The ACCU NEWS Drug Screening Test Card and Urine Cup are rapid lateral flow immunoassays for the qualitative detection of Amphetamine, Cocaine, Marijuana, Methamphetamine and Morphine in human urine. The test cut-off concentrations and the compounds the tests are calibrated to are as follows: Analyte Abbreviation Calibrator Cutoff Concentration (ng/mL) Amphetamine AMP d-Amphetamine 1000 Cocaine COC Benzoylecgonine 300 Methamphetamine MET d-Methamphetamine 1000 Morphine MOP Morphine 300 Marijuana THC 11-Nor-Δ9-THC-9-COOH 50 The ACCU NEWS Drug Screening Test Card and Urine Cup provide 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. This test is intended for over-the-counter (OTC) consumer use as the first step in a two-step process to provide consumers, with information concerning the presence or absence of the above stated drugs or their metabolites in a urine sample. Information regarding confirmatory testing, the second step in the process, is provided in the package labeling.
Device Story
Rapid lateral flow immunoassay for qualitative drug screening in human urine; available as test card or integrated urine cup. Principle: competitive binding between drug-protein conjugates on membrane and drug/metabolites in urine sample; anti-drug antibody-colloidal gold conjugates used for visualization. Negative result: visible line in test region; positive result: absence of line. Control line confirms proper test performance. Used by consumers (OTC) or professionals; provides preliminary results only. Requires confirmatory testing via chromatography/mass spectrometry for positive results. Benefits: provides immediate information regarding presence of drugs/metabolites to facilitate further clinical or personal decision-making.
Clinical Evidence
Bench testing only. Performance evaluated via method comparison against GC/MS using 340 clinical samples, showing >96% agreement. Lay-user study (n=300, ages 18-47) demonstrated >95% agreement with GC/MS results. Interference testing confirmed no cross-reactivity with common substances, pH (3.0-9.0), or specific gravity (1.001-1.040).
Indicated for qualitative detection of drugs/drug metabolites in human urine for prescription and OTC use. Analytes: Amphetamine (1000 ng/ml), Methamphetamine (1000 ng/ml), Morphine (300 ng/ml), Cocaine (300 ng/ml), Marijuana (50 ng/ml). Provides preliminary results; requires confirmatory testing (GC/MS or LC/MS).
Regulatory Classification
Identification
An amphetamine test system is a device intended to measure amphetamine, a central nervous system stimulating drug, in plasma and urine. Measurements obtained by this device are used in the diagnosis and treatment of amphetamine use or overdose and in monitoring levels of amphetamine to ensure appropriate therapy.
Special Controls
*Classification.* Class II (special controls). An amphetamine 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).
Predicate Devices
Innovacon® Spectrum II Test Card/Test Card with Integrated Cups (K061718)
Submission Summary (Full Text)
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# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION MEMORANDUM ASSAY ONLY TEMPLATE
A. 510(k) Number:
k152590
B. Purpose for Submission:
New device
C. Measurand:
Amphetamine, Methamphetamine, Morphine, Cocaine, Marijuana
D. Type of Test:
Qualitative immunoassay
E. Applicant:
Coretests, Inc.
F. Proprietary and Established Names:
ACCU NEWS Drug Screening Test Card
ACCU NEWS Drug Screening Urine Cup
G. Regulatory Information:
| Product Code | Classification | Regulation Section | Panel |
| --- | --- | --- | --- |
| LDJ | II | 862.3870, Cannabinoid Test System | 91-Toxicology |
| DIO | II | 862.3250, Cocaine and Cocaine Metabolite Test System | 91-Toxicology |
| DNK | II | 862.3640, Morphine Test System | 91-Toxicology |
| LAF | II | 862.3610, Methamphetamine Test System | 91-Toxicology |
| DKZ | II | 862.3100, Amphetamine Test System | 91-Toxicology |
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H. Intended Use:
1. Intended use(s):
See indications for use below.
2. Indication(s) for use:
The ACCU NEWS Drug Screening Test Card and Urine Cup are rapid lateral flow immunoassays for the qualitative detection of Amphetamine, Cocaine, Marijuana, Methamphetamine and Morphine in human urine. The test cut-off concentrations and the compounds the tests are calibrated to are as follows:
| Analyte | Abbreviation | Calibrator | Cutoff Concentration (ng/mL) |
| --- | --- | --- | --- |
| Amphetamine | AMP | d-Amphetamine | 1000 |
| Cocaine | COC | Benzoylecgonine | 300 |
| Methamphetamine | MET | d-Methamphetamine | 1000 |
| Morphine | MOP | Morphine | 300 |
| Marijuana | THC | 11-Nor-Δ9-THC-9-COOH | 50 |
The ACCU NEWS Drug Screening Test Card and Urine Cup provide 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.
