VITEK® 2 AST-Gram Negative Minocycline 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. 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-GN Minocycline is an automated, miniaturized, quantitative antimicrobial susceptibility test (AST) for Gram-negative bacilli. It uses a 64-well test card containing premeasured minocycline concentrations (1, 4, 8, 16 µg/mL) and nutrient media. The system processes a standardized saline suspension of the patient isolate (auto-diluted by VITEK 2 or manually for VITEK 2 Compact). The device fills, seals, and incubates the card, monitoring bacterial growth via optical scanner (light attenuation) every 15 minutes for up to 24 hours. The system's software calculates the Minimum Inhibitory Concentration (MIC) and assigns interpretive categories (S, I, R). Used in clinical laboratories by technicians/microbiologists, the output provides clinicians with susceptibility data to guide antibiotic therapy for infections caused by indicated organisms.
Clinical Evidence
Bench testing only. Performance evaluated using 367 clinical and 106 challenge isolates (473 total). Compared to CLSI broth microdilution reference method. Overall performance: 97.0% Essential Agreement (EA) and 93.7% Category Agreement (CA). Major error rate 0.3% (1/361), very major error rate 0.9% (1/112). Reproducibility was 100% for VITEK 2 (auto-dilution) and 99.63% (manual). Trending analysis identified specific MIC shifts for E. coli, S. marcescens, K. oxytoca, and C. freundii, which are addressed in device labeling.
Technological Characteristics
Miniaturized broth microdilution card; automated incubation and optical growth monitoring. Dimensions/form factor: VITEK 2 AST card. Connectivity: Integrated with VITEK 2 and VITEK 2 Compact systems. Software-based automated analysis of growth kinetics to determine MIC.
Indications for Use
Indicated for antimicrobial susceptibility testing of clinically significant aerobic Gram-negative bacilli, including Acinetobacter spp., Klebsiella (Enterobacter) aerogenes, Escherichia coli, and Klebsiella spp.
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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1
# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY ASSAY ONLY TEMPLATE
A. 510(k) Number:
K183551
B. Purpose for Submission:
To obtain a substantial equivalence determination for Minocycline for susceptibility testing of gram-negative bacilli on the VITEK 2 and VITEK 2 Compact Antimicrobial Susceptibility Test (AST) Systems
C. Measurand:
Minocycline 0.5 – 32 µg/mL.
D. Type of Test:
Automated quantitative antimicrobial susceptibility test for minocycline
E. Applicant:
bioMérieux, Inc.
F. Proprietary and Established Names:
VITEK 2 AST-Gram Negative Minocycline (≤0.5 - ≥32 µg/mL)
G. Regulatory Information:
1. Regulation section:
21 CFR 866.1645: Fully Automated Short-Term Incubation Cycle Antimicrobial Susceptibility System
2. Classification:
Class II
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3. Product code(s):
LON – Fully automated short-term incubation cycle antimicrobial susceptibility system
LTW – Susceptibility Test Cards, Antimicrobial
LTT – Panels, Test, Susceptibility, Antimicrobial
4. Panel:
83 - Microbiology
H. Intended Use:
1. 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.
2. Indication(s) for use:
VITEK 2 AST-Gram Negative Minocycline 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 Minocycline is a quantitative test. Minocycline 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 and in clinical infections:
Acinetobacter spp.
Klebsiella (Enterobacter) aerogenes
Escherichia coli
Klebsiella 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.
3. Special conditions for use statement(s):
For prescription use only
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Limitation:
Perform an alternative method of testing prior to reporting of results for the following antibiotic/organism combination(s):
Minocycline: Shigella species
4. Special instrument requirements:
VITEK 2 and VITEK 2 Compact Systems, VITEK 2 Systems (PC) version 9.02 or higher
I. Device Description:
The VITEK 2 AST card is a miniaturized, abbreviated, and automated version of the doubling dilution technique for determining the minimal 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 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 (up to 24 hours for Streptococcus species). 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 anti-microbial 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-GN Minocycline has the following concentrations in the card: 1, 4, 8, and 16 µg/mL (equivalent standard method concentration by efficacy in µg/mL). The MIC result range for VITEK 2 AST-GN Minocycline on the VITEK 2 card is ≤ 0.5 – ≥ 32 µg/mL.
