K101160 · Roche Diagnostics · DIO · Feb 11, 2011 · Clinical Toxicology
Device Facts
Record ID
K101160
Device Name
ROCHE ORAL FLUID COCAINE
Applicant
Roche Diagnostics
Product Code
DIO · Clinical Toxicology
Decision Date
Feb 11, 2011
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 862.3250
Device Class
Class 2
Indications for Use
DAT Oral Fluid Cocaine (OFCOC) is an in vitro diagnostic test for the qualitative and semiquantitative detection of cocaine metabolite in human oral fluid when calibrated with benzoylecgonine on automated clinical chemistry analyzers at a cutoff concentration of 9 ng/mL in neat oral fluid. Samples must be exclusively collected with the Intercept Oral Specimen Collection Device. Semiquantitative test results may be obtained that permit laboratories to assess assay performance as part of a quality control program and to estimate a dilution of the specimen for confirmation by a confirmatory method such as LC/MS/MS. DAT Oral Fluid Cocaine provides only a preliminary analytical test result. A more specific alternate chemical method must be used in order to obtain a confirmed analytical result. Chromatography/mass spectrometry is the preferred confirmatory method. Clinical consideration and professional judgment should be applied to any drug of abuse test result, particularly when preliminary positive results are used.
Device Story
Device is an in vitro diagnostic immunoassay for cocaine metabolite detection in human oral fluid; uses Intercept Oral Specimen Collection Device for sample collection. Operates on Roche/Hitachi Modular P analyzer using Kinetic Interaction of Microparticles in a Solution (KIMS) technology. Input: oral fluid sample collected via Intercept device (diluted 1/3). Principle: drug in sample competes with drug derivative conjugate for antibody-bound microparticles; particle aggregation inhibited by sample drug; absorbance changes inversely with drug concentration. Output: qualitative or semi-quantitative result relative to 9 ng/mL neat oral fluid cutoff. Used in clinical laboratories by technicians; results used by clinicians as preliminary screening; requires confirmation by LC/MS/MS. Benefits: rapid screening for drug of abuse; aids clinical decision-making.
Clinical Evidence
No clinical studies performed. Evidence consists of analytical bench testing. Precision evaluated per CLSI EP5-A2 (n=84). Method comparison performed against LC/MS/MS using spiked and clinical samples; demonstrated high agreement with reference method. Interference testing conducted for endogenous substances, food, and dental products; no interference observed after 10-minute wait period.
Technological Characteristics
Reagents: R1 (conjugated benzoylecgonine derivative, BSA, 0.09% sodium azide); R2 (microparticles with mouse monoclonal benzoylecgonine antibody, BSA, 0.09% sodium azide). Technology: KIMS (Kinetic Interaction of Microparticles in a Solution). Platform: Roche/Hitachi Modular P analyzer. Calibration: 6-point curve (Zero, 0.5X, Cutoff, 2X, 4X, 8X).
Indications for Use
Indicated for the qualitative and semiquantitative detection of cocaine metabolite in human oral fluid for prescription use. Not for point-of-care settings.
Regulatory Classification
Identification
A cocaine and cocaine metabolite test system is a device intended to measure cocaine and a cocaine metabolite (benzoylecgonine) in serum, plasma, and urine. Measurements obtained by this device are used in the diagnosis and treatment of cocaine use or overdose.
Special Controls
*Classification.* Class II (special controls). A cocaine and cocaine metabolite test system is not exempt if it is intended for any use other than employment or insurance testing or is intended for Federal drug testing programs. The device is exempt from the premarket notification procedures in subpart E of part 807 of this chapter subject to the limitations in § 862.9, provided the test system is intended for employment and insurance testing and includes a statement in the labeling that the device is intended solely for use in employment and insurance testing, and does not include devices intended for Federal drug testing programs (*e.g.,* programs run by the Substance Abuse and Mental Health Services Administration (SAMHSA), the Department of Transportation (DOT), and the U.S. military).
