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The ABL90 FLEX PLUS System is an in vitro diagnostic, portable, automated analyzer that quantitatively measures electrolytes (cK+, cNa+, cCa2+), glucose, and lactate in heparinized arterial and venous whole blood.

The ABL90 FLEX PLUS System is intended for use by trained technologists, nurses, physicians and therapists. It is intended for use in a laboratory environment, near patient, or point-of-care setting. These tests are only performed under a physician's order.

Potassium (cK+): Potassium measurements are used to monitor electrolyte balance in the diagnosis and treatment of disease conditions characterized by low or high blood potassium levels.

Sodium (cNa+): Sodium measurements are used in the diagnosis and treatment of aldosteronism, diabetes insipidus, adrenal hypertension, Addison's disease, delydration, inappropriate antidiuretic secretion, or other diseases involving electrolyte imbalance.

Calcium (cCa2+): Calcium measurements are used in the diagnosis and treatment of parathyroid disease, a variety of bone diseases, chronic renal disease and tetany.

Glucose (cGlu): Glucose measurements are used in the diagnosis and treatment of carbohydrate metabolism disorders including diabetes mellitus and idiopathic hypoglycemia, and of pancreatic islet cell carcinoma.

Lactate (cLac): The lactate measure the concentration of lactate. Lactate measurements are used to evaluate the acid-base status and are used in the diagnosis and treatment of lactic acidity of the blood).

The ABL90 FLEX PLUS System consists of the ABL90 FLEX PLUS analyzer, sensor cassette and solution pack consumables, and related accessories for the analyzers. The ABL90 FLEX PLUS is a portable, automated system intended for in vitro testing of samples of balanced heparinized whole blood for electrolytes (cK+, cNa*, cCa²), glucose, and lactate. The ABL90 FLEX PLUS System has an automated sample inlet mechanism, which can collect blood through two different measuring modes: the S65 syringe mode and the SP65 short probe mode.

The provided text is a 510(k) Summary for the ABL90 FLEX PLUS System, an in vitro diagnostic device. This document focuses on demonstrating substantial equivalence to a legally marketed predicate device (ABL90 FLEX) rather than proving the device meets specific acceptance criteria as might be defined for a novel AI/ML device.

Therefore, much of the requested information regarding acceptance criteria for AI/ML performance, study design (test set, ground truth establishment, expert adjudication, MRMC studies, standalone performance, training set details) is not applicable to this type of device and its regulatory submission.

The document primarily proves the analytical performance of the new device is comparable to the predicate device through various analytical studies.

Here's a breakdown of the applicable information based on the provided text, and an explanation of why other requested information is not present:

1. A table of acceptance criteria and the reported device performance

The document does not explicitly present "acceptance criteria" in a pass/fail table for each performance metric in the way it might for a novel AI/ML device. Instead, it presents analytical performance data (linearity, precision, detection, method comparison, interference) which is implicitly compared against pre-defined internal specifications or what is considered acceptable for the similar predicate device. The goal is to show the new device performs equivalently to the predicate.

Below is a summary of the reported device performance from the tables in the document. The "Acceptance Criteria" column cannot be fully populated as precise numerical thresholds are not explicitly stated as "acceptance criteria" in this 510(k) summary, but are rather implied by the successful demonstration of performance often within CLSI guidelines and comparable to the predicate.

2. Sample size used for the test set and the data provenance (e.g. country of origin of the data, retrospective or prospective)

• Test Set (for performance validation):
  • Linearity: The specific number of samples tested for linearity is not explicitly stated as 'N' values in Table 1 but ranges presented (e.g., 1.896-11.146 for cCa2+) imply a sufficient number of points across the range were used.
  • Detection (LoB, LoD, LoQ): Not explicitly stated as 'N' values in Table 2.
  • Precision (using stable, aqueous ampoule-based QC material): Varies per parameter/level, but generally 243-244 replicates (N) per parameter/level.
  • Precision (using blood): Varies per parameter/mode/interval, ranging from 2 to 202 replicates (N).
  • Method Comparison:
    • Arterial blood (S65 mode): 221-225 samples (N) across parameters.
    • Arterial blood (SP65 mode): 214-218 samples (N) across parameters.
    • Venous blood (S65 mode): 231-234 samples (N) across parameters.
    • Venous blood (SP65 mode): 219-225 samples (N) across parameters.
    • Combined (S65 mode): 436-441 samples (N) for combined arterial/venous.
    • Combined (SP65 mode): 420-425 samples (N) for combined arterial/venous.
  • Interference: "Large panel of likely interferents" for paired-difference study; dose-response studies for significant interferents. Specific sample sizes for each interferent are not detailed in the summary.
• Data Provenance: The document states that precision studies using QC material were conducted at "three external sites." Method comparison and precision studies using blood were conducted using both arterial and venous blood, and in both sample collection modes. The country of origin for the data (patients or samples) is not specified in this summary. The studies are described as "analytical performance testing," implying they are prospective or controlled laboratory studies rather than retrospective analysis of existing clinical data.