J. Substantial Equivalence Information:
1. Predicate device name(s):
VITEK 2 AST-GN Amikacin
2. Predicate 510(k) number(s):
K172731
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3. Comparison with predicate:
| Similarities | | |
| --- | --- | --- |
| Item | Device: VITEK 2 AST-GN Minocycline (K183551) | Predicate: VITEK 2 AST-GN Amikacin (K172731) |
| Intended Use | VITEK 2 AST-Gram Negative Minocycline 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 Minocycline is a quantitative test. Minocycline 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 and in clinical infections:
Acinetobacter spp.
K. (Enterobacter) aerogenes
Escherichia coli
Klebsiella spp. | VITEK 2 AST Gram Negative Amikacin 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 Amikacin is a quantitative test. Amikacin 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 and in clinical infections:
Pseudomonas spp.
Escherichia coli
Proteus mirabilis
Klebsiella spp.
Enterobacter spp.
Serratia spp.
Acinetobacter species (excluding A. baumannii Complex)
In vitro data available but clinical significance is unknown:
Citrobacter freundii |
| Test Method | Automated quantitative antimicrobial susceptibility test for use with the VITEK 2 and VITEK 2 Compact Systems to determine the in vitro susceptibility of Gram negative bacilli | Same |
| Inoculum | Standardized saline suspension of test organism | Same |
| Test Card | VITEK 2 Gram Negative Susceptibility Test Card | Same |
| Instrument | VITEK 2 and VITEK 2 Compact Systems | Same |
| Analysis Algorithm | Growth pattern analysis | Same |
4
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| Similarities | | |
| --- | --- | --- |
| Item | Device: VITEK 2 AST-GN Minocycline (K183551) | Predicate: VITEK 2 AST-GN Amikacin (K172731) |
| Detection Method | Light optics using optical scanner | Same |
| Report | Automatically generated and contains the MIC value with an interpretive category (S, I, R) for each antimicrobial on the test card | Same |
| Differences | | |
| --- | --- | --- |
| Item | Device: VITEK 2 AST-GN Minocycline (K183551) | Predicate: VITEK 2 AST-GN Amikacin (K172731) |
| Antimicrobial Agent | Minocycline | Amikacin |
| Antimicrobial Concentrations | 1, 4, 8, and 16 μg/mL | 2, 4, 16, 48 μg/mL |
| Reporting Range | Enterobacteriaceae and Acinetobacter species ≤ 0.5 – ≥ 32 μg/mL | Enterobacteriaceae, Pseudomonas species ≤ 1 - ≥ 64 μg/mL Acinetobacter species ≤ 2 - ≥ 64 μg/mL |
| Analysis Algorithm | Unique to minocycline | Unique to amikacin |
# K. Standard/Guidance Document Referenced (if applicable):
FDA Class II Special Controls Guidance Document: Antimicrobial Susceptibility Test (AST) Systems; Guidance for Industry and FDA (Issued August 28, 2009)
- CLSI M07, "Methods for Dilution Antimicrobial Susceptibility Tests for Bacteria that Grow Aerobically; Approved Standard-Tenth Edition" Vol. 32 No. 2 (January 2015)
- CLSI M100, "Performance Standards for Antimicrobial Susceptibility Testing"; Twenty-Eighth Edition, Vol. 38 No. 3 (January 2018)
# L. Test Principle:
The VITEK 2 and VITEK 2 Compact Systems utilize automated growth-based detection using attenuation of light measured by an optical scanner. The optics within the systems use visible light to directly measure organism growth within each of the 64 microwells.
Transmittance optics are 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 measures 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.
