SUPERCHECK 1 BLOOD GLUCOSE MONITORING SYSTEM, MODEL 6268
K091815 · Biotest Medical Corp. · NBW · Nov 16, 2009 · Clinical Chemistry
Device Facts
Record ID
K091815
Device Name
SUPERCHECK 1 BLOOD GLUCOSE MONITORING SYSTEM, MODEL 6268
Applicant
Biotest Medical Corp.
Product Code
NBW · Clinical Chemistry
Decision Date
Nov 16, 2009
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 862.1345
Device Class
Class 2
Attributes
Pediatric
Indications for Use
The SuperCheck 1 Blood Glucose Monitoring System, Model 6268, is intended for use in the quantitative measurement of glucose in fresh capillary whole blood from the finger and the forearm. It is intended for use by healthcare professionals and people with diabetes mellitus at home and as an aid in monitoring the effectiveness of a diabetes control program. The SuperCheck 1 Blood Glucose Monitoring System is not intended for the diagnosis of or screening for diabetes mellitus, nor for use with neonates. The alternative site testing (forearm) in this system can only be used during steady-state blood glucose conditions. This system contains a speaking function that provides audible test results for users with low vision.
Device Story
System measures glucose in capillary whole blood via glucose oxidase amperometry; requires 0.7 uL sample; 6-second reaction time. Meter includes speaking function for visually impaired users; RS232 port for data transfer. Used by patients at home or healthcare professionals in clinical settings. Input: blood sample on test strip; Output: quantitative glucose concentration displayed on LCD and provided via audible voice output. Benefits: enables self-monitoring of blood glucose levels for diabetes management. Device uses thermistor for automatic temperature compensation. No coding required; meter and strip reference numbers must match.
Clinical Evidence
Performance evaluated via laboratory and clinical studies involving both healthcare professionals and lay users. Studies confirmed system performance meets intended use criteria. No specific sensitivity/specificity metrics provided in summary.
Technological Characteristics
Electrochemical glucose monitoring system. Includes speaking function for audible results. Supports alternate site testing (forearm).
Indications for Use
Indicated for quantitative glucose measurement in fresh capillary whole blood from finger or forearm in patients with diabetes mellitus. Intended for use by healthcare professionals and patients at home. Contraindicated for neonates and for diagnosis or screening of diabetes. Forearm testing restricted to steady-state glucose conditions.
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
Prodigy Voice Blood Glucose Monitoring System (k073118)
Submission Summary (Full Text)
{0}
# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY ASSAY AND INSTRUMENT COMBINATION TEMPLATE
A. 510(k) Number:
k091815
B. Purpose for Submission:
New device
C. Measurand:
Whole blood glucose
D. Type of Test:
Quantitative, glucose oxidase
E. Applicant:
Biotest Medical Corporation
F. Proprietary and Established Names:
SuperCheck 1 Blood Glucose Monitoring System
G. Regulatory Information:
1. Regulation section:
21 CFR 862.1345 Glucose Test System
2. Classification:
Class II
3. Product code:
NBW - Blood glucose test system, over the counter
CGA - Glucose oxidase, glucose test system
{1}
4. Panel:
Clinical Chemistry
H. Intended Use:
1. Intended use(s):
Refer to indications for use below.
2. Indication(s) for use:
The SuperCheck 1 Blood Glucose Monitoring System, Model 6268, is intended for use in the quantitative measurement of glucose in fresh capillary whole blood from the finger and the forearm. It is intended for use by healthcare professionals and people with diabetes mellitus at home and as an aid in monitoring the effectiveness of a diabetes control program. It is not intended for the diagnosis or screening for diabetes mellitus, and is not for use with neonates.
The alternative site testing (forearm) in this system can only be used during steady-state blood glucose conditions.
This system contains a speaking function that provides audible test results for users with low vision.
3. Special conditions for use statement(s):
It is not intended for the diagnosis of or screening for diabetes mellitus, and is not intended for use on neonates. For in vitro diagnostic use only, over-the-counter use, and prescription use. The device should not be used for patients who are dehydrated, in shock, critically ill, or experiencing a hyperglycemic-hypersmolar state.
4. Special instrument requirements:
Biotest Medical Corp., SuperCheck 1 Blood Glucose Monitoring System
I. Device Description:
The SuperCheck 1 Blood Glucose Monitoring System, Model 6268, consists of a blood glucose meter, blood glucose test strips, control solutions, the lancing device, and lancets. The system is available either as a meter alone or as a kit. The control solutions were previously cleared under k032029. The meter comes with a speaking function that provides audible test results for users with low vision. The SuperCheck 1 Model 6268 allows the forearm to be used as an alternative site.
