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510(k) Data Aggregation

    K Number
    K072062
    Date Cleared
    2007-09-20

    (55 days)

    Product Code
    Regulation Number
    862.3910
    Reference & Predicate Devices
    N/A
    Why did this record match?
    Device Name :

    UCP MULTIPLE DRUG SCREEN TEST CUPS

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

    The UCP Multiple Drug Screen Test Cups are rapid, qualitative, competitive binding immunoassays for the detection of Amphetamine, Barbiturates, Bezodiazepines, Cocaine, Marijuana, Methadone, Methamphetamine, MDMA, Morphine, Opiate 2000, Oxycodone, Phencyclidine, Tricyclic Antidepressants, Propoxyphene and their metabolites in human urine at the following cutoff levels:

    TestCalibratorCut-off
    AmphetamineD-Amphetamine1000 ng/mL
    BarbituratesSecobarbital300 ng/mL
    BenzodiazepinesOxazepam300 ng/mL
    CocaineBenzoylecgonine300 ng/mL
    MarijuanaDelta-9-THC-COOH50 ng/mL
    MethadoneMethadone300 ng/mL
    MethamphetamineD-Methamphetamine1000 ng/mL
    MDMAMDMA500 ng/mL
    MorphineMorphine300 ng/mL
    Opiate 2000Morphine2000 ng/mL
    OxycodoneOxycodone100 ng/mL
    PhencyclidinePhencylidine25 ng/mL
    Tricyclic AntidepressantNortriptyline1000 ng/mL
    PropoxyphenePropoxyphene300 ng/mL

    The tests provide only preliminary data, which should be confirmed by other methods such as gas chromatography/mass spectrometry (GC/MS). The test configuration comes with any combination of multiple drug screen tests. Clinical considerations and professional judgment should be applied to any drug of abuse test results, particularly when preliminary positive results are indicated. The tests are not intended to be used in monitoring drug levels.

    Prescription Use (21 CFR Part 801 Subpart D) And/Or Over the Counter Use (21 CFR Part 801 Subpart C)

    Device Description

    The UCP Multiple Drug Screen Test Cups are rapid, qualitative, competitive binding immunoassays for the detection of Amphetamine, Barbiturates, Bezodiazepines, Cocaine, Marijuana, Methadone, Methamphetamine, MDMA, Morphine, Opiate 2000, Oxycodone, Phencyclidine, Tricyclic Antidepressants, Propoxyphene and their metabolites in human urine.

    AI/ML Overview

    The provided text describes a 510(k) premarket notification for the "UCP Multiple Drug Screen Test Cups," which is an in vitro diagnostic device. The document issues a substantial equivalence determination for this device, meaning it is considered equivalent to legally marketed predicate devices.

    However, the provided text does not contain detailed information about the specific acceptance criteria, a standalone study to prove the device meets these criteria, sample sizes for test or training sets, ground truth establishment methods, or the qualifications of experts. The document is an FDA clearance letter and an "Indication for Use" statement, not a scientific study report.

    The "Indication for Use" section lists the drugs detected and their respective cutoff levels (calibrator and cutoff concentration), which could be interpreted as part of the performance specification. However, it does not explicitly state "acceptance criteria" and "reported device performance" in the format of a typical scientific or validation study. It describes what the device is designed to do.

    Therefore, I cannot fulfill most of your request using the provided text.

    Here's what I can extract or infer:

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

    The document describes the intended performance specifications (detection of specific drugs at specific cutoff levels). It does not provide a table of acceptance criteria (e.g., sensitivity, specificity thresholds) alongside reported device performance (actual experimental results against those thresholds).

    The table below shows the inherent performance specification from the "Indication for Use" section:

    TestCalibratorCut-off (ng/mL)
    AmphetamineD-Amphetamine1000
    BarbituratesSecobarbital300
    BenzodiazepinesOxazepam300
    CocaineBenzoylecgonine300
    MarijuanaDelta-9-THC-COOH50
    MethadoneMethadone300
    MethamphetamineD-Methamphetamine1000
    MDMAMDMA500
    MorphineMorphine300
    Opiate 2000Morphine2000
    OxycodoneOxycodone100
    PhencyclidinePhencylidine25
    Tricyclic AntidepressantNortriptyline1000
    PropoxyphenePropoxyphene300

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

    • Information Not Found. The document does not provide details of specific studies, including sample size or data provenance.

    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):

    • Information Not Found. The document does not describe the establishment of ground truth or the involvement of experts for validation studies. The ground truth for drug tests like these is typically established through analytical chemistry methods, not expert consensus in the same way as medical imaging.

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

    • Information Not Found. This concept is generally not applicable to a chemical immunoassay, which provides a direct quantitative or qualitative result based on chemical reaction, not human interpretation requiring 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:

    • Information Not Found. This device is an in vitro diagnostic test (immunoassay), not an AI-assisted diagnostic tool that would involve human readers or MRMC studies.

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

    • Information Not Found (but implied by device type). The device itself is a standalone test that produces a result (positive/negative based on cutoff levels). Its performance is inherently "standalone" in this context. However, the document does not describe such a study or its results. It simply states the device's function.

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

    • Inferred: For drug screen tests, the ground truth for validation is typically established by definitive analytical methods, most commonly Gas Chromatography/Mass Spectrometry (GC/MS). The document explicitly states: "The tests provide only preliminary data, which should be confirmed by other methods such as gas chromatography/mass spectrometry (GC/MS)." This strongly implies GC/MS is the reference standard for confirmatory results and, therefore, the likely "ground truth" for validation studies.

    8. The sample size for the training set:

    • Information Not Found. The document refers to a commercial product, not an AI model that requires a training set.

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

    • Information Not Found. See point 8.
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