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510(k) Data Aggregation

    K Number
    K964439
    Manufacturer
    Date Cleared
    1997-07-16

    (252 days)

    Product Code
    Regulation Number
    880.5440
    Reference & Predicate Devices
    N/A
    Why did this record match?
    Device Name :

    NEEDLE-FREE VALVED CONNECTOR AND CAP

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

    The BMW Needlefree Valved Connector is designed for needlefree access to IV infusion systems for injection of fluids or aspiration of blood samples.

    Device Description

    BMW's Needlefree Valved Connector is a rigid plastic adapter with a male luer port on the distal end for attachment to I.V. access systems (e.g., catheters). The proximal end terminates in a female luer lock fitting which may be attached to any I.V. administration set terminating in a standard male luer. The female luer is capped when napt in use to minimize the potential for contamination.

    The plastic adapter houses a slitted disc of silicone rubber which serves as a three-way valve. The valve is normally closed when it is not in use. The valve opens towards the I.V. access system when fluids are infused into the patient and it opens away from the I.V. access system to permit aspiration of blood samples. The valve is captured (sandwiched) between the seating surfaces of the two-piece adapter. The seating surfaces of the adapter are held in position by a bond between the proximal and distal pieces of the adapter. The connector valve is packaged in a sterile blister pack with male luer cap(s). The caps will also be packaged and sold individually.

    AI/ML Overview

    This device is a physical medical device (Needlefree Valved Connector and Cap), not an AI/ML powered software, therefore, many of the requested categories are not applicable. The provided text is a 510(k) summary and FDA clearance letter, which focuses on demonstrating substantial equivalence to predicate devices rather than providing detailed study results with acceptance criteria typical for novel devices or software.

    Here's an analysis based on the information provided:

    1. Table of Acceptance Criteria and Reported Device Performance

    The 510(k) summary does not explicitly state quantitative acceptance criteria or detailed performance metrics in the format of a table as might be expected for an AI/ML device or a device with new performance claims. Instead, the performance is described in terms of substantial equivalence to existing predicate devices.

    Acceptance Criteria (Implied)Reported Device Performance
    Functional Equivalence: Device performs the same intended functions as predicate devices.The valve remains closed when not in use. The valve opens toward the distal end of the I.V. administration system (catheter) when fluids are infused. The valve opens away from the I.V. device to permit aspiration of blood samples.
    Physical Equivalence: Physical characteristics are substantially equivalent to a predicate device, with differences not raising new safety or efficacy questions.Physical characteristics are substantially equivalent to the hub of BMW's Clampless Valued Catheter, except for attachment mechanisms (male luer lock vs. tapered barbed extension). The male luer lock attachment meets ANSI standards.
    Safety and Efficacy: No new questions of safety and efficacy are raised compared to predicate devices.The male luer lock attachment of the Needle Free Connector meets ANSI standards and "poses no new questions of safety and efficacy to the user." Offers the same needlefree access features as Braun's Safsite, reducing accidental stick risk. Both must be capped when not in use to minimize contamination.

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

    This information is not provided in the 510(k) summary. Given this is a physical device submission focused on substantial equivalence, the "test set" would likely refer to engineering verification and validation testing (e.g., flow rate, pressure, material compatibility, leak testing, functional cycling), rather than a clinical dataset in the AI/ML context. The document does not detail specific sample sizes for these tests or their provenance.

    3. Number of Experts Used to Establish the Ground Truth for the Test Set and Qualifications of Those Experts

    This information is not applicable/not provided. For a physical medical device like this, "ground truth" as typically defined for AI/ML (e.g., expert consensus on medical images) is not relevant. Performance is typically assessed against engineering specifications and predicate device performance.

    4. Adjudication Method for the Test Set

    This information is not applicable/not provided. Adjudication methods like 2+1 or 3+1 are common in clinical studies where expert disagreement needs to be resolved for ground truth establishment. This type of submission relies on engineering testing and comparison with predicate devices.

    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

    This information is not applicable. This is a physical medical device, not an AI/ML software, and therefore, an MRMC study related to human readers improving with AI assistance would not be performed.

    6. If a Standalone (i.e., algorithm only without human-in-the-loop performance) Was Done

    This information is not applicable. This is a physical medical device, not an algorithm.

    7. The Type of Ground Truth Used

    The "ground truth" for this device's performance relies on:

    • Engineering Specifications: Adherence to design requirements (e.g., luer lock meeting ANSI standards).
    • Functional Performance Comparison: Demonstrating that the device performs functionally identically to the predicate device (e.g., valve opening/closing as intended for infusion and aspiration).
    • Safety Profile: Assurance that design differences do not introduce new safety concerns, implicitly relying on established safety profiles of the predicate devices.

    8. The Sample Size for the Training Set

    This information is not applicable. This is a physical device, not an AI/ML model, so there is no "training set."

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

    This information is not applicable. As there is no AI/ML training set, the concept of establishing ground truth for it does not apply.

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