MicroScan Dried Gram-Negative MIC/Combo Panels with Levofloxacin (Lvx) (0.008-16ug/mL)
K193358 · Beckman Coulter, Inc. · LTT · Mar 3, 2020 · Microbiology
Device Facts
Record ID
K193358
Device Name
MicroScan Dried Gram-Negative MIC/Combo Panels with Levofloxacin (Lvx) (0.008-16ug/mL)
Applicant
Beckman Coulter, Inc.
Product Code
LTT · Microbiology
Decision Date
Mar 3, 2020
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 866.1640
Device Class
Class 2
Indications for Use
To determine antimicrobial agent susceptibility
Device Story
MicroScan Dried Gram-Negative MIC/Combo Panels are miniaturized broth dilution susceptibility tests. Panels contain dehydrated antimicrobial agents at concentrations bridging clinical interest. Clinical laboratory personnel inoculate panels with standardized organism suspensions and rehydrate with water. After 16-20 hours of incubation in a non-CO2 incubator, the system determines the minimum inhibitory concentration (MIC) by identifying the lowest concentration inhibiting growth. The device is used in clinical microbiology laboratories to guide antimicrobial therapy by providing susceptibility data for gram-negative bacilli, helping clinicians select effective antibiotic treatments.
Clinical Evidence
External evaluations compared the proposed panel to a CLSI frozen reference panel using fresh, recent, and stock isolates. Performance for levofloxacin: Enterobacteriaceae (excluding Salmonella spp.) showed 95.9% EA and 96.7% CA; Salmonella spp. showed 100.0% EA and 98.8% CA; Pseudomonas aeruginosa showed 93.6% EA and 91.4% CA. Reproducibility and precision testing confirmed acceptable performance across inoculum methods and instruments. Quality control testing yielded acceptable results.
Technological Characteristics
Miniaturized broth dilution susceptibility test; dehydrated antimicrobial agents in panels; rehydrated with water; non-CO2 incubation; compatible with autoSCAN-4 and WalkAway instrument systems; utilizes Prompt or Turbidity inoculum methods.
Indications for Use
Indicated for determining quantitative and/or qualitative antimicrobial agent susceptibility of colonies grown on solid media of rapidly growing aerobic and facultative anaerobic gram-negative bacilli.
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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FDA U.S. FOOD & DRUG ADMINISTRATION
# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY
ASSAY ONLY
## I Background Information:
A 510(k) Number
K193358
B Applicant
Beckman Coulter, Inc.
C Proprietary and Established Names
MicroScan Dried Gram-Negative MIC/Combo Panels with Levofloxacin (Lvx) (0.008 -16 $\mu$ g/mL)
D Regulatory Information
| Product Code(s) | Classification | Regulation Section | Panel |
| --- | --- | --- | --- |
| LTT | Class II | 21 CFR 866.1640 - Antimicrobial susceptibility test powder | MI - Microbiology |
| JWY | Class II | 21 CFR 866.1640 - Antimicrobial Susceptibility Test Powder | MI - Microbiology |
| LRG | Class II | 21 CFR 866.1640 - Antimicrobial susceptibility test powder | MI - Microbiology |
| LTW | 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 levofloxacin at concentrations of 0.008 – $16~\mu \mathrm{g / mL}$ with the MicroScan Dried Gram-Negative MIC/Combo Panels for susceptibility testing of non-fastidious Gram-negative organisms.
Food and Drug Administration
10903 New Hampshire Avenue
Silver Spring, MD 20993-0002
www.fda.gov
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B Measurand:
Levofloxacin in the dilution range of 0.008 – 16 µg/mL
C Type of Test:
Quantitative antimicrobial susceptibility test (AST)
III Intended Use/Indications for Use:
A Intended Use(s):
MicroScan Dried Gram-Negative MIC/Combo Panels are designed for use in determining quantitative and/or qualitative antimicrobial agent susceptibility of colonies grown on solid media of rapidly growing aerobic and facultative gram-negative bacilli.
B Indication(s) for Use:
The MicroScan Dried Gram-Negative MIC/Combo Panel is used to determine quantitative and/or qualitative antimicrobial agent susceptibility of colonies grown on solid media of rapidly growing aerobic and facultative anaerobic gram-negative bacilli. After inoculation, panels are incubated for 16 - 20 hours at 35°C +/- 1°C in a non-CO₂ incubator, and read either visually or with MicroScan instrumentation, according to the Package Insert.
This particular submission is for updated susceptibility test interpretative criteria for Enterobacteriaceae and Pseudomonas aeruginosa for the antimicrobial levofloxacin (Lvx) at concentrations of 0.008 to 16 µg/mL to the test panel.
Levofloxacin has been shown to be active in vitro against most strains of microorganisms listed below, as described in the
FDA-approved package insert for this antimicrobial agent.
