, and an overall summary of the test results. Control results are reported as Passed, Failed, or Invalid. The Table 3 below provides additional information for each of the possible control field results.

Table 3: Interpretation of Controls Field on the BioFire JI Panel Test Report
ControlResultExplanationAction
PassedThe run was successfully completedANDBoth pouch controls weresuccessful.NoneReport the results provided on the test report.
FailedThe run was completedBUTAt least one of the pouch controls(RNA Process Control and/orPCR2) failed.Repeat the test using a new pouch.If the error persists, contact CustomerTechnical Support for further instruction.

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ControlResultExplanationAction
InvalidThe controls are invalid because therun did not complete.(Typically this indicates a softwareor hardware error).Note the Run Status field in the Run Detailssection of the report. Refer to the appropriateBioFire operator's manual or contactTechnical Support for further instruction.Once the error is resolved, repeat the test orrepeat the test using another module, ifavailable.

Result Summary

The Results Summary section of the test report lists the result for each target tested by the panel. Possible results for each organism are Detected, Not Detected, or Invalid. Possible results for each antimicrobial resistance gene are Detected, Not Detected, N/A, or Invalid. Table 4 below provides an explanation for each interpretation and any follow-up necessary to obtain a final result.

ResultExplanationAction
DetectedThe run was successfully completedANDThe pouch controls were successful (Passed)ANDThe assay(s) for the organism were POSITIVEReportresults.
Not DetectedThe run was successfully completedANDThe pouch controls were successful (Passed)ANDThe assay(s) for the organism were NEGATIVEReportresults.
InvalidThe pouch controls were not successful (Failed)ORThe run was not successful(Run Status displayed as: Aborted, Incomplete, InstrumentError or Software Error)See Table3 forinstruction.
N/A(AntimicrobialResistanceGenes only)The run was successfully completedANDThe pouch controls were successful (Passed)ANDThe assay(s) for the organism(s) associated with theantimicrobial resistance gene were NEGATIVE so theresults of the antimicrobial resistance gene are notapplicable to the test results.Reportresults.

Table 4: Reporting of Results and Required Actions

B Principle of Operation

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The BioFire JI Panel pouch is a closed system disposable that stores all the necessary reagents for sample preparation, reverse transcription, polymerase chain reaction (PCR), and detection in order to isolate, amplify, and detect nucleic acid from multiple bacterial and/or fungal pathogens within a single synovial fluid specimen. After sample collection, the user injects hydration solution and sample combined with sample buffer into the pouch, places the pouch into a FilmArray instrument, and starts a run. The entire run process takes about one hour. Additional detail can be found in the appropriate FilmArray Operator's Manual.

During a run, the FilmArray system:

  • . Lyses the sample by agitation (bead beading).
  • . Extracts and purifies all nucleic acids from the sample using magnetic bead technology.
  • Performs nested multiplex PCR bv: .
    • · First performing reverse transcription and a single, large volume. massively-multiplexed reaction (PCR1)
    • · Then performing multiple singleplex second-stage PCR reactions (PCR2) to amplify sequences within the PCR1 products
  • . Uses endpoint melting curve data to detect and generate a result for each target on the BioFire Joint Infection Panel array.

C Instrument Description Information

    1. Instrument Name:
      FilmArray 2.0 or FilmArray Torch
    1. Specimen Identification:
      Synovial fluid specimens
    1. Specimen Sampling and Handling:
      Synovial fluid specimens should be tested as soon as possible after collection. If transport or storage is required, specimens can be held refrigerated for up to 7 days (2-8°C),
    1. Calibration:
      N/A
    1. Quality Control:
      See section VI.5 for information on internal and external controls.

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V Standards/Guidance Documents Referenced:

  • . ISO 14971:2019 Medical devices - Applications of risk management to medical devices
  • IEC 62366-1:2015, Medical device Application of usability . engineering to medical devices
  • ISO 62304:2006. Medical device software Software life-cycle . processes - IEC 62304:2006, November 27, 2008
  • . ISO 15223-1:2016 Medical Devices - Symbols to be used with medical devie labels, labeling and information to be supplied - Part 1: General requirements
  • . ISO13485:2016/EN ISO 13485:2016. Medical devices - Quality Management System - Requirements for regulatory purposes
  • ISO 20916:2019 In vitro diagnostic medical devices Clinical . performance studies using specimens from human subjects - Good study practice
  • . EN 13612:20002, Performance evaluation of in vitro diagnostic medical devices (European Commission)
  • EN ISO 18113-1:2011. In vitro diagnostic medical devices -. Information supplied by the manufacturer (labeling) - Part 1: Terms, definition, and general requirements
  • . EN ISO 18113-2:2011, In vitro diagnostic medical devices -Information supplied by the manufacturer (labeling) - Part 2: In vitro diagnostic reagents for professional use
  • EN ISO 23640: 2015. In vitro diagnostic medical devices -. Evaluation of stability of in vitro diagnostic reagents

Performance Characteristics: VI

A Analytical Performance:

1. Precision/Reproducibility:

A multi-site reproducibility study of the BioFire JI Panel was performed with contrived synovial fluid samples over multiple days at three laboratory locations (sites) on a combination of FilmArray 2.0 and FilmArray Torch systems. Reproducibility represents the run-to-run variability of results under actual use conditions over time and is measured as agreement with the expected result. The study evaluated contrived samples containing a subset of representative organisms and AMR genes at two concentrations (and negative). The study incorporated potential variation introduced by site (three), day (five), operator (at least two per site), instrument module/system, and reagent kit lot (three). Negative results were obtained from samples that were not spiked with the organism or AMR gene.

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Each of the three sites tested 20 replicates per sample and system for a total of 120 valid runs per sample and 480 valid runs overall.

A summary of results (percent (%) agreement with the expected Detected or Not Detected result) for each atypical bacterium and virus (by site and system) is provided Table 5 below.

ConcentrationTestedExpectedResultAgreement with Expected Result
AnalyteFilmArray2.0FilmArrayTorchAll Sites[95% CI]
Gram Positive Bacteria
Anaerococcusprevotii/vaginalisNone(No Analyte)Not Detected240/240100%240/240100%480/480100%[99.2%-100%]
Clostridium perfringensNone(No Analyte)Not Detected240/240100%240/240100%480/480100%[99.2%-100%]
Cutibacteriumavidum/granulosumNone(No Analyte)Not Detected240/240100%240/240100%480/480100%[99.2%-100%]
Enterococcus faecalisNone(No Analyte)Not Detected240/240100%238/24099.2%478/48099.6%[98.5%-99.9%]
Moderate Positive3× LoD3.6E+03 copies/mLDetected60/60100%60/60100%120/120100%[97.0%-100%]
Enterococcus faecium(ATCC 700221)Low Positive1× LoD1.2E+03 copies/mLDetected60/60100%60/60100%120/120100%[97.0%-100%]
None(No Analyte)Not Detected120/120100%120/120100%240/240100%[98.5%-100%]
Finegoldia magnaNone(No Analyte)Not Detected240/240100%240/240100%480/480100%[99.2%-100%]
Parvimonas micraNone(No Analyte)Not Detected240/240100%240/240100%480/480100%[99.2%-100%]
PeptoniphilusNone(No Analyte)Not Detected240/240100%240/240100%480/480100%[99.2%-100%]
Peptostreptococcusanaerobius(ATCC 27337)Moderate Positive3× LoD4.8E+04 copies/mLDetected60/60100%60/60100%120/120100%[97.0%-100%]
ConcentrationTestedExpectedResultAgreement with Expected Result
AnalyteFilmArray2.0FilmArrayTorchAll Sites[95% CI]
Low Positive1× LoD1.6E+04 copies/mLDetected60/60100%60/60100%120/120100%[97.0%-100%]
None(No Analyte)Not Detected120/120100%120/120100%240/240100%[98.5%-100%]
Moderate Positive3× LoD1.3E+04 copies/mLDetected60/60100%60/60100%120/120100%[97.0%-100%]
Staphylococcus aureus(ATCC 43300)Low Positive1× LoD4.2E+03 copies/mLDetected60/60100%60/60100%120/120100%[97.0%-100%]
None(No Analyte)Not Detected120/120100%119/12099.2%239/24099.6%[97.7%-99.9%]
StaphylococcuslugdunensisNone(No Analyte)Not Detected240/240100%240/240100%480/480100%[99.2%-100%]
Moderate Positive3× LoD1.6E+03 copies/mLDetected58/6096.7%60/60100%118/12098.3%[94.1%-99.8%]
Streptococcus spp.(Streptococcus pneumoniae;ATCC 6303)Low Positive1× LoD5.3E+02 copies/mLDetected59/6098.3%59/6098.3%118/12098.3%[94.1%-99.8%]
None(No Analyte)Not Detected120/120100%120/120100%240/240100%[98.5%-100%]
Streptococcus agalactiaeNone(No Analyte)Not Detected240/240100%240/240100%480/480100%[99.2%-100%]
Streptococcus pneumoniae(ATCC 6303)Moderate Positive3× LoD1.6E+03 copies/mLDetected58/6096.7%60/60100%118/12098.3%[94.1%-99.8%]
AnalyteConcentrationTestedExpectedResultAgreement with Expected Result
FilmArray2.0FilmArrayTorchAll Sites[95% CI]
Low Positive1x LoD5.3E+02 copies/mLDetected59/6098.3%59/6098.3%118/12098.3%[94.1%-99.8%]
None(No Analyte)Not Detected120/120100%120/120100%240/240100%[98.5%-100%]
Streptococcus pyogenesNone(No Analyte)Not Detected240/240100%240/240100%480/480100%[99.2%-100%]
ConcentrationTestedExpectedResultAgreement with Expected Result
AnalyteFilmArray2.0FilmArrayTorchAll Sites[95% CI]
Bacteroides fragilis(ATCC 25285)Moderate Positive3× LoD3.3E+03 copies/mLDetected60/60100%60/60100%120/120100%[97.0%-100%]
Low Positive1× LoD1.1E+03 copies/mLDetected60/60100%60/60100%120/120100%[97.0%-100%]
None(No Analyte)Not Detected120/120100%120/120100%240/240100%[98.5%-100%]
Citrobacter(Citrobacter freundii;ATCC 8090)Moderate Positive3× LoD1.4E+04 copies/mLDetected60/60100%60/60100%120/120100%[97.0%-100%]
Low Positive1× LoD4.7E+03 copies/mLDetected60/60100%60/60100%120/120100%[97.0%-100%]
None(No Analyte)Not Detected120/120100%120/120100%240/240100%[98.5%-100%]
Enterobacter cloacaecomplexNone(No Analyte)Not Detected240/240100%240/240100%480/480100%[99.2%-100%]
Eschericia coliAR-Bank#0150High Positive30× LoD1.8E+05 copies/mLDetected60/60100%60/60100%120/120100%[97.0%-100%]
High Positive10× LoD6.0E+04 copies/mLDetected60/60100%60/60100%120/120100%[97.0%-100%]
None(No Analyte)Not Detected120/120100%120/120100%240/240100%[98.5%-100%]
Haemophilus influenzaeATCC 10211Moderate Positive3× LoD2.1E+03 copies/mLDetected60/60100%60/60100%120/120100%[97.0%-100%]
Low Positive1× LoD6.9E+02 copies/mLDetected60/60100%60/60100%120/120100%[97.0%-100%]
None(No Analyte)Not Detected120/120100%120/120100%240/240100%[98.5%-100%]
AnalyteConcentrationTestedExpectedResultFilmArray2.0FilmArrayTorchAll Sites[95% CI]
Kingella kingaeNone(No Analyte)Not Detected240/240100%240/240100%480/480100%[99.2%-100%]
Klebsiella aerogenesNone(No Analyte)Not Detected240/240100%240/240100%480/480100%[99.2%-100%]
Klebsiella pneumoniaegroup(Klebsiella pneumoniae;AR-Bank#0097)Moderate Positive3x LoD4.8E+04 copies/mLDetected60/60100%60/60100%120/120100%[97.0%-100%]
Klebsiella pneumoniaegroup(Klebsiella pneumoniae;AR-Bank#0097)Low Positive1x LoD1.6E+04 copies/mLDetected60/60100%60/60100%120/120100%[97.0%-100%]
Klebsiella pneumoniaegroup(Klebsiella pneumoniae;AR-Bank#0097)None(No Analyte)Not Detected120/120100%120/120100%240/240100%[98.5%-100%]
Morganella morganiiNone(No Analyte)Not Detected240/240100%240/240100%480/480100%[99.2%-100%]
Neisseria gonorrhoeaeATCC 19424Moderate Positive3x LoD6.6E+03 copies/mLDetected60/60100%60/60100%120/120100%[97.0%-100%]
Neisseria gonorrhoeaeATCC 19424Low Positive1x LoD2.2E+03 copies/mLDetected59/6098.3%60/60100%119/12099.2%[95.4%-99.9%]
Neisseria gonorrhoeaeATCC 19424None(No Analyte)Not Detected120/120100%120/120100%240/240100%[98.5%-100%]
Proteus spp.None(No Analyte)Not Detected240/240100%240/240100%480/480100%[99.2%-100%]
Pseudomonas aeruginosaNone(No Analyte)Not Detected240/240100%240/240100%480/480100%[99.2%-100%]
Salmonella spp.None(No Analyte)Not Detected240/240100%240/240100%480/480100%[99.2%-100%]
Serratia marcescensNone(No Analyte)Not Detected240/240100%240/240100%480/480100%[99.2%-100%]
Yeast
AnalyteConcentrationTestedExpectedResultAgreement with Expected Result
FilmArray2.0FilmArrayTorchAll Sites[95% CI]
Candida krusei(ATCC 6258)Moderate Positive3× LoD3.0E+03 CFU/mLDetected60/60100%60/60100%120/120100%[97.0%-100%]
Candida krusei(ATCC 6258)Low Positive1× LoD1.0E+03 CFU/mLDetected60/60100%60/60100%120/120100%[97.0%-100%]
Candida krusei(ATCC 6258)None(No Analyte)Not DetectedN/A
Candida albicans(ATCC 90028)Moderate Positive3× LoD1.5E+03 CFU/mLDetected60/60100%60/60100%120/120100%[97.0%-100%]
Candida albicans(ATCC 90028)Low Positive1× LoD5.0E+02 CFU/mLDetected60/60100%60/60100%120/120100%[97.0%-100%]
Candida albicans(ATCC 90028)None(No Analyte)Not Detected120/120100%120/120100%240/240100%[98.5%-100%]
AnalyteConcentrationTestedExpectedResultAgreement with Expected ResultAll Sites[95% CI]
CTX-MNone(No Analyte)Not Detected240/240100%240/240100%480/480100%[99.2%-100%]
IMPNone(No Analyte)Not Detected240/240100%240/240100%480/480100%[99.2%-100%]
KPC(Klebsiella pneumoniae;AR-Bank#0097)Moderate Positive3× LoD4.8E+04 copies/mLDetected60/60100%60/60100%120/120100%[97.0%-100%]
Low Positive1× LoD1.6E+04 copies/mLDetected60/60100%60/60100%120/120100%[97.0%-100%]
None(No Analyte)Not Detected120/120100%120/120100%240/240100%[98.5%-100%]
mecA/C and MREJ(MRSA)(Staphylococcus aureus;ATCC 43300)Moderate Positive3× LoD1.3E+04 copies/mLDetected60/60100%60/60100%120/120100%[97.0%-100%]
Low Positive1× LoD4.2E+03 copies/mLDetected60/60100%60/60100%120/120100%[97.0%-100%]
None(No Analyte)Not Detected120/120100%120/120100%240/240100%[98.5%-100%]
NDM(E. coli;AR-Bank#0150)High Positive30× LoD1.8E+05 copies/mLDetected60/60100%60/60100%120/120100%[97.0%-100%]
High Positive10× LoD6.0E+04 copies/mLDetected60/60100%60/60100%120/120100%[97.0%-100%]
None(No Analyte)Not Detected120/120100%120/120100%240/240100%[98.5%-100%]
OXA-48-likeNone(No Analyte)Not Detected240/240100%240/240100%480/480100%[99.2%-100%]
vanA/B(Enterococcus faecium;ATCC 700221)Moderate Positive3× LoD3.6E+03 copies/mLDetected60/60100%60/60100%120/120100%[97.0%-100%]
AnalyteConcentrationTestedExpectedResultAgreement with Expected Result
FilmArray2.0FilmArrayTorchAll Sites[95% CI]
Low Positive1× LoD1.2E+03 opies/mLDetected60/60100%60/60100%120/120100%[97.0%-100%]
None(No Analyte)Not Detected120/120100%120/120100%240/240100%[98.5%-100%]
VIMNone(No Analyte)Not Detected240/240100%240/240100%480/480100%[99.2%-100%]
Overall Agreement with Expected Results[95% Confidence Interval]18,468/18,48099.94%[99.89-99.97]

Table 5: Reproducibility of BioFire Joint Infection Panel Results

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2. Linearity:

Not applicable.

3. Analytical Specificity/Interference:

Analytical Reactivity

Analytical reactivity of the BioFire JI Panel assays was evaluated using a combination of in silico analysis of sequences available in public databases and testing of over 350 different isolates representing various species, subspecies, strains, serotypes, AMR gene types, and other characterized variants. Each isolate was tested in triplicate at concentrations near LoD or the lowest reportable level for the analyte.

Limitations on assay reactivity (observed and/or predicted by in silico analysis) with specific bacterial and yeast isolates or sequences and specific AMR gene types or sequences are noted (Table 6). Most limitations are associated with single-base sequence variants under one or more assay primers.

Table 6. Limitations on Analytical Reactivity of BioFire JI Panel Assays

LimitationAnalyteStrain/Isolate Variant
Minor(Detected at <30X LoD)Anaerococcus prevottii/vaginalisªclinical isolates (privatecollection) with variant sequencesa
Enterobacter cloacae complexbEnterobacter hormaechei ATCC49162b
Pseudomonas aeruginosaPseudomonas aeruginosa ATCC 9027
Candida albicansc'petite' strains (altered or no mitochondrial DNA)c
Cutibacterium granulosumclinical isolate (private collection with variant sequence
Enterobacter cloacae complexbEnterobacter asburiae ATCC 35953, ATCC35954, and ATCC 35957b
Haemophilus influenzaeclinical isolate (private collection USA 2012) with gene target deletion
Klebsiella aerogenesKlebsiella (Enterobacter) aerogenes ATCC 29751
Neisseria gonorrhoeaeNeisseria gonorrhoeae NCTC 13817 (strain WHO-U)
Major(Detected at ≥100X LoDOr Not Detected)Pseudomonas aeruginosaPseudomonas aeruginosa ATCC 25619
Streptococcus pyogenesclinical isolate (private collection USA 2019) with gene target deletion or re-arrangement
AMR Gene Types
CTX-MCTX-M types 74, 75, 113, 151
IMPIMP types 31, 35, 46
mecA/C and MREJd,eMREJ type xvd, xviiie, xixe, xxe
VIMVIM types 7, 39, 45, 46, 61, 65, 67
Rare or Non-relevant Species
Candida spp.several Candida species; see Error! Reference source not found.
CitrobacterCitrobacter almonaticus, C. farmeri, C.gillenii, C. rodentium, C. sedlakii
Peptoniphilus spp.Peptoniphilus coxii, P. duerdenii, P. ivorii, P. koenoeneniae, P. massiliensisf, P. porci, P. olsenii, P. tyrelliase
Streptococcus spp.Streptococcus entericus, S.halitosis, S. hyovaginalis, S. pantholopis

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3 Detection near LoD was impaired for four isolates of A. vaginalis. Sequencing revealed primer mismatches predicted to impar detection. Comparable sequence variants were observed in two A. vaginalis sequences retrieved from public databases. A limitation on reactivity is predicted for approximately 25% of A. prevotii/vaginalis sequences and isolates evaluated.

b Reactivity limitations observed or predicted for sequence variants identified for E. hormacchei ATCC 49162, E. asburiae ATCC 35953 (tested), ATCC 35954 (not tested), ATCC 35955 (not tested), and a small subset of database sequences for E. cloacae, E. hormaechei, E. ludwigii and E. mori with similar or less impactful variants under assay primers. Variant sequences with major or minor reactivity limitations represent less than 2% of sequences for ECC species.

· Petite strains of Candida albicans will not be detected by the Candida albicans-specific assay but will be amplified by the multi-species Candida assay and reported as Candida Detected.

4 Sequence analysis predicts that approximately 40% of MREJ type xv-like sequences will not be detected due to a variant base at the 3' end of an assay primer.

€ MREJ types xviii, xix and xx will not be described in association with methicillin-sensitive isolates, so the meca/C and MREJ (MRSA) Not Detected result with the methicillin-sensitive phenotype of isolates with these MREJ types.

f Not a validly published Peptoniphilus species.

