Sensititre 18-24 hour MIC Breakpoint Susceptibility System with Plazomicin in the dilution range of 0.06-128 ug/mL
Applicant
Thermo Fisher Scientific
Product Code
JWY · Microbiology
Decision Date
Aug 8, 2018
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 866.1640
Device Class
Class 2
Indications for Use
The Sensititre MIC and Breakpoint Susceptibility system is an in vitro diagnostic product for clinical susceptibility testing of non-fastidious Gram negative isolates, comprising of Enterobacteriaceae, Pseudomonas aeruginosa, and other non-Enterobacteriaceae and of non-fastidious Gram positive isolates, comprising of Staphylococcus spp., Enterococcus spp., and Beta haemolytic Streptococci other than S. pneumoniae.
Device Story
Sensititre 18-24 hour MIC system is an in vitro diagnostic device for antimicrobial susceptibility testing (AST). It utilizes multi-well plastic micro-titer plates pre-dosed with dried, stabilized Plazomicin. Clinical samples are inoculated into the plates using the Sensititre AIM autoinoculator. Plates are incubated at 34-36°C for 18-24 hours. Bacterial growth is detected either manually via the VIZION digital viewing device or automatically via the OptiRead autoreader using fluorogenic substrate technology. The system measures the lowest concentration of antimicrobial that inhibits bacterial growth (MIC). Healthcare providers use these MIC results to determine susceptibility categories (S, I, R) to guide antibiotic therapy decisions. The device is intended for use in clinical laboratory settings.
Clinical Evidence
Performance evaluated using 546 combined clinical and challenge isolates of Enterobacteriaceae. Testing compared Sensititre results (read by OptiRead and VIZION) against CLSI reference broth microdilution. Results showed >90% EA and CA for both reading methods. Reproducibility was >95%. No clinical data provided; performance based on bench testing of clinical and challenge isolates.
Indicated for clinical susceptibility testing of non-fastidious gram-negative organisms (E. coli, K. pneumoniae, P. mirabilis, E. cloacae) and in vitro testing of C. freundii, C. koseri, K. aerogenes, K. oxytoca, M. morganii, P. stuartii, S. marcescens, and P. vulgaris.
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.
Predicate Devices
Sensititre 18-24 hour Susceptibility MIC Plates, Ceftazidime/avibactam (K152774)
Submission Summary (Full Text)
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# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY
A. 510(k) Number:
K181946
B. Purpose for Submission:
To obtain a substantial equivalence determination for the addition of Plazomicin at concentrations 0.06-128 µg/mL to the Sensititre 18-24 MIC for susceptibility testing of non-fastidious Gram negative organisms.
C. Measurand:
Plazomicin 0.06-128 µg/mL
D. Type of Test:
Quantitative Antimicrobial Susceptibility Test (AST) growth-based detection
E. Applicant:
ThermoFisher Scientific
F. Proprietary and Established Names:
Sensititre 18-24 hour MIC or Breakpoint Susceptibility System with Plazomicin in the dilution range of 0.06-128 µg/mL
G. Regulatory Information:
1. Regulation section:
866.1640 Antimicrobial Susceptibility Test Powder
2. Classification:
Class II
3. Product code:
JWY – Manual Antimicrobial Susceptibility Test Systems
LRG – Instrument for Auto Reader and Instrumentation of Overnight Susceptibility Systems
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LTT – Panels, Test, Susceptibility, Antimicrobial
4. Panel:
83 - Microbiology
H. Intended Use:
1. Intended use(s):
The Sensititre MIC and Breakpoint Susceptibility system is an *in vitro* diagnostic product for clinical susceptibility testing of non-fastidious Gram negative isolates, comprising of *Enterobacteriaceae*, *Pseudomonas aeruginosa*, and other non-*Enterobacteriaceae* and of non-fastidious Gram positive isolates, comprising of *Staphylococcus spp.*, *Enterococcus spp.*, and Beta haemolytic *Streptococci* other than *S. pneumoniae*.
