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: LTW FDA class 2

Susceptibility Test Cards, Antimicrobial

Microbiology

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Antimicrobial Susceptibility Test Cards (product code LTW) are microbiology diagnostic devices used to assess the sensitivity of bacteria to various antibiotics, typically in automated identification systems. Regulated under 21 CFR 866.1640, they are classified as a Class 2 device and require a 510(k) premarket notification. The device is eligible for third-party review under the Microbiology panel. It is not an implant and is not life-sustaining.

510(k) Clearances

16 matches
K Number
Device Name
MIC-CONCEPT SYSTEM
PRECEPT CEFOPERAZONE
PRECEPT TM CARBENICILLIN
PRECEPT CEFTRIAXONE
PRECEPT METHICILLIN
PRECEPT TM AMIKACIN
PRECEPT TM TOBRAMYCIN
PRECEPT TM MOXALACTAM
PRECEPT NETILMICIN 32-13
PRECEPT KANAMYCIN
PRECEPT AVGMENTIN
PRECEPT ERYTHROMYCIN
API UNISCEPT KB
API UNISCEPT MIC 100UL
SCEPTOR BETA-LACTAM PLUS MIC PANEL
API UNISCEPT KB

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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