K032575 · W.H.P.M., Inc. · DKZ · May 19, 2004 · Clinical Toxicology
Device Facts
Record ID
K032575
Device Name
FIRST SIGN DRUG OF ABUSE SCREENING TEST
Applicant
W.H.P.M., Inc.
Product Code
DKZ · Clinical Toxicology
Decision Date
May 19, 2004
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 862.3100
Device Class
Class 2
Indications for Use
First Sign™ Drugs of Abuse Screening Test are one-step lateral flow immunoassays intended for the detection of drug analytes in urine. First Sign™ Drug of Abuse Screening Test are intended for use in the qualitative detection of drugs of abuse at the following Substance Abuse Mental Health Services Administration (SAMHSA) recommended levels: Compound Abbreviation Level Amphetamine (d-amphetamine sulfate) AMP 1000 ng/ml Methamphetamine ((+)methamphetamine HC1) METH 1000 ng/ml Opiates 2000 (morphine-3-P-D glucuronide) OPI 2000 ng/ml Opiates 300 (morphine-3-P-D glucuronide) OPI 300 ng/ml Cocaine (Benzoylecgonine) COC 300 ng/ml Cannabinoids (11-nor-A9-THC-9-carboxylic-acid) THC 50 ng/ml Phencyclidine (phencyclidine HC1) PCP 25 ng/ml First Sign™ Drugs of Abuse Screening Test provide only a preliminary qualitative test result. Use a more specific alternate quantitative analytical method to obtain a confirmed analytical result. Gas chromatography/mass spectrometry (GC/MS) is the preferred confirmatory method. Apply clinical and professional judgment to any drug of abuse test result, particularly when preliminary positive results are obtained. For professional use only.
Device Story
Lateral flow immunoassay for qualitative detection of drugs of abuse in urine; detects AMP, METH, OPI, COC, THC, and PCP at specified cutoff levels. Device used by professionals in clinical settings; provides preliminary results. Requires confirmation via GC/MS for clinical decision-making. Benefits include rapid screening for substance abuse.
Clinical Evidence
No clinical trials performed. Evidence consists of analytical performance studies including precision/reproducibility (n=40 per concentration), cutoff verification (n=10 per concentration), and analytical specificity/cross-reactivity. Method comparison studies were conducted using clinical and spiked urine samples compared against GC/MS and predicate devices, showing high agreement (>94% across all analytes).
Technological Characteristics
Lateral flow immunochromatographic assay. Components: dye pad with colloidal gold particles coated with mouse monoclonal antibody; test line with drug-protein conjugates; control line with goat polyclonal antibody. Visual readout. Single-use, standalone device. No electronic components or software.
Indications for Use
Indicated for professional use in the qualitative detection of drugs of abuse (Amphetamine, Methamphetamine, Opiates, Cocaine, Cannabinoids, Phencyclidine) in human urine at SAMHSA-recommended cutoff levels.
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
Acon Rapid Drug Screens
Submission Summary (Full Text)
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510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION
DECISION SUMMARY
DEVICE ONLY TEMPLATE
A. 510(k) Number:
K032575
B. Analyte:
Amphetamine, Methamphetamine, Opiates, Cocaine, Cannabinoids, Phencyclidine
C. Type of Test:
Qualitative immunoassay
D. Applicant:
W.H.P.M. Inc.
E. Proprietary and Established Names:
First Sigh Drug Screening Tests
F. Regulatory Information:
1. Regulation section:
21 CFR § 862.31000 Amphetamine Test System; 21 CFR § 862.3610
Methamphetamine Test System; 21 CFR § 862.3650 Opiate Test System; 21
CFR § 862.3250 Cocaine and Cocaine metabolite Test System; 21 CFR § 862.3870 Cannabinoid Test System; Phencyclidine Enzyme Immunoassay
2. Classification:
Class II
3. Product Code:
DKZ; DJC; DJG; DIO; DKE; LCM
4. Panel:
Toxicology (91)
G. Intended Use:
1. Intended use(s):
Refer to Indications for use.