Active In Vitro and in Clinical Infections Against:
- Enterobacter cloacae
- Escherichia coli
- Klebsiella pneumoniae
- Proteus mirabilis
- Pseudomonas aeruginosa
- Serratia marcescens
Active In Vitro but clinical significance is unknown:
- Citrobacter koseri
- Citrobacter freundii
- Enterobacter aerogenes
- Klebsiella oxytoca
- Morganella morganii
- Pantoea agglomerans
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Proteus vulgaris
Providencia rettgeri
Providencia stuartii
The MicroScan Dried Gram-Negative MIC/Combo Panel also reports the susceptibility for the following additional organisms as listed on the FDA Susceptibility Test Interpretative Criteria web site:
Salmonella spp.
## C Special Conditions for Use Statement(s):
Rx - For Prescription Use Only
The ability of the MicroScan Dried Gram-Negative Panels to detect resistance to levofloxacin is unknown for the following species because an insufficient number of resistant strains were available at the time of comparative testing: C. koseri, P. vulgaris, and P. agglomerans. Isolates yielding MIC results suggestive of a resistant interpretive category should be submitted to a reference laboratory.
Due to the occurrence of very major errors with levofloxacin and the autoSCAN-4 with both turbidity and Prompt inoculation methods, isolates of P. aeruginosa that provide and MIC of 1 µg/mL should be interpreted manually prior to reporting.
## D Special Instrument Requirements:
MicroScan panels can be read either manually or automatically on the WalkAway or autoSCAN-4 instrument systems.
## IV Device/System Characteristics:
### A Device Description:
The MicroScan Dried Gram-Negative MIC/Combo panel with levofloxacin is used to determine the quantitative and/or qualitative antimicrobial agent susceptibility of aerobic and facultatively anaerobic gram-negative bacilli colonies grown on solid media. After inoculation, panels are incubated for 16-20 hours at 35°C ± 1° in a non-CO₂ incubator and read either visually or with MicroScan instrumentation according to the package insert.
Inoculation methods: Turbidity or Prompt Inoculation System
Read methods: Manual, MicroScan WalkAway System and MicroScan autoSCAN-4
### B Principle of Operation:
The antimicrobial susceptibility tests are dehydrated miniaturizations of the broth dilution susceptibility test. Various antimicrobial agents are diluted in Mueller Hinton broth supplemented with calcium and magnesium to concentrations spanning the range of clinical
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interest. Breakpoint Combo panels use concentrations equivalent to the categorical breakpoints identified/recognized by FDA. After inoculation and rehydration with a standardized suspension of organism and incubation at 35°C for a minimum of 16 hours, the minimum inhibitory concentration (MIC) for the test organism is determined by observing the lowest antimicrobial concentration showing inhibition of growth.
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V Substantial Equivalence Information:
A Predicate Device Name(s):
MicroScan Dried Gram Negative MIC/Combo Panels with Meropenem (Mer) (0.004-32ug/mL)
B Predicate 510(k) Number(s):
K192355
C Comparison with Predicate(s):
| Device & Predicate Device(s): | Device: K193358 | Predicate: K192355 |
| --- | --- | --- |
| Device Trade Name | MicroScan Dried Gram Negative MIC/Combo Panels - Levofloxacin | MicroScan Dried Gram Negative MIC/Combo Panels - Meropenem |
| General Device Characteristic Similarities | | |
| Intended Use/Indications For Use | Determination of susceptibility with gram-negative bacilli | Same |
| Technology | Overnight microdilution MIC susceptibility test | Same |
| Specimen | Isolated colonies from culture | Same |
| Incubation Temperature | 35 °C ± 1°C | Same |
| Incubation Atmosphere | Aerobic | Same |
| Incubation Time | 16 – 20 hours | Same |
| Reading Method | Automated (WalkAway or autoSCAN-4) or Manual | Same |
| Result Reported | Report results as minimum inhibitory concentration (MIC) and categorical interpretation (SIR) | Same |
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| General Device Characteristic Differences | | |
| --- | --- | --- |
| Antimicrobial Agent | Dried Levofloxacin 0.008 – 16 μg/mL | Dried Meropenem 0.004 – 32 μg/mL |
VI Standards/Guidance Documents Referenced:
1. Class II Special Controls Guidance Document: Antimicrobial Susceptibility Test (AST) Systems; Guidance for Industry and FDA. August 2009
2. CLSI M07-A10. Methods for Dilution Antimicrobial Susceptibility Tests for Bacteria that Grow Aerobically. 10th ed. (January 2015)
3. CLSI M100. Performance Standards for Antimicrobial Susceptibility Testing. 29th ed. (January 2019)
VII Performance Characteristics (if/when applicable):
A Analytical Performance:
1. Precision/Reproducibility:
A reproducibility study was conducted at three external sites using 15 isolates of gram-negative bacilli that were consistent with the intended use. The range of levofloxacin dilutions tested was 0.008 - 16 μg/mL. Isolates were tested in triplicate over three days for a total of 405 data points (27 data points per isolate). The isolates tested in the reproducibility study included: C. freundii complex (1 isolate), E. cloacae (1 isolates), E. coli (4 isolates), K. oxytoca (2 isolates), K. pneumoniae (3 isolates), P. aeruginosa (1 isolate), P. mirabilis (1 isolate), S. marcescens (1 isolate), and S. typhi (1 isolate).
