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510(k) Data Aggregation

    K Number
    K170864
    Date Cleared
    2017-06-21

    (90 days)

    Product Code
    Regulation Number
    864.5425
    Reference & Predicate Devices
    Why did this record match?
    Reference Devices :

    K152961

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

    VALIDATE® D-Dimer Calibration Verification / Linearity Test Kit solutions are assayed quality control materials intended for in vitro diagnostic use in the quantitative determination verification verification and verification of reportable range for the following analyte: D-Dimer in a clinical laboratory personnel. The product is intended for use with quantitative assays on the indicated analyzers specified in the labeling.

    Device Description

    Each VALIDATE® D-Dimer Calibration Verification / Linearity Test Kit contains one analyte set of D-Dimer in a human plasma base matrix. The kit includes a set containing five liquid levels, 3.0 mL each. The set is provided to establish the relationship between theoretical and actual performance of the included analyte D-Dimer. Material of human origin used in the manufacture of this test kit was tested at the donor level using FDA approved methods and was found to be non-reactive for HBsAG and to antibodies to HCV and HIV-1/2.

    AI/ML Overview

    The provided text describes a 510(k) premarket notification for an in vitro diagnostic device, the VALIDATE® D-Dimer Calibration Verification / Linearity Test Kit. This document does not pertain to an AI/ML medical device, but rather to a quality control material used for calibrating laboratory instruments.

    Therefore, many of the requested criteria for describing an AI/ML device's acceptance criteria and study proving its performance (such as sample size for test/training sets, data provenance, number of experts for ground truth, adjudication methods, MRMC studies, standalone performance, etc.) are not applicable to this document.

    However, I can extract information related to the device's performance validation as presented in the document:


    Acceptance Criteria and Device Performance (for a Calibration Verification/Linearity Test Kit - Not an AI/ML Device)

    1. Table of Acceptance Criteria and Reported Device Performance

    The document describes performance in terms of precision/reproducibility and linearity, rather than typical AI metrics like sensitivity, specificity, or AUC. The "acceptance criteria" are implied by the statements that "All levels of the VALIDATE® D-Dimer kit met the CV% acceptance criteria on the Siemens CS-2500 instrument system." and that linearity testing was carried out. Specific numerical acceptance criteria for CV% are not explicitly stated in the provided text.

    Performance MetricAcceptance Criteria (Implied)Reported Device Performance
    Precision/ReproducibilityAll levels to meet pre-defined CV% acceptance criteria.All levels of the VALIDATE® D-Dimer kit met the CV% acceptance criteria on the Siemens CS-2500 instrument system.
    LinearityThe kit must demonstrate a linear relationship between levels for calibration verification and reportable range verification.Linearity testing was carried out, and a linear relationship is stated to exist between each level. The product design relies on "equal deltas" as outlined in CLSI EP6-A.
    StabilityProduct must maintain performance within acceptance criteria over time and freeze-thaw cycles.Shelf Life Claim: 9 months stability. All product levels tested within acceptance criteria limits after 6 freeze-thaw vial events.

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

    • Precision/Reproducibility Study:

      • Sample Size (Replicates): 80 replicates per kit level for precision study; 75 replicates per kit level for reproducibility study.
      • Data Provenance: Not explicitly stated (e.g., country of origin), but implied to be from internal lab testing ("on the Siemens Sysmex CS-2500 instrument system" at "multi-site" for reproducibility). The studies are prospective in nature, as they involve active testing of the device.
    • Linearity Study:

      • Sample Size: Not explicitly stated in terms of number of runs or replicates, beyond "Linearity testing was carried out."
      • Data Provenance: Internal lab testing.

    3. Number of Experts Used to Establish Ground Truth and Qualifications

    • Not applicable. This is a quality control material for an in vitro diagnostic test, not an AI/ML device that requires human expert annotation for ground truth. The "ground truth" (or target values) for this device is based on its intended concentration levels (Levels 1 through 5) and the expected linear relationship between them.

    4. Adjudication Method for the Test Set

    • Not applicable. No human interpretation or qualitative assessment requiring adjudication is described.

    5. If a Multi-Reader Multi-Case (MRMC) Comparative Effectiveness Study was done

    • No. This type of study is relevant for AI/ML devices that assist human readers in image interpretation or similar tasks. This device is a quantitative control material.

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

    • Not applicable. This is a physical kit used to verify instrument performance, not a standalone algorithm. Its "performance" is its ability to reproducibly produce expected values and demonstrate linearity when run on an instrument.

    7. The Type of Ground Truth Used

    • Internal Reference Standard / Expected Values: The "ground truth" for this device revolves around the predetermined concentrations of D-Dimer in each level (1-5) and their designed linear relationship.
      • Level 1 and 5 are prepared independently with D-Dimer added to a human plasma base.
      • Levels 2, 3, and 4 are subsequently prepared from Levels 1 and 5 by equal part dilutions following CLSI EP6-A guidelines.
      • "Typical recovery values" are established by testing 30 replicates of Levels 1 and 5.
      • The device is traceable to the instrument's (Siemens Sysmex CS-2500) calibrator curve (Innovance® reagent calibrator).

    8. The Sample Size for the Training Set

    • Not applicable. This device is not an AI/ML model that undergoes "training" in the computational sense. Its formulation and design are based on established laboratory quality control guidelines (e.g., CLSI EP6-A).

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

    • Not applicable. See point 8. The "ground truth" for the development of the kit (i.e., establishing the target values and linearity across levels) is described by:
      • Independent preparation of Levels 1 and 5.
      • Subsequent preparation of Levels 2, 3, and 4 via equal part dilutions from Levels 1 and 5.
      • Determination of "typical value ranges" and "typical recovery values" for Levels 1 and 5 through 30 replicates of testing.
      • Adherence to CLSI EP6-A guidelines for linearity.
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