2. Indication(s) for use:
First Sign Drugs of Abuse Screening Tests are one-step lateral flow
immunoassay intended for the detection of drug analytes in urine. First Sign
Drugs of Abuse Screening Test are intended for use in the qualitative
detection of drugs of abuse at the following Substance Abuse Mental Health
Services Administration (SAMHSA) recommended levels:
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| Amphetamine | 1000 ng/ml |
| --- | --- |
| Methamphetamine: | 1000 ng/ml |
| Cocaine: | 300 ng/ml |
| Cannabinoids: | 50 ng/ml |
| Phencyclidine: | 25 ng/ml |
| Opiates2000: | 2000 ng/ml |
| Opiates300: | 300 ng/ml |
First Sign Drugs of Abuse Screening Tests provide only a preliminary qualitative test result. Use a more specific alternate quantitative analytical method to obtain a confirmed analytical result. Gas chromatography/mass spectrometry (GC/MS) is the preferred confirmatory method. Apply clinical and professional judgment to any drug of abuse test result, particularly when preliminary positive results are used.
For professional use only.
3. Special condition for use statement(s):
These assays provide only the preliminary analytical test results. A more specific alternate chemical method must be used in order to obtain a confirmed analytical result. Gas chromatography/mass spectrometry (GC/MS) 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.
4. Special instrument Requirements:
Not applicable. The devices are visually read single-use devices.
H. Device Description:
The First Sign Drugs of Abuse Screening Tests are immunoassays based on the principle of competitive binding. Drugs which may be present in the urine specimen compete against the drug conjugate for binding sites on the antibody.
Labeled antibody-dye conjugate mixes sample specimen and binds to the free drug present forming an antibody-antigen complex. This complex competes with immobilized antigen conjugate in the test zone preventing the formation of pink-rose color band when drug concentration in the specimen is above the cut-off concentration. Unbound dye conjugates bind to the reagent in the negative control zone and produces a pink-rose color band, demonstrating that the reagents and device are functioning correctly.
A negative specimen produces two distinct color bands in both the test region and the control region. A positive specimen produces only one color band in the control region.
To serve as a procedural control, a colored line will always appear at the control line region, indicating that proper volume of specimen has been added and membrane wicking has occurred.
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I. Substantial Equivalence Information:
1. Predicate device name(s):
ACON AMP One Step Amphetamine Test Strip; ACON mAMP One Step Methamphetamine Test Strip; ACON COC One Step Cocaine Test Strip; ACON OPI One Step Opiate Test Strip; ACON THC One Step Marijuana Test Strip; ACON PCP One Step Phencyclidine Test Strip
2. Predicate K number(s):
K011673; K011672; K010841; K013380; k003557; K011730
3. Comparison with predicate:
The devices and their predicates are for the qualitative determination of the same analyte(s) in the same matrix, and utilize the same cutoff concentrations. All are visually-read single use devices.
J. Standard/Guidance Document Referenced (if applicable):
The sponsor did not reference any standards in this submission.
K. Test Principle:
The tests employ lateral flow immunochromatographic technology.
Drug in the sample and drug-labeled conjugate (containing a chromagen) compete for antibody binding sites in the test area of the test strip. Binding of drug in the sample causes the absence of a line at the test area, i.e., a positive result. When drug is not present in the sample, the drug-labeled conjugate binds at the test line, resulting in formation of a line, i.e., a negative result. The absence or presence of the line is determined visually by the operator.
The devices also have an internal process controls which indicate that adequate volume of sample has been added and that the immunochromatographic strip is intact.
The test line contains a membrane striped and coated with drug-protein conjugates on the test strip. A goat polyclonal antibody against gold-protein conjugate at the control line, and a dye pad which contains colloidal gold particles coated with a mouse monoclonal antibody specific to the test drug.