Inocula were prepared using both the turbidity and Prompt methods and results were read manually (visually) and with the WalkAway and autoSCAN-4 instrument systems. The majority of data points were on-scale and the majority were within ± one doubling dilution of the mode MIC (Table 2). For those read/inoculation combinations that included off-scale results, reproducibility was assessed as worst-case in addition to best-case.
The reproducibility results are acceptable.
Table 2. Reproducibility of Levofloxacin with all Inoculation and Read Methods
| Read Method | Reproducibility
No. within ± dilution of the mode MIC value (%) | | | |
| --- | --- | --- | --- | --- |
| | Prompt Inoculation | | Turbidity Inoculation | |
| | Best | Worst | Best | Worst |
| WalkAway | 402/405 (99.3) | N/A* | 401/405 (99.0) | 399/405 (98.5) |
| autoSCAN-4 | 403/405 (99.5) | N/A* | 403/405 (99.5) | 402/405 (99.3) |
| Manual | 402/405 (99.3) | 397/405 (98.0) | 402/405 (99.3) | 396/405 (97.8) |
*All results were on-scale.
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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):
Inoculum Density Check. A spectrophotometric device, the MicroScan Turbidity Meter, was used to ensure the accuracy of the turbidity inoculation method. A zero check of the turbidity meter was performed daily. The inocula prepared using the turbidity method were standardized using a reading of $0.08 \pm 0.02$ (equivalent to a $0.5\mathrm{McFarland}$ barium sulfate turbidity standard). The digital reading was recorded for each isolate and was considered acceptable based on recommendations in the Class II Special Controls Guidance Document: Antimicrobial Susceptibility Test (AST) Systems.
Inoculum density data for the Prompt inoculation system was collected from suspensions of the QC strain $E.$ coli ATCC 25922 and for all reproducibility isolates. Average colony counts were within the acceptable range for the QC strain and for all reproducibility isolates.
Purity Check. Purity checks were performed on all isolates for each inoculum preparation; only results from pure cultures were included.
Growth Failure Rate. Less than $10\%$ of isolates demonstrated no growth on the dried test panel.
Quality Control Testing. The CLSI-recommended QC organisms $E.$ coli ATCC 25922 and $P.$ aeruginosa ATCC 27853 were tested with all inoculation and read methods using 12 dilutions of levofloxacin $(0.008 - 16\mu \mathrm{g / mL})$ . The reference panel was inoculated using the turbidity method only. For both QC strains, quality control results were within the acceptable range for all inoculation and read methods. Results of current QC testing are shown in Table 3 below and demonstrate that QC results obtained were in the recommended range $>95\%$ of the time for the reference method and with all inoculation/reading methods for this device.
Table 3. Quality Control Results for all Inoculation and Read Methods for Levofloxacin
| Organism | Conc. (μg/mL) | Reference* | Prompt Inoculation Method | | | Turbidity Inoculation Method | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | Manual | WalkAway | AS4** | Manual | WalkAway | AS4** |
| E. coli | ≤0.008 | - | - | - | - | - | - | - |
| ATCC | 0.015 | 82 | 164 | 167 | 175 | 178 | 176 | 181 |
| 25922 | 0.03 | 107 | 24 | 18 | 12 | 9 | 11 | 5 |
| Expected | 0.06 | - | - | - | - | 2 | 2 | 2 |
| Range: | 0.12 | - | - | - | - | - | - | - |
| | 0.25 | - | 1 | 1 | 1 | - | - | - |
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| 0.008-0.006 μg/mL | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | | | | | | |
| P. aeruginosa ATCC 27853 Expected Range: 0.5-4 μg/mL | 0.25 | - | - | - | - | - | - | - |
| | 0.5 | 1 | 25 | 3 | 33 | 149 | 113 | 155 |
| | 1 | 177 | 161 | 175 | 153 | 40 | 76 | 32 |
| | 2 | 11 | 3 | 6 | 3 | - | - | - |
| | 4 | - | - | - | - | - | - | - |
| | 8 | - | - | - | - | - | - | - |
| | 16 | - | - | - | - | - | - | - |
| | >16 | - | - | 1 | - | - | - | - |
*Reference panel was inoculated using the turbidity method and interpreted manually.
**autoSCAN-4
6. Detection Limit:
Not Applicable
7. Assay Cut-Off:
Not Applicable
B Comparison Studies:
1. Method Comparison with Predicate Device:
The results obtained with the MicroScan Dried Gram-Negative MIC/Combo Panel with levofloxacin (dilution range 0.008 – 16 μg/mL) were compared to results obtained using a frozen broth microdilution reference panel (dilution range 0.008 – 16 μg/mL). Clinical isolates were evaluated at three testing sites in the U.S in a single study; challenge isolates were evaluated in one separate study performed at one external site.
