VITEK® 2 AST-Gram Negative Meropenem is designed for antimicrobial susceptibility testing of Gram negative bacilli and is intended for use with the VITEK® 2 and VITEK® 2 Compact Systems as a laboratory aid in the determination of in vitro susceptibility to antimicrobial agents. VITEK® 2 AST-Gram Negative Meropenem in is a quantitative test. Meropenem has been shown to be active against most strains of the microorganisms listed below, according to the FDA label for this antimicrobial. Escherichia coli Klebsiella pneumoniae Proteus mirabilis Pseudomonas aeruginosa In vitro data are available, but clinical significance is unknown: Citrobacter freundii Citrobacter koseri Enterobacter cloacae Hafnia alvei Klebsiella oxytoca Morganella morganii Serratia marcescens The VITEK® 2 Gram Negative Susceptibility Card Meropenem also reports susceptibility for the following additional organisms as listed on the FDA Susceptibility Test Interpretive Criteria website: Acinetobacter spp. The VITEK® 2 Gram-Negative Susceptibility Card is intended for use with the VITEK® 2 Systems in clinical laboratories as an in vitro test to determine the susceptibility of clinically significant aerobic Gram-negative bacilli to antimicrobial agents when used as instructed.
Device Story
VITEK 2 AST-Gram Negative Meropenem card; miniaturized, automated microdilution MIC test. Input: bacterial/yeast isolate diluted in 0.45-0.5% saline. Operation: card contains 64 wells with premeasured antibiotic concentrations and culture media; VITEK 2 system automatically fills, seals, and incubates; monitors growth in each well over time. Output: MIC value and interpretive category result. Used in clinical laboratories by technicians/microbiologists. Output assists clinicians in selecting appropriate antimicrobial therapy for patients with Gram-negative infections.
Clinical Evidence
Bench testing only. External evaluation conducted with 1070 clinical isolates (fresh and stock) and challenge strains. Performance compared to CLSI broth microdilution reference method. Overall performance: 95.0% Essential Agreement (EA) and 95.0% Categorical Agreement (CA). Specific results: Enterobacterales (94.4% EA, 97.0% CA), P. aeruginosa (94.7% EA, 89.7% CA), and Acinetobacter spp. (96.8% EA, 96.3% CA). Very Major Error (VME) rates were 0.0% across all groups.
Technological Characteristics
Automated growth-based detection; optical scanner measures light attenuation (transmittance) every 15 minutes. 64-well AST cards containing nutrient media and premeasured meropenem. Inoculum standardized via DensiCHEK Plus (0.5 McFarland). System software (v9.02) performs analysis. Standalone system. Sterilization: not specified.
Indications for Use
Indicated for antimicrobial susceptibility testing of clinically significant aerobic Gram-negative bacilli (including Escherichia coli, Klebsiella pneumoniae, Proteus mirabilis, Pseudomonas aeruginosa, Citrobacter spp., Enterobacter cloacae, Hafnia alvei, Klebsiella oxytoca, Morganella morganii, Serratia marcescens, and Acinetobacter spp.) in clinical laboratories using VITEK 2 or VITEK 2 Compact systems.
Regulatory Classification
Identification
A fully automated short-term incubation cycle antimicrobial susceptibility system is a device that incorporates concentrations of antimicrobial agents into a system for the purpose of determining in vitro susceptibility of bacterial pathogens isolated from clinical specimens. Test results obtained from short-term (less than 16 hours) incubation are used to determine the antimicrobial agent of choice to treat bacterial diseases.
Special Controls
*Classification.* Class II (special controls). The special control for this device is FDA's guidance document entitled “Class II Special Controls Guidance Document: Antimicrobial Susceptibility Test (AST) Systems; Guidance for Industry and FDA.”
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FDA
U.S. FOOD & DRUG
ADMINISTRATION
# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY
ASSAY ONLY
## I Background Information:
A 510(k) Number
K201675
B Applicant
bioMérieux, Inc.
