The cobas u 411 urine analyzer is a semi-automated, benchtop analyzer which is designed to read the Chemstrip 10 UA (Combur' Test M) test strips for urinalysis for the measurement of bilirubin, blood, glucose, ketone, leukocytes, nitrite, pH, protein, specific gravity, urobilinogen and color (if selected). These measurements are useful in the evaluation of renal, urinary and metabolic disorders. Tests performed using the cobas u411 are intended for prescription, in vitro diagnostic use only.
Device Story
The cobas u 411 is a semi-automated, benchtop urinalysis system operated by healthcare professionals in clinical settings. It processes Chemstrip 10 UA reagent strips after manual immersion in urine samples. The device utilizes reflectance photometry with LED light sources (620nm, 555nm, 470nm) and 11 wide-range photo sensors to measure color changes on the test pads. It includes an intrinsic color compensation feature using a non-impregnated area of the strip. The system provides semi-quantitative results for 10 analytes plus color, which are displayed or output via optional formats. Results assist clinicians in evaluating renal, urinary, and metabolic disorders. Data management includes result memory and USB-based storage.
Clinical Evidence
Bench testing only. The device was validated through comparative performance testing against the predicate Chemstrip Urine Analyzer, confirming equivalent reflectance photometry measurements and analytical performance for all 10 urine analytes.
Technological Characteristics
Reflectance photometry; light source: LEDs (620nm, 555nm, 470nm); detector: 11 wide-range photo sensors. Bench-top form factor. Connectivity: USB for data storage, barcode scanner interface. Calibration: gray plastic calibration strip with known reflectance values. Software: embedded firmware for signal processing and result conversion.
Indications for Use
Indicated for prescription, in vitro diagnostic use in clinical settings to measure urine analytes (bilirubin, blood, glucose, ketone, leukocytes, nitrite, pH, protein, specific gravity, urobilinogen, and color) to aid in the evaluation of renal, urinary, and metabolic disorders.
Regulatory Classification
Identification
An automated urinalysis system is a device intended to measure certain of the physical properties and chemical constituents of urine by procedures that duplicate manual urinalysis systems. This device is used in conjunction with certain materials to measure a variety of urinary analytes.
Predicate Devices
Roche Chemstrip Urine Analyzer (k921087)
Submission Summary (Full Text)
{0}
1
# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY ASSAY AND INSTRUMENT COMBINATION TEMPLATE
A. 510(k) Number:
k093555
B. Purpose for Submission:
New submission to add the Cobas u 411 Urine Analyzer for use with the Chemstrip 10 UA test strip k896454.
C. Measurand:
Urine pH, leukocytes, nitrite, protein, glucose, ketone, urobilinogen, bilirubin, blood, specific gravity and optional urine color
D. Type of Test:
Qualitative and semi-quantitative measurements based on reflectance photometry
E. Applicant:
Roche Diagnostics Corporation
F. Proprietary and Established Names:
Cobas u 411 Test System
G. Regulatory Information:
| Classification Name | Product Code | Device Class | Regulation Number |
| --- | --- | --- | --- |
| Urinary glucose (non-quantitative) test system | JIL | II | 21 CFR§862.1340 |
| Occult blood test | JIO | II | 21 CFR§864.6550 |
| Urinary urobilinogen (non-quantitative) test system | CDM | I | 21 CFR§862.1785 |
| Urinary bilirubin and its conjugates (non-quantitative) test system | JJB | I | 21 CFR§862.1115 |
| Ketones (non-quantitative test system) | JIN | I | 21 CFR§862.1435 |
| Urinary protein or albumin (non-quantitative) test system | JIR | I | 21 CFR§862.1645 |
{1}
| Nitrite (non-quantitative) test system | JMT | I | 21 CFR§862.1510 |
| --- | --- | --- | --- |
| Leukocyte peroxidase test | LJX | I | 21 CFR§864.7675 |
| Urinary pH (non-quantitative) test system | CEN | I | 21 CFR§862.1550 |
| Specific Gravity | JRE | I | 21 CFR§862.2800 |
| Automated Urinalysis System | KQO | I | 21 CFR§862.2900 |
Panel:
(75) Clinical Chemistry and (81) Hematology
H. Intended Use:
1. Intended use(s):
See indications for use below.
