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510(k) Data Aggregation

    K Number
    K150921
    Manufacturer
    Date Cleared
    2016-04-12

    (372 days)

    Product Code
    Regulation Number
    880.5440
    Reference & Predicate Devices
    Predicate For
    N/A
    AI/MLSaMDIVD (In Vitro Diagnostic)TherapeuticDiagnosticis PCCP AuthorizedThirdpartyExpeditedreview
    Intended Use

    Orbit®micro Infusion Sets are intended for the subcutaneous delivery of fluids and medication, such as insulin, from an external infusion pump.

    Device Description

    All Orbit micro Infusion Sets are used for the subcutaneous delivery of fluids and medication from an external infusion pump. All Orbit micro Infusion sets are comprised of tubing that is connected on one end to the medication reservoir of the infusion pump using a luer lock connection and on the other end to the patient, attached to the skin by an adhesive base, anchoring a catheter that is inserted into the subcutaneous tissue. All Orbit micro Infusion sets have a patented design feature which allows the tubing to freely rotate 360° at the adhesive attachment and to disconnect the tubing set from the infusion base. The subject devices use a stainless steel indwelling cannula instead of the Teflon cannula in the predicate devices.

    AI/ML Overview

    This document describes the 510(k) submission for the Orbit®micro Infusion Set. This is a medical device and not an AI/ML powered device, therefore the typical acceptance criteria and study data for AI/ML devices, such as those related to accuracy, sensitivity, specificity, MRMC studies, or ground truth establishment based on expert consensus/pathology, are not applicable here.

    The provided text details the performance testing conducted to demonstrate the substantial equivalence of the Orbit®micro Infusion Set to a predicate device (K130468). The acceptance criteria are essentially the specifications that the device must meet, and the "results" column indicates whether these criteria were passed.

    Here's the information as requested, adapted to the context of a medical device rather than an AI system:

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

    TestAcceptance Criteria (Specification)Reported Device Performance
    Material strength of steel cannulaMaterial strength per ISO 9626Pass
    Activated pressure leakNo leak when subjected to pumping pressures up to 20psi under normal delivery conditions and occluded fluid path conditionsPass
    Penetration forceNeedle and catheter shall penetrate a 0.025 inch thick membrane with a speed of 50mm/min. and a force of less than 0.8NPass
    Needle retentionNo separation of the needle from the cap when subjected to a minimum force of 10N (ISO 10555-1, Annex B)Pass
    Catheter retentionNo separation of the catheter from the base when subjected to a minimum force of 3N (ISO 8536-8)Pass
    Bond strength of tubing/fittingsNo separation of the tubing assembly when subjected to a static tensile force of 15N for 15 sec.Pass
    Bond strength of tape/baseNo separation of the tape from the base when subjected to a minimum force of 18NPass
    Engagement force tubing cap/baseThe cap locks on the base with a force less than 13NPass
    Disengagement force tubing cap/baseThe force to remove the tubing cap from the base is more than 13NPass
    Occlusion testNo occlusion of the device when tested with a water flow at a hydrostatic pressure of 0.1 barPass
    Tape adhesionRemoval of adhesive from a stainless steel plate with a 90 degree peel force of minimum 2.5N (0.56lbs)Pass
    Biocompatibility Tests (ISO 10993-1)Acceptable results for: Cytotoxicity ISO MEM Elution Assay; Hemolysis ASTM Assay Extract Method; Acute Systemic Injection; Guinea Pig Maximization Sensitization; Intracutaneous reactivity study; Bacterial Endotoxin. (Specific quantifiable acceptance criteria for each sub-test are not provided in the document but are implied by "acceptable results" per the standard.)Completed with acceptable results for all listed tests.

    2. Sample sized used for the test set and the data provenance

    The document does not specify the exact sample sizes used for each performance test. The tests are physical/mechanical property tests of the device components and entire system, not tests on biological or imaging data. Therefore, data provenance in terms of country of origin or retrospective/prospective is not applicable in the typical sense for an AI/ML context. The tests were conducted by Ypsomed AG, a Swiss company.

    3. Number of experts used to establish the ground truth for the test set and the qualifications of those experts

    Not applicable. Ground truth for these types of device performance tests is established by adherence to international standards (e.g., ISO) and engineering specifications, often measured by calibrated equipment, rather than requiring expert human interpretation.

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

    Not applicable. This is not an AI/ML study involving human readers or interpretation.

    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 a medical device, not an AI system. No MRMC study was conducted.

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

    Not applicable. This is a physical medical device, not an algorithm. The performance tests ("standalone") refer to the device's inherent mechanical and material properties.

    7. The type of ground truth used

    The "ground truth" for the device's performance is based on established engineering principles, international standards (like ISO 9626, ISO 10555-1, ISO 8536-8, ISO 10993-1), and the predefined specifications set by the manufacturer to ensure the device performs as intended and is safe. This isn't "expert consensus," "pathology," or "outcomes data" in the context of diagnostic accuracy, but rather compliance with physical and biological requirements through standardized testing.

    8. The sample size for the training set

    Not applicable. This is a physical medical device, not an AI system that requires a training set.

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

    Not applicable. No training set for an algorithm was used.

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