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# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY ASSAY ONLY TEMPLATE
A. 510(k) Number:
K101160
B. Purpose for Submission:
New device
C. Measurand:
Benzoylecgonine
D. Type of Test:
Qualitative and semi-quantitative immunoassay
E. Applicant:
Roche Diagnostics
F. Proprietary and Established Names:
Roche Oral Fluid Cocaine
G. Regulatory Information:
1. Regulation section:
21 CFR § 862.3250, Cocaine and Cocaine Metabolite Test System
2. Classification:
Class II
3. Product code:
DIO, enzyme immunoassay, cocaine and cocaine metabolites
4. Panel:
91 (Toxicology)
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H. Intended Use:
1. Intended use(s):
See indications for use below.
2. Indication(s) for use:
DAT Oral Fluid Cocaine (OFCOC) is an in vitro diagnostic test for the qualitative and semiquantitative detection of cocaine metabolite in human oral fluid when calibrated with benzoylecgonine on automated clinical chemistry analyzers at a cutoff concentration of 9 ng/mL in neat oral fluid. Samples must be exclusively collected with the Intercept Oral Specimen Collection Device. Semiquantitative test results may be obtained that permit laboratories to assess assay performance as part of a quality control program and to estimate a dilution of the specimen for confirmation by a confirmatory method such as LC/MS/MS.
DAT Oral Fluid Cocaine provides only a preliminary analytical test result. A more specific alternate chemical method must be used in order to obtain a confirmed analytical result. Chromatography/mass spectrometry is the preferred confirmatory method. Clinical consideration and professional judgment should be applied to any drug of abuse test result, particularly when preliminary positive results are used.
3. Special conditions for use statement(s):
For prescription use
The assay is not designated for use in point-of-care settings.
4. Special instrument requirements:
Roche/Hitachi Modular P analyzer
I. Device Description:
The Oral Fluid Cocaine assay consists of two ready for use reagent solutions.
Reagent 1 (R1) contains Conjugated benzoylecgonine derivative in buffer with bovine serum albumin (BSA) and 0.09 % sodium azide
Reagent 2 (R2) Microparticles attached to benzoylecgonine antibody (mouse monoclonal) in buffer with bovine serum albumin (BSA) and 0.09 % sodium azide
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J. Substantial Equivalence Information:
1. Predicate device name(s):
Cocaine Metabolite Intercept® MICRO-PLATE EIA
2. Predicate 510(k) number(s):
K001197
3. Comparison with predicate:
| Similarities | | |
| --- | --- | --- |
| Item | Device | Predicate |
| Indications for Use | Same | For use in the detection of cocaine metabolite in human oral fluid collected with the Intercept Oral Specimen Collection Device. |
| Methodology | Same | Immunoassay |
| Differences | | |
| --- | --- | --- |
| Item | Device | Predicate |
| Cutoff | 9 ng/mL in neat oral fluid | 5 ng/mL when oral fluid collected with the Oral Specimen Collection Device |
| Platform | Roche Modular P analyzer | Microplate |
| Control concentrations | Synthetic oral fluid matrix: Zero, Negative (.5X), and Positive (1.5X) | Negative (.5X) and Positive (2X) |
| Calibrator concentrations | Zero, .5X, Cutoff, 2X, 4X, and 8X | Zero, Cutoff |
| Measurement mode | Qualitative and semi-quantitative measurements | Qualitative measurements only |
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K. Standard/Guidance Document Referenced (if applicable):
The sponsor referenced the following standard in their submission:
- CLSI EP5-A2 Evaluation of Precision Performance of Clinical Chemistry Devices; Approved Guideline - 2nd edition
The sponsor referenced the following guidance document in their submission:
- Premarket Submission and Labeling Recommendations for Drugs of Abuse Screening Tests - Draft Guidance for Industry and FDA Staff
L. Test Principle:
The DAT oral fluids assays are based on the kinetic interaction of microparticles in a solution (KIMS) technology. The DAT oral fluids assays are qualitative and semi-quantitative. In the absence of sample drug, soluble drug conjugates bind to antibody-bound microparticles, causing formation of particle aggregates. As the aggregation reaction proceeds in the absence of sample drug, the absorbance increases. When an oral fluid sample contains the drug in question, this drug competes with the drug derivative conjugate for microparticle-bound antibody. Antibody bound to sample drug is no longer available to promote particle aggregation, and subsequent particle lattice formation is inhibited. The presence of sample drug diminishes the increasing absorbance in proportion to the concentration of drug in the sample. Sample drug content is determined relative to the value obtained for a known cutoff concentration of drug.