C Proprietary and Established Names
VITEK 2 AST-Gram Negative Meropenem (≤ 0.25 - ≥ 16 μg/mL)
D Regulatory Information
| Product Code(s) | Classification | Regulation Section | Panel |
| --- | --- | --- | --- |
| LON | Class II | 21 CFR 866.1645 - Fully Automated Short-Term Incubation Cycle Antimicrobial Susceptibility System | MI - Microbiology |
| LTW | Class II | 21 CFR 866.1640 - Antimicrobial susceptibility test powder | MI - Microbiology |
| LTT | Class II | 21 CFR 866.1640 - Antimicrobial susceptibility test powder | MI - Microbiology |
## II Submission/Device Overview:
A Purpose for Submission:
To obtain a substantial equivalence determination for meropenem for testing of Gram-negative bacilli on the VITEK 2 and VITEK 2 Compact Antimicrobial Susceptibility Test Systems
B Measurand:
Meropenem ≤ 0.25 - ≥ 16 μg/mL
Food and Drug Administration
10903 New Hampshire Avenue
Silver Spring, MD 20993-0002
www.fda.gov
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C Type of Test:
Automated quantitative or qualitative antimicrobial susceptibility test
III Intended Use/Indications for Use:
A Intended Use(s):
The VITEK 2 Gram-negative Susceptibility Card is intended for use with the VITEK 2 Systems in clinical laboratories as an in vitro test to determine the susceptibility of clinically significant aerobic Gram-negative bacilli to antimicrobial agents when used as instructed.
B Indication(s) for Use:
VITEK 2 AST-Gram Negative Meropenem is designed for antimicrobial susceptibility testing of Gram negative bacilli and is intended for use with the VITEK 2 and VITEK 2 Compact Systems as a laboratory aid in the determination of in vitro susceptibility to antimicrobial agents. VITEK 2 AST-Gram Negative Meropenem is a quantitative test. Meropenem has been shown to be active against most strains of the microorganisms listed below, according to the FDA label for this antimicrobial
Active in vitro an in clinical infections:
- Escherichia coli
- Klebsiella pneumoniae
- Proteus mirabilis
- Pseudomonas aeruginosa
In vitro data are available, but clinical significance is unknown:
- Citrobacter freundii
- Citrobacter koseri
- Enterobacter cloacae
- Hafnia alvei
- Klebsiella oxytoca
- Morganella morganii
- Serratia marcescens
The VITEK 2 Gram Negative Susceptibility Card Meropenem also reports susceptibility for the following additional organisms as listed on the FDA Susceptibility Test Interpretive Criteria Website:
- Acinetobacter spp.
The VITEK 2 Gram-Negative Susceptibility Card is intended for use with the VITEK 2 Systems in clinical laboratories as an in vitro test to determine the susceptibility of clinically significant aerobic Gram-negative bacilli to antimicrobial agents when used as instructed.
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C Special Conditions for Use Statement(s):
Rx - For Prescription Use Only
Limitations:
Perform an alternative method of testing prior to reporting for the following meropenem/organism combinations:
- Proteus vulgaris
- When the VITEK 2 MIC is greater than or equal to 16 µg/mL for Enterobacter cloacae
- Morganella morganii (when tested with VITEK 2 COMPACT if critical to patient care)
Perform an alternate method of testing prior to reporting results when a resistant result is obtained:
- Klebsiella oxytoca, Proteus mirabilis
The ability of the VITE 2 AST-Gram Negative Meropenem to detect resistance to meropenem is unknown for the following species because an insufficient number of resistant strains were available at the time of comparative testing:
- Citrobacter koseri and Hafnia alvei
D Special Instrument Requirements:
VITEK 2 and VITEK 2 Compact Systems using VITEK 2 Systems 9.02 software
IV Device/System Characteristics:
A Device Description:
The VITEK 2 AST card is a miniaturized, abbreviated and automated version of the doubling dilution technique for determining the minimum inhibitory concentration (MIC). Each VITEK 2 AST card contains 64 wells. A control well(s) which contain only nutrient medium is resident on all cards. The remaining wells contain premeasured portions of antimicrobials combined with the nutrient media. The isolate to be tested is diluted to a standardized concentration with 0.45% to 0.50% saline before being used to rehydrate the antimicrobial medium within the card. The VITEK 2 System will automatically (or allow operator to manually) dilute the bacterial suspension to prepare an inoculum for susceptibility cards. Then, the VITEK 2 will fill, seal and place the card into the incubator/reader. The VITEK 2 Compact has a manual filling, sealing, and loading operation. The VITEK 2 Systems monitor the growth of each well in the card over a defined period of time. The analysis program determines when a well demonstrates growth based on attenuation of light measured by an optical scanner. This data is used to determine the minimum inhibitory concentration or "MIC" values for the antimicrobial agent. At the completion of the incubation cycle, a report is generated that contains the MIC value along with the interpretive category result for each antimicrobial contained on the card.
