URiSCAN 10ACR urine strips on the URiSCAN Optima urine analyzer
Applicant
Yd Diagnostics Corporation
Product Code
JFY · Clinical Chemistry
Decision Date
Dec 10, 2018
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 862.1225
Device Class
Class 2
Indications for Use
URiSCAN 10ACR urine strips on the URiSCAN Optima urine analyzer are intended for the in vitro qualitative and semi-quantitative measurement of the following parameters: blood, ketones (acetoacetic acid), protein, nitrite, glucose, pH, SG (specific gravity), leucocytes, albumin and creatinine and the determination of the ACR (albumin creatinine ratio). These measurements are useful in the evaluation of renal, urinary and metabolic disorders. The URiSCAN Optima urine analyzer is intended to read the color change on the test pads found on the URiSCAN 10ACR urine strips and to display and print the results. The URiSCAN 10ACR urine strips include test pads for the following parameters: blood, ketones (acetoacetic acid), protein, nitrite, glucose, pH, SG (specific gravity), leucocytes, albumin and creatinine, and can only be read on the URiSCAN Optima urine analyzer. The URiSCAN 10ACR urine strips on the URiSCAN Optima urine analyzer are intended for prescription use only, in clinical laboratory and in point-of-care settings.
Device Story
System consists of URiSCAN 10ACR reagent strips and URiSCAN Optima urine analyzer. Strips contain chemical test pads that undergo color changes upon reaction with urine analytes. Analyzer uses optical sensors to detect color changes on test pads; processes signals to determine qualitative/semi-quantitative results for blood, ketones, protein, nitrite, glucose, pH, SG, leucocytes, albumin, and ACR. Used in clinical labs and point-of-care settings by healthcare professionals. Results displayed and printed for clinical review. Assists in diagnosis/monitoring of renal, urinary, and metabolic conditions.
Clinical Evidence
No clinical trials performed. Bench testing only. Precision/reproducibility studies conducted at three POC sites using 407 natural patient samples compared against predicate devices. Results showed high agreement (exact agreement and within one block) across all analytes. No clinical sensitivity/specificity data required.
Technological Characteristics
System comprises reagent test strips and an optical reflectance-based urine analyzer. Analyte detection via colorimetric reaction on test pads. Analyzer utilizes optical sensors to measure reflectance/color change. Connectivity includes display and print output capabilities. Software-controlled analysis of test pad color intensity.
Indications for Use
Indicated for in vitro qualitative and semi-quantitative measurement of urine parameters (blood, ketones, protein, nitrite, glucose, pH, SG, leucocytes, albumin) and albumin-creatinine ratio (ACR) in clinical laboratory and point-of-care settings for evaluation of renal, urinary, and metabolic disorders. Prescription use only.
Regulatory Classification
Identification
A creatinine test system is a device intended to measure creatinine levels in plasma and urine. Creatinine measurements are used in the diagnosis and treatment of renal diseases, in monitoring renal dialysis, and as a calculation basis for measuring other urine analytes.
Submission Summary (Full Text)
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Food and Drug Administration
10903 New Hampshire Avenue
Silver Spring, MD 20993-0002
www.fda.gov
# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY
ASSAY AND INSTRUMENT
I 510(k) Number:
k182038
II Applicant:
YD Diagnostics Corporation
III Proprietary and Established Names:
URiSCAN 10ACR urine strips on the URiSCAN Optima urine analyzer
IV Regulatory Information:
| Product Code(s) | Classification | Regulation Section | Panel |
| --- | --- | --- | --- |
| JFY | Class II | 21 CFR 862.1225 - Creatinine test System | Clinical Chemistry |
| JIL | Class II | 21 CFR 862.1340 - Urinary glucose (nonquantitative) test system | Clinical Chemistry |
| JIO | Class II | 21 CFR 864.6550 - Occult blood test | Hematology |
| LJX | Class I | 21 CFR 864.7675 - Leukocyte peroxidase test | Hematology |
| JIR | Class I | 21 CFR 862.1645 - Urinary protein or albumin (nonquantitative) test system | Clinical Chemistry |
| JMT | Class I | 21 CFR 862.1510 - Nitrite (nonquantitative) test system | Clinical Chemistry |
| CEN | Class I | 21 CFR 862.1550 - Urinary pH (nonquantitative) test system | Clinical Chemistry |
| JRE | Class I | 21 CFR 862.2800 - Refractometer for clinical use | Clinical Chemistry |
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| Product Code(s) | Classification | Regulation Section | Panel |
| --- | --- | --- | --- |
| JIN | Class I | 21 CFR 862.1435 - Ketones (nonquantitative) test system | Clinical Chemistry |
| KQO | Class I | 21 CFR 862.2900 Automated urinalysis system | Clinical Chemistry |
V Submission/Device Overview:
A Purpose for Submission: New Device
B Measurand: Measurement of the following analytes in urine: blood, ketones (acetoacetic acid), protein, nitrite, glucose, pH, SG (specific gravity), leucocytes, albumin and creatinine.