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OrganismIsolate ID(Strain)TestConcentration(copies/mL)xLoDResult
AnaerococcusprevotiiATCC 9321(PC 1)4.8E+031xAnaerococcus prevotii/vaginalis Detecteda
ATCC 14952(M3)1.4E+053x
CCUG 726011.4E+053x
VTK 4002391.4E+053x
ATCC 51170(GIFU 12669)4.8E+041x
DSM 25446(ph9)1.4E+053x
AnaerococcusvaginalisGRE 16540211.4E+053x
GRE 1554051a1.4E+0630x
GRE 16530214.8E+0510x
GRE 1757298a4.8E+0510x
VTK 401665a1.4E+0630x
VTK 401672a4.8E+0510x

Table 7: Angerococcus prevotii/vaginalis Isolates Tested

aVariant sequence with 3' base mismatch to a primer that may impair detection near LoD (10 to 30-fold). Variant sequences with minor detection impairment represent ~25% of total A. prevotii/vaginalis sequences evaluated.

Table 8: Clostridium perfringens Isolates Tested

OrganismToxinotypeIsolate IDTest ConcentrationResult
(copies/mL)X LoD
ClostridiumperfringensAATCC 13124 (S 107)1.3E+031xClostridiumperfringens
AATCC 27059 (814)3.9E+033xClostridiumperfringens
CATCC 3628 (Strain 51)3.9E+033xClostridiumperfringens
EATCC 80093.9E+033xDetected
-ATCC 9081 (13942)3.9E+033x
Test Concentration
OrganismIsolate ID(copies/mL)X LoDResult
CutibacteriumavidumATCC 25577 (1689B, VPI 0179)5.0E+041xCutibacteriumDetected
ATCC 49753 (VPI 0575)1.5E+053x
ATCC 49754 (VPI 0576)5E+0510x
ATCC 49755 (VPI 0589)1.5E+053x
ATCC 49769 (VPI 0670)5E+0510x
ATCC 25564 (VPI 0507)5.0E+041x
ATCC 11829 (VPI 0210)1.5E+053x
CutibacteriumgranulosumATCC 25746 (D-34)1.5E+053xCutibacteriumDetected
CCUB 14831 (Serovar 3)1.5E+053x
GRE 15540461.5E+053x
GRE 1951015a5E+0510x
GRE 1760015a5.0E+06100xCutibacteriumNot Detected

Table 9: Cutibacterium avidum/granulosum Isolates Tested

aSequences with predicted impacts on reactivity by in silico analysis

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OrganismIsolate ID (Strain)Test ConcentrationResult
(copies/mL)X LoD
EnterococcusfaecalisATCC 51299 (NJ-3)5.0E+031xEnterococcusfaecalisDetected
ATCC 19433 (Tissier)1.5E+043x
ATCC 49533 (UWH 1936)1.5E+043x
ATCC 700802 (V583)1.5E+043x
ATCC BAA-2573 (bMx 0502240)1.5E+043x
JMI 125361.5E+043x

Table 10: Enterococcus faecalis Isolates Tested

Table 11: Enterococcus faecium Isolates Tested

OrganismIsolate ID (Strain)Test ConcentrationResult
(copies/mL)xLoD
EnterococcusfaeciumATCC 7002211.2E+031x
ATCC 19434 (Grumbach serotype 11)3.6E+033xEnterococcusfaecium
ATCC 27270 (X3)3.6E+033x
ATCC 51858 (Vancomycin-dependent #4)3.6E+033xDetected
ATCC BAA-23183.6E+033x
JMI 4753.6E+033x

Table 12: Finegoldia magna Isolates Tested

OrganismIsolate ID (Strain)Test Concentration(copies/mL) X LoDReported Result
FinegoldiamagnaATCC 15794 (2974)3.1E+05 1xFinegoldia magnaDetected
ATCC 14955 (BU)9.3E+05 3x
ATCC 29328 (WAL2508)9.3E+05 3x
ATCC 53516 (312)9.3E+05 3x
DSM 20362 (168)9.3E+05 3x
GRE 15560069.3E+05 3x

Table 13: Parvimonas micra Isolates Tested

OrganismIsolate ID (Strain)Test Concentration
(copies/mLxLoDResult
ParvimonasmicraATCC 33270 (3024A)4.8E+03IxParvimonasmicraDetected
CCUG 568091.4E+043x
CCUG 570491.4E+043x
GRE 16511631.4E+043x
GRE 17570981.4E+043x

Table 14: Peptoniphilus spp. Isolates Tested

SpeciesIsolate ID (Strain)Test ConcentrationResult
(copies/mL)xLoD
PeptoniphilusassacharolyticusATCC 14963 (BAI, UW 228)4.0E+041x
Peptoniphilus alleniaATCC BAA-1643 (WAL 1768N)1.2E+053x
PeptoniphilusgorbachiiATCC BAA-1383 (WAL 10418)]1.2E+053xPeptoniphilusDetected
PeptoniphilusgrossensisaDSM 25475 (ph5)1.2E+053x
Peptoniphilus hareiATCC BAA-601 (SBH 432)1.2E+053x

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DSM 10021 (SBH 064)1.2E+053x
GRE 15540701.2E+053x
PeptoniphilusindolicusATCC 29427 (R13)1.2E+053x
GRE 15560241.2E+053x
PeptoniphiluslacrimalisATCC 51171 (GIFU 7667)1.2E+053x
CCUG 471461.2E+053x
PeptoniphilussenegalensisDSM 25694 (JC140)1.2E+053x
PeptoniphilustyrrelliaebCCUG 59621 (RMA 19911)8.0E+08CFU/mLHigh
PeptoniphiluskoenoeneniaebATCC BAA-1638 (WAL 20371)8.0E+08CFU/mLHigh
Peptoniphilus coxiiATCC BAA-2106 (RMA 16757)8.0E+08CFU/mLHigh
PeptoniphilusduerdeniiATCC BAA-1640 (WAL1998L)8.0E+08CFU/mLHighPeptoniphilusNot Detected
Peptoniphilus ivoriiATCC BAA-602 (SBH 093)8.0E+08CFU/mLHigh
PeptoniphilusmassiliensisaATCC BAA-1641 (WAL 18041)8.0E+08CFU/mLHigh
Peptoniphilus olseniiATCC BAA-1384 (WAL 12922)8.0E+08CFU/mLHigh
Peptoniphilus porciIn silico prediction (not tested)
Other PeptoniphilusspeciesUnknown Reactivity(no sequences/not tested)

ªIsolates tested were characterized by the culture collection as P. allenii, P. grossensis, and P. massiliensis, though none are currently validly published Peptoniphilus species.

b Peptoniphilus koenoeneniae and Peptoniphilus tyrelliae were detected at a concentration >100x LoD.

Table 15: Peptostreptococcus anaerobius Isolates Tested
---------------------------------------------------------
OrganismIsolate ID (Strain)Test ConcentrationResult
(copies/mL)xLoD
PeptostreptococcusanaerobiusACC 27337 (A prevot 4372)1.6E+041x
ATCC 49031 (MSHD)4.8E+043xPeptostreptococcusanaerobiusDetected
CCUG 379924.8E+043x
CCUG 383794.8E+043x
CCUG 46594 (GIFU 7800)4.8E+043x

Table 16: Staphylococcus aureus Isolates Tested

OrganismIsolate ID (Strain)TestConcentrationResult
(copies/mL)xLoD
StaphylococcusaureusATCC BAA-2313 (M10/0148)4.2E+031xS. aureus Detected
ATCC BAA-2312 (M10/0061)1.3E+043x
ATCC BAA-1700 (HFH-33798)1.3E+043x
ATCC BAA-1707 (MW2)1.3E+043x
ATCC BAA-1749 (96:308)1.3E+043x
ATCC BAA-1759 (N7129)1.3E+043x
ATCC BAA-1764 (7031)1.3E+043x

{23}------------------------------------------------

ATCC BAA-1765 (102-04)1.3E+043x
NARSA NRS662 (CO-34)1.3E+043x
NARSA NRS683 (GA-298)1.3E+043x
NARSA NRS689 (GA-442)1.3E+043x
NARSA NRS691 (GA-62)1.3E+043x
NARSA NRS701 (MN-082)1.3E+043x
NARSA NRS705 (NY-12)1.3E+043x
NARSA NRS707 (NY-155)1.3E+043x
NARSA NRS745 (CA-629)1.3E+043x
BEI NR-46081 (HIP12899)1.3E+043x
GRE 08600421.3E+043x
NARSA NRS648 (CA-347)1.3E+043x
SHSC Sunl1.3E+043x
ATCC 4330 (F-182)4.2E+031x
ATCC 126001.3E+043x
ATCC 141541.3E+043x
Staphylococcusaureus ssp.aureusATCC 25923 (Seattle 1945)1.3E+043x
ATCC BAA-391.3E+043x
ATCC BAA-42 (HDE288)1.3E+043x
ATCC BAA-44 (HPV107)1.3E+043x
ATCC BAA-1717 (TCH1516)1.3E+043x
ATCC BAA-1720 (MRSA252)1.3E+043x
Staphylococcusaureus ssp.anaerobiusATCC 35844 (MVF-7)1.3E+043x

Table 17: Staphylococcus lugdunensis Isolates Tested

OrganismIsolate ID (Strain)Test ConcentrationResult
(copies/mL)xLoD
StaphylococcuslugdunensisATCC 43809 (N860297)2.6E+031x
ATCC 49576 (LRA 260.05.09)7.8E+033x
ATCC 700582 (7829)7.8E+033xS. aureus
NCTC 7990 (Kelly)7.8E+033xDetected
ATCC 700328 (6733)7.8E+033x

Table 18: Isolates Streptococcus spp. Isolates Tested

OrganismIsolate ID (Strain)Test ConcentrationResult
(copies/mL)xLoD
Streptococcus agalactiaeSee S. agalactiae table
Streptococcus dysgalactiae ssp.dysgalactiaeATCC 43078 (NCDO 2023)7.5E+053xStreptococcus spp.Detected
Streptococcus dysgalactiae ssp.equisimilisATCC 8543 (LRA 06 11 76)7.5E+053x
Streptococcus bovis/equinusATCC 33317 (Pearl 11 NCDO 597)ATCC 9812 (H 12 B)7.5E+053x
Streptococcus gallolyticus ssp.gallolyticusDSM 168317.5E+053x

in Physics Company T

{24}------------------------------------------------

Streptococcus gallolyticus ssp.pasteurianusATCC 7000338 (RG)7.5E+053x
Streptococcus infantarius ssp.infantariusATCC BAA-102 (NCIMB 700599)7.5E+053x
Streptococcus anginosusATCC 33397 (Havill III R. LancefieldF68A)7.5E+053x
Streptococcus constellatusATCC 27513 (VPI 7712)7.5E+053x
Streptococcus intermediusATCC 27335 (VPI 3372A)7.5E+053x
Streptococcus salivariusATCC 13419 (C699 [S30D])7.5E+053x
Streptococcus salivarius ssp.thermophilusATCC 19258 (NCDO 573)7.5E+053x
Streptococcus vestibularisATCC 49124 (MM1)7.5E+053x
Streptococcus australisATCC 700641 (AI-1)7.5E+053x
Streptococcus sobrinusaATCC 33478 (SL1)7.5E+053x
Streptococcus mutansATCC25175 (IFO 13955)2.50E+051x
Streptococcus gordoniiATCC 10558 (SK3)7.5E+053x
Streptococcus mitisATCC 49456 (NS 51: SK142)7.5E+053x
Streptococcus oralisaATCC 35037 (PB182; LVG/1)7.5E+053x
Streptococcus oralis ssp. tigurinusDSM 24864 (AZ 3a)7.5E+053x
Streptococcus pneumoniaeSee S. pneumoniae table
Streptococcus pseudopneumoniaeATCC BAA-960 (CDC-SS-1757)7.5E+053x
Streptococcus pyogenesSee S. pyogenes table
Streptococcus sanguinisATCC 10556 (DSS-10)7.5E+053x
Streptococcus cristatusATCC 51100 (CR311)7.5E+053x
Streptococcus parasanguinisATCC 15912 (SS 898)7.5E+053x
Streptococcus perorisATCC 700780 (GTC 848)7.5E+053x
Streptococcus equi ssp. equibATCC 33398 (C15)7.5E+053x
Streptococcus equi ssp. zooepidemicusbATCC 43079 (NCDO 1358)7.5E+053x
Streptococcus suisaATCC 43765 (735)7.5E+053x
Streptococcus sinensisDSM 14990 (HKU4)7.5E+053x

4In silico analysis identified sequence variation that is predicted to impact reactivity in approximately 8% of S. oralis sequences evaluated and in approximately 2% of the S. sobrinus, S suis, and S. uberis sequences evaluated. b Although the two isolates of S. equi tested were detected near LoD, in silico analysis predicts some impairment of detection for most (97%) S. equi sequences.

OrganismResult
Streptococcus acidominimus
Streptococcus azizii
Streptococcus bovimastitidisStreptococcusspp. Detected
Streptococcus caballi
Streptococcus canis
Streptococcus castoreus
Streptococcus criceti
Streptococcus cuniculi
Streptococcus devriesei
Streptococcus didelphis
Streptococcus downei
Streptococcus ferus
Streptococcus halotolerans
Streptococcus henryi
Streptococcus himalayensis
Streptococcus hongkongensis
Streptococcus hyointestinalis
Streptococcus ictaluri
Streptococcus infantis
Streptococcus iniae
Streptococcus intermedius
Streptococcus lactarius
Streptococcus lutetiensis
Streptococcus macacae
Streptococcus marimammalium
Streptococcus marmotae
Streptococcus massiliensis
Streptococcus merionis
Streptococcus milleri
Streptococcus minora
Streptococcus orisasini
Streptococcus orisratti
Streptococcus ovis
Streptococcus parasuis
Streptococcus parauberis
Streptococcus penaeicida
Streptococcus phocae
Streptococcus pluranimalium
Streptococcus plurextorum
Streptococcus porci
Streptococcus porcinus
Streptococcus pseudoporcinus
Streptococcus ratti
Streptococcus respiraculi
Streptococcus ruminantium
Streptococcus thoraltensis
Streptococcus troglodytae
Streptococcus uberisb
Streptococcus urinalis
Streptococcus entericus
Streptococcus halitosis
Streptococcus hyovaginalis
Streptococcus pantholopis

{25}------------------------------------------------

{26}------------------------------------------------

31n silico analysis identified 1/2 (50%) S. minor sequence variation that is predicted to impact reactivity

bIn silico analysis identified sequence variation that is predicted to impact reactivity in approximately 8% of S. oralis sequences evaluated and in approximately 2% of the S. sobrinus, S suis, and S. uberis sequences evaluated.

OrganismIsolate ID (Strain)Test ConcentrationResult
(copies/mL)xLoD
StreptococcusagalactiaeATCC 13813 (G19)1.9E+041xStreptococcusagalactiae Detected
ATCC 12403 [D136C(3)]5.7E+043x
ATCC BAA-2669 (5030-08)5.7E+043x
CI 24605.7E+043x
ATCC BAA-611 (2603 V/R)5.7E+043x
ATCC 12386 (090R)5.7E+043x

Table 20: Streptococcus agalactiae Isolates Tested

Table 21: Streptococcus pneumoniae Isolates Tested

OrganismIsolate ID (Strain)Test ConcentrationResult
(copies/mL)xLoD
StreptococcuspneumoniaeATCC 6303 (CIP 104225)5.3E+021xStreptococcuspneumoniaeDetected
ATCC 33400 (SV1)1.6E+033x
ATCC 700672 (VH14)1.6E+033x
ATCC 700673 (19A-6 [HUN663])1.6E+033x
ATCC BAA-1409 (62076)1.6E+033x
ATCC BAA-341 (SPN1439-106)1.6E+033x

Table 22: Streptococcus pyogenes Isolates Tested

OrganismIsolate ID (Strain)Test ConcentrationResult
(copies/mL)xLoD
Streptococcus pyogenesATCC 19615 (Bruno)8.9E+031xStreptococcuspyogenes Detected
ATCC 49399 (QC A62)2.7E+043x
ATCC 12344 (T1)2.7E+043x
ATCC 12348 (S43)2.7E+043x
ATCC 700294 (SF370;M1 GAS)2.7E+043x
ATCC BAA-947 (MGAS 5005)2.7E+043x
ATCC 12384 (C203)2.7E+043x
P-03-0543 804 ISOª8.9E+05100xStreptococcuspyogenesNot Detected

3Isolate was from a clinical specimen; a deletion in the gene target was identified that prevents amplification/detection

Table 23: Bacteroides fragilis Isolates Tested

OrganismIsolate ID (Strain)Test ConcentrationResult
(copies/mL)xLoD

{27}------------------------------------------------

Bacteroides fragilisATCC 25285 (VPI 2553)1.1E+031xBacteroides fragilisDetected
ATCC BAA-2283 (2-1-56 FAA)3.3E+033x
ATCC 29768 (12256/P8)3.3E+033x
ATCC 29771 (2044 [CDC 1261; M-488])3.3E+033x
ATCC 43937 (F1355 [WAL 78-189A])3.3E+033x

Table 24: Citrobacter Isolates Tested

OrganismIsolate ID (Strain)Test Concentration(copies/mL) xLoDResult
Citrobacter braakiiATCC 51113 (CDC 80-58)1.4E+043xCitrobacterDetected
Citrobacter europaeusGRE 19530161.4E+043x
Citrobacter freundiiATCC 8090 (ATCC 13316)4.7E+031x
ATCC 43864 (LRA 117.03.76)1.4E+043x
AR Bank #01161.4E+043x
AR Bank #01571.4E+043x
GRE 10621771.4E+043x
Citrobacter koseriATCC 27156 (CDC 3613-63)1.4E+043xCitrobacterDetected
ATCC 27028 (14804)1.4E+043x
Citrobacter murliniaeATCC 51118 (CDC 2970-59)1.4E+043xCitrobacterDetected
Citrobacter werkmaniiaaATCC 51114 (CDC 0876-58)1.4E+043xCitrobacterDetected
Citrobacter youngaeATCC 29935 (460-61)1.4E+043xCitrobacterDetected
Citrobacter amalonaticusATCC 25405 (9823)8.0E+08HighCitrobacterNotDetected
Citrobacter farmeriATCC 51112 (CDC 2991-81)8.0E+08High
Citrobacter gilleniiATCC 51117 (CDC 4693-86)8.0E+08High
Citrobacter rodentiumGRE 16540458.0E+08High
Citrobacter sedlakiiATCC 514948.0E+08High
Citrobacter cronaeUnknown Reactivity(no sequence/not tested)

ª In silico analysis identified sequence variation that is predicted to impact reactivity in 4/6 (50%) C. werkmanii sequences

Table 25. Citrobacter Reactivity Predicted (in silico)

OrganismResult
Citrobacter pasteuriiCitrobacter
Citrobacter portucalensisDetected

Table 26: Enterobacter cloacae complex Isolates Tested

OrganismIsolate ID (Strain)Test ConcentrationResult
(copies/mL)xLoD
Enterobacter asburiaeaGRE 17530063.9E+053xEnterobactercloacaeDetected
ATCC 35953 (CDC 1497-78)1.3E+07100xEnterobactercloacae

{28}------------------------------------------------

Not Detected
Enterobacter cloacaeaAR Bank #01541.3E+051x
Enterobacter cloacae ssp.cloacaeaNCTC 134643.9E+053x
ATCC 13047 (CDC 442-68)3.9E+053x
ATCC 222 (CDC 435)3.9E+053x
Enterobacter cloacae ssp.dissolvensaATCC 23373D-5 gDNA (ICPB ED105)3.9E+053x
Enterobacter hormaecheiATCC BAA-20823.9E+053x
ATCC 7003233.9E+053x
Enterobacter hormaechei ssp.hormaecheiATCC 491621.3E+07100xEnterobactercloacaeDetected
Enterobacter hormaechei ssp.ohareaCCUG 53905T3.9E+053x
Enterobacter hormaechei ssp.steigerwaltiiCCUG 53904T3.9E+053x
Enterobacter hormaechei ssp.xiangfangensisDSM 463483.9E+053x
Enterobacter kobeiGRE 17530043.9E+053x
Enterobacter ludwigiiaDSM 16688 (EN-119)3.9E+053x
CCUG 230503.9E+053x
Enterobacter moriDSM 26271 (R18-2)3.9E+053x
Enterobacter roggenkampiiDSM 16690 (EN-117)3.9E+053x

4 Enterobacter asburiae isolate ATCC 35953 has sequence variation under assay primers that impairs detection at 100x LoD and lower. A similar impact on reactivity is predicted for 6/76 (7.9%) Enterobacter asburiae sequences evaluated and impaired amplification and detection is also predicted for a subset of E. cloacae (8/516, 1.6%) and E. ludwigii (2/25, 8.0%) sequences.

bE. hormaechei ssp. hormaechei isolate ATCC 49162 has sequence variation under assay primers that impairs detection at 10x LoD and lower. A similar impact on reactivity is predicted for 10/685 (1.4%) E. hormacchei and 1/8 (12.5%) E. mori sequences evaluated.