J. Substantial Equivalence Information:
{2}
1. Predicate device name(s):
Prodigy Voice Blood Glucose Monitoring System
2. Predicate 510(k) number(s):
k073118
3. Comparison with predicate:
| Comparison Table | | |
| --- | --- | --- |
| Item | Device (k091815) | Predicate (k073118) |
| Indications for Use | The SuperCheck 1 Blood Glucose Monitoring System, Model 6268, is intended for use in the quantitative measurement of glucose in fresh capillary whole blood from the finger and the forearm. It is intended for use by healthcare professionals and people with diabetes mellitus at home and as an aid in monitoring the effectiveness of a diabetes control program. It is not intended for the diagnosis of or screening for diabetes mellitus, not for use with neonates. The alternative site testing (forearm) in this system can only be used during steady-state blood glucose conditions. This system contains a speaking function that provides audible test results for users with low vision. | The Prodigy Voice Blood Glucose Monitoring System is intended for use in the quantitative measurement of glucose in fresh capillary whole blood from the finger and the following alternative sites: the palm, the forearm, the upper-arm, the calf, and the thigh. It is intended for use by healthcare professionals and people with diabetes mellitus at home as an aid in monitoring the effectiveness of diabetes control program. It is not intended for the diagnosis of or screening for diabetes mellitus. The alternative site testing in this system can be used only during steady-state blood glucose conditions. This system contains a speaking functionality which provides step by step instructions to aid visually impaired persons. |
| Detection method | Amperometry | same |
| Enzyme | Glucose Oxidase (Aspergillus niger) | same |
| Temperature compensation | Automatic compensation with built-in thermister | same |
{3}
| Comparison Table | | |
| --- | --- | --- |
| Item | Device (k091815) | Predicate (k073118) |
| Sample volume | 0.7 uL | same |
| Reaction time | 6 seconds | 7 seconds |
| Measurement range | 20-600 mg/dL | same |
| Meter dimensions | 99(L) x 62(W) x 29(H) | 95(L) x 55(W) x 18(H) |
| Meter weight | 90 g | 75 g |
| Operating conditions | 10°C - 40°C, 20-80% R.H. | 10°C - 40°C, Below 85% R.H. |
| Strip calibration | No coding. The meter and test strip have the same reference number printed on the meter box and on the test strip box and vial. | One code for all lots, with the user checking that the code number that appears on the meter display and on the test strip vial is correct. |
| Memory feature | 500 measurements with day and time | 450 measurements with day and time |
| Day average | 7-, 14-, 28-, 60-, 90-day average glucose result | 7-, 14-, 21-, 28-, 60-, 90-day average glucose result |
| Auto Shut Off | 2 minutes | 3 minutes |
| Alarm | Beeping sound and/or error message in LCD display | same |
| Communication | RS232 port | same |
| Speaking function | Yes | same |
| Strip vial open-vial stability | 3-months | same |
K. Standard/Guidance Document Referenced (if applicable):
1. ISO 13640:2002. Stability Testing of In Vitro Diagnostic Reagents. (In Vitro Diagnostics).
2. EN 552:1994. Sterilization of medical devices. Validation and routine control of sterilization by irradiation.
3. EN 61326-1:2006. Electrical equipment for measurement, control, and laboratory use. EMC Requirements. General requirements.
4. ISO 10993-5:1999. Biological evaluation of medical devices, Part 5: Tests for in vitro cytotoxicity.
5. ISO 10993-10:2002. Biological evaluation of medical devices, Part 10: Tests for irritation and delayed-type hypersensitivity.
6. ISO 11137-1:1995. Sterilization of health care products. Requirements for validation and routine control of a sterilization process for medical devices.
7. ISO 14971:2007. Medical devices-Application of risk management to medical devices.
8. ISO 15197. In vitro diagnostic test systems. Requirements for blood-glucose monitoring systems for self-testing in managing diabetes mellitus.
9. EN 60601-1-1. Medical electrical equipment, Part 1-1. General requirements for safety. Safety requirements for medical electrical systems.
{4}
10. EN 60601-1-2:2001 (A1:2006). Medical electrical equipment, Part 1-2. General requirements for basic safety and essential performance. Electromagnetic Compatibility.
11. EN 60601-1:1988 (A1:1991, A2:1995). Medical electrical equipment, Part 1. General requirements for safety.
12. EN 61010-1:2001. Safety requirements for electrical equipment for measurement, control, and laboratory use, Part 1. General requirements.
13. IEC/EN 61010-2-101:2002. Safety requirements for electrical equipment for measurement, control, and laboratory use, Part 2-101. Particular requirements for in vitro diagnostic (IVD) medical equipment.