C Type of Test: Qualitative and semi-quantitative urinalysis
VI Intended Use/Indications for Use:
A Intended Use(s): See indications for use statement below
B Indication(s) for Use:
URiSCAN 10ACR urine strips on the URiSCAN Optima urine analyzer are intended for the in vitro qualitative and semi-quantitative measurement of the following parameters: blood, ketones (acetoacetic acid), protein, nitrite, glucose, pH, SG (specific gravity), leucocytes, albumin and creatinine and the determination of the ACR (albumin creatinine ratio). These measurements are useful in the evaluation of renal, urinary and metabolic disorders.
The URiSCAN Optima urine analyzer is intended to read the color change on the test pads found on the URiSCAN 10ACR urine strips and to display and print the results.
The URiSCAN 10ACR urine strips include test pads for the following parameters: blood, ketones (acetoacetic acid), protein, nitrite, glucose, pH, SG (specific gravity), leucocytes, albumin and creatinine, and can only be read on the URiSCAN Optima urine analyzer.
The URiSCAN 10ACR urine strips on the URiSCAN Optima urine analyzer are intended for prescription use only, in clinical laboratory and in point-of-care settings.
C Special Conditions for Use Statement(s):
Rx - For Prescription Use Only
For in vitro diagnostic use only
Strips are not for visual read
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D Special Instrument Requirements:
URiSCAN Optima urine analyzer
VII Device Description:
A Device Description:
The URiSCAN 10ACR urine strips are conventional urine dipsticks that must be read on the URiSCAN Optima urine analyzer. The URiSCAN 10ACR urine strip is a plastic strip with ten reagent pads affixed for the determination of blood, ketones, protein, nitrite, glucose, pH, specific gravity, leucocytes, albumin, and creatinine in urine; the ACR (albumin:creatinine ratio) is a calculated value. Once urine is absorbed into each reagent pad of the urine test strip, the subsequent chemical and enzymatic reactions will change the color of the reagent pads accordingly. The degree of color change will be proportional to the concentrations of each element in urine.
The URiSCAN Optima urine analyzer measures and indicates the extent of color change of the reagent pads. The URiSCAN Optima urine analyzer reports qualitative and semi-quantitative results on a liquid crystal display that can be printed on the analyzer's internal printer and transferred to a host computer, if desired.
B Principle of Operation:
Blood: The test is based on the pseudo-peroxidase reaction of hemoglobin. Oxygen is released, oxidizing tetramethylbenzidine, producing a color change from yellow through green to dark blue.
Ketones: This test is based on the reaction of acetoacetic acid with nitroprusside, resulting in a color change from buff-pink to maroon.
Protein: This test is based on the color change of the indicator tetrabromphenol blue type in the presence of protein, producing a color change from yellow/green to blue.
Nitrite: This test is based on the conversion of nitrate to nitrite by the action of Gram negative bacteria in urine. At the acidic pH of the reagent area, nitrite in the urine reacts with sulfanilamide to form a diazonium compound. The diazonium compound couples with an aromatic compound to produce a pink color.
Glucose: This test is based on a double sequential enzyme reaction. One enzyme, glucose oxidase, catalyzes the formation of gluconic acid and hydrogen peroxide from the oxidation of glucose. A second enzyme, peroxidase, catalyzes the reaction of hydrogen peroxide with a potassium iodide chromogen to product colors ranging from blue through green to brown.
pH: This test is based on a double indicator (methyl red and bromothymol blue) principle that gives a broad range of colors, from orange, yellow, green, and blue.
