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510(k) Data Aggregation

    K Number
    K220489
    Manufacturer
    Date Cleared
    2022-11-07

    (258 days)

    Product Code
    Regulation Number
    884.5300
    Reference & Predicate Devices
    Why did this record match?
    Device Name :

    Durex Patronus CloseFit, Durex Patronus Regular

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

    Durex Patronus CloseFit and Durex Patronus Regular condoms are used for contraception and for prophylactic purposes (to help reduce the risk of pregnancy and the transmission of sexually transmitted infections, STIs).

    Device Description

    Durex Patronus CloseFit and Durex Patronus Regular are natural rubber latex-based condoms indicated for contraception and for prophylactic purposes (to help reduce the risk of pregnancy and the transmission of sexually transmitted infections, STIs). Durex Patronus CloseFit and Durex Patronus Regular are made of a non-colored natural rubber latex with silicone lubricant and are taper shaft, teat ended smooth shaped condoms. Durex Patronus CloseFit and Durex Patronus Regular have a nominal length of 190 mm and 195 mm, width of 52.5 mm and 56 mm, and thickness of 52 microns and 54 microns, respectively. The condoms are available in regular and extra lubricant varieties with 400 mg and 480 mg silicone lubricant, respectively. The condoms are packaged in individually sealed flexible laminate foils made of polyethylene terephthalate, polyethylene, and aluminum. The foils are packaged in an outer consumer cardboard carton. The number of condoms in the carton may vary. Durex Patronus CloseFit and Durex Patronus Regular condoms are intended for over-the-counter (OTC) use. These condoms conform with FDA-recognized standards ASTM D3492-16 and ISO 4074:2015.

    AI/ML Overview

    The provided document is a 510(k) summary for Durex Patronus CloseFit and Durex Patronus Regular condoms. This document describes the device, its intended use, comparison to a predicate device, and a summary of non-clinical performance testing. It is not an AI/ML medical device submission, therefore, much of the requested information regarding AI/ML study design characteristics (e.g., test set sample size, data provenance, number of experts for ground truth, adjudication method, MRMC studies, standalone performance, training set sample size, ground truth for training set) is not applicable.

    However, I can extract the acceptance criteria and reported device performance for the physical performance testing and shelf-life as described in the document.

    Acceptance Criteria and Reported Device Performance

    Acceptance Criteria (Standard)Reported Device Performance
    Biocompatibility
    ISO 10993-5:2009/R 2014 CytotoxicityThe subject device is non-cytotoxic.
    ISO 10993-10:2010/R 2014 SensitizationThe subject device is non-sensitizing.
    ISO 10993-10:2010/R 2014 Vaginal IrritationThe subject device is non-irritating.
    ISO 10993-11:2017 Acute Systemic ToxicityThe subject device is not acutely, systemically toxic.
    Physical Performance Testing
    ISO 4074:2015 Requirements and Test MethodsThe device met all requirements.
    ASTM D3492-16 RequirementsThe device met all requirements.
    Shelf Life
    Predefined acceptance criteria based on 21 CFR 801.435All samples met predefined acceptance criteria for a 5-year shelf life.

    Study Details:

    • Sample size used for the test set and the data provenance: Not specified in the provided summary for performance testing. The document states "All samples" for the shelf-life testing, but a specific number is not given. Data provenance is not mentioned.
    • Number of experts used to establish the ground truth for the test set and the qualifications of those experts: Not applicable. This device is not an AI/ML product requiring expert ground truth for image interpretation or similar tasks.
    • Adjudication method: Not applicable.
    • If a multi reader multi case (MRMC) comparative effectiveness study was done: No. This is not an AI/ML device that requires MRMC studies.
    • If a standalone (i.e. algorithm only without human-in-the-loop performance) was done: Not applicable. This is not an AI/ML algorithm.
    • The type of ground truth used: For biocompatibility, the ground truth is established through standardized biological tests. For physical performance, the ground truth is defined by the requirements outlined in international and national standards (ISO 4074:2015 and ASTM D3492-16). For shelf life, the ground truth is based on the device maintaining its performance over time as per 21 CFR 801.435.
    • The sample size for the training set: Not applicable. This is not an AI/ML device, so there is no "training set."
    • How the ground truth for the training set was established: Not applicable.
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