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M. Performance Characteristics (if/when applicable):
1. Analytical performance:
a. Precision/Reproducibility:
A reproducibility study for the VITEK 2 AST-GN Minocycline was conducted at three clinical sites using ten isolates from indicated species. Testing was performed on three separate days and in triplicate for a total of 270 data points. The ten isolates included Klebsiella pneumoniae pneumoniae (five isolates), Klebsiella pneumoniae (one isolate), K. (Enterobacter) aerogenes (three isolates), and Escherichia coli (one isolate). Inocula were prepared using both the auto-dilution and manual dilution methods on the VITEK 2 System. Inocula were prepared using the manual dilution method on the VITEK 2 Compact System. Intra-site and inter-site reproducibility was calculated based on MIC values falling within +/- one doubling dilution from the mode MIC value. Most of data points were on-scale and within ± one doubling dilution agreement as compared to the mode MIC. For cases where off-scale values were obtained reproducibility was calculated as best case and worst case as described in the AST Special Controls Guidance Document.
The overall reproducibility of the VITEK 2 System was 100% (100% worst case) and 100% (99.63% worst case) using the auto-dilution and manual dilution inoculum methods, respectively. All MIC results with the VITEK 2 Compact System using the manual inoculation method were on-scale and the overall reproducibility was 100%. The combined reproducibility results for all three sites were acceptable.
b. Linearity/assay reportable range:
Not applicable
c. Traceability, Stability, Expected values (controls, calibrators, or methods):
Quality Control (QC) Testing
The FDA/CLSI recommended QC organism (E. coli ATCC 25922) was tested throughout the comparative testing at three study sites. This QC organism was tested a minimum of 20 times/site by both the VITEK 2 AST-GN Minocycline card and with the CLSI broth microdilution reference method.
Both the auto-dilution and the manual dilution methods for VITEK 2 and the manual dilution for VITEK 2 Compact gave the expected QC result >95% of the time. Overall, QC performance was acceptable. The QC results are summarized in Table 1.
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Table 1. Quality Control Results Summary for VITEK 2 (Auto-Dilution and Manual Dilution) and VITEK 2 Compact (Manual Dilution Method)
| | | VITEK 2 Auto-Dilution | | VITEK 2 Manual Dilution | | VITEK 2 Compact Manual Dilution | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Organism | Conc. (μg/mL) | Test | Reference | Test | Reference | Test | Reference |
| E. coli ATCC 25922 Expected Range 0.25 – 1 μg/mL | ≤0.03125 | | | | | | |
| | 0.0625 | | | | | | |
| | 0.125 | | | | | | |
| | 0.25 | | 77 | | 62 | | 62 |
| | ≤0.5* | 115 | 22 | 90 | 19 | 90 | 19 |
| | 1 | | 16 | | 9 | | 9 |
| | 2 | | | | | | |
| | 4 | | | | | | |
| | 8 | | | | | | |
| | 16 | | | | | | |
| | 32 | | | | | | |
| | ≥64 | | | | | | |
*The lowest dilution of the VITEK 2 AST-GN Minocycline MIC range is ≤0.5 μg/mL.
The expected range for *E. coli* ATCC 25922 with minocycline is 0.25 – 1 μg/mL; however, the reporting range of the VITEK 2 AST-GN Minocycline is ≤ 0.5 – ≥ 32 μg/mL (MIC results: ≤ 0.5, 1, 2, 4, 8, 16, and ≥ 32) and does not provide results lower than 0.5 μg/mL. All QC results for *E. coli* ATCC 25922 were off-scale for the VITEK 2 card at the ≤ 0.5 μg/mL dilution. The sponsor provided the following footnote to the *E. coli* ATCC 25922 expected range in the device labeling QC table:
The FDA/CLSI Broth Microdilution expected QC range = 0.25 – 1 μg/mL. Does not include the full recommended dilution range for QC testing.
As an additional check of the reference method, two gram positive organisms were tested throughout the study at each clinical site. Isolates tested were *E. faecalis* ATCC 29212 and *S. aureus* ATCC 29213. All results were within the expected range.
