ETEST® is a manual, quantitative technique for determination of antimicrobial susceptibility of non-fastidious Gram-negative and Gram-positive aerobic bacteria and fastidious bacteria. The system comprises a predefined antibiotic gradient which is used to determine the Minimum Inhibitory Concentration (MIC, in ug/mL) of different antimicrobial agents against microorganisms tested on agar media after overnight incubation. Meropenem/Vaborbactam has been shown to be active against the Gram-negative aerobic microorganisms listed below according to the FDA label for this antimicrobial agent. ETEST® MEV can be used to determine the MIC of Meropenem/Vaborbactam against the following microorganisms: Active both in vitro and in clinical infections: Enterobacter cloacae complex Escherichia coli Klebsiella pneumoniae
Device Story
ETEST® is a thin, inert, non-porous plastic strip with a predefined antibiotic gradient (Meropenem 0.004–64 µg/mL; Vaborbactam 8 µg/mL) on one side and an MIC reading scale on the other. Used in clinical microbiology laboratories; applied to inoculated agar surfaces. Antibiotic gradient transfers into agar, forming a stable, continuous, exponential concentration gradient. After overnight incubation, bacterial growth forms a symmetrical inhibition ellipse intersecting the strip. Clinicians read the MIC value at the intersection point. Provides quantitative susceptibility data to guide antibiotic therapy selection for patients with infections caused by specific Gram-negative bacteria. Benefits include precise MIC determination to optimize treatment efficacy.
Clinical Evidence
Bench testing only. Performance evaluated by comparing ETEST® Meropenem/Vaborbactam against CLSI broth microdilution reference method using clinical isolates (fresh and stock) and challenge strains. For Enterobacteriaceae (excluding P. mirabilis), Essential Agreement was 95.8% and Category Agreement was 99.3%.
Technological Characteristics
Thin, inert, non-porous plastic strip; predefined antibiotic gradient; manual application to agar media. No electronic components or software algorithms. Sterilization method not specified. Dimensions/form factor: strip-based gradient diffusion.
Indications for Use
Indicated for determination of antimicrobial susceptibility (MIC) of non-fastidious Gram-negative and Gram-positive aerobic bacteria and fastidious bacteria to Meropenem/Vaborbactam. Specifically for Enterobacter cloacae complex, Escherichia coli, and Klebsiella pneumoniae. Contraindicated for Proteus mirabilis and bacteria producing metallo-beta-lactamases, oxacillinases with carbapenemase activity, or porin mutations with efflux pump overexpression.
Regulatory Classification
Identification
An antimicrobial susceptibility test powder is a device that consists of an antimicrobial drug powder packaged in vials in specified amounts and intended for use in clinical laboratories for determining in vitro susceptibility of bacterial pathogens to these therapeutic agents. Test results are used to determine the antimicrobial agent of choice in the treatment of bacterial diseases.
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# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION
DECISION SUMMARY
ASSAY ONLY TEMPLATE
A. 510(k) Number:
K183031
B. Purpose for Submission:
To obtain a substantial equivalence determination for Meropenem/Vaborbactam at concentrations of 0.004/8 – 64/8 µg/mL for susceptibility testing of Gram-negative aerobic microorganisms with ETEST.
C. Measurand:
Meropenem/Vaborbactam 0.004/8 – 64/8 µg/mL
D. Type of Test:
Quantitative AST growth-based detection
E. Applicant:
bioMérieux, Inc.
F. Proprietary and Established Names:
ETEST Meropenem/Vaborbactam (MEV) (0.004/8 – 64/8 µg/mL)
G. Regulatory Information:
1. Regulation section:
866.1640 Antimicrobial Susceptibility Test Powder
2. Classification:
II
3. Product code:
JWY – Manual Antimicrobial Test Systems
4. Panel:
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83 – Microbiology
# H. Intended Use:
# 1. Intended use(s):
ETEST is a manual, quantitative technique for determination of antimicrobial susceptibility of non-fastidious Gram-negative and Gram-positive aerobic bacteria and fastidious bacteria. The system comprises a predefined antibiotic gradient which is used to determine the Minimum Inhibitory Concentration (MIC, in µg/mL) of different antimicrobial agents against microorganisms tested on agar media after overnight incubation.