The Intercept® Oral Specimen Collection Device contains a preservative buffer that dilutes the neat oral fluid sample. The calibrator and control levels are set at diluted levels so that sample absorbance values can be compared directly to the absorbance values of the calibration curve. The assay result is reported as a positive or negative result relative to the neat oral fluid cutoff of 9 ng/mL.
NOTE: To correlate a semi-quantitative result from the assay or the associated LC/MS/MS confirmation result to a neat oral fluid value, the result from the assay or the associated LC/MS/MS confirmation test should be multiplied by a factor of 3.
M. Performance Characteristics (if/when applicable):
1. Analytical performance:
All analytical performance data was collected on human oral fluid samples collected with the Intercept Oral Specimen Collection Device and analyzed on the Roche MODULAR P analyzer. The Intercept collection device includes a diluent that results in a dilution of approximately 1/3. The assay cannot be used to
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measure undiluted (neat) samples. Analyte concentrations refer to the neat oral fluid concentration, unless otherwise noted.
a. Precision/Reproducibility:
Two studies were performed with the assay to evaluate precision.
In the first study, a benzoylecognine solution was added to each of 9 samples which were obtained from a human oral fluid pool of samples collected with the Intercept® Oral Specimen Collection Device. The resulting concentrations were approximately -100%, -75%, -50%, -25%, 0%, +25%, +50%, +75%, and +100% of the cutoff calibrator value. The samples were tested in qualitative and semiquantitative modes. Following a CLSI (EP5-A2) precision protocol, samples were tested in 2 replicates per run, 2 runs per day for 21 days, total n = 84. One lot each of reagent, calibrator, and control were used and there were ten calibrations performed during the study.
Qualitative Mode
Note: this study was performed on samples already collected with the Intercept collection device. Therefore the data in the table below do not reflect any imprecision inherent in the collection process itself. Results were as follows:
| Drug | Concentration of Sample, ng/mL | Number of Determinations | Results #Neg / #Pos |
| --- | --- | --- | --- |
| COC | zero drug | 84 | 84 Neg / 0 Pos |
| COC | -75% | 84 | 84 Neg / 0 Pos |
| COC | -50% | 84 | 84 Neg / 0 Pos |
| COC | -25% | 84 | 84 Neg / 0 Pos |
| COC | cutoff | 84 | 58 Neg / 26 Pos |
| COC | +25% | 84 | 0 Neg / 84 Pos |
| COC | +50% | 84 | 0 Neg / 84 Pos |
| COC | +75% | 84 | 0 Neg / 84 Pos |
| COC | +100% | 84 | 0 Neg / 84 Pos |
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# Semiquantitative Mode
Note: this study was performed on samples already collected with the Intercept collection device. Therefore the data in the table below do not reflect any imprecision inherent in the collection process itself. Results were as follows:
| Drug | Conc. of Sample, ng/mL | Results #Neg / #Pos | Within-run Precision | | Total Precision | |
| --- | --- | --- | --- | --- | --- | --- |
| | | | SD ng/mL | CV % | SD ng/mL | CV % |
| COC | zero drug | 84 Neg / 0 Pos | 0.10 | N/A | 0.12 | N/A |
| COC | -75% | 84 Neg / 0 Pos | 0.14 | 16.2 | 0.17 | 19.1 |
| COC | -50% | 84 Neg / 0 Pos | 0.17 | 11.8 | 0.18 | 12.7 |
| COC | -25% | 84 Neg / 0 Pos | 0.19 | 9.3 | 0.21 | 10.8 |
| COC | cutoff | 49 Neg / 35Pos | 0.17 | 5.9 | 0.20 | 6.8 |
| COC | +25% | 0 Neg / 84 Pos | 0.19 | 5.1 | 0.22 | 5.8 |
| COC | +50% | 0 Neg / 84 Pos | 0.16 | 3.5 | 0.20 | 4.4 |
| COC | +75% | 0 Neg / 84 Pos | 0.16 | 3.2 | 0.23 | 4.6 |
| COC | +100% | 0 Neg / 84 Pos | 0.17 | 3.0 | 0.23 | 4.1 |
In the second study, a benzoylecognine solution was added to neat human oral fluid sample pools at concentrations of 4.5, 6.75, 11.25, and 13.5 ng/mL. Each sample was then processed through each of 21 of the Intercept® Oral Specimen Collection Devices to achieve final concentrations at approximately -50%, -25%, +25%, and +50%, of the cutoff calibrator value. The intra-assay precision of the samples, including the processing of the samples through the collection device, was then tested in qualitative and
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semiquantitative modes with the Oral Fluid Cocaine assay.
