K050182 · Biomedix, Inc. · CGA · Aug 9, 2005 · Clinical Chemistry
Device Facts
Record ID
K050182
Device Name
Q.STEPS BIOMETER G/C DUAL MONITORING SYSTEM
Applicant
Biomedix, Inc.
Product Code
CGA · Clinical Chemistry
Decision Date
Aug 9, 2005
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 862.1345
Device Class
Class 2
Attributes
Pediatric
Indications for Use
The Q. STEPS Biometer G/C Dual Monitoring System is intended for use with Q.STEPS Glucose and Cholesterol Test Strips with Q. STEPS Biometer G/C by healthcare professionals and home users. Q. STEPS Biometer G/C System provides a quantitative measurement of Glucose and Cholesterol in whole blood from the fingertips. The Glucose measurements are used in helping the management of carbohydrate metabolism disorders including diabetes mellitus, idiopathic hypoglycemia and pancreatitis islet cell tumors. Cholesterol measurements are used in the management of disorders involving excess cholesterol in the blood, lipid and lipoprotein metabolism disorders.
Device Story
System uses enzymatic electrochemical biosensor technology to measure whole blood glucose and cholesterol. Finger-stick blood applied to disposable test strips; Glucose Oxidase or Cholesterol Oxidase catalyzes reduction-oxidation reaction; electron transfer at silver electrode surface generates current proportional to analyte concentration. Meter quantifies current and displays results. Used by healthcare professionals and home users. Includes lot-specific EEPROM calibration chip inserted by user for cholesterol testing. Provides quantitative data for clinical management of metabolic disorders.
Clinical Evidence
Clinical method comparison studies conducted at three sites with 456 patients. Glucose performance compared against YSI reference; Cholesterol performance compared against CRMLN reference. Precision studies (within-run CV 1.0-8.0%) and linearity studies (R² 0.96-0.99) performed. Bias at medical decision points (200/240 mg/dL) for cholesterol was ~4.65% positive and 2.33% negative. Results support substantial equivalence.
Technological Characteristics
Enzymatic electrochemical biosensor; Glucose Oxidase/Cholesterol Oxidase; silver electrode surface. Amperometric measurement. Dimensions: disposable test strips with half-circle (glucose) or circular (cholesterol) test spots. Connectivity: lot-specific EEPROM calibration chip. Storage: 2-30°C. Provides plasma-equivalent results.
Indications for Use
Indicated for quantitative measurement of glucose and cholesterol in whole blood from fingertips in adults and children. Used for management of carbohydrate metabolism disorders (diabetes mellitus, idiopathic hypoglycemia, pancreatic islet cell tumors) and lipid/lipoprotein metabolism disorders.
Regulatory Classification
Identification
A glucose test system is a device intended to measure glucose quantitatively in blood and other body fluids. Glucose measurements are used in the diagnosis and treatment of carbohydrate metabolism disorders including diabetes mellitus, neonatal hypoglycemia, and idiopathic hypoglycemia, and of pancreatic islet cell carcinoma.
Special Controls
*Classification.* Class II (special controls). The device, when it is solely intended for use as a drink to test glucose tolerance, is exempt from the premarket notification procedures in subpart E of part 807 of this chapter subject to the limitations in § 862.9.
Predicate Devices
Q STEPS™ Biometer G Blood Glucose Monitoring System (K033627)
One Touch Basic/Profile/One Touch II Test Strips, LifeScan, Inc.(K031472)
Submission Summary (Full Text)
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# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY DEVICE ONLY TEMPLATE
A. 510(k) Number:
k050182
B. Purpose For Submission:
Premarket Notification 510(k) of intention to manufacture and market the Biomedix, Inc.
Q. STEPS Biometer G/C Dual Monitoring System
C. Analyte:
Whole Blood Glucose
Whole Blood Cholesterol
D. Type of Test:
Quantitative, utilizing Glucose Oxidase technology.
Quantitative, utilizing Cholesterol Oxidase technology.
E. Applicant:
Biomedix, Inc.
F. Proprietary and Established Names:
Q. STEPS™ Biometer G/C Dual Monitoring System.
G. Regulatory Information:
1. Regulation section:
| Regulation Number | Standard Product Nomenclature | Panel | Product Code | Class |
| --- | --- | --- | --- | --- |
| 862.1345 | System, Test, Blood Glucose, Over The Counter | Chemistry (75) | NBW | II |
| 862.1345 | Glucose Oxidase, Glucose | Chemistry (75) | CGA | II |
| 862.1175 | Enzymatic Esterase-Oxidase, Cholesterol | Chemistry (75) | CHH | I |
| 862.1660 | Single (Specified) Analyte Controls (Assayed and Unassayed) | Chemistry (75) | JJX | I |
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## H. Intended Use:
1. Intended use(s):
See Indications for use below.