Meropenem/Vaborbactam has been shown to be active against the Gram-negative aerobic microorganisms listed below according to the FDA label for this antimicrobial agent.
ETEST MEV can be used to determine the MIC of Meropenem/Vaborbactam against the following microorganisms:
Active both in vitro and in clinical infections:
Enterobacter cloacae complex
Escherichia coli
Klebsiella pneumoniae
In vitro data are available for the following microorganisms, but clinical significance is unknown:
Citrobacter freundii
Citrobacter koseri
Klebsiella aerogenes
Klebsiella oxytoca
Morganella morganii
Providencia spp.
Serratia marcescens
# 2. Indication(s) for use:
Same as Intended Use
# 3. Special conditions for use statement(s):
For prescription use only
Limitation:
o ETEST Meropenem/Vaborbactam (MEV) must not be used for susceptibility testing of Proteus mirabilis. When testing this organism, the EA did not meet
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acceptance performance during comparative testing.
o The ability of the ETEST Meropenem/Vaborbactam to detect the following resistant Enterobacteriaceae isolates is unknown because resistant isolates were either not available or an insufficient number was encountered at the time of comparative testing: C. freundii, C. koseri. K. aerogenes, E. cloacae complex, E. coli, K. oxytoca, K. pneumoniae, M. morganii, P. rettgeri, P. stuartii, and S. marcescens.
o The safety and efficacy of Meropenem/Vaborbactam in treating clinical infections due to bacteria other than E. cloacae complex, E. coli, and K. pneumoniae may or may not have been established in adequate and well-controlled clinical trials and the clinical significance of such susceptibility information in those instances is unknown.
4. Special instrument requirements:
Not applicable
# I. Device Description:
ETEST consists of a thin, inert and non-porous plastic strip 5mm wide and 60 mm long. One side of the strip carries a three letter code designating the identity of the antibiotic and is calibrated with MIC values in terms of µg/mL. On the reverse, a predefined exponential gradient of the dried and stabilized antibiotic covers a continuous concentration range across 15 two-fold dilutions of a conventional MIC method.
# J. Substantial Equivalence Information:
1. Predicate device name(s):
ETEST Ceftazidime/Avibactam
2. Predicate 510(k) number(s):
K172150
3. Comparison with predicate:
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Table 1: Comparison with the Predicate Device
| Item | DeviceK183031ETESTMeropenem/Vaborbactam | PredicateK172150ETESTCeftazidime/Avibactam |
| --- | --- | --- |
| Similarities | | |
| Intended Use | ETEST is a manual, quantitative technique for determination of antimicrobial susceptibility of non-fastidious Gram-negative and Gram-positive aerobic bacteria and fastidious bacteria. The system comprises a predefined antibiotic gradient which is used to determine the Minimum Inhibitory Concentration (MIC, in μg/mL) of different antimicrobial agents against microorganisms tested on agar media after overnight incubation. | Same |
| Test Design | A predefined exponential gradient of the dried and stabilized antibiotic covers a continuous concentration range across 15 two-fold dilutions of a conventional MIC method. | Same |
| Inoculation | Isolated colonies from culture | Same |
| Incubation | 35°±2°C for 16 – 20 hours | Same |
| Result | MIC | Same |
| Differences | | |
| --- | --- | --- |
| Antimicrobial Agent | Meropenem/Vaborbactam | Ceftazidime/Avibactam |
| Antimicrobial Concentration Range | 0.004/8 – 64/8 μg/mL | 0.016/4 – 256/4 μg/mL |
### K. Standard/Guidance Document Referenced (if applicable):
Class II Special Controls Guidance Document: Antimicrobial Susceptibility Test (AST) Systems; Guidance for Industry and FDA
CLSI M02-A12, Performance Standards for Antimicrobial Disk Susceptibility Test; Approved Standard, January 2015.
CLSI M07-A10, Method for Dilution Antimicrobial Susceptibility Tests for Bacteria That Grow Aerobically; Approved Standard, January 2015.
