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510(k) Data Aggregation

    K Number
    K201741
    Date Cleared
    2020-11-05

    (133 days)

    Product Code
    Regulation Number
    876.5980
    Reference & Predicate Devices
    Predicate For
    N/A
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    The Gabriel 3-way EnFit valve is a three-way closed system valve with three ports for control of fluid flow (nutrition, medication and water) between devices with EnFit connectors and catheter tip syringe. It can be used in pediatric, adult and elderly patients, for up to 7 days.

    Device Description

    The Gabriel 3-way EnFit Valve is a three-way stopcock valve that is intended to control fluid flow between enteral devices (feeding tubes and feeding lines) with EnFit compatible connectors in a closed system fashion that reduces the need for frequent connection of the EnFit ports. It has one male EnFit port, one female EnFit port and one catheter tip port. The catheter tip port can be used for flushing and administration of medication using a catheter tip syringe. The male EnFit port is provided with a tethered cap and the catheter tip port is provided with a tethered cap. The ability to use a catheter tip syringe for flushing and administration of medicine in health care facilities that do not carry EnFit syringes, may facilitate adoption of feeding tubes and feeding lines with EnFit connectors.

    AI/ML Overview

    The provided text describes a medical device, the "Gabriel 3-Way EnFit Valve," and its 510(k) submission to the FDA. However, this document does not contain information about an AI/ML-enabled device or its acceptance criteria and study results for such a device.

    The document primarily focuses on demonstrating substantial equivalence of a physical medical device (a 3-way valve) to a predicate device based on design, materials, intended use, and bench testing for mechanical performance and biocompatibility.

    Therefore, I cannot answer the questions related to AI/ML acceptance criteria, performance studies (like MRMC or standalone performance), ground truth establishment, sample sizes for training/test sets, or expert qualifications/adjudication. These concepts are not discussed in the provided text.

    The closest information provided is the summary of bench testing for the physical valve. Below is a table of the acceptance criteria (stated as "PASS" for each test) and the reported device performance from the document.

    1. Table of Acceptance Criteria and Reported Device Performance

    TestAcceptance Criteria (Implied by "PASS")Reported Device Performance
    Male EnFit Measurement Verification TestMeets specified measurements for male EnFit connectorsPASS
    Female EnFit Measurements Verification TestMeets specified measurements for female EnFit connectorsPASS
    Catheter Tip Port Measurement Verification TestMeets specified measurements for catheter tip portsPASS
    Tensile TestWithstands specified tensile forcesPASS
    Cytotoxicity testNon-cytotoxicPASS
    Sensitization TestNon-sensitizingPASS
    Irritation TestNon-irritantPASS
    Leakage by Pressure Decay TestNo leakage under pressure decay conditionsPASS
    Positive Pressure Liquid Leakage TestNo leakage under positive pressure liquid conditionsPASS
    Stress Cracking TestResistant to stress crackingPASS
    Resistance to Separation from Axial Load TestResists separation from axial loadPASS
    Resistance to Separation from Unscrewing TestResists separation from unscrewingPASS
    Thread Overriding Resistance TestResistant to thread overridingPASS
    Disconnection by Unscrewing TestResists disconnection by unscrewingPASS
    Flexure modulusAbove 700 MpaPASS
    Feeding Formula Flow Rate TestAchieves specified feeding formula flow ratePASS

    The following information is NOT available in the provided text, as it pertains to AI/ML device studies, which this document does not describe:

    1. Sample sizes used for the test set and the data provenance: Not applicable, no AI/ML test set described.
    2. Number of experts used to establish the ground truth for the test set and the qualifications of those experts: Not applicable, no ground truth for image/data interpretation described.
    3. Adjudication method (e.g., 2+1, 3+1, none) for the test set: Not applicable.
    4. 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 versus without AI assistance: Not applicable.
    5. If a standalone (i.e., algorithm only without human-in-the-loop performance) was done: Not applicable.
    6. The type of ground truth used (expert consensus, pathology, outcomes data, etc.): Not applicable.
    7. The sample size for the training set: Not applicable.
    8. How the ground truth for the training set was established: Not applicable.
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