2. Indication(s) for use:
The Q. STEPS Biometer G/C Dual Monitoring System is intended for use with Q.STEPS Glucose and Cholesterol Test Strips with Q. STEPS Biometer G/C by healthcare professionals and home users. Q. STEPS Biometer G/C System provides a quantitative measurement of Glucose and Cholesterol in whole blood from the fingertips. The Glucose measurements are used in helping the management of carbohydrate metabolism disorders including diabetes mellitus, idiopathic hypoglycemia and pancreatitis islet cell tumors. Cholesterol measurements are used in the management of disorders involving excess cholesterol in the blood, lipid and lipoprotein metabolism disorders.
3. Special condition for use statement(s):
Provides plasma equivalent results.
4. Special instrument Requirements:
Q. STEPS Biometer G/C Dual Monitoring System.
## I. Device Description:
The Q. STEPS™ Biometer G/C Dual Monitoring System uses enzymatic electrochemical biosensor technology to measure whole blood glucose and cholesterol levels. When finger blood is applied to the test spot of the biosensor (test strip) a reduction-oxidation reaction occurs. The oxidase of D-Glucose or Cholesterol which is catalyzed by Glucose Oxidase or by Cholesterol Oxidase respectively, causes an electron transfer at the electrode (silver) surface; and therefore, the magnitude of the current produced is proportional to the glucose or cholesterol concentration in the blood. The Biometer G/C uses that current to quantify the glucose and the cholesterol levels in the blood, and then display on the readout of the monitor.
## J. Substantial Equivalence Information:
1. Predicate device name(s):
One Touch Basic Blood Glucose Monitoring System
PTS Panels Lipid Panel Test Strips
2. Predicate K number(s):
k031472
k023558
3. Comparison with Predicate:
Substantial Equivalence Comparison Glucose
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## Similarities
| Item | Devices k050182 | Predicate k031472 |
| --- | --- | --- |
| Intended Use | Q. STEPSTM Biometer G/C Dual Monitoring System (Glucose Side Sensor)
Intended to be used with Q.STEPSTM Biometer G/C and Q. STEPSTM Glucose Test Strips for the quantitative measurement of glucose in fresh capillary whole blood from the fingertip.
For professionals and Diabetes patients use. | One Touch Basis System
Intended to be used with One Touch® basic and One Touch® Test Strips for the quantitative measurement of glucose in fresh capillary whole blood from fingertip.
For professionals and Diabetes patients use. |
| Test Principle | Based on Glucose Oxidase oxidation reduction to convert glucose into gluconic acid. | Based on Glucose Oxidase oxidation reduction to convert glucose into gluconic acid. |
| Labeling Instruction Regarding Response to Unusual Results | Test should be run with liquid quality control material, Q. STEPSTM Control Solution whenever a new vial of test strip is opened or unusual blood test result is obtained. | Test should be run with liquid quality control material, One Touch® Control Solution whenever a new vial of test strip is opened or unusual blood test result is obtained. |
| Meter Functional Test | A check strip is provided to ensure the system is working properly | A check strip is provided to ensure the system is working properly |
| Test Strips Storage Condition | Must be stored in the original vial with the cap tightly closed. Stored in a cool dry place not above 86°F (36°C) and away from heat and direct sunlight, not refrigerated. | Must be stored in the original vial with the cap tightly closed. Stored in a cool dry place not above 86°F (36°C) and away from heat and direct sunlight, not refrigerated. |
| Strip Shelf Life | After opening the vial, 4 months | After opening the vial, 4 months |
## Differences
| Item | Devices k050182 | Predicate k031472 |
| --- | --- | --- |
| Methodology | Amperometric | Photometric |
| Test Recall Memory | 99 test results | 75 test results memory capacity. |
| Blood Sample Volume Reaction Time | Minimum is 5μl/30 seconds | Minimum is 10 μl / 45 seconds |
| Physical Characteristics | The test spot is on the side of the test strip and is a shape of half-a-circle. | The test spot is on the center of the test strip and is in the shape of a circle. |
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# Substantial Equivalence Comparison Cholesterol
## Similarities
| Item | Devices k050182 | Predicate k023558 |
| --- | --- | --- |
| Intended Use | The Q. STEPSTM Test Strip is intended to measure cholesterol in whole blood on the G/C Dual Monitoring System.
For Professionals and Diabetes patients use. | The Lipid Panel Test Strips are intended to measure cholesterol, HDL and triglycerides in whole blood on a BIOScanner Plus (CardioChek Brand) analyzer.