Specific Gravity: This test is based on the pKa change of pretreated polymeric ion exchange resin in relation to ionic concentration. In the presence of an indicator, colors range from blue-green in urine of low ionic concentration through green and yellow-green in urines of increasing ionic concentration.
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Leukocytes: This test is based on the color change ranging from beige to pink that occurs when esterase is hydrolyzed then coupled with diazonium salt to form a colored azo dye.
Albumin: This test is based on albumin binding to sulfonephthalein dye, producing a color ranging from pale green to aqua blue.
Creatinine: This test is based on the peroxidase-like activity of a copper creatinine complex that catalyzes the reaction of hydroperoxide and chromogen, producing color change from yellow through green to blue.
C Instrument Description Information:
| Modes of Operation | Yes | No |
| --- | --- | --- |
| Does the applicant’s device contain the ability to transmit data to a computer, webserver, or mobile device? | ☐ | ☑ |
| Does the applicant’s device transmit data to a computer, webserver, or mobile device using wireless transmission? | ☐ | ☑ |
| Software | | |
| FDA has reviewed applicant’s Hazard Analysis and software development processes for this line of product types: | ☑ | ☐ |
1. Instrument Name:
URiSCAN Optima urine analyzer
2. Specimen Identification:
Each sample’s identification can be entered prior to testing by way of an alpha-numeric keyboard and optional barcode reader.
3. Specimen Sampling and Handling:
Room temperature urine samples should be measured within 2 hours.
4. Calibration:
The URiSCAN Optima urine analyzer calibrates automatically before each measurement.
5. Quality Control:
The sponsor recommends the use of commercially available controls intended for monitoring urine strip results at two levels (negative/low and positive).
VIII Substantial Equivalence Information:
A Predicate Device Name(s):
URiSCAN urine strips on the URiSCAN Optima II urine analyzer, URiSCAN 2ACR urine strips on the URiSCAN Optima urine analyzer
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B Predicate 510(k) Number(s):
k050801, k141874
C Comparison with Predicate:
| Device & Predicate Devices: | k182038
URiSCAN 10ACR urine strips on the URiSCAN Optima urine analyzer | k141874
URiSCAN 2ACR urine strips on the URiSCAN Optima urine analyzer | k050801
URiSCAN urine strips on the URiSCAN Optima II urine analyzer |
| --- | --- | --- | --- |
| Intended Use | for the in vitro qualitative and semi-quantitative measurement of the following parameters: blood, ketones (acetoacetic acid), protein, nitrite, glucose, pH, SG (specific gravity), leucocytes, albumin, creatinine, and ACR (albumin creatinine ratio). | for the in vitro semi-quantitative measurement of the following parameters: Albumin, Creatinine, ACR (Albumin Creatinine Ratio) | for the in vitro qualitative and semi-quantitative measurement of urine parameters, specifically urobilinogen, glucose, ketones (acetoacetic acid), bilirubin, protein, nitrite, pH, blood, specific gravity, and leucocytes. |
| Analytes measured | blood, ketones (acetoacetic acid), protein, nitrite, glucose, pH, SG (specific gravity), leucocytes, albumin, creatinine. | Albumin, Creatinine | urobilinogen, glucose, ketones (acetoacetic acid), bilirubin, protein, nitrite, pH, blood, specific gravity, and leucocytes. |
| Specimen | Urine | Same | Same |
| Result Type | Qualitative and Semi-quantitative | Semi-quantitative | Qualitative and Semi-quantitative |
IX Standards/Guidance Documents Referenced:
Clinical and Laboratory Standards Institute (CLSI) EP05-A2, Evaluation of Precision of Quantitative Measurement Procedures; Approved Guideline - 2nd Ed
X Performance Characteristics (if/when applicable):
The URiSCAN 10ACR urine strips' test pads are a new combination of some of the test pads previously cleared in k050801 and k141874. There is no change to the chemistries or basic manufacturing processes of the pads.