CLSI M100-28 \( ^{th} \) ed., Performance Standards for Antimicrobial Susceptibility Testing; Volume 38, No. 1, January 2018.
### L. Test Principle:
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The ETEST consists of a thin, inert, nonporous plastic strip that is used to determine the antimicrobial susceptibility of bacteria. One side of the strip carries the minimum inhibitory concentration (MIC) reading scale expressed in \( \mu \) g/mL. The other side of the strip contains a predefined continuous gradient of antibiotic concentrations.
When the strip is applied to an inoculated agar surface, the preformed antibiotic gradient immediately transfers into the agar matrix, then forming a stable, continuous and exponential gradient of antibiotic concentrations directly underneath the strip. Bacteria growth becomes visible during incubation, and a symmetrical inhibition ellipse centered along the strip appears. After incubation, the MIC value is read from the scale in terms of \( \mu \) g/mL at complete inhibition of bacterial growth, where the pointed end of the ellipse intersects the strip. Since ETEST generates MIC values which fall between two-fold dilutions for interpretation, the MIC value read must be recorded to the next two-fold dilution.
The MIC gradient on ETEST Meropenem/Vaborbactam ranges from 0.004/8 – 64/8 \( \mu \) g/mL.
### M. Performance Characteristics (if/when applicable):
#### 1. Analytical performance:
a. Precision/Reproducibility:
A reproducibility study was conducted at three external sites using 10 isolates of Gram negative organisms that were consistent with the intended use. The isolates tested included E. coli (3), K. pneumoniae (3), C. freundii (1), K. aerogenes (1), E. cloacae (1), and S. marcescens (1).
Most of the results were within \( \pm \) 1 doubling dilution of the MIC mode for Meropenem/Vaborbactam. The reproducibility was acceptable at 99.6%.
b. Linearity/assay reportable range:
Not applicable
c. Traceability, Stability, Expected values (controls, calibrators, or methods):
Inoculum Density Check. Inoculum density checks were performed for all quality control and reproducibility organism suspensions and for 10% of the suspensions prepared for susceptibility testing of the fresh clinical isolates.
The mean inoculum density of E. coli ATCC 25922 was acceptable at \( 4.83 \times 10^{5} \) CFU/mL.
Purity Check. All clinical, challenge and reproducibility test suspensions were subcultured to assure purity.
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**Growth or Device Failure.** There were no growth or device failures during the course of the study.
**Quality Control Testing.** QC organisms for meropenem/vaborbactam recommended by both FDA and the CLSI were tested at four sites. The QC organisms tested included *E. coli* ATCC 25922, *K. pneumoniae* ATCC 700603, *K. pneumoniae* ATCC BAA-1705, and *P. aeruginosa* ATCC 27853. These QC strains were tested a minimum of 20 times per site by both the ETEST and the reference method. The results demonstrate that the meropenem/vaborbactam ETEST can produce quality control results in the recommended range > 95% of the time. See Table 2.1 below for summary of the QC results.
Table 2.1: Quality Control Summary for Meropenem/Vaborbactam
| QC Organism | Meropenem/Vaborbactam Expected Range (μg/mL) | Concentration (μg/mL) | Reference | ETEST |
| --- | --- | --- | --- | --- |
| *E. coli* ATCC 25922 | 0.008/8 – 0.064/8 | <0.008 | | |
| | | 0.008 | | |
| | | 0.016 | 32 | 85 |
| | | 0.032 | 54 | 1 |
| | | 0.064 | | |
| | | >0.064 | | |
| *K. pneumoniae* ATCC 700603 | 0.016/8 – 0.064/8 | <0.016 | | |
| | | 0.016 | | 1 |
| | | 0.032 | 69 | 70 |
| | | 0.064 | 15 | 15 |
| | | >0.064 | 2 | |
| *K. pneumoniae* ATCC BAA-1705 | 0.008/8 – 0.064/8 | <0.008 | | |
| | | 0.008 | | |
| | | 0.016 | 24 | 17 |
| | | 0.032 | 56 | 68 |
| | | 0.064 | 5 | 1 |
| | | >0.064 | | |
| *P. aeruginosa* ATCC 27853 | 0.125/8 – 1/8 | <0.125 | | |
| | | 0.125 | 5 | 1 |
| | | 0.25 | 56 | 80 |
| | | 0.5 | 19 | 4 |
| | | 1 | 6 | 1 |
| | | >1 | | |
Additionally and to ensure that the plasmid encoding β-lactamse has not been lost in QC isolate *K. pneumoniae* ATCC BAA-1705, this strain was tested using a meropenem alone. Testing was evaluated by disk diffusion method as recommended
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by CLSI M100. Meropenem disk at concentration of 10 \( \mu \) g was tested at four sites and the results are shown in Table 2.2 below.