For Professionals and home user. |
| Matrix | Finger Whole Blood | Finger Whole Blood |
| Result Display | Directly displays results without requiring calculation. | Directly displays results without requiring calculation. |
| Enzymatic reaction | Cholesterol Oxidase and Esterase Reaction | Cholesterol Oxidase and Esterase Reaction |
| Physical Characteristics | Test strip with circular spot | Test strip with circular spot |
| Calibration Chip | It contains a lot specific electronically erasable, programmable read-only memory (EEPROM) chip in the same package with the strips. The EEPROM chip has the curve information programmed into it and based on a multipoint curve and is established for each lot. The user inserts this chip into the meter with each new lot of test strips. | It contains a lot specific electronically erasable, programmable read-only memory (EEPROM) chip in the same package with the strips. The EEPROM chip has the curve information programmed into it and based on a multipoint curve and is established for each lot. The user inserts this chip into the meter with each new lot of test strips. |
| Device Storage | 2-30°C | 2-30°C |
## Differences
| Item | Devices k050182 | Predicate k023558 |
| --- | --- | --- |
| Methodology | Amperometric | Photometric |
| Measuring Range | 150-350 mg/dL | 100-400 mg/dL |
| Test Read Time | 30 seconds | 45 seconds |
| Sample Volume Application | Approximately 15 μL or 1 drop is added to the test spot | Approximately 135μL or 3 drops are added to the test spot |
| Test | Cholesterol only | Lipid Panel |
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## K. Standard/Guidance Document Referenced (if applicable):
1) General Principles of Software Validation; Final Guidance for Industry and FDA Staff, FDA, January 11, 1997.
2) IEEE Standard 1012-1986, IEEE Standard for Software Verification and Validation Plans, The institute of Electrical and Electronic Engineers, Inc. 1997.
3) Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices, Department of Health and Human Services, Food and Drug Administration, July 2000.
4) Quality Systems – Model for quality assurance in design, development, production, installation and servicing, ISO 9001:2000, International Organization for Standardization.
## L. Test Principle:
The Test Principle used by this device is enzyme electrochemical sensor technology. Biomedix’s biosensor uses a separate disposable dry reagent strip a for glucose and cholesterol determinations. When a drop of blood from the fingertip is applied to the half-circle test spot on the glucose test strip or the circular test spot on the cholesterol test strip, the reduction and oxidation reaction causes electron transfer at the electrode surfaces. Current is generated and detected by the Q.STEPS Biometer G/C Dual Monitoring System. The magnitude of the current generated is proportional to the analyte concentration in the blood.
## M. Performance Characteristics (if/when applicable):
1. Analytical performance:
a. Precision/Reproducibility:
### Glucose
The sponsor indicated glucose spiked venous whole blood was used to perform the Within-Run Precision Study. Commercially purchased venous blood was pooled together and spun down to separate the erythrocytes from plasma. The venous blood was then adjusted to $45 \pm 3\%$ hematocrit with the plasma. Five different concentrations of glucose spiked whole blood solutions were made by adding the concentrated glucose solution into the whole blood. These glucose spiked whole blood samples were used for the within-run precision study. Each sample was measured twice per day for 20 days. As shown in the table below, the values of C.V were between $2.7\%$ and $8.0\%$
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Within-run precision results with venous whole blood on Biometer G/C
| Lot # | Glucose Concentration (mg/dL) measured by YSI | Total Number of Samples (N) | Within Run | | |
| --- | --- | --- | --- | --- | --- |
| | | | Mean by Biometer (mg/dL) | Standard Deviation (mg/dL) | Coefficient of Variation % |
| 1 | 50 | 20 | 60 | 2.5 | 4.3 |
| | 80 | 20 | 87 | 4.5 | 5.2 |
| | 120 | 20 | 110 | 8.5 | 7.8 |
| | 200 | 20 | 224 | 11.0 | 4.9 |
| | 400 | 20 | 353 | 16.5 | 4.7 |
| 2 | 50 | 20 | 49 | 3.1 | 6.3 |
| | 80 | 20 | 91 | 7.3 | 8.0 |
| | 120 | 20 | 124 | 9.6 | 7.8 |
| | 200 | 20 | 217 | 13.9 | 6.4 |
| | 400 | 20 | 372 | 10.3 | 2.8 |
| 3 | 50 | 20 | 65 | 2.8 | 4.9 |
| | 80 | 20 | 84 | 3.5 | 4.1 |
| | 120 | 20 | 125 | 3.1 | 2.6 |
| | 200 | 20 | 240 | 6.6 | 2.7 |
| | 400 | 20 | 432 | 16.8 | 4.2 |
The average within-run total variation coefficient with whole blood was between 3.75 and 5.86%.
Summary results of within-run precision with whole blood.
| | Glucose Concentration (mg/dL) measured by YSI | Average Mean by Biometer G/C (mg/dL) | Average Standard Deviation by Biometer G/C (mg/dL) | Average Coefficient of Variation [<8%] % |
| --- | --- | --- | --- | --- |
| All Three Lots | 50 | 58 | 2.8 | 4.82 |
| All Three Lots | 80 | 87 | 5.1 | 5.86 |
| All Three Lots | 120 | 120 | 7.0 | 5.83 |
| All Three Lots | 200 | 227 | 10.5 | 4.63 |
| All Three Lots | 400 | 386 | 14.5 | 3.75 |
Cholesterol
The specimens used in the precision study were EDTA preserved whole blood samples that were obtained commercially. First, the whole blood samples were pooled together, spun down and plasma removed. The serum-base cholesterol stock solutions with the desired cholesterol level were then mixed with red blood cells to become a whole blood sample. The cholesterol-spiked blood was prepared at four target concentrations of 190, 200, 240, and 260 mg/dL. The venous blood was then adjusted to a final hematocrit of
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45%. 15 μl of these blood samples were tested with the Q.STEPS Biometer G/C System, 20 times for each concentration. The values of within-run (average) total variation coefficient with whole blood were between 1.0 and 4.0%.
