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510(k) Data Aggregation

    K Number
    K242339
    Date Cleared
    2025-02-28

    (205 days)

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

    Intravascular Extension Sets and Accessories

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

    For the administration of fluids from a container into the patient's vascular system through a vascular access device.

    Device Description

    The proposed devices are single use disposable devices intended for the administration of fluids from a container to the patient's vascular system. The extension sets consist of a combination of the following components: PVC or PE lined PVC tubing, a clamp, female Luer with non-vented cap, male Luer with filter vented cap. The accessories consist of an anti-siphon valve, back check valve, and 1.2 µm Filter. The accessories are used in combination with IV sets to administer solutions directly from a container to a patient's vascular system.

    AI/ML Overview

    This FDA 510(k) summary describes an intravascular extension set and accessories. The filing primarily focuses on demonstrating substantial equivalence to a predicate device (K192366) and the removal of a caution statement related to body weight. Therefore, the information provided does not detail a study involving AI or complex performance metrics as typically seen for AI/ML-enabled devices.

    Based on the provided text, the acceptance criteria and study information are as follows:

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

    Acceptance CriteriaReported Device Performance
    BiocompatibilityPassed (supported the removal of caution statement)
    Functional Equivalence to PredicateEstablished (Same design, material, sterility, chemical properties as predicate. No changes except removal of caution statement).
    Indications for UseEquivalent to predicate device.

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

    The document does not specify a "test set" in the context of performance evaluation with a defined sample size for the device itself. The primary testing mentioned is biocompatibility. For biocompatibility, there is no information about sample size or data provenance provided in this summary.

    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 physical medical device (intravascular extension set and accessories), not an AI/ML-enabled device requiring expert ground truth for performance evaluation of diagnostic accuracy.

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

    Not applicable. This device is a physical medical device, not an AI/ML-enabled device requiring adjudication of expert interpretations.

    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. No MRMC study was performed as this is a physical medical device, not an AI-assisted diagnostic tool.

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

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

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

    Not applicable. For biocompatibility testing, the "ground truth" would be established by standardized testing methods and international standards (e.g., ISO 10993 series), not expert consensus, pathology, or outcomes data in the context of diagnostic performance.

    8. The sample size for the training set

    Not applicable. This is a physical medical device, not a machine learning model that requires a training set.

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

    Not applicable. As there is no training set mentioned, there is no ground truth established for a training set.

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    K Number
    K192366
    Date Cleared
    2020-07-20

    (325 days)

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

    Intravascular Extension Sets and Accessories

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

    For the administration of fluids from a container into the patient's vascular system through a vascular access device.

    Device Description

    The proposed devices consist of IV Extension sets and IV set accessories. They are single use disposable devices intended for the administration of fluids from a container into the patient's vascular system. They are non-pyrogenic, sterile devices that can be used with or without a syringe. The extension sets consist of PVC tubing or polyethylene lined PVC tubing, a notch clamp, female luer, non-vented cap, male luer, and filter vented cap. They are used to administer solutions, drugs, antibiotics, lipids to the patient. The accessories consists of an anti-siphon valve, back check valve, and 1.2 µm Filter. They attach to the proposed sets to add a specific feature to facilitate the administration of fluid when used with a syringe. The anti-siphon valve reduces the risk of free flow from the syringe and backflow into the primary infusion line. The back check valve prevents backflow into the primary infusion line. The 1.2 um Filter prevents particulate matter and eliminates air bubbles.

    AI/ML Overview

    The provided document is a 510(k) Summary for Baxter Healthcare Corporation's Intravascular Extension Sets and Accessories (K192366). It describes a Class II medical device intended for the administration of fluids into a patient's vascular system.

    Here's an analysis of the acceptance criteria and study information:

    1. Table of Acceptance Criteria and Reported Device Performance

    The document lists various tests conducted and generally states that "All tests met the acceptance criteria" without providing specific numeric results for each test. The acceptance criteria themselves are primarily referenced by external standards, not internal performance metrics.

