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510(k) Data Aggregation

    K Number
    K090854
    Date Cleared
    2009-04-16

    (17 days)

    Product Code
    Regulation Number
    862.1660
    Reference & Predicate Devices
    Predicate For
    N/A
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    For in vitro diagnostic use (i.e. for external use only) by healthcare professionals and in the home by people with diabetes mellitus to assess the performance of the Contour TS Blood Glucose Monitor.

    Device Description

    The AbT Glucose Control Solution consists of a viscosity-adjusted, aqueous liquid control solution containing a known quantity of glucose. The product is packaged in plastic dropper tipped bottles for easy application of the control solutions to the test strips and a red coloration to aid the user to visually confirm application of the control. The product is nonhazardous and contains no human or animal derived materials.

    AI/ML Overview

    The AbT Glucose Control Solution is a quality control material intended for in vitro diagnostic use to assess the performance of the Contour TS Blood Glucose Monitor. The 510(k) summary provides a comparison to predicate devices and outlines performance studies conducted to support the claim of substantial equivalence.

    Here's an analysis of the provided information against your requested criteria:

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

    The document provides a comparison to predicate devices and lists "Target Range (mg/dL)" under the "Comparison to Predicate Devices" table, which can be interpreted as an acceptance criterion for the control solution's glucose level. The reported performance is the established target range for the new device.

    Acceptance CriteriaReported Device Performance
    Analyte Target Range (mg/dL)100 - 145 (mg/dL)

    Note: The document also mentions "performance characteristics" like "Accelerated Stability," "Open Vial," and "Test precision" were verified, but it does not provide specific numerical acceptance criteria or reported performance values for these studies. It only states that tests were performed to verify these characteristics and that the "Comparison of the performance characteristics, formulation and intended use support the claim of substantial equivalence."

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

    The document does not explicitly state the sample size used for any of the performance studies (Accelerated Stability, Open Vial, Test Precision).
    The document does not provide information on the country of origin or whether the data was retrospective or prospective.

    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)

    This device is a glucose control solution, not an AI or diagnostic imaging device that requires expert interpretation for ground truth. Therefore, the concept of "experts establishing ground truth" as you've framed it (e.g., radiologists) is not applicable here. The ground truth for the control solution's glucose concentration would be established through laboratory analytical methods, not subjective expert assessment. The document does not provide details on the specific analytical methods or individuals who established the true glucose concentration.

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

    Not applicable for a glucose control solution. Ground truth for a control solution's glucose concentration is determined by analytical measurements, not expert 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 device is a glucose control solution, not an AI-assisted diagnostic tool for human readers.

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

    This refers to an algorithm's performance without human interaction. This is not applicable as the device is a control solution, not an algorithm. The control solution itself doesn't have an "algorithm" in the typical sense; its performance is based on its chemical properties and stability.

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

    For a glucose control solution, the "ground truth" for the glucose concentration would be established through analytical laboratory methods (e.g., reference methods for glucose measurement). The document does not explicitly state the specific methods used to establish the ground truth for the control solution's glucose concentration.

    8. The sample size for the training set

    Not applicable. This device is a manufacturing product (a control solution), not a machine learning model that requires a training set.

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

    Not applicable, as there is no training set for this type of device.

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