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510(k) Data Aggregation

    K Number
    K960084
    Manufacturer
    Date Cleared
    1996-04-04

    (84 days)

    Product Code
    Regulation Number
    862.1345
    Reference & Predicate Devices
    N/A
    Why did this record match?
    Device Name :

    HICHEM GLUCOSE/HK REAGENT KIT

    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    HiChem Glucose/HK Reagent (product no. 70007) is for the quantitative determination of glucose in serum, plasma, cerebrospinal fluid and urine.

    Device Description

    The HiChem Glucose/HK Reagent determines glucose by enzymatic phosphorylation using ATP in the presence of hexokinase. The extent of this reaction, and the quantity of glucose in the specimen, is determined through the measurement of the resulting glucose-o-phosphate by producing NADH in the presence of glucose-o-phosphate dehydrogenase. The reagent is supplied as two liquid-stable components which are combined, either before or during use, in the approximate ratio of 1 part Glucose Enzyme Reagent and 8 parts Glucose Reagent Buffer. The Glucose Enzyme Reagent can also be used as a start reagent and combined with the Reagent Buffer following sample addition.

    AI/ML Overview

    Here's an analysis of the provided text regarding the HiChem Glucose/HK Reagent, focusing on acceptance criteria and supporting studies.

    Based on the provided document, the device is a reagent for quantitative determination of glucose. The "acceptance criteria" can be inferred from the performance characteristics presented for both manual and automated methods, as the goal is to demonstrate substantial equivalence to predicate devices. The study is a series of laboratory experiments designed to characterize the reagent's performance.


    1. Table of Acceptance Criteria and Reported Device Performance

    The document doesn't explicitly state "acceptance criteria" as a distinct set of pass/fail thresholds. Instead, it presents performance characteristics (linearity, precision, and correlation with predicate devices) which are implicitly the metrics by which its performance is deemed acceptable and substantially equivalent to existing devices.

    Inferred Acceptance Criteria & Reported Device Performance

    Performance CharacteristicInferred Acceptance Standard (Qualitative / Implied)Reported HiChem Glucose/HK Reagent Performance (Manual Method)Reported HiChem Glucose/HK Reagent Performance (Automated Method on Hitachi 704)
    LinearityShould be linear over clinically relevant range and comparable to predicate.Linear to at least 500 mg/dL: (HiChem Results) = 2.1 mg/dL + 0.9769 x (Standard Value), r = 0.9999, Sy.x = 2.6 mg/dL.Linear to at least 1000 mg/dL: (HiChem Results) = 1.4 mg/dL + 0.986 × (Standard Value), r = 1.0000, Sy.x = 2.7 mg/dL.
    PrecisionAcceptable within-run and total SD for various glucose levels in different specimen types. (Comparison to predicate implied)See Table below for detailed values.See Table below for detailed values.
    Method Comparison (Serum/Plasma)Strong correlation (high r-value, low Sy.x) and minimal bias with predicate (Boehringer Mannheim Corp. (BMD) Glucose/HK Reagent or Sigma Glucose (HK) Reagent).Vs. Sigma: (HiChem Results) = 0.2 mg/dL + 1.013 x (Sigma Results), r = 0.999, Sy.x = 2.3 mg/dL.Vs. BMD: (HiChem Results) = -1.1 mg/dL + 1.004 × (BMD Results), r = 0.999, sy.x = 1.61 mg/dL.
    Method Comparison (Urine)Strong correlation (high r-value, low Sy.x) and minimal bias with predicate (BMD Glucose/HK Reagent).Vs. BMD: (HiChem Results) = 4.1 mg/dL + 0.944 x (BMD Results), r = 0.998, Sy.x = 5.58 mg/dL.Vs. BMD: (HiChem Results) = -1.4 mg/dL + 0.989 × (BMD Results), r = 0.999, sy.x = 3.3 mg/dL.
    Method Comparison (CSF)Strong correlation (high r-value, low Sy.x) and minimal bias with predicate (BMD Glucose/HK Reagent).Vs. BMD: (HiChem Results) = 1.9 mg/dL + 0.972 x (BMD Results), r = 0.997, Sy.x = 1.8 mg/dL.Vs. BMD: (HiChem Results) = 0.1 mg/dL + 0.978 × (BMD Results), r = 0.999, sy.x = 1.1 mg/dL.
    Interfering SubstancesBiases due to common additives (heparin, EDTA, fluoride, oxalate, iodoacetate) should be minimal.Biases observed were less than 2 mg/dL.(Not explicitly stated for automated method, implied similar)
    Reagent StabilityReagent performance should remain stable over claimed storage periods (combined working reagent).Observed shifts in standard recovery were less than 1.8% over 3 months at 2-8℃ and 10 days at 18-25℃.(Not explicitly stated for automated method specific reagent stability, but overall performance shown to be stable).
    Calibration StabilityCalibration should remain stable over claimed period.(Not explicitly stated for manual method)Observed shifts in recoveries over 47 days without calibration were less than the greater of 2 mg/dL or 2%.