2. Indication(s) for use:
The cobas u 411 urinalysis analyzer is a semi-automated, bench top analyzer which is designed to read Chemstrip 10 UA (Combur¹⁰ Test M) test strips for urinalysis for the measurement of bilirubin, blood, glucose, ketones, leukocytes, nitrite, pH, protein, specific gravity, urobilinogen and color (if selected). These measurements are useful in the evaluation of renal, urinary and metabolic disorders. These measurements are useful in the evaluation of renal, urinary and metabolic disorders. Tests performed using the cobas u411 are intended for prescription, in vitro diagnostic use only.
3. Special conditions for use statement(s):
Prescription use only
4. Special instrument requirements:
Cobas u 411 urine analyzer
I. Device Description:
The cobas u 411 is a semiautomatic urinalysis system intended for in vitro qualitative or semi-quantitative determination of urine analytes, including specific gravity, (SG), pH, leukocytes, nitrite, protein, glucose, ketones, urobilinogen, bilirubin, erythrocytes, and color (if selected) using the Chemstrip 10 UA test strips (k896454).
The functions of the cobas u 411 analyzer include:
- Sample identification (with optional barcode scanner)
- Controlled incubation period
{2}
- Photometric measurements
Result memory
- Optional formats for data output
# J. Substantial Equivalence Information:
1. Predicate device name(s): Roche Chemstrip Urine Analyzer
2. Predicate 510(k) number(s): k921087
3. Comparison with predicate:
| Similarities | | |
| --- | --- | --- |
| Item | Cobas u411 urinalysis test system (candidate device) | Chemstrip Urine Analyzer (predicate device) k921087 |
| Intended use/Indications for use | A semi-automated analyzer which is designed to read test strips for urinalysis for the measurement of bilirubin, blood, glucose, ketones, leukocytes, nitrite, pH, protein, specific gravity, and urobilinogen. These measurements are useful in the evaluation of renal, urinary and metabolic disorders. The device is for prescription in vitro diagnostic use only. | Same |
| Analyzer Technology | Reflectance Photometry | Same |
| Light Source | LEDs | Same |
| Reagent Strip | Chemstrip 10 UA test strip | Same |
| Urine application | Test strip dipped into urine sample | Same |
| Intrinsic color compensation | The test strip area not impregnated with reagents, allows instrumental compensation for the intrinsic color of the urine while testing. | Same |
| Calibration method | Calibration strips with specific reflectance values for calibration | Same |
| Differences | | |
| --- | --- | --- |
| Item | Cobas u 411 urinalysis test system (candidate device) | Chemstrip Urine Analyzer (predicate device) k921087 |
| Measuring Unit | Light Emitting Diodes (LEDs) Wavelength: Orange: 620 nm Green: 555 nm Blue: 470 nm Sensor: 11 wide range photo sensors | Light Emitting Diodes (LEDs) Wavelength: Orange: 620 nm Green: 555 nm Red: 660 nm Reader Head: 2 heads with 3 LEDs each |
| Storage Medium | USB Stick | Floppy Disks |
| Strip Detector | Two strip detectors | One strip detector |
| Urine color parameter | Optional Urine color parameter | None |
{3}
4
K. Standard/Guidance Document Referenced (if applicable):
EN ISO 14971 Medical devices-Application of risk management to medical devices (ISO14971:2007)
L. Test Principle:
Several light emitting diodes (LEDs) use a light pipe to transmit light of a defined wavelength onto the surface of all test pads. The light that hits the test pad is reflected with an intensity that is dependent upon the color of the test pads. A photodiode detector positioned directly above the test pad receives the reflected light. The photodiode detector transmits an analog electrical signal to the analog-to digital convertor, which changes the analog signal to a digital value. The computer then converts the digital value into the semiquantitative result.
M. Performance Characteristics (if/when applicable):
1. Analytical performance:
a. Precision/Reproducibility:
Repeatability (within run) precision of the cobas u 411 analyzer was evaluated at 3 clinical sites using two commercially available urine controls over various days. The controls, which were comprised of a normal and an elevated analyte sample, were tested in three individual runs. Each run was comprised of 21 replicates. The samples were split into seven aliquots with 3 measurements. In total, there were 48 runs performed and three analyzers were used in the testing.
