Tool · 510(k)

510(k) Predicate Finder

Find potential predicate devices for your 510(k) submission. Enter a K-number to find all clearances with the same product code, a three-letter product code to browse clearances directly, or search by device name.

Product Code: QNL FDA class 2

Medium-Term Adjunctive Predictive Cardiovascular Indicator

Cardiovascular

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The Medium-Term Adjunctive Predictive Cardiovascular Indicator is a prescription software device that uses algorithms to analyze cardiovascular vital signs and predict future cardiovascular status or events within a defined medium-term period, intended for adjunctive use alongside other vital sign parameters and patient information, and is not intended to independently direct therapy. This device is classified as FDA Class 2, requiring 510(k) clearance, under regulation 870.2210 in the Cardiovascular specialty. It carries product code QNL and is not an implant and not life-sustaining.

510(k) Clearances

5 matches
K Number
Device Name
eCARTv5 Clinical Deterioration Suite (“eCART”)
CLEWICU System
SignalHF (IM008)
Global Hypoperfusion Index (GHI) Algorithm
CLEWICU System (ClewICUServer and ClewICUnitor)

What is a Predicate Device?

A predicate device is a legally marketed device that a new 510(k) applicant uses to demonstrate substantial equivalence. The FDA's 510(k) pathway requires manufacturers to show that their device has the same intended use and similar technological characteristics as one or more predicate devices already cleared for commercial distribution.

Finding the right predicate is a critical step in 510(k) strategy. Manufacturers typically search for cleared devices with the same FDA product code, which groups devices by their intended use and regulatory classification. This tool helps you identify potential predicates by browsing all clearances within a product code.

Note that predicate devices must be legally marketed — they cannot be devices that were cleared but never commercialized, or devices subject to a mandatory recall. The determination of substantial equivalence considers intended use, technological characteristics, and performance data.

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