Cleared Traditional

K183625 - SomnaPatch (FDA 510(k) Clearance)

Class II Anesthesiology device cleared through predicate-based substantial equivalence - typically does not require clinical trials.

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Oct 2019
Decision
296d
Days
Class 2
Risk

K183625 is an FDA 510(k) clearance for the SomnaPatch. Classified as Ventilatory Effort Recorder (product code MNR), Class II - Special Controls.

Submitted by Respironics, Inc. (Murrysville, US). The FDA issued a Cleared decision on October 18, 2019 after a review of 296 days - an extended review cycle.

This device falls under the Anesthesiology FDA review panel, regulated under 21 CFR 868.2375 - the FDA anesthesiology and respiratory device framework. The Traditional 510(k) pathway establishes clearance through substantial equivalence to a legally marketed predicate device, without requiring clinical trial data.

Device pattern: Standard predicate-based submission. Standard predicate reliance. This clearance follows a standard predicate-based equivalence path within the Anesthesiology review framework, consistent with the majority of Class II 510(k) submissions.

View all Respironics, Inc. devices

Submission Details

510(k) Number K183625 FDA.gov
FDA Decision Cleared Substantially Equivalent - Traditional 510(k) (SESE)
Date Received December 26, 2018
Decision Date October 18, 2019
Days to Decision 296 days
Submission Type Traditional
Review Panel Anesthesiology (AN)
Summary Summary PDF
Third-party Review No - reviewed directly by FDA
Regulatory Context
Review time vs. panel average
157d slower than avg
Panel avg: 139d · This submission: 296d
Pathway characteristics
Predicate-based equivalence. No clinical trials required.

Device Classification

Product Code MNR Ventilatory Effort Recorder
Device Class Class 2 - Special Controls
CFR Regulation 21 CFR 868.2375
What this classification means

Class II devices require demonstration of substantial equivalence to a legally marketed predicate device. This pathway does not require clinical trials - it relies on engineering equivalence and performance data. Most Anesthesiology devices follow this clearance model.