## Whole blood precision
| Lot# | Cholesterol Concentration by Cobas (mg/dL) | Total Number of Samples (n) | Within-run | | |
| --- | --- | --- | --- | --- | --- |
| | | | Mean by Biometer (mg/dL) | Standard Deviation (mg/dL) | Coefficient of Variation %CV |
| Lot 1 | 190 | 20 | 185 | 6.11 | 3.30 |
| | 200 | 20 | 210 | 7.32 | 3.49 |
| | 240 | 20 | 238 | 7.94 | 3.33 |
| | 260 | 20 | 258 | 4.87 | 1.89 |
| Lot 2 | 190 | 20 | 196 | 4.08 | 2.08 |
| | 200 | 20 | 203 | 6.43 | 3.17 |
| | 240 | 20 | 230 | 5.33 | 2.32 |
| | 260 | 20 | 263 | 5.30 | 2.01 |
| Lot 3 | 190 | 20 | 181 | 7.35 | 4.05 |
| | 200 | 20 | 206 | 8.35 | 4.06 |
| | 240 | 20 | 226 | 8.71 | 3.85 |
| | 260 | 20 | 270 | 6.59 | 2.44 |
The sponsor determined the within run and day-to-day precision on the Q.STEPS System using Standard Cholesterol Solutions at 200mg/dL and 240 mg/dL. 25μl of the standard solution was applied to two test strips per concentration. Readings were taken twice per day for 10 consecutive days. Three different lots of test strips were tested. The within-run C.V. varied from 1.95% to 2.47%
## Within-run precision results of Q.STEPS G/C with serum specimen
| Lot# | Cholesterol Concentration | Total Number | Mean mg/dL | Within-run | | Between run | Total precision | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | | SD | % CV | | SD | %CV |
| Lot 1 | 200 | 10 | 202 | 4.97 | 2.47 | 0 | 6.27 | 3.11 |
| | 240 | 10 | 243 | 5.34 | 2.19 | 0 | 6.00 | 2.47 |
| Lot 2 | 200 | 10 | 202 | 4..49 | 2.22 | 0 | 5.91 | 2.93 |
| | 240 | 10 | 242 | 4.88 | 2.02 | 0 | 5.46 | 2.26 |
| Lot 3 | 200 | 10 | 203 | 4.45 | 2.19 | 0 | 5.59 | 2.75 |
| | 240 | 10 | 243 | 4.71 | 1.95 | 0 | 5.13 | 2.12 |
## Clinical Sites Precision Studies
Venous whole blood samples were collected from patients at three different clinical trial sites. 15μl of the whole blood was applied to each cholesterol test strip. Each blood sample was applied 20 times.
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## Precision data obtained from clinical sites
| Location | Total number of samples (n) | Mean (mg/dL) | Within-run SD (mg/dL) | CV % |
| --- | --- | --- | --- | --- |
| Site 1 | 20 | 192 | 5.91 | 3.08 |
| | 20 | 239 | 6.38 | 2.67 |
| Site 2 | 20 | 209 | 6.02 | 2.89 |
| | 20 | 239 | 5.15 | 2.15 |
| Site 3 | 20 | 206 | 6.35 | 3.09 |
| | 20 | 241 | 6.86 | 2.85 |
## b. Linearity/assay reportable range:
### Glucose
The sponsor pooled 980μl of venous blood and adjusted the hematocrit to 45% ± 3. The pooled sample was then spiked with a Glucose stock solution resulting in blood glucose concentrations of 25 mg/dL, 50 mg/dL, 100 mg/dL, 200 mg/dL 300 mg/dL, 400 mg/dL, 500 mg/dL, 550 mg/dL and 600 mg/dL. Each sample was then measured by the YSI STAT PLUS analyzer, as a reference, and then 10 μl of the sample was placed on the Q.STEPS Side Sensor Test Strip and Biometer G/C. Each concentration level of whole blood glucose spiked solution was applied to four test strips. The average reading was taken for the measurements.
### Results
For each lot of test strips, the glucose concentration determined by the Q.STEPS Biometer G/C was plotted against the glucose concentration determined by the YSI 2300
## Linearity studies of whole blood
| Lot # | Tested Range | R² | Slope | Intercept |
| --- | --- | --- | --- | --- |
| Lot 1 | 50-400 mg/dL | 0.99 | 1.025 | 3.9 |
| Lot 2 | 25-600 mg/dL | 0.98 | 1.192 | -13 |
| Lot 3 | 25-600 mg/dL | 0.99 | 1.033 | -2.6 |
### Cholesterol
The sponsor spiked 15 μl of venous blood with cholesterol stock solutions resulting in blood cholesterol concentrations of 150 mg/dL, 200 mg/dL, 240 mg/dL, 300 mg/dL and 350 mg/dL. The cholesterol concentration of each sample was first measured by the Cobas Mira PLUS, as a reference, and then 15μl of the sample was placed on the Q.STEPS Cholesterol Test Strip and the Biometer G/C. Each level of whole blood cholesterol spiked solution was applied to four test strips. The average readings were taken for the measurement of linear regression.