OrganismIsolate ID (Strain)Test ConcentrationResult
(copies/mL)xLoD
E. coliCDC AR Bank #01506.0E+031xE. coliDetected
CDC AR Bank #01371.8E+043xE. coliDetected
CDC AR Bank #01621.8E+043x
CDC AR Bank #00861.8E+043x
CDC AR Bank #00611.8E+043x
ATCC 11775 (9001 U 5/41)1.8E+043x
GRE 12560181.8E+043x
Zeptometrix 0801905 (Z136)1.8E+043x

Table 27: E. coli Isolates Tested

Table 28: Haemophilus influenzae Isolates Tested

OrganismSerotypeBiotypeIsolate ID (Strain)TestConcentrationResult
(copies/mL)xLoD
HaemophilusinfluenzaebIATCC 10211 (AMC 36-A-1 [572])6.9E+021xHaemophilusinfluenzae
HaemophilusinfluenzaeaATCC 9006 (AMC 36-A-3 [610, PCM 2436])2.1E+033xHaemophilusinfluenzae

{29}------------------------------------------------

cATCC 49699 (C 9007)2.1E+033xDetected
d-ATCC 9008 (AMC 36-A-6 [611])2.1E+033x
eATCC 8142 (595 Murray Biotype IV: AMC 36-A-7 [595])2.1E+033x
fATCC 700223 (GA 1264)2.1E+033x
Non-typeableIIATCC 33391 (680 Biotype II)2.1E+033x
VATCC 51997 (INT 1 Biotype V)2.1E+033x
Unknown-BF Clinical Isolate 006433-PBC-1-0029-ISO-1a7.5E+09 CFU/mLHighHaemophilus influenzae Not Detected

4Isolate was obtained from a clinical specimen; a deletion in the gene target was identified that prevents amplification/detection.

Table 29: Kingella kingae Isolates Tested

OrganismIsolate ID (Strain)TestConcentrationResult
(copies/mL)xLoD
Kingella kingaeATCC 23330 (4177/66)3.4E+031x
ATCC 233311.0E+043xKingella Kingae
CCUG 635691.0E+043x
CCUG 50167A1.0E+043xDetected
CCUG 448011.0E+043x

Table 30: Klebsiella aerogenes Isolates Tested

OrganismIsolate ID (Strain)TestConcentration(copies/mL)Result
Klebsiella aerogenesAR Bank #00747.5E+031xKingella Kingae
Klebsiella aerogenesAR Bank #00622.3E+043xDetected
Klebsiella aerogenesAR Bank #01612.3E+043xDetected
Klebsiella aerogenesATCC 13048 (NCDC 819-56)2.3E+043xDetected
Klebsiella aerogenesATCC 29751 (MULB-250)a7.5E+05100xKingella KingaeNot Detected
Klebsiella aerogenesGRE 12540662.3E+043xKingella KingaeDetected

3Klebsiella aerogenes isolate ATCC 29751 has sequence variation under the assay primers that impairs detection at 100x LoD and lower. A similar impact on reactivity is predicted for 9/193 (4.7%) Klebsiella aerogenes sequences evaluated.

Table 31: Klebsiella pneumoniae group Isolates Tested

OrganismIsolate ID (Strain)Test ConcentrationResult
(copies/mL)xLoD
Klebsiella pneumoniaeAR Bank #00971.6E+041xKlebsiellapneumoniaeDetected
AR Bank #00794.8E+043x
AR Bank #01074.8E+043x
AR Bank #00754.8E+043x

{30}------------------------------------------------

JMI 7664.8E+043x
AR Bank #00404.8E+043x
AR Bank #00683.1E+041.9x
AR Bank #00804.5E+042.5x
Klebsiella pneumoniae ssp.ATCC 112964.8E+043x
ozaenaeAR Bank #00514.8E+043x
Klebsiella pneumoniae ssp.pneumoniaeATCC 138834.8E+043x
Klebsiella pneumoniae ssp.rhinosclermatisATCC 13884 (R-70)4.8E+043x
Klebsiella quasipneumoniaeDSM 282114.8E+043x
Klebsiella quasipneumoniaessp. similipneumoniaeDSM 282124.8E+043x
Klebsiella variicolaATCC BAA-830 (F2R9)4.8E+043x

Table 32: Morganella morganii Isolates Tested

OrganismIsolate ID (Strain)TestConcentrationResult
(copies/mL)xLoD
Morganella morganiiAR Bank #00576.6E+033x
Morganella morganii ssp.ATCC 25830 (M11)2.2E+031xMorganella
morganiiATCC 33791 (Potter)6.6E+033xmorganii
Morganella morganii ssp.ATCC 49948 (CDC 9103-85)6.6E+033xDetected
siboniiATCC51207 (CDC 8246-91)6.6E+033x

Table 33: Neisseria gonorrhoeae Isolates Tested

OrganismIsolate ID (Strain)TestConcentrationResult
(copies/mL)xLoD
Neisseria gonorrhoeaeATCC 19424 (B 5025)2.2E+031xNeisseriagonorrhoeaeDetected
NCTC 6820 (Gono 4)6.6E+033x
ATCC 19088 (CH-6)6.6E+033x
ATCC 700825 (FA1090)6.6E+033x
Zeptometrix 0801482 (Z017)6.6E+033x
NCTC 13817a8.0E+08CFU/mLHighNeisseriagonorrhoeaeNot Detected

41solate (also described as WHO-U strain) carries an atypical variant of the gene target (suspected horizontal transfer with homologous gene in N. meningitidis) that is not amplified/detected by the assay.

Table 34: Proteus spp.ª Isolates Tested

OrganismIsolate ID (Strain)Test ConcentrationResult
(copies/mL)xLoD
Proteus salimentorumIn silico prediction (not tested)
Proteus columbaeIn silico prediction (not tested)
Proteus hauseriATCC 13315 (Lehmann)1.6E+043xProteus spp.Detected
Proteus hauseriATCC 700826 (CDC 1732-80)1.6E+043x
Proteus mirabilisATCC 35659 (LRA 08 01 73)5.2E+031x

{31}------------------------------------------------

ATCC 29906 (CDC PR 14)1.6E+043x
AR Bank #01565.2E+0410x
AR Bank #01595.2E+0410x
GRE12540531.6E+043x
Proteus penneriATCC 33519 (CDC 1808-73)1.6E+043x
Proteus penneriATCC 35197 (CDC 1655-67)1.6E+043x
Proteus terraeDSM 29910 (N5/687)1.6E+043x
Proteus terrae ssp. cibariusDSM 100173 (JS9)1.6E+043x
Proteus vulgarisATCC 29905 (CDC PR1)1.6E+043x
Proteus vulgarisATCC 27973 (CDC 1787-64-SC1)1.6E+043x

aThe Proteus genus now also includes the species P. cibi and P. faecis. Reactivity with these species has not been evaluated.

Table 35: Pseudomonas aeruginosa Isolates Tested

OrganismIsolate ID (Strain)TestConcentrationResult
(copies/mL)xLoD
Pseudomonas aeruginosaCDC AR Bank #00921.30E+041xPseudomonasaeruginosaDetected
ATCC 27853 (Boston 41501)3.9E+043x
CDC AR Bank #00903.9E+043x
CDC AR Bank #01003.9E+043x
CDC AR Bank #00543.9E+043x
CUSM PS283.9E+043x
NCTC 134373.9E+043x
CDC AR Bank #01113.9E+043x
CDC AR Bank #00643.9E+043x
CDC AR Bank #01031.3E+0510x
ATCC 9027a1.3E+06100x
ATCC 25619b8.0E+08CFU/mLHighPseudomonasaeruginosaNot Detected

ª Pseudomonas aeruginosa isolate ATCC 9027 has sequence variation under assay primers that impairs detection at 10× LoD and lower. Detection was observed in all replicates at 100× LoD (~1.3E+06 copies/mL). Similar impacts on reactivity are predicted for approximately 50/1524 (3.3%) P. aeruginosa sequences evaluated.

b Pseudomonas aeruginosa isolate ATCC 25619 has sequence variation under assay primers that prevents amplification and detection.

Table 36: Salmonella spp. Isolates Tested
OrganismIsolate ID (Strain)SerovarTest ConcentrationResult
(copies/mL)xLoD
Salmonella bongoriSGSC 3100/SarC11 (RKS3041)-4.8E+033x
Salmonella bongoriNCTC 10946 (BR 1859 66:z41:-)Brookfield4.8E+033x
Salmonella bongoriATCC 43975 (1224.72)-4.8E+033x
Salmonella enterica ssp.arizonaeATCC 13314 (DC5.CIP 8230)-4.8E+033xSalmonella spp.Detected
Salmonella enterica ssp.diarizonaeSGSC 3069 (RKS2979; SarC8)-4.8E+033x
Salmonella enterica ssp.entericaCDC AR Bank#0407Concord1.6E+031x
Salmonella enterica ssp.entericaATCC 700720 (LT2)Typhimirium4.8E+033x

{32}------------------------------------------------

ATCC BAA-708Enteritidis$4.8E+03$3x
SGSC 2210 (SARA30)Heidelberg$4.8E+03$3x
ATCC BAA-710 (G4639)Montevideo$4.8E+03$3x
CDC AR Bank #0127Senftenberg$4.8E+03$3x
ATCC 700931D-5 (Ty2)Typhi$4.8E+03$3x
Salmonella enterica ssp.houtenaeSGSC 3074 (RKS3015)-$4.8E+03$3x
Salmonella enterica ssp. indicaSGSC 3116 (RKS2995)-$1.6E+04$10x
Salmonella enterica ssp.salamaeSGSC 3047 (RKS2993)-$4.8E+03$3x

Table 37: Serratia marcescens Isolates Tested

OrganismIsolate ID (Strain)Test ConcentrationResult
(copies/mL)xLoD
Serratia marcescensAPI 14111373.3E+043xSerratiamarcescens
API 15123933.3E+043x
CDC AR Bank #00913.3E+043x
JMI 6973.3E+043x
Serratia marcescens ssp.marcescensATCC 13880 (BS 303)1.1E+041xDetected
Serratia marcescens ssp.sakuensisATCC BAA-885 (KRED)3.3E+043x

Table 38: Candida spp. Isolates Tested

OrganismIsolate ID (Strain)Test ConcentrationResult
(copies/mL)xLoD
Candida albicansSee Table 41
Candida dubliniensisATCC MYA-646 (CBS 7987)3.0E+033x
ATCC MYA-578 (H12)3.0E+033x
Candida glabrataATCC 15545 (NRRL YB-4025)3.0E+033x
ATCC 2001 (CBS 138)3.0E+033x
CI-9533.0E+033xCandida spp.Detected
Candida krusei(Issatchenkia orientalis)ATCC 62581.0E+031x
ATCC 28870 (CBS 2052)3.0E+033x
Candida orthopsilosisATCC 96139 (MCO457)3.0E+033x
ATCC 28475 (CBS 2915)3.0E+033x
Candida parapsilosisATCC 22019 (CBS 604)3.0E+033x
ATCC 7503.0E+033x
Candida tropicalisATCC 66029 (AmMS 227)3.0E+033x
Candida metapsilosisATCC96143 (MCO429)1.0E+0410x
Candida sojaeNRRL Y-179091.0E+0410x
Candida sphaericaGRE 19510011.0E+05100x
Candida inconspicuaATCC 16783 (CBS 180)1.0E+05100x
AR Bank #03811.0E+05100x
Candida aurisAR Bank #03851.0E+05100x
GRE 17560048.0E+068000xCandida spp.Detected

{33}------------------------------------------------

Candida lusitaniaeATCC 42720 (45090)1.0E+05100xCandida spp.Not Detected
Candida nivariensisATCC 34449 (IFO 1019)8.0E+068000x
Candida IntermediaCCUG 564328.0E+08795,000x
Candida kefyrATCC 144398.0E+068000x
Candida norvegensisATCC 2040938.0E+068000xCandida spp.
Candida utilisGRE 08560558.0E+068000xDetected
Candida haemoluniiaATCC 220238.0E+068000x
Candida viswanathiiAR Bank #03933.9E+08389,000x
Candida guilliermondiiATCC 229814.3E+08430,000x
Candida ciferriiATCC 38290 (Tu 62304-2)5.7E+08570,000x
Candida colliculosaATCC 584433 (CBS 5295)8.0E+068000x
Candida holmiiATCC 10662 (NRRL Y-866)8.0E+068000x
Candida lipolyticaDSM 706278.0E+068000xCandida spp.Not Detected
Candida rugosaATCC 18944 (NRRL YB-423-12)8.0E+068000xCandida spp.Not Detected
Candida thermophilaATCC 10571 (NRRL Y-1496)8.0E+068000x
Candida famataATCC 584018.0E+068000x
ATCC 4144 (D.R. 1658 No. 14)8.9E+08893,000x

aSpecies may be detected at high concentration (>100x LoD).

Table 39: Candida spp. Predicted Reactivity (In silico)

OrganismResult
Candida duobushaemulonis
Candida fabianii(Cyberlindner fabianii)Candida spp.Not Detected
Candida fermentati(Myerozyma carribica)
Candida jadinii
Candida pelliculosa(Wickerhamomyces anomalus)

Table 40: Candida albicans Isolates Tested

OrganismIsolate ID (Strain)TestConcentrationResult
(copies/mL)xLoD
Candida albicansATCC 90028 (NCCLS 11)$5.0E+02$1x
Candida albicansATCC 10231 (3147)$1.5E+03$3xCandida albicans
Candida albicansATCC 11006$1.5E+03$3x
Candida albicansATCC 14053 (NIH 3172)$1.5E+03$3xDetected
Candida albicansATCC 22972 (M 97)$1.5E+03$3x

The following tables describe the reactivity of the AMR genes assays with different AMR gene types in various host bacteria. Results are shown for the isolates tested as well as

{34}------------------------------------------------

predictions of reactivity with untested AMR gene types based on in silico analysis of sequences retrieved from public databases.

CTX-M TypeOrganismIsolate IDTest concentration(copies/mL)Result
CTX-M-3E. coliNCTC 134524.1E+05
CTX-M-3S. flexneriAR Bank #04214.5E+03
CTX-M-14K. pneumoniaeAR-Bank #0794.5E+03
CTX-M-14C. freundiiGRE 10621774.5E+03
CTX-M-15K. pneumoniaeAR Bank #00754.5E+03
CTX-M-15K. pneumoniaeAR-Bank #00404.5E+03
CTX-M-15M. morganiiAR-Bank #00574.5E+03
CTX-M-15S. enterica ssp. entericaAR-Bank #04071.5E+03CTX-M Detected
CTX-M-22P. mirabilisGRE 12540534.5E+03
CTX-M-55E. coliAR Bank #03464.5E+03
CTX-M-2K. pneumoniaeAR Bank #01074.5E+03
CTX-M-124K. ascorbateaAR Bank #01444.5E+03
CTX-M-8E. coliNCTC 134634.5E+03
CTX-M-9E. cloacaeNCTC 134644.5E+03
CTX-M-25K. pneumoniaeNCTC 134654.5E+03
In Silico Reactivity Predictionsb
DetectedNot DetectedUnknown Reactivity
CTX-M-1 – CTX-M-69CTX-M-71 – CTX-M-73CTX-M-74CTX-M-70CTX-M-140
CTX-M-76 – CTX-M-112CTX-M-114 – CTX-M-117CTX-M-75CTX-M-119CTX-M-143
CTX-M-121 – CTX-M-127CTX-M-129 – CTX-M-132CTX-M-113CTX-M-120CTX-M-145
CTX-M-134CTX-M-136 – CTX-M-139CTX-M-151CTX-M-128CTX-M-149
CTX-M-141 – CTX-M-142CTX-M-133CTX-M-153
CTX-M-144CTX-M-135CTX-M-154
CTX-M-146 – CTX-M-148
CTX-M-150
CTX-M-152
CTX-M-155 – CTX-M-229

Table 41: Isolates Tested Containing the blaCTX-M gene and In Silico Predicted Reactivity for CTX-M Types

31solate was tested only to evaluate CTX-M assay reactivity, the species is not detected by the panel.

bA subset of CTX-M sequences (<1%) of various types have sequence variation under the assay primers that may impact detection.

Table 42: Isolates Tested Containing the blaIMP gene and In Silico Predicted Reactivity for IMP Types

IMP TypeOrganismIsolate IDTest concentration(copies/mL)Result
IMP-1P. aeruginosaAR Bank #01033.9 E+03IMP Detected
IMP-4K. aerogenesAR-Bank #01613.9 E+03IMP Detected

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IMP TypeOrganismIsolate IDTest concentration(copies/mL)Result
IMP-8K. pneumoniaeAR-Bank #00803.9 E+03
IMP-8E. cloacaeAR Bank #05023.9 E+03
IMP-8K. pneumoniaeGRE 10620843.9 E+03
IMP-13K. pneumoniaeZeptometrix 08019043.9 E+03
IMP-14P. aeruginosaAR Bank #00921.3 E+03
In Silico Reactivity Predictions
DetectedaNot DetectedUnknown Reactivity
IMP-1 – IMP-30IMP-31IMP-36
IMP-51 – IMP-56IMP-35IMP-47
IMP-32 – IMP-34IMP-46IMP-50
IMP-58 – IMP-64IMP-57
IMP-37 – IMP-45IMP-65
IMP-66 – IMP-84
IMP-48 – IMP-49

4 pproximately 10% of IMP sequences of various types have mismatches to the assay primer(s) that may impact detection.

Table 43: Isolates Tested Containing the blaKPC gene and In Silico Predicted Reactivity
for KPC Typesa
KPC TypeOrganismIsolate IDTest concentration(copies/mL)Result
KPC-2C. freundiiAR Bank #01161.1 E+03
KPC-2P. aeruginosaCUDM PS281.1 E+03
KPC-2S. marcescensJMI 6971.1 E+03
KPC-3K. pneumoniaeAR Bank #00973.6 E+02KPC Detected
KPC-3E. coliAR Bank #00611.1 E+03
KPC-4Klebsiella pneumoniaeJMI 6971.1 E+03
KPC-5P. aeruginosaAR Bank #00901.1 E+03
KPC-6P. mirabilisAR Bank #01551.1 E+03
KPC-11K. pneumoniaeAR Bank #05251.1 E+03
UnknownE. hormaecheiBAA-20821.1 E+03

a In silico analyses predict reactivity with all KPC types (KPC-1 - KPC-46).

Table 44: Isolates Tested Containing mecA/C" and MREJ (MRSA) sequences and In Silico Predicted Reactivity for MREJ Types

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OrganismIsolate ID (Strain)SCCmec Type/MREJ TypeTest concentration(copies/mL)Result
Methicillin-resistantStaphylococcusaureus(MRSA)NARSA NRS705 (NY-12)SCCmec Type II1.10E+04mecA/C andMREJ(MRSA)Detected
NARSA NRS701 (MN-082)1.3E+04
ATCC BAA-1717(TCH1516)1.3E+04
NARSA NRS683 (GA-298)1.3E+04
NARSA NRS662 (CO-34)SCCmec Type IV1.3E+04
NARSA NRS707 (NY-155)1.3E+04
ATCC BAA-1707 (MW2)1.3E+04
NARSA NRS691 (GA-62)1.3E+04
NARSA NRS648 (CA-347)SCCmec Type II or IV1.3E+04
NARSA NRS689 (GA-442)1.3E+04
ATCC BAA-1700 (HFH-30137)SCCmec Type IV6.0E+03
BEI NR-46081 (HIP12899)9.7E+03
ATCC 43300 (F182Kansas)SCCmec Type II4.20E+03
ATCC BAA-17201.3E+04
NARSA NRS745 (CA-629)SCCmec Type IV or V1.10E+04
ATCC BAA-2312SCCmec Type XI1.3E+04
ATCC BAA-23134.2E+03
ATCC BAA-38MREJ Type i1.10E+04
NARSA NRS6861.3E+04
ATCC BAA-44MREJ Type ii1.3E+04
ATCC BAA-421.3E+04
ATCC BAA-39MREJ Type iii1.3E+04
ATCC BAA-40MREJ Type iv1.3E+04
GRE 10622641.3E+04
ATCC BAA-2096MREJ Type v1.3E+04
GRE 1055015MREJ Type vi1.3E+04
GRE 0860042MREJ Type vii1.3E+04
GRE 1052034MREJ Type ix4.20E+04
GRE 1151100MREJ Type xi1.3E+04
GRE 0960006MREJ Type xii1.3E+04
GRE 1055017MREJ Type xiii1.3E+04
GRE 0759163MREJ Type xiv1.3E+04
GRE 1057114MREJ Type xvii1.3E+04
Methicillin-sensitiveStaphylococcusaureus(MSSA)GRE 1062373MREJ Type xvb1.20E+04mecA/C andMREJ(MRSA)
GRE 1062292MREJ Type xviiii8.00E+08 CFU/mLNot Detected
ATCC BAA-2421cSCCmec Type IIc1.3E+04mecA/C andMREJ(MRSA)Detected
Rennes 1060728 DACEmpty SCCmec cassette4.2E+05mecA/C and

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OrganismIsolate ID (Strain)SCCmec Type/MREJ TypeTest concentration(copies/mL)Result
GRE 1062519MREJ Type xixd8.9E+09 CFU/mLMREJ(MRSA)Not Detected
In Silico Reactivity Predictions for MREJ Types
DetectedeNot DetectedUnknownReactivity
MREJ Type iMREJ Type viiMREJ Type xviMREJ Type xvbMREJ Type viii
MREJ Type iiMREJ Type ixMREJ Type xviiMREJ Type xviiiMREJ Type x
MREJ Type iiiMREJ Type xiMREJ Type xxiMREJ Type xixd
MREJ Type ivMREJ Type xiiMREJ Type xxd
MREJ Type vMREJ Type xiii
MREJ Type viMREJ Type xiv

41n silico analysis predicts that more than 99.9% of the mecA and mecC sequences evaluated will be detected.

bApproximately 40% of the MREJ type xv - like sequence variation that is prediction that is predicted to substantially impair or prevent detection by the MREJa assay. However, no limitations on detection are predicted for ~60% of MREJ type xv - like sequences evaluated. The prevalence of MREJ type xv, with or without the sequence variation, is currently unknown.

