VITROS Chemistry Products GENT Reagent: For in vitro diagnostic use only. VITROS Chemistry Products GENT Reagent is used to quantitatively measure gentamicin (GENT) concentration in human serum and plasma. Serum or plasma gentamicin measurements are used in the diagnosis and treatment of gentamicin overdose and in monitoring levels of gentamicin to ensure appropriate therapy. VITROS Chemistry Products Calibrator Kit 13: For in vitro diagnostic use only. VITROS Chemistry Products Calibrator Kit 13 is used to calibrate VITROS 5.1 FS Chemistry Systems for the quantitative measurement of gentamicin (GENT). VITROS Chemistry Products TDM Performance Verifier I, II and III: For in vitro diagnostic use only. VITROS TDM Performance Verifier is an assayed control used to monitor performance of ACET, CRBM, DGXN, PHBR, PHYT and GENT on VITROS Chemistry Systems.
Device Story
VITROS Chemistry Products GENT assay uses liquid reagents, calibrators, and performance verifiers on the VITROS 5.1 FS Chemistry System. The system performs a two-step homogeneous enzyme immunoassay to quantitatively measure gentamicin concentration in human serum or plasma samples. The device is intended for use in clinical laboratory settings by trained personnel. Healthcare providers use the resulting gentamicin concentration measurements to assess potential overdose and to monitor therapeutic drug levels, ensuring appropriate patient therapy. The system provides automated quantitative results, facilitating clinical decision-making regarding dosage adjustments.
Clinical Evidence
Bench testing only. Performance was validated through correlation studies against the predicate device (r=0.993, slope 1.00, intercept -0.0138 µg/mL). Additional bench studies evaluated precision, linearity, and specificity.
Technological Characteristics
Homogeneous enzyme immunoassay. Reagents: murine monoclonal antibodies, G6PDH-labeled gentamicin. Calibrators: aqueous solution with gentamicin, BSA, salts. Controls: bovine serum-based. Energy source: spectrophotometric (340 nm). Platform: VITROS 5,1 FS Chemistry System. Connectivity: standalone system. Software: embedded firmware for instrument control and data processing.
Indications for Use
Indicated for the quantitative measurement of gentamicin in human serum and plasma to assist in the diagnosis and treatment of gentamicin overdose and to monitor therapeutic levels in patients.
Regulatory Classification
Identification
A gentamicin test system is a device intended to measure gentamicin, an antibiotic drug, in human specimens. Measurements obtained by this device are used in the diagnosis and treatment of gentamicin overdose and in monitoring levels of gentamicin to ensure appropriate therapy.
Predicate Devices
Syva® EMIT® 2000 Gentamicin Plus Assay and calibrators (k962519)
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# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY ASSAY ONLY TEMPLATE
A. 510(k) Number: k042479
B. Purpose for Submission: New assay and calibrators. Changes to calibrator verifiers.
C. Measurand: Gentamicin
D. Type of Test: Quantitative homogeneous enzyme immunoassay
E. Applicant: Ortho-Clinical Diagnostics Inc.
F. Proprietary and Established Names: VITROS Chemistry Products Gentamicin Reagent, Calibrator Kit 13, TDM Performance Verifier I, II and III.
G. Regulatory Information:
1. Regulation section: Gentamicin Test System (21CFR862.3450)
Assayed controls (21 CFR 862.3280)
Calibrators (21 CFR 862.3200)
2. Classification: Class II
3. Product code: 91LCD, 91DLJ, 91DIF
4. Panel: 91, Toxicology
H. Intended Use:
1. Intended use(s):
VITROS Chemistry Products GENT Reagent is used to quantitatively measure gentamicin (GENT) concentration in human serum and plasma.
VITROS Chemistry Products Calibrator Kit 13 is used to calibrate VITROS 5,1 FS Chemistry Systems for the quantitative measurement of gentamicin.
VITROS TDM Performance Verifier is an assayed control used to monitor performance of ACET, CRBM, DGXN, PHBR, PHYT, and GENT on VITROS Chemistry Systems.
2. Indication(s) for use:
For in vitro diagnostic use only. Serum or plasma gentamicin measurements are used in the diagnosis and treatment of gentamicin overdose and in monitoring levels of gentamicin to ensure appropriate therapy.
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3. Special conditions for use statement(s): For prescription use
4. Special instrument requirements: For use on the VITROS 5,1 FS
I. Device Description:
Reagent 1 contains murine monoclonal antibodies to gentamicin, glucose-6-phosphate, NAD and other unreactive components. Reagent 2 contains Gentamicin labeled with glucose-6-phosphate dehydrogenase and other unreactive components.
Calibrator Kit 13 is an aqueous solution containing gentamicin, buffer, BSA, salts, proteins, surfactants and preservatives. Nominal values of gentamicin (ug/mL): 0, 0.6, 2, 4, 6, 10.