Example: 3 runs x 21 replicates (7 aliquots/3 measurements per aliquot) x 3 analyzers= 189 replicates.
Commercial Urinalysis Control, Level 1 values confirmed with Cobas u 411
| Analyte | Mean | Unit | Results = Mean (%) | Results of ± 1 block of Mean (%) | n |
| --- | --- | --- | --- | --- | --- |
| Specific Gravity | 1.015 | - | 98 | 99 | 189 |
| pH | 6.0 | - | 94 | 100 | 189 |
| Leukocyte Esterase | Negative | Leu/μL | 100 | 100 | 189 |
| Nitrite | Negative | - | 100 | 100 | 189 |
| Protein | Negative | mg/dL | 100 | 100 | 189 |
| Glucose | Normal | mg/dL | 100 | 100 | 189 |
| Ketone | Negative | mg/dL | 100 | 100 | 189 |
| Urobilinogen | Normal | mg/dL | 100 | 100 | 189 |
| Bilirubin | Negative | mg/dL | 100 | 100 | 189 |
| Blood | Negative | Ery/μL | 100 | 100 | 189 |
| Color | Pale Yellow | - | 97 | 100 | 189 |
{4}
Commercial Urinalysis Control, Level 2 values confirmed with Cobas u 411
| Analyte | Mean | Unit | Results = Mean (%) | Results of ± 1 block of Mean (%) | n |
| --- | --- | --- | --- | --- | --- |
| Specific Gravity | 1.010 | - | 67 | 99 | 189 |
| pH | 7.0 | - | 100 | 100 | 189 |
| Leukocyte Esterase | 500 | Leu/μl | 100 | 100 | 189 |
| Nitrite | Positive | - | 100 | 100 | 189 |
| Protein | 150 | mg/dl | 97 | 100 | 189 |
| Glucose | 1000 | mg/dl | 99 | 100 | 189 |
| Ketone | 150 | mg/dl | 100 | 100 | 189 |
| Urobilinogen | 12 | mg/dl | 100 | 100 | 189 |
| Bilirubin | 6 | mg/dl | 100 | 100 | 189 |
| Blood | 250 | Ery/μl | 100 | 100 | 189 |
| Color | Brown | - | 100 | 100 | 189 |
Precision was determined using two levels of commercially available control material. Day to day precision was evaluated by testing several replicates of each control level per three instruments over multiple days.
Level 1 Normal
| Analyte | Mean | Unit | Results = Mean (%) | Results of ± 1 block of Mean (%) | n |
| --- | --- | --- | --- | --- | --- |
| Specific Gravity | 1.015 | - | 100 | 100 | 99 |
| pH | 6.0 | - | 99 | 100 | 99 |
| Leukocyte Esterase | Negative | Leu/μl | 100 | 100 | 99 |
| Nitrite | Negative | - | 100 | 100 | 99 |
| Protein | Negative | mg/dl | 100 | 100 | 99 |
| Glucose | Normal | mg/dl | 100 | 100 | 99 |
| Ketone | Negative | mg/dl | 100 | 100 | 99 |
| Urobilinogen | Normal | mg/dl | 100 | 100 | 99 |
| Bilirubin | Negative | mg/dl | 100 | 100 | 99 |
| Blood | Negative | Ery/μl | 100 | 100 | 99 |
| Color | Pale Yellow | - | 89 | 100 | 99 |
Level 2 Abnormal
| Analyte | Mean | Unit | Results = Mean (%) | Results of ± 1 block of Mean (%) | n |
| --- | --- | --- | --- | --- | --- |
| Specific Gravity | 1.005 | - | 55 | 100 | 99 |
| pH | 7.0 | - | 100 | 100 | 99 |
| Leukocyte Esterase | 500 | Leu/μl | 100 | 100 | 99 |
| Nitrite | Positive | - | 100 | 100 | 99 |
| Protein | 150 | mg/dl | 94 | 100 | 99 |
{5}
6
| Glucose | 1000 | mg/dl | 100 | 100 | 99 |
| --- | --- | --- | --- | --- | --- |
| Ketone | 150 | mg/dl | 100 | 100 | 99 |
| Urobilinogen | 12 | mg/dl | 100 | 100 | 99 |
| Bilirubin | 6 | mg/dl | 100 | 100 | 99 |
| Blood | 250 | Ery/μl | 100 | 100 | 99 |
| Color | Brown | - | 100 | 100 | 99 |
b. Linearity/assay reportable range:
Please see the method comparison section 2.a below and detection limit section 1.d. below.
c. Traceability, Stability, Expected values (controls, calibrators, or methods):
The sponsor recommends using commercially available control materials for use on the cobas u 411 urine analyzer.