## L. Test Principle:
The test is based on the measurement of electrical current generated by the reaction of glucose with the reagent of the strip. The meter measures the current and displays the corresponding blood glucose level. The strength of the current produced by the reaction depends on the amount of glucose in the blood sample.
## M. Performance Characteristics (if/when applicable):
### 1. Analytical performance:
#### a. Precision/Reproducibility:
Precision studies to determine repeatability and intermediate precision were based on ISO 15197 standard. A repeatability study was conducted using blood samples at five different levels of glucose ranging from 49 to 391 mg/dL on three different reagent system lots, four packages per lot. Ten replicate measurements were obtained for each concentration and for each of twelve meters. An intermediate precision study was conducted using control material at three different glucose levels ranging from 46 to 366 mg/dL on three different reagent system lots, four packages per lot.
Measurements were obtained for each concentration and for each of twelve meters for a period of ten days. The mean, standard deviation (SD), and coefficients of variation (CV) were determined for each sample, see results below:
| Repeatability Data Summary | | | | | |
| --- | --- | --- | --- | --- | --- |
| Sample | 1 | 2 | 3 | 4 | 5 |
| Grand Mean (mg/dL) | 49 | 90 | 128 | 246 | 391 |
| Pooled SD (mg/dL) | 0.64 | 0.79 | 1.02 | 1.63 | 3.12 |
| Pooled CV | 1.31% | 0.88% | 0.80% | 0.66% | 0.80% |
| Intermediate Precision Data Summary | | | |
| --- | --- | --- | --- |
| Sample | 1 | 2 | 3 |
| Grand Mean (mg/dL) | 43 | 123 | 366 |
| Pooled SD (mg/dL) | 0.65 | 1.28 | 3.51 |
{5}
| Pooled CV | 1.41% | 1.04% | 0.96% |
| --- | --- | --- | --- |
# b. Linearity/assay reportable range:
A linearity study based on CLSI EP6-A standard was conducted on whole blood samples at twelve different glucose levels ranging from 20 to $605\mathrm{mg / dL}$ . Duplicate measurements for each glucose level were conducted on each of ten meters, three strip lots, and 10 vials per strip lot. Regression analysis showed a linear relationship between the SuperCheck 1 glucose monitoring system and the YSI-2300 reference method. The linear regression was as follows: $\mathrm{Y} = 1.0034\mathrm{X} + 7.958$ , $\mathrm{r}^2 = 0.9981$ , $\mathrm{n} = 360$ . The reportable range of the SuperCheck 1 glucose monitoring system was confirmed to be 20 to $600\mathrm{mg / dL}$ . If a sample is less than $20\mathrm{mg / dL}$ , the result is flagged by the meter as LO. If a sample result exceeds $600\mathrm{mg / dL}$ , the result is flagged by the meter as HI.
# c. Traceability, Stability, Expected values (controls, calibrators, or methods):
The stability of the SuperCheck 1 test strips was demonstrated by real-time stability studies. The unopened shelf life is 11 months and the open-vial stability is 3 months at the recommended storage temperatures of $8^{\circ}\mathrm{C}$ to $30^{\circ}\mathrm{C}$ .
Value assignment for use of the control solutions with the SuperCheck1 test strips is based on measurements using the YSI-2300 reference method after calibration with YSI 2747 calibrator solution (NIST SRM #917A Clinical Dextrose). The control solutions were previously cleared under k032029.
The acceptable ranges are printed on the test strip vial labels.
# d. Detection limit:
The measuring range of the SuperCheck 1 glucose monitoring system is 20 to 600 mg/dL. This range was verified by the linearity study (see section M.1.b of this decision summary).