2. Indication(s) for use:
The Sensititre 18-24 hour MIC or Breakpoint Susceptibility System is an *in vitro* diagnostic product for clinical susceptibility testing of non-fastidious isolates.
This 510(k) is for Plazomicin in the dilution range of 0.06 - 128 µg/mL for testing non-fastidious Gram negative organisms on the Sensititre 18-24 hour MIC panel.
Plazomicin has been shown to be active both clinically and *in vitro* against the following organisms according to the FDA drug label:
- *Escherichia coli*
- *Klebsiella pneumoniae*
- *Proteus mirabilis*
- *Enterobacter cloacae*
The following *in vitro* data are available, but their clinical significance is unknown:
- *Citrobacter freundii*
- *Citrobacter koseri*
- *Klebsiella aerogenes*
- *Klebsiella oxytoca*
- *Morganella morganii*
- *Proteus vulgaris*
- *Providentia stuartii*
- *Serratia marcescens*
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3. Special conditions for use statement(s):
For prescription use only
The following information is included in labeling:
- Studies of plazomicin were performed using the AIM autoinoculator. The use of an alternative inoculation system when testing plazomicin has not been evaluated.
- The ability of the Sensititre system to detect resistance to Plazomicin in the following species is unknown because resistant strains were not available at the time of comparative testing: *E. cloacae*, *P. vulgaris*, *K. oxytoca*, *K. aerogenes*, and *C. koseri*. Isolates yielding Plazomicin MIC results suggestive of a resistant category (i.e., ≥8 μg/mL) should be submitted to a reference laboratory for further testing.
- Resistance mechanism characterization was not provided for all organisms at the time comparative testing, and therefore the performance of the Sensititre Plazomicin for non-fastidious gram negative organisms is unknown for isolates with the following resistance mechanisms: aminoglycoside modifying enzymes (AMEs), 16S rRNA methyltransferases (RMTs), up-regulation of efflux pumps, or loss of outer membrane porins.
- The performance of plazomicin with gram negative organisms was performed using the AutoReader (OptiRead) and VIZION reading methods only. The use of an alternative reading method when testing plazomicin has not been evaluated.
- The safety and efficacy of plazomicin in treating clinical infections due to bacteria other than *E. coli*, *K. pneumoniae*, *P. mirabilis*, and *E. cloacae* may or may not have been established in adequate and well-controlled clinical trials and the clinical significance of such susceptibility information in those instances is unknown.
4. Special instrument requirements:
Sensititre AIM for device inoculation
Sensititre VIZION or OptiRead for plate reading
I. Device Description:
Sensititre MIC Susceptibility plate MIC panels are multi-well plastic micro-titer plates, dosed with dried, stabilized antimicrobials. It is a miniaturized version of the classic broth dilution methods and can provide both qualitative and quantitative susceptibility results. After inoculation, plates are sealed with an adhesive seal, incubated at 34-36°C for 18-24 hours and examined for bacterial growth.
Antimicrobial susceptibility test results can be determined by reading of growth using the digital viewing device (VIZION) or automatically on an autoreader (OptiRead) using
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fluorescence.
