K Number
K241080
Manufacturer
Date Cleared
2024-08-21

(124 days)

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

Management of wounds including:

  • Partial and full-thickness wounds
  • Pressure ulcers
  • Venous ulcers
  • Chronic vascular ulcers
  • Diabetic ulcers
  • Trauma wounds (abrasions, lacerations, partial thickness burns, skin tears)
  • Surgical wounds (donor sites/grafts, post-Mohs surgery, post-laser surgery, podiatric, wound dehiscence)
  • Draining wounds
Device Description

Kerecis "Parvus™ is a lyophilized, terminally sterilized, acellular, particulate fish skin medical device comprised of biocompatible, non-crosslinked, resorbable, acellular fish skin (North Atlantic Cod) for wound management. The device is intended for single use only.

The subject device is packaged in the following weights:
100mg (4 cm2) 200mg (8 cm2) 500mg (19 cm²) 1000mg (38 cm²) 2,500mg (95 cm2 ) 3,000mg (114 cm2)

AI/ML Overview

This document is a 510(k) Premarket Notification summary for Kerecis® Parvus™, a wound dressing. It is not an AI/ML device, and therefore does not contain acceptance criteria for device performance related to AI/ML or a study proving those criteria are met. The document states that the Kerecis® Parvus™ is substantially equivalent to a predicate device, Kerecis MariGen Wound Extra (K190528), in terms of indications for use, intended use, raw material origin and composition, device performance, packaging material, and sterilization methods. The primary difference is an additional cutting and sieving step in the manufacturing process to convert the fish skin from intact sheets to fragmented pieces ≤2.0mm.

Here's a breakdown of the requested information based on the provided document, noting that many items are not applicable (N/A) due to the nature of the device:

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

    This document does not provide specific performance acceptance criteria or reported performance data in the traditional sense of a clinical or analytical study with defined metrics (e.g., accuracy, sensitivity, specificity). Instead, it asserts substantial equivalence to a predicate device based on material properties and manufacturing processes. The "Performance Characteristics" section for the subject device largely mirrors the predicate device, with differences primarily in the physical form (fragmented vs. sheets) and nominal sizes.

    CharacteristicAcceptance Criteria (Implied by Substantial Equivalence Goal)Reported Device Performance (as described)
    Source OriginWild Caught Atlantic Cod FishWild Caught Atlantic Cod Fish (Same as predicate)
    Tissue sourceFish SkinFish Skin (Same as predicate)
    Nominal SizesFragmented, size controlled to ≤2.00mmIrregular shaped 3D fragmented fish skin, size controlled to ≤2.00mm and packaged in various weights (100mg to 3,000mg). (Differs from predicate's sheet sizes, but subject device is cut from predicate device sizes).
    PresentationLyophilized, sterilized, fragmented fish skinLyophilized, sterilized, Fragmented, fish skin in a Tyvek peel pouch. (Differs from predicate's sheet presentation due to cutting and sieving).
    PackagingTyvek Single and Double Peel PouchTyvek Single and Double Peel Pouch (Same as predicate)
    SterilizationEthylene OxideEthylene Oxide (Same as predicate)
    Sterility Assurance Level (SAL)SAL 10^-6^SAL 10^-6^ (Same as predicate)
    Endotoxin limit≤20 EU/device≤20 EU/device (Same as predicate)
    Shelf LifeAt least 1 year (matching current reported)1 year (Real-time shelf life testing in progress for the subject device; predicate has 3 years).
    BiocompatibilityDemonstratedAdditional testing for biocompatibility completed (for the subject device).
    Fragmented size characterizationDemonstratedAdditional testing for fragmented size characterization completed (for the subject device).
    Ethylene oxide residualsDemonstratedAdditional testing for ethylene oxide residuals completed (for the subject device).
    Metal contaminationDemonstratedAdditional testing for metal contamination completed (for the subject device).
    Protein analysisDemonstratedAdditional testing for protein analysis completed (for the subject device).
    BioburdenDemonstratedAdditional testing for bioburden completed (for the subject device).
    Residual limitsDemonstratedAdditional testing for residual limits completed (for the subject device).
  2. Sample sizes used for the test set and the data provenance (e.g. country of origin of the data, retrospective or prospective)

    N/A. This is a 510(k) submission for a non-AI/ML medical device establishing substantial equivalence through material and manufacturing process comparisons, not a clinical study involving a test set for performance evaluation. The "additional testing" mentioned is likely laboratory bench testing on the device materials.

  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)

    N/A. Not an AI/ML device requiring expert-established ground truth.

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

    N/A. Not an AI/ML device requiring adjudication of a test set.

  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

    N/A. This device is not an AI/ML product and does not involve human readers or AI assistance.

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

    N/A. This device is not an AI/ML product.

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

    N/A. Not an AI/ML device requiring ground truth for performance evaluation. The substantial equivalence argument relies on material characteristics and manufacturing processes.

  8. The sample size for the training set

    N/A. This is not an AI/ML device with a training set.

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

    N/A. This is not an AI/ML device with a training set.

N/A