The performance verifiers are assayed controls prepared from bovine serum to which therapeutic drugs, salts and preservatives are added. Range of means for controls are provided on performance verifier assay sheets.
J. Substantial Equivalence Information:
1. Predicate device name(s): Syva® EMIT® 2000 Gentamicin Plus Assay and calibrators. VITROS Chemistry Products Performance Verifiers.
2. Predicate 510(k) number(s): k962519, k953197
3. Comparison with predicate: The devices are similar in intended use and methodology. Both devices are homogeneous enzyme immunoassays. The predicate device is for use on Syva Analyzer Systems; the new device is for use on the VITROS 5,1 FS Chemistry System.
The VITROS Chemistry Products TDM Performance Verifiers are substantially equivalent to VITROS Chemistry Products TDM Performance Verifiers, currently in commercial distribution (K953197). The difference is the addition of gentamicin (and other therapeutic drugs, for other TDM assays).
K. Standard/Guidance Document Referenced (if applicable): None were referenced.
L. Test Principle:
Patient sample is added to reagent 1, which contains gentamicin antibody, glucose-6-phosphate and NAD, followed by reagent 2, which contains gentamicin conjugated with glucose-6-phosphate dehydrogenase. The activity of the gentamicin-enzyme conjugate, which competes with gentamicin in the sample, decreases upon binding with the antibody. Therefore, gentamicin in the sample is inversely related to enzyme activity and
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can be monitored spectrophotometrically at 340 nm. Unknown sample concentrations are determined using the (stored) calibration curve.
## M. Performance Characteristics (if/when applicable):
### 1. Analytical performance:
#### a. Precision/Reproducibility:
Within-day and within laboratory precision was determined using bovine serum-based QC materials, i.e. the VITROS Chemistry Products TDM Performance Verifiers, levels 1,2, and 3. The evaluation followed NCCLS EP-5A, with 2 replicates per run, two runs per day for 22 days, n=88 observations. Within-day runs were separated by at least 2 hours. Calibration was performed once each week. The sample order was randomized. Results for within-day and within-lab are shown. Testing of multiple lots and instruments yielded similar results.
| Sample | Mean (ug/mL) | N | Within-day SD | Within-lab |
| --- | --- | --- | --- | --- |
| Control level 1 | 1.38 | 88 | 0.027 | 0.073 |
| Control level 2 | 4.36 | 88 | 0.095 | 0.191 |
| Control level 3 | 7.86 | 88 | 0.146 | 0.363 |
Within-run precision was also estimated for patient serum pools at concentrations near the low end of the reportable range. Precision estimates were based on standard deviations, calculated for 5 replicates, for each of 3 reagent lots, at each gentamicin levels (i.e. total of 15 observations at each level). The within-run standard deviation limits are approximately 0.11 ug/mL for gentamicin concentrations ranging from 0.3-1.2 ug/mL gentamicin.
#### b. Linearity/assay reportable range:
Serum pools with gentamicin concentrations at 10 levels spanning the reportable range were evaluated. Each level was tested in replicates of 5 and average values of observed/expected concentrations were determined. The assay reportable range is 0.6-10 ug/mL. In this range deviations from linearity ranged from -0.39 to +0.31 ug/mL, for the samples tested.
Recovery after sample dilution with the recommended diluent was also evaluated. Serum samples with gentamicin concentrations in the range of approximately 7-10 ug/mL were diluted 2x and 4x. Average recoveries (from triplicates) ranged from 105-111%.
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c. Traceability, Stability, Expected values (controls, calibrators, or methods): VITROS Chemistry Products Calibrator Kit 13, and performance verifiers I, II and III are for use with this device.
Values assigned to calibrators are traceable to the USP gentamicin reference standard. Expanded uncertainties (defined as 2x the total uncertainty in the calibrator assigned value) are calculated as 0.11 for 0.6 ug/mL and 0.48 for 10 ug/mL.
Calibrator long-term stability: Calibrators tested were stored at 9 degrees C and evaluated using the EMIT® Assay with calibrators stored at -20 degrees C. Results support calibrator expiration dating. Bias limits for long term stability are shown:
| Value (ug/mL) | Bias limits (+/-) |
| --- | --- |
| 0 | <0.3 ug/ml |
| 0.6 | 34.8 % |
| 2 | 11.6% |
| 4 | 7.0% |
| 6 | 6.9% |
| 10 | 7.5% |
Calibrator opened-bottle stability: Opened bottle stability is evaluated by at intervals and restored at 2-8 degrees C. Bias is determined relative to previously unopened calibrators. Acceptance limits range from approximately +/-3% for higher concentrations and +/- 11% for low concentrations.