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# Results
For each lot of test strips, the Cholesterol concentration determined by the Q.STEPS Biometer was plotted against the Cholesterol concentration determined by the Cobas Mira PLUS.
## Linearity studies of whole blood
| Lot # | Tested Range | R² | Slope | Intercept |
| --- | --- | --- | --- | --- |
| Lot 1 | 150-350 mg/dL | 0.96 | 1.03 | -6.47 |
| Lot 2 | 150-350 mg/dL | 0.99 | 1.01 | -0.09 |
| Lot 3 | 150-350 mg/dL | 0.98 | 1.05 | -15.76 |
c. Traceability (controls, calibrators, or method):
The traceability of the Glucose and Cholesterol calibrators and controls are verified against commercially available Standard Reference Material from the National Institute of Standards and Technology (formerly NBS).
1. Commercially available (serum based) Standard Cholesterol Solutions
2. "Current Status of Blood Cholesterol Measurement in Clinical Laboratories in the United States: A report from the Laboratory Standardization Panel of the National Cholesterol Education Program". Clin. Chem 34/1, 1998, 193-201.
3. "Recommendations for Improving Cholesterol Measurement: A report from the Laboratory Standardization Panel of the National Cholesterol Education Program". NIH Publication No. 90-2964, February 1990.
d. Detection limit:
Glucose 50 – 400 mg/dL
Cholesterol 150 – 350 mg/dL
e. Analytical specificity:
## Glucose
According to the sponsor twenty-three commonly tested interferent substances were examined. No interference was observed in bilirubin, creatinine and citrate at physiological levels. Based on the tested concentrations, 4-acetamidophenol, ascorbic acid, dopamine, L-Dopa, Ibuprofen, methyldopa, and uric acid interfered with some glucose measurements.
Tested interference substances, concentrations, and their effects.
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| Substance | Physiological Therapeutic Levels (mg/dL) | Toxic (mg/dL) | Substance Tested Conc. (mg/dL) | Interference At Glucose 80 mg/dL | Interference At Glucose 200 mg/dL) | Effect of low gluc conc. (80mg/dL) | Effect of high gluc conc. (200 mg/dL) |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 4Acetamindophenol | 1.0-2.0 | 15 | 2.0-6.0 | No inter up to 2.0 mg/dL | No inter up to 4.0 mg/dL | ▲ | ▲ |
| Ascorbic Acid | 0.8-1.2 | - | 1.0-4.0 | No inter up to 2.0 mg/dL | Inter at 1.0 mg/dL | ▼ | ▼ |
| Bilirubin | 0.1-1.2 | - | 6.8-20 | No inter up to 20 mg/dL | No inter up to 20 mg/dL | - | - |
| Cholesterol | <200 | - | 300 | No inter | No inter | - | - |
| Citrate sodium salt | 1.7-3.0 | - | 8.9-26.6 | No inter | No inter | - | - |
| Creatinine | 0.6-1.2 | - | 21.9-65.7 | No inter | No inter | - | - |
| Dextrin | - | - | 0.1-0.2 | No inter | No inter | - | - |
| L-Dopa | 0.02-0.03 | - | 0.23-6.9 | No inter up to 2.3 mg/dL | No inter up to 2.3 mg/dL | ▲ | ▲ |
| Dopamine | 0.4-1.6 | - | 0.02-2.6 | No inter up to 0.7 mg/dL | No inter up to 0.52 mg/dL | ▲ | ▲ |
| EDTA | 61 | 240 | 100-400 | No inter | No inter | - | - |
| D-Galactose | | - | 22.1-66.2 | No inter | No inter | - | - |
| Ibuprofen | 0.5-4.2 | - | 27-81 | No inter | No inter up to 54 mg/dL | - | ▼ |
| K3Fe(CN)6 | 0.07 | 2.86 | 0.2-0.5 | No inter | No inter | - | - |
| Maltose | - | - | 18-54 | No inter | No inter | - | - |
| D-Mannose | 5.0-7.5 mg/day | - | 10-30 | No inter | No inter | - | - |
| Mega8 | - | - | 0.2-0.5 | No inter | No inter | - | - |
| Methyldopa | 0.1-0.5 | >1.0 | 1.2-3.5 | No inter up to 2.0 mg/dL | No inter up to 1.0 mg/dL | ▼ | ▼ |
| Salicylic acid | 15-30 | >40 | 8.7- | No inter | No inter | ▼ | ▼ |
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# Cholesterol
The sponsor tested ten common endogenous or exogenous substances for cholesterol meters. Hemoglobin was also tested due to the occurrence of hemolyzed specimens. The sponsor utilized a Student t test for statistical analysis. Paired differences were analyzed to determine statistically significant differences between 3 lots of cholesterol test strips. A p value less than .05 was considered to be statistically significant. The therapeutic and toxic concentrations of the interferents are listed in the below table.