# J. Substantial Equivalence Information:
1. Predicate device name(s):
Sensititre 18-24 hour Susceptibility MIC Plates, Ceftazidime/avibactam
2. Predicate $510(\mathrm{k})$ number(s):
K152774
3. Comparison with predicate:
Table 1. Comparison with Predicate Device
| Similarities | | |
| --- | --- | --- |
| Item | Sensititre 18-24 Susceptibility, Plazomicin (K181946) | Predicate: Sensititre 18-24 Susceptibility, Ceftazidime/avibactam (K152774) |
| Intended Use | The Sensititre MIC and Breakpoint Susceptibility System is an in vitro diagnostic product for clinical susceptibility testing of non-fastidious Gram negative isolates, comprising of Enterobacteriaceae, Pseudomonas aeruginosa, and other non-Enterobacteriaceae and of non-fastidious Gram positive isolates, comprising of Staphylococcus spp., Enterococcus spp., and Beta haemolytic Streptococci other than S. pneumoniae | Same |
| Test Panel | 96-well plate dosed with selected antimicrobial agents then dried | Same |
| Results | Report results as Minimum Inhibitory Concentration (MIC) and interpretive criteria (S, I, R) | Same |
| Reading Method | Results can be read by the following methods:1) Automatically - with the OptiRead (fluorogenic substrate technology)2) On the VIZION - Digital Viewing Device | Same |
| Test Organism | Non-fastidious Gram negative isolates | Same |
| Incubation | 18-24 hours | Same |
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| Differences | | |
| --- | --- | --- |
| Item | Sensititre 18-24 Susceptibility, Plazomicin (K181946) | Predicate: Sensititre 18-24 Susceptibility, Ceftazidime/avibactam (K152774) |
| Drug | Plazomicin (0.06-128 μg/mL) | Ceftazidime/avibactam (0.015/4-32/4 μg/ml) |
## K. Standard/Guidance Document Referenced (if applicable):
1. Guidance for Industry and FDA - Class II Special Controls Guidance Document: Antimicrobial Susceptibility Test (AST) Systems – August 28, 2009.
2. CLSI M100-S027: Performance Standards for Antimicrobial Susceptibility Testing; Twenty-Seventh Informational Supplement
3. CLSI M7-A10: Methods for Dilution Antimicrobial Susceptibility Tests for Bacteria that Grow Aerobically; Approved Standard – Tenth Edition
## L. Test Principle:
The Sensititre 18-24 hour MIC or Breakpoint Susceptibility System are multi-well plastic microtitre plates that contain doubled dilution of antibacterial agents. Each plate includes antimicrobial agents at appropriate dilutions. Results can be read by the VIZION or by use of an automated reader (OptiRead).
The VIZION allows the panel image to be displayed on a touch screen directly from a video camera and allows the user to manually select MIC results. The Sensititre OptiRead utilizes fluorescence technology to read the microbroth dilution plates after 18 to 24 hours incubation. The technology involves the detection of bacterial growth by monitoring the activity of specific surface enzymes produced by the test organism. Growth is determined by generating a fluorescent product from a fluorogenic substrate. The substrate is prepared by conjugating a fluorescent compound to the specific enzyme substrates with a bond which prevents fluorescence. The enzymatic action of the bacterial surface enzymes on the substrate cleaves the bond releasing fluorescence. The amount of fluorescence detected is directly related to bacterial growth. The MIC is determined by observing the lowest dilution of antimicrobial agent that inhibits growth of the organism. The substrate can be added to the inoculum broth which is dispensed into the test plate at the same time as the test organism, or, the plates can be prepared with the substrate already added to each micro-well.
## M. Performance Characteristics:
1. Analytical performance:
a. Precision/Reproducibility:
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A reproducibility study was performed at four sites using 13 Gram negative organisms that included five E. coli isolates, four K. pneumoniae isolates, one P. mirabilis, one E. cloacae isolate, and two isolates of K. oxytoca. The isolates were tested in triplicate over three different days for each reading method (i.e., VIZION and OptiRead) for a total of 117 data points for each. The Sensititre AIM was used for plate inoculation. The mode MIC value was pre-determined and the reproducibility was calculated based on MIC values falling within ±1 dilution of the mode MIC value. All MIC results were on-scale by both reading methods. Reproducibility was greater than 95% for both the VIZION and the OptiRead methods. The results were acceptable.
b. Linearity/assay reportable range:
Not Applicable
c. Traceability, Stability, Expected values (controls, calibrators, or methods):
## Quality Control Testing:
The CLSI recommended QC strains, namely 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. The results are summarized in Table 2 below. The quality control results were acceptable.