This test is intended for over-the-counter (OTC) consumer use as the first step in a two-step process to provide consumers, with information concerning the presence or absence of the above stated drugs or their metabolites in a urine sample. Information regarding confirmatory testing, the second step in the process, is provided in the package labeling.
3. Special conditions for use statement(s):
For prescription and over-the-counter (OTC) use.
4. Special instrument requirements:
Not applicable, these are visually-read single-use devices.
I. Device Description:
These devices are for use with human urine only. The device is available in two different formats, 1) test card and 2) urine cup. They consist of:
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1. One pouch containing the test device and desiccant (the desiccant is for storage purpose only)
2. A sample collection cup, a plastic specimen bag, a confirmation test label, and a pre-addressed mailer (for confirmation test)
3. An instruction sheet
## J. Substantial Equivalence Information:
1. Predicate device name(s):
Innovacon Spectrum II Test Card/Test Card with Integrated Cups.
2. Predicate 510(k) number(s):
K061718
3. Comparison with predicate:
| Similarities and Differences | | | | |
| --- | --- | --- | --- | --- |
| Item | Predicate Device: Innovacon Spectrum II Test Card/Test Card with Integrated Cups (k061718) | | Candidate Device: ACCU NEWS Drug Screening Test Card/Urine Cup (k152590) | |
| Intended use | For detection of drugs/drug metabolites in human urine to screen for drugs of abuse. | | Same | |
| Specimen | Human urine | | Same | |
| Results | Qualitative | | Same | |
| Methodology | Competitive Lateral Flow Immunoassay | | Same | |
| Intended Users | Prescription users | | Prescription and over-the-counter (OTC) users | |
| Formats | Test Card and Urine Cup | | Same | |
| Storage Temperature | 2-30°C (36-86°F) | | Same | |
| Analytes and Cutoff (ng/ml) | Amphetamine | 1000/300 | Amphetamine | 1000 |
| | Cocaine | 300/150 | Cocaine | 300 |
| | Methamphetamine | 1000/500 | Methamphetamine | 1000 |
| | Morphine | 2000/300 | Morphine | 300 |
| | Marijuana | 50 | Marijuana | 50 |
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4
K. Standard/Guidance Document Referenced (if applicable):
CLSI EP07-A2, Interference Testing in Clinical Chemistry; Approved Guideline-Second Edition
L. Test Principle:
The ACCU NEWS Drug Screening Test Card and ACCU NEWS Urine Cup test devices are rapid lateral flow immunoassays in which drug-protein conjugates in the device compete with drugs or drug metabolites that may be present in urine. On each test strip, a drug-protein conjugate is present in the test band of the membrane (known as the test region, T), and the anti-drug antibody-colloidal gold conjugate pads are at the forward end of the membrane. If target drugs are present in the urine specimen below its cut-off concentration, the solution of the colored antibody-gold conjugates then complexes with the drug-protein conjugates to form visible lines. Therefore, the formation of the visible line in the test band indicates a negative result. If the target drug level exceeds its cut-off concentration, the drug/metabolite competes with drug-protein conjugates on the test and region for the limited antibody on the colored drug antibody-colloidal gold conjugate pad. The drug will saturate the limited antibody binding sites and the colored drug antibody-colloidal gold conjugate cannot bind to the drug-protein conjugate at the test region of the test strip. Therefore, absence of the color band on the test region indicates a preliminary positive result. A band should form in the control region (C) of the devices regardless of the presence of drug in the sample to indicate that the test has been performed properly.