Tested interference substances, concentrations, and their effects.
| Substance | Physiological Therapeutic Levels (mg/dL) | Toxic (mg/dL) | Substance Tested Conc. (mg/dL) | Interference At Chol 200 mg/dL | Interference At Chol 240 mg/dL) | Effect of low chol conc. (200 mg/dL) | Effect of high chol conc. (240 mg/dL) |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 4Acetamindophenol | 1.0-2.0 | >15 | 1.5-6.0 | No inter up to 3.0 mg/dL | No inter up to 3.0 mg/dL | ▲ | ▲ |
| Ascorbic Acid | 0.8-1.2 | - | 1.0-4.0 | No inter up to 2.0 mg/dL | Inter at 1.0 mg/dL | ▼ | ▼ |
| Bilirubin | 0.1-1.2 | - | 6.8-20 | No inter up to 20 mg/dL | No inter up to 20 mg/dL | - | - |
| Dopamine | 0.4-1.6 | - | 0.02-2.6 | No inter up to 8.0 mg/dL | No inter up to 4.0 | ▼ | ▼ |
| EDTA | 61 | 240 | 100- | No inter | No inter | - | - |
| | | | 100- | no inter | no inter | | |
| 2,4-Dimethyl-2,4-dioxol | 1.0-2.0 | 1.0-4.0 | 1.0-4.0 | No inter up to 3.0 mg/dL | No inter up to 3.0 mg/dL | ▲ | ▲ |
| 2,4-Dimethyl-2,4-dioxol | 1.0-2.0 | 1.0-4.0 | 1.0-4.0 | No inter up to 3.0 mg/dL | No inter up to 3.0 mg/dL | | |
| 2,4-Dimethyl-2,4-dioxol | 1.0-2.0 | 1.0-4.0 | 1.0-4.0 | No inter up to 3.0 mg/dL | No inter up to 3.0 mg/dL | | |
| 2,4-Dimethyl-2,4-dioxol | 1.0-2.0 | 1.0-4.0 | 1.0-4.0 | No inter up to 3.0 mg/dL | No inter up to 3.0 mg/dL | | |
| 2,4-Dimethyl-2,4-dioxol | 1.0-2.0 | 1.0-4.0 | 1.0-4.0 | No inter up to 3.0 mg/dL | No inter up to 3.0 mg/dL | | |
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| Substance | Physiological Therapeutic Levels (mg/dL) | Toxic (mg/dL) | Substance Tested Conc. (mg/dL) | Interference At Chol 200 mg/dL | Interference At Chol 240 mg/dL) | Effect of low chol conc. (200 mg/dL) | Effect of high chol conc. (240 mg/dL) |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | | | 400 | up to 400 mg/dL | up to 400 mg/dL | | |
| Hemoglobin | 10 mg/dL | - | 22.1 – 66.2 | No inter up to 200 mg/dL | No inter up to 200 mg/dL | - | - |
| Ibuprofen | 0.5-4.2 | - | 27-81 | No inter up to 10 mg/dL | No inter up to 20 mg/dL | ▲ | ▲ |
| Methyldopa | 0.1-0.5 | >1.0 | 1.2-3.5 | No inter up to 2.0 mg/dL | No inter up to 1.0 mg/dL | ▼ | ▼ |
| Salicylic acid | 15-30 | >40 | 8.7-26.1 | No inter up to 25 mg/dL | No inter up to 50 mg/dL | ▼ | ▼ |
| Triglyceride | <190 | - | 475 – 1900 | No inter up to 1900 mg/dL | No inter up to 1900 mg/dL | - | - |
| Uric Acid | M: 2.1-7.8 F: 2.0-6.4 | - | 5.0-20.0 | No inter up to 10.0 mg/dL | No inter up to 5.0 mg/dL | ▼ | ▼ |
# Hematocrit Study
# Glucose
The sponsor obtained venous whole blood samples that were pooled, and then spun down to separate the red cells from the plasma. The plasma was adjusted to the desired target hematocrit concentration levels of approximately $20\%$ , $25\%$ , $30\%$ , $40\%$ , $45\%$ , $50\%$ , and $60\%$ . Each hematocrit level had 5 target glucose concentrations (50 mg/dL, 80 mg/dL, 120 mg/dL, 200 mg/dL and 400 mg/dL), which were prepared by spiking with appropriate volumes of glucose stock solutions.
The sponsor's acceptance criteria for this study was determined to be hematocrit levels that exhibit glucose concentrations within $\pm 20\%$ of that glucose reading of the same specimen at $45\%$ hematocrit level.