## Qualitative Mode
Note: The values obtained in this study were collected from samples spiked with Cocaine prior to the collection step. Therefore the data in the table below reflects the performance of the entire system including the collection step.
| Drug | Concentration of Sample | Number of Determinations | Results #Neg / #Pos |
| --- | --- | --- | --- |
| COC | -50% | 21 | 21 Neg / 0 Pos |
| COC | -25% | 21 | 21 Neg / 0 Pos |
| COC | +25% | 21 | 0 Neg / 21 Pos |
| COC | +50% | 21 | 0 Neg / 21 Pos |
## Semiquantitative Mode
Note: The values obtained in this study were collected from samples spiked with Cocaine prior to the collection step. Therefore the data in the table below reflects the performance of the entire system including the collection step.
| Drug | Conc. of Sample | Results #Neg / #Pos | Precision | |
| --- | --- | --- | --- | --- |
| | | | SD ng/mL | CV % |
| COC | -50% | 21 Neg / 0 Pos | 0.21 | 14.4 |
| COC | -25% | 21 Neg / 0 Pos | 0.18 | 7.9 |
| COC | +25% | 0 Neg / 21 Pos | 0.26 | 6.6 |
| COC | +50% | 0 Neg / 21 Pos | 0.29 | 6.0 |
## b. Linearity/assay reportable range:
Linearity studies were performed by spiking benzoylecgonine to a concentration above the highest calibrator (24 ng/mL) into a negative pool of human oral fluid collected with the Intercept® Oral Fluid Specimen Collection Device. The samples were then diluted serially with the negative pool and tested with the assay (n=3). Linearity was evaluated by comparing the measured value to the theoretical value generated from the serial dilutions. The results are summarized below.
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| Low end linearity | |
| --- | --- |
| theoretical neat value (ng/mL) | recovery % |
| 0 | 0 |
| 1.24 | 139.2 |
| 2.4 | 98.2 |
| 3.63 | 110.2 |
| 4.83 | 101.3 |
| 6.01 | 98.5 |
| 7.23 | 104 |
| 8.43 | 91.3 |
| 9.66 | 97 |
| 10.86 | 100 |
| 12.06 | 105.9 |
| High end linearity | |
| --- | --- |
| theoretical neat value (ng/mL) | recovery % |
| 0 | 0 |
| 9.15 | 104.6 |
| 18.3 | 100.9 |
| 27.45 | 101.3 |
| 36.6 | 98.9 |
| 45.78 | 100.4 |
| 54.9 | 99.6 |
| 64.08 | 98.7 |
| 73.23 | 98.9 |
| 82.38 | 99.2 |
| 91.53 | 96.4 |
c. Traceability, Stability, Expected values (controls, calibrators, or methods):
Calibrators and Controls were cleared in k093867
d. Detection limit:
Performance at low drug concentrations in the semi-quantitative assay was characterized by determination of recovery (see section b above).
e. Analytical specificity:
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Cross-reactivity to structurally related compounds is determined by spiking related compounds into a negative pool of human oral fluid collected with the Intercept® Oral Fluid Specimen Collection Device. By analyzing various concentration of each compound the sponsor determined the concentration of the drug that produced a response approximately equivalent to the cutoff concentration of the assay. Results of those studies appear in the table below:
| COMPOUND | Approximate Cross Reactivity |
| --- | --- |
| Cocaethylene | 0.15% |
| Cocaine | 0.70% |
| Ecgonine | 0.09% |
| Ecgonine methyl ester | 0.00% |
| Norcocaine | 0.01% |
Potential interference from structurally unrelated compounds were tested in both semi-quantitative and qualitative mode by spiking the potentially interfering compound into pools of human oral fluid collected with the Intercept® Oral Fluid Specimen Collection Device that contain both a low positive concentration $(+50\%$ of the cutoff) and a high negative concentration $(-50\%$ of the cutoff) of benzoylecgonine. The interfering compounds were tested initially at a concentration of $10,000~\mathrm{ng / mL}$ . If cross-overs of the cutoff occurred at this $10,000~\mathrm{ng / mL}$ , the concentration of the cross-reactant was reduced to determine the drug level at which the compounds does not cause cross-overs of the cutoff.