Table 2. Quality Control Results – Plazomicin
| Organism | Conc. (μg/mL) | Reference Panel | OptiRead | VIZION |
| --- | --- | --- | --- | --- |
| | | | | |
| E. coli ATCC 25922
Expected Result: 0.25-2 μg/mL | 0.12 | 0 | 0 | 0 |
| | 0.25 | 5 | 2 | 2 |
| | 0.5 | 68 | 70 | 71 |
| | 1 | 7 | 7 | 6 |
| | 2 | 0 | 1 | 1 |
| | 4 | 0 | 0 | 0 |
| | | | | |
| P. aeruginosa ATCC 27853
Expected Result: 1-4 μg/mL | 0.5 | 0 | 0 | 0 |
| | 1 | 24 | 18 | 4 |
| | 2 | 53 | 62 | 72 |
| | 4 | 3 | 0 | 4 |
| | 8 | 0 | 0 | 0 |
## Inoculum Density Check:
The inoculum density of each quality control, reproducibility, all clinical and challenge isolates were determined each day of testing. The inoculum was prepared to achieve turbidity equivalent to a 0.5 McFarland standard. A total of 453 inoculum density checks were performed for each test and reference panel for clinical isolates, 93 for each for test and reference panel for challenge isolates, 160 for each test and
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reference panel for QC isolates, and all reproducibility isolates. The colony counts obtained for all isolates were within acceptable range.
d. Detection limit:
Not Applicable
e. Analytical specificity:
Not Applicable
f. Assay cut-off:
Not Applicable
2. Comparison studies:
a. Method comparison with predicate device:
The reference panel used for the comparison was prepared according to the CLSI recommendation and used as the reference method. During the course of the clinical trial, all Sensititre dried MIC panels were inoculated using the Sensititre Autoinoculator (AIM) and the same panel was read on both the VIZION and the OptiRead in a blinded manner.
Clinical:
Clinical testing was conducted at four sites using a total of 453 fresh clinical Enterobacteriaceae isolates that included E. coli (104), K. pneumoniae (84), E. cloacae (41), P. mirabilis (43), P. vulgaris (20), K. oxytoca (43), M. morganii (20), K. aerogenes (20), C. koseri (21), C. freundii (20), P. stuartii (16), and S. marcescens (21).
Challenge:
An additional 93 stock challenge isolates were tested at one study site. Challenge testing was conducted using E. coli (13), K. pneumoniae (23), E. cloacae (7), P. mirabilis (4), P. vulgaris (4), K. oxytoca (6), M. morganii (8), K. aerogenes (8), C. koseri (3), C. freundii (6), P. stuartii (3), and S. marcescens (8). Of these 93 challenge isolates, 11 were resistant to plazomicin by the reference method.
A total of 27 resistant strains (clinical and challenge) of Enterobacteriaceae were evaluated. No resistant strains of the following species were evaluated: E. cloacae, P. vulgaris, K. oxytoca, E. aerogenes, C. koseri, and C. freundii. In addition, only one isolate each of P. mirabilis and S. marcescens was resistant. As a result, the sponsor included the following limitation in the device labeling:
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The ability of the Sensititre system to detect resistance to plazomicin in the following species is unknown because resistant strains were not available or insufficient at the time of comparative testing: E. cloacae, P. vulgaris, P. mirabilis, K. oxytoca, E. aerogenes, C. koseri, C. freundii, and S. marcescens.
In total, 546 combined (Clinical and Challenge) isolates were evaluated. Tables 3 and 4 below illustrate the performance for the OptiRead and the VIZION, respectively.
The growth rate for each plate read in the clinical and challenge studies was 100%.
Table 3. Combined (Clinical and Challenge) Performance Summary of Enterobacteriaceae isolates – Read by OptiRead*
| Plazomicin | Total | EA N | %EA Total | Total Eval | EA Eval | %EA Eval | CA N | % CA | #R | min | maj | vmj |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Clinical | 453 | 450 | 99.3 | 450 | 447 | 99.3 | 435 | 96.0 | 12 | 18 | 0 | 0 |
| Challenge | 93 | 92 | 98.9 | 87 | 86 | 98.9 | 88 | 94.6 | 15 | 5 | 0 | 0 |
| All Organisms | 546 | 542 | 99.3 | 537 | 533 | 99.3 | 523 | 95.8 | 27 | 23 | 0 | 0 |
*See legend for abbreviations under Table 4.