A Analytical Performance:
1. Precision/Reproducibility:
Within-run and within-day precision studies were performed at three point-of-care (POC) sites by three representative operators per site. The study included commercially available MAS Urinalysis Controls (Level 1 and Level 2) and 11 spiked urine pools to cover various
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concentrations per analyte. Precision testing was done in accordance with the recommendations in the CLSI guideline EP5-A2.
Within-run precision: These studies used three different URiSCAN Optima urine analyzers and three different lots of URiSCAN 10ACR urine strips. Each of the three operators per site tested each control level and each urine pool in ten replicates within a run (N=90, 30 results per analyte x 3 sites).
Within-day precision: These studies used three different URiSCAN Optima urine analyzers and three different lots of URiSCAN 10ACR urine strips. Each of the three operators per site tested each control level and each urine pool once per day for 10 days at each site (N=90, 30 results per analyte x 3 sites).
| Level 1 quality control | | | | | |
| --- | --- | --- | --- | --- | --- |
| | Exact value | Within-run (N=90) | | Within-day (N=90) | |
| | | Agreement within same grade | Agreement within ± 1 grade | Agreement within same grade | Agreement within ± 1 grade |
| Leucocytes | – | 100% | 100% | 100% | 100% |
| Nitrite | – | 100% | 100% | 100% | 100% |
| Blood | – | 100% | 100% | 100% | 100% |
| pH | 5.5 | 100% | 100% | 100% | 100% |
| Creatinine | ± | 100% | 100% | 100% | 100% |
| SG | 1.015 | 100% | 100% | 100% | 100% |
| Ketones | – | 100% | 100% | 100% | 100% |
| Microalbumin | – | 100% | 100% | 100% | 100% |
| Protein | – | 100% | 100% | 100% | 100% |
| Glucose | – | 100% | 100% | 100% | 100% |
| ACR | <30mg/g | 100% | 100% | 100% | 100% |
| Level 2 quality control | | | | | |
| --- | --- | --- | --- | --- | --- |
| Analyte | Exact value | Within-run (N=90) | | Within-day (N=90) | |
| | | Agreement within same grade | Agreement within ± 1 grade | Agreement within same grade | Agreement within ± 1 grade |
| Leucocytes | 2+ | 100% | 100% | 100% | 100% |
| Nitrite | + | 100% | 100% | 100% | 100% |
| Blood | 3+ | 100% | 100% | 100% | 100% |
| pH | 7.0 | 100% | 100% | 100% | 100% |
| Creatinine | 4+ | 100% | 100% | 100% | 100% |
| SG | 1.020 | 100% | 100% | 100% | 100% |
| Ketones | 3+ | 100% | 100% | 100% | 100% |
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| Level 2 quality control | | | | | |
| --- | --- | --- | --- | --- | --- |
| Analyte | Exact value | Within-run (N=90) | | Within-day (N=90) | |
| | | Agreement within same grade | Agreement within ± 1 grade | Agreement within same grade | Agreement within ± 1 grade |
| Microalbumin | 3+ | 100% | 100% | 100% | 100% |
| Protein | 4+ | 100% | 100% | 100% | 100% |
| Glucose | 1+ | 100% | 100% | 100% | 100% |
| ACR | >300 mg/g | 100% | 100% | 100% | 100% |
| Sample | Analyte | Exact value | Within-run (N=90) | | Within-day (N=90) | |
| --- | --- | --- | --- | --- | --- | --- |
| | | | Agreement within same | Agreement within ± 1 grade | Agreement within same grade | Agreement within ± 1 grade |
| Pool 1 | ALB | - | 100% | 100% | 100% | 100% |
| | CRE | ± | 100% | 100% | 100% | 100% |
| | ACR | <30 mg/g | 100% | 100% | 100% | 100% |