| | | | Semi-Quantitative | | Qualitative | |
| --- | --- | --- | --- | --- | --- | --- |
| Generic Name | Tested Concentration (ng/mL) | Approximate Neat Concentration (ng/mL) | Low Control | High Control | Low Control | High Control |
| 4-Aminophenyl sulfone | 10,000 | 30,000 | NEG | POS | NEG | POS |
| Acetaminophen | 10,000 | 30,000 | NEG | POS | NEG | POS |
| Acetylsalicylic acid | 10,000 | 30,000 | NEG | POS | NEG | POS |
| Alprazolam | 10,000 | 30,000 | NEG | POS | NEG | POS |
| Amitryptiline | 10,000 | 30,000 | NEG | POS | NEG | POS |
| Amobarbital | 10,000 | 30,000 | NEG | POS | NEG | POS |
| d-Amphetamine | 10,000 | 30,000 | NEG | POS | NEG | POS |
| l-Amphetamine | 10,000 | 30,000 | NEG | POS | NEG | POS |
| Ampicillin | 10,000 | 30,000 | NEG | POS | NEG | POS |
| Aspartame | 10,000 | 30,000 | NEG | POS | NEG | POS |
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| Atropine | 10,000 | 30,000 | NEG | POS | NEG | POS |
| --- | --- | --- | --- | --- | --- | --- |
| Benzococaine | 10,000 | 30,000 | NEG | POS | NEG | POS |
| Buprenorphine | 10,000 | 30,000 | NEG | POS | NEG | POS |
| Butabarbital | 10,000 | 30,000 | NEG | POS | NEG | POS |
| Caffeine | 10,000 | 30,000 | NEG | POS | NEG | POS |
| Chlordiazepoxide | 10,000 | 30,000 | NEG | POS | NEG | POS |
| Cotinine | 10,000 | 30,000 | NEG | POS | NEG | POS |
| Cyclizine | 10,000 | 30,000 | NEG | POS | NEG | POS |
| Desipramine | 10,000 | 30,000 | NEG | POS | NEG | POS |
| Dextromethorphan | 10,000 | 30,000 | NEG | POS | NEG | POS |
| Diazepam | 10,000 | 30,000 | NEG | POS | NEG | POS |
| Diphenhydramine | 10,000 | 30,000 | NEG | POS | NEG | POS |
| Doxepin | 10,000 | 30,000 | NEG | POS | NEG | POS |
| d-ephedrine | 10,000 | 30,000 | NEG | POS | NEG | POS |
| l-ephedrine | 10,000 | 30,000 | NEG | POS | NEG | POS |
| d,l-ephedrine | 10,000 | 30,000 | NEG | POS | NEG | POS |
| Fenoprofen | 10,000 | 30,000 | NEG | POS | NEG | POS |
| Fluoxetine | 10,000 | 30,000 | NEG | POS | NEG | POS |
| Gentisic acid | 10,000 | 30,000 | NEG | POS | NEG | POS |
| Glipizide | 10,000 | 30,000 | NEG | POS | NEG | POS |
| Ibuprofen | 10,000 | 30,000 | NEG | POS | NEG | POS |
| Imipramine | 10,000 | 30,000 | NEG | POS | NEG | POS |
| Ketamine | 10,000 | 30,000 | NEG | POS | NEG | POS |
| Loperamide | 10,000 | 30,000 | NEG | POS | NEG | POS |
| LSD | 10,000 | 30,000 | NEG | POS | NEG | POS |
| MDMA | 10,000 | 30,000 | NEG | POS | NEG | POS |
| Meperidine | 10,000 | 30,000 | NEG | POS | NEG | POS |
| Methadone | 10,000 | 30,000 | NEG | POS | NEG | POS |
| d-methamphetamine | 10,000 | 30,000 | NEG | POS | NEG | POS |
| l-methamphetamine | 10,000 | 30,000 | NEG | POS | NEG | POS |
| Methaqualone | 10,000 | 30,000 | NEG | POS | NEG | POS |
| Morphine | 10,000 | 30,000 | NEG | POS | NEG | POS |
| Naloxone | 10,000 | 30,000 | NEG | POS | NEG | POS |
| Naltrexone | 10,000 | 30,000 | NEG | POS | NEG | POS |
| Naproxen | 10,000 | 30,000 | NEG | POS | NEG | POS |
| Niacinamide | 10,000 | 30,000 | NEG | POS | NEG | POS |
| Nicotine | 10,000 | 30,000 | NEG | POS | NEG | POS |
| Nordiazepam | 10,000 | 30,000 | NEG | POS | NEG | POS |
| Oxazepam | 10,000 | 30,000 | NEG | POS | NEG | POS |