SIsolate carries a mecA gene variant that is amplified by the mecA/C assay but is nonfunctional. Reporting based on genotype will not match the phenotype.

dIsolates with MREJ Types xix and xx have been described as methicillin sensitive.

*Approximately 1% of MREJ sequences of various types have mismatches to the assay primer(s) that may impact detection.

Table 45: Isolates Tested Containing blaNDM gene and In Silico Predicted Reactivity for NDM Types

NDM TypeOrganismIsolate IDTest concentration(copies/mL)Result
NDM-1C. freundiiAR Bank #01573.0 E+04NDM Detected
E. cloacaeAR-Bank #00383.0 E+04
M. morganiiAR-Bank #00573.0 E+04
P. mirabilisAR Bank #01593.0 E+04
P. aeruginosaAR Bank #02463.0 E+04
S. entericaAR Bank #01273.0 E+04
NDM-2A. baumaniiaGRE 11530643.0 E+04
NDM-5E. coliAR Bank #01509.9E+03
NDM-6E. coliAR Bank #01371.9E+04
NDM-7K. pneumoniaeAR Bank #01383.0 E+04
AR Bank #00683.0 E+04
In Silico Reactivity Predictions
DetectedbUnknown Reactivity
NDM-1 – NDM-13NDM-32NDM-14NDM-33-39

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NDM TypeOrganismIsolate IDTest concentration(copies/mL)Result
NDM-15-NDM-23NDM-40NDM-24 - NDM-26
NDM-27 - NDM-29NDM-30 - NDM-31

31solate was tested only to evaluate NDM assay reactivity, the species is not detected by the panel. b Less than 1% of NDM sequences of various types have mismatches to the assay primer(s) that may impact detection.

Table 46: Isolates Tested Containing blaOXA-48-like gene and In Silico Predicted Reactivity for OXA-48-like Types

OXA-48-like TypeOrganismIsolate IDTestconcentrationResult
OXA-48K. aerogenesAR Bank #00743.1 E+02
OXA-48-likeS. marcescensAPI 14111379.3E+02
OXA-162K. pneumoniaeGRE 13550309.3E+02OXA-48-like Detected
OXA-181K. pneumoniaeAR Bank #00519.3E+02
OXA-232K. pneumoniaeAR Bank #00759.3E+02
In Silico Reactivity Predictions
DetectedNot Detecteda,b,c
OXA-48OXA-244OXA-515OXA-54OXA-439OXA-551
OXA-48-likeOXA-245OXA-519OXA-163OXA-517OXA-552
OXA-162OXA-252OXA-546OXA-247OXA-535OXA-553
OXA-181OXA-370OXA-547OXA-405OXA-538OXA-567
OXA-199OXA-484OXA-566OXA-416OXA-548OXA-731
OXA-204OXA-505OXA-436OXA-549
OXA-232OXA-514OXA-438OXA-550

4Non-OXA-48-like types (e.g., OXA-23-like, OXA-40/240like, OXA-51-like, OXA-58-like, OXA-143a-like and OXA-143-like) will not be detected

bOXA-48-like types with altered carbapenem hydrolysis activity will not be detected.

·OXA-48-like types with altered carbapenem hydrolysis activity will not be detected.

Table 47: Isolates Tested Containing vanA/B genes

van TypeOrganismIsolate IDTest concentration(copies/mL)Result
vanAE. faeciumATCC 7002211.2 E+03
JMI 4753.6E+03vanA/B Detected
ATCC BAA-23183.6E+03
E. faecalisJMI 125363.6E+03
ATCC BAA-25733.6E+03
vanBE. faeciumATCC 518583.6E+03
E. faecalisATCC 7008021.5E+04
ATCC 515751.5E+04
ATCC BAA-23651.5E+04

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van TypeOrganismIsolate IDTest concentration(copies/mL)Result
ATCC 512995.0E+03

Table 48: Isolates Tested Containing blaVIM-like gene and In Silico Predicted Reactivity for VIM Types

VIM TypeOrganismIsolate IDTestconcentration(copies/mL)Result
VIM-1E. cloacaeAR Bank #01543.1E+03
VIM-2P. aeruginosaAR Bank #01009.3E+03VIM Detected
VIM-4P. aeruginosaAR Bank #00549.3E+03
VIM-7E. coliGRE 12560189.3E+03
VIM-10P. aeruginosaNCTC 134379.3E+03
VIM-11P. aeruginosaAR Bank #02399.3E+03
VIM-27K. pneumoniaeAR Bank #00409.3E+03
In Silico Reactivity Predictions
DetectedaNot DetectedUnknown Reactivity
VIM-1 - VIM-6VIM-47 - VIM-60VIM-7VIM-61VIM-21
VIM-8 - VIM-20VIM-52 - VIM-64VIM-39VIM-65VIM-22
VIM-23 - VIM-38VIM-66VIM-45VIM-67
VIM-40 - VIM-44VIM-46

ªApproximately 3% of VIM sequences of various types have mismatches to assay primer(s) that may impact detection.

Exclusivity

The potential for non-specific amplification and detection (cross-reactivity) by the BioFire II Panel assays was evaluated by in silico analysis of available sequences and by testing high concentrations of on-panel and off-panel organisms (and antimicrobial resistance genes). Each organism was tested in triplicate with most bacteria tested at a concentration >1.0E+08 CFU/mL and most yeast tested at a concentration >1.0E+06 CFU/mL. Off-panel fungi, viruses, and parasites were tested at the highest cultured concentration possible.

The on-panel and off-panel organisms tested are listed in Table 50 below. Testing included species and AMR genes that are genetically related to the species or AMR genes detected by the panel (same genus or otherwise related) as well as unrelated organisms that may be found in synovial fluid as pathogens or contaminants (e.g. skin microorganisms, viruses. etc.). All observed or predicted cross-reactivities are indicated. Erroneous results due to cross-reactivity with organisms that were not evaluated or due to cross-reactivity with emerging or novel sequences are also possible.

Table 49. Summary of Observed and Predicted Cross-Reactivity of BioFire JI Panel Assavs

{40}------------------------------------------------

BioFire JI Panel ResultCross-Reactive Organism
Anearococcus prevottii/vaginalisAnaerococcus degeneri
Anaerococcus hydrogenalis
Anaerococcus lactolyticus
Anaerococcus murdochii
Anaerococcus nagyae
Anaerococcus octavius
Anaerococcus senegalensis
Anaerococcus tetradius
Bacteroides fragilisBacteroides xylanisolvens
Clostridium cadaveris
Clostridium perfringensClostridium fallax
Enterobacter bugandensisb
Enterobacter cloacae complexEnterobacter chengduensisb
Escherichia albertii
Escherichia fergusonii
Shigella boydii
Escherichia coliShigella dysenteriae
Shigella flexneri
Shigella sonnei
Haemophilus influenzaeHaemophilus aegyptius
Kingella kingaeKingella negevensis
Proteus spp.Cosenzaea (Proteus) myxofaciens
Staphylococcus aureusb(and mecA/C and MREJ (MRSA))Staphylococcus argenteusb
Staphylococcus schweitzerib
AMR Genes Derived from Similar Lineages
CTX-McampC, blaKLU, blaOXY, blaRAHN
vanA/BvanM
  • Enterobacter bugandensis and E. chengduensis are recently identified species that are very closely-related to ECC species. Both are indicated as cross-reactive with the Enterobacter cloacae complex assay because their designation as ECC members is currently uncertain.

b Staphylococcus aureus, S. argenteus and S. schweitzeri are closely-related members of the Staphylococcus aureus complex.

CTX-M cross-reactivity with ancestral blakky genes and other related beta-lactamases is predicted to be inefficient and will only occur at high concentrations. The cross-reactive product will only be reported as CTX-M Detected if an applicable gram-negative bacterial species is also detected in the sample.

Table 50. On-Panel and Off-Panel Organisms Tested for Evaluation of BioFire JI Panel Analytical Specificity (Organisms detected or predicted to be detected at high concentration are shown in bold. Grey shading indicates cross-reactivity.)

{41}------------------------------------------------

ON PANEL
Gram Positive Bacteria
Anaerococcus vaginalisPeptoniphiluskoenoeneniaeStreptococcus equinusStreptococcusoligofermentans
Clostridium perfringensPeptoniphilus lacrimalisStreptococcus gallolyticus(ssp. gallolyticus &pasteruianus)Streptococcus peroris
Cutibacterium avidumPeptoniphilus massiliensisaStreptococcus gordoniiStreptococcus pneumoniae
Cutibacterium granulosumPeptoniphilus senegalensisStreptococcus infantariusStreptococcuspsseudopneumoniae
Enterococcus faecalisPeptoniphilus tyrelliaeStreptococcu equisPeptonipilus alleniiStreptococcus pyogenes
Enterococcus faeciumPeptoniphilus hareiStreptococcus salivarius(ssp. salivarius &thermophilus)
Finegoldia magnaStreptococcus agalactiaePeptoniphilus indolicusStreptococcus vestibularis
Parvimonas micraStreptococcus alactolyticusPeptostreptococcusanaerobiusStaphylococcus argenteus
PeptoniphilusasaccharolyticusStreptococcus anginosusPeptoniphilus olseniiaStaphylococcus aureus
Peptoniphilus coxiaStreptococcus bovisStreptococcus australisStreptococcus oralis
Peptoniphilus duerdeniiaStreptococcus constellatusStreptococcus intermediusStreptococcusparasanguinis
Peptoniphilus gorbachiiStreptococcus cristatusStreptococcus mitisStreptococcus sanguinis
Peptoniphilus grossensisStreptococcus downeiStreptococcus mutansStreptococcus suis
Peptoniphilus ivoriiaStreptococcus dysgalactiae(ssp. dysgalactiae &equismilis)Staphylococcuslugdunensis
Gram Negative Bacteria
Bacteroides fragilisCitrobacter sedlakiibEnterobacter moriProteus hauseri
Citrobacter braakiiCitrobacter werkmaniiEscherichia coliProteus mirabilis
Citrobacter europaeusCitrobacter youngaeHaemophilus influenzaeProteus penneri
Citrobacter farmeribEnterobacter asburiaeKingella kingaeProteus vulgaris
Citrobacter freundiiEnterobacter cloacaeKlebsiella aerogenesPseudomonas aeruginosa
Citrobacter gilleniibEnterobacter hormaecheiKlebsiella pneumoniaeSalmonella bongori
Citrobacter koseriEnterobacter kobeiMorganella morganiiSalmonella enterica
Citrobacter murlinaeEnterobacter ludwigiiNeisseria gonorrhoeaeSerratia marascens
Citrobacter rodentiumb
Antimicrobial Resistance Genes
mecA/C and MREJ(MRSA)blaCTX-MblaKPCBlaOXA-48-like
vanA/BblaIMPblaNDMBlaVIM
Yeast and Fungi
Candida albicansCandida (Meyerozma)guilliermondiic,dCandida metapsilosisCandida sojae
Candida auriscCandida holmiicCandida nivariensis(Nakaseomycesnivariensisa)Candida sphaerica(Kluyveromyces lactis)n
Candida(Trichomonascus) ciferriicCandida intermediacCandida (Pichia)norvegensiscCandida thermophilac,e
Candida colliculosa(Torulaspora delbrueckii)Candida kefyr(Kluyveromycesmarxianus)cCandida orthopsilosisCandida tropicalis
Candida dubliniensisCandida krusei(Issatchenkia orientalis)Candida parapsilosisCandida utilis(Cyberlindnera jadinii)c
Candida famata(Debaryomyces hansenii)cCandida (Yarrowia)lipolyticacCandida (Diutina) rugosacCandida viswanathiic
Candida glabrata(Nakaseomyces glabrataa)Candida (clavispora)lusitaniaec
OFF PANEL
Gram Positive Bacteria
AbaerococcussenegalensisfClostridium fallaxgEnterococcus pseudoaviumPeptostreptococcusstomatis
Actinomyces (Schaalia)odontolyticusClostridium ramosumEnterococcussaccharolyticusPropionibacteriumfreudenreichii
Actinomyces israeliiClostridium septicumFilifactor alocisRhodococcus equi
Actinomyces naeslundiiClostridium sordelliiGallicola barnesaeSarcina (Clostridium)ventriculi
Aerococcus sanquinicolaClostridium sphenoidesGemella haemolysansSlackiaheliotrinitrireducens
Aerococcus urinaeClostridium sporogenesHelcococcus kunziiStaphylococcus argenteus
AidiproprionbacteriumacidipropioniciClostridium tertiumGemella morbllorumStaphylococcus caprae
AidiproprionbacteriumjenseniiClostridium tetaniGamella sanguinisStaphylococcussaprophyticus
Anaerococcus degenerifCorynebacteriumdiphtheriaeGordonia bronchialisStaphylococcus capitis
AnaerococcushydrogenalisfCorynebacterium jeikeiumGranulicatella adiacensStaphylococcus carmosus
Anaerococcus lactolyticusfCorynebacteriumpseudodiphtheriticumLactobacillus caseiStaphylococcus cohnii
Anaerococcus murdochiifEnterococcus hiraeLactobacillus salivariusStaphylococcus epidermidis
Anaerococcus nagyaefEnterococcus raffinosusLactococcus garvieaeStaphylococcus equorun
Anaerococcus octaviusfLactobacillus rhamnosusLactococcus lactisStaphylococcushaemolyticus
Anaerococcus pacaensisEnterococcus mundtiiListeria monocytogenesStaphylococcus pasteuri
Anaerococcus tetradiusfCutibacterium(Proprionibacterium)acidifaciensLysinibacillus sphaericusStaphylococcus hominis
Atopobium parvulumCutibacterium(Proprionibacterium) acnesMacrococcus caseolyticusStaphylococcus intermediu
Bifidobacterium bifidumCutibacterium(Proprionibacterium)namnetenseMicrococcus luteusStaphylococcus lutrae
Bifidobacterium dentiumCorynebacterium striatumMurdochiellaasaccharolyticaStaphylococcuspseudointermedius
Blautia productaCorynebacteriumurealyticumMycobacterium kansasiiStaphylococcussaprophyticus
Brevibacterium linensEnterococcus aviumMycobacterium abscessusStaphylococcus schleiferi
Clostridioides(Clostridium) dificileEnterococcus casseliflavusPeptococcus nigerStaphylococcusschweitzeri h
Clostridium botulinumEnterococcus cecorumNocardia brasiliensisStaphylococcus warneri
Clostridium butyricumEnterococcus duransMycobacterium marinumStaphylococcus xylosus
Clostridium cadaveris §Enterococcus gallinarumMycobacteriumtuberculosisVagococcus fluvialis
Clostridiumclostridioforme
Gram Negative Bacteria
Actinobacillus arthritidisEdwardsiella tardaMassilia timonaePseudomonas otitidis
AcidaminococcusfermentansEikenella corrodensMegasphaera elsdeniiPseudomonaspertucinogena
AcinetobacternosocomialisEnterobacter bugandensis lMegasphaera indicaPseudomonas protegens
Acinetobacter schindleriEnterobacter cancerogenusMegasphaera massiliensisPseudomonas putida
Aeromonas hydrophilaEnterobacter chengduensis lMoraxella catarrhalisPseudomonas stutzeri
AggregatibacteractinomycetemcomitansEscherichia albertii mMoraxella lacunataRalstonia pickettii
Bacteroides doreiEscherichia coliNeisseria cinereaRaoultella ornithinolytic
Bacteroides caccaeEscherichia fergusonii mNeisseria flavaRaoultella planticola
Bacteroides eggerthiiEscherichia hermanniiNeisseria f;avescensSerratia ficaria
BacteroidesforsytusEscherichia vulnerisNeisseria lactamicaSerratia fonticola
Bacteroides helcogenesFusobacterium nucleatumNeisseria meningitidisSerratia liquifaciens
Bacteroides stercorisHaemophilus aegyptius nNeisseria mucosaSerratia odorifera
BacteroidesthetaiotaomicronHaemophilus ducreyiNeisseria perflavaSerratia plymuthica
Bacteroides uniformisHaemophilus haemolyticusNeisseria siccaSerratia proteamaculens
Bacteroides vulgatisHaemophilusparahaemoluticusNeisseria subflavaSerratia rubidaea
Bacteroides xylanisolvens lHaemophilusparainfluenzaePantoea agglomeransShewanella algae
Bacteroides ovatusHaemophilus parasuisParabacteroides distasonisShewanella denitrificans
Bordetella flabilisHaemophilus quentiniParabacteroides merdaeShewanella putrefaciens
Borrelia burgdorferiHaemophilus sputorumPasteruella multocidaShigella boydii m
Brucella abortusHafnia alveiPhotorhabdus asymbioticaShigella dysenteriam i
Brucella melitensisHafnia paralveisPluralibacter(Enterobacter( gergoviaeShigella flexneri m
Brucella suisKingella denitrificansPorphyromonas gingivalisShigella sonnei m
Burkholderia malleiKingella negevensis oPrevotella intermediaShimwellia blattae
Burkholderia multivoransKingella oralisPrevotella melaninogenicaStenotrophomonasmaltophilia
Burkholderia pseudomalleiKlebsiella grimontiiPrevotella nigrescensStenotrophomonasrhizophila
Campylobacter jejuniKlebsiella michiganensisProvidencia rettgeriTrabulsiella guamensis
Cedecea davisaeKlebsiella oxytocaProvidencia stuartiiVeillonella atypica
Citrobacter amalonaticuslKlebsiellaquasipneumoniaePseudomonas alcaligenesVeillonella dispar
Coszenaea ( Proteus )myxofaciensk kKlebsiella variicolaPseudomonas chlororaphisVeillonella parvula
Cronobacter malonaticusKluyvera intermediaPseudomonas fluorescensVeillonella rogosae
Cronobacter muytjensiiKosakonia (Enterobacter)sacchariPseudomonas luteolaVibrio vulnificus
Cronobacter sakazakiiLelliotia (Enterobacter)amnigenaPseudomonas mendocinaYersinia enterocolitica
Cronobacter turicensisLelliotia (Enterobacter)nimipressuralisPseudomonas nitroreducens
Cronobacter zurichensis(Siccibacter turicensis)Leclercia adecarboxylataPseudomonas oryzihabitans
Mycoplasma and Intracellular Bacteria
Chlamydia trachomatisMycoplasma fermentansMycoplasma hominisMycoplasma penetrans
Mycoplasma arthritidisMycoplasma genitaliumMycoplasma oraleUreaplasma urealyticum
Antimicrobial Resistance Genes
vanMPblaoxyqOmpCSME
AmpCqblaRAHNqOmpKSPM
blaKLUA/blaKLUCqCMY (II)SHVTEM
Yeast and Fungi
Aspergillus candidusCoccidioides immitisHistoplasma capsulatumTalaromyces (Penecillium,marneffei
Aspergillus clavatusCryptococcus gattiiMalassexia fufurSaccharomyces cerevisiae
Aspergillus fumigatusCryptococcus neoformansMalassexia globoseSchizosaccharomycespombe
Aspergillus terreusExophiala dermatitidisNeosartorya fischeriSporothrix schenckii
Blastomyces dematitidisExophiala xenobioticaPenicillium chrysogenum
Parasites
Chryptosporidium parvumEntamoeba histolytica
Viruses
Chikungunya VirusHepatitis C Virus (HCV)Human T-cellLymphotropic Virus(HTLV)Rubella Virus
Dengue VirusHerpes Simplex Virus 1(HSV-1)Parvovirus B19Varicella Zoster Virus(VZV)
Epstein Barr Virus (EBV)Herpes Simplex Virus 2(HSV-2)Measles VirusWest Nile Virus
Hepatitis A virus (HAV)Human ImmunodeficiencyVirus (HIV)Mumps VirusZika Virus
Hepatitis B Virus (HBV)

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aThe Peptoniphilus assay may not react with several Peptoniphilus species; see Analytical Reactivity section above.

"The Citrobacter assay may not react with several Citrobacter species; see Analytical Reactivity section above.

·Several of the Candida species detected at the high concentrations tested in this study may not be detected at lower concentrations; see the Analytical Reactivity section.

4C. guilliermondii is also classified as Candida fermentatis

eC. thermophila is also classified as Candida (Hansenula) parapolymorpha.

1Various Anaerococcus species are detected as Anaerococcus prevotii/vaginalis due to cross

reactivity. The efficiency of the cross-reactivity varies by species.

8 Clostridium cadaveris and Clostridium fallax are detected as Clostridium perfringens due to crossreactivity. Sequence analysis predicts a similar risk of cross-reactivity at high concentrations for C. baratii, C. disporicum and C. grantii.

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bStaphylococcus argenteus and Staphylococcus schweitzeri are detected as Staphylococcus aureus (all three species are part of the S. aureus complex) due to cross-reactivity. mecA/C and MREJ (MRSA) was also detected in the S. argenteus isolate.