L. Performance Characteristics (if/when applicable):
1. Analytical performance:
a. Precision/Reproducibility:
Reproducibility studies were carried out using commercially available standards. Each standard was diluted in normal, drug-free urine to give the appropriate concentration. Each specimen, at each concentration of analyte, was tested four times daily, in duplicate, for five consecutive days. A total of 40 determinations were made at each concentration. The data are summarized below:
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Amphetamine
| Concentration (ng/ml) | Total number of Determinations | Result | Precision |
| --- | --- | --- | --- |
| 0 | 40 | 40 negative | >99% |
| 500 | 40 | 40 negative | >99% |
| 750 | 40 | 40 negative | >99% |
| 1000 | 40 | 40 positive | >99% |
| 1500 | 40 | 40 positive | >99% |
Cocaine
| Concentration (ng/ml) | Total number of Determinations | Result | Precision |
| --- | --- | --- | --- |
| 0 | 40 | 40 negative | >99% |
| 150 | 40 | 40 negative | >99% |
| 225 | 40 | 40 negative | >99% |
| 300 | 40 | 40 positive | >99% |
| 375 | 40 | 40 positive | >99% |
| 450 | 40 | 40 positive | >99% |
Methamphetamine
| Concentration (ng/ml) | Total number of Determinations | Result | Precision |
| --- | --- | --- | --- |
| 0 | 40 | 40 negative | >99% |
| 500 | 40 | 40 negative | >99% |
| 750 | 40 | 40 negative | >99% |
| 1000 | 40 | 40 positive | >99% |
| 1500 | 40 | 40 positive | >99% |
Opiate 300
| Concentration (ng/ml) | Total number of Determinations | Result | Precision |
| --- | --- | --- | --- |
| 0 | 40 | 40 negative | >99% |
| 150 | 40 | 40 negative | >99% |
| 225 | 40 | 40 negative | >99% |
| 300 | 40 | 40 positive | >99% |
| 375 | 40 | 40 positive | >99% |
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Opiate 2000
| Concentration (ng/ml) | Total number of Determinations | Result | Precision |
| --- | --- | --- | --- |
| 0 | 40 | 40 negative | >99% |
| 1000 | 40 | 40 negative | >99% |
| 1500 | 40 | 40 negative | >99% |
| 2000 | 40 | 40 positive | >99% |
| 3000 | 40 | 40 positive | >99% |
Phencyclidine
| Concentration (ng/ml) | Total number of Determinations | Result | Precision |
| --- | --- | --- | --- |
| 0 | 40 | 40 negative | >99% |
| 12.5 | 40 | 40 negative | >99% |
| 19 | 40 | 40 negative | >99% |
| 25 | 40 | 40 positive | >99% |
| 37.5 | 40 | 40 positive | >99% |
Marijuana
| Concentration (ng/ml) | Total number of Determinations | Result | Precision |
| --- | --- | --- | --- |
| 0 | 40 | 40 negative | >99% |
| 25 | 40 | 40 negative | >99% |
| 37.5 | 40 | 40 negative | >99% |
| 50 | 40 | 40 positive | >99% |
| 75 | 40 | 40 positive | >99% |
b. Linearity/assay reportable range:
Not applicable. The assay is intended for qualitative use.
c. Traceability (controls, calibrators, or method):
Procedural controls are included in the test strip and device. A color line appearing in the control region is considered as an internal procedural control. It confirms sufficient specimen volume, adequate membrane wicking and correct procedural technique.
Control standards are not supplied with these kits; however, it is recommended that positive and negative controls be tested as a good laboratory practice to confirm the test procedure and to verify proper
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test performance. Users should follow local, state, and federal guidelines for testing QC materials.