VITEK 2 AST-Gram Negative Meropenem has the following concentrations in the card: 0.5, 2, 6 and 12 µg/mL (equivalent standard method concentration by efficacy in µg/mL. The MIC result range for the VITEK 2 AST-GN Meropenem test is ≤0.25 to ≥16 µg/mL. For all species, the
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MIC result range indicates that the VITEK 2 system is capable of producing the following MIC results: ≤0.25, 0.5, 1, 2, 4, 8 and ≥16 μg/mL for the AST-GN Meropenem test.
## B Principle of Operation:
The VITEK 2 and VITEK 2 Compact Systems utilize automated growth-based detection using attenuation of light measured by an optical scanner. The optics in the systems use visible light to directly measure organism growth within each of the 64 micro-wells. Transmittance optics is based on an initial light reading of a well before significant growth has begun. Every 15 minutes throughout the incubation cycle (defined period of time based on the VITEK 2 card), light transmittance readings of each well determine organism growth by the amount of light that is prevented from passing through the well. At the completion of the incubation period, the MIC values and their associated interpretive category results for each antimicrobial on the test card are displayed in an automatically generated report.
## V Substantial Equivalence Information:
### A Predicate Device Name(s):
VITEK 2 AST-Gram Negative Eravacycline (≤ 0.12 - ≥ 4 μg/mL)
### B Predicate 510(k) Number(s):
K191766
### C Comparison with Predicate(s):
| Device & Predicate Device(s): | Device K201675 | Predicate K191766 |
| --- | --- | --- |
| Device Trade Name | VITEK 2 AST-Gram Negative Meropenem (≤0.26 - ≥16 μg/mL | VITEK 2 AST-Gram Negative Eravacycline (≤0.12 - ≥4 μg/mL) |
| General Device Characteristic Similarities | | |
| Intended Use/Indications For Use | The VITEK 2 Gram-Negative Susceptibility Card is intended for use with the VITEK 2 Systems in clinical laboratories as an in vitro test to determine the susceptibility of clinically significant aerobic Gram-negative bacilli to antimicrobial agents when used as instructed. | Same |
| Test Method | Automated quantitative antimicrobial susceptibility test for use with the VITEK 2 and | Same |
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| Device & Predicate Device(s): | Device K201675 | Predicate K191766 |
| --- | --- | --- |
| | VITEK 2 Compact Systems to determine the in vitro susceptibility of Gram-negative bacilli | |
| Inoculum | Standardized saline suspension of test organism | Same |
| Test Card | VITEK 2 Gram Negative Susceptibility Test Card | Same |
| Instrument | the VITEK 2 and VITEK 2 Compact Systems | Same |
| Analysis Algorithm | Growth pattern analysis | Same |
| General Device Characteristic Differences | | |
| Antimicrobial Agent | Meropenem | Eravacycline |
| Antimicrobial Concentration | ≤0.25 - ≥16 μg/mL | 0.25, 1, 2 and 4 μg/mL |
| Reporting Range | ≤0.25, 0.5, 1, 2, 4, 8 and ≥16 μg/mL | ≤0.12 – ≥4 μg/mL |
| Indicated Organisms | Escherichia coli, Klebsiella pneumoniae, Proteus mirabilis, Pseudomonas aeruginosa, Citrobacter freundii, Citrobacter koseri, Enterobacter cloacae, Hafnia alvei, Klebsiella oxytoca, Morganella morganii, Serratia marcescens Acinetobacter spp. | Citrobacter freundii, Enterobacter cloacae, Escherichia coli, Klebsiella oxytoca, Klebsiella pneumoniae, Citrobacter koseri, Klebsiella (Enterobacter) aerogenes |
VI Standards/Guidance Documents Referenced:
- FDA Class II Special Controls Guidance Document: Antimicrobial Susceptibility Test (AST) Systems; Guidance for Industry and FDA (Issued August 28, 2009)
- CLSI M07-A09, "Methods for Dilution Antimicrobial Susceptibility Tests for Bacteria that Grow Aerobically; Approved Standard-Ninth Edition" Vol. 32 No. 2 (January 2009)
- CLSI M100, "Performance Standards for Antimicrobial Susceptibility Testing"; Twenty-fourth Edition (January 2014)
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VII Performance Characteristics (if/when applicable):
A Analytical Performance:
1. Precision/Reproducibility:
Reproducibility testing for the VITEK 2 AST-Gram Negative Meropenem was conducted at three external clinical sites using a panel of ten gram-negative bacilli consistent with the indications for use (i.e., one *Enterobacter cloacae*, and nine *Pseudomonas aeruginosa* isolates). The majority of isolates evaluated in the reproducibility study were *P. aeruginosa* as members of this species were more likely to provide on-scale MICs than isolates belonging to the *Enterobacterales*. Each isolate was tested in triplicate over three days for a total of 270 data points. Inocula were prepared using both the auto-dilution and manual dilution methods for testing in the VITEK 2 System. In addition, inocula were prepared by the manual dilution method for use with the VITEK 2 Compact. The mode of MIC values was determined for each isolate and the reproducibility was calculated based on the number of MIC values that fell within ±1 doubling dilution of the mode.