M. Performance Characteristics (if/when applicable):
1. Analytical performance:
a. Precision/Reproducibility:
The precision performance of the test strips of the devices was evaluated using 3 lots of testing devices conducted by 3 operators. Urine samples were spiked with different drug concentrations: negative, -50%, -25%, cut-off, +25%, and +50% of cutoff concentrations. The drug concentrations in the urine sample were confirmed by GC/MS analysis. Samples were blind-labeled and randomly distributed among operators. The study was conducted over 4 to 10 days. The results are summarized below: Results for Test Card:
| Target Drug | Concentration Tested | Total of three operators |
| --- | --- | --- |
| | | Neg/Pos |
| AMP (cutoff: 1000 ng/ml) | Negative | 30/0 |
| | -50% of cutoff | 30/0 |
| | -25% of cutoff | 30/0 |
| | Cutoff | 6/24 |
| | +25% of cutoff | 0/30 |
| | +50% of cutoff | 0/30 |
| MET | Negative | 30/0 |
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5
| Target Drug | Concentration Tested | Total of three operators |
| --- | --- | --- |
| | | Neg/Pos |
| (cutoff: 1000ng/ml) | -50% of cutoff | 30/0 |
| | -25% of cutoff | 30/0 |
| | Cutoff | 10/20 |
| | +25% of cutoff | 0/30 |
| | +50% of cutoff | 0/30 |
| MOP
(cutoff: 300ng/ml) | Negative | 30/0 |
| | -50% of cutoff | 30/0 |
| | -25% of cutoff | 30/0 |
| | Cutoff | 7/23 |
| | +25% of cutoff | 0/30 |
| | +50% of cutoff | 0/30 |
| COC
(cutoff: 300ng/ml) | Negative | 30/0 |
| | -50% of cutoff | 30/0 |
| | -25% of cutoff | 29/1 |
| | Cutoff | 21/9 |
| | +25% of cutoff | 1/29 |
| | +50% of cutoff | 0/30 |
| THC
(cutoff: 50ng/ml) | Negative | 30/0 |
| | -50% of cutoff | 30/0 |
| | -25% of cutoff | 30/0 |
| | Cutoff | 24/6 |
| | +25% of cutoff | 0/30 |
| | +50% of cutoff | 0/30 |
Results for Urine Cup:
| Target Drug | Concentration Tested | Total of three operators |
| --- | --- | --- |
| | | Neg/Pos |
| AMP
(cutoff: 1000 ng/ml) | Negative | 30/0 |
| | -50% of cutoff | 30/0 |
| | -25% of cutoff | 30/0 |
| | Cutoff | 16/14 |
| | +25% of cutoff | 0/30 |
| | +50% of cutoff | 0/30 |
| MET
(cutoff: 1000ng/ml) | Negative | 30/0 |
| | -50% of cutoff | 30/0 |
| | -25% of cutoff | 30/0 |
| | Cutoff | 14/16 |
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| Target Drug | Concentration Tested | Total of three operators |
| --- | --- | --- |
| | | Neg/Pos |
| | +25% of cutoff | 1/29 |
| | +50% of cutoff | 0/30 |
| MOP (cutoff: 300ng/ml) | Negative | 30/0 |
| | -50% of cutoff | 30/0 |
| | -25% of cutoff | 30/0 |
| | Cutoff | 17/13 |
| | +25% of cutoff | 2/28 |
| | +50% of cutoff | 0/30 |
| COC (cutoff: 300ng/ml) | Negative | 30/0 |
| | -50% of cutoff | 30/0 |
| | -25% of cutoff | 30/0 |
| | Cutoff | 19/11 |
| | +25% of cutoff | 2/28 |
| | +50% of cutoff | 0/30 |
| THC (cutoff: 50ng/ml) | Negative | 30/0 |
| | -50% of cutoff | 30/0 |
| | -25% of cutoff | 30/0 |
| | Cutoff | 23/7 |
| | +25% of cutoff | 0/30 |
| | +50% of cutoff | 0/30 |
b. Linearity/assay reportable range:
Not applicable. These devices are intended for qualitative use only.
c. Traceability, Stability, Expected values (controls, calibrators, or methods):
Stability: Device stability has been evaluated through accelerated studies. Protocols and acceptance criteria were reviewed and found to be acceptable to support the claims that the devices are stable for two years (24 months) when stored at 36-86°F (2-30° C).