d. Cutoff Studies:
Know concentrations of drug were added to normal, drug free urine. Ten (10) determinations were made at each serial dilution of the single analyte. Cut-off is defined as that concentration which produced positive responses in all replicates. The data are summarized below:
Amphetamine
| Samples | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Concentration (ng/ml) | | | | | | | | | | |
| 0 | - | - | - | - | - | - | - | - | - | - |
| 500 | - | - | - | - | - | - | - | - | - | - |
| 750 | - | - | - | - | - | - | - | - | - | - |
| 1000 | + | + | + | + | + | + | + | + | + | + |
| 1500 | + | + | + | + | + | + | + | + | + | + |
Cocaine
| Samples | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Concentration (ng/ml) | | | | | | | | | | |
| 0 | - | - | - | - | - | - | - | - | - | - |
| 150 | - | - | - | - | - | - | - | - | - | - |
| 225 | - | - | - | - | - | - | - | - | - | - |
| 300 | + | + | + | + | + | + | + | + | + | + |
| 375 | + | + | + | + | + | + | + | + | + | + |
| 450 | + | + | + | + | + | + | + | + | + | + |
Methamphetamine
| Samples | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Concentration (ng/ml) | | | | | | | | | | |
| 0 | - | - | - | - | - | - | - | - | - | - |
| 500 | - | - | - | - | - | - | - | - | - | - |
| 750 | - | - | - | - | - | - | - | - | - | - |
| 1000 | + | + | + | + | + | + | + | + | + | + |
| 1500 | + | + | + | + | + | + | + | + | + | + |
Opiate 2000
| Samples | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Concentration (ng/ml) | | | | | | | | | | |
| 0 | - | - | - | - | - | - | - | - | - | - |
| 1000 | - | - | - | - | - | - | - | - | - | - |
| 1500 | - | - | - | - | - | - | - | - | - | - |
| 2000 | + | + | + | + | + | + | + | + | + | + |
| 3000 | + | + | + | + | + | + | + | + | + | + |
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Phencyclidine
| Samples | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Concentration (ng/ml) | | | | | | | | | | |
| 0 | - | - | - | - | - | - | - | - | - | - |
| 12.5 | - | - | - | - | - | - | - | - | - | - |
| 19 | - | - | - | - | - | - | - | - | - | - |
| 25 | + | + | + | + | + | + | + | + | + | + |
| 37.5 | + | + | + | + | + | + | + | + | + | + |
Marijuana
| Samples | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Concentration (ng/ml) | | | | | | | | | | |
| 0 | - | - | - | - | - | - | - | - | - | - |
| 25 | - | - | - | - | - | - | - | - | - | - |
| 37.5 | - | - | - | - | - | - | - | - | - | - |
| 50 | + | + | + | + | + | + | + | + | + | + |
| 75 | + | + | + | + | + | + | + | + | + | + |
e. Analytical specificity:
Interference and cross reactivity studies were performed by testing the drug analytes in the First Sign Drugs Screening Tests with various other drugs. Below is a list of drugs that will give a positive result at or above the concentration stated. All the following drugs were added to normal, drug free urine.
Amphetamine
| Drug Compound | Response equivalent to cutoff in ng/ml |
| --- | --- |
| d-amphetamine | 1,000 |
| D,l-amphetamine | 1,000 |
| l-amphetamine | 20,000 |
| Phentermine | 1,250 |
| (+/-)Methylenedioxyamphetamine (MDA) | 1,500 |
Methamphetamine
| Drug Compound | Response equivalent to cutoff in ng/ml |
| --- | --- |
| Procaine (Novocaine) | 60,000 |
| Trimethobenzamine | 20,000 |
| +/-methamphetamine | 1,000 |
| +methamphetamine | 500 |
| 3,4-Methylenedioxyethylamphetamine(MDEA) | 20,000 |
| (+/-)3,4-Methylenedioxymethamphetamine (MDMA) | 2,500 |
| Ranitidine (Zantac) | 50,000 |
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Opiates 300
| Drug compound | Response equivalent to cutoff in ng/mL |
| --- | --- |
| 6-acetylmorphine | 500 |
| Codeine | 100 |
| Heroin | 500 |
| Hydrocodone | 1,250 |
| Hydromorphone | 2,000 |
| Oxycodone | 75,000 |
| Morphine | 300 |
| Morphine-3-β-glucuronide | 75 |
| Ethylmorphine | 100 |
| Thebaine | 13,000 |
| Eserine (Physosotigmine) | 15,000 |
Opiates 2000
| Drug compound | Response equivalent to cutoff in ng/mL |