Table 4. Combined (Clinical and Challenge) Performance Summary of Enterobacteriaceae isolates – Read by VIZION
| Plazomicin | Total | EA N | %EA Total | Total Eval | EA Eval | %EA Eval | CA N | % CA | #R | min | maj | vmj |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Clinical | 453 | 451 | 99.6 | 450 | 448 | 99.6 | 437 | 96.5 | 12 | 16 | 0 | 0 |
| Challenge | 93 | 92 | 99.0 | 87 | 86 | 98.9 | 88 | 94.6 | 15 | 5 | 0 | 0 |
| All Organisms | 546 | 543 | 99.5 | 537 | 534 | 99.4 | 525 | 96.2 | 27 | 21 | 0 | 0 |
EA - Essential Agreement
CA - Category Agreement
R - resistant isolates
maj – major discrepancies
vmj - very major discrepancies
min – minor discrepancies
Evaluable results are those that are on-scale for both the reference panel and the Sensititre panel. Essential agreement (EA) occurs when there is agreement between the MIC result of the reference method and that of Sensititre panel within plus or minus one serial two-fold dilution of the antibiotic. Category agreement occurs when the interpretation of the result of the reference method agrees exactly with the interpretation of the Sensititre panel result.
As shown in Tables 3 and 4, the percent CA and EA values were above 90%, and were therefore, acceptable as described in the Class II Special Controls Guidance Document: Antimicrobial Susceptibility Test (AST) Systems; Guidance for Industry and FDA, August 2009. A comparative evaluation of performance data for the OptiRead and VIZION methods revealed no notable differences in EA or CA.
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MIC Trends:
Table 5. Summary of Evaluation of MIC Trends (Combined Clinical and Challenge Data)
| Plazomicin | Total | ≥2 dil. lower | 1 dil. lower | Exact | 1 dil. higher | ≥2 dil. higher |
| --- | --- | --- | --- | --- | --- | --- |
| | E. coli | | | | | |
| VIZIONa | 114 | 0 | 16 | 67 | 31 | 0 |
| | | (14.04%) | | (58.77%) | (27.19%) | |
| OptiReadb | 114 | 0 | 16 | 69 | 29 | 0 |
| | | (14.04%) | | (60.53%) | (25.44%) | |
| | K. pneumoniae | | | | | |
| VIZIONc | 107 | 0 | 10 | 75 | 22 | 0 |
| | | (9.35%) | | (70.09%) | (20.56%) | |
| OptiReadd | 107 | 0 | 11 | 78 | 18 | 0 |
| | | (10.28%) | | (72.90%) | (16.82%) | |
| | E. cloacae | | | | | |
| VIZIONe | 48 | 0 | 3 | 34 | 11 | 0 |
| | | (6.25%) | | (70.83%) | (22.92%) | |
| OptiReadf | 48 | 0 | 3 | 37 | 8 | 0 |
| | | (6.25%) | | (77.08%) | (16.67%) | |
| | P. mirabilis | | | | | |
| VIZIONg | 46 | 2 | 19 | 24 | 1 | 0 |
| | | (45.65%) | | (52.17%) | (2.17%) | |
| OptiReadh | 46 | 2 | 19 | 24 | 1 | 0 |
| | | (45.65%) | | (52.17%) | (2.17%) | |
| | P. vulgaris | | | | | |
| VIZIONi | 24 | 0 | 16 | 7 | 1 | 0 |
| | | (66.67%) | | (29.17%) | (4.17%) | |
| OptiReadj | 24 | 1 | 17 | 6 | 0 | 0 |
| | | (75.00%) | | (25.00%) | (0%) | |
| | K. oxytoca | | | | | |
| VIZIONk | 49 | 0 | 3 | 30 | 16 | 0 |
| | | (6.12%) | | (61.22%) | (32.65%) | |
| OptiReadl | 49 | 0 | 4 | 32 | 13 | 0 |
| | | (8.16%) | | (65.31%) | (26.53%) | |
| | E. aerogenes | | | | | |
| VIZIONm | 28 | 0 | 3 | 19 | 6 | 0 |
| | | (10.71%) | | (67.86%) | (21.43%) | |