Bacteroides xylanisolvens is detected as Bacteroides fragilis due to cross-reactivity. The Citrobacter assay may not react with several Citrobacter species; see Analytical Reactivity section above.

Cosenzaea myxofaciens (formerly Proteus myxofaciens) is detected as Proteus spp. due to crossreactivity.

Enterobacter bugandensis (tested) and Enterobacter chengduensis (not tested, in silico prediction only) are detected as Enterobacter cloacae complex due to cross-reactivity.

mEscherichia albertii, Escherichia fergusonii and Shigella species are detected as Escherichia coli due to cross-reactivity.

"Haemophilus aegyptius (formerly described as H. influenzae biogroup aegyptius) is detected as Haemophilus influenzae due to cross-reactivity.

· Kingella negevensis is detected as Kingella kingae due to cross-reactivity.

PvanM is detected as vanA/B (not tested, in silico prediction only) due to cross-reactivity 9The CTX-M assay cross-reacts weakly with the blaoxy gene carried in an isolate of Klebsiella michiganensis (reported as N/A because and applicable bacterium is not detected by the panel). Based on sequence analysis, the CTX-M assay is predicted to cross-react weakly with the blaoxy gene, blaRABs gene (found primarily in Rahnella and Leminorella species), blaki.u genes (isolated primarily from Kluyvera species), and some variants of ampC (not observed when tested at high concentration in this study).

Interference Testing

Potentially interfering substances that could be present in synovial fluid specimens or that may be introduced during specimen collection and testing were evaluated for their effect on the BioFire JI Panel performance. Substances included endogenous substances that may be found in specimens at normal or elevated levels, various commensal or infectious microorganisms, medications, a variety of sample processing substances and substances used to clean. decontaminate, or disinfect work areas. The effect of interfering substances has only been evaluated for those listed in Table 51. Interference from substances that were not evaluated could lead to erroneous results.

For this study, contrived samples were prepared in synovial fluid (SF) matrix, with each sample containing multiple organisms (and AMR genes) at low levels (3× the limit of detection (LoD)). The subset of organisms included in the samples represent all organism types and AMR genes detected by the panel (aerobic and anaerobic gram-positive and gramnegative bacteria, including fastidious species. with AMR genes for methicillin-resistance and vancomycin resistance in the gram-positive bacteria and for extended-spectrum beta lactamase and carbapenemase activity in gram-negative bacteria, as well as Candida yeast species). Since the functions of the test that could be affected by interference from various substances would impact detection of the different types of organisms and AMR genes similarly, testing with a representative subset is effective for evaluating interference for the full panel. Testing was performed with analytes at concentrations near LoD in order to identify the effects of even low-level interference on analyte detection.

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Each contrived sample was tested first as a 'no substance' or 'no interference' positive control followed by testing of the same sample after addition of a substance or microorganism. Substances were added to the contrived samples (or to negative SF, to test the impact of substance alone) at concentrations equal to or greater than the levels expected in clinical SF specimens, and microorganisms were added at the highest possible concentration to evaluate the 'worst case' scenario for interference. Control and test samples were tested in triplicate with three reagent lots.

JI Panel
SubstanceConcentration TestedTesting Outcome
Endogenous Substances
Blood30% v/vNo Interference
Cholesterol4 mg/mLNo Interference
C-Reactive Protein0.17 mg/mLNo Interference
Fibronectin3 mg/mLNo Interference
Lactate5.7 mg/mLNo Interference
Monosodium urate/Uric Acid0.235 mg/mLNo Interference
Calcium Phosphate16 mg/mLNo Interference
Calcium Oxalate7.9 µg/mLNo Interference
Bilirubin0.4 mg/mLNo Interference
White Blood Cells3.0E+07 cells/mLNo Interference
Rheumatoid Factor1,800 IU/mLNo Interference
Type II Collagen10.1 µg/mLNo Interference
Exogenous Substances
Acetaminophen156 µg/mLNo Interference
Salicylic Acid28.6 µg/mLNo Interference
Ibuprofen219 µg/mLNo Interference
Capsaicin Cream (0.1% capsaicin)0.5% (m/v)No Interference
Salicylate Cream (30% methylsalicylate)0.5% (m/v)No Interference
Camphor Balm (11% camphor)0.5% (m/v)No Interference
Arnica Gel (7% Arnicamontana)1.0% v/vNo Interference
Nystatin5000 Units/mLNo Interference
Fluconazole25.5 µLNo Interference
Mupirocin1.5 µg/mLNo Interference
Ceftriaxone840 µg/mLNo Interference
Vancomycin120 µg/mLNo Interference
Clindamycin51 µg/mLNo Interference
Triple antibiotic ointment (10000 Upolymyxin B, 3.5 mg neomycin, 500U bacitracin)0.5% (m/v)No Interference
Hydrocortisone8.3 mg/mLNo Interference
Hyaluronic acid16 mg/mLNo Interference
Lidocaine23 mg/mLNo Interference
Cobalt Ions20 µg/mLNo Interference
Chromium Ions50 µg/mLNo Interference
Ultra-High Molecular WeightPolyethylene1 mg/mLNo Interference
SubstanceConcentration TestedTesting Outcome
Polymethyl methacrylate Bonecement1% m/vNo Interference
Iohexol250 mg/mLNo Interference
Competitive Microorganisms
Streptococcus pyogenes7.56E+08 CFU/mLNo Interference
Eschericia coli8.1E+08 CFU/mLNo Interference
Finegoldia magna8.8E+07 CFU/mLNo Interference
Candida albicans7.9E+07 CFU/mLNo Interference
Cutibacterium acnes1.1E+07 cells/mLNo Interference
Staphylococcus epidermidis8.8E+08 CFU/mLNo Interference
Cornebacterium striatum7.8E+08 CFU/mLNo Interference
Cryprococcus neoformans1.0E+07 CFU/mLNo Interference
Parvovirus B197.0E+04 IU/mLNo Interference
Chikungunya virus2.2E+07 genomicequivalents/mLNo Interference
Disinfection/Cleaning Substances
Reagent Alcohol1.0% v/vNo Interference
Povidone-iodine1.0% v/vNo Interference
Bleach1.0% v/v(600 ppm chlorine)No Interference
Sample Processing Materials
K2-EDTA anticoagulant0.99 ug/mLNo Interference

Table 51: Evaluation of Potentially Interfering Substances on the BioFire JI Panel

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Notably, bleach is a strong oxidizer capable of damaging nucleic acids. When bleach has been evaluated for interference in other sample types associated with different BioFire FilmArray panels (e.g. nasopharyngeal swab in transport medium, cerebrospinal fluid (CSF), blood culture, stool in Cary Blair transport medium), the oxidizing effects of this disinfectant on results has varied based on the properties of the sample type, the concentration of bleach, and the amount of time the bleach was incubated with the sample. In some cases, such as with CSF, the damaging effect of bleach on the organisms and nucleic acids in the sample were apparent at low bleach concentration and short incubation times. In other cases, no impact on analyte detection was observed, even after 24-hour incubation or bleach concentration up to 5% (3000 ppm). In this study, bleach was tested at 1% (600 ppm) in SF following 15-minute and 24-hour incubation times and no effects on low-level analyte amplification and detection were observed. Nevertheless, to maintain sample integrity, caution should be taken to prevent the direct mixing of bleach with SF samples prior to testing.

4. Assay Reportable Range:

Not applicable.

    1. Traceability, Stability, Expected Values (Controls, Calibrators, or Methods):

Process Controls

Two process controls are included in each pouch:

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RNA Process Control: The RNA Process Control assay targets an RNA transcript from the yeast Schizosaccharomyces pombe. The yeast is present in the pouch in a freeze-dried form and becomes rehydrated when sample is loaded. The control material is carried through all stages of the test process, including lysis, nucleic acid purification, reverse transcription, PCR1, dilution. PCR2. and DNA melting. A positive RNA Process Control result indicates that all steps carried out in the BioFire JI Panel pouch were successful.

PCR2 Control: The PCR2 Control assay detects a DNA target that is dried into wells of the array along with the corresponding primers. A positive result indicates that 2nd stage PCR was successful.

Both control assays must be positive for the test run to pass. If either control fails, the Controls field of the test report will display "Failed" and all results will be listed as "Invalid". If the controls fail, the sample should be retested using a new pouch.

External Controls

External controls should be used in accordance with laboratory protocols and the appropriate accrediting organization requirements, as applicable. Previously characterized positive samples or negative samples spiked with well-characterized organisms can be used as external positive controls.

Specimen Stability

Diagnostic testing of SF specimens is intended to be performed as soon as possible after collection of the specimen, however, transport to the testing lab and subsequent storage of a specimen is sometimes required. A study was performed to confirm that accurate BioFire JI Panel test results can be obtained from SF samples stored refrigerated for up to seven days. Two contrived samples were prepared in a pooled SF matrix, with each sample containing a representative subset of organisms at a concentration near (3×) the established limit of detection (LoD) (as well as 'native' analytes present in the pooled SF matrix at an unknown concentration). The subset of spiked organisms included aerobic and anaerobic gram-positive and gram-negative bacteria (some harboring antimicrobial resistance (AMR) genes), as well as two species of Candida yeast.

Each contrived sample was tested in ten replicates immediately after preparation (D0, no storage) and the remaining sample volume was stored under standard refrigerated conditions for subsequent testing. Ten replicates were tested for each sample after one (D1), three (D3), five (D5) and seven (D7) days of refrigerated storage. Prolonged room temperature storage of SF prior to testing with the BioFire JI Panel will not be recommended and was not evaluated.

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Detection of organisms and AMR genes was observed in 90.0 - 100% of the no storage control (D0) sample replicates tested and there was no trend toward inaccurate test results associated with sample storage over time.

Analyte Detection
AnalyteStrainNoStorage(D0)Day 1(D1)Day 3(D3)Day 5(D5)Day 7(D7)
Gram Positive Bacteria
ClostridiumperfringensATCC 131249/109/109/109/109/10
EnterococcusfaeciumATCC 70022110/1010/1011/11b10/109/10
vanA/BATCC 70022110/1010/1011/11b10/1010/10
StaphylococcusaureusATCC4330010/1010/1010/1010/1010/10
mecA/C and MREJATCC4330010/1010/1010/1010/1010/10
Streptococcus spp.StreptococcuspneumoniaeATCC 630310/1010/1011/11b10/1010/10
Gram Negative Bacteria
Bacteroides fragilisATCC 2528510/1010/109/11b10/109/10
Escherichia coliNDMAR-BANK #015010/1010/1011/11b10/1010/10
HaemophilusinfluenzaeATCC 1021110/1010/1011/11b10/1010/10
Kingella kingaeATCC 2333010/1010/1010/1010/1010/10
KlebsiellapneumoniaeKPCAR-BANK #009710/1010/1010/1010/1010/10
NeisseriagonorrhoeaeATCC 1942410/1010/1010/1010/1010/10
CandidaCandida albicansATCC 9002810/1010/1010/1010/1010/10
Candida(Candida krusei)ATCC 625810/1010/1010/11b10/1010/10
Table 52: BioFire Joint Panel Results for Stored Synovial Fluid Specimensa
--------------------------------------------------------------------------------

ªAdditional analytes (E. faecalis, S. aureus, mecA/C and MREJ (MRSA) and S. lugdunensis) present in the pooled synovial fluid matrix were also detected.

6 An extra replicate of Sample 2 was tested due to a suspected pouch anomaly/error. Unexpected rosults were reported for 3 analytes (Bacteroides fragilis, NDM and Candida) in replicate 7 of Sample 2 stored for three days (D3).

Analysis of the Cp values across the evaluated analytes did not indicate a negative trend across the entire period of the stability study.

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Fresh vs. Frozen Study

In order to utilize frozen clinical respiratory samples in the evaluation of BioFire JI Panel, an analytical study was conducted to demonstrate that preservation of samples by freezing at <-70°C does not affect the accuracy of test results compared to freshly collected or freshly prepared samples.

Testing was performed on a representative panel of 30 paired fresh and frozen contrived specimens that were prepared by co-spiking each specimen with two organisms. Organisms were spiked into residual clinical synovial fluid specimens that were previously screened and found to be negative for the spiked analytes. The tested analytes included gram-positive, gram-negative, aerobic, and anaerobic bacteria (Streptococcus pvogenes, Anaerococcus prevotii, Enterococcus faecium, Bacteroides fragilis, and Klebsiella pneumoniae). Select gram-negative and gram-positive bacteria in the testing pool also have the antimicrobial resistance (AMR) genes CTX-M, OXA-48-like, and vanA. Additionally, this study included one yeast (Candida krusei). Ten (10) negative (unspiked) samples were randomized with the spiked specimens to facilitate specimen blinding and to monitor BioFire JI Panel control performance.

Each analyte was spiked into ten specimens. The majority of the contrived specimens (six for each analyte) were spiked at 2 × the limit of detection (LoD), with the remaining four specimens spiked at levels that spanned the detection range of each assay (10-1000 × LoD). AMR genes were tested at the host organism spike concentrations. All contrived specimens were split into two aliquots and the aliquots were coded and randomized so that personnel performing the testing were blinded to the expected results. One aliquot was tested fresh (without a freeze-thaw) on the BioFire JI Panel; the second aliquot was tested after a single freeze-thaw event (frozen for at least 24 hours at ≤ - 70℃).

Additionally, 25 clinical specimens (collected during the prospective study) were tested at BioFire (by users without knowledge of the expected results) from a frozen aliquot, and the results were compared to the results that were obtained when the specimens were tested fresh at the clinical study sites.

For contrived specimens, BioFire JI Panel results demonstrated 100% concordance for all evaluated analytes when tested fresh or frozen. For clinical specimens, BioFire JI Panel results demonstrated 100% concordance for most evaluated analytes when tested fresh or frozen. One exception was a missed detection for Pseudomonas aeruginosa, which was present in the specimen at a level near the LoD of the assay.

    1. Detection Limit:
      A limit of detection (LoD) was established for bacteria and yeast detected by the BioFire JI Panel. LoD was estimated by testing serial dilutions of contrived samples containing known concentrations of organisms in pooled synovial fluid matrix. Confirmation of LoD was achieved by testing at least 10 replicates each on both the FilmArray 2.0 and FilmArray Torch systems (20 replicates total dilution). LoD concentration was confirmed when the analyte was detected in at least 95% of the replicates tested.

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The confirmed LoD for each bacterium or yeast detected by the panel is listed in Table 53. The LoD concentration is based on quantification of each culture in viable units (TCID50/mL or CFU/mL) and a corresponding molecular LoD concentration (copies/mL) is provided based on quantitative real-time or digital PCR.

AnalyteIsolateStrain/Serotype/Source IDLoD Concentrationa
Viable UnitsMolecular (DNA)
Gram Positive Bacteria
Anaerococcus prevotii/vaginalisATCC 93211.0E+03 CFU/mL4.8E+04 copies/mL
Clostridium perfringensATCC 131245.0E+02 CFU/mL1.3E+03 copies/mL
ATCC 80091.3E+03 cells/mL1.4E+03 copies/mL
Cutibacterium avidumATCC 255771.2E+04 CFU/mL5.0E+04 copies/mL
Cutibacterium granulosumATCC 255643.4E+04 CFU/mL5.0E+04 copies/mL
Enterococcus faecalis (vanA/B)ATCC 512992.1E+03 CFU/mL5.0E+03 copies/mL
Enterococcus faecium (vanA/B)ATCC 7002211.0E+03 CFU/mL1.2E+03 copies/mL
Finegoldia magnaATCC 157941.0E+04 CFU/mL3.1E+05 copies/mL
Parvimonas micraATCC 332701.0E+03 CFU/mL4.8E+03 copies/mL
Peptoniphilus assacharolyticusATCC 149631.1E+04 CFU/mL4.0E+04 copies/mL
Peptostreptococcus anaerobiusATCC 273371.0E+04 CFU/mL1.6E+04 copies/mL
Staphylococcus aureus (mecA/C and MREJ) (MRSA)ATCC 433001.0E+02 CFU/mL4.2E+03 copies/mL
ATCC BAA-23131.3E+02 CFU/mL4.2E+03 copies/mL
Staphylococcus lugdunensisATCC 438091.0E+03 CFU/mL2.6E+03 copies/mL
Streptococcus mutansATCC 251751.0E+05 CFU/mL2.5E+05 copies/mL
Streptococcus agalactiaeATCC 138131.0E+04 CFU/mL1.9E+04 copies/mL
Streptococcus pneumoniaeATCC 63031.0E+02 CFU/mL5.3E+02 copies/mL
AnalyteIsolateStrain/Serotype/Source IDLoD ConcentrationaViable UnitsMolecular (DNA)
Bacteroides fragilisATCC 252851.0E+03 CFU/mL1.1E+03 copies/mL
CitrobacterATCC 80901.0E+03 CFU/mL4.7E+03 copies/mL
Enterobacter cloacaecomplex (VIM)AR Bank #01545.0E+04 CFU/mL1.3E+05 copies/mL
Escherichia coli (NDM)AR Bank #01505.02E+02 CFU/mL6.0E+03 copies/mL
HaemophilusinfluenzaeATCC 102115.0E+02 CFU/mL6.9E+02 copies/mL
Kingella kingaeATCC 233301.0E+03 CFU/mL3.4E+03 copies/mL
Klebsiella aerogenes(OXA-48-like)AR Bank #00745.0E+03 CFU/mL7.5E+03 copies/mL
Klebsiella pneumoniaegroup (KPC)AR Bank1.0E+04 CFU/mL1.6E+04 copies/mL
Morganela morganiiATCC 258301.0E+03 CFU/mL2.2E+03 copies/mL
Neisseria gonorrhoeaeATCC 194241.0E+02 CFU/mL2.2E+03 copies/mL
Proteus spp.ATCC 356591.0E+03 CFU/mL5.2E+03 copies/mL
Pseudomonasaeruginosa (IMP)AR Bank #00921.0E+04 CFU/mL1.3E+04 copies/mL
Salmonella spp.(CTX-M)AR Bank #04075.0E+02 CFU/mL1.6E+03 copies/mL
Serratia marcescensATCC 138805.0E+03 CFU/mL1.1E+04 copies/mL
Yeast
Candida spp.ATCC 62581.0E+03 CFU/mL-
Candida albicansATCC 900285.0E+02 CFU/mL-

Table 53: Summary of Limit of Detection (LoD) for BioFire JI Panel Bacteria and Yeast

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For resistance genes, data were collected to demonstrate detection of each AMR gene at a concentration corresponding to the lowest LoD of the applicable bacteria. LoD estimate dilution series data and/or LoD confirmation testing data for host organisms were used to demonstrate detection at the applicable bacterial LoD concentrations. Data from this testing establish that amplification and positive assay results for the AMR genes are observed at a host concentration that is the same as or similar to the lowest LoD of the applicable bacteria.

Table 54: AMR Gene Detection at Lowest Applicable LoD
-------------------------------------------------------------
BioFire JI AMRTargetApplicableOrganismLoD Concentration
Molecular (DNA)
CTX-MSalmonella enterica1.6E+03 copies/mL

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BioFire JI AMRTargetApplicableOrganismLoD ConcentrationMolecular (DNA)
IMPPseudomonasaeruginosa1.3E+03 copies/mL
KPCKlebsiella pneumoniae1.6E+03 copies/mL
mecA/C and MREJStaphylococcus aureus4.2E+03 copies/mL
NDMEscherichia coli6.0E+03 copies/mL
NDMMorganella morganii2.2E+03 copies/mL
NDMSalmonella enterica1.6E+03 copies/mL
OXA-48-likeKlebsiella aerogenes7.5E+02 copies/mL
vanA/BEnterococcus faecium1.2E+03 copies/mL
vanA/BEnterococcus faecalis1.0E+03 copies/mL
VIMATCC 157942.6E+03 copies/mL

7. Assay Cut-Off:

The BioFire Joint Infection Panel is part of BioFire Diagnostics' (BFDX) FilmArray system. The FilmArray system is designed to interpret the test data and automatically report the test results to the operator. The FilmArray system uses the results of the Melt Detector to determine each test result. The Melt Detector is part of the FilmArray Analysis Software and assigns a positive or negative result to each reaction on the array through analysis of the melt data collected during the test. These positive and negative results are combined in the FilmArray Analysis Software (using the replicate, assay and interpretation rules) to report the presence or absence of each pathogen in the panel.

The purpose of this study was to validate the use of this Melt Detector with current optimization parameters with the BioFire Bone and Joint Panel. To evaluate the Melt Detector performance, the observed sensitivity and specificity rates for the individual melt curves and assay calls are reported. These sensitivity and specificity rates are determined by comparing the FilmArray test results obtained from well-characterized samples, collected as part of the clinical evaluation and analytic testing of the Bone and Joint Panel, to expert annotation. Annotations (positive and negative calls) for all melt curves and assay calls were determined by the sponsor.

For individual melt curves, the observed sensitivity and specificity, as compared to expert annotation, of the Melt Detector is 99.59% and 99.98%. respectively. For the Analysis Software, the observed sensitivity and specificity, as compared to the expert annotation, of the assay calls are 99.49% for sensitivity and 99.97% specificity. The validation results met the predefined acceptance criteria of >95% accuracy as compared to expert annotation.