## Inoculum Density Control
The DensiCHEK Plus was used to standardize the inoculum to a 0.5 MacFarland 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
A total of 367 clinical isolates and 106 challenge isolates were evaluated. All isolates grew in the VITEK 2 AST card. Therefore, a total of 473 isolates had VITEK 2 AST results available.
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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:
Testing of minocycline on the VITEK 2 AST-Gram Negative card was performed at three external sites and one internal site using VITEK 2 Systems (PC) version 9.02. Results obtained with the VITEK 2 AST-Gram Negative card were compared to results obtained with the CLSI broth microdilution reference method using direct colony suspension inoculation. The reference panels were inoculated with test organisms and incubated as outlined in the CLSI document M07-A10 at 35 °C for 16 – 20 hours for all organisms other than Acinetobacter spp., or at 35 °C for 20 - 24 hours for all Acinetobacter spp. organisms.
The VITEK 2 AST cards were inoculated with test organisms using the auto-dilution method (VITEK 2 System) and using the manual dilution method (VITEK 2 System 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 367 clinical isolates were evaluated (331 Enterobacteriaceae and 36 Acinetobacter spp.). All 367 isolates grew, and complete results were available for all isolates. A total of 238 (64.9%) isolates were fresh or recent isolates (tested within one year of isolation from clinical specimens) and 129 (35.1%) were stock isolates. The clinical study included species within Enterobacteriaceae that were not indicated in the FDA drug label for minocycline.
A total of 106 challenge organisms (80 Enterobacteriaceae and 26 Acinetobacter spp.) were evaluated at one external site. All isolates grew. The challenge set was tested with both the auto-dilution and manual dilution options on the VITEK 2 System and with the manual dilution method on the VITEK 2 Compact System. Challenge isolates included Acinetobacter spp. (26 isolates), E. coli (12 isolates), K. (Enterobacter) aerogenes (9 isolates), and Klebsiella spp. (59 isolates).
The combined data set of clinical and challenge isolates included 473 AST results (411 Enterobacteriaceae and 62 Acinetobacter spp.). A total of 112 (23.7%) resistant
8
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isolates were tested among the clinical (n=56) and challenge (n=56) isolates.
The overall performance using the auto-dilution method of the VITEK 2 System demonstrated an EA of 97.0% and a CA of 93.7%. There was one major error (1/361 susceptible isolates, 0.3% error rate), one very major error (1/112 resistant isolates, 0.9% error rate), and 28 minor errors (28/473 total isolates, 5.9% error rate). The major error and very major error rates were acceptable. With Enterobacteriaceae isolates, performance was acceptable with an EA of 97.6% and a CA of 93.7%. With Acinetobacter spp. isolates, performance was acceptable with an EA of 93.5% and a CA of 93.5%. The performance based on combined clinical and challenge data was acceptable. The overall performance is shown in Table 2.
To address testing of non-indicated species the sponsor included the following statement in the Precautions section of the device labeling:
Per the FDA-Recognized Susceptibility Test Interpretive Criteria website, the safety and efficacy of antimicrobial drugs, for which antimicrobial susceptibility is tested by this AST device, may or may not have been established in adequate and well-controlled clinical trials for treating clinical infections due to microorganisms outside of those found in the indications and usage in the drug label. The clinical significance of susceptibility information in those instances is unknown. The approved labeling for specific antimicrobial drugs provides the uses for which the antimicrobial drug is approved.