All MIC values were on-scale and within one doubling dilution of the mode MIC and therefore only best case results are reported. The testing resulted in overall reproducibility of 100% (270/270) for the auto dilution and manual dilution methods for testing in the VITEK 2 System (auto-dilution and manual dilution) and 98.9% (267/270) for the VITEK 2 Compact System (manual dilution only).
The results are acceptable.
2. Linearity:
Not applicable
3. Analytical Specificity/Interference:
Not applicable
4. Assay Reportable Range:
Not applicable
5. Traceability, Stability, Expected Values (Controls, Calibrators, or Methods):
Quality Control (QC) Testing
The CLSI recommended QC strains for meropenem, *E. coli* ATCC 25922 and *P. aeruginosa* ATCC 27853, were tested a sufficient number of times (i.e., at least 20/site) at each testing site using both the VITEK 2 card and broth microdilution (BMD) reference methods. Both the automatic dilution and manual dilution methods were used for the VITEK 2 and the manual dilution method was used for the VITEK 2 Compact.
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Testing with E. coli ATCC 25922 provided off-scale results with the VITEK 2 card and the BMD reference. The acceptable range for this strain is lower than the lowest dilution on the BMD panel as well as the reported values for meropenem. In the device labeling the sponsor indicated the expected QC range (0.008 - 0.06 μg/mL) and included the following footnote to the device labeling QC table:
Does not include the full CLSI/FDA-recommended dilution range for QC testing with this organism.
Results obtained using the auto-dilution and the manual dilution methods for VITEK 2 and the manual dilution for VITEK 2 Compact QC results are summarized in Table 1 below. Since The expected range for P. aeruginosa ATCC27853 is contained within the meropenem concentration range included on the VITEK card, the quality control results were determined to be acceptable.
Table 1: Quality Control Results for VITEK 2 (Auto-Dilution and Method Dilution Methods) and VITEK 2 Compact (Manual Dilution Method)
| Organism | VITEK 2 Result Range^{1} | BMD Result Range (μg/mL) | VITEK 2 Auto-Dilution | BMD | VITEK 2 Manual Dilution | BMD | VITEK 2 Compact Manual Dilution | BMD |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| E. coli ATCC 25922 | | ≤0.03 | | 175 | | 110 | | 39 |
| | | 0.06 | | 1 | | 1 | | |
| | | 0.125 | | | | | | |
| | ≤0.25 | 0.25 | 176^{1} | | 110^{1} | | 39^{1} | |
| | 0.5 | 0.5 | | | | | | |
| | 1 | 1 | | | | | | |
| | 2 | 2 | | | | | | |
| | 4 | 4 | | | 1 | | | |
| | 8 | 8 | | | | | | |
| | ≥16 | 16 | | | | | | |
| | | ≥32 | | | | | | |
| P. aeruginosa ATCC 27853 Expected Result: 0.12 - 1 μg/mL | | ≤0.03 | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | 0.06 | | | | | | |
| | ≤0.125 | 0.125 | | 4 | | 3 | | 1 |
| | 0.25 | 0.25 | 143 | 120 | 100 | 76 | 13 | 31 |
| | 0.5 | 0.5 | 28 | 41 | 8 | 26 | 24 | 4 |
| | 1 | 1 | | 7 | | 3 | | 1 |
| | 2 | 2 | | | | | | |
| | ≥4 | 4 | | | | | | |
| | | 8 | | | | | | |
| | | ≥16 | | | | | | |
1Does not include the full CLSI/FDA-recommended dilution range for QC testing E. coli. For E. coli, an in-range VITEK result will be ≤ the lowest dilution on the card (i.e., ≤ 0.25 μg/mL)
Two gram positive quality control organisms were tested throughout comparative testing by reference method only. This was done to perform further quality control of the broth microdilution panels. The organisms tested were Enterococcus faecalis ATCC 29212 and
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Staphylococcus aureus ATCC 29213. QC results for the broth dilution method were within the expected result range >95% of the time (100% within the expected range).