| OptiReadn | 28 | 0 | 5 | 17 | 6 | 0 |
| | | (17.86%) | | (60.71%) | (21.43%) | |
| | C. koseri | | | | | |
| VIZIONo | 24 | 0 | 4 | 13 | 7 | 0 |
| | | (16.67%) | | (54.17%) | (29.17%) | |
| OptiReadp | 24 | 0 | 5 | 14 | 5 | 0 |
| | | (16.67%) | | (58.33%) | (20.83%) | |
| | C. freundii | | | | | |
| VIZIONq | 26 | 0 | 3 | 18 | 5 | 0 |
| | | (11.54%) | | (69.23%) | (19.23%) | |
| OptiReadr | 26 | 0 | 3 | 20 | 3 | 0 |
| | | (11.54%) | | (76.92%) | (11.54%) | |
| | M. morganii | | | | | |
| VIZIONs | 27 | 1 | 8 | 16 | 2 | 0 |
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| | | (33.33%) | | (59.26%) | (7.41%) | |
| --- | --- | --- | --- | --- | --- | --- |
| OptiRead^{a} | 27 | 1 | 10 | 14 | 2 | 0 |
| | | (37.04%) | | (51.85%) | (7.41%) | |
| | P. stuartii | | | | | |
| VIZION^{a} | 19 | 0 | 5 | 11 | 3 | 0 |
| | | (26.32%) | | (57.89%) | (15.79%) | |
| OptiRead^{a} | 19 | 0 | 5 | 12 | 2 | 0 |
| | | (26.32%) | | (63.16%) | (10.53%) | |
| | S. marcescens | | | | | |
| VIZION^{a} | 29 | 0 | 13 | 15 | 1 | 0 |
| | | (44.83%) | | (51.72%) | (3.45%) | |
| OptiRead^{a} | 29 | 0 | 14 | 14 | 1 | 0 |
| | | (48.28%) | | (48.28%) | (3.45%) | |
| | All Enterobacteriaceae | | | | | |
| VIZION^{a} | 541 | 3 | 103 | 329 | 106 | 0 |
| | | (19.59%) | | (60.81%) | (19.59%) | |
| OptiRead^{a} | 541 | 4 | 112 | 337 | 88 | 0 |
| | | (21.44%) | | (62.29%) | (16.27%) | |
aDifference between the higher and lower dilutions for VIZION/E. coli is: 13.16%; 95% C.I. (2.64% to 23.39%)
bDifference between the higher and lower dilutions for OptiRead/E. coli is: 11.40%; 95% C.I. (1.04% to 21.55%)
cDifference between the higher and lower dilutions for VIZION/K. pneumoniae is: 11.21%; 95% C.I. (1.61% to 20.79%)
dDifference between the higher and lower dilutions for OptiRead/K. pneumoniae is: 6.54%; 95% C.I. (-2.77% to 15.88%)
eDifference between the higher and lower dilutions for VIZION/E. cloacae is: 16.67%; 95% C.I. (2.37% to 30.89%)
fDifference between the higher and lower dilutions for OptiRead/E. cloacae is: 10.42%; 95% C.I. (-2.83% to 23.96%)
gDifference between the higher and lower dilutions for VIZION/P. mirabilis is: -43.48%; 95% C.I. (-57.76% to -27.16%)
hDifference between the higher and lower dilutions for VIZION/P. mirabilis is: -43.48%; 95% C.I. (-57.76% to -27.16%)
iDifference between the higher and lower dilutions for VIZION/P. vulgaris is: -62.50%; 95% C.I. (-78.24% to -36.87%)
jDifference between the higher and lower dilutions for OptiRead/P. vulgaris is: -75.00%; 95% C.I. (-88.00% to -50.78%)
kDifference between the higher and lower dilutions for VIZION/K. oxytoca is: -26.53%; 95% C.I. (11.07% to 41.07%)
lDifference between the higher and lower dilutions for OptiRead/K. oxytoca is: 18.37%; 95% C.I. (3.27% to 32.96%)
mDifference between the higher and lower dilutions for VIZION/E. aerogenes is: 10.71%; 95% C.I. (-9.22% to 30.13%)
nDifference between the higher and lower dilutions for OptiRead/E. aerogenes is: 3.57%; 95% C.I. (-17.41% to 24.25%)
oDifference between the higher and lower dilutions for VIZION/C. koseri is: 12.50%; 95% C.I. (-11.40% to 34.86%)