Table 2.2: Performance Summary of Meropenem- Disk Diffusion
| QC Organism | Meropenem (10 μg) Expected Range (mm) | Zone size (mm) | Disk Results |
| --- | --- | --- | --- |
| K. pneumoniaeATCCBAA-1705 | 11 – 18 | <11 | |
| | | 11 | 10 |
| | | 12 | 13 |
| | | 13 | 8 |
| | | 14 | 9 |
| | | 15 | 18 |
| | | 16 | 9 |
| | | 17 | 3 |
| | | 18 | |
| | | >18 | |
Test results K. pneumoniae ATCC BAA-1705 with meropenem demonstrated the integrity of the QC isolate with 100% (70/70) of the results within the expected range.
d. Detection limit:
Not applicable
e. Analytical specificity:
Not applicable
f. Assay cut-off:
Not applicable
2. Comparison studies:
a. Method comparison with predicate device:
Results obtained with ETEST Meropenem/Vaborbactam were compared to results obtained with the CLSI broth microdilution reference panel. The CLSI panel was prepared and interpreted according to CLSI recommendations outlined in the CLSI Standard: CLSI Document M07-A10, Methods for Dilution Antimicrobial Susceptibility Tests for Bacteria that Grow Aerobically; Approved Standard – Tenth Edition, January 2015. The testing conditions for the reference method consisted of the following:
- Medium – Cation-adjusted Mueller Hinton Broth with appropriate dilutions of antimicrobial solution added
- Inoculum – Direct colony suspension to achieve a suspension equivalent to a
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### 0.5 McFarland standard suspension
• Incubation 35 °C in ambient air; 16-20 hours for all organisms
Clinical testing was performed at four sites using a total of 550 clinical isolates. There were 313 fresh isolates (56.9%), 110 (20.0%) recent isolates, and 127 (23.1%) stock isolates. Clinical isolates were tested using both ETEST and the reference method. During the comparative testing, the EA performance of the 31 P. mirabilis isolates did not meet the acceptance criteria and therefore was removed from the dataset. As a result, there were a total of 519 clinical isolates after excluding the 31 P. mirabilis isolates. This organism was also removed from the indicated organisms in the indications for use statement.
A total of 79 challenge isolates were tested at a single site using ETEST and the reference method. The EA performance of the four P. mirabilis isolates also did not meet the acceptance criteria and was excluded from the calculation, resulting in a total of 75 challenge isolates after excluding the four P. mirabilis isolates.
The comparative study (both clinical and challenge) included 594 Enterobacteriaceae isolates. They were: C. freundii (32), C. koseri (32), K. aerogenes (33), E. cloacae spp. complex (98), E. coli (136), K. oxytoca (31), K. pneumoniae (128), M. morganii (31), P. rettgeri (21), P. stuartii (21), and S. marcescens (31).
Information on the Enterobacteriaceae isolates was added as a footnote to the performance table in the package insert:
The performance data presented for Enterobacteriaceae exclude Proteus mirabilis. There were C. freundii (32), C. koseri (32), K. aerogenes (33), E. cloacae complex (98), E. coli (136), K. oxytoca (31), K. pneumoniae (128), M. morganii (31), P. rettgeri (21), P. stuartii (21), and S. marcescens (31).