3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts (e.g. radiologist with 10 years of experience)

• Not Applicable: This device is an in vitro diagnostic (IVD) analyzer that quantitatively measures analytes. Its performance is evaluated against reference measurement procedures or highly controlled materials, not by expert interpretation of images or clinical cases requiring expert consensus or qualifications. Ground truth is established by the reference method itself or the known concentration of QC materials.

4. Adjudication method (e.g. 2+1, 3+1, none) for the test set

• Not Applicable: As this is an IVD device measuring quantitative analytes, there is no expert adjudication process in this context, unlike an AI/ML device interpreting medical images. Performance is determined by comparison to reference methods or statistical analysis against known values.

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

• Not Applicable: This is an IVD analyzer, not an AI/ML device that assists human readers. Therefore, an MRMC study is not relevant to its regulatory approval process.

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

• Partially Applicable (in a different sense): The ABL90 FLEX PLUS System is a standalone automated analyzer. Its performance is measured directly (algorithm only, if you consider the device's internal measurement algorithm) against reference methods or known concentrations, without a human-in-the-loop interpretation being the primary output that's being evaluated for accuracy. The results presented (linearity, precision, method comparison) are representative of its standalone performance.

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

• Quantitative Reference Methods / Known Concentrations:
  • Linearity/Detection: Ground truth is established by preparing samples with known, precise concentrations across the measurement range, or by the inherent properties of the measurement system for LoB/LoD/LoQ.
  • Precision: Ground truth is the expected value of the quality control (QC) materials or the prepared blood samples, or simply the reproducibility of measurements on the same sample.
  • Method Comparison: Ground truth is the measurement from the legally marketed predicate device (ABL90 FLEX, specifically "ABL90 FLEX PLUS analyzer as it was designed at the time of the clearance of K160153") that the new device is being compared against. This device itself serves as the "reference method" for substantial equivalence.
  • Interference: Ground truth is the expected measurement of known samples, with and without the interferent, using a reference method, to identify if the interferent causes a clinically significant deviation.

8. The sample size for the training set

• Not Applicable (in the AI/ML sense): This document describes the analytical validation of a traditional IVD device, not an AI/ML algorithm. There is no "training set" in the machine learning sense for this type of submission. The device is a physical instrument with established chemical/electrochemical measurement principles.

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

• Not Applicable: As there is no "training set" in the AI/ML context, this question is not relevant. The device's internal parameters and calibration would be established through a manufacturing and calibration process, not through a "training" phase with a ground truth dataset in the way an AI model is trained.

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The ABL90 FLEX analyzer is an in vitro diagnostic, portable, automated analyzer that quantitatively measures neonatal bilirubin in heparinized capillary, venous and arterial whole blood.
The ABL90 FLEX analyzer is intended for use by trained technologists, nurses, physicians and therapists.
It is intended for use in a laboratory environment, near patient or point-of-care setting.
These tests are only performed under a physician's order.
Bilirubin measurements on the ABL90 FLEX analyzer are intended to aid in assessing the risk of kernicterus in neonates.

ABL90 FLEX PLUS:
The ABL90 FLEX PLUS analyzer is an in vitro diagnostic, portable, automated analyzer that quantitatively measures neonatal bilirubin in heparinized capillary, venous and arterial whole blood.
The ABL90 FLEX PLUS analyzer is intended for use by trained technologists, nurses, physicians and therapists.
It is intended for use in a laboratory environment, near patient or point-of-care setting.
These tests are only performed under a physician's order.
Bilirubin measurements on the ABL90 FLEX PLUS analyzer are intended to aid in assessing the risk of kernicterus in neonates.

The ABL90 FLEX and ABL90 FLEX PLUS analyzers are two models of the same portable, automated system intended for in vitro testing of samples of whole blood for the parameters pH, pO-, pCO3, potassium, sodium, calcium, chloride, glucose, lactate, neonatal bilirubin, and co-oximetry parameters (total hemoglobin, oxygen saturation, and the hemoglobin fractions FO-Hb, FCOHb, FMetHb, FHHb and FHbF).
The manufacturer of the ABL90 FLEX and ABL90 FLEX PLUS is Radiometer Medical ApS.
The ABL90 FLEX and ABL90 FLEX PLUS consist of an instrument with a sensor cassette and a solution pack as the main accessories. Multiple models of sensor cassettes are available.
The various sensor cassette models for different parameter combinations. For each parameter combination, models allowing for different test load are available.
The solution pack is available in two models differing in the number of tests available.
Technology:
The ABL 90 FLEX and ABL90 FLEX PLUS electrochemical sensors are miniaturized, manufactured by film technology and integrated in a common sensor cassette. Likewise, the ABL90 FLEX and ABL90 FLEX PLUS optical oxygen sensor is integrated in the sensor cassette. A 256-pixel array spectrophotometer is used for the co-oximetry parameters and bilirubin.
Clinical Utility ctBil:
For newborns up to an age of one month the method's reportable range covers the entire reference range. Neonatal Bilirubin test is intended for use to aid in assessing the risk of kernicterus in newborns.