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| Glucose Conc. (mg/dL) | Hematocrit Percent Levels | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | 20% | 25% | 30% | 35% | 40% | 50% | 55% | 60% |
| 50 | 16.1 | 19.7 | 12.7 | 8.1 | -0.7 | -6.4 | -19.7 | -22.1 |
| 80 | 25.3 | 14.5 | 19.6 | 2.1 | -2.2 | -9.8 | -7.3 | -7.4 |
| 120 | 21.7 | 11.4 | 10.5 | 5.6 | -3.7 | -9.7 | -10.2 | -18.5 |
| 200 | 22.9 | 23.0 | 14.2 | -1.3 | -2.7 | -1.4 | -7.0 | -17.7 |
| 400 | 10.0 | -4.7 | -3.0 | 4.7 | -0.3 | -7.2 | -11.0 | -18.2 |
| | Hematocrit Percent Levels | | | | | | | |
| 50 | 20.9 | 27.4 | 8.2 | 6.9 | 3.6 | -2.5 | -5.9 | -10.0 |
| 80 | 8.5 | 3.8 | 3.1 | 2.2 | -5.6 | -8.0 | 1.3 | -8.3 |
| 120 | 13.5 | 11.6 | 8.2 | 6.7 | 3.4 | -2.0 | -10.1 | -15.9 |
| 200 | 11.3 | 15.3 | 11.1 | 7.2 | 1.5 | -5.3 | -14.4 | -14.5 |
| 400 | 1.8 | -11.7 | 4.0 | 7.8 | 6.3 | -4.0 | -5.7 | -11.1 |
## Cholesterol
The sponsor obtained venous whole blood samples that were pooled, and then spun down to separate the red cells from the plasma. The plasma was adjusted to the desired target hematocrit concentration levels of approximately 20%, 25%, 30%, 40%, 45%, 50%, and 60%. Each hematocrit level had 2 target cholesterol concentrations (200 and 240 mg/dL), which were prepared by spiking with appropriate volumes of cholesterol stock solutions. 15 μl of the adjusted whole blood sample was applied to the cholesterol test strips. The data is presented below.
## Percent difference in hematocrit
| Cholesterol Conc. (mg/dL) | Hematocrit Percent Levels | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | 20% | 25% | 30% | 35% | 40% | 50% | 55% | 60% |
| 200 | 13.4 | 13.4 | 11.5 | 8.7 | 6.1 | 5.1 | 2.3 | -12.4 |
| 240 | 22.1 | 22.1 | 13.7 | 7.7 | 5.6 | -2.6 | 3.9 | -11.6 |
| | Hematocrit Percent Levels | | | | | | | |
| 200 | 20.5 | 10.5 | 15.0 | 5.0 | 1.5 | -5.0 | 3.0 | -10.3 |
| 240 | 10.5 | 10.5 | 10.0 | 5.0 | 2.9 | -2.9 | -6.7 | -10.0 |
f. Assay cut-off: Not Applicable
## 2. Comparison studies:
a. Method comparison with predicate device:
## Glucose
{13}
Method comparison studies were performed at three different clinical sites. The correlation studies were made between the Biometer (k050182) new device, One Touch (k031472) predicate device, and the YSI (reference method) utilizing finger stick whole blood samples. The sponsor indicated that each home user performed their own fingerstick and performed the test on the Q.STEPS Biometer G/C. The measurement was also read by the professionals.
The professionals then performed another fingerstick on the same home user and performed a glucose test on the same device with the same lot of test strips. All of the results were masked from each other. The professional then tested the same user with the One Touch and YSI methods. The comparison results are presented the table below. The results are expressed as the mean absolute bias and regression analysis.
Comparison of fingertip whole blood results from three different clinical sites.
| Site | Test Strip Lot # | Results Comparisons | Total Patients Tested | Mean of Absolute Bias (%) | Regression Analysis Slope | Regression Analysis Intercept | Regression Analysis Coefficient Variation (r) |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Physician Office (Site 1) | Lot 1 | Home User vs. YSI | 171 | 8.0 | 1.01 | 3.12 | 0.96 |
| | | Home User vs. Professional | 171 | 6.6 | 1.00 | -0.98 | 0.96 |
| | | Professional vs. Predicate Device (One Touch) | 175 | 9.3 | 0.91 | 15.03 | 0.95 |
| | | Professional vs. YSI | 163 | 8.4 | 0.97 | 8.15 | 0.96 |
| Physician Office (Site 2) | Lot 2 | Home User vs. YSI | 126 | 9.5 | 1.00 | -1.59 | 0.93 |
| | | Home User vs. Professional | 126 | 7.8 | 1.00 | -1.01 | 0.95 |
| | | Professional vs. Predicate Device (One Touch) | 130 | 8.0 | 0.98 | 5.8 | 0.92 |
| | | Professional vs. YSI | 126 | 7.7 | 0.97 | 2.1 | 0.95 |
| Physician Office (Site 3) | Lot 3 | Home User vs. YSI | 40 | 7.7 | 0.96 | 4.07 | 0.96 |
| | | Home User vs. Professional | 40 | 5.4 | 1.00 | -1.44 | 0.96 |
| | | Professional vs. Predicate Device (One Touch) | 40 | 8.7 | 0.96 | 10.12 | 0.94 |
| | | Professional vs. YSI | 40 | 6.4 | 0.96 | 6.39 | 0.95 |
# Cholesterol
Method comparison studies were compared with the Abel-Kendall reference method performed in a CDC- certified Cholesterol Reference Method Network Laboratory (CRMLN). The Abell-Kendall method is performed with serum only. External studies were also done at three different clinical sites by Lay-users. A total of 456 patients from the three different sites participated in the clinical trial.