The performance of the 594 clinical and challenge isolates is summarized in Table 3.
Table 3: Performance of Enterobacteriaceae, Excluding P. mirabilis
| | Tot | No. EA | EA% | Eval Tot | No. Eval EA | Eval EA% | No. CA | CA% | No. R | min | maj | vmj |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| C. freundii | | | | | | | | | | | | |
| Clinical | 30 | 29 | 96.7 | 30 | 29 | 96.7 | 30 | 100 | 0 | 0 | 0 | 0 |
| Challenge | 2 | 2 | 100 | 2 | 2 | 100 | 2 | 100 | 0 | 0 | 0 | 0 |
| Combined | 32 | 31 | 96.9 | 32 | 31 | 96.6 | 32 | 100 | 0 | 0 | 0 | 0 |
| C. koseri | | | | | | | | | | | | |
| Clinical | 30 | 29 | 96.7 | 30 | 29 | 96.7 | 30 | 100 | 0 | 0 | 0 | 0 |
| Challenge | 2 | 2 | 100 | 2 | 2 | 100 | 2 | 100 | 0 | 0 | 0 | 0 |
| Combined | 32 | 31 | 96.9 | 32 | 31 | 96.9 | 32 | 100 | 0 | 0 | 0 | 0 |
| Klebsiella (Enterobacter) aerogenes | | | | | | | | | | | | |
| Clinical | 30 | 28 | 93.3 | 30 | 28 | 93.3 | 30 | 100 | 0 | 0 | 0 | 0 |
| Challenge | 3 | 3 | 100 | 3 | 3 | 100 | 3 | 100 | 0 | 0 | 0 | 0 |
| Combined | 33 | 31 | 93.9 | 33 | 31 | 93.9 | 33 | 100 | 0 | 0 | 0 | 0 |
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| | Tot | No. EA | EA% | Eval Tot | No. Eval EA | Eval EA% | No. CA | CA% | No. R | min | maj | vmj |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| E. cloacae complex | | | | | | | | | | | | |
| Clinical | 90 | 90 | 100 | 90 | 90 | 100 | 90 | 100 | 0 | 0 | 0 | 0 |
| Challenge | 8 | 8 | 100 | 8 | 8 | 100 | 8 | 100 | 0 | 0 | 0 | 0 |
| Combined | 98 | 98 | 100 | 98 | 98 | 100 | 98 | 100 | 0 | 0 | 0 | 0 |
| E. coli | | | | | | | | | | | | |
| Clinical | 120 | 116 | 96.7 | 119 | 116 | 97.5 | 120 | 100 | 0 | 0 | 0 | 0 |
| Challenge | 16 | 16 | 100 | 15 | 15 | 100 | 15 | 93.8 | 2 | 1 | 0 | 0 |
| Combined | 136 | 132 | 97.1 | 134 | 131 | 97.8 | 135 | 99.3 | 2 | 1 | 0 | 0 |
| K. oxytoca | | | | | | | | | | | | |
| Clinical | 30 | 30 | 100 | 30 | 30 | 100 | 30 | 100 | 0 | 0 | 0 | 0 |
| Challenge | 1 | 1 | 100 | 1 | 1 | 100 | 1 | 100 | 0 | 0 | 0 | 0 |
| Combined | 31 | 31 | 100 | 31 | 31 | 100 | 31 | 100 | 0 | 0 | 0 | 0 |
| K. pneumoniae | | | | | | | | | | | | |
| Clinical | 88 | 86 | 97.7 | 87 | 85 | 97.7 | 88 | 100 | 1 | 0 | 0 | 0 |
| Challenge | 40 | 37 | 92.5 | 32 | 30 | 93.8 | 38 | 95.0 | 10 | 2 | 0 | 0 |
| Combined | 128 | 123 | 96.1 | 119 | 115 | 96.6 | 126 | 98.4 | 11 | 2 | 0 | 0 |
| M. morganii | | | | | | | | | | | | |
| Clinical | 30 | 25 | 83.3 | 30 | 25 | 83.3 | 30 | 100 | 0 | 0 | 0 | 0 |
| Challenge | 1 | 1 | 100 | 1 | 1 | 100 | 1 | 100 | 0 | 0 | 0 | 0 |
| Combined | 31 | 26 | 83.9 | 31 | 26 | 83.9 | 31 | 100 | 0 | 0 | 0 | 0 |
| P. rettgeri | | | | | | | | | | | | |
| Clinical | 21 | 17 | 81.0 | 21 | 17 | 81.0 | 21 | 100 | 0 | 0 | 0 | 0 |
| P. stuartii | | | | | | | | | | | | |
| Clinical | 20 | 18 | 90.0 | 20 | 18 | 90.0 | 20 | 100 | 0 | 0 | 0 | 0 |
| Challenge | 1 | 1 | 100 | 1 | 1 | 100 | 1 | 100 | 0 | 0 | 0 | 0 |