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8. Carry-Over:

A formal carry-over study in support of this regulatory submission for the BioFire JI Panel was not performed, since carry-over studies with high positive samples followed by negative samples have been performed for other FDA-cleared FilmArray Panels (i.e. FilmArray RP, BCID, and GI Panels) for both the FilmArray 2.0 and the FilmArray Torch systems, and no carry-over has been observed.

B Comparison Studies:

    1. Method Comparison:
      Not Applicable.
    1. Matrix Comparison:
      Not applicable.

C Clinical Studies:

    1. Clinical Sensitivity:
      The clinical performance of the BioFire Joint Infection Panel was established during a multicenter study conducted at thirteen geographically distinct study sites in the U.S. and in Europe over approximately two years from May 2018 to March 2020. A total of 1591 synovial fluid specimens were acquired for the prospective clinical study. A total of 47 synovial fluid specimens were excluded from the final data analysis. The most common reasons for specimen exclusion was the specimen was found to not meet the inclusion criteria after the specimen had been enrolled, a valid JI Panel test result was not obtained, or the study site was unable to complete the Case Report Form (CRF). The final data set consisted of 1544 specimens, of which 771 (49.9%) were frozen before testing. No difference in performance between fresh and frozen specimens was observed when results were compared, therefore the data from both specimen types have been combined for all analyses.

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OverallSite 1Site 2Site 3Site 4Site 5Site 6Site 7Site 8Site 9Site 10Site 11Site 12Site 12
SexMale878(56.9%)184(52.3%)46(52.3%)108(53.7%)65(73.0%)60(58.8%)45(51.7%)108(54.8%)39(59.1%)88(60.3%)88(64.7%)10(58.8%)27(55.1%)10(71.4%)
Female666(43.1%)168(47.7%)42(47.7%)93(46.3%)24(27.0%)42(41.2%)42(48.3%)89(45.2%)27(40.9%)58(39.7%)48(35.3%)7(41.2%)22(44.9%)4(28.6%)
Age$< 90$days1(0.1%)0(0%)0(0%)0(0%)0(0%)0(0%)0(0%)0(0%)0(0%)0(0%)0(0%)1(5.9%)0(0%)0(0%)
91 days -4 years22(1.4%)1(0.3%)0(0%)2(1.0%)0(0%)1(1.0%)0(0%)0(0%)0(0%)0(0%)1(0.7%)3(17.6%)11(22.4%)3(21.4%)
5 - 15years75(4.9%)8(2.3%)0(0%)3(1.5%)0(0%)3(2.9%)2(2.3%)1(0.5%)1(1.5%)0(0%)4(2.9%)13(76.5%)32(65.3%)8(57.1%)
16 - 25years35(2.3%)8(2.3%)1(1.1%)3(1.5%)3(3.4%)2(2.0%)0(0%)2(1.0%)0(0%)3(2.1%)6(4.4%)0(0%)4(8.2%)3(21.4%)
26 - 64years774(50.1%)200(56.8%)43(48.9%)80(39.8%)71(79.8%)38(37.3%)27(31.0%)101(51.3%)37(56.1%)99(67.8%)76(55.9%)0(0%)2(4.1%)0(0%)
≥ 65years637(41.3%)135(38.4%)44(50.0%)113(56.2%)15(16.9%)58(56.9%)58(66.7%)93(47.2%)28(42.4%)44(30.1%)49(36.0%)0(0%)0(0%)0(0%)
Total154435288201891028719766146136174914

Table 55. Overall and Per Site Demographic Analysis for Synovial Fluid Specimens

All specimens were evaluated with the BioFire Joint Infection Panel at clinical study sites. Refrigerated specimen aliquots were sent to a central reference laboratory for quantitative reference culture (qRefCx) and frozen specimen aliquots were also sent to BioFire for evaluation by polymerase chain reaction (PCR)/sequencing-based comparator methods.

The reference methods used in this study were as follows:

Bacterial analytes and yeast analytes were compared to SoC culture to evaluate sensitivity and specificity. These analytes were also evaluated by comparison to a single PCR assay for the organism of interest followed by a quantitative molecular assay that included sequencing (tMol). For specimens with an applicable bacteria detected by FilmArray, AMR genes were compared to a single PCR assay (from the specimen) followed by sequencing. A separate PCR was also performed on cultured isolates at BioFire. Standard manual and automated phenotypic AST of appropriate cultured isolates was performed at the study sites as SOC testing. A specimen was considered to be positive for an analyte if bi-directional sequencing data meeting pre- defined quality acceptance criteria matched organism-specific sequences deposited in the NCBI GenBank database (www.ncbi.nlm.nih.gov) with acceptable E-values. When two PCR comparator assays were used, any specimen that tested negative by both of the comparator assays was considered Negative.

Positive Percent Agreement (PPA) or Sensitivity for each analyte was calculated as 100% x

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(TP / (TP + FN)). True positive (TP) indicates that both the BioFire Joint Infection Panel and the comparator method had a positive result for this specific analyte, and false negative (FN) indicates that the BioFire Joint Infection Panel result was negative while the comparator result was positive. Negative Percent Agreement (NPA) or Specificity was calculated as 100% x (TN / (TN + FP)). True negative (TN) indicates that both the BioFire Joint Infection Panel and the comparator method had negative results, and a false positive (FP) indicates that the BioFire Joint Infection Panel result was positive but the comparator result was negative. The exact binomial two-sided 95% confidence interval was calculated. Samples for which false positive and/or false negative results (i.e., discrepant results) were obtained when comparing the BioFire Joint Infection Panel results to the comparator method results were further investigated. For discrepancies between the Bone Joint Infection Panel and reference culture for bacterial and yeast analytes, discrepant samples were first examined by an independent molecular assay performed directly on the specimen in an attempt to observe the analyte of interest. If this did not resolve the discrepancy, the study site was queried to ensure that the CRF accurately reflected the source documents. And if these methods still did not resolve the discrepancy, results of additional laboratory testing were considered. Results from the discrepancy testing did not change the final performance estimates. The prospective clinical study results are summarized in Table 56 below:

AnalyteSensitivity/PPASpecificity/NPA
TP/(TP + FN)%95%CITN/(TN + FP)%95%CI
Gram Positive Bacteria
Anaerococcus prevotii/vaginalis1/1100-1543/154310099.8-100%
Clostridium perfringens0/0--1544/154410099.8-100%
Cutibacterium avidum/granulosum0/0--1544/154410099.8-100%
Enterococcus faecalisa10/1010072.2-100%1529/153499.799.2-99.9%
Enterococcus faeciumb1/1100-1541/154399.999.5-100%
Finegoldia magnac3/310043.9-100%1540/154199.999.6-100%
Parvimonas micrad0/10-1543/154310099.8-100%
Peptoniphiluse1/1100-1542/154399.999.6-100%
Peptostreptococcus anaerobiusf0/0--1541/154499.899.4-99.9%
Staphylococcus aureusg98/10593.386.9-96.7%1417/143998.597.7-99.0%
Staphylococcus lugdunensish2/210034.2-100%1539/154299.899.4-99.9%
Streptococcus spp.i38/4486.473.3-93.6%1488/150099.298.6-99.5%
Streptococcus agalactiaej10/1190.962.3-98.4%1532/153399.999.6-100%
Streptococcus pneumoniae3/310043.9-100%1541/154110099.8-100%
Streptococcus pyogenesk11/1291.764.6-98.5%1532/153210099.7-100%
Gram Negative Bacteria
Bacteroides fragilisl0/0--1543/154499.999.6-100%
Citrobacter2/210034.2-100%1542/154210099.8-100%
Enterobacter cloacae complexm2/45015-85.0%1538/154099.999.5-100%
Escherichia colin14/1410078.5-100%1529/153099.999.6-100%
Haemophilus influenzaeo1/1100-1542/154399.999.6-100%
Kingella kingaep1/1100-1537/154399.699.2-99.8%
Klebsiella aerogenes0/0--1544/154410099.8-100%
Klebsiella pneumoniae groupq4/580.037.6-96.4%1538/153999.999.6-100%
Morganella morganiir1/1100-1541/154399.999.5-100%
Neisseria gonorrhoeaes2/210034.2-100%1539/154299.899.4-99.9%

Table 56: BioFire Joint Infection Panel Prospective Clinical Performance Summary

{57}------------------------------------------------

AnalyteSensitivity/PPASpecificity/NPA
TP/(TP + FN)%95%CITN/(TN + FP)%95%CI
Proteus spp.t4/410051.0-100%1536/154099.799.3-99.9%
Pseudomonas aeruginosau2/210034.2-100%1539/154299.899.4-99.9%
Salmonella spp.0/0--1544/154410099.8-100%
Serratia marcescensv2/210034.2-100%1541/154299.999.6-100%
Yeast
Candidaw4/757.125.0-84.2%1536/153799.999.6-100%
Candida albicansx3/560.023.1-88.2%1539/153910099.8-100%

a E. faecalis was detected in all five FP specimens using an additional comparator method

b E. faecium was detected in both FP specimens using an additional molecular method

& F. magna was detected in the single FP specimen using an additional molecular method

d P. micra was detected in the single FN specimen using an additional molecular method

e P. was detected in the single FP specimen using an additional molecular method

t P. anaerobius was detected in all three FP specimens using an additional molecular method

8 S. aureus was detected in 57 FN specimens using an additional molecular testing of one of the remaining two FN specimens and its isolate identified it as S. argenteus. S. aureus was detected in 19/22 FP specimens using an additional molecular method.

h S. lugdunensis was detected in all three FP specimens using an additional molecular method

1 Streptococcus spp. was detected in 4/7 FN specimens and in all 12 FP specimens using an additional method

I S. agalactiae was detected in the single FN specimen using an additional molecular method

k The single FN specimen was negative for S. pygogenes when tested by additional molecular methods

1 B. fragilis was detected in the single FP specimen using an additional molecular method

m E. cloacae complex was detected in 1/2 FN specimens using an additional molecular method

n E. coli was detected in the single FP specimen using an additional molecular method

0H. influenzae was detected in the single FP specimen using an additional molecular method

P K. kingae was detected in all six FP specimens using an additional molecular methods

9 K. pneumoniae group was detected in the single FN specimen using an additional molecular method

T M. morganii was detected in both FP specimens using an additional molecular method

8 N. gonorrhoeae was detected in all three FP specimens using an additional molecular method

1 Proteus spp. was detected in all four FP specimens using an additional molecular method

u P. aeruginosa was detected in all three FP specimens using an additional molecular method

" S. marcescens was detected in the single FP specimen using an additional molecular method

w Candida was detected in 2/3 FN specimens and in the single FP specimen using an additional mothod

  • Candida albicans was detected in 1/2 FN specimens using an additional molecular method

BioFire JI Panel Genus and Group level organism assay performance is stratified by species for Anaerococcus prevotii/vaginalis, Peptoniphilus, Streptococcus spp., Citrobacter, Enterobacter cloacae complex, Klebsiella pneumoniae group, Proteus spp., and Candida in Table 50. Note: multiple organisms from a group may be detected in a single specimen, therefore the "Total" values in these tables may not match the performance values presented above, which are reported per specimen.

Table 57. Sensitivity of the BioFire JI Panel Species Inclusive Assays Stratified by Species

SpeciesBioFire JI Panel Sensitivity
Anaerococcus prevotii/vaginalis
A. vaginalis1/1 (100%)
Peptoniphilus spp.
P. asaccharolyticus1/1 (100%)
Streptococcus spp.
S. agalactiae10/11 (90.9%)
S. anginosus1/1 (100%)
S. anginosus group1/1 (100%)
S. constellatus1/1 (100%)
S. dysgalactiae7/8 (85.7%)
S. gallolyticus0/1 (0%)
S. gordonii2/2 (100%)
S. mitis1/1 (100%)
S. oralis1/1 (100%)
S. pneumoniae + S. pyogenes1/1 (100%)
S. pneumoniae2/2 (100%)
S. pyogenes10/11 (90.9%)
S. salivarius/vestibularis group0/1 (0%)
Viridans streptococci1/2 (50%)
Total Streptococcus species38/44 (86.4%)
Citrobacter spp.
C. freundii1/1 (100%)
C. koseri1/1 (100%)
Total Citrobacter species2/2 (100%)
Enterobacter coacae complex
E. cloacae1/2 (50%)
E. cloacae complex1/2 (50%)
Total E. cloacae species2/4 (50%)
Klebsiella pneumoniae group
K. pneumoniae4/5 (80%)
Proteus spp.
P. mirabilis4/4 (100%)
Candida spp.
C. albicans3/5 (60.0%)
C. parapsilosis1/2 (50%)
Total Candida species4/7 (57.1%)

{58}------------------------------------------------

Antimicrobial Resistance Genes

AMR gene results are reported only when one or more applicable bacteria that may carry the gene are also detected in the sample. If no applicable bacteria are detected, the AMR gene results are reported as Not Applicable (N/A). The results are summarized for each AMR gene in Table 51.

{59}------------------------------------------------

AnalyteTP/(TP + FN)%95%CITN/(TN + FP)%95%CI
CTX-M5/510056.6-100%33/3310089.6-100%
IMP0/0--38/3810090.8-100%
KPC0/0--40/4010091.2-100%
mecA/C and MREJ (MRSA)19/1910083.2-100%90/9495.789.6-98.3%
NDM0/0--40/4010091.2-100%
OXA-48-like1/1100-33/3310089.6-100%
vanA/B3/310043.9-100%14/1410078.5-100%
VIM0/0--38/3810090.8-100%

Table 58: BioFire Joint Infection Panel Prospective Clinical Performance Summary - AMR Genes

" Three out of the four FP specimens evidence of mecA/C AMR gene was observed in the isolates using independent molecular method with sequencing. Additionally, SOC testing confirmed an AST phenotype of methicillin resistant for all three isolates. The mecA/c and MREJ AMR genes were found in the remaining independent molecular methods.

AMR gene results are reported only when one or more applicable bacteria that may carry the gene are also detected in the sample. If no applicable bacteria are detected, the AMR gene results are reported as Not Applicable (N/A). The results are summarized for each AMR gene in Table 59 through Table 74. Note: the 'Performance Summary' tables below do not include specimens for which an applicable bacteria was not reported (i.e. the AMR gene was reported as N/A); these specimens are instead accounted for in the 'Distribution of Clinical Specimens' tables below.

S. aureusmecA/C and MREJSoC: S. aureus PCR/seq: mecA/C
JI PanelResultOrg+/ Res+Org+/ Res-Org -Total
Org+/ Res+153523
Org+/ Res-0731790
Org -0713931400
Total158314151513a
PerformanceAgreement%95%CI
Org+ / Res+15/15100%79.6-100%
Org+/ Res-73/8388.0%79.2-93.3%
Org -1393/141598.4%97.7-99.0%%
InterpretationPPANPAPrevalence
MRSA15/15(100%)1490/1498(99.5%)23/1513(1.5%%)
MSSA73/83(88.0%)1413/1430(98.8%)90/1513(5.9%)
S. aureus91/98(92.9%)1393/1415(98.4%)113/1513(7.5%)

Table 59: Distribution of mecA/C and MREJ in Clinical Specimens

aThirty-one (31) specimens excluded from molecular analysis for mecA/C and MREJ (MRSA) due to volume constraints either initially or following a failure during comparator testing

Table 60. Stratification of mecA/C and MREJ by Applicable Host Organism

{60}------------------------------------------------

Applicable Bacteria Result(JI Panel)NPositive PercentAgreementNegative PercentAgreement
%95% CI%95% CI
Staphylococcus aureus98100%(19/19)83.2-100%95.7%(90/94)89.6-98.3%
Table 61. Distribution of VIM in Clinical Specimens
---------------------------------------------------------------
VIMSoC: Applicable Bacteria PCR/seq: VIMOrg+ / Res+Org+ / Res-Org -Total
JI PanelResultOrg+/ Res+0000
Org+/ Res-028a1038
Org -0314721475
Total03114821513b
PerformanceAgreement%95%CI
Org+/Res+0/0--
Org+/Res-28/3190.3%75.1-96.7%
Org -1472/148299.3%98.8-99.6%

4Two specimens had co-detection of Escherichia coli with Proteus spp.; one specimen had co-detection of Klebsiella pneumoniae group with Morganella morganii; one specimen had co-detection of Klebsiella pneumoniae group with Morganella morganii and Proteus spp.

bThirty-one (31) specimens were excluded from molecular analysis for VIM due to volume constraints either initially or following a failure during comparator testing

Table 62. Stratification of VIM Clinical Performance by Applicable Host Organism

{61}------------------------------------------------

Applicable Bacteria Result(JI Panel)Positive PercentAgreementNegative PercentAgreement
%95% CI%95% CI
Overall (any applicable bacteria Detected)(0/0)-100%(38/38a)90.8-100%
Citrobacter(0/0)-100%(2/2)34.2-100%
Enterobacter cloacaecomplex(0/0)-100%(4/4)51.0-100%
Escherichia coli(0/0)-100%(15/15)79.6-100%
Klebsiella aerogenes(0/0)-(0/0)-
Klebsiella pneumoniaegroup(0/0)-100%(5/5)56.6-100%
Morganella morganii(0/0)-100%(3/3)43.9-100%
Proteus spp.(0/0)-100%(8/8)67.6-100%
Pseudomonas aeruginosa(0/0)-100%(4/4)51.0-100%
Salmonella spp.(0/0)-(0/0)-
Serratia marcescens(0/0)-100%(2/2)34.2-100%

aTwo specimens had co-detection of Escherichia coli with Proteus spp .; one specimen had co-detection of Klebsiella pneumoniae group with Morganella morganii; one specimen had co-detection of Klebsiella pneumoniae group with Morganella morganii and Proteus spp.

Table 63. Distribution of CTX-M in Clinical Specimens

CTX-MOrg+ / Res+Org+ / Res-Org -Total
JI PanelResultOrg+ / Res+5005
Org+ / Res-023a1033
Org -0314721475
Total52614821513b
PerformanceAgreement%95%CI
Org+ / Res+5/5100%56.6-100%
Org+ / Res-23/2688.5%71.0-96.0%
Org -1472/148299.3%98.8-99.6%

aTwo specimens had co-detection of Escherichia coli with Proteus spp ; one specimen had co-detection of Klebsiella pneumoniae group with Morganella morganii; one specimen had co-detection of Klebsiella pneumoniae group with Morganella morganii and Proteus spp.

bThirty-one (31) specimens excluded from tMol analysis for CTX-M due to volume constraints either initially or following a failure during comparator testing

Table 64. Stratification of CTX-M Clinical Performance by Applicable Host Organism

{62}------------------------------------------------

Applicable Bacteria Result(JI Panel)Positive PercentAgreementNegative PercentAgreement
%95% CI%95% CI
Overall (any applicable bacteria Detected)100(5/5)56.6-100%100%(33/33a)89.6-100%
Citrobacter(0/0)-100%(2/2)34.2-100%
Enterobacter cloacaecomplex(0/0)-100%(4/4)51.0-100%
Escherichia coli100(2/2)34.2-100%100%(13/13)77.2-100%
Klebsiella aerogenes(0/0)-(0/0)-
Klebsiella pneumoniaegroup100(3/3)43.9-100%100%(2/2)34.2-100%
Morganella morganii(0/0)-100%(3/3)43.9-100%
Proteus spp.(0/0)-100%(8/8)67.6-100%
Pseudomonas aeruginosa(0/0)-100%(4/4)51.0-100%
Salmonella spp.(0/0)-(0/0)-
Serratia marcescens(0/0)-100%(2/2)34.2-100%

"Two specimens had co-detection of Escherichia coli with Proteus spp .; one specimen had codetection of Klebsiella pneumoniae group with Morganella morganii; one specimen had codetection of Klebsiella pneumoniae group with Morganella morganii and Proteus spp.

Table 65. Distribution of IMP in Clinical Specimens

IMPSoC: Applicable Bacteria PCR/seq: IMP
Org+/ Res+Org+/ Res-Org -Total
JI PanelResultOrg+/ Res+0000
Org+/ Res-028a1038
Org -0314721475
Total03114821513b
PerformanceAgreement%95%CI
Org+/ Res+0/0--
Org+/ Res-28/3190.3%75.1-96.7%
Org -1472/148299.3%98.8-99.6%

4Two specimens had co-detection of Escherichia coli with Proteus spp ; one specimen had co-detection of Klebsiella pneumoniae group with Morganella morganii; one specimen had co-detection of Klebsiella pneumoniae group with Morganella morganii and Proteus spp.

bThirty-one (31) specimens excluded from molecular analysis for IMP due to volume constraints either initially or following a failure during comparator testing

Table 66. Stratification of IMP Clinical Performance by Applicable Host Organism

{63}------------------------------------------------

Applicable Bacteria Result(JI Panel)Positive PercentAgreement95% CINegative PercentAgreement95% CI
Overall (any applicable bacteria Detected)(0/0)-100%(38/38a)90.8-100%
Citrobacter(0/0)-100%(2/2)34.2-100%
Enterobacter cloacaecomplex(0/0)-100%(4/4)51.0-100%
Escherichia coli(0/0)-100%(15/15)79.6-100%
Klebsiella aerogenes(0/0)-(0/0)-
Klebsiella pneumoniaegroup(0/0)-100%(5/5)56.6-100%
Morganella morganii(0/0)-100%(3/3)43.9-100%
Proteus spp.(0/0)-100%(8/8)67.6-100%
Pseudomonas aeruginosa(0/0)-100%(4/4)51.0-100%
Salmonella spp.(0/0)-(0/0)-
Serratia marcescens(0/0)-100%(2/2)34.2-100%

*Two specimens had co-detection of Escherichia coli with Proteus spp.; one specimen had co-detection of Klebsiella pneumoniae group with Morganella morganii; one specimen had co-detection of Klebsiella pneumoniae group with Morganella morganii and Proteus spp.