## Inoculum Density Check
The DensiCHEK Plus was used to standardize the inoculum to a 0.5 McFarland standard. The instrument was standardized daily with all results recorded at each site. Calibration values were within the expected range.
## Purity Check
A purity check of all organisms was performed on the dilution tube used to prepare the VITEK 2 card inoculum. Only those cultures that were pure were evaluated in the study.
## Growth Failure Rate
The growth failure rate was acceptable.
6. Detection Limit:
Not applicable
7. Assay Cut-Off:
Not applicable
## B Comparison Studies:
1. Method Comparison with Predicate Device:
Testing of meropenem on the VITEK 2 AST-Gram Negative card was performed at three external sites and one internal site. Results obtained with the VITEK 2 AST-Gram Negative card with meropenem were compared to results obtained with the CLSI broth microdilution reference panel. The meropenem concentration range for the VITEK 2 AST-Gram Negative meropenem is ≤0.25 to ≥16 μg/mL for all species. The reference panel contained two-fold serial dilutions with a concentration range of ≤0.03 to ≥64 μg/mL. The testing conditions for the reference method consisted of the following:
Medium – Cation adjusted Mueller Hinton broth
Inoculation – Direct colony suspension
Incubation – 35°C in ambient air for 16-20 hours
The VITEK 2 cards were inoculated with test organisms using the auto-dilution method (VITEK 2) and using the manual dilution method (VITEK 2 and VITEK 2 Compact). All test inocula used for the VITEK 2 AST cards and the reference method were standardized using the DensiCHEK Plus Instrument.
A total of 747 clinical isolates belonging to all genera were evaluated. of these 69.7% of isolates were contemporary (tested within six months of isolation) and 30.3% of isolates were stock isolates.
A total of 335 Enterobacterales clinical isolates were tested from indicated species (16 C. freundii, 8 C. koseri, 53 E. cloacae, 109 E. coli, 2 H. alvei, 45 K. oxytoca, 53 K. pneumoniae
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(including both K. pneumoniae and K. pneumoniae pneumoniae), 7 M. morganii, 26 P. mirabilis, 16 S. marcescens. A total of 179 P. aeruginosa and 176 isolates of Acinetobacter spp. were also evaluated. The Acinetobacter spp. tested included the following species: 163 A. baumannii, 2 A. haemolyticus, 1 A. junii, 6 A. lwoffii, 4 Acinetobacter spp.
In addition to the testing performed using indicated species, isolates from the following non-indicated species were also evaluated as clinical isolates: C. amalonaticus, C. braakii, C. farmeri, E. tarda, K. aerogenes, E. asburiae, E. hermannii, K. pneumoniae ozaenae, M. morganii, Pantoea agglomerans, P. rettgeri, P. stuartii, Raoutella planticola, S. enteritidis, S. enteritidis enterica, Salmonella spp., S. rubideae, S. boydii, S. dysenteriae, S. flexneri, and S. sonnei. As isolates belonging to non-indicated species numbered approximately 10 percent of the total number of Enterobacterales species, the performance with non-indicated species was included in the overall performance calculations for Enterobacterales.
A total of 177 challenge isolates of Enterobacterales were evaluated using autodilution and VITEK 2 including: 1 C. freundii, 18 E. cloacae, 26 E. coli, 1 H. alvei, 17 K. oxytoca, 81 K. pneumoniae (including K. pneumoniae and K. pneumoniae pneumoniae), 7 M. morganii (including 1 M. morganii sibonii and 6 M. morganii), 7 P. mirabilis, and 19 S. marcescens. In addition, 103 challenge isolates of P. aeruginosa and 43 challenge isolates of Acinetobacter spp. were tested.
For Enterobacterales evaluated using VITEK 2 and auto-dilution, the overall EA and CA were acceptable at 94.4% and 97.0%, respectively (Table 2). The overall major error rate was acceptable, however an increased major error rate was observed with K. oxytoca (4.1%). In addition, the EA for E. cloacae was reduced at 82.0%. Performance with P. vulgaris was not acceptable and is not included in the intended use for meropenem. Performance issues with E. cloacae, K. oxytoca and P. vulgaris are addressed in limitations (see below).