| Combined | 21 | 19 | 90.5 | 21 | 19 | 90.5 | 21 | 100 | 0 | 0 | 0 | 0 |
| S. marcescens | | | | | | | | | | | | |
| Clinical | 30 | 29 | 96.7 | 30 | 29 | 96.7 | 29 | 96.7 | 0 | 1 | 0 | 0 |
| Challenge | 1 | 1 | 100 | 1 | 1 | 100 | 1 | 100 | 0 | 0 | 0 | 0 |
| Combined | 31 | 30 | 96.8 | 31 | 30 | 96.8 | 30 | 96.8 | 0 | 1 | 0 | 0 |
| Enterobacteriaceae, Excluding P. mirabilis | | | | | | | | | | | | |
| Clinical | 519 | 497 | 95.8 | 517 | 496 | 95.9 | 518 | 99.8 | 1 | 1 | 0 | 0 |
| Challenge | 75 | 72 | 96.0 | 66 | 64 | 97.0 | 72 | 96.0 | 12 | 3 | 0 | 0 |
| Combined | 594 | 569 | 95.8 | 583 | 560 | 96.1 | 590 | 99.3 | 13 | 4 | 0 | 0 |
EA – Essential Agreement (+/- 1 dilution)
CA – Category Agreement
EVAL – Evaluable isolates
R - Resistant isolates
min – minor discrepancies
maj – major discrepancies
vmj – very major discrepancies
Essential Agreement (EA) occurs when the result of the reference method and that of ETEST
Meropenem/Vaborbactam are within plus or minus one serial two-fold dilution of the antibiotic. Evaluable results are those that are on scale for both ETEST Meropenem/Vaborbactam and the reference method.
Category Agreement (CA) occurs when the interpretation of the result of the reference method agrees exactly with the interpretation of ETEST Meropenem/Vaborbactam.
### Overall Performance:
The overall performance of the ETEST Meropenem/Vaborbactam for
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Enterobacteriaceae, with P. mirabilis removed, is acceptable at 95.8% EA and 99.3% CA. There were no very major or major discrepancies; the minor discrepancy rate was 0.7% (4/594). There were 13 isolates (11 K. pneumoniae and 2 E. coli) that were resistant to Meropenem/Vaborbactam in the comparative studies. A limitation was included in the package insert:
The ability of the ETEST Meropenem/Vaborbactam to detect the following resistant Enterobacteriaceae isolates is unknown because resistant isolates were either not available or an insufficient number was encountered at the time of comparative testing: C. freundii, C. koseri, K. aerogenes, E. cloacae complex, E. coli, K. oxytoca, K. pneumoniae, M. morganii, P. rettgeri, P. stuartii, and S. marcescens.
## Inoculator and ETEST Strip Applicator Options
Culture media plates for ETEST are traditionally inoculated and streaked by swabs; ETEST strips are applied onto inoculated media by forceps. In the Meropenem/Vaborbactam studies, inoculator RETRO C80 was used at two sites and manual strip applicator, vacuum pen NEMA C88 was used at one site. The footnote below is added to the performance table in the package insert:
Optional inoculator and ETEST strip applicator were used for plate inoculation and applying ETEST strips onto agar media. In the studies, swab and Retro C80 were used for plate inoculation/streaking, forceps and vacuum pen NEMA C88 were used for ETEST strip applications.