Value assignment for calibrator verifiers: Performance verifier lots are tested with each reagent to establish target values. Testing is conducted with at least 2 instruments, 2 calibrations and a total of 32 replicates for each performance verifier. The range of means is calculated from precision data from multiple systems placed within different laboratories. A pooled SD is determined based on total SD's from each site and the range is calculated based on 3x pooled SD.
Verifier stability: Long-term stability for controls is evaluated using vials stored at -18 degrees C until testing. Analyte concentrations are compared to those at "time 0". Opened stability is evaluated using vials opened and stored at 2-8 degrees C between test dates. Acceptance criteria in terms of bias limits are shown below:
| Control Level | Gentamicin Concentration (ug/mL) | Bias Limit (ug/mL) (+/-) | |
| --- | --- | --- | --- |
| | | Long-term | Opened |
| I | 1 | 0.258 | 0.171 |
| II | 4 | 0.684 | 0.435 |
| III | 7 | 1.209 | 0.775 |
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d. Detection limit:
The lower limit of the reportable range listed in the package insert is 0.6 ug/mL. Data in the 510(k) support this value.
The limit of detection was determined based on gentamicin-negative serum samples from 10 human donors not taking gentamicin, as well as from low level calibrator material. Three lots and 2 calibrator kits were used in testing. The sampling plan is similar to EP-17A, but based on blank samples only. Calculations of the detection limit incorporate error contributed by calibration.
The acceptance criteria for within-run precision (total n=15, over 3 lots) is SD +/-0.108 ug/ml for concentrations < 1 ug/mL.
The limit for deviation from linearity at samples near the low end of the reportable range is 0.325 ug/mL.
e. Analytical specificity:
Two human serum pools with gentamicin concentrations approximately 3 and 9 ug/mL were spiked with bilirubin (60 mg/dL), hemoglobin (1000 mg/dL) and intralipid (500 mg/dL). A serum pool with 5 ug/mL gentamicin was spiked with other drugs to evaluate interference: amikacin, 500 ug/mL; carbenicillin, 500 ug/mL; cefalotoxin, 2500 ug/mL; cephalothin, 500 ug/mL; chloramphenicol, 500 ug/mL; clindamycin, 500 ug/mL; erythromycin, 500 ug/mL; penicillin G, 500 ug/mL; sulfamethoxazole, 600 ug/mL; tetracycline, 200 ug/mL; tobramycin, 50 ug/mL. Testing followed EP-7A for the paired-difference method.
The endogenous substances and the drugs listed above were found not to interfere within acceptance criteria for bias (< 0.4 for 3 ug/mL, <1.2 for 10 ug/mL, and < 0.52 for 5 ug/mL).
Cross-reactivities of approximately 6% and 7% were observed for netilimicin and sisomicin. Trimethoprim at a concentration of 25 ug/mL resulted in a positive bias of 0.57 ug/mL.
f. Assay cut-off:
NA. This is a quantitative assay.
2. Comparison studies:
a. Method comparison with predicate device:
One hundred and eight human serum samples were evaluated with the VITROS Chemistry Products Gentamicin Reagent and the Syva EMIT® Gentamicin Plus. Samples were selected to be patient serum samples of 2 mL or more that contained gentamicin across the reportable range of
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the assay. Each sample was measured in triplicate. The analysis was also performed using singlicates, and showed no difference to the results listed below. Similar results were obtained for 3 lots tested. Results of regression analysis is shown: Slope = 1.00, intercept = 0.0, r = 0.99, sy/x = 0.31.
b. Matrix comparison:
Serum and plasma (EDTA and lithium heparin) samples were evaluated by paired difference testing of samples ranging from approximately 1-9 ug/mL. The bias between the mean values (n=3) was defined as: bias = test sample-serum sample.
Biases observed ranged from approximately -5% to 4% for lithium heparin plasma tubes and -4 to 6% for full EDTA plasma tubes. Results support use of the assay with serum and plasma (EDTA and lithium heparin) samples. The device is not for use with other anticoagulants.
3. Clinical studies:
a. Clinical Sensitivity:
N/A. (Not typically reviewed for this type of test)
b. Clinical specificity:
N/A. (Not typically reviewed for this type of test)
c. Other clinical supportive data (when a. and b. are not applicable):
4. Clinical cut-off:
N/A. See expected values
5. Expected values/Reference range:
Reference ranges from the literature¹ are provided in the labeling.
N. Proposed Labeling:
The labeling is sufficient and it satisfies the requirements of 21 CFR Part 809.10.
¹ National Academy of Clinical Biochemistry Symposium. Laboratory guidelines for monitoring of antimicrobial drugs. Catherine A. Hammett-Stabler and Thomas Johns. Clinical Chemistry 44:5 1129-1140 (1998).
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O. Conclusion:
The submitted information in this premarket notification is complete and supports a substantial equivalence decision.
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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.