OXA-48-likeSoC: Applicable Bacteria PCR/seq: OXA-48-like
Org+ / Res+Org+ / Res-Org -Total
JI PanelResultOrg+ / Res+1001
Org+ / Res-025a833
Org -0314761479
Total12814841513b
PerformanceAgreement%95%CI
Org+ / Res+1/1100%-
Org+ / Res-25/2889.3%72.8-96.3%
Org -1476/148499.5%98.9-99.7%

Table 67. Distribution of OXA-48-like in Clinical Specimens

4Two specimens had co-detection of Escherichia coli with Proteus spp ; one specimen had co-detection of Klebsiella pneumoniae group with Morganii; one specimen had co-detection of Klebsiella pneumoniae group with Morganella morganii and Proteus spp.

bThirty-one (31) specimens excluded from molecular analysis for OXA-48-like due to volume constraints either initially or following a failure during comparator testing.

Table 68. Stratification of OXA-48-like Clinical Performance by Applicable Host Organism

{64}------------------------------------------------

Applicable Bacteria Result(JI Panel)Positive PercentAgreementNegative PercentAgreement
%95% CI%95% CI
Overall (any applicable bacteria Detected)100(1/1)-100%(33/33a)89.6-100%
Citrobacter-(0/0)-100%(2/2)34.2-100%
Enterobacter cloacaecomplex-(0/0)-100%(4/4)51.0-100%
Escherichia coli-(0/0)-100%(15/15)79.6-100%
Klebsiella aerogenes-(0/0)--(0/0)-
Klebsiella pneumoniaegroup100(1/1)-100%(4/4)51.0-100%
Morganella morganii-(0/0)-100%(3/3)43.9-100%
Proteus spp.-(0/0)-100%(8/8)67.6-100%
Salmonella spp.-(0/0)--(0/0)-
Serratia marcescens-(0/0)-100%(2/2)34.2-100%

ªTwo specimens had co-detection of Escherichia coli with Proteus spp ; one specimen had co-detection of Klebsiella pneumoniae group with Morganella morganii; one specimen had co-detection of Klebsiella pneumoniae group with Morganella morganii and Proteus spp.

SoC: Applicable Bacteria PCR/seq: vanA/B
vanA/BOrg+ / Res+Org+ / Res-Org -Total
JI PanelResultOrg+/ Res+1023
Org+/ Res-09514
Org -0014961496
Total1915031513a
PerformanceAgreement%95%CI
Org+/ Res+1/1100%-
Org+ / Res-9/9100%70.1-100%
Org -1496/150399.5%99.0-99.8%

Table 69. Distribution of vanA/B in Clinical Specimens

"Thirty-one specimens excluded from molecular analysis for vanA/B due to volume constraints either initially or following a failure during comparator testing

Table 70. Stratification of vanA/B Clinical Performance by Applicable Host Organism

Applicable Bacteria Result(JI Panel)Positive PercentAgreementNegative PercentAgreement
%95% CI%95% CI
Overall (any applicable bacteria Detected)100(3/3)43.9-100100%(14/14)78.5-100%
Enterococcus faecalis-(0/0)-100%(14/14)78.5-100%
Enterococcus faecium10043.9-100--

{65}------------------------------------------------

(3/3)(0/0)
--------------
NDMSoC: Applicable Bacteria PCR/seq: NDM
Org+ / Res+Org+ / Res-Org -Total
JI PanelResultOrg+ / Res+0000
Org+ / Res-029a1140
Org -0314881491
Total03214991531b
PerformanceAgreement%95%CI
Org+ / Res+0/0--
Org+ / Res-29/3290.6%75.8-96.8%
Org -1488/149999.3%98.7-99.6%

Table 71. Distribution of NDM in Clinical Specimens

aTwo specimens had co-detection of Escherichia coli with Proteus spp ; one specimen had co-detection of Klebsiella pneumoniae group with Morganii; one specimen had co-detection of Klebsiella pneumoniae group with Morganella morganii and Proteus spp.

bThirteen (13) specimens were excluded from molecular analysis for NDM due to volume constraints during comparator testing

Table 72. Stratification of NDM Clinical Performance by Applicable Host Organism

Applicable Bacteria Result(JI Panel)Positive PercentAgreementNegative PercentAgreement
%95% CI%95% CI
Overall (any applicable bacteria Detected)(0/0)-100%(40/40)a91.2-100%
Citrobacter(0/0)-100%(2/2)34.2-100%
Enterobacter cloacaecomplex(0/0)-100%(4/4)51.0-100%
Escherichia coli(0/0)-100%(15/15)79.6-100%
Klebsiella aerogenes(0/0)-(0/0)-
Klebsiella pneumoniaegroup(0/0)-100%(5/5)56.6-100%
Morganella morganii(0/0)-100%(3/3)43.9-100%
Proteus spp.(0/0)-100%(8/8)67.6-100%
Pseudomonas aeruginosa(0/0)-100%(5/5)56.6-100%
Salmonella spp.(0/0)-(0/0)-
Serratia marcescens(0/0)-100%(3/3)43.9-100%

aTwo specimens had co-detection of Escherichia coli with Proteus spp ; one specimen had codetection of Klebsiella pneumoniae group with Morganella morganii; one specimen had co-detection of Klebsiella pneumoniae group with Morganella morganii and Proteus spp.

{66}------------------------------------------------

SoC: Applicable Bacteria PCR/seq: KPC
KPCOrg+ / Res+Org+ / Res-Org -Total
Org+ / Res+0000
JI PanelOrg+ / Res-029a1140
ResultOrg -214881491
Total31149915316
PerformanceAgreement0/095%CI
Org+ / Res+0/10%Car
Org+ / Res-29/3193.5%79.3-98.2%
Org -1488/149999.3%98.7-99.6%

Table 72 Dictribution of VDC in Clinical Specie

"Two specimens had co-detection of Escherichia coli with Proteus sp .; one specimen had co-detection of Klebsiella pneumoniae group with Morganii; one specimen had co-detection of Klebsiella pneumoniae group with Morganella morganii and Proteus spp.

bThirteen (13) specimens were excluded from molecular analysis for KPC due to volume constraints during comparator testing

Table 74. Stratification of KPC Clinical Performance by Applicable Host Organism

Applicable Bacteria Result(JI Panel)Positive PercentAgreementNegative PercentAgreement
%95% CI%95% CI
Overall (any applicable bacteria Detected)(0/0)-100%(40/40)a91.2-100%
Citrobacter(0/0)-100%(2/2)34.2-100%
Enterobacter cloacaecomplex(0/0)-100%(4/4)51.0-100%
Escherichia coli(0/0)-100%(15/15)79.6-100%
Klebsiella aerogenes(0/0)-(0/0)-
Klebsiella pneumoniaegroup(0/0)-100%(5/5)56.6-100%
Morganella morganii(0/0)-100%(3/3)43.9-100%
Proteus spp.(0/0)-100%(8/8)67.6-100%
Pseudomonas aeruginosa(0/0)-100%(5/5)56.6-100%
Salmonella spp.(0/0)-(0/0)-
Serratia marcescens(0/0)-100%(3/3)43.9-100%

The BioFire JI Panel AMR gene reporting in the specimen was also compared to phenotypic antimicrobial susceptibility testing (AST) methods performed on organism isolates recovered from those specimens. The results presented in Table 75 through Table 78 are only for specimens with concordant (true positive) results, and are further stratified by each applicable host organism recovered from that specimen. Note that antimicrobial resistance, particularly extended-spectrum ß-lactamase (ESBL) activity and carbapenem resistance, may be due to mechanisms other than the presence of the AMR genes detected by the BioFire JI

{67}------------------------------------------------

Panel; conversely, detection of these genes may not always indicate an antimicrobial resistance phenotype. Additionally, discordant results between mecA/C and MREJ (MRSA) detection in a SF specimen by the BioFire JI Panel and the observed methicillin (oxacillin/cefoxitin) resistance of cultured Staphylococcus aureus isolates may be due to polymicrobial Staphylococcus aureus cultures containing a mixture of resistant and sensitive organisms.

Table 75. CTX-M Performance (compared to phenotypic AST methods for ESBL activity on cultured isolate(s) from SF specimens)

Organism Identified by SOC andDetected by BioFire JI PanelNESBLNNon-ESBLPositive PercentAgreement%Positive PercentAgreement95% CINegative PercentAgreement%Negative PercentAgreement95% CI
Overall(anyapplicable bacteria Detected)72471.4% (5/7)35.9-91.8%100% (24/24)86.2-100%
Citrobacter02(0/0)-100%(2/2)34.2-100%
Enterobacter cloacaecomplex02(0/0)-100%(2/2)34.2-100%
Escherichia coli212100% (2/2)34.2-100%100(12/12)75.8-100%
Klebsiella aerogenes00(0/0)-(0/0)-
Klebsiella pneumoniaegroup4075.0% (3/4)30.1-95.4%(0/0)-
Morganella morganii01(0/0)-100%(1/1)-
Proteus spp.130(0/1)-100%(3/3)43.9-100%
Pseudomonas aeruginosa02(0/0)-100%(2/2)34.2-100%
Salmonella spp.00(0/0)-(0/0)-
Serratia marcescens02(0/0)-100%(2/2)34.2-100%

Table 76. Carbapenem Resistance Genes Performance (as compared to phenotypic AST methods for carbapenem resistance on cultured isolate(s) from SF specimens).

{68}------------------------------------------------

Organism Identifiedby SOC andDetected by JIPanelNIMPKPCNDMOXA-48-likeVIMOverall(anyresistancegene)
RSPPANPAPPANPAPPANPAPPANPAPPANPAPPANPA
Overall(anyapplicable bacteriaDetected)1300%(0/1)100%(30/30)0%(0/1)100%(30/30)0%(0/1)100%(30/30)100%(1/1)100%(28/28)0%(0/1)100%(30/30)100%(1/1)100%(30/30)
Citrobacter02-(0/0)100%(2/2)-(0/0)100%(2/2)-(0/0)100%(2/2)-(0/0)100%(2/2)-(0/0)100%(2/2)-(0/0)100%(2/2)
Enterobacter cloacaecomplex02-(0/0)100%(2/2)-(0/0)100%(2/2)-(0/0)100%(2/2)-(0/0)100%(2/2)-(0/0)100%(2/2)-(0/0)100%(2/2)
Escherichia coli014-(0/0)100%(14/14)-(0/0)100%(14/14)-(0/0)100%(14/14)-(0/0)100%(14/14)-(0/0)100%(14/14)-(0/0)100%(14/14)
Klebsiella aerogenes00-(0/0)-(0/0)-(0/0)-(0/0)-(0/0)-(0/0)-(0/0)-(0/0)-(0/0)-(0/0)-(0/0)-(0/0)
Klebsiellapneumoniaegroup130%(0/1)100%(3/3)0%(0/1)100%(3/3)0%(0/1)100%(3/3)100%(1/1)100%(3/3)0%(0/1)100%(3/3)100%(1/1)100%(3/3)
Morganella morganii01-(0/0)100%(1/1)-(0/0)100%(1/1)-(0/0)100%(1/1)-(0/0)100%(1/1)-(0/0)100%(1/1)-(0/0)100%(1/1)
Proteus spp.04-(0/0)100%(4/4)-(0/0)100%(4/4)-(0/0)100%(4/4)-(0/0)100%(4/4)-(0/0)100%(4/4)-(0/0)100%(4/4)
Pseudomonasaeruginosa02-(0/0)100%(2/2)-(0/0)100%(2/2)-(0/0)100%(2/2)N/AN/A-(0/0)100%(2/2)-(0/0)100%(2/2)
Salmonella spp.00-(0/0)-(0/0)-(0/0)-(0/0)-(0/0)-(0/0)-(0/0)-(0/0)-(0/0)-(0/0)-(0/0)-(0/0)
Serratia marcescens02-(0/0)100%(2/2)-(0/0)100%(2/2)-(0/0)100%(2/2)-(0/0)100%(2/2)-(0/0)100%(2/2)-(0/0)100%(2/2)

Table 77. mecA/C and MREJ (MRSA) Performance (compared to phenotypic AST methods for methicillin (oxacillin/cefotoxitin) resistance on cultured isolates from SF specimens.

Organism Identified by SOC andDetected by BioFire JI PanelNPositive PercentAgreementNegative PercentAgreement
RS%95% CI%95% CI
Staphylococcus aureus227681.8(18/22)61.5-92.7%100%(76/76)95.2-100%

Table 78. vanA/B Performance (as compared to phenotypic AST methods for vancomycin resistance on cultured isolates from SF specimens.

{69}------------------------------------------------

Organism Identified by SOC andDetected by BioFire JI PanelNPositive PercentAgreementNegative PercentAgreement
RS0/095% CI%95% CI
Overall(anyapplicable bacteria Detected)011(0/0)90.9%(10/11)62.3-98.4%
Enterococcus faecalis010(0/0)100%(10/10)72.2-100%
Enterococcus faecium0(0/0)-0%(0/1)

Archived Specimen Study

Many analytes on the BioFire Joint Infection (JI) Panel were of low prevalence during the prospective study and were not encountered in large enough numbers to adequately demonstrate system performance. To supplement the results of the prospective clinical study, an evaluation of preselected archived retrospective synovial fluid specimens was performed at BioFire.

A total of 134 frozen archived specimens were obtained from external laboratories for testing in this evaluation: 107 specimens were expected to contain a single analyte of interest, 14 specimens were expected to contain two analytes of interest, and 13 specimens were expected to be negative for all analytes of interest. Twenty-five (25) specimens were excluded from performance analysis due to low volume (23), because they were found to be the wrong specimen type (1), or because they were discovered to be a duplicated specimen. The remaining 97 expected positives and 12 expected negatives were further analyzed.

Prior to testing with the BioFire JI Panel, the composition/integrity of the laboratoryidentified analytes in archived specimens was first confirmatory molecular methods. Confirmation testing verified the presence of 93 out of 109 expected analytes (93/109; 85.3%) in a total of 88 of the 97 expected positive specimens. Specimens with unconfirmed (or unexpected) analytes were excluded from performance calculations for that particular analyte.

Table 79: BioFire Joint Infection Panel Performance Summary for Confirmed Archived Specimens

Sensitivity/PP ASpecificity/NPA
AnalyteTP/(TP + FN)%95%CITN/(TN + FP)%95%CI
Gram Positive Bacteria
Cutibacterium avidum/granulosum3/310043.9-100%4/410051.0-100%
Enterococcus faecalis8/810067.6-100%92/9210096.0-100%
Enterococcus faeciu1/1100100/10010096.3-100%
Staphylococcus lugdunensis8/810067.6-100%94/9410096.1-100%
Streptococcus agalactiae15/1693.871.7-98.9%81/8110095.5-100%
Streptococcus pneumoniae1/1100101/10110096.3-100%
Streptococcus pyogenes3/310043.9-100%98/9810096.2-100%
Gram Negative Bacteria

{70}------------------------------------------------

AnalyteSensitivity/PPASpecificity/NPA
TP/(TP + FN)%95%CITN/(TN + FP)%95%CI
Enterobacter cloacae complex8/988.956.5-98.086/8610095.7-100%
Escherichia coli9/910070.1-100%91/9110095.9-100%
Haemophilus influenzae1/1100-6/610061.0-100%
Kingella kingae1/1100-100/10010096.3-100%
Klebsiella aerogenes1/1100-101/10110096.3-100%
Klebsiella pneumoniae group3/310043.9-100%98/9810096.2-100%
Neisseria gonorrhoeae2/210034.2-100%100/10010096.3-100%
Proteus spp.3/310043.9-100%97/9710096.2-100%
Pseudomonas aeruginosa13/1310077.2-100%87/8710095.8-100%
Salmonella spp.3/310043.9-100%98/9810096.2-100%
Serratia marcescens2/210034.2-100%99/9910096.3-100%
Candida2/210034.2-100%100/10010096.3-100%
Candida albicans1/1100-101/10110096.3-100%
CTX-M3/310043.9-100%32/3210089.3-100%

Contrived Specimen Testing

Some analytes were of insufficient prevalence in the prospective and archived specimen evaluations to adequately demonstrate system performance. Therefore, contrived clinical specimens were created to evaluate the performance of the BioFire JI Panel assays for these rare analytes. Note that results for mecA/C and MREJ (MRSA) was not rare in the prospective study, but was included in this study for the evaluation of the rare antimicrobial gene mecC. Contrived specimens (N=1235) were spiked using residual clinical samples that were pre-screened and characterized as negative for the analytes of interest. Specimens were spiked with a variety of different isolates/strains for each organism at concentrations that spanned the detection range of each assay such that approximately 50% of specimens were spiked at a near-LoD test level (i.e. within ~2-fold of the assay LoD). Due to changes in the methods used for organism quantification over the course of the study, specimens were also spiked with analytes at levels below the established LoD for each assay.

Different isolates of organisms were used from those used in analytical testing when possible. Samples positive for one analyte served as negatives for other analytes. Eighty-one (81) negative (unspiked) samples were also randomized with the spiked specimens to facilitate specimen blinding.

The results of the 1235 specimens tested in this study are summarized in Table 80 below

Table 80. BioFire Joint Infection Panel Performance Summary for Contrived Specimen Testing

{71}------------------------------------------------

AnalyteLevel TestedTP/(TP + FN)Sensitivity/PPA%95%CITN/(TN + FP)Specificity/NPA%95%CI
Gram Positive Bacteria
Anaerococcus prevotii/vaginalisa,b≥ LoD83/9389.281.3-94.1%1125/112510099.7-100%
Overall83/9587.479.2-92.6%
Clostridium perfringensc≥ LoD92/10290.282.9-94.6%1101/110110099.7-100%
Overall113/13484.377.2-89.5%
Cutibacterium avidum/granulosumd≥ LoD74/8290.281.9-95.0%1128/112810099.7-100%
Overall80/10774.865.8-82.0%
Enterococcus faecalis≥ LoD51/5110093.0-100%1182/118210099.7-100%
Overall53/5310093.2-100%
Enterococcus faeciume≥ LoD63/6596.989.5-99.2%1169/1170f99.999.5-100%
Overall63/6596.989.5-99.2%
Finegoldia magnag≥ LoD78/8789.781.5-94.5%1142/114210099.7-100%
Overall82/9388.280.1-93.3%
Parvimonas micrah≥ LoD52/5791.281.1-96.2%1158/115810099.7-100%
Overall54/7770.159.2-79.2%
Peptoniphilusi≥ LoD56/6191.882.2-96.4%1173/117310099.7-100%
Overall57/6291.982.5-96.5%
Peptostreptococcus anaerobiusj≥ LoD91/9110095.9-100%1135/113510099.7-100%
Overall98/10098.093.0-99.4%
Staphylococcus lugdunensisk≥ LoD46/4895.886.0-98.8%1184/1185f99.999.5-100%
Overall48/5096.086.5-98.9%
Streptococcus agalactiae≥ LoD58/5810093.8-100%1175/117510099.7-100%
Overall59/5910093.9-100%
Streptococcus pneumoniael≥ LoD70/7692.183.8-96.3%1152/1157f99.699.0-99.8%
Overall70/7889.781.0-94.7%
Streptococcus pyogenesm≥ LoD64/6598.591.8-99.7%1170/117010099.7-100%
Overall64/6598.591.8-99.7%
Gram Negative Bacteria
Bacteroides fragilisn≥ LoD95/9510096.1-100%1125/112510099.7-100%
Overall98/10098.093.0-99.4%
Citrobactero≥ LoD67/6997.190.0-99.2%1165/116510099.7-100%
Overall67/7095.788.1-98.5%
Enterobacter cloacae complex≥ LoD48/4810092.6-100%1185/118510099.7-100%
Overall50/5010092.9-100%
Escherichia coli≥ LoD75/7510095.1-100%1158/115810099.7-100%
Overall75/7510095.1-100%
Haemophilus influenzaep≥ LoD52/5398.190.1-99.7%1180/118010099.7-100%
Overall53/5596.487.7-99.0
Kingella kingae≥ LoD48/4810092.6-100%1185/118510099.7 -100%
Overall50/5010092.9-100%
Klebsiella aerogenesq≥ LoD97/9710096.2-100%1135/113510099.7-100%
Overall99/10099.094.6-99.8%
Klebsiella pneumoniae group≥ LoD93/9310096.0-100%1141/114110099.7-100%
Overall94/9410096.1-100%
Morganella morganiir≥ LoD59/6393.784.8-97.5%1171/117110099.7-100%
Overall59/6492.283.0-96.6%
Neisseria gonorrhoeaes≥ LoD46/4895.886.0-98.8%1178/1179f99.999.5-100%
AnalyteLevel TestedSensitivity/PPASpecificity/NPA
TP/(TP + FN)%95%CITN/(TN + FP)%95%CI
Proteus spp.tOverall47/5094.083.8-97.9%
≥ LoD52/5210093.1-100%1182/118210099.7-100%
Pseudomonas aeruginosauOverall52/5398.190.1-99.7%
≥ LoD117/11998.394.1-99.5%1105/110510099.7-100%
Salmonella spp.vOverall121/12596.892.1-98.7%
≥ LoD57/6095.086.3-98.3%1173/117310099.7-100%
Serratia marcescenswOverall59/6295.286.7-98.3%
≥ LoD53/5498.190.2-99.7%1179/117910099.7-100%
Yeast
CandidaxOverall54/5696.487.9-99.0%
≥ LoD102/10597.191.9-99.0%1126/112610099.7-100%
Candida albicansyOverall105/10996.390.9-98.6%
≥ LoD50/5198.089.7-99.7%1182/118210099.7-100%
Overall52/5398.190.1-99.7%

{72}------------------------------------------------

"Sequence variation in A. vaginalis isolates result in impaired detection near the LoD of the assay, See Table 52.

bTen Anaerococcus prevotii/vaginalis FN were observed at or above LoD and two FN were observed below LoD.