Real-time stability protocols and acceptance criteria were reviewed and found to be acceptable. The real-time stability studies are ongoing.
d. Detection limit:
See Precision/Reproducibility section in M.1.a above.
e. Analytical specificity:
For each drug, specificity was evaluated by spiking various concentrations of structurally similar compounds into drug-free urine. Results are expressed as a
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minimum concentration of metabolite or compound required to produce a response approximately equivalent to the cutoff concentration of the assay. The percent cross-reactivity of those compounds is listed below:
| Drug Test | Compound | Concentration Equivalent to the Cutoff (ng/mL) | Cross-Reactivity (%) |
| --- | --- | --- | --- |
| AMP | d-Amphetamine | 1000 | 100 |
| d,l-Amphetamine | 3,000 | 33.3 |
| l-Amphetamine | 50,000 | 2 |
| d-Methamphetamine | >100,000 | <1 |
| l-Methamphetamine | >100,000 | <1 |
| d-Ephedrine | >100,000 | <1 |
| l-Ephedrine | >100,000 | <1 |
| d-Pseudoephedrine | >100,000 | <1 |
| l-Pseudoephedrine | >100,000 | <1 |
| (+/-)3,4-Methylenedioxyamphetamine (MDA) | 2500 | 40 |
| 3,4-Methylenedioxythylamphetamine (MDEA) | >100,000 | <1 |
| (+/-)3,4-Methylenedioxymethamphetamine (MDMA) | >100,000 | <1 |
| Phentermine | 25000 | 4 |
| MET | d-Methamphetamine | 1000 | 100 |
| l-Methamphetamine | 100,000 | 1 |
| d-Amphetamine | >100,000 | <1 |
| l-Amphetamine | >100,000 | <1 |
| d-Ephedrine | >100,000 | <1 |
| l-Ephedrine | >100,000 | <1 |
| d-Pseudoephedrine | >100,000 | <1 |
| l-Pseudoephedrine | >100,000 | <1 |
| (+/-)3,4-Methylenedioxyamphetamine (MDA) | >100,000 | <1 |
| 3,4-Methylenedioxythylamphetamine (MDEA) | 50,000 | 2 |
| (+/-)3,4-Methylenedioxymethamphetamine (MDMA) | 25,000 | 4 |
| Chloroquine | 50,000 | 2 |
| β-Phenylethylamine | 50,000 | 2 |
| Trimethobenamide | 10,000 | 10 |
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| Drug Test | Compound | Concentration Equivalent to the Cutoff (ng/mL) | Cross-Reactivity (%) |
| --- | --- | --- | --- |
| MOP | Morphine | 300 | 100 |
| | Codeine | 300 | 100 |
| | Ethylmorphine | 300 | 100 |
| | Heroin | 300 | 100 |
| | 6-Monoacetylmorphine | 300 | 100 |
| | Hydrocodone | 5,000 | 6 |
| | Hydromorphone | 5,000 | 6 |
| | Morphine-3-β-glucuronide | 1,000 | 30 |
| | Oxycodone | 100,000 | <1 |
| COC | Benzoylecogonine | 300 | 100 |
| | Cocaine HCl | 750 | 40 |
| | Cocaethylene | 12,500 | 2.4 |
| | Ecgonine | 32,000 | <1 |
| | Norcocaine | 100,000 | <1 |
| THC | 11-Nor-Δ9-Tetrahydrocannabinol carboxylic acid | 50 | 100 |
| | 11-Hydroxy-Δ9-Tetrahydrocannabinol | 2,500 | 2 |
| | Δ8-Tetrahydrocannabinol | 7,500 | <1 |
| | Δ9-Tetrahydrocannabinol | 10,000 | <1 |
| | Cannabinol | 10,000 | <1 |
| | Cannabidiol | 100,000 | <1 |
The sponsor also evaluated whether various substances commonly found in human urine in physiological or pathological conditions would interfere with test results. The following compounds were spiked into drug positive or negative urine at a concentration of $100\mathrm{ug / ml}$ ; no interference was detected.