    TestAcceptance Criteria (Reference Standard)Reported Device Performance
    ISO 80369-7 Luer Tests on male Luer Lock ConnectorBS EN ISO 80369-7:2016 (Clauses 6.1.2, 6.1.3, 6.2, 6.3, 6.4, 6.5, 6.6, 5), ISO 80369-20:2015 Annex E, ISO 594-1:1986 Clause 3, ISO 594-2:1998 Clause 3 (as applicable)Met acceptance criteria
    ISO 80369-7 Luer Tests on female Luer Lock ConnectorBS EN ISO 80369-7:2016 (Clauses 6.1.2, 6.1.3, 6.2, 6.3, 6.4, 6.5, 6.6, 5), ISO 80369-20:2015 Annex E, ISO 594-1:1986 Clause 3, ISO 594-2:1998 Clause 3 (as applicable)Met acceptance criteria
    Tensile Strength TestBS EN ISO 8536-9 Clause 5.3, BS EN ISO 8536-10 Clause 4.3, BS EN ISO 8536-11 Clause 5.3, BS EN ISO 8536-12 Clause 6.2Met acceptance criteria
    Leak TestBS EN ISO 8536-9:2015 Section A.4, BS EN ISO 8536-11:2015 Section A.4, ISO 8536-10:2015 Section A.4Met acceptance criteria
    Counter Flow TestISO 8536-12:2007+A1:2013 Clause A.4Met acceptance criteria
    Blocking Performance TestISO 8536-12:2007+A1:2013 Clause A.6Met acceptance criteria
    Opening Pressure TestISO 8536-12:2007+A1:2013 Clause A.7.1 and per Baxter Test MethodMet acceptance criteria
    Notch Clamp Activation Force TestPer Baxter Test MethodMet acceptance criteria
    Notch Clamp Shut-Off TestISO 8536-14:2015Met acceptance criteria
    Filter TestsEN ISO 8536-11 Clause 5.1 and per Baxter Test MethodMet acceptance criteria
    Non-DEHP Claim Verification (.Met acceptance criteria

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

    The document does not specify the sample sizes used for the individual performance tests (e.g., Luer tests, tensile strength, leak test, etc.). It only states that tests were conducted.

    The data provenance is retrospective testing performed by Baxter Healthcare Corporation to verify the functional performance of the proposed devices. No information about the country of origin of the data is provided beyond the submitting company being U.S.-based (Illinois).

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

    This section is not applicable to this type of device submission. The tests are bench tests verifying physical and chemical properties of the device, not clinical performance requiring expert medical review or ground truth establishment in a diagnostic context.

    4. Adjudication Method for the Test Set

    This section is not applicable. As mentioned above, the tests are primarily bench tests against engineering standards, not subjective assessments requiring adjudication.

    5. If a Multi Reader Multi Case (MRMC) Comparative Effectiveness Study was done

    No, an MRMC comparative effectiveness study was not done. This type of study is relevant for diagnostic devices that involve human interpretation of medical images or data. The device in question is an intravenous extension set and accessories, which are physical medical components.

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

    This section is not applicable. The device is a physical medical device, not an algorithm or AI system.

    7. The Type of Ground Truth Used

    For the performance tests, the "ground truth" or reference is established by the acceptance criteria outlined in various international standards (e.g., ISO, BS EN ISO) and Baxter's internal test methods. For biocompatibility, it's the biological response against established toxicology and biocompatibility standards. For sterility, it's the validation against a specified Sterility Assurance Level (SAL).

    8. The Sample Size for the Training Set

    This section is not applicable. The device is a physical medical device. There is no "training set" in the context of an algorithm or AI system. The manufacturing process and quality control would involve ongoing sampling and testing, but not in the sense of a machine learning training set.

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

    This section is not applicable for the same reasons as point 8.

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