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510(k) Data Aggregation

    K Number
    K203270
    Date Cleared
    2021-01-15

    (71 days)

    Product Code
    Regulation Number
    862.1205
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    IMMULITE/IMMULITE**®** 1000 Cortisol

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

    For in vitro diagnostic use with the IMMULITE® and IMMULITE 1000 Analyzers - for the quantitative measurement of cortisol (hydrocortisone, Compound F) in serum, as an aid in the clinical assessment of adrenal status.

    Device Description

    The IMMULITE/IMMULITE® 1000 Cortisol assay is comprised of the following components: Cortisol Test Unit (solid phase) - 1 bead/Test unit, Polyclonal rabbit anti-cortisol antibody. Cortisol Reagent Wedge (liquid phase) - 7.5 mL, Alkaline phosphatase (bovine calf intestine) conjugated to cortisol in buffer, with preservative. Cortisol Adjustors (Low and High) - 3 mL, Cortisol in processed human serum, with preservative.

    AI/ML Overview

    The document describes the performance characteristics of the IMMULITE/IMMULITE® 1000 Cortisol assay, which is an in vitro diagnostic device. This device measures cortisol in serum to aid in the clinical assessment of adrenal status. The submission is for a modified device with a new supplier for the antibody, maintaining the same intended use.

    Here's an analysis of the acceptance criteria and the study proving the device meets them:

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

    The document doesn't explicitly present a table labeled "acceptance criteria." Instead, it describes performance characteristics that were evaluated to demonstrate substantial equivalence to a predicate device. The implied acceptance criterion for each characteristic is that the performance of the modified device should be comparable to or within acceptable limits of the predicate device, or meet established clinical laboratory standards (e.g., CLSI guidelines).

    Here's a table based on the provided "Performance Characteristics" section, showing the evaluated parameters and their reported outcomes:

    Performance CharacteristicAcceptance Criteria (Implied / Defined by Standard)Reported Device Performance
    Detection LimitsDefined by CLSI EP17-A2 standardsLoB: 0.008 µg/dL (0.22 nmol/L)
    LoD: 0.053 µg/dL (1.46 nmol/L)
    LoQ: 0.2 µg/dL (5.52 nmol/L)
    Reportable range: 1-50 µg/dL (28-1380 nmol/L)
    LinearityDefined by CLSI EP06-A standardsLinear from 0.18 - 50.98 µg/dL. Linearity information in IFU unchanged from K931409 (predicate).
    Repeatability & Within-Lab PrecisionUnchanged from K931409 (predicate)Repeatability and within-lab precision information in IFU unchanged from K931409.
    Spike RecoveryUnchanged from K931409 (predicate)Spike recovery information in IFU unchanged from K931409.
    Method Comparison (vs. Predicate)High correlation and acceptable agreement with predicate device (regression equation, r-value).N=152 patient samples
    Range: 2.01 – 48.3 µg/dL
    Regression equation: IMM 1000 (modified) = 0.951 * IMMULITE 1000 commercial (predicate) - 0.155 µg/dL.
    r=0.991
    Specificity (Cross-Reactivity)% Cross-Reactivity should be within acceptable limits for various compounds.A detailed table of compounds tested and their % Cross-Reactivity, with most showing "ND" (Not Detected) or very low percentages (e.g., Corticosterone 0.92%, Cortisone 1.77%, Methylprednisolone 1.12%, Prednisolone 16.01%, Allotetrahydrocortisol 2.06%).
    Interference% Recovery should be within acceptable limits in the presence of interfering substances.Biotin: 96.0% observed mean % recovery at 3500ng/mL.
    Interference information for Bilirubin, Hemolysis, and Lipemia in IFU unchanged from K931409.

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

    • Detection Limits (LoB, LoD, LoQ): The sample sizes are not explicitly stated for the determination of LoB, LoD, and LoQ, but these are typically determined using multiple replicates of blank and low-concentration samples. The study was conducted in accordance with CLSI EP17-A2.
    • Linearity: The study involved combining a high human serum pool with a low human serum pool to create 9 levels of dilutions. The number of individual samples within these pools is not specified. The provenance is "human serum."
    • Method Comparison:
      • Sample Size: A total of 152 native patient samples.
      • Data Provenance: "native patient samples," indicating human origin. The country of origin is not specified, but the applicant's address is in the UK. The study was retrospective or prospective is not explicitly stated, but "patient samples" typically implies retrospectively collected samples for this type of comparison study.

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

    This is an in vitro diagnostic (IVD) assay measuring a biomarker (cortisol). The "ground truth" for such devices is established by reference methods or validated higher-order methods, not typically by expert human interpretation (like in imaging AI).

    • For Method Comparison, the ground truth is simply the measurement obtained from the predicate device (unmodified IMMULITE 1000 Cortisol Assay), which is presumed to be the accepted standard. No human experts are used for ground truth establishment in this context.
    • For Detection Limits, Linearity, Specificity, and Interference, the ground truth is based on the precise preparation of known concentrations of analytes, cross-reactants, or interfering substances, and comparison to the assay's ability to accurately measure them. This does not involve expert human interpretation.

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

    Not applicable. As an IVD assay measuring a quantitative biomarker, adjudication by human experts is not part of the ground truth establishment or performance evaluation process. The measurements are objective.

    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 not an AI-assisted diagnostic imaging device for human interpretation, but rather an automated in vitro diagnostic assay measuring a chemical compound. Therefore, MRMC studies are not relevant.

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

    Yes, the performance characteristics described are indeed standalone performance of the device (IMMULITE/IMMULITE® 1000 Cortisol assay) itself. It evaluates the accuracy, precision, limits, and specificity of the biochemical measurement system, without human involvement in the direct measurement or interpretation of the assay's output for diagnostic purposes in the study. The human role is in operating the instrument and interpreting the numerical result in the clinical context, but the study focuses on the analytical performance of the device.

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

    The ground truth used for this IVD device is primarily:

    • Reference measurements/Predicate device measurements: For the method comparison study, the measurements from the legally marketed predicate device (IMMULITE/IMMULITE® 1000 Cortisol, K931409) serve as the reference or "ground truth" for comparison.
    • Prepared known concentrations: For studies like linearity, detection limits, specificity (cross-reactivity), and interference, the ground truth is established by preparing samples with precisely known concentrations of the analyte, cross-reactants, or interfering substances.
    • Standardized methods/guidelines: Compliance with CLSI (Clinical and Laboratory Standards Institute) guidelines (e.g., EP17-A2, EP06-A, EP09c, EP07) implies that the ground truth methodology follows accepted laboratory standards for analytical performance.

    8. The sample size for the training set:

    Not applicable. This document describes a traditional in vitro diagnostic immunoassay, not a machine learning or artificial intelligence algorithm that requires a "training set." The development of such assays involves chemical and biological optimization, not data-driven model training.

    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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