| Acetylsalicyclic Acid | Ethyl-p-aminobenzoate | Oxymetazoline |
| --- | --- | --- |
| Aminopyrine | Erythromycin | Papaverine |
| Amoxicillin | β-Estradiol | Penicillin-G |
| Ampicillin | Fenoprofen | Perphenazine |
| Apomorphine | Furosemide | Phenacetin |
| Aspartame | Gentisic acid | Phenelzine |
| Atropine | Hemoglobin | L-Phenylephrine |
| Benzilic acid | Hydralazine | β-Phenylethylamine |
| Benzoic acid | Hydrochlorothiazide | Phenylpropanolamine |
| Bilirubin | Hydrocortisone | Prednisone |
| Caffeine | 3-Hydroxytyramine | D,L-Propanolol |
| Chloral hydrate | D,L-Isoproterenol | D-Pseudoephedrine |
| Chloramphenicol | Isoxsuprine | Quinidine |
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9
| Chlorothiazide | Ketoprofen | Quinine |
| --- | --- | --- |
| D,L-Chlorpheniramine | Labetalol | Ranitidine |
| Chlorpromazine | Loperamide | Salicyclic acid |
| Chloroquine | Meprobamate | Serotonin |
| Cholesterol | Nalidixic acid | Sulfamethazine |
| Clonidine | Naloxone | Tetrahydrozoline |
| Cortisone | Naltrexone | Thiamine |
| L-Cotinine | Methoxyphenamine | Thioridazine |
| Creatinine | Naproxen | D,L-Tyrosine |
| Deoxycortisterone | Niacinamide | Triamterene |
| Dextromethorphan | Nifedipine | Trifluoperazine |
| Diclofenac | Norethindrone | Trimethoprim |
| Diflunisal | D-Norpropoxyphene | Tyramine |
| Digoxin | Noscapine | D,L-Tryptophan |
| Diphenhydramine | D,L-Octopamine | Uric acid |
| Ecgonine methyl ester | Oxalic acid | Verapamil |
| L-ψ-Ephedrine | Oxolinic acid | Zomepirac |
The sponsor tested the effects of varying pH and specific gravity on drug positive and negative urine. The pH and specific gravity-adjusted urine samples were found not to interfere with the tests at pH range from 3.0 to 9.0 and specific gravity range from 1.001 to 1.040.
f. Assay cut-off:
Characterization of how the device performs analytically around the claimed cutoff concentration is described in the precision section, M.1.a., above.
2. Comparison studies:
a. Method comparison with predicate device:
The sponsor performed the method comparison study by comparing the performance of the devices to GC/MS results. A total of 340 clinical urine samples were distributed and tested across three sites with two operators at each site. Urine samples were blind-labeled for the testing and drug concentrations were determined by GC/MS. Results are summarized below:
Method comparison data – Test Card
| | No Drug Present | Near Cutoff Negative (between -50% cutoff and +50%) | Near Cutoff Negative (between cutoff and +50%) | High Positive (> +50% cutoff) | % Agreement with GC/MS | | Overall% Agreement with GC/MS |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | | | | | Negative | Positive | |
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| | | | cutoff) | cutoff) | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| AMP | + | 0 | 1 | 9 | 40 | 98% | 98% | 98% |
| | - | 40 | 9 | 1 | 0 | | | |
| MET | + | 0 | 1 | 8 | 40 | 98% | 96% | 97% |
| | - | 40 | 9 | 2 | 0 | | | |
| MOP | + | 0 | 2 | 10 | 40 | 96% | 100% | 98% |
| | - | 40 | 8 | 0 | 0 | | | |
| COC | + | 0 | 1 | 8 | 40 | 98% | 96% | 97% |
| | - | 40 | 9 | 2 | 0 | | | |
| THC | + | 0 | 0 | 8 | 40 | 100% | 96% | 98% |
| | - | 40 | 10 | 2 | 0 | | | |
Summary of Discordant Results - Test Card:
| Sample | Dug Test | Results Recorded | GC/MS Value (ng/mL) |
| --- | --- | --- | --- |
| 844591 | AMP 1000 | Positive | 952 |
| 545390 | AMP 1000 | Negative | 1030 |
| 960940 | MET 1000 | Positive | 982 |
| 860829 | MET 1000 | Negative | 1054 |
| 610670 | MET 1000 | Negative | 1060 |
| 572595 | MOP 300 | Positive | 284 |
| 898906 | MOP 300 | Positive | 286 |
| 699527 | COC 300 | Positive | 285 |
| 710595 | COC 300 | Negative | 322 |
| 491069 | COC 300 | Negative | 330 |
| 494372 | THC 50 | Negative | 54.3 |
| 801073 | THC 50 | Negative | 55.0 |
Method comparison data - Urine Cup
| | No Drug Present | Near Cutoff Negative (between -50% cutoff and cutoff) | Near Cutoff Negative (between cutoff and +50% cutoff) | High Positive (> +50% cutoff) | % Agreement with GC/MS | | Overall% Agreement with GC/MS | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | | | Negative | Positive | | |
| AMP | + | 0 | 1 | 9 | 40 | 98% | 98% | 98% |
| | - | 40 | 9 | 1 | 0 | | | |
| MET | + | 0 | 1 | 8 | 40 | 98% | 96% | 97% |
| | - | 40 | 9 | 2 | 0 | | | |
| MOP | + | 0 | 2 | 10 | 40 | 96% | 100% | 98% |
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11
| | - | 40 | 8 | 0 | 0 | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| COC | + | 0 | 0 | 8 | 40 | 100% | 96% | 98% |
| | - | 40 | 10 | 2 | 0 | | | |
| THC | + | 0 | 0 | 8 | 40 | 100% | 96% | 98% |
| | - | 40 | 10 | 2 | 0 | | | |
Summary of Discordant Results – Urine Cup:
| Sample | Dug Test | Results Recorded | GC/MS Value (ng/mL) |
| --- | --- | --- | --- |
| 844591 | AMP 1000 | Positive | 952 |
| 545390 | AMP 1000 | Negative | 1030 |
| 960940 | MET 1000 | Positive | 982 |
| 860829 | MET 1000 | Negative | 1054 |
| 610670 | MET 1000 | Negative | 1060 |
| 572595 | MOP 300 | Positive | 284 |
| 898906 | MOP 300 | Positive | 286 |
| 710595 | COC 300 | Negative | 322 |
| 491069 | COC 300 | Negative | 330 |
| 494372 | THC 50 | Negative | 54.3 |
| 801073 | THC 50 | Negative | 55.0 |
b. Matrix comparison:
Not applicable. This device is for use with urine samples only.
