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510(k) Data Aggregation
(73 days)
Medline ReNewal Reprocessed Compression Limb Sleeves are designed to be used with a pump system to apply sequential compression to the lower limbs to prevent deep vein thrombosis.
Medline ReNewal Reprocessed Compression Limb Sleeves are used with a pump system to apply sequential compression to the lower limbs (leg and foot). They are made of a variety of materials and come in various sizes. They are originally manufactured as single use devices.
I am sorry, but the provided text is a 510(k) summary for a medical device and does not contain the detailed information required to describe the acceptance criteria and the comprehensive study that proves the device meets those criteria. The document explicitly states:
- "The functional characteristics of the proposed devices have been evaluated and found to be equivalent to the predicate devices after the specified number of reprocessing cycles."
- "Testing included: bioburden testing; biocompatibility testing (cytotoxicity, irritation, sensitization); cleaning process validation; equipment qualification; and visual inspection."
While these are types of tests performed, the document does not provide:
- A table of acceptance criteria and reported device performance: It lists types of tests but not specific criteria (e.g., "bioburden must be < X CFU/device") or the quantitative results from these tests.
- Sample size used for the test set and data provenance: No details on how many devices were tested or where the devices/data originated.
- Number of experts used to establish the ground truth and their qualifications: This type of information is typically not relevant for reprocessing validation studies, which focus on objective physical, chemical, and biological measures.
- Adjudication method: Not applicable for the types of tests described.
- Multi-reader multi-case (MRMC) comparative effectiveness study: Not applicable as this is a reprocessing validation, not an AI or diagnostic imaging study.
- Standalone performance: While the tests are for the device itself (standalone), there are no specific performance metrics like sensitivity/specificity often seen in diagnostic device studies.
- Type of ground truth used: Not applicable in the context of bioburden or biocompatibility tests. The "ground truth" would be established by validated analytical methods.
- Sample size for the training set: Not applicable as this is not an AI/machine learning device.
- How the ground truth for the training set was established: Not applicable.
The document is primarily a regulatory filing to demonstrate substantial equivalence to a predicate device, focusing on the safety and effectiveness of the reprocessing method. It does not elaborate on the specific methodologies or detailed results of the performance testing in a way that would satisfy the comprehensive request.
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