| Pool 2 | ALB | + | 100% | 100% | 100% | 100% |
| | CRE | + | 100% | 100% | 100% | 100% |
| | ACR | 30-300 mg/g | 100% | 100% | 100% | 100% |
| Pool 3 | ALB | 2+ | 100% | 100% | 100% | 100% |
| | CRE | 2+ | 100% | 100% | 100% | 100% |
| | ACR | 30-300 mg/g | 100% | 100% | 100% | 100% |
| Pool 4 | ALB | 3+ | 100% | 100% | 100% | 100% |
| | CRE | 3+ | 100% | 100% | 100% | 100% |
| | ACR | 30-300 mg/g | 100% | 100% | 100% | 100% |
| Pool 5 | ALB | - | 100% | 100% | 100% | 100% |
| | CRE | 4+ | 100% | 100% | 100% | 100% |
| | ACR | <30 mg/g | 100% | 100% | 100% | 100% |
| Pool 6 | Leucocyte | - | 100% | 100% | 100% | 100% |
| | Nitrite | - | 100% | 100% | 100% | 100% |
| | Blood | - | 100% | 100% | 100% | 100% |
| | pH | 5 | 100% | 100% | 100% | 100% |
| | SG | 1.000 | 100% | 100% | 100% | 100% |
| | Ketones | - | 100% | 100% | 100% | 100% |
| | Protein | - | 100% | 100% | 100% | 100% |
| | Glucose | - | 100% | 100% | 100% | 100% |
| | Leucocyte | ± | 100% | 100% | 100% | 100% |
| Pool 7 | Nitrite | + | 100% | 100% | 100% | 100% |
| | Blood | ± | 100% | 100% | 100% | 100% |
| | pH | 6 | 100% | 100% | 100% | 100% |
| | SG | 1.005 | 100% | 100% | 100% | 100% |
| | Ketones | ± | 100% | 100% | 100% | 100% |
| | Protein | ± | 100% | 100% | 100% | 100% |
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| Sample | Analyte | Exact value | Within-run (N=90) | | Within-day (N=90) | |
| --- | --- | --- | --- | --- | --- | --- |
| | | | Agreement within same | Agreement within ± 1 grade | Agreement within same grade | Agreement within ± 1 grade |
| | Glucose | ± | 96.7% | 100% | 100% | 100% |
| Pool 8 | Leucocyte | + | 100% | 100% | 100% | 100% |
| | Nitrite | - | 100% | 100% | 100% | 100% |
| | Blood | + | 100% | 100% | 100% | 100% |
| | pH | 7 | 100% | 100% | 100% | 100% |
| | SG | 1.010 | 100% | 100% | 100% | 100% |
| | Ketones | + | 100% | 100% | 100% | 100% |
| | Protein | + | 100% | 100% | 100% | 100% |
| | Glucose | + | 93.3% | 100% | 96.7% | 100% |
| Pool 9 | Leucocyte | 2+ | 100% | 100% | 100% | 100% |
| | Nitrite | - | 100% | 100% | 100% | 100% |
| | Blood | 2+ | 100% | 100% | 100% | 100% |
| | pH | 8 | 100% | 100% | 100% | 100% |
| | SG | 1.020 | 100% | 100% | 100% | 100% |
| | Ketones | 2+ | 100% | 100% | 100% | 100% |
| | Protein | 2+ | 100% | 100% | 100% | 100% |
| | Glucose | 2+ | 96.7% | 100% | 93.3% | 100% |
| Pool 10 | Leucocyte | 3+ | 100% | 100% | 100% | 100% |
| | Nitrite | - | 100% | 100% | 100% | 100% |
| | Blood | 3+ | 100% | 100% | 100% | 100% |
| | pH | 9 | 100% | 100% | 100% | 100% |
| | SG | 1.025 | 100% | 100% | 100% | 100% |
| | Ketones | 3+ | 100% | 100% | 100% | 100% |
| | Protein | 3+ | 100% | 100% | 100% | 100% |
| | Glucose | 3+ | 93.3% | 100% | 93.3% | 100% |
| Pool 11 | Leucocytes | - | 100% | 100% | 100% | 100% |
| | Nitrite | - | 100% | 100% | 100% | 100% |
| | Blood | - | 100% | 100% | 100% | 100% |
| | SG | 1.030 | 100% | 100% | 100% | 100% |
| | Ketones | - | 100% | 100% | 100% | 100% |
| | Protein | 4+ | 100% | 100% | 100% | 100% |
| | Glucose | 4+ | 100% | 100% | 100% | 100% |
2. Linearity:
The test pads are unchanged. The claims remain the same as those established in k050801 and k141874.
3. Analytical Specificity/Interference:
The test pads are unchanged. The claims remain the same as those established in k050801 and k141874.