    Detailed Precision Tables:

    Manual Method Precision:

    Specimennmeanwithin run SDtotal SD
    Low serum control3095.6 mg/dL0.89 mg/dL2.77 mg/dL
    High serum control30296.1 mg/dL2.78 mg/dL4.41 mg/dL
    Low urine pool3018.7 mg/dL0.75 mg/dL1.50 mg/dL
    High urine pool30274.2 mg/dL2.10 mg/dL6.95 mg/dL
    Low CSF control3059.8 mg/dL0.78 mg/dL2.9 mg/dL
    High CSF control3041.9 mg/dL1.11 mg/dL2.8 mg/dL

    Automated Method Precision (Hitachi 704):

    Specimennmeanwithin run SDtotal SD
    Low serum control6086.5 mg/dL0.68 mg/dL1.07 mg/dL
    Mid. serum control60294.0 mg/dL1.18 mg/dL2.09 mg/dL
    High serum control60577.5 mg/dL2.18 mg/dL5.39 mg/dL
    Low urine pool6023.5 mg/dL0.67 mg/dL0.77 mg/dL
    High urine pool60669.5 mg/dL2.41 mg/dL4.88 mg/dL
    Low CSF control5833.6 mg/dL1.02 mg/dL1.13 mg/dL
    High CSF control5957.2 mg/dL0.78 mg/dL1.26 mg/dL

    2. Sample Sizes Used for the Test Set and Data Provenance

    The document describes several test sets for different aspects of performance:

    • Linearity (Manual & Automated): "Linearity standards" were used. The exact number of points or replicates per point for these standards is not specified.
    • Precision (Manual):
      • Low serum control: n = 30 replicates
      • High serum control: n = 30 replicates
      • Low urine pool: n = 30 replicates
      • High urine pool: n = 30 replicates
      • Low CSF control: n = 30 replicates
      • High CSF control: n = 30 replicates
    • Precision (Automated):
      • Low serum control: n = 60 replicates
      • Mid. serum control: n = 60 replicates
      • High serum control: n = 60 replicates
      • Low urine pool: n = 60 replicates
      • High urine pool: n = 60 replicates
      • Low CSF control: n = 58 replicates
      • High CSF control: n = 59 replicates
    • Method Comparison (Manual):
      • Serum and plasma: 80 mixed specimens
      • Spiked urine specimens: 36 specimens
      • CSF specimens: 37 specimens
    • Method Comparison (Automated):
      • Mixed serum and plasma specimens: 105 specimens
      • Spiked urine specimens: 56 specimens
      • CSF specimens: 40 specimens
    • Interfering Substances: "Spiked and unspiked serum pools" were used. The number of pools or replicates is not specified.
    • Reagent Stability: "Serum controls and linearity standards" were used. The number of samples/measurements is not specified.
    • Calibration Stability: "Serum controls" were used. The number of samples/measurements is not specified.

