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510(k) Data Aggregation

    K Number
    K984067
    Manufacturer
    Date Cleared
    1999-01-13

    (58 days)

    Product Code
    Regulation Number
    862.1215
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    STRATUS (R) CS STAT FLUOROMETRIC ANALYZER, STRATUS (R) CS CKMB TEST PAK

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

    The Stratus® CS STAT Fluorometric Analyzer is a microprocessor-controlled instrument that measures analytes in body fluid for in vitro diagnostic use.

    The CKMB TestPak used on the Stratus® CS STAT Fluorometric Analyzer is an in vitro diagnostic product for the measurement of the MB isoenzyme of creatine kinase in heparinized plasma. Measurements of CKMB can be used as an aid in the diagnosing of acute myocardial infarction.

    The Stratus® CS STAT Fluorometric Analyzer is intended to duplicate manual analytical procedures by performing automatically various steps, such as pipetting, incubation and measuring fluorescence.

    Measurements of CKMB are used in the diagnosis and treatment of myocardial infarction and muscle diseases such as progressive, Duchenne-type muscular dystrophy.

    Device Description

    The Stratus® CS STAT Fluorometric Analyzer is a benchtop analyzer capable of processing up to four in vitro diagnostic tests per sample. An operator of the analyzer introduces a specimen collection tube filled with whole blood into the analyzer, along with the appropriate TestPaks for processing. The analyzer transfers and spins an aliquot of the sample, delivers the spun plasma and other self-contained reagents to the reaction area of the TestPak. reads the reaction rate via front surface fluorescence and prints out quantitative test results.

    The CKMB TestPak consists of a plastic cartridge with five wells and a small square of glass fiber paper embedded in it. The method utilizes a two-site sandwich assay based upon solid phase Radial Partition Immunoassay (RPIA) technology. In this procedure, dendrimer linked monoclonal antibody is added to the center portion of a square piece of glass fiber paper in the CKMB TestPak. Sample is then added onto the paper where it reacts with the immobilized anti-CKMB antibody. After a short incubation, a conjugate consisting of enzyme-labeled antibody directed against a distinct antigenic site of the B subunit on the CKMB molecule is pipetted onto the reaction zone of the paper. Dunng this second incubation period, enzyme-labeled antibody reacts with the bound CKMB, forming an antibody-antibedy-antibody sandwich. The unbound labeled antibody is later eluted from the field of view of the Stratus® CS Analyzer by applying a substrate wash solution to the center of the reaction zone of the TestPak. By including substrate for the enzyme within the wash solution of enzyme activity occurs simultaneously with the wash. The enzymatic rate of the bound fraction increases directly with the concentration of CKMB in the sample. The reaction rate is measured by an optical system that monitors the reaction rate via front surface fluorescence. All data analysis functions are performed by the microprocessor within the analyzer.

    These devices were previously cleared under K981099. Subsequently, the labeling of the TestPak and the analyzer software and Operator's Guide have been modified to change the recommended frequency of quality control from daily to weekly.

    AI/ML Overview

    This document is a 510(k) summary for a diagnostic device, the Stratus® CS STAT Fluorometric Analyzer and Stratus® CS CKMB TestPak. It outlines the device's intended use, comparison to a predicate device, and the basis for its substantial equivalence determination.

    However, it does not contain detailed information regarding acceptance criteria, specific performance studies, sample sizes, ground truth establishment, or expert involvement as requested in your prompt. The focus of this 510(k) is on demonstrating substantial equivalence to a previously cleared device (K981099) based primarily on a change in the recommended quality control (QC) frequency.

    Therefore, many of the specific details you've asked for cannot be extracted from the provided text.

    Here's an analysis based on the available information:

    1. Table of acceptance criteria and the reported device performance

    The document states: "The QC data collected supports the recommended change in QC frequency and indicates the change will not adversely affect performance of these devices." However, it does not provide specific acceptance criteria (e.g., precision, accuracy thresholds) or numerical performance metrics (e.g., coefficients of variation, bias) for the CKMB test. The "performance" mentioned refers to the stability and reliability of the device and test when the QC frequency is reduced from daily to weekly.

    Acceptance CriteriaReported Device Performance
    Not explicitly stated in the provided text. The primary "acceptance" here relates to demonstrating that the change in QC frequency does not adversely affect performance."The QC data collected supports the recommended change in QC frequency and indicates the change will not adversely affect performance of these devices." (Implies that previous performance levels were maintained with the reduced QC frequency, but no specific metrics are provided.)

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

    • Sample Size: Not specified. The document only mentions "the QC data collected."
    • Data Provenance: Not specified (e.g., country of origin, retrospective/prospective). It likely refers to internal validation data collected by Dade Behring Inc.

    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 a quantitative diagnostic instrument. The "ground truth" for a quantitative measurement would typically be established by a reference method or known concentrations of analytes, not by expert consensus in the way it is for image-based diagnostics. The document does not describe the methodology for establishing the accuracy of the CKMB measurements, only that the QC data supports the change in QC frequency.

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

    Not applicable. Adjudication is not relevant for a quantitative diagnostic device like this, which produces a numerical result.

    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 device, nor is it subject to "reader" interpretation in the same way as imaging studies. It's a laboratory instrument performing automated quantitative measurements.

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

    This is a standalone quantitative diagnostic device (algorithm only, without human-in-the-loop interpretive performance in the context of diagnostic AI). The analyzer automatically measures and presents results. The "study" mentioned here is the collection of QC data to support a change in QC frequency. The document implies that the device's performance was evaluated intrinsically through this QC data.

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

    For a quantitative test like CKMB, the ground truth would typically be established by:

    • Reference methods or highly accurate laboratory assays.
    • Known concentrations of CKMB in control materials or calibrators.

    The document does not explicitly state which type of ground truth was used for assessing the CKMB measurements, but given it's a quantitative assay, it would almost certainly involve comparison to known values or a reference method.

    8. The sample size for the training set

    Not applicable. This device is not an AI model that undergoes a "training set" in the machine learning sense. Its performance is based on its biochemical assay design and instrument calibration.

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

    Not applicable. As above, there is no "training set" in the AI sense for this device.

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