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4. Assay Reportable Range:
The test pads are unchanged. The claims remain the same as those established in k050801 and k141874.
5. Traceability, Stability, Expected Values (Controls, Calibrators, or Methods):
The test pads are unchanged. The claims remain the same as those established in k050801 and k141874.
6. Detection Limit:
The test pads are unchanged. The claims remain the same as those established in k050801 and k141874.
7. Assay Cut-Off:
Not applicable.
8. Carry over study:
Studies were performed to evaluate the effect of run-over from adjacent pads using 43 urine samples covering up to six concentrations for each analyte. The strips were dipped into a urine sample, and then upon removal, held vertically in either upwards or downward directions for 5, 10, 15, and 20 seconds to allow the sample to run over adjacent pads. Testing was performed with three lots of strips on three analyzers, in replicates of three.
The results support the claim that if the test strip is handled appropriately according to the package insert (dip into the urine for 1 second, blot strip immediately after removing strip from urine cup and place on the instrument's strip holder without delay), the results are not impacted. If excessive urine remains on the strip because of improper test procedure, then pH result may be higher than the actual value due to run over effect. The sponsor includes this information in the labeling.
B Comparison Studies:
1. Method Comparison with Predicate Device:
Method comparison studies were performed by nine representative POC operators (three operators per site) at three POC sites. A total of 407 natural patient samples were tested across the three sites: 135 samples at Site 1, 143 samples at Site 2, and 129 samples at Site 3. The operators tested fresh urine specimens with the URiSCAN 10ACR urine strips (candidate device) and the URiSCAN 2ACR urine strips (k141874) and URiSCAN urine strips (k050801), all on the URiSCAN Optima urine analyzer, in a blinded fashion. The comparisons between the candidate and predicate results are shown below:
| Albumin (N=407) | Predicate device (mg/L) | | | | |
| --- | --- | --- | --- | --- | --- |
| | | 10 | 30 | 80 | 150 |
| URiSCAN 10 ACR strip (mg/L) | 3+ | | | 6 | 79 |
| | 2+ | | 4 | 105 | 2 |
| | 1+ | | 108 | 1 | |
| | Neg. | 102 | | | |
| Total | | 102 | 112 | 112 | 81 |
| Exact agreement (%) | | 100 | 96 | 94 | 98 |
| Within One Block (%) | | 100 | 100 | 100 | 100 |
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| Creatinine (N=407) | Predicate device (mg/dL) | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | | 10 | 50 | 100 | 200 | 300 |
| URiSCAN 10 ACR strip (mg/dL) | 4+ | | | | 3 | 42 |
| | 3+ | | | 2 | 75 | 2 |
| | 2+ | | 1 | 98 | 1 | |
| | 1+ | 3 | 109 | 3 | | |
| | + - | 68 | | | | |
| Total | | 71 | 110 | 103 | 79 | 44 |
| Exact agreement (%) | | 96 | 99 | 95 | 95 | 95 |
| Within One Block (%) | | 100 | 100 | 100 | 100 | 100 |
| ACR (N=407) | Predicate device (mg/g) | | | |
| --- | --- | --- | --- | --- |
| | | <30 | 30-300 | >300 |
| URiSCAN 10 ACR strip (mg/g) | >300 | | 2 | 61 |
| | 30-300 | 2 | 199 | 2 |
| | <30 | 137 | 4 | |
| Total | | 139 | 205 | 63 |
| Exact agreement (%) | | 99 | 97 | 97 |
| Within One Block (%) | | 100 | 100 | 100 |
| Blood (N=407) | Predicate device (RBC/uL) | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | | Neg. | +- | 1+ | 2+ | 3+ |
| URiSCAN 10 ACR strip (RBC/uL) | 3+ | | | | 1 | 43 |
| | 2+ | | | | 34 | 1 |
| | 1+ | | 2 | 40 | 1 | |
| | +- | 4 | 46 | 2 | | |
| | Neg. | 232 | 1 | | | |