3. Clinical studies:
a. Clinical Sensitivity:
Not applicable
b. Clinical specificity:
Not applicable
c. Other clinical supportive data (when a. and b. are not applicable):
The sponsor conducted a study with 300 untrained lay users. A total of 175 males and 125 females from ages of 18 to 47 with a variety of educational background participated in the study at 3 sites. The blind-labeled urine samples were spiked to the following concentrations with 2-5 drugs: negative; 50%, 75%, 125%, 150%, and 200%.
Each lay-user received one test card and one urine cup to test. For each device format (card and cup), a lay-user received a package insert, one blind labeled aliquot, and one device. Each blind-labeled urine sample was tested only once with each device
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format. All samples were verified by GC/MS, and the results of lay-user were compared to those of GC/MS. The results are summarized below:
Summary of Lay-user Results - Test Card
| Drug | Results | Drug Concentration | | | | | | Agreement with GC/MS |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | Negative | -50% | -25% | +25% | +50% | +100% | |
| AMP | + | 0 | 0 | 0 | 20 | 40 | 20 | 100% |
| | - | 180 | 20 | 20 | 0 | 0 | 0 | |
| MET | + | 0 | 0 | 0 | 20 | 40 | 20 | 100% |
| | - | 180 | 20 | 20 | 0 | 0 | 0 | |
| MOP | + | 0 | 0 | 0 | 20 | 40 | 20 | 100% |
| | - | 180 | 20 | 20 | 0 | 0 | 0 | |
| COC | + | 0 | 0 | 0 | 20 | 40 | 20 | 100% |
| | - | 180 | 20 | 20 | 0 | 0 | 0 | |
| THC | + | 0 | 0 | 0 | 20 | 40 | 20 | 100% |
| | - | 180 | 20 | 20 | 0 | 0 | 0 | |
Summary of Lay-user Results - Urine Cup
| Drug | Results | Drug Concentration | | | | | | Agreement with GC/MS |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | Negative | -50% | -25% | +25% | +50% | +100% | |
| AMP | + | 0 | 0 | 0 | 20 | 40 | 20 | 100% |
| | - | 180 | 20 | 20 | 0 | 0 | 0 | |
| MET | + | 0 | 0 | 0 | 20 | 40 | 20 | 100% |
| | - | 180 | 20 | 20 | 0 | 0 | 0 | |
| MOP | + | 0 | 0 | 0 | 20 | 40 | 20 | 100% |
| | - | 180 | 20 | 20 | 0 | 0 | 0 | |
| COC | + | 0 | 0 | 0 | 20 | 40 | 20 | 100% |
| | - | 180 | 20 | 20 | 0 | 0 | 0 | |
| THC | + | 0 | 0 | 0 | 19 | 40 | 20 | 99.7% |
| | - | 180 | 20 | 20 | 1 | 0 | 0 | |
Each lay-user was also given an English language questionnaire to assess the readability of the labeling and $100\%$ of users indicated that the device instructions can be easily followed.
# 4. Clinical cut-off:
Not applicable
# 5. Expected values/Reference range:
Not applicable
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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.
13
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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.