Review of the reference method and VITEK 2 MIC values for meropenem showed that the majority of clinical isolates of Enterobacterales provided MICs less than or equal to the lowest dilution on both the reference panel and VITEK 2 panel, resulting in unevaluable MICs for the vast majority to tested isolates. The low overall value for EA of evaluable results was most likely influenced by the low number of isolates with evaluable results (2.5% of the overall number tested). This also affected the number of results available to assess trending (see Trending and Table 4 below).
For P. aeruginosa evaluated using VITEK 2 and auto-dilution, EA was acceptable at 94.7% (Table 2). The CA was 89.7% caused by 29 (10.3%) minor errors. Because the EA of evaluable results was acceptable at 88.6%, and all errors observed were minor errors (no major or very major errors), the CA of 89.7% was considered acceptable.
For Acinetobacter spp. evaluated using VITEK 2 and auto-dilution, EA and CA were acceptable at 98.3% and 97.2%, respectively (Table 2). There were no major or very major errors.
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Table 2. Performance of VITEK 2 AST-Gram Negative Meropenem with VITEK 2 and Auto-Dilution
| | Tot | EA N | EA % | Eval Tot | Eval EA N | Eval EA % | CA Tot | CA % | No. R | No. S | min | maj | vmj |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Enterobacterales (Breakpoints ≤1, 2, ≥4) | | | | | | | | | | | | | |
| Clinical | 392 | 376 | 95.9 | 18 | 7 | 38.9 | 377 | 96.2 | 11 | 366 | 4 | 2 | 0 |
| Challenge | 177 | 161 | 91.0 | 24 | 8 | 33.3 | 166 | 93.8 | 54 | 115 | 9 | 2 | 0 |
| Total | 569 | 537 | 94.4 | 42 | 15 | 35.7 | 552 | 97.0 | 65 | 490 | 13 | 4 | 0 |
| P. aeruginosa (Breakpoints ≤2, 4, ≥8) | | | | | | | | | | | | | |
| Clinical | 179 | 170 | 95.0 | 108 | 99 | 91.7 | 155 | 86.6 | 45 | 112 | 24 | 0 | 0 |
| Challenge | 103 | 97 | 94.2 | 24 | 18 | 75.0 | 98 | 95.1 | 76 | 25 | 5 | 0 | 0 |
| Total | 282 | 267 | 94.7 | 132 | 117 | 88.6 | 253 | 89.7 | 121 | 137 | 29 | 0 | 0 |
| Acinetobacter spp.* (Breakpoints ≤2, 4, ≥8) | | | | | | | | | | | | | |
| Clinical | 176 | 173 | 98.3 | 30 | 28 | 93.3 | 171 | 97.2 | 134 | 38 | 5 | 0 | 0 |
| Challenge | 43 | 39 | 90.7 | 18 | 14 | 77.8 | 40 | 93.0 | 26 | 14 | 3 | 0 | 0 |
| Total | 219 | 212 | 96.8 | 48 | 42 | 87.5 | 211 | 96.3 | 160 | 52 | 8 | 0 | 0 |
* Includes A. baumannii, A. haemolyticus, A. junii, A. lwoffii, Acinetobacter spp.
EA - essential agreement
S - susceptible
EVAL - evaluable isolates
min - minor discrepancies
CA - categorical agreement
maj - major discrepancies
R - resistant
vmj - very major discrepancies
Essential agreement (EA) occurs when the result of the reference method and that of the VITEK 2 AST-Gram Negative Meropenem are within plus or minus one serial two-fold dilution of the antibiotic. Evaluable results are those that are on-scale for both the reference method and the VITEK 2 AST-Gram Negative Meropenem. Category agreement (CA) occurs when the interpretation of the result of the reference method agrees exactly with the interpretation provided by VITEK 2 AST-Gram Negative Meropenem.
To assess the performance of manual dilution with the VITEK 2 and the VITEK 2 Compact, a total of 233 challenge isolates of Enterobacterales were evaluated including the following species: 1 C. freundii, 18 E. cloacae, 26 E. coli, 1 H. alvei, 17 K. oxytoca, 115 K. pneumoniae (including K. pneumoniae and K. pneumoniae pneumoniae, 14 M. morganii (including 12 M. morganii and 2 M. morganii sibonii, 7 P. mirabilis and 34 S. marcescens.
For manual dilution, E. cloacae and P. mirabilis showed decreased EA and CA when read using both VITEK 2 and VITEK 2 Compact at higher MICs. In addition, M. morganii showed decreased EA when read using VITEK Compact at higher MICs. Performance issues with E. cloacae, P. mirabilis and M. morganii are addressed in limitations (see below). Also, as noted above the majority of clinical isolates of Enterobacterales showed MICs less than or equal to the lowest dilution on both the reference panel and VITEK 2 panel, resulting in unevaluable MICs for the vast majority to tested isolates. Consequently, a low overall value for EA of evaluable results was most likely influenced by the low number of isolates with evaluable results (3% of the overall number tested).