Table 2. Performance of Clinical and Challenge Isolates, VITEK 2 Auto-Dilution Method
| Organism Type | EA Total | EA N | EA % | Eval EA Total | Eval EA N | Eval EA % | CA N | CA % | #R | Min | Maj | Vmj |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Enterobacteriaceae | | | | | | | | | | | | |
| Clinical | 331 | 324 | 97.9% | 245 | 238 | 97.1% | 308 | 93.1% | 52 | 21 | 1 | 1 |
| Challenge | 80 | 77 | 96.3% | 61 | 58 | 95.1% | 77 | 96.3% | 38 | 3 | 0 | 0 |
| Combined | 411 | 401 | 97.6% | 306 | 296 | 96.7% | 385 | 93.7% | 90 | 24 | 1 | 1 |
| Acinetobacter species | | | | | | | | | | | | |
| Clinical | 36 | 33 | 91.7% | 17 | 14 | 82.4% | 33 | 91.7% | 4 | 3 | 0 | 0 |
| Challenge | 26 | 25 | 96.2% | 25 | 24 | 96.0% | 25 | 96.2% | 18 | 1 | 0 | 0 |
| Combined | 62 | 58 | 93.5% | 42 | 38 | 90.5% | 58 | 93.5% | 22 | 4 | 0 | 0 |
| All species | | | | | | | | | | | | |
| Clinical | 367 | 357 | 97.3% | 262 | 252 | 96.2% | 341 | 92.9% | 56 | 24 | 1 | 1 |
| Challenge | 106 | 102 | 96.2% | 86 | 82 | 95.3% | 102 | 96.2% | 56 | 4 | 0 | 0 |
| Combined | 473 | 459 | 97.0% | 348 | 334 | 96.0% | 443 | 93.7% | 112 | 28 | 1 | 1 |
EA – Essential Agreement (± 1 dilution)
Min – minor discrepancies
CA – Category Agreement
Maj – major discrepancies
Eval – Evaluable isolates
Vmj – very major discrepancies
R – Resistant isolates
Essential agreement (EA) occurs when the result of the reference method and that of the VITEK card 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 card. Category agreement (CA) occurs when the interpretation of the result of the reference method agrees exactly with the interpretation provided by the VITEK card.
{9}
Challenge Data – Auto and Manual Dilution
The challenge data set was evaluated at one site with both the auto-dilution and manual dilution options of the VITEK 2 System and with the manual dilution method on the VITEK 2 Compact System. The performance was acceptable. Overall performance is shown in Table 3, and performances with Acinetobacter spp. and Enterobacteriaceae isolates are shown in Table 4 and Table 5, respectively.
Table 3. Performance of Challenge Isolates, VITEK 2 and VITEK 2 Compact – All Organisms
| Dilution | EA Total | EA N | EA % | Eval EA Total | Eval EA N | Eval EA % | CA N | CA % | #R | Min | Maj | Vmj |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| VITEK 2 System | | | | | | | | | | | | |
| Auto | 106 | 102 | 96.2 | 86 | 82 | 95.3 | 102 | 96.2 | 56 | 4 | 0 | 0 |
| Manual | 106 | 103 | 97.2 | 86 | 83 | 96.5 | 102 | 96.2 | 56 | 4 | 0 | 0 |
| VITEK 2 Compact | | | | | | | | | | | | |
| Manual | 106 | 102 | 96.2 | 85 | 81 | 95.3 | 100 | 94.3 | 56 | 6 | 0 | 0 |
Table 4. Performance of Challenge Isolates, VITEK 2 and VITEK 2 Compact - Acinetobacter spp.
| Dilution | EA Total | EA N | EA % | Eval EA Total | Eval EA N | Eval EA % | CA N | CA % | #R | Min | Maj | Vmj |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| VITEK 2 System | | | | | | | | | | | | |
| Auto | 26 | 25 | 96.2 | 25 | 24 | 96.0 | 25 | 96.2 | 18 | 1 | 0 | 0 |
| Manual | 26 | 26 | 100 | 25 | 25 | 100 | 25 | 96.2 | 18 | 1 | 0 | 0 |
| VITEK 2 Compact | | | | | | | | | | | | |
| Manual | 26 | 25 | 96.2 | 25 | 24 | 96.0 | 25 | 96.2 | 18 | 1 | 0 | 0 |
Table 5. Performance of Challenge Isolates, VITEK 2 and VITEK 2 Compact - Enterobacteriaceae
| Dilution | EA Total | EA N | EA % | Eval EA Total | Eval EA N | Eval EA % | CA N | CA % | #R | Min | Maj | Vmj |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| VITEK 2 System | | | | | | | | | | | | |
| Auto | 80 | 77 | 96.3 | 61 | 58 | 95.1 | 77 | 96.3 | 38 | 3 | 0 | 0 |
| Manual | 80 | 77 | 96.3 | 61 | 58 | 95.1 | 77 | 96.3 | 38 | 3 | 0 | 0 |
| VITEK 2 Compact | | | | | | | | | | | | |
| Manual | 80 | 77 | 96.3 | 60 | 57 | 95.0 | 75 | 93.8 | 38 | 5 | 0 | 0 |
MIC Trends
An analysis of trending was conducted using the combined clinical and challenge data for each organism group. This trending calculation considers MIC values that are determined to be one or more doubling dilutions lower or higher compared to the reference method regardless of whether the device MIC values are on-scale. 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.