Calibration verification is performed using a Calibration Strip which is included with the analyzer. This is a gray strip which checks the reflectance values for each test. The reflectance values are compared with the previous user calibration values and the values of the internal Calibration Strip. Recommendations for calibration verification are included in the operator's manual.
d. Detection limit:
The sensitivity of the Chemstrip 10UA Urine Test Strip on the cobas u411 was evaluated by spiking negative pooled human urine with the appropriate substance to obtain the desired concentrations. Multiple samples were tested for each concentration. The prepared samples were then assayed on the cobas u 411 analyzer. Sensitivity was defined as the cutoff in which 90% of the contrived pooled measurements were positive.
| Parameter | Claim (Package Insert Chemstrip UA) | Point at which sensitivity meets criteria of >90% detection |
| --- | --- | --- |
| Erythrocytes | 5 - 10 Ery/μl | 7 E/μl |
| Leukocytes | 20- 25 Leu/μl | 23 L/μl |
| Protein | 8 - 12 mg/dL | 8 mg/dl |
| Glucose | 30 - 40 mg/dl | 40 mg/dl |
| Ketones | 3 - 6 mg/ dl | 4 mg/dl |
| Nitrite | 0.05 - 0.07 mg/dl | 0.06 mg/dl |
| Bilirubin | 0.4 - 0.6 mg/dl | 0.6 mg/dl |
| Urobilinogen | 1.0 - 1.6 mg/dl | 1.2 mg/dl |
e. Analytical specificity
A urine pool was prepared using fresh normal/negative urine and urine samples with parameters in the first positive range. Solutions were also prepared using high drug concentrations and prepared with the maximum daily dosage of the medical relevant
{6}
drug concentration. Multiple replicates of the urine pool and the drug solutions were measured.
Interfering substances and their effects on the various analytes:
| Test | Interfering substances | Impact on Test |
| --- | --- | --- |
| Leukocytes | n-Acetyl Cysteine ≥ 1 mg/l, Cefoxitin ≥ 1000 mg/l, Curcumin ≥ 3500 mg/l, Levodopa ≥ 250 mg/l, p-Aminosalicylic Acid ≥ 12740 and Tetracycline ≥ 100 mg/l | False positive |
| | Gentamicin Sulfate ≥ 80 mg/l, Imipenem ≥ 3000 mg/l, Meropenem ≥ 4000 mg/l, Formaldehyde ≥ 2000 mg/l | False positive |
| | Captopril ≥ 100 mg/l | False negative |
| | Elevated glucose >5 g/dL | False negative |
| | High pH values caused by urinary tract infections and a low specific gravity | False positive |
| Nitrite | 2-mercaptoethanesulphonate sodium (MESNA) ≥ 11400 mg/l | False negative |
| Protein | Acetaminophen ≥ 500 mg/l, Chloroquine ≥ 380 mg/l, Levodopa ≥ 250 mg/l, Nitrofurantoin ≥ 200 mg/l | False positive |
| --- | --- | --- |
| Glucose | Ascorbic Acid ≥75mg/dL | False negative |
| | Nitrofurantoin ≥ 200 mg/l | False negative |
| | MESNA ≥ 11400 mg/l | False positive |
| | Oxidizing cleaning agents ≥ 110 mg/l, Mecetronium Etilsulfate ≥ 40 mg/l | False positive |
| Ketones | Captopril ≥ 100 mg/l, Curcumin ≥ 3500 mg/l, Imipenem ≥ 3000 mg/l, MESNA ≥ 11400 mg/l or other sulfhydryl containing compounds. | False positive |
| | Formaldehyde ≥ 2000 mg/l | False positive |
| Bilirubin | Ascorbic Acid >40 mg/dL | False negative |
| | Imipenem ≥ 3000 mg/l, Penicillin ≥ 8150 mg/l, p-Aminosalicylic Acid ≥ 12740 mg/l, Hydrochloric Acid ≥ 6660 mg/l | False positive |
| | MESNA ≥ 11400 mg/l | False negative |