pDifference between the higher and lower dilutions for OptiRead/ C. koseri is: 4.17%; 95% C.I. (-18.25% to 26.20%)
qDifference between the higher and lower dilutions for VIZION/C. freundii is: 7.69%; 95% C.I. (-12.78% to 27.80%)
rDifference between the higher and lower dilutions for OptiRead/ C. freundii is: 0%; 95% C.I. (-19.00% to 19.00%)
sDifference between the higher and lower dilutions for VIZION/M. morganii is: -25.93%; 95% C.I. (-
10
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45.51% to -4.23%)
$^{1}$ Difference between the higher and lower dilutions for OptiRead/M. morganii is: -29.63%; 95% C.I. (-49.11% to -7.38%)
$^{2}$ Difference between the higher and lower dilutions for VIZION/P. stuartii is: -10.53%; 95% C.I. (-35.24% to 15.64%)
$^{3}$ Difference between the higher and lower dilutions for OptiRead/P. stuartii is: -15.79%; 95% C.I. (-39.51% to 9.63%)
$^{4}$ Difference between the higher and lower dilutions for VIZION/S. marcescens is: -41.38%; 95% C.I. (-59.23% to -19.98%)
$^{5}$ Difference between the higher and lower dilutions for OptiRead/S. marcescens is: -44.83%; 95% C.I. (-62.35% to -23.06%)
$^{6}$ Difference between the higher and lower dilutions for VIZION/All Enterobacteriaceae is: 0%; 95% C.I. (-4.73% to 4.73%)
$^{7}$ Difference between the higher and lower dilutions for OptiRead/All Enterobacteriaceae is: -5.18%; 95% C.I. (-9.82% to -0.51%)
The total number of isolates in Table 5 reflects Enterobacteriaceae isolates with on-scale MIC values and in which a determination could be made of higher or lower values compared to the reference method. As illustrated in Table 5, there was a difference in results trending below the reference method. The data for *P. mirabilis*, *P. vulgaris*, and *S. marcescens* isolates demonstrated a trend for one doubling dilution lower for results read by the VIZION and OptiRead compared to the reference method. As a result, the following footnote was included in the performance section of the package insert:
> *Plazomicin MIC values for P. mirabilis, P. vulgaris, and S. marcescens tended to be one doubling dilution lower with the OptiRead and when manually read by the VIZION as compared to the reference microdilution method.*
There were no trends noted for *P. aeruginosa*.
b. Matrix comparison:
N/A
3. Clinical studies:
a. Clinical Sensitivity:
N/A
b. Clinical specificity:
N/A
c. Other clinical supportive data (when a. and b. are not applicable):
N/A
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4. Clinical cut-off:
N/A
5. Expected values/Reference range:
The FDA susceptibility interpretive criteria for Plazomicin are as listed in Table 6.
Table 6. Interpretive Criteria for Plazomicin (μg/mL)
| | Susceptible (S) | Intermediate (I) | Resistant (R) |
| --- | --- | --- | --- |
| Enterobacteriaceae* | ≤2 | 4 | ≥8 |
*Only E. coli, K. pneumoniae, P. mirabilis, and E. cloacae demonstrated effectiveness in clinical trials.
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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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.