| Total | | 236 | 49 | 42 | 36 | 44 |
| Exact agreement (%) | | 98 | 94 | 95 | 94 | 98 |
| Within One Block (%) | | 100 | 100 | 100 | 100 | 100 |
| Ketones (N=407) | Predicate device (mg/dL) | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | | Neg. | +- | 1+ | 2+ | 3+ |
| URiSCAN 10 ACR strip (mg/dL) | 3+ | | | | 1 | 16 |
| | 2+ | | | | 29 | |
| | 1+ | | 1 | 23 | 2 | |
| | +- | 4 | 32 | | | |
| | Neg. | 297 | 2 | | | |
| Total | | 301 | 35 | 23 | 32 | 16 |
| Exact agreement (%) | | 99 | 91 | 100 | 91 | 100 |
| Within One Block (%) | | 100 | 100 | 100 | 100 | 100 |
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| Protein (N=407) | Predicate device (mg/dL) | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | | Neg | +- | 1+ | 2+ | 3+ | 4+ |
| URiSCAN 10 ACR strip (mg/dL) | 4+ | | | | | | 10 |
| | 3+ | | | | 2 | 25 | |
| | 2+ | | | 1 | 44 | 1 | |
| | 1+ | | | 46 | 1 | | |
| | +- | 2 | 45 | 2 | | | |
| | Neg. | 225 | 3 | | | | |
| Total | | 227 | 48 | 49 | 47 | 26 | 10 |
| Exact agreement (%) | | 99 | 94 | 94 | 94 | 96 | 100 |
| Within One Block (%) | | 100 | 100 | 100 | 100 | 100 | 100 |
| Nitrite (N=407) | Predicate device (mg/dL) | | |
| --- | --- | --- | --- |
| | | Neg. | Pos. |
| URiSCAN 10 ACR strip (mg/dL) | Pos. | 1 | 91 |
| | Neg. | 315 | |
| Total | | 316 | 91 |
| Exact agreement (%) | | 99.7 | 100 |
| Within One Block (%) | | 100 | 100 |
| Glucose (N=407) | Predicate device (mg/dL) | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | | Neg | +- | 1+ | 2+ | 3+ | 4+ |
| URiSCAN 10 ACR strip (mg/dL) | 4+ | | | | | | 12 |
| | 3+ | | | | 1 | 23 | |
| | 2+ | | | 1 | 27 | 1 | |
| | 1+ | | 1 | 37 | 1 | | |
| | +- | 4 | 30 | 3 | | | |
| | Neg. | 265 | 1 | | | | |
| Total | | 269 | 32 | 41 | 29 | 24 | 12 |
| Exact agreement (%) | | 99 | 94 | 90 | 93 | 96 | 100 |
| Within One Block (%) | | 100 | 100 | 100 | 100 | 100 | 100 |
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| pH (N=407) | Predicate device | | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | 5.0 | 5.5 | 6.0 | 6.5 | 7.0 | 7.5 | 8.0 | 8.5 | 9.0 |
| URiSCAN 10 ACR strip | 9.0 | | | | | | | | | 8 |
| | 8.5 | | | | | | | | 12 | |
| | 8.0 | | | | | | | 24 | | |
| | 7.5 | | | | | 2 | 30 | 1 | | |
| | 7.0 | | | | 1 | 41 | 2 | | | |
| | 6.5 | | | 3 | 57 | 1 | | | | |
| | 6.0 | | 1 | 60 | 1 | | | | | |
| | 5.5 | 3 | 92 | 1 | | | | | | |
| | 5.0 | 64 | 3 | | | | | | | |
| Total | | 67 | 96 | 64 | 59 | 44 | 32 | 25 | 12 | 8 |
| Exact agreement (%) | | 96 | 96 | 94 | 97 | 93 | 94 | 96 | 100 | 100 |
| Within One Block (%) | | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |
| SG (N=407) | Predicate device | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | | <=1.005 | 1.010 | 1.015 | 1.020 | 1.025 | 1.030=< |
| URiSCAN 10 ACR strip | 1.030=< | | | | | 1 | 42 |
| | 1.025 | | | | 2 | 66 | |
| | 1.020 | | | 3 | 84 | 3 | |
| | 1.015 | | 3 | 88 | 3 | | |
| | 1.010 | 1 | 74 | 2 | | | |
| | <=1.005 | 33 | 2 | | | | |
| Total | | 34 | 79 | 93 | 89 | 70 | 42 |
| Exact agreement (%) | | 97 | 94 | 95 | 94 | 94 | 100 |
| Within One Block (%) | | 100 | 100 | 100 | 100 | 100 | 100 |
| Leucocytes (N=407) | Predicate device (WBC/uL) | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| | | Neg. | +- | 1+ | 2+ | 3+ |
| URiSCAN 10 ACR strip (WBC/uL) | 3+ | | | | 1 | 30 |
| | 2+ | | | | 32 | |
| | 1+ | | 2 | 41 | 1 | |
| | +- | 4 | 39 | 3 | | |
| | Neg. | 253 | 1 | | | |
| Total | | 257 | 42 | 44 | 34 | 30 |
| Exact agreement (%) | | 98 | 93 | 93 | 94 | 100 |
| Within One Block (%) | | 100 | 100 | 100 | 100 | 100 |
2. Matrix Comparison:
Not applicable. Urine is the only sample matrix.