| | Urobilinogen ≥ 120 mg/l | False positive |
| | pH >9.0 | False positive |
| Urobilinogen | p-Aminosalicylic Acid ≥ 12740 mg/l, Sulfamethoxazol ≥ 1070 mg/l | False positive |
| | Formalin concentrations >200 mg/dL | False negative |
| | Nitrite concentrations >0.6 mg/dL | False negative |
| | pH >9.0 | False positive |
| Blood | Ascorbic Acid >75 mg/dL | False negative |
| | Phenazopyridine ≥ 50 mg/l | False positive |
| | Nitrofurantoin ≥ 200 mg/l, Quinidine ≥ 320 mg/l | False negative |
| | MESNA ≥ 11400 mg/l | False positive and false negative |
| | Leukocytes ≥ 500 LEU/μl | False positive |
| | pH >9.0 | False positive |
{7}
8
f. Assay cut-off:
Not applicable
2. Comparison studies:
a. Method comparison with predicate device:
Both fresh and spiked samples were used to cover the entire analytical range. Each sample was split into two aliquots.
The clinical study was performed at three different clinical sites. At least two intended users operated the device at each site.
Cobas u411 urinalysis test system with Chemstrip 10 UA Test strip vs. Chemstrip Urine analyzer with Chemstrip 10 UA Test strip:
| | Predicate Device | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| Erythrocytes (Blood) | 0 Neg | 10 | 25 | 50 | 150 | 250 |
| Candidate Device | | | | | | |
| 0 Neg | 207 | 6 | | | | |
| 10 | 13 | 99 | 2 | | | |
| 25 | | 5 | 93 | 4 | | |
| 50 | | | 8 | 71 | 6 | |
| 150 | | | | 3 | 83 | 11 |
| 250 | | | | | 1 | 101 |
| Total | 220 | 110 | 103 | 78 | 90 | 112 |
| %Agreement (Exactly match) | 94 | 90 | 90 | 91 | 92 | 90 |
| %Agreement (+/- 1 Color Block) | 100 | 100 | 100 | 100 | 100 | 100 |
{8}
| | Predicate Device | | | |
| --- | --- | --- | --- | --- |
| Leukocytes | Neg | 25 | 100 | 500 |
| Candidate Device | | | | |
| Neg | 187 | 4 | | |
| 25 | 5 | 101 | 3 | |
| 100 | | 2 | 69 | 3 |
| 500 | | | 2 | 93 |
| Total | 192 | 107 | 74 | 96 |
| %Agreement (Exactly match) | 97 | 94 | 93 | 97 |
| %Agreement (+/- 1 Color Block) | 100 | 100 | 100 | 100 |
| | Predicate Device | |
| --- | --- | --- |
| Nitrite | Negative | Positive |
| Candidate Device | | |
| Negative | 104 | 2 |
| Positive | 4 | 80 |
| Total | 108 | 82 |
| %Agreement (Exactly match) | 96 | 98 |
| %Agreement (+/- 1 Color Block) | 100 | 100 |
| | Predicate Device | | | | |
| --- | --- | --- | --- | --- | --- |
| Ketone | 0 Neg | 5 | 15 | 50 | 150 |
| Candidate Device | | | | | |
| 0 Neg | 360 | 2 | | | |
| 5 | 36 | 69 | 2 | | |
| 15 | 1 | 3 | 80 | 6 | |
| 50 | | | 1 | 81 | 1 |
| 150 | | | | 3 | 65 |
| Total | 397 | 74 | 83 | 90 | 66 |
| %Agreement (Exactly match) | 91 | 93 | 96 | 90 | 99 |
| %Agreement (+/- 1 Color Block) | 100 | 100 | 100 | 100 | 100 |
{9}
| | Predicate Device | | | | |
| --- | --- | --- | --- | --- | --- |
| Glucose | Norm | 50 | 100 | 250 | 1000 |
| Candidate Device | | | | | |
| Norm | 121 | 2 | | | |
| 50 | 3 | 68 | 8 | | |
| 100 | | 2 | 89 | 4 | |
| 250 | | | 2 | 73 | 4 |
| 1000 | | | 1 | | 102 |
| Total | 124 | 72 | 100 | 77 | 106 |
| %Agreement (Exactly match) | 98 | 94 | 89 | 95 | 96 |
| %Agreement (+/- 1 Color Block) | 100 | 100 | 99 | 100 | 100 |
| | Predicate Device | | | | |
| --- | --- | --- | --- | --- | --- |
| Protein | Neg | 15 | 30 | 100 | 500 |