Trending analysis results are shown in Table 6; results were stratified by species to assess species-related trends. Species for which the difference between the percentage of isolates with higher or lower readings was $\geq 30$ with a statistically significant confidence interval were considered to show evidence of trending. Trending that provides higher or lower MIC values compared to the reference method is addressed in labeling.
{10}
When all species combined were assessed, no trending was observed overall. When results were stratified by species, trends for lower MIC values compared to the reference method were observed for $E$ coli and $S$ marcescens, and trends for higher MIC values compared to the reference method were observed for $K$ oxytoca and $C$ freundii (Table 6). The following footnote was added to performance table in the package insert to address trending:
"VITEK 2 Minocycline MIC values tended to be in exact agreement or at least one doubling dilution lower when testing E. coli and S. marcescens compared to the reference broth micro-dilution. VITEK 2 Minocycline MIC values tended to be in exact agreement or at least one doubling dilution higher when testing K. oxytoca and C. freundii compared to the reference broth micro-dilution."
Table 6. MIC Trending Analysis of All Organisms (Clinical and Challenge)
| Organism | Total Evaluable For Trending | ≥1 Dilution Lower No. (%) | Exact No. (%) | ≥1 Dilution Higher No. (%) | Percent Difference* (95% CI) | Trending Noted |
| --- | --- | --- | --- | --- | --- | --- |
| E. coli | 64 | 26 (40.6) | 32 (50.0) | 6 (9.4) | -31.25 (-44.5 to -16.5) | Yes |
| S. marcescens | 19 | 7 (36.8) | 11 (57.9) | 1 (5.3) | -31.58 (-54.1 to -5.3) | Yes |
| C. freundii | 7 | 1 (14.3) | 1 (14.3) | 5 (71.4) | 57.14 (5.8 – 80.6) | Yes |
| K. oxytoca | 23 | 2 (8.7) | 11 (47.8) | 10 (43.5) | 34.78 (9.4 – 55.5) | Yes |
| All organisms assessed | 368 | 104 (28.3) | 186 (50.5) | 78 (21.2) | -7.07 (-13.2 to -0.8) | No |
* A positive percent difference indicates a higher MIC value compared to the reference method. A negative percent difference indicates a lower MIC value compared to the reference method.
b. Matrix comparison:
Not applicable
3. Clinical studies:
a. Clinical Sensitivity:
Not applicable
b. Clinical specificity:
Not applicable
c. Other clinical supportive data (when a. and b. are not applicable):
Not applicable
{11}
4. Clinical cut-off:
Not applicable
5. Expected values/Reference range:
Table 7. Interpretive Criteria for Minocycline (FDA STIC Webpage* and CLSI M100)
| Organism | FDA Interpretive Criteria for Minocycline MIC (μg/mL) | | |
| --- | --- | --- | --- |
| | S | I | R |
| Acinetobacter spp. | ≤4 | 8 | ≥16 |
| Enterobacteriaceae | ≤4 | 8 | ≥16 |
* FDA STIC Webpage
https://www.fda.gov/Drugs/DevelopmentApprovalProcess/DevelopmentResources/ucm410971.htm
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.
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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.