## MIC Trends:
Using the combined claiical and challenge data for Enterobacteriaceae, an analysis of trending was conducted. Trending was assessed using current trending review criteria (i.e., ≥30% difference between higher and lower dilution readings). This trending calculation considers MIC values that are determined to be one or more doubling dilution lower or higher compared to the reference method irrespective whether the device MIC values are on-scale or not. The analysis is presented in Table 4.1 for Enterobacteriaceae excluding P. mirabilis.
Table 4.1: Trending Analysis for Enterobacteriaceae (Clinical and Challenge Combined), Excluding P. mirabilis
| Total | ≥2 dil lower | 1 dil lower | Exact | 1 dil higher | ≥2 dil higher |
| --- | --- | --- | --- | --- | --- |
| *Enterobacteriaceae*^{‡} | | | | | |
| 594 | 21 | 224 | 330 | 15 | 4 |
| | 245 (41.25%) | | (55.56%) | 19 (3.20%) | |
‡ Percent difference between the higher and lower dilution trends for Enterobacteriaceae is: -38.05%; 95% CI (-42.21% to -33.78%)
NOTE: A negative percent difference value indicates lower MIC when compared to the reference method.
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Trending was observed with Enterobacteriaceae. The difference between higher and lower dilutions was -38.05%. The following footnote was included in the labeling to address the trending:
ETEST Meropenem/Vaborbactam MIC values tended to be in exact agreement or at least one doubling dilution lower when testing Enterobacteriaceae compared to the CLSI reference broth microdilution.
MIC trends for each intended Enterobacteriaceae species was also evaluated as noted in Table 4.2 below.
Table 4.2: Trending Analysis of Enterobacteriaceae, Excluding P. mirabilis (by species)
| Total | ≥2 dil lower | 1 dil lower | Exact | 1 dil higher | ≥2 dil higher |
| --- | --- | --- | --- | --- | --- |
| *C. freundii*^{a} | | | | | |
| 32 | 1 | 4 | 27 | 0 | 0 |
| | 5 (15.63%) | | (84.38%) | 0 (0.00%) | |
| *C. koseri*^{b} | | | | | |
| 32 | 1 | 8 | 23 | 0 | 0 |
| | 9 (28.13%) | | (71.88%) | 0 (0.00%) | |
| *E. aerogenes*^{c} | | | | | |
| 33 | 2 | 7 | 24 | 0 | 0 |
| | 9 (27.27%) | | (72.73%) | 0 (0.00%) | |
| *E. cloacae* complex^{d} | | | | | |
| 98 | 0 | 36 | 57 | 5 | 0 |
| | 36 (36.73%) | | (58.16%) | 5 (5.10%) | |
| *E. coli*^{e} | | | | | |
| 136 | 2 | 57 | 71 | 4 | 2 |
| | 59 (43.38%) | | (52.21%) | 6 (4.41%) | |
| *K. oxytoca*^{f} | | | | | |
| 31 | 0 | 14 | 17 | 0 | 0 |
| | 14 (45.16%) | | (54.84%) | 0 (0.00%) | |
| *K. pneumoniae*^{g} | | | | | |
| 128 | 4 | 34 | 84 | 5 | 1 |
| | 38 (29.69%) | | (65.63%) | 6 (4.69%) | |
| *M. morganii*^{h} | | | | | |
| 31 | 4 | 19 | 7 | 0 | 1 |
| | 23 (74.19%) | | (22.58%) | 1 (3.23%) | |
| *P. rettgeri*^{i} | | | | | |
| 21 | 4 | 13 | 4 | 0 | 0 |
| | 17 (80.95%) | | (19.05%) | 0 (0.00%) | |
| *P. stuartii*^{j} | | | | | |
| 21 | 2 | 13 | 6 | 0 | 0 |
| | 15 (71.43%) | | (28.57%) | 0 (0.00%) | |
| *S. marcescens*^{k} | | | | | |
| 31 | 1 | 19 | 10 | 1 | 0 |
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| Total | ≥2 dil lower | 1 dil lower | Exact | 1 dil higher | ≥2 dil higher |
| --- | --- | --- | --- | --- | --- |
| | 20 (64.52%) | | (32.26%) | 1 (3.23%) | |
\( ^{a} \) Percent difference between the higher and lower dilution trends for C.freundii is -15.63%; 95% CI (-31.75% to -1.78%)
\( ^{b} \) Percent difference between the higher and lower dilution trends for C. koseri is 28.13%; 95% CI (-45.37% to -11.61%)