| Candidate Device | | | | | |
| Neg | 310 | 5 | 1 | | |
| 15 | 26 | 73 | 13 | | |
| 30 | 1 | 5 | 146 | 16 | |
| 100 | | | 3 | 123 | 1 |
| 500 | | | | 3 | 63 |
| Total | 337 | 83 | 163 | 142 | 64 |
| %Agreement (Exactly match) | 92 | 88 | 90 | 87 | 98 |
| %Agreement (+/- 1 Color Block) | 100 | 100 | 99 | 100 | 100 |
| | Predicate Device | | | |
| --- | --- | --- | --- | --- |
| Bilirubin | Neg | 1 | 3 | 6 |
| Candidate Device | | | | |
| Neg | 301 | 4 | | |
| 1 | 26 | 142 | | |
| 3 | | 18 | 87 | 3 |
| 6 | | | 10 | 68 |
| Total | 327 | 164 | 97 | 71 |
| %Agreement (Exactly match) | 92 | 87 | 90 | 96 |
| %Agreement (+/- 1 Color Block) | 100 | 100 | 100 | 100 |
{10}
| | Predicate Device | | | | |
| --- | --- | --- | --- | --- | --- |
| Urobilinogen | Norm | 1 | 4 | 8 | 12 |
| Candidate Device | | | | | |
| Norm | 419 | | | | |
| 1 | 36 | 61 | 1 | | |
| 4 | | 2 | 62 | 4 | |
| 8 | | | 2 | 68 | 5 |
| 12 | | | | 2 | 67 |
| Total | 455 | 63 | 65 | 74 | 72 |
| %Agreement (Exactly match) | 92 | 97 | 95 | 92 | 93 |
| %Agreement (+/- 1 Color Block) | 100 | 100 | 100 | 100 | 100 |
| | Predicate Device | | | | | |
| --- | --- | --- | --- | --- | --- | --- |
| pH | 5.0 | 6.0 | 6.5 | 7.0 | 8.0 | 9.0 |
| Candidate Device | | | | | | |
| 5.0 | 228 | 2 | | | | |
| 6.0 | 29 | 110 | 22 | 1 | | |
| 6.5 | | 7 | 93 | 11 | | |
| 7.0 | | | 5 | 118 | 12 | |
| 8.0 | | | | 2 | 101 | 13 |
| 9.0 | | | | | 4 | 75 |
| Total | 257 | 119 | 120 | 132 | 117 | 88 |
| %Agreement (Exactly match) | 89 | 92 | 78 | 89 | 86 | 85 |
| %Agreement (+/- 1 Color Block) | 100 | 100 | 100 | 99 | 100 | 100 |
| | Predicate Device | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Specific Gravity | 1.000 | 1.005 | 1.010 | 1.015 | 1.020 | 1.025 | 1.030 |
| Candidate Device | | | | | | | |
| 1.000 | 9 | 5 | 1 | | | | |
| 1.005 | 4 | 67 | 14 | 1 | | | |
| 1.010 | | 13 | 177 | 36 | 4 | | |
| 1.015 | | | 11 | 141 | 18 | | |
| 1.020 | | | 1 | 8 | 131 | 14 | |
| 1.025 | | | | 0 | 10 | 92 | 5 |
| 1.030 | | 1 | | 1 | | 2 | 70 |
| Total | 13 | 86 | 204 | 187 | 163 | 108 | 75 |
| %Agreement (Exactly match) | 69 | 78 | 87 | 75 | 80 | 85 | 93 |
| %Agreement (+/- 1 Color Block) | 100 | 99 | 99 | 99 | 98 | 100 | 100 |
{11}
# Summary of Data
| Analyte | % Agreement (within ± 1 color block) | % Agreement (exact match) | Analyte | % Agreement (within ± 1 color block) | % Agreement (exact match) |
| --- | --- | --- | --- | --- | --- |
| Blood (Erythrocytes) | 100 (713/713) | 91.7 (654/713) | Protein | 99.8 (788/789) | 90.6 (715/789) |
| Leukocytes | 100 (469/469) | 95.9 (450/469) | Bilirubin | 100 (659/659) | 90.7 (598/659) |
| Nitrite | 100 (190/190) | 96.8 (184/190) | Urobilinogen | 100 (729/729) | 92.8 (677/729) |
| Ketone | 99.7 (708/710) | 90.7 (655/710) | pH | 99.9 (832/833) | 87.0 (725/833) |
| Glucose | 100 (479/479) | 94.6 (453/479) | Specific Gravity | 99.2 (830/836) | 82 (687/836) |
Cobas u411 optional Urine Color parameter vs. Visual Read
| | Visual Reading | | | | |
| --- | --- | --- | --- | --- | --- |
| Urine Color | pale yellow/ yellow | orange | amber | brown | red |
| Candidate Device | | | | | |
| pale yellow/ yellow | 176 | | 6 | | |
| orange | | | | | 2 |
| amber | 12 | | 37 | | |
| brown | 8 | | 36 | 53 | |
| red | | | | | 8 |