| Oxycodone | 10,000 | 30,000 | NEG | POS | NEG | POS |
| Pantoprazole | 10,000 | 30,000 | NEG | POS | NEG | POS |
| Penicillin G | 10,000 | 30,000 | NEG | POS | NEG | POS |
| Pentazocine | 10,000 | 30,000 | NEG | POS | NEG | POS |
| Pentobarbital | 10,000 | 30,000 | NEG | POS | NEG | POS |
| Phencyclidine | 10,000 | 30,000 | NEG | POS | NEG | POS |
| Phenobarbital | 10,000 | 30,000 | NEG | POS | NEG | POS |
| Phenylephrine | 10,000 | 30,000 | NEG | POS | NEG | POS |
| Phenylpropanolamine | 10,000 | 30,000 | NEG | POS | NEG | POS |
| Procainamide | 10,000 | 30,000 | NEG | POS | NEG | POS |
| Procaine | 10,000 | 30,000 | NEG | POS | NEG | POS |
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Potential interference from substances endogenous to oral fluid were tested in both semi-quantitative and qualitative mode by spiking the potentially interfering substance into pools of human oral fluid collected with the Intercept® Oral Fluid Specimen Collection Device that contain both a low positive concentration (+50% of the cutoff) and a high negative concentration (-50% of the cutoff) of benzoylecgonine. The interfering substances were tested at a concentrations equivalent to either ≥ the highest concentration observed in diseased populations or, in cases where such data is unavailable, at ≥10-times the mean concentration reported in healthy subjects. The results are summarized below.
| | | | Semi-quantitative | | Qualitative | |
| --- | --- | --- | --- | --- | --- | --- |
| Compound | Tested Cmpd. Conc. | Approx. Equiv. Neat saliva Conc. | Neg Level | Pos Level | Neg Level | Pos Level |
| Albumin | 5 mg/mL | 15 mg/mL | NEG | POS | NEG | POS |
| Salivary α-Amylase | 833 U/mL | 2500 U/mL | NEG | POS | NEG | POS |
| Ascorbic Acid | 10 mg/mL | 30 mg/mL | NEG | POS | NEG | POS |
| Bilirubin | 50 μg/mL | 150 μg/mL | NEG | POS | NEG | POS |
| Hemoglobin | 1 mg/mL | 3 mg/mL | NEG | POS | NEG | POS |
| IgA | 0.33 mg/mL | 1 mg/mL | NEG | POS | NEG | POS |
| IgG | 0.17 mg/mL | 0.5 mg/mL | NEG | POS | NEG | POS |
| IgM | 0.033 mg/mL | 0.1 mg/mL | NEG | POS | NEG | POS |
Potential interference from food and dental products were tested in both semi-quantitative and qualitative mode by spiking the potentially interfering substance into pools of human oral fluid collected with the Intercept® Oral Fluid Specimen Collection Device that contained both a low positive concentration (+50% of the cutoff) and a high negative concentration (-50% of the cutoff) of benzoylecgonine. The following products were tested by spiking into samples:
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Alcohol (ethanol), Antiseptic Mouthwash, Baking soda, Whole blood, Cola, Cough Syrup, Cranberry juice, Hemoglobin, Hydrogen peroxide, Sodium chloride, Sugar, Toothpaste, Water
Additionally, the following substances were evaluated by volunteers:
Antacid, Chewing tobacco, Cigarettes, Hard candy, Milk, Orange juice, Tooth whitening strips
These substances were utilized by each of 10 volunteers. The Intercept® package insert recommends: "Wait at least 10 minutes after ingesting any food, drink, or drugs before collecting a sample" in the Directions for Use.