A total of 103 isolates of $P$ aeruginosa and 43 isolates of Acinetobacter spp. were evaluated using manual dilution; results showed acceptable performance for both genera for manual dilution with both VITEK 2 systems (Table 3).
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Table 3. Performance for Manual Dilution with VITEK 2 and VITEK 2 Compact
| | Tot | EA N | EA % | Eval Tot | Eval EA N | Eval EA % | CA Tot | CA % | No. R | No. S | min | maj | vmj |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Enterobacterales (Breakpoints ≤1, 2, ≥4) | | | | | | | | | | | | | |
| VITEK 2 Manual | 233 | 217 | 93.1 | 23 | 7 | 30.4 | 220 | 94.4 | 54 | 171 | 9 | 4 | 0 |
| VITEK 2 Compact | 233 | 212 | 91.0 | 26 | 7 | 26.9 | 219 | 94.0 | 54 | 171 | 9 | 5 | 0 |
| P. aeruginosa (Breakpoints ≤2, 4, ≥8) | | | | | | | | | | | | | |
| VITEK 2 Manual | 103 | 99 | 96.1 | 25 | 21 | 84.0 | 99 | 96.1 | 76 | 25 | 4 | 0 | 0 |
| VITEK 2 Compact | 103 | 97 | 94.2 | 26 | 20 | 76.9 | 97 | 94.2 | 76 | 25 | 6 | 0 | 0 |
| Acinetobacter spp. (Breakpoints ≤2, 4, ≥8) | | | | | | | | | | | | | |
| VITEK 2 Manual | 43 | 40 | 93.0 | 18 | 15 | 83.3 | 40 | 93.0 | 26 | 14 | 3 | 0 | 0 |
| VITEK 2 Compact | 43 | 40 | 93.0 | 18 | 15 | 83.3 | 40 | 93.0 | 26 | 14 | 3 | 0 | 0 |
To address the performance issues noted above for both autodilution and manual dilution, the sponsor included the following limitations in the device labeling:
Perform an alternative method of testing prior to reporting for the following meropenem/organism combinations:
- Proteus vulgaris
- When the VITEK 2 MIC is greater than or equal to $16\ \mu\mathrm{g}/\mathrm{mL}$ for Enterobacter cloacae
- Morganella morganii (when tested with VITEK 2 COMPACT if critical to patient care)
Perform an alternate method of testing prior to reporting results when a resistant result is obtained:
- Klebsiella oxytoca, Proteus mirabilis
## Resistant Strains
An insufficient number of resistant strains of $C. koseri$ and $H. alvei$ were evaluated. The sponsor included the following limitation in the device labeling:
The ability of the VITEK 2 AST-Gram Negative Meropenem to detect resistance to meropenem is unknown for the following species because an insufficient number of resistant strains were available at the time of comparative testing:
- Citrobacter koseri and Hafnia alvei
## Resistance Mechanism Characterization
Isolates with the following resistance mechanisms were evaluated: KPC, KPC-2, KPC-3, NDM, NDM-1, NDM-5, NDM-6, SME, VIM, OXA-48, OXA-181, OXA-232, CTX-M-1, and ACT/MIR.
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# MIC Trending
A trending analysis was conducted using the combined data (clinical and challenge) obtained from the VITEK 2 auto-dilution method for each organism group. This trending calculation takes into account MIC values that are determined to be one or more doubling dilutions lower or higher than the reference method irrespective of whether the device MIC values are on-scale or not. Results that are not clearly at least one dilution lower, at least one dilution higher or in exact agreement with the CLSI reference method are not considered in the trending analysis.
Organism groups for which the difference between the percentage of isolates with higher vs. lower readings was > 30% and for which the confidence interval was determined to be statistically significant were considered to show evidence of trending. Trending that showed higher or lower MIC values compared to the reference is addressed in the labeling.
Evaluation of results for the Enterobacterales showed that a majority of isolates provided MICs that were not evaluable for trending. Trending, therefore, was calculated using results for all Enterobacterales combined (Table 4). Results for Enterobacterales and P. aeruginosa showed higher trending for all inoculation and read methods, while results for Acinetobacter spp. showed lower trending for all inoculation and read methods. For the Enterobacterales, only 6.5% of trending-evaluable isolates evaluated with autodilution, and no isolates evaluated by manual dilution (VITEK 2 or Compact), gave the exact MIC as that obtained by the reference method (which affected wording of the trending footnote).