The reference panel was prepared as described in CLSI document M07-A10 except for the use of Pluronic-F in the inoculum water for the reference panel. A summary of historical data from eight previously cleared antimicrobial tests to include ciprofloxacin was provided in the submission which demonstrated that including the wetting agent did not affect testing. In addition, the QC testing that was conducted during the clinical study was acceptable.
For the reference method and MicroScan panels inoculated using the turbidity method, panels were inoculated using the same standardized suspension further diluted into 25 mL of water with Pluronic-D (for the MicroScan dried panels) or Pluronic-F (for the frozen reference panels). MicroScan panels were also inoculated using the Prompt inoculation method with isolates inoculated into the Prompt inoculation bottle. Reference panels were read manually (visually); MicroScan panels inoculated with both inoculation methods were read using the WalkAway and autoSCAN-4 instruments and by manual read.
Clinical Study
To determine the performance of the MicroScan Dried Gram-Negative MIC/Combo Panel with Levofloxacin, a total of 541 Enterobacteriaceae, 19 Salmonella spp., and 79 P. aeruginosa clinical isolates were evaluated separately based on unique susceptibility test
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interpretive criteria with all inoculation and read methods (Tables 4 and 5). The testing included the following indicated Enterobacteriaceae species: C. freundii (12 isolates), C. koseri (49 isolates), K. (Enterobacter) aerogenes (32 isolates), E. cloacae (48 isolates), E. coli (77 isolates), K. oxytoca (47 isolates), K. pneumoniae (89 isolates), M. morganii (41 isolates), P. agglomerans (1 isolate), P. mirabilis (56 isolates), P. vulgaris (17 isolates), P. rettgeri (19 isolates), P. stuartii (21 isolates), S. marcescens (32 isolates), and Salmonella spp. (13 non-speciated isolates), and S. enteritidis (6 isolates). An additional 63 isolates of non-indicated Enterobacteriaceae species (10% of the total number of isolates tested) were also tested and included in the evaluation. Of all the clinical isolates tested, 462 (65.9%) were fresh (collected and tested within seven days), 218 (31.0%) were recent (isolated and tested within six months), and 22 (3.1%) were stock (isolated and tested after six months of isolation).
## Challenge Study
A total of 123 Enterobacteriaceae challenge isolates were evaluated. These included: C. koseri (3 isolates), K. aerogenes (2 isolates), E. cloacae (8 isolates), E. coli (12 isolates), K. oxytoca (6 isolates), K. pneumoniae (10 isolates), M. morganii (1 isolate), P. mirabilis (7 isolates), P. rettgeri (1 isolate), S. marcescens (4 isolates), and S. typhi (64 isolates). In addition, the following non-indicated species were evaluated; C. freundii complex (2 isolates), and S. liquefaciens (3 isolates). A total of 14 challenge isolates of P. aeruginosa were evaluated.
Results for EA, CA and categorical errors for Enterobacteriaceae and P. aeruginosa for all inoculation and read methods are shown in Tables 4 and 5 below. Essential agreement of evaluable results was calculated considering MIC results that were clearly identical to reference method results or clearly ≥ one doubling dilution higher or lower than the reference method results. Overall results for Enterobacteriaceae and for P. aeruginosa with all inoculation and read methods were acceptable.
For C. koseri, P. vulgaris, and P. agglomerans, no resistant isolates were available for evaluation during clinical or challenge testing. The sponsor included the following limitation in the device labeling:
The ability of the MicroScan Dried Gram-Negative Panels to detect resistance to levofloxacin is unknown for the following species because an insufficient number of resistant strains were available at the time of comparative testing: C. koseri, P. vulgaris, and P. agglomerans. Isolates yielding MIC results suggestive of a resistant interpretive category should be submitted to a reference laboratory.
The overall EA and CA performance for Enterobacteriaceae for the WalkAway, autoSCAN-4, and manual read methods were acceptable for each inoculation method (Tables 4 and 5). Testing using the autoSCAN-4 for both inoculation method resulted in two additional very major errors for P. mirabilis and S. marcescens. However, this was considered acceptable given that there was only one VME each and a limited number of resistant isolates for these species. In addition, the sponsor included the following footnote to the performance table in the device labeling:
One resistant strain of Proteus mirabilis and Serratia marcescens had a single very major error compared to the reference method when using the autoSCAN-4 instrument
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with both turbidity and Prompt inoculation methods.
In addition, one very major error was observed for *K. pneumoniae* for all read and inoculation methods resulting in a VME rate of 5.3% (1/19) for this species. As a result, the sponsor included results from their Assay Development-3 Project which consisted of 24 additional levofloxacin resistant *K. pneumoniae* strains. Inclusion of these isolates resulted in an overall VME rate of 2.3% (1/43). Given this, the sponsor was not requested to test additional isolates. The sponsor included the following footnote in the device labeling:
One resistant Klebsiella pneumoniae strain resulted in a very major error when compared to the reference method across all read and inoculation methods.