| --- | --- |
| 6-acetylmorphine | 1,000 |
| Codeine | 800 |
| Heroin | 400 |
| Hydrocodone | 10,000 |
| Hydromorphone | 2,000 |
| Oxycodone | 5,000 |
| Morphine | 1,600 |
| Morphine-3-β-glucuronide | 1,000 |
| Ethylmorphine | 50,000 |
| Thebaine | 26,000 |
Cocaine
| Compound | Response equivalent to cutoff in ng/ml |
| --- | --- |
| Benzoylecogonine | 300 |
| Cocaethylene | 300 |
| Cocaine | 300 |
| Metoclopromide | 80,000 |
| procaine | 75,000 |
Cannabinoids (THC)
| Compound | Response equivalent to cutoff in ng/mL |
| --- | --- |
| 11-Hydroxy-Δ⁹-Tetrahydrocannabinol | 5,000 |
| 11-Nor-Δ⁸-Tetrahydrocannabinol | 50 |
| 11-Nor-Δ⁹-Tetrahydrocannabinol Glucuronide | 2,5000 |
| Δ⁸-Tetrahydrocannabinol | 20,000 |
| Δ⁹-Tetrahydrocannabinol | 20,000 |
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## Phencyclidine
| Compound | Response equivalent to cutoff in ng/ml |
| --- | --- |
| Phencyclidine | 25 |
| 4-hydroxyphencyclidine | 90 |
| Phencyclidine Morpholine | 625 |
## Cross-Reactivity
Studies were conducted to determine the cross-reactivity of the test with compounds in either drug-free urine or dugs positive urine. The list of substances show no cross-reactivity when tested with the First Sign Drugs of Abuse Screening Test at a concentration of 100,000 ng/ml are listed in the package insert.
## f. Assay cut-off:
The First Sign Drugs Screening Test yield a positive result when the drug in urine exceed the specified drug concentrations. The recommended screening cutoff for listed drug positive specimens are the same as those set by the Substance Abuse and Mental Health Services Administration (SAMHSA). Characterization of how the device performs analytically around the claimed cutoff concentration appears in the Cutoff Studies Section, above.
## 2. Comparison studies:
### a. Method comparison with predicate device:
**Amphetamine:**
The First Sign Amphetamine Urine Screening Test was compared to GC/MS at the claimed cut-off levels. Additionally, the performance of the first Sign was compared to marketed device, Acon AMP Rapid Test and reference method (GC/MS). A combination of clinical and spiked samples were tested. The following Tables provide a summary of test results.
**All samples tested (clinical and spiked)**
| | First Sign | Predicate Device | Between - 50% and cutoff | Between cutoff and + 50% | GC/MS Positive (> +50%) | % agreement with GC/MS |
| --- | --- | --- | --- | --- | --- | --- |
| Positive | 79 | 79 | 0 | 38 | 43 | 100% |
| Negative | 80 | 80 | 67 | 2 | 0 | 97% |
**First Sign AMP comparison with ACON AMP Rapid Test-Spike Samples**
| Method | | ACON AMP Rapid Test | | Total Results |
| --- | --- | --- | --- | --- |
| First Sign AMP | Results | Positive | Negative | |
| | Positive | 59 | 0 | 59 |
| | Negative | 0 | 61 | 61 |
| Total Results | | 59 | 61 | 120 |
| % Agreement | | 100% | 100% | 100% |
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First Sign AMP comparison with GC/MS at cutoff 1000 ng/ml – Spiked Samples
| Method | | GC/MS | | Total Results |
| --- | --- | --- | --- | --- |
| First Sign AMP | Results | Positive | Negative | |
| | Positive | 59 | 0 | 59 |
| | Negative | 1 | 60 | 61 |
| Total Results | | 60 | 60 | 120 |
| % Agreement | | 98% | 100% | 99% |
First Sign AMP comparison with GC/MS – Clinical Samples
| Method | | GC/MS | | Total Results |
| --- | --- | --- | --- | --- |
| First Sign AMP | Results | Positive | Negative | |
| | Positive | 20 | 0 | 20 |
| | Negative | 1 | 19 | 20 |
| Total Results | | 21 | 19 | 40 |
| % Agreement | | 95.2% | >99% | 97.5% |
Cocaine:
The First Sign Cocaine Urine Screening Test was compared to GC/MS at the claimed cut-off levels. Additionally, the performance of the first Sign was compared to marketed device, Acon COC Rapid Test and reference method (GC/MS). A combination of clinical and spiked samples were tested. The following Tables provide a summary of test results.