C Clinical Studies:
1. Clinical Sensitivity:
Not applicable
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2. Clinical Specificity:
Not applicable
3. Other Clinical Supportive Data (When 1. and 2. Are Not Applicable):
Not applicable
D Clinical Cut-Off:
Not applicable
E Expected Values/Reference Range:
- Blood: Normally, no hemoglobin is detectable in urine.
- Ketones: Ketones should not be detected in normal urine.
- Protein: Normally less than 10-20mg/dL (150 mg/day) of protein in the urine is not considered pathological.
- Nitrite: Negative.
- Glucose: Glucose is typically not found in urine unless the serum glucose exceeds a certain level (e.g. 180 mg/dL) or at times during pregnancy.
- pH: 5~8, normal kidneys can produce urine with pH from 4.5~8.2, but with ordinary diet, urine pH is about 6.0.
- S.G. (specific Gravity): 1.003~1.029, Adult on normal fluid intake. S.G. may decrease with increasing age.
- Leucocytes: Normal urine ordinarily yield negative results.
- Albumin: Albumin is normally present in urine at concentrations of less than 20 mg/L. Moderately increased albuminuria is defined as an albumin excretion rate of 30 ~ 299 mg/24 hours. Urinary albumin excretions can be temporarily elevated by exercise, urinary tract infections, and acute illness with fever.
- Creatinine: Creatinine is normally present in urine. There are no established reference values for creatinine in the urine however can be used to normalize other analytes found in a random urine sample at concentrations of 10 to 300 mg/dL (0.9 ~ 26.5 mmol/L).
- Albumin to Creatinine Ratio: Albumin to Creatinine Ratio is normally at less than 30 mg albumin/g creatinine (3.4 mg albumin /mmol creatinine). Moderately increased albuminuria is indicated at a ratio result of 30 ~ 300 mg/g (3.4 ~ 33.9 mg/mmol) and severely increased albuminuria at a ratio result of > 300 mg/g (> 33.9 mg/mmol).
Based on the following references:
- Position Statement: Diabetic Nephropathy. Diabetes Care 20: S24-S27; 1997.
- Burtis, C.A. and Ashwood, E.R.: Tietz Textbook of Clinical Chemistry, 3rd ed. Philadelphia: Saunders; 1999; pp. 483-484.
- Mangili, R. et al.: Prevalence of Hypertension and Microalbuminuria in Adult Type 1 (Insulin Dependent) Diabetic Patients without Penal Failure in Italy – Validation of Screening techniques to detect microalbuminuria Acta Diabetol. 29: 156-166; 1992.
- American Diabetes Association, Clinical Practice Recommendations, Diabetes Care, Vol. 31, Suppl. 1, January 2008.
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XI Proposed Labeling:
The labeling supports the finding of substantial equivalence for this device.
XII Conclusion:
The submitted information in this premarket notification is complete and supports a substantial equivalence decision.
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Two short videos show you everything — or skip straight to the written tutorial if you'd rather read. You can reopen this any time from the Tutorial button in the top bar.
Part 1 — Search, results, and everyday workflows 16 min
Part 2 — Embeddings: the galaxy map 3 min
1. Search: exact and fuzzy
Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
Use the checkboxes above the results to narrow: SaMD keeps only software-only devices, AI / ML keeps only devices with AI.
Exact vs. fuzzy search: what's the difference?
Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.