*Salmonella* spp. results were evaluated separately from *Enterobacteriaceae* due to differences in susceptibility test interpretive criteria. In addition to the 21 isolates that were tested in this clinical study, the sponsor included results obtained with an additional 62 *S. typhi* challenge isolates for a total of 83 *Salmonella* spp. isolates. The overall EA and CA performance for this organism were acceptable for each read method and inoculation method (Tables 4 and 5) and there were no major or very major errors.
The overall EA and CA performance for *P. aeruginosa* was acceptable for all read and inoculation methods. Testing for *P. aeruginosa* yielded one VME for the WalkAway and Prompt read/inoculation combination (1/34, 2.9%), four VMEs with the autoSCAN-4 and Prompt (4/34, 11.8%), two VMEs with the autoSCAN-4 and turbidity inoculation (2/34, 5.9%), and one VME when read manually with turbidity inoculation. Due to the high VME rates, as a separate analysis, the sponsor included results from their Assay Development-3 Project which consisted of 18 levofloxacin resistant *P. aeruginosa* strains for the WalkAway/Prompt comparison and 21 resistant strains for the manual/turbidity comparison. All results were acceptable yielding a 1.9% (1/52) VME for the WalkAway/Prompt, and 1.8% (1/55) VME rate for the manual/turbidity combinations, however, this is not reflected in performance tables 4 and 5 below. Given that there was only one very major error for the WalkAway and manual methods and acceptable VME rates with the pooled data, the performance was considered acceptable. However, due to the high VME rate for the autoSCAN-4, the sponsor included the following as a limitation should the user yield an MIC result of 1 µg/mL:
Due to the occurrence of very major errors with levofloxacin and the autoSCAN-4 with both turbidity and Prompt inoculation methods, isolates of *P. aeruginosa* that provide and MIC of 1 µg/mL should be interpreted manually prior to reporting.
For this review, the interpretative criteria are applied to *Enterobacteriaceae*, *Salmonella* spp., and *Pseudomonas aeruginosa* according to the FDA STIC website. As required under 511A(2)(2)(B) of the Federal Food, Drug and Cosmetic Act, the following statements were included under Warning and Precautions Section in the MicroScan Dried Gram-Negative MIC/Combo Panels package insert:
The safety and efficacy of antimicrobial agents tested by this 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 section in the drug label. The clinical significance in those instances is unknown. The
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approved labeling for specific antimicrobial agents provides the uses for which the antimicrobial drug is approved.
Table 4. Performance of MicroScan Dried Gram-Negative Panels with Levofloxacin, Using Prompt Inoculation and All Read Methods
| | Tot | No. EA | EA % | Eval EA Tot | No. Eval EA | Eval EA % | No. CA | CA % | No. R | No. S | min | maj | vmj |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| WalkAway Read | | | | | | | | | | | | | |
| Enterobacteriaceae*, ≤0.5 (S), 1 (I), ≥2 (R) | | | | | | | | | | | | | |
| Clinical | 604 | 580 | 96.0 | 575 | 551 | 95.8 | 586 | 97.0 | 105 | 486 | 17 | 0 | 1 |
| Challenge | 59 | 56 | 94.9 | 54 | 51 | 94.4 | 55 | 93.2 | 28 | 29 | 3 | 0 | 1 |