{14}
The lay-users performed their fingerstick and performed the cholesterol test on the Q.STEPS Biometer G/C System and the results were recorded by the lay-user and professional. The professional also performed a finger stick cholesterol test on the same lay-user using the same Biometer G/C System with the same lot of test strips. The professional from each site also drew a tube of venous blood from 14-16 lay-users in order to send the serum to CRMLN for comparison. Comparison results are presented in the table below.
Comparison Results from Three Different Clinical Sites
| Site | Test Strip Lot # | Results Comparisons | Total Patients Tested | Regression Analysis Slope | Regression Analysis Intercept | Regression Analysis Coefficient Variation (r) |
| --- | --- | --- | --- | --- | --- | --- |
| Physician Office (Site 1) | Lot 1 | Home User Performed / Read vs. Professional Performed/ Read | 195 | 0.94 | 13.57 | 0.93 |
| | | Home User Performed/ Read vs. Home User Performed/ Read | 195 | 1.00 | 0.00 | 1.00 |
| | | Home User Performed/ Read vs. CRMLN | 36 | 0.93 | 15.10 | 0.92 |
| | | Professional Performed/ Read vs. CRMLN | 36 | 0.87 | 26.15 | 0.91 |
| Physician Office (Site 2) | Lot 2 | Home User Performed / Read vs. Professional Performed/ Read | 146 | 1.00 | -1.84 | 0.95 |
| | | Home User Performed/ Read vs. Home User Performed/ Read | 146 | 1.00 | 0.00 | 1.00 |
| | | Home User Performed/ Read vs. CRMLN | 23 | 0.96 | 11.15 | 0.98 |
| | | Professional Performed/ Read vs. CRMLN | 22 | 0.93 | 17.51 | 0.97 |
| Physician Office (Site 3) | Lot 3 | Home User Performed / Read vs. Professional Performed/ Read | 115 | 0.91 | 16.59 | 0.91 |
| | | Home User Performed/ Read vs. Home User Performed/ Read | 115 | 1.00 | 0.00 | 1.00 |
| | | Home User Performed/ Read vs. CRMLN | 28 | 0.94 | 16.55 | 0.98 |
| | | Professional Performed/ Read vs. CRMLN | 28 | 0.95 | 19.09 | 0.98 |
The bias between the CRMLN and Q.STEPS Biometer G/C Dual Monitoring System at the medical decision points of $200\mathrm{mg / dL}$ and $240\mathrm{mg / dL}$ , about $4.65\%$ were positively misclassified and $2.33\%$ were negatively classified.
b. Matrix comparison:
Not Applicable
3. Clinical studies:
a. Clinical sensitivity:
{15}
Page 16 of 16
See above
b. Clinical specificity:
See above
c. Other clinical supportive data (when a and b are not applicable):
See Comparison Studies referenced above.
4. Clinical cut-off:
Not Applicable
5. Expected values/Reference range:
Glucose
Patient glucose ranges for non-diabetic, non-pregnant adults:
| Glucose fasting | 70 mg/dL – 110 mg/dL
3.9 mmol/L – 6.1 mmol/L |
| --- | --- |
| 1 hour after meal^{1} | < 160 mg/dL (<8.9 mmol/L) |
1. Krall, LP and Deaser, RS: Joslin Diabetes Manual. Lea and Febiger. (1989) 138.
Cholesterol
According to NCEP classification, patient cholesterol ranges for non-diabetic, non-pregnant adults:
| Desirable blood cholesterol | <200 mg/dL (<5.17 mmol/L) |
| --- | --- |
| Borderline-high blood cholesterol | 200 mg/dL -239 mg/dL
(5.17 mmol/L – 6.18 mmol/L) |
| High blood cholesterol | >240 mg/dL (>6.21 mmol/L) |
1. National Cholesterol Education Program. Summary of the Second report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adults Treatment Panel II). JAMA 1993; 269:3015-23 Davidsohn & Henry, Clinical Diagnosis by Laboratory Methods. Todd-Sandford.
N. Proposed Labeling:
The labeling is sufficient and it satisfies the requirements of 21 CFR Part 809.10
O. Conclusion:
The submitted information in this premarket notification is complete and supports a substantial equivalence decision.
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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.