The volunteer-tested substances were evaluated by consuming/using the listed substance. Samples were collected after 2, 6, and 10-minute wait periods. The oral fluid samples were then spiked with benzoylecgonine at both a low positive concentration (+50% of the cutoff) and a high negative concentration (-50% of the cutoff). Samples were tested in triplicate, and the median value is reported.
| | Semi-quantitative | | Qualitative | |
| --- | --- | --- | --- | --- |
| Compound | Neg Level | Pos Level | Neg Level | Pos Level |
| Alcohol (ethanol) | NEG | POS | NEG | POS |
| Antiseptic mouth wash | NEG | POS | NEG | POS |
| Baking soda | NEG | POS | NEG | POS |
| Whole blood | NEG | POS | NEG | POS |
| Cola | NEG | POS | NEG | POS |
| Cough Syrup | NEG | POS | NEG | POS |
| Cranberry juice | NEG | POS | NEG | POS |
| Hemoglobin | NEG | POS | NEG | POS |
| Hydrogen peroxide | NEG | POS | NEG | POS |
| Sodium chloride | NEG | POS | NEG | POS |
| Sugar | NEG | POS | NEG | POS |
| Toothpaste | NEG | POS | NEG | POS |
| Water | NEG | POS | NEG | POS |
All of the volunteer tested interferents evaluated showed no interference after 10 minutes, which is the waiting time indicated in the instructions for use. The sponsor defined no interference as the negative control sample recovering less than the cutoff and the positive sample control recovering greater than the cutoff. Tums, teeth whitening strips, and orange juice each caused negative controls to recover above the cutoff in some of the volunteers after 2 minutes and 6 minutes. These samples had correct recoveries below the cutoff after 10 minutes.
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Potential interference from pH was tested in both semi-quantitative and qualitative mode by spiking the potentially interfering substance into pools of human oral fluid collected with the Intercept® Oral Fluid Specimen Collection Device that contain both a low positive concentration (+50% of the cutoff) and a high negative concentration (-50% of the cutoff) of benzoylecgonine. The pH of the samples were adjusted to various pH levels ranging from 2.0-8.5. The normal range of saliva pH is 5.6-7.8. All of the 0.5 x cutoff samples read negative and all of the 1.5 x cutoff samples read positive with samples of pH 2 and 8.5.
f. Assay cut-off:
Characterization of how the device performs analytically around the claimed cutoff concentration appears in the precision above.
2. Comparison studies:
a. Method comparison with predicate device:
Two method comparison studies were performed. In the first study, unaltered neat oral fluid samples containing cocaine were collected by expectoration and analyzed by LC/MS/MS. The samples were then processed through the Intercept® Oral Specimen Collection Device and were subsequently evaluated with both LC/MS/MS and with the OFCOC assay. Unaltered near cutoff samples were included in the sample set. Results were obtained from LC/MS/MS of the neat oral fluid sample, from LC/MS/MS of the diluted Intercept® sample, and from the OFCOC assay with the diluted Intercept® sample. The following results were obtained with the OFCOC assay on the Roche/Hitachi MODULAR P analyzer relative to the LC/MS/MS values.