| Total | 663 | 636 | 95.9 | 629 | 602 | 95.7 | 641 | 96.7 | 133 | 515 | 20 | 0 | 2 |
| Salmonella spp., ≤0.12 (S), 0.25-1 (I), ≥2 (R) | | | | | | | | | | | | | |
| Clinical | 19 | 19 | 100 | 19 | 19 | 100 | 19 | 100 | 0 | 17 | 0 | 0 | 0 |
| Challenge | 64 | 64 | 100 | 64 | 64 | 100 | 63 | 98.4 | 19 | 21 | 1 | 0 | 0 |
| Total | 83 | 83 | 100 | 83 | 83 | 100 | 82 | 98.8 | 19 | 38 | 1 | 0 | 0 |
| P. aeruginosa, ≤1 (S), 2 (I), ≥4 | | | | | | | | | | | | | |
| Clinical | 79 | 74 | 93.7 | 70 | 65 | 92.9 | 73 | 92.4 | 24 | 51 | 4 | 1 | 1 |
| Challenge | 14 | 13 | 92.9 | 13 | 12 | 92.3 | 12 | 85.7 | 10 | 3 | 2 | 0 | 0 |
| Total | 93 | 87 | 93.6 | 83 | 77 | 92.8 | 85 | 91.4 | 34 | 54 | 6 | 1 | 1 |
| autoSCAN-4 Read | | | | | | | | | | | | | |
| Enterobacteriaceae*, ≤0.5 (S), 1 (I), ≥2 (R) | | | | | | | | | | | | | |
| Clinical | 604 | 570 | 94.4 | 576 | 542 | 94.1 | 585 | 96.9 | 105 | 486 | 17 | 0 | 2 |
| Challenge | 59 | 54 | 91.5 | 54 | 49 | 90.7 | 54 | 91.5 | 28 | 29 | 2 | 0 | 2 |
| Total | 663 | 624 | 94.1 | 630 | 591 | 93.8 | 639 | 96.4 | 133 | 515 | 19 | 1 | 4 |
| Salmonella spp., ≤0.12 (S), 0.25-1 (I), ≥2 (R) | | | | | | | | | | | | | |
| Clinical | 19 | 19 | 100 | 19 | 19 | 100 | 19 | 100 | 0 | 17 | 0 | 0 | 0 |
| Challenge | 64 | 64 | 100 | 64 | 64 | 100 | 63 | 98.4 | 19 | 21 | 1 | 0 | 0 |
| Total | 83 | 83 | 100 | 83 | 83 | 100 | 82 | 98.8 | 19 | 38 | 1 | 0 | 0 |
| P. aeruginosa, ≤1 (S), 2 (I), ≥4 | | | | | | | | | | | | | |
| Clinical | 79 | 72 | 91.1 | 70 | 63 | 90.0 | 71 | 89.9 | 24 | 51 | 4 | 1 | 3 |
| Challenge | 14 | 13 | 92.9 | 13 | 12 | 92.3 | 12 | 85.7 | 10 | 3 | 1 | 0 | 1 |
| Total | 93 | 85 | 91.4 | 83 | 75 | 90.4 | 83 | 89.3 | 34 | 54 | 5 | 1 | 4 |
| Manual Read | | | | | | | | | | | | | |
| Enterobacteriaceae*, ≤0.5 (S), 1 (I), ≥2 (R) | | | | | | | | | | | | | |
| Clinical | 604 | 582 | 96.4 | 574 | 552 | 96.2 | 586 | 97.0 | 105 | 486 | 17 | 0 | 1 |
| Challenge | 59 | 56 | 94.9 | 54 | 51 | 94.4 | 55 | 93.2 | 28 | 29 | 3 | 0 | 1 |
| Total | 663 | 638 | 96.2 | 628 | 603 | 96.0 | 641 | 96.7 | 133 | 515 | 20 | 0 | 2 |
| Salmonella spp., ≤0.12 (S), 0.25-1 (I), ≥2 (R) | | | | | | | | | | | | | |
| Clinical | 19 | 19 | 100 | 19 | 19 | 100 | 19 | 100 | 0 | 17 | 0 | 0 | 0 |
| Challenge | 64 | 64 | 100 | 64 | 64 | 100 | 63 | 98.4 | 19 | 21 | 1 | 0 | 0 |
| Total | 83 | 83 | 100 | 83 | 83 | 100 | 82 | 98.8 | 19 | 38 | 1 | 0 | 0 |
| P. aeruginosa, ≤1 (S), 2 (I), ≥4 | | | | | | | | | | | | | |
| Clinical | 79 | 75 | 94.9 | 70 | 66 | 94.3 | 75 | 94.9 | 24 | 51 | 3 | 1 | 0 |
| Challenge | 14 | 13 | 92.9 | 13 | 12 | 92.3 | 12 | 85.7 | 10 | 3 | 2 | 0 | 0 |
| Total | 93 | 88 | 94.6 | 83 | 78 | 94.0 | 87 | 93.6 | 34 | 54 | 5 | 1 | 0 |
*Includes non-indicated species (68/663, 10.3%).
EA - Essential Agreement (± 1 dilution)
min - minor discrepancies
CA - Category Agreement
maj - major discrepancies
EVAL - Evaluable isolates
vmj - very major discrepancies
No. R/S - Resistant/Susceptible
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Essential agreement (EA) occurs when the result of the reference method and that of the MicroScan Dried Gram-Negative MIC/Combo Panel 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 MicroScan Dried Gram-Negative MIC/Combo Panel. Category agreement (CA) occurs when the interpretation of the result of the reference method agrees exactly with the interpretation provided by the MicroScan Dried Gram-Negative MIC/Combo Panel.