Table 4. Trending Observed for Enterobacterales, P. aeruginosa and Acinetobacter spp. with all Dilution and Read Methods
| | Organism | Total Evaluable for Trending | ≥1 Dilution lower No. (%) | Exact No. (%) | ≥1 Dilution Higher No. (%) | Percent Difference (CI) | Trending Noted |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Enterobacterales | Autodilution | 46 | 12 (26.1) | 3 (6.5) | 31 (67.4) | 41.3 (21.1 to 57.1) | Yes high |
| | VITEK 2 Manual Dilution | 28 | 7 (25.0) | 0 | 21 (75.0) | 50.0 (24.0 to 67.4) | Yes high |
| | Compact Manual Dilution | 30 | 8 (26.7) | 0 | 22(73.3) | 46.7 (21.5 to 64.3) | Yes high |
| P. aeruginosa | Autodilution | 172 | 32 (18.6) | 48 (27.9) | 92 (53.5) | 34.9 (25.0 to 43.8) | Yes high |
| | VITEK 2 Manual Dilution | 45 | 3 (6.7) | 6 (13.3) | 36 (80.0) | 73.3 (55.6 to 83.4) | Yes high |
| | Compact Manual Dilution | 46 | 2 (4.4) | 3 (6.5) | 41 (89.1) | 84.8 (68.1 to 91.7) | Yes high |
| Acinetobacter spp. | Autodilution | 26 | 15 (57.7) | 8 (30.8) | 3 (11.5) | -46.2 (-64.5 to -20.6) | Yes low |
| | VITEK 2 Manual Dilution | 18 | 14 (77.8) | 4 (22.2) | 0 | -77.8 (-91.0 to -48.8) | Yes low |
| | Compact Manual Dilution | 18 | 13 (72.2) | 5 (27.8) | 0 | -72.2 (-87.5 to -43.2) | Yes low |
K201675 - Page 12 of 14
{12}
The following footnote to the performance table was added to the device labeling to address the observed trending:
Meropenem MIC values for Enterobacterales and P. aeruginosa tended to be at least one doubling dilution higher than the reference method and may contribute to the occurrence of major errors for Enterobacterales. Meropenem MIC values for Acinetobacter spp. tended to be at least one doubling dilution lower than the reference method.
2. Matrix Comparison:
Not applicable.
C Clinical Studies:
1. Clinical Sensitivity:
Not applicable
2. Clinical Specificity:
Not applicable
3. Other Clinical Supportive Data (When 1. and 2. Are Not Applicable):
Not applicable
D Clinical Cut-Off:
Not applicable
E Expected Values/Reference Range:
Table 5: FDA-Recognized Interpretive Criteria for Meropenem
| Organisms | Interpretive Criteria (μg/mL)a | | |
| --- | --- | --- | --- |
| | S | I | R |
| Enterobacteriaceae | ≤1 | 2 | ≥4 |
| P. aeruginosa | ≤2 | 4 | ≥8 |
| Acinetobacter spp. | ≤2 | 4 | ≥8 |
aAs noted on the FDA STIC Website.
K201675 - Page 13 of 14
{13}
K201675 - Page 14 of 14
## VIII Proposed Labeling:
The labeling supports the finding of substantial equivalence for this device.
## IX Conclusion:
The submitted information in this premarket notification is complete and supports a substantial equivalence decision.
To support the implementation of changes to FDA-recognized susceptibility test interpretive criteria (i.e., breakpoints), this submission included a breakpoint change protocol that was reviewed and accepted by FDA. This protocol addresses future revisions to device labeling in response to breakpoint changes that are recognized on the FDA STIC webpage (https://www.fda.gov/Drugs/DevelopmentApprovalProcess/DevelopmentResources/ucm410971.htm). The protocol outlined the specific procedures and acceptance criteria that bioMérieux intends to use to evaluate the VITEK 2 AST-GN Meropenem when revised breakpoints for meropenem are published on the FDA STIC webpage. The breakpoint change protocol included with the submission indicated that if specific criteria are met, bioMérieux will update the meropenem device label to include (1) the new breakpoints, (2) an updated performance section after re-evaluation of data in this premarket notification with the new breakpoints, and (3) any new limitations as determined by their evaluation.
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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.