    Data Provenance: The document does not specify the country of origin of the data. Given the context of a 510(k) submission in the US, it is likely the studies were conducted in the US, but this is not explicitly stated. The data is retrospective in the sense that existing samples (control sera, urine pools, patient specimens) were likely used in a laboratory study, rather than being collected prospectively for the sole purpose of this study.


    3. Number of Experts Used to Establish the Ground Truth for the Test Set and Their Qualifications

    This document describes a diagnostic reagent for quantitative measurement of glucose, not an imaging or diagnostic device that requires expert interpretation. Therefore, the concept of "experts used to establish the ground truth" in the sense of physicians or radiologists making diagnoses is not directly applicable.

    Instead, the "ground truth" for this type of device is established by:

    • Known concentrations: For linearity and control materials.
    • Reference methods/predicate devices: The comparative methods used to determine equivalence (Sigma Glucose (HK) Reagent and BMD Glucose/HK Reagent) serve as the "ground truth" or reference for patient sample comparisons. These predicate devices are established diagnostic tools, and their results are accepted as clinically valid.

    Qualifications: The qualifications of the personnel performing the laboratory tests (e.g., medical technologists, clinical chemists) would be relevant but are not detailed in this summary.


    4. Adjudication Method for the Test Set

    Adjudication methods (e.g., 2+1, 3+1) are typically used for studies involving human interpretation where discrepancies need to be resolved (e.g., in radiology studies). This is a laboratory reagent study for quantitative measurement. Therefore, an adjudication method for a "test set" in the traditional sense is not applicable. The data are numerical measurements; disagreements would typically be resolved through repeat testing, calibration verification, or troubleshooting laboratory procedures.


    5. If a Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study Was Done

    No, an MRMC comparative effectiveness study was not done.
    MRMC studies are relevant for diagnostic devices that involve human interpretation (e.g., radiologists reading images). This device is a reagent for automated/manual biochemical measurement. There are no human "readers" involved in interpreting the output of this reagent in the way an MRMC study would assess. The comparison is between the new reagent's numerical output and that of established predicate reagents.


    6. If a Standalone (Algorithm Only Without Human-in-the-Loop Performance) Was Done

    The performance presented is essentially standalone in the sense that it evaluates the reagent's analytical performance on its own, either manually or when integrated with an automated analyzer (Hitachi 704). There is no "human-in-the-loop performance" in the traditional sense of a human interpreting the device's output to make a diagnosis and then comparing that to the device acting alone. The device provides the measurement, and a human uses that measurement in a clinical context. The performance data is the "algorithm only" (reagent only) performance regarding its ability to accurately measure glucose.


    7. The Type of Ground Truth Used

    The ground truth used for this device can be categorized as:

    • Reference Standards/Known Concentrations: For linearity assessments, precision studies (using control materials with established concentration ranges), and stability studies.
    • Predicate Device/Reference Method: For method comparison studies, the results obtained from the established predicate devices (Sigma Glucose (HK) Reagent and BMD Glucose/HK Reagent) are used as the reference values against which the HiChem Glucose/HK Reagent's performance is compared. This is a common and accepted method for demonstrating substantial equivalence for in vitro diagnostic devices.

    8. The Sample Size for the Training Set

    This document does not specify a "training set." This is typical for a traditional analytical performance study of an in vitro diagnostic reagent. "Training sets" are most commonly associated with machine learning or AI models, where data is used to train an algorithm. For a biochemical reagent, its performance characteristics (linearity, precision, accuracy) are inherent to its chemical formulation and reaction principles, not derived from a data-driven training process. The studies described are validation studies, not training studies.


    9. How the Ground Truth for the Training Set Was Established

    As there is no "training set" in the context of an AI/ML algorithm, this question is not applicable. The 'truth' for the development of reagent performance would come from the biochemical principles of the hexokinase method itself and iterative optimization of the reagent formulation, which is not detailed in this summary.

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