Table 5. Performance of MicroScan Dried Gram-Negative Panels with Levofloxacin, Using Turbidity Inoculation and All Read Methods
| | Tot | No. EA | EA % | Eval EA Tot | No. Eval EA | Eval EA % | No. CA | CA % | No. R | No. S | min | maj | vmj |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| WalkAway Read | | | | | | | | | | | | | |
| Enterobacteriaceae*, ≤0.5 (S), 1 (I), ≥2 (R) | | | | | | | | | | | | | |
| Clinical | 604 | 590 | 97.7 | 576 | 562 | 97.6 | 591 | 97.9 | 105 | 486 | 12 | 0 | 1 |
| Challenge | 59 | 56 | 94.9 | 55 | 52 | 94.6 | 54 | 91.5 | 28 | 29 | 4 | 0 | 1 |
| Total | 663 | 646 | 97.4 | 631 | 614 | 97.3 | 645 | 97.3 | 133 | 515 | 16 | 0 | 2 |
| Salmonella spp., ≤0.12 (S), 0.25-1 (I), ≥2 (R) | | | | | | | | | | | | | |
| Clinical | 19 | 19 | 100 | 19 | 19 | 100 | 19 | 100 | 0 | 17 | 0 | 0 | 0 |
| Challenge | 64 | 64 | 100 | 64 | 64 | 100 | 64 | 100 | 19 | 21 | 0 | 0 | 0 |
| Total | 83 | 83 | 100 | 83 | 83 | 100 | 83 | 100 | 19 | 38 | 0 | 0 | 0 |
| P. aeruginosa, ≤1 (S), 2 (I), ≥4 | | | | | | | | | | | | | |
| Clinical | 79 | 77 | 97.5 | 70 | 68 | 97.1 | 75 | 94.9 | 24 | 51 | 4 | 0 | 0 |
| Challenge | 14 | 14 | 100 | 13 | 13 | 100 | 13 | 92.9 | 10 | 3 | 1 | 0 | 0 |
| Total | 93 | 91 | 97.9 | 83 | 81 | 97.6 | 88 | 94.6 | 34 | 54 | 5 | 0 | 0 |
| autoSCAN-4 Read | | | | | | | | | | | | | |
| Enterobacteriaceae*, ≤0.5 (S), 1 (I), ≥2 (R) | | | | | | | | | | | | | |
| Clinical | 604 | 580 | 96.0 | 576 | 552 | 95.8 | 589 | 97.5 | 105 | 486 | 13 | 0 | 2 |
| Challenge | 59 | 55 | 93.2 | 55 | 51 | 92.7 | 54 | 91.5 | 28 | 29 | 3 | 0 | 2 |
| Total | 663 | 635 | 95.8 | 631 | 603 | 95.6 | 643 | 97.0 | 133 | 515 | 16 | 0 | 4 |
| Salmonella spp., ≤0.12 (S), 0.25-1 (I), ≥2 (R) | | | | | | | | | | | | | |
| Clinical | 19 | 19 | 100 | 19 | 19 | 100 | 19 | 100 | 0 | 17 | 0 | 0 | 0 |
| Challenge | 64 | 64 | 100 | 64 | 64 | 100 | 63 | 98.4 | 19 | 21 | 1 | 0 | 0 |
| Total | 83 | 83 | 100 | 83 | 83 | 100 | 82 | 98.8 | 19 | 38 | 1 | 0 | 0 |
| P. aeruginosa, ≤1 (S), 2 (I), ≥4 | | | | | | | | | | | | | |
| Clinical | 79 | 74 | 93.7 | 70 | 65 | 92.9 | 72 | 91.1 | 24 | 51 | 5 | 0 | 2 |
| Challenge | 14 | 12 | 85.7 | 14 | 12 | 85.7 | 12 | 85.7 | 10 | 3 | 2 | 0 | 0 |
| Total | 93 | 86 | 92.5 | 84 | 77 | 91.2 | 84 | 90.3 | 34 | 54 | 7 | 0 | 2 |
| Manual Read | | | | | | | | | | | | | |
| Enterobacteriaceae*, ≤0.5 (S), 1 (I), ≥2 (R) | | | | | | | | | | | | | |
| Clinical | 604 | 589 | 97.5 | 576 | 561 | 97.4 | 591 | 97.9 | 105 | 486 | 12 | 0 | 1 |
| Challenge | 59 | 56 | 94.9 | 55 | 52 | 94.6 | 54 | 91.5 | 28 | 29 | 4 | 0 | 1 |
| Total | 663 | 645 | 97.3 | 631 | 613 | 97.1 | 645 | 97.3 | 133 | 515 | 16 | 0 | 2 |
| Salmonella spp., ≤0.12 (S), 0.25-1 (I), ≥2 (R) | | | | | | | | | | | | | |
| Clinical | 19 | 19 | 100 | 19 | 19 | 100 | 19 | 100 | 0 | 17 | 0 | 0 | 0 |
| Challenge | 64 | 64 | 100 | 64 | 64 | 100 | 61 | 95.3 | 19 | 21 | 3 | 0 | 0 |
| Total | 83 | 83 | 100 | 83 | 83 | 100 | 80 | 96.4 | 19 | 38 | 3 | 0 | 0 |
| P. aeruginosa, ≤1 (S), 2 (I), ≥4 | | | | | | | | | | | | | |
| Clinical | 79 | 76 | 96.2 | 70 | 67 | 95.7 | 76 | 96.2 | 24 | 51 | 2 | 0 | 1 |
| Challenge | 14 | 13 | 92.9 | 14 | 13 | 92.9 | 13 | 92.9 | 10 | 3 | 1 | 0 | 0 |
| Total | 93 | 89 | 95.7 | 84 | 80 | 95.2 | 89 | 95.7 | 34 | 54 | 3 | 0 | 1 |
*Includes non-indicated species.