All samples tested (clinical and spiked)
| | First Sign | Predicate Device | Between – 50% and cutoff | Between cutoff and + 50% | GC/MS Positive (> +50%) | % agreement with GC/MS |
| --- | --- | --- | --- | --- | --- | --- |
| Positive | 88 | 86 | 2 | 56 | 30 | 98% |
| Negative | 72 | 74 | 58 | 1 | 1 | 97% |
First Sign comparison with ACON COC Rapid Test-Spike Samples
| Method | | ACON COC Rapid Test | | Total Results |
| --- | --- | --- | --- | --- |
| First Sign | Results | Positive | Negative | |
| | Positive | 59 | 2 | 61 |
| | Negative | 0 | 59 | 59 |
| Total Results | | 59 | 61 | 120 |
| % Agreement | | 100% | 97% | 98% |
First Sign comparison with GC/MS at cutoff 300 ng/ml – Spiked Samples
| Method | | GC/MS | | Total Results |
| --- | --- | --- | --- | --- |
| First Sign | Results | Positive | Negative | |
| | Positive | 59 | 2 | 61 |
| | Negative | 1 | 58 | 59 |
| Total Results | | 60 | 60 | 120 |
| % Agreement | | 98% | 97% | 97% |
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First Sign comparison with GC/MS at cutoff 300 ng/ml – Clinical Samples
| Method | | GC/MS | | Total Results |
| --- | --- | --- | --- | --- |
| First Sign | Results | Positive | Negative | |
| | Positive | 26 | 0 | 26 |
| | Negative | 1 | 13 | 14 |
| Total Results | | 27 | 13 | 40 |
| % Agreement | | 96.3% | >99% | 97.5% |
## Methamphetamine:
The First Sign Methamphetamine Urine Screening Test was compared to GC/MS at the claimed cut-off levels. Additionally, the performance of the first Sign was compared to marketed device, Acon mAMP Rapid Test and reference method (GC/MS). A combination of clinical and spiked samples were tested. The following Tables provide a summary of test results.
All samples tested (clinical and spiked)
| | First Sign | Predicate Device | Between – 50% and cutoff | Between cutoff and + 50% | GC/MS Positive (> +50%) | % agreement with GC/MS |
| --- | --- | --- | --- | --- | --- | --- |
| Positive | 82 | 83 | 0 | 30 | 52 | 100% |
| Negative | 78 | 77 | 58 | 4 | 0 | 94% |
First Sign comparison with ACON mAMP Rapid Test-Spike Samples
| Method | | ACON mAMP Rapid Test | | Total Results |
| --- | --- | --- | --- | --- |
| First Sign | Results | Positive | Negative | |
| | Positive | 57 | 0 | 57 |
| | Negative | 1 | 62 | 63 |
| Total Results | | 58 | 62 | 120 |
| % Agreement | | 98% | 100% | 99% |
First Sign comparison with GC/MS at cutoff 1000 ng/ml – Spiked Samples
| Method | | GC/MS | | Total Results |
| --- | --- | --- | --- | --- |
| First Sign | Results | Positive | Negative | |
| | Positive | 57 | 0 | 57 |
| | Negative | 3 | 60 | 63 |
| Total Results | | 60 | 60 | 120 |
| % Agreement | | 95% | 100% | 97.5% |
First Sign comparison with GC/MS – Clinical Samples
| Method | | GC/MS | | Total Results |
| --- | --- | --- | --- | --- |
| First Sign | Results | Positive | Negative | |
| | Positive | 25 | 0 | 25 |
| | Negative | 1 | 14 | 15 |
| Total Results | | 26 | 14 | 40 |
| % Agreement | | 96.1% | >99% | 97.5% |
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# Opiate:
The First Sign Morphine 300 Urine Screening Test was compared to GC/MS at the claimed cut-off levels. Additionally, the performance of the first Sign was compared to marketed device, Acon MOR Rapid Test and reference method (GC/MS). A combination of clinical and spiked samples were tested. The following Tables provide a summary of test results.