Note: The values obtained in this study were collected from samples spiked with COC prior to the collection step. Therefore the results reflect the performance of the entire system including the collection step.
| Qualitative, 9 ng/mL neat LC/MS/MS cutoff | | | | |
| --- | --- | --- | --- | --- |
| Low Neg by LC/MS/MS (less than -50%) | Near Cutoff Negative by LC/MS/MS (Between -50% and cutoff) | Near Cutoff Positive by LC/MS/MS (Between cutoff and +50%) | High Positive by LC/MS/MS (greater than +50%) | Percent Agreement with LC/MS/MS |
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| Semi-quantitative, 9 ng/mL neat LC/MS/MS cutoff | | | | | |
| --- | --- | --- | --- | --- | --- |
| Low Neg by LC/MS/MS (less than - 50%) | Near Cutoff Negative by LC/MS/MS (Between - 50% and cutoff) | Near Cutoff Positive by LC/MS/MS (Between cutoff and +50%) | High Positive by LC/MS/MS (greater than +50%) | Percent Agreement with LC/MS/MS | |
| Positive | 0 | 2 | 3 | 45 | 100% |
| Negative | 45 | 5 | 0 | 0 | 100% |
Discordant results
| Roche COC OF Result | | Benzoylecgonine Neat LC/MS/MS (ng/mL) | Cocaine Reference Neat LC/MS/MS (ng/mL) |
| --- | --- | --- | --- |
| Semi-Quant | Qual | | |
| POS | POS | 7.50 | 8.94 |
| POS | POS | 8.78 | 2.46 |
| NEG | POS | 4.02 | 9.90 |
In the second study, 40 oral fluid samples collected with the Intercept® Oral Specimen Collection Device that were previously screened negative using the Cocaine metabolite Intercept MICRO-PLATE EIA assay, were evaluated with the Oral Fluid Cocaine assay. Forty samples that were screened positive with the Cocaine metabolite Intercept MICRO-PLATE EIA were obtained from a clinical laboratory and were subsequently confirmed by LC/MS/MS to contain COC, were evaluated with the OFCOC. In addition, unaltered near cutoff samples were analyzed. These samples fell in the near cutoff negative range (between - 50% and cutoff) and the near cutoff positive range (between cutoff and + 50%) as measured by LC/MS/MS Four negative near cutoff samples and four positive near cutoff samples were assayed.
Note: this study was performed on samples already collected with the Intercept collection device. When the LC/MS/MS values of the diluted samples were compared to the immunoassay values, the following results were obtained. Therefore the results below do not reflect any inaccuracy inherent in the collection process itself.
{14}
| | Semi-quantitative | | | | |
| --- | --- | --- | --- | --- | --- |
| | Low Neg by LC/MS/MS (less than -50%) | Near Cutoff Negative by LC/MS/MS (Between -50% and cutoff) | Near Cutoff Positive by LC/MS/MS (Between cutoff and +50%) | High Positive by LC/MS/MS (greater than +50%) | Percent Agreement with LC/MS/MS |
| Positive | 0 | 1 | 4 | 36 | 97.5% |
| Negative | 36 | 3 | 0 | 0 | 100% |
| | Semi-quantitative | | | | |
| --- | --- | --- | --- | --- | --- |
| | Low Neg by LC/MS/MS (less than -50%) | Near Cutoff Negative by LC/MS/MS (Between - 50% and cutoff) | Near Cutoff Positive by LC/MS/MS (Between cutoff and +50%) | High Positive by LC/MS/MS (greater than +50%) | Percent Agreement with LC/MS/MS |
| Positive | 0 | 1 | 4 | 36 | 97.5% |
| Negative | 36 | 3 | 0 | 0 | 100% |
Discordant Results
| Roche COC OF Result | | Benzoylecgonine Reference Method (ng/mL) | Cocaine Reference Method (ng/mL) |
| --- | --- | --- | --- |
| Semi-Quant (ng/mL) | Qual | | |
| POS | POS | 6.678 | 10.824 |
b. Matrix comparison:
Not applicable. The assay is intended for only one sample matrix.
3. Clinical studies:
a. Clinical Sensitivity:
Not applicable. Clinical studies are not typically submitted for this device type.
b. Clinical specificity:
Not applicable. Clinical studies are not typically submitted for this device
{15}
type.
c. Other clinical supportive data (when a. and b. are not applicable):
Not applicable
4. Clinical cut-off:
Not applicable
5. Expected values/Reference range:
Not applicable
N. Proposed Labeling:
The labeling is sufficient and it satisfies the requirements of 21 CFR Part 809.10.
O. Conclusion:
The submitted information in this premarket notification is complete and supports a substantial equivalence decision.
16
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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.