The provided document is a 510(k) Premarket Notification from the FDA regarding the ABL90 FLEX and ABL90 FLEX PLUS devices for measuring neonatal bilirubin. It primarily focuses on demonstrating substantial equivalence to a predicate device, rather than defining and proving acceptance criteria as typically done for novel AI/ML medical devices.

Therefore, many of the requested points related to acceptance criteria, ground truth establishment, expert consensus, MRMC studies, and training sets are not applicable to this type of submission. This 510(k) is for an in-vitro diagnostic device that measures a chemical parameter (bilirubin) using established spectrophotometric technology, not an AI/ML-driven diagnostic or image analysis tool. The "performance" being evaluated is the analytical performance (accuracy, precision, linearity) of the device against a known predicate and reference methods, not the diagnostic performance of an algorithm.

However, I can extract the relevant information from the document that pertains to its performance evaluation.

Overview of Device Performance Evaluation (Not AI/ML focused)

The ABL90 FLEX and ABL90 FLEX PLUS analyzers are in vitro diagnostic devices designed to quantitatively measure neonatal bilirubin in heparinized capillary, venous, and arterial whole blood. The submission aims to extend the indicated sample types for neonatal bilirubin measurement to include arterial and venous whole blood, leveraging performance data already established for capillary whole blood in a previous 510(k) (K132691).

The core of the performance study for this specific submission is demonstrating method comparison (correlation) against a predicate device (ABL800 FLEX or ABL835 FLEX, which is part of the ABL800 FLEX family) for the new sample types.

Relevant Performance Information and Analysis (from the provided document):

1. A table of acceptance criteria and the reported device performance:

   • Acceptance Criteria: Not explicitly stated as pass/fail thresholds in this document for the method comparison study. The goal is to demonstrate "substantial equivalence" based on the correlation characteristics (slope, intercept, R-squared) to the predicate device. The implicit acceptance is that the correlation is strong (R-squared close to 1) and the linear relationship is close to y=x (slope close to 1, intercept close to 0), indicating comparable performance to the predicate. The FDA's determination of substantial equivalence implies these criteria were met.

   • Reported Device Performance (from Table 1: Neonatal bilirubin linear regression data for ABL90 FLEX measurements compared to ABL835 FLEX measurements):

     Parameter	Units	Slope	Intercept (mg/dL)	R²	Sy.x (mg/dL)
     ctBil All (combined samples)	mg/dL	0.97	-0.38	1.00	0.60
     ctBil Arterial All	mg/dL	0.98	-0.54	0.97	0.53
     ctBil Venous All	mg/dL	0.98	-0.32	0.98	0.62
     ctBil site 1	mg/dL	0.96	-0.18	1.00	0.57
     ctBil site 2	mg/dL	0.98	-0.71	1.00	0.58

   Interpretation: The R-squared values are very high (0.97 to 1.00), indicating a very strong linear correlation between the ABL90 FLEX and the predicate ABL835 FLEX. The slopes are close to 1 (0.96-0.98) and intercepts are close to 0 (-0.18 to -0.71 mg/dL), suggesting good agreement (i.e., minimal proportional or constant bias) between the new device and the predicate.

2. Sample size used for the test set and the data provenance:

   • Test Set Sample Sizes:
     • 44 arterial blood samples
     • 42 venous blood samples
     • 17 spiked cord blood samples
     • Total N = 103 samples (44 arterial + 42 venous + 17 spiked)
   • Data Provenance: The study was conducted at "two point-of-care sites." The document does not specify the country of origin of the data. It is a prospective method comparison study where new measurements were taken for the purpose of this submission.

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

   • Not applicable in the context of an AI/ML algorithm. For this in vitro diagnostic device, the "ground truth" for the method comparison is the measurement obtained from the predicate device (ABL835 FLEX), which is itself a validated diagnostic instrument. This is an analytical performance study, not a diagnostic performance study relying on expert interpretation.

4. Adjudication method for the test set:

   • Not applicable. This study involves direct quantitative measurements of a chemical analyte, not qualitative assessments or interpretations that would require adjudication.

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:

   • Not applicable. This is an in vitro diagnostic device measuring a chemical substance, not an AI-assisted diagnostic tool that would involve human readers interpreting images or data.

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

   • This is inherently a "standalone" device in its measurement function. The device itself performs the measurement and provides a numerical output. Human involvement is in operating the device and interpreting the numerical result in a clinical context, but not in assisting an algorithm to produce the measurement.

7. The type of ground truth used:

   • The "ground truth" (or reference method for comparison) was measurements obtained from another legally marketed device (predicate device, ABL835 FLEX), which is widely considered a reliable method for bilirubin measurement. For in vitro diagnostics, this is a standard approach to demonstrating substantial equivalence – showing comparable performance to an established method.

8. The sample size for the training set:

   • Not applicable. This device uses established spectrophotometric technology and is not an AI/ML device that requires a training set in the conventional sense. The "training" here would be the design and calibration of the instrument based on chemical and optical principles.

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

   • Not applicable. As above, no training set in the AI/ML sense.

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