\( ^{c} \) Percent difference between the higher and lower dilution trends for E. aerogenes is -27.27%; 95% CI (-44.22% to -11.22%)
\( ^{d} \) Percent difference between the higher and lower dilution trends for E. cloacae complex is: -31.63%; 95%CI (-41.93% to -77.26%)
\( ^{e} \) Percent difference between the higher and lower dilution trends for E. coli is: -38.97%; 95% CI (-47.70% to -29.57%)
\( ^{f} \) Percent difference between the higher and lower dilution trends for K. oxytoca is: -45.16%; 95% CI (-62.23% to -25.73%)
\( ^{g} \) Percent difference between the higher and lower dilution trends for K. pneumoniae is: -25%; 95% CI (-33.78% to -16.12%)
\( ^{h} \) Percent difference between the higher and lower dilution trends for M. morganii is: -70.97%; 95% CI (-83.36% to -49.23%)
\( ^{i} \) Percent difference between the higher and lower dilution trends for P. rettgeri is: -80.95%; 95% CI (-92.33% to -54.91%)
\( ^{j} \) Percent difference between the higher and lower dilution trends for P. stuartii is: -71.43%; 95% CI (-86.19% to -45.04%)
\( ^{k} \) Percent difference between the higher and lower dilution trends for S. marcescens is: -61.29% 95% CI (-75.90% to -39.45%)
### Resistance Markers
Resistance markers for indicated Enterobacteriaceae isolates were provided in the submission. They consisted mostly of beta-lactamases including AmpC (ACT, CMY, DHA), ESBL (CTX-M, TEM, SHV), carbapenemases (KPC, OXA, NDM, VIM, SME). Class A beta-lactamase (LEN-16) was also included. The study showed that isolates with metallo-beta-lactamases (NDM, and/or VIM) and OXA carbapenemases were resistant to meropenem/vaborbactam as stated in the drug labeling. The footnote below is added to the performance table in the package insert:
Meropenem/Vaborbactam is not active against bacteria that produce metallo-beta-lactamases, oxacillinases with carbapenemase activity, or porin mutations combined with overexpression of efflux pumps.
b. Matrix comparison:
Not applicable
3. Clinical studies:
a. Clinical Sensitivity:
Not applicable
b. Clinical specificity:
12
{12}
Not applicable
c. Other clinical supportive data (when a. and b. are not applicable):
Not applicable
4. Clinical cut-off:
Not applicable
5. Expected values/Reference range:
FDA susceptibility categories for meropenem/vaborbactam are listed in Table 5.
Table 5: FDA Recognized Interpretive Criteria for Meropenem/Vaborbactam ( \( \mu \) g/mL)
| | Susceptible (S) | Intermediate (I) | Resistant (R) |
| --- | --- | --- | --- |
| Enterobacteriaceae | \( \leq 4/8 \) | 8/8 | \( \geq 16/8 \) |
### N. Proposed Labeling:
The labeling supports the finding of substantial equivalence for this device.
### O. Conclusion:
The submitted information in this premarket notification is complete and supports a substantial equivalence decision.
13
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Learn the FDA Browser
Two short videos show you everything — or skip straight to the written tutorial if you'd rather read. You can reopen this any time from the Tutorial button in the top bar.
Part 1 — Search, results, and everyday workflows 16 min
Part 2 — Embeddings: the galaxy map 3 min
1. Search: exact and fuzzy
Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
Use the checkboxes above the results to narrow: SaMD keeps only software-only devices, AI / ML keeps only devices with AI.
Exact vs. fuzzy search: what's the difference?
Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.