·Ten Clostridium perfringens FN were observed at or above LoD and 11 FN were observed below LoD.

dEight Cutibacterium avidum/granulosum FN were observed at or above LoD and 19 FN were observed below LoD.

eBoth Enterococcus faecium FN were observed at or above LoD.

TFP results due to background contamination in the matrix used for spiking.

8Nine Finegoldia magna FN were observed at or above LoD and two FN were observed below LoD.

below Parvimonas micra FN were observed at or above LoD and 18 FN were observed below LoD.

Five Peptoniphilus FN were observed at or above LoD.

Both Peptostreptococcus anaerobius FN were observed below LoD.

k Both Staphylococcus lugdunensis FN were observed at or above LoD.

'Six Streptococcus pneumoniae FN were observed at or above LoD and two FN were observed below LoD.

mThe Streptococcus pyogenes FN was observed above LoD.

"Both Bacteroides fragilis FN were observed below LoD.

oTwo Citrobacter FN were observed at or above LoD and one FN was observed below LoD.

POne Haemophilus influenzae FN was observed above LoD and one FN was observed below LoD.

9The Klebsiella aerogenes FN was observed below LoD.

Four Morganella morganii FN were observed at or above LoD and one FN was observed below LoD.

STwo Neisseria gonorrhoeae FN were observed at or above LoD and one FN was observed below LoD.

tThe Proteus spp. FN was observed below LoD.

"Two Pseudomonas aeruginosa FN were observed at or above LoD and two FN were observed below LoD.

·Three Salmonella spp. FN were observed at or above LoD.

"One Serratia marcescens FN was observed at or above LoD and one FN was observed below LoD.

*Three Candida FN were observed at or above LoD and one FN was observed below LoD.

The Candida albicans FN was observed above LoD.

Table 81. BioFire Joint Infection Panel Performance Summary for Contrived Specimen Testing - AMR Genes

AnalyteLevel TestedSensitivity/PPASpecificity/NPA
CTX-Ma≥ LoD149/15099.396.3-99.9%544/54410099.3-100%
Overall152/15399.396.4-99.9%

{73}------------------------------------------------

AnalyteLevel TestedSensitivity/PPASpecificity/NPA
TP/(TP + FN)%95%CITN/(TN + FP)%95%CI
IMP≥ LoD90/9010095.9-100%
IMPOverall93/9310096.0-100%603/60310099.4-100%
KPC≥ LoD77/7710095.2-100%
KPCOverall79/7910095.4-100%618/61810099.4-100%
mecA/C and MREJ (MRSA)b,c≥ LoD48/4810092.6-100%
mecA/C and MREJ (MRSA)b,cOverall49/4910092.7-100%46/53d86.875.2-93.5%
NDMe≥ LoD66/6798.592.0-99.7%
NDMeOverall66/6897.189.9-99.2%629/62910099.4-100%
OXA-48-like≥ LoD64/6410094.3-100%
OXA-48-likeOverall65/6510094.4-100%532/53210099.3-100%
vanA/B≥ LoD96/9610096.2-100%
vanA/BOverall98/9810096.2-100%18/19d94.775.4-99.1%
VIM≥ LoD79/7910095.4-100%
VIMOverall83/8310095.6-100%614/61410099.4-100%

"The CTX-M FN was observed above the host organism's LoD.

bResults were reported as N/A for the resistance marker because the host organism was reported as Not Detected. "Two different strains of Staphylococcus aureus containing mecC were used for spiking 50 contrived specimens. dFP results due to background contamination in the matrix used for spiking.

"One NDM FN was observed at or above the host organism's LoD and one FN was observed below the host organism's LoD.

12. Clinical Specificity:

See Clinical Sensitivity section above.

13. Other Clinical Supportive Data (When 1. and 2. Are Not Applicable):

Not applicable.

D Clinical Cut-Off:

Not applicable.

E Expected Values/Reference Range:

In the prospective clinical evaluation of the BioFire JI Panel, 1544 synovial fluid (SF) specimens were collected and tested at 13 study sites across the United States and Europe over approximately two years (May 2018 to March 2020). Expected values (as determined by the BioFire JI Panel) are stratified by enrollment site in Table 82.

Table 82. Expected Value (EV) as Determined by BioFire JI Panel: Summary by Site for SF Specimens Collected During the BioFire JI Panel Prospective

{74}------------------------------------------------

Overall(N=1544)Site 1(N=352)Site 2(N=88)Site 3(N=201)Site 4(N=89)Site 5(N=102)Site 6(N=87)Site 7(N=197)Site 8(N=66)Site 9(N=146)
BioFire JI PanelResult
#EV#EV#EV#EV#EV#EV#EV#EV#EV#EV
Gram Positive Bacteria
Anaerococcusprevotii/vaginalis10.1%00%00%10.5%00%00%00%00%00%00%
Clostridiumperfringens00%00%00%00%00%00%00%00%00%00%
Cutibacteriumavidum/granulosum00%00%00%00%00%00%00%00%00%00%
Enterococcusfaecalis151.0%41.1%00%63.0%00%00%11.1%10.5%11.5%00%
Enterococcusfaecium30.2%10.3%00%00%00%00%00%00%11.5%00%
Finegoldiamagna40.3%00%00%21.0%00%00%00%10.5%11.5%00%
Parvimonasmicra00%00%00%00%00%00%00%00%00%00%
Peptoniphilus20.1%00%00%10.5%00%00%11.1%00%00%00%
Peptostreptococcus anaerobius30.2%10.3%00%10.5%00%00%00%00%00%00%
Staphylococcusaureus1207.8%195.4%89.1%168.0%44.5%1312.7%2023.0%63.0%34.5%128.2%
Staphylococcuslugdunensis50.3%00%00%31.5%00%00%11.1%00%00%10.7%
Streptococcusspp.503.2%61.7%66.8%31.5%33.4%76.9%910.3%42.0%34.5%42.7%
Streptococcusagalactiae110.7%00%22.3%10.5%11.1%00%11.1%21.0%11.5%21.4%
Streptococcuspneumoniae30.2%10.3%00%00%00%11.0%11.1%00%00%00%
Streptococcuspyogenes110.7%20.6%11.1%00%22.2%00%11.1%00%23.0%00%
Gram Negative Bacteria
Bacteroidesfragilis10.1%10.3%00%00%00%00%00%00%00%00%
Citrobacter20.1%00%00%00%00%00%11.1%10.5%00%00%
Enterobactercloacae complex40.3%10.3%00%00%00%00%11.1%10.5%00%10.7%
Escherichia coli151.0%30.9%11.1%42.0%00%11.0%55.7%00%00%10.7%
Haemophilusinfluenzae20.1%10.3%00%00%00%00%11.1%00%00%00%
Kingella kingae70.5%10.3%00%10.5%00%11.0%00%00%00%00%
Overall(N=1544)Site 1(N=352)Site 2(N=88)Site 3(N=201)Site 4(N=89)Site 5(N=102)Site 6(N=87)Site 7(N=197)Site 8(N=66)Site 9(N=146)
BioFire JI PanelResult#EV#EV#EV#EV#EV#EV#EV#EV#EV#EV#EV
Klebsiellaaerogenes00%00%00%00%00%00%00%00%00%00%
Klebsiellapneumoniaegroup50.3%10.3%00%10.5%00%11.0%33.4%00%00%00%
Morganellamorganii30.2%00%00%10.5%00%00%22.3%00%00%00%
Neisseriagonorrhoeae50.3%20.6%00%00%22.2%00%11.1%00%00%00%
Proteus spp.80.5%10.3%00%52.5%00%00%22.3%00%00%00%
Pseudomonasaeruginosa50.3%10.3%00%21.0%00%00%00%10.5%00%10.7%
Salmonella spp.00%00%00%00%00%00%00%00%00%00%
Serratiamarcescens30.2%10.3%00%00%00%00%11.1%00%00%10.7%
AMR Genes
CTX-M50.3%00%00%00%00%11.0%44.6%00%00%00%
IMP00%00%00%00%00%00%00%00%00%00%
KPC00%00%00%00%00%00%00%00%00%00%
mecA/C andMREJ (MRSA)231.5%41.1%33.4%00%00%00%44.6%00%11.5%64.1%
NDM00%00%00%00%00%00%00%00%00%00%
OXA-48-like10.1%00%00%00%00%00%11.1%00%00%00%
vanA/B30.2%10.3%00%00%00%00%00%00%11.5%10.7%
VIM00%00%00%00%00%00%00%00%00%00%
Yeast
Candida50.3%00%11.1%31.5%00%00%00%00%00%10.7%
Candida albicans30.2%00%00%21.0%00%00%00%00%00%10.7%

{75}------------------------------------------------

{76}------------------------------------------------

BioFire JI PanelResult#Site 10(N=136)EV#Site 11(N=17)EV#Site 12(N=49)EV#Site 13(N=14)EV
Anaerococcusprevotii/vaginalis00%00%00%00%
Clostridiumperfringens00%00%00%00%
Cutibacteriumavidum/granulosum00%00%00%00%
Enterococcusfaecalis00%00%00%00%
Enterococcusfaecium00%00%00%00%
Finegoldia magna00%00%00%00%
Parvimonas micra00%00%00%00%
Peptoniphilus00%00%00%00%
Peptostreptococcusanaerobius00%00%00%00%
Staphylococcusaureus42.9%317.6%918.4%321.4%
Staphylococcuslugdunensis00%00%00%00%
Streptococcus spp.21.5%15.9%12.0%17.1%
Streptococcusagalactiae10.7%00%00%00%
Streptococcuspneumoniae00%00%00%00%
Streptococcuspyogenes00%15.9%12.0%17.1%
Bacteroides fragilis00%00%00%00%
Citrobacter00%00%00%00%
Enterobactercloacae complex00%00%00%00%
Escherichia coli00%00%00%00%
Haemophilusinfluenzae00%00%00%00%
Kingella kingae00%00%48.2%00%
Klebsiellaaerogenes00%00%00%00%
Klebsiellapneumoniae group00%00%00%00%
Morganellamorganii00%00%00%00%

{77}------------------------------------------------

BioFire JI PanelResultSite 10(N=136)Site 11(N=17)Site 12(N=49)Site 13(N=14)
#EV#EV#EV#EV
Neisseriagonorrhoeae00%00%00%00%
Proteus spp.00%00%00%00%
Pseudomonasaeruginosa00%00%00%00%
Salmonella spp.00%00%00%00%
Serratiamarcescens00%00%00%00%
CTX-M00%00%00%00%
IMP00%00%00%00%
KPC00%00%00%00%
mecA/C and MREJ(MRSA)21.5%00%24.1%17.1%
NDM00%00%00%00%
OXA-48-like00%00%00%00%
vanA/B00%00%00%00%
VIM00%00%00%00%
Candida00%00%00%00%
Candida albicans00%00%00%00%

{78}------------------------------------------------

In addition, the observed multiple detections (as determined by the BioFire JI Panel) during the prospective clinical evaluation are presented in Table 15. At least one organism was detected in a total of 242 SF specimens (15.7% positivity rate: 242/1544). Polymicrobial detections of up to seven organisms were observed.

BioFire JI PanelOrganism ResultExpected Value (as Determinedby Testing of 1544 Prospective SFSpecimens)
NumberDetectedand Reported% of Total(% of Positives)
Detected (at least oneresult)24215.7%(100%)
One analyte result22614.6%(93.4%)
Two analyte results120.8%(5.0%)
Three analyte results20.1%(0.8%)
More than three organismresults2a0.1%(0.8%)

Table 83: Expected Values Multiple Detections as Determined by the BioFire JI Panel for the BioFIre JI Panel Clinical Evaluation (Mav 2018 - March 2020)

ªOne specimen had six organisms and one specimen had seven organisms observed

The BioFire JI Panel reported a total of 16 specimens with discernible detection of multiple organisms (1.0% of all specimens, 16/1544; and 6.6% of positive specimens, 16/242). The different types of co-detections (categorized by gram stain classification) as reported by the BioFire JI Panel are presented in Table 98 below. The resulting co-detection analyte combinations are presented in Table 99. This table also indicates the number of specimens with false positive (FP) results for each co-detection combination, as well as the specific analytes that were discrepant. FP results were determined by comparison only to the primary comparator method (e.g., standard of care (SOC) culture for organisms, and molecular comparator for the antimicrobial resistance (AMR) genes, irrespective of host organism SOC culture results).

Table 84: Expected Values (Co-detection Types as Determined by the BioFIre JI Panel for the BioFire JI Panel Prospective Clinical Evaluation

{79}------------------------------------------------

BioFire JI Panel Co-Detection TypePositive Specimens (N =16)
#EV
Gram Positive + GramPositive425.0%
Gram Positive + GramNegative956.3%
Gram Positive + Yeast00%
Gram Negative + GramNegative212.5%
Gram Negative + Yeast'16.3%
Gram Positive + GramNegative + Yeast00%

Table 85: Co-detection Combinations as Determined by the BioFire JI Panel, Prospective Study

{80}------------------------------------------------

Analyte1Analyte2Analyte3Analyte4Analyte5Analyte6Analyte 7AMRGene(s)TotalSpecimenswith Co-DetectionCombination#Specimenswith FalsePositiveCo-Detections*False PositiveAnalyte(s)
E. faecalisF. magnaK.pneumoniaegroupM.morganiiPeptoniphilusProteus spp.P.anaerobius-11F. magna, M.morganii,Peptoniphilus, P.anaerobius
E. cloacaecomplexE. faecalisH.influenzaeK. KingaeStreptococcusspp., S.pneumoniaeStreptococcuss spp., S.pyogenes--11H. influenzae, K.kingae
A.prevotii/vaginalisF. magnaStreptococcuss spp.-----10-
E. coliE. faeciumProteus spp.----vanA/B11E. faecium, Proteusspp.
B. fragilisP.anaerobius------11B. fragilis, P.anaerobius
Candida, C.albicansE. cloacaecomplex------11E. cloacae complex
E. faecalisProteus spp.------10-
E. faecalisS. aureus-----mecA/C andMREJ(MRSA)10-
E. coliProteus spp.------10-
E. coliS. aureus-----CTX-M,mecA/C, andMREJ(MRSA)11S. aureus
K. kingaeS. aureus------11K. kingae, S. aureus
K.pneumoniaegroupM. morganii------11K. pneumoniae group,M. morganii
Proteus spp.S.lugdunensis------11Proteus spp., S.lugdunensis
S.marcescensS. aureus------11S. marcescens
S. aureusStreptococcuss spp., S.agalactiae------10-
S. aureusStreptococcuss spp., S.pyogenes------10-
Total Co-Detections161121/43ª
Total Double Detections12813/24
Total Quintuple Detections212/6
Total Sextuple Detections112/6

8 Determined by comparison to SOC culture for organisms, and molecular methods for AMR genes, irrespective of host organism SOC culture results

b. Of the 21 discrepant analytes (out of 43 total analytes), 20 (95.2%) were confirmed as being present in the specimen during discrepancy investigation: 2/20 (10.0%) were identified from additional laboratory testing performed as SOC and 18/20 (90.0%) were observed using an independent molecular method (59.9%) were detected by qMol, 17/187 (9.1%) were detected using an additional molecular method, and the remaining 3/187 (1.6%) were identified in SOC culture.

Other Supportive Performance Characteristics Data: F

Not applicable.

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VII Proposed Labeling:

The labeling supports the decision to grant the De Novo request for this device.

Identified Risks and Mitigations:
Identified Risks to HealthMitigation Measures
Risk of false test results leading to improperpatient managementUse of certain specimen collection devicesidentified in special control (1).Certain labeling information identified inspecial control (2), including limitations,warnings, device descriptions, explanation ofprocedures, and performance informationidentified in special controls (3)(iii) and(3)(iv).Certain design verification and validationidentified in special control (3), includingdocumentation of certain analytical studies andclinical studies and device descriptions.
Failure to correctly interpret test results leadingto misdiagnosis and associated risk of false testresultsCertain labeling information identified inspecial control (2), including limitations,warnings, device descriptions, explanation ofprocedures, and performance informationidentified in special controls (3)(iii) and(3)(iv).Certain design verification and validationidentified in special control (3), includingdocumentation of certain analytical studiesand clinical studies and device descriptions.
Failure to correctly operate the device leadingto false test results or incorrect interpretationof test resultsUse of certain specimen collection devicesidentified in special control (1).Certain labeling information identified inspecial control (2), including limitations,warnings, device descriptions, explanation ofprocedures, and performance informationidentified in special controls (3)(iii) and(3)(iv).Certain design verification and validationidentified in special control (3), includingdocumentation of certain analytical studiesand clinical studies and device descriptions.

VIII Identified Risks and Mitigations:

IX Benefit/Risk Assessment:

A Summary of the Assessment of Benefit:

The benefit of the assay is aiding in the accurate diagnosis of specific agents of joint infections in conjunction with other clinical and laboratory findings. The BioFire Joint Infection Panel

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simultaneously detects and identifies nucleic acids from multiple different pathogens as well as eight antimicrobial resistance genes in a platform that provides results in about an hour which is a significant improvement over standard microbiological methods. Aiding in the diagnosis of specific agents of joint infection and identification of genes associated with antimicrobial resistant strains may identify patients for which treatment may be appropriate, including, but not limited to, antibiotic therapy and revision surgery, if the infection is tied to a prosthetic joint. Appropriate treatment of prosthetic joint infection can lead to alleviation of symptoms associated with infection and restoration of joint function.

B Summary of the Assessment of Risk:

The risks associated with the device, when used as intended, are those related to the risk of false test results, the failure to correctly interpret test results, and failure to correctly operate the device.

The risk of a false positive test result is improper patient management, including inappropriate administration of unnecessary antibiotics or anti-fungal medications. Inappropriate administration of antibiotics is associated with toxicity, allergic reactions, and other adverse outcomes including secondary infections such as C. difficile colitis.

The risk of a false negative test result is delaved identification of the cause of the disease in the patient, which could lead to improper patient management, including administration of unnecessary treatment and/or delay or discontinuation of appropriate treatment. An undiagnosed infection or delayed diagnosis could result in increased morbidity and mortality.

Failure to correctly operate the device can lead to false test results. Failure to correctly interpret test results can lead to erroneous results (i.e., false positives, false negatives), with the same risks discussed above.

C Patient Perspectives:

Not applicable.

D Summary of the Assessment of Benefit-Risk:

General controls are insufficient to mitigate the risks associated with the device. However, the clinical benefits outweigh the risks for the proposed assay, considering the mitigations of the risks provided by the special controls established for this device, as well as general controls. The required special controls will help ensure that errors will be uncommon and will facilitate accurate assay implementation and interpretation of results. The clinical performance observed in the clinical trial suggests that errors will be uncommon and that the assay will provide substantial benefits to patients in the diagnosis of joint infection and when used in conjunction with other clinical and diagnostic findings.

The risk of false test results (both positive) is mitigated by the intended use clearly stating that the assay results are intended to be used with other clinical and laboratory findings which include standard of care culture to identify organisms and antimicrobial susceptibility testing. The risk of false results is also mitigated by the inclusion of performance characteristics. from analytical and clinical studies in the labeling.

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Risks of failure to correctly interpret the test results are mitigated through the inclusion in the labeling of a detailed description of what the device detects, the specimen type for which testing is indicated, the type of results provided to the user in the intended use statement, as well as a detailed explanation of the interpretation of results. Finally, the risk of failure to correctly operate the device is mitigated by the inclusion of detailed directions for use in the package insert, such that the operator can successfully use the instrument.

The clinical performance observed in the clinical studies suggests that errors will be uncommon and that the assay will provide substantial benefits to patients in the diagnosis of joint infection when used in conjunction with other clinical and diagnostic findings.

Given the combination of the device's indications for use, labeling, the required general controls, and the special controls established for this device, the benefits outweigh the risks.

X Conclusion:

The De Novo request is granted and the device is classified under the following:

Product Code(s): QSN Device Type: Device to detect and identify microorganism nucleic acids and resistance markers from patients with suspected orthopedic infection Class: II Regulation:21 CFR 866.3988

N/A