## Resistance Mechanism Characterization
Challenge isolates of Enterobacteriaceae and P. aeruginosa harboring various molecular mechanisms of resistance noted in the FDA approved drug label were tested with levofloxacin.
K193358 - Page 11 of 14
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Isolates from the following CDC and FDA Antibiotic Resistance Isolate Bank panels were evaluated: Enterobacteriaceae Carbapenem Breakpoint Panel, Enterobacteriaceae Carbapenemase Diversity Panel, Gram Negative Carbapenemase Detection Panel, and the Ceftolozane/tazobactam Panel.
## Trending
An analysis of trending was conducted using the combined clinical and challenge data for each organism group and for each inoculation and read method. This trending calculation takes into account MIC values that are determined to be one or more doubling dilution lower or higher compared to 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.
Trending results for indicated species were evaluated to determine if species-specific trends were observed. Species or 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 provides higher or lower MIC values compared to the reference is addressed in labeling.
A trend toward lower MIC readings was observed for Enterobacteriaceae using all read and inoculation methods (Table 6) in comparison to the reference method. In addition, a trend toward lower MIC readings was observed for P. aeruginosa using all read methods and turbidity inoculation method and autoSCAN-4 reading method using the Prompt inoculation method. Given this, the sponsor included the following footnote to the performance table in the device labeling:
An MIC bias for Levofloxacin and Enterobacteriaceae with all read/inoculation methods, and Pseudomonas aeruginosa with all read methods/turbidity inoculation and the autoSCAN-4/Prompt inoculation tended to be one doubling dilution lower than the reference method.
Table 6: Trending for Enterobacteriaceae and P. aeruginosa For All Read/Inoculation Methods
| Inoculation/ Read Method | Organism | Total Evaluable for Trending | ≥1 Dilution lower No. (%) | Exact No. (%) | ≥1 Dilution Higher No. (%) | Percent Difference (CI) | Trending Noted |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Prompt/ WalkAway | Enterobacteriaceae* | 719 | 293 (40.8) | 399 (55.5) | 27 (3.8) | -37.0 | Yes |
| | P. aeruginosa | 84 | 20 (23.8) | 56 (66.7) | 8 (9.5) | -14.3 | No |
| Prompt/ autoSCAN-4 | Enterobacteriaceae* | 721 | 346 (48.0) | 350 (48.6) | 25 (3.5) | -44.5 | Yes |
| | P. aeruginosa | 85 | 32 (37.7) | 48 (56.5) | 5 (5.9) | -31.8 | Yes |
| Prompt/ Manual | Enterobacteriaceae* | 718 | 292 (40.7) | 395 (55.0) | 31 (4.3) | -36.4 | Yes |
| | P. aeruginosa | 84 | 22 (26.2) | 53 (63.1) | 9 (10.7) | -15.5 | No |
| Turbidity/ WalkAway | Enterobacteriaceae* | 721 | 326 (45.2) | 376 (52.2) | 19 (2.6) | -42.6 | Yes |
| | P. aeruginosa | 85 | 36 (42.4) | 44 (51.8) | 5 (5.9) | -36.5 | Yes |
| Turbidity/ autoSCAN- | Enterobacteriaceae* | 722 | 395 (54.7) | 310 (42.9) | 17 (2.4) | -54.7 | Yes |
K193358 - Page 12 of 14
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| Inoculation/Read Method | Organism | Total Evaluable for Trending | ≥1 Dilution lower No. (%) | Exact No. (%) | ≥1 Dilution Higher No. (%) | Percent Difference (CI) | Trending Noted |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 4 | P. aeruginosa | 85 | 47 (55.3) | 34 (40) | 4 (4.7) | -50.6 | Yes |
| Turbidity/Manual | Enterobacteriaceae* | 721 | 335 (46.5) | 366 (50.8) | 20 (2.8) | -43.7 | Yes |
| | P. aeruginosa | 85 | 37 (43.5) | 43 (50.6) | 5 (5.9) | -37.7 | Yes |
*Includes Salmonella spp. and non-indicated species.
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 7. FDA-Recognized Interpretive Criteria for Levofloxacin
| Organism | Interpretive Criteria for Levofloxacin (μg/mL)a | | |
| --- | --- | --- | --- |
| | Susceptible | Intermediate | Resistant |
| Enterobacteriaceae | ≤0.5 | 1 | ≥2 |
| P. aeruginosa | ≤1 | 2 | ≥4 |
| Salmonella spp. | ≤0.12 | 0.25 - 1 | ≥2 |
*FDA STIC Webpage
VIII Proposed Labeling:
The labeling supports the finding of substantial equivalence for this device.
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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 Beckman Coulter intends to use to evaluate the MicroScan Dried Gram-Negative MIC/Combo Panels with Levofloxacin (Lvx) (0.008 - 16 µg/mL) when revised breakpoints for levofloxacin are published on the FDA STIC webpage. The breakpoint change protocol included with the submission indicated that if specific criteria are met, Beckman Coulter will update the levofloxacin 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.
K193358 - Page 14 of 14
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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.