b. Matrix comparison:
Not applicable, this device is only used with urine samples.
3. Clinical studies:
a. Clinical Sensitivity:
Not applicable
b. Clinical specificity:
Not applicable
{12}
c. Other clinical supportive data (when a. and b. are not applicable):
4. Clinical cut-off:
Not applicable
Expected values/Reference range:
Complete details of the expected analyte values are provided in the labeling.
The labeling states that each laboratory should investigate the transferability of the expected values to its own patient population and if necessary determine its own reference range.
N. Instrument Name:
Cobas u411 Urinalysis Test System
O. System Descriptions:
1. Modes of Operation:
The Cobas Urinalysis Test system is an automated urine analyzer using reflectance photometry for the semi quantitative determination of Specific Gravity, pH, Leukocyte esterase, Nitrite, Protein, Glucose, Ketones, Urobilinogen, Bilirubin and Erythrocytes.
2. Software:
FDA has reviewed applicant’s Hazard Analysis and software development processes for this line of product types:
Yes ☐ X ☐ or No ☐
3. Specimen Identification:
Numerical specimen identification information can be entered manually via the touch screen keyboard on the analyzer. The analyzer is also available for use with a bar code scanner using the BC scanner interface located in the back of the instrument.
4. Specimen Sampling and Handling:
Cobas u 411 Urinalysis Test system can analyze multiple strips. The user dips the test strip into the urine sample and places it on a sample tray. The test strip is then drawn inside the analyzer to begin timing and analysis.
13
{13}
5. Calibration:
Calibration is based on the analysis of a calibration strip with known reflectance values. The calibration strip is initially provided with the device and may also be purchased separately. This internal calibration strip must be replaced at least once a year or in the event that the cobas u 411 analyzer cannot be calibrated. This must only be performed using the Control-Test M calibration strip manufactured by Roche Diagnostics. The calibration strip is made of gray plastic material of constant reflectance characteristics. Labeling recommends that the cobas u411 analyzer be calibrated once every four weeks.
6. Quality Control:
Quality Control is analyzed like the patient samples. The labeling recommends that a positive and a negative external control be assayed daily according to state, federal and local guidelines and 1) when starting a new lot of test strips 2) when starting a new container of test strips 3) when there are questionable results 4) every 30 days to check the storage conditions of the test strips 5) after using the calibration strip 6) after maintenance or service and 7) when changing operators.
P. Other Supportive Instrument Performance Characteristics Data Not Covered In The "Performance Characteristics" Section above:
Q. Proposed Labeling:
The labeling is sufficient and it satisfies the requirements of 21 CFR Part 809.10.
R. Conclusion:
The submitted information in this premarket notification is complete and supports a substantial equivalence decision.
14
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.