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510(k) Data Aggregation
(273 days)
NUTRISAFE ENTERAL FEEDING TUBE
For nasogastric/oralgastric enteral feeding, incorporating safety connectors which eliminate the risk of accidental connection of an I.V. system to the enteral system, or the enteral system to an I.V. system.
Nutrisafe® Enteral Feeding Tube
The provided text is a 510(k) clearance letter from the FDA for a medical device: "Vygon Nutrisafe Enteral Feeding Tube". This type of document primarily confirms that a device is substantially equivalent to a predicate device already on the market and can be legally marketed. It does not typically contain detailed information about the acceptance criteria or a specific study proving the device meets those criteria in the way described in your request (e.g., performance metrics like sensitivity, specificity, or AUC, and details about study design).
Therefore, I cannot extract the requested information from the provided text because it is not present. The letter focuses on regulatory clearance, not a performance study report.
To answer your questions, I would need a document that presents the results of a performance study for the device, including:
- A table of acceptance criteria and the reported device performance: This would typically list metrics like tensile strength, flow rate, biocompatibility testing results, etc. against predefined acceptance limits.
- Sample size used for the test set and the data provenance: Details on how many tubes were tested, where the materials came from, and if the testing was prospective (designed for the device) or retrospective (using existing data).
- 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): This is highly relevant for AI/imaging devices but unlikely for a physical medical device like an enteral feeding tube. For physical devices, ground truth is usually established through validated measurement methods or established standards.
- Adjudication method: Again, more relevant to diagnostic interpretations than physical device performance.
- If a multi reader multi case (MRMC) comparative effectiveness study was done: Not applicable for a physical feeding tube. This is for AI-powered diagnostic tools comparing human performance with and without AI assistance.
- If a standalone (i.e. algorithm only without human-in-the-loop performance) was done: Not applicable for a physical feeding tube.
- The type of ground truth used (expert consensus, pathology, outcomes data, etc.): For a feeding tube, this would likely be physical measurements, chemical analyses, or biocompatibility tests.
- The sample size for the training set: Not applicable for a non-AI physical device.
- How the ground truth for the training set was established: Not applicable for a non-AI physical device.
In summary, the provided document is a regulatory clearance letter and does not contain the detailed performance study information you are asking for.
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