All samples tested (clinical and spiked)
| | First Sign | Predicate Device | Between - 50% and cutoff | Between cutoff and + 50% | GC/MS Positive (> +50%) | % agreement with GC/MS |
| --- | --- | --- | --- | --- | --- | --- |
| Positive | 85 | 85 | 0 | 48 | 37 | 100% |
| Negative | 75 | 75 | 41 | 1 | 0 | 98% |
First Sign AMP comparison with ACON MOR 300 Rapid Test-Spike Samples
| Method | | ACON Rapid Test | | Total Results |
| --- | --- | --- | --- | --- |
| First Sign | Results | Positive | Negative | |
| | Positive | 60 | 0 | 60 |
| | Negative | 0 | 60 | 60 |
| Total Results | | 60 | 60 | 120 |
| % Agreement | | 100% | 100% | 100% |
First Sign comparison with GC/MS at cutoff 300 ng/ml - Spiked Samples
| Method | | GC/MS | | Total Results |
| --- | --- | --- | --- | --- |
| First Sign | Results | Positive | Negative | |
| | Positive | 60 | 0 | 60 |
| | Negative | 0 | 60 | 60 |
| Total Results | | 60 | 60 | 120 |
| % Agreement | | 100% | 100% | 100% |
First Sign comparison with GC/MS - Clinical Samples
| Method | | GC/MS | | Total Results |
| --- | --- | --- | --- | --- |
| First Sign | Results | Positive | Negative | |
| | Positive | 25 | 0 | 25 |
| | Negative | 1 | 14 | 15 |
| Total Results | | 26 | 14 | 40 |
| % Agreement | | 96.1% | >99% | 97.5% |
# Morphine 2000
The First Sign Amphetamine Urine Screening Test was compared to GC/MS at the claimed cut-off levels. Additionally, the performance of the first Sign was compared to marketed device, Acon MOR Rapid Test and reference method (GC/MS). A combination of clinical and spiked samples were tested. The following Tables provide a summary of test results.
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All samples tested (clinical and spiked)
| | First Sign | Predicate Device | Between – 50% and cutoff | Between cutoff and + 50% | GC/MS Positive (> +50%) | % agreement with GC/MS |
| --- | --- | --- | --- | --- | --- | --- |
| Positive | 70 | 70 | 1 | 33 | 36 | 99% |
| Negative | 90 | 90 | 61 | 0 | 0 | 100% |
First Sign comparison with ACON MOR 2000 Rapid Test-Spike Samples
| Method | | ACON MOR 2000 Rapid Test | | Total Results |
| --- | --- | --- | --- | --- |
| First Sign | Results | Positive | Negative | |
| | Positive | 60 | 0 | 60 |
| | Negative | 0 | 60 | 60 |
| Total Results | | 60 | 60 | 120 |
| % Agreement | | 100% | 100% | 100% |
First Sign comparison with GC/MS at cutoff 2000 ng/ml – Spiked Samples
| Method | | GC/MS | | Total Results |
| --- | --- | --- | --- | --- |
| First Sign | Results | Positive | Negative | |
| | Positive | 60 | 0 | 60 |
| | Negative | 0 | 60 | 60 |
| Total Results | | 60 | 60 | 120 |
| % Agreement | | 100% | 100% | 100% |
First Sign comparison with GC/MS at cutoff 2000 ng/ml– Clinical Samples
| Method | | GC/MS | | Total Results |
| --- | --- | --- | --- | --- |
| First Sign | Results | Positive | Negative | |
| | Positive | 9 | 1 | 10 |
| | Negative | 0 | 30 | 30 |
| Total Results | | 9 | 31 | 40 |
| % Agreement | | >99% | 96.8% | 97.5% |
Phencyclidine:
The First Sign Phencyclidine Urine Screening Test was compared to GC/MS at the claimed cut-off levels. Additionally, the performance of the first Sign was compared to marketed device, Acon PCP Rapid Test and reference method (GC/MS). A combination of clinical and spiked samples were tested. The following Tables provide a summary of test results.
All samples tested (clinical and spiked)
| | First Sign | Predicate Device | Between – 50% and cutoff | Between cutoff and + 50% | GC/MS Positive (> +50%) | % agreement with GC/MS |
| --- | --- | --- | --- | --- | --- | --- |
| Positive | 97 | 95 | 2 | 55 | 40 | 98% |
| Negative | 61 | 63 | 46 | 2 | 0 | 96% |
{13}
14
First Sign PCP comparison with ACON PCP Rapid Test-Spike Samples
| Method | | ACON PCP Rapid Test | | Total Results |
| --- | --- | --- | --- | --- |
| First Sign | Results | Positive | Negative | |
| | Positive | 60 | 2 | 62 |
| | Negative | 0 | 58 | 58 |
| Total Results | | 160 | 60 | 120 |
| % Agreement | | 100% | 97% | 98% |
First Sign PCP comparison with GC/MS at cutoff 25 ng/ml – Spiked Samples
| Method | | GC/MS | | Total Results |
| --- | --- | --- | --- | --- |
| First Sign | Results | Positive | Negative | |
| | Positive | 60 | 2 | 62 |
| | Negative | 0 | 56 | 58 |
| Total Results | | 60 | 60 | 120 |
| % Agreement | | 100% | 97.5% | 98% |
First Sign comparison with GC/MS at cutoff 25 ng/ml – Clinical Samples
| Method | | GC/MS | | Total Results |
| --- | --- | --- | --- | --- |
| First Sign | Results | Positive | Negative | |
| | Positive | 35 | 0 | 35 |
| | Negative | 2 | 1 | 3 |
| Total Results | | 37 | 1 | 38 |
| % Agreement | | 94.6% | >99% | 94.7% |
Marijuana:
The First Sign Marijuana Urine Screening Test was compared to GC/MS at the claimed cut-off levels. Additionally, the performance of the first Sign was compared to marketed device, Acon THC Rapid Test and reference method (GC/MS). A combination of clinical and spiked samples were tested. The following Tables provide a summary of test results.
All samples tested (clinical and spiked)
| | First Sign | Predicate Device | Between - 50% and cutoff | Between cutoff and + 50% | GC/MS Positive (> +50%) | % agreement with GC/MS |
| --- | --- | --- | --- | --- | --- | --- |
| Positive | 82 | 83 | 0 | 67 | 15 | 100% |
| Negative | 78 | 77 | 45 | 3 | 0 | 94% |
First Sign comparison with ACON THC Rapid Test-Spike Samples
| Method | | ACON THC Rapid Test | | Total Results |
| --- | --- | --- | --- | --- |
| First Sign THC | Results | Positive | Negative | |
| | Positive | 58 | 0 | 58 |
| | Negative | 1 | 61 | 62 |
| Total Results | | 59 | 61 | 120 |
| % Agreement | | 98% | 100% | 99% |
{14}
15
First Sign comparison with GC/MS at cutoff 50 ng/ml – Spiked Samples
| Method | | GC/MS | | Total Results |
| --- | --- | --- | --- | --- |
| First Sign THC | Results | Positive | Negative | |
| | Positive | 58 | 0 | 57 |
| | Negative | 2 | 60 | 63 |
| Total Results | | 60 | 60 | 120 |
| % Agreement | | 98% | 100% | 98% |
First Sign comparison with GC/MS at cutoff 50 ng/ml– Clinical Samples
| Method | | GC/MS | | Total Results |
| --- | --- | --- | --- | --- |
| First Sign THC | Results | Positive | Negative | |
| | Positive | 24 | 0 | 24 |
| | Negative | 1 | 15 | 15 |
| Total Results | | 25 | 15 | 40 |
| % Agreement | | 96.0% | >99% | 97.5% |
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 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.
M. Conclusion:
The submitted information in this premarket notification is complete and supports a substantial equivalent 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.