# e. Analytical specificity:
Interferences Study: A study was performed based on the CLSI EP7-A standard to test for possible interference due to a number of endogenous and exogenous substances. Control samples spiked at glucose levels of 80 and $120\mathrm{mg / dL}$ were tested in five replicates with the SuperCheck 1 glucose monitoring system and in singlicate with the YSI-2300 reference method. Each potential interfering substance was evaluated using samples containing a low $(80\mathrm{mg / dL})$ and a high $(120\mathrm{mg / dL})$ glucose level and compared against a control pool after measurements on the SuperCheck 1 glucose monitoring system and the YSI-2300 reference method. The table below shows the levels with no interference when testing for glucose with the SuperCheck 1 glucose monitoring system:
{6}
| Substance | Reference/Therapeutic Level | No Interference at Listed Level |
| --- | --- | --- |
| Endogenous Substance | | |
| Bilirubin | 0.29~1.23 mg/dL | 20.8 mg/dL |
| Cholesterol | 114.2~201.2 mg/dL | 483.8 mg/dL |
| Creatinine | 0.6~1.3 mg/dL | 6.3 mg/dL |
| Hemoglobin | 100~200 mg/dL | 500 mg/dL |
| Triglycerides | 10.3~111.7 mg/dL | 1183.8 mg/dL |
| Uric Acid | 2.5~8.0 mg/dL | 10.9 mg/dL |
| Exogenous Substance | | |
| Acetaminophen | 1~3 mg/dL | 6.2 mg/dL |
| Ascorbic Acid | 0.4~2.0 mg/dL | 4.5 mg/dL |
| Caffeine | 0.5~2.0 mg/dL | 6 mg/dL |
| Dopamine | 0.03 mg/dL | 0.09 mg/dL |
| Ephedrine HCl | 1 mg/dL | 3.6 mg/dL |
| Ibuprofen | 1~7 mg/dL | 37.5 mg/dL |
| L-Dopa | 5 mg/dL | 1.9 mg/dL |
| Methyl-Dopa | 0.10~0.75 mg/dL | 1.5 mg/dL |
| Salicylate | 36 mg/dL | 115.5 mg/dL |
| Tetracycline | 0.2~0.5 mg/dL | 1.5 mg/dL |
| Tolbutamide | 5.4~10.8 mg/dL | 64 mg/dL |
| Anticoagulants | | |
| EDTA | 400 mg/dL | 800 mg/dL |
| Heparin | 4000 U/dL | 8000 U/dL |
The sponsor included the following limitation in the label:
Interference was observed for therapeutic level of L-Dopa. Uric acid, acetaminophen, ascorbic acid, and ibuprofen have no significant interference in normal therapeutic levels. However, the concentration in blood beyond the following levels may cause inaccurate results: uric acid (10.9 mg/dL), acetaminophen (6.2 mg/dL), ascorbic acid (4.5 mg/dL), and ibuprofen (37.5 mg/dL).
Hematocrit Study: A study was performed to evaluate the blood hematocrit (HCT) effect on the performance of the SuperCheck 1 glucose monitoring system across the measuring range of the assay. Whole blood samples were tested in duplicate with the SuperCheck 1 glucose monitoring system using three lots of strips/twelve vials per lot and eighteen meters. Glucose concentrations at each HCT level (30%, 32%, 35%, 40%, 46%, 50%, 56%, and 60%) were compared with results obtained with the YSI-2300 reference method. The data were within ± 10 mg/dL for glucose levels < 75 mg/dL and within ± 15% for glucose levels ≥ 75 mg/dL for the claimed HCT range. The sponsor included the following limitation in the label: Hematocrit in the range of 32-56% has been shown not to affect the glucose results. If you do not know your hematocrit level, consult with your healthcare professional.
{7}
Altitude Study: The effect of altitude was evaluated by testing whole blood samples at 120 and 240 mg/dL on the SuperCheck 1 glucose monitoring system using three lots of strips/ten vials per lot and ten meters. Glucose concentrations at different altitude levels were compared with results obtained with the Hemocue Glucose Analyzer reference method. The measurements were acceptable when compared to the reference method results. The sponsor included the following limitation in the label: The test strips may be used at altitudes up to 5,280 feet without an effect on test results.
Humidity Study: The effect of humidity on the performance of the SuperCheck 1 glucose monitoring system was evaluated at three glucose levels (Low-76.5-79.4 mg/dL; Medium-136-144 mg/dL; and High-329-338 mg/dL) using whole blood samples. Ten replicates were tested at each glucose level with the SuperCheck 1 glucose monitoring system using three lots of strip/ten vials per lot and ten meters. Glucose concentrations at each humidity level (20%, 40%, 60%, 80%, and 95% R.H.) were compared with results obtained with the YSI-2300 reference method. The study results demonstrated that humidity between 20% R.H. and 95% R.H. did not affect glucose measurements. Results fell within ± 7%.
Temperature Study: A study was performed to evaluate the effect of temperature on the performance of the SuperCheck 1 glucose monitoring at three glucose levels (Low-77.8-79 mg/dL; Medium-137-142 mg/dL; and High-325-335 mg/dL) using whole blood samples. Ten replicates were tested at each glucose level with the SuperCheck 1 glucose monitoring system using three lots of strip/ten vials per lot and ten meters. Glucose concentrations at each temperature level (10, 20, 30, and 40°C) were compared with results obtained with the YSI-2300 reference method. The study results demonstrated that temperatures between 10°C and 40°C did not affect glucose measurements. Results fell within ± 7%.
f. Assay cut-off:
Not applicable
2. Comparison studies:
a. Method comparison with predicate device:
Comparison studies were performed with the YSI-2300 reference method. System accuracy, lay-user performance evaluation, and a visually impaired user study were performed. Results were subjected to acceptance criteria described in the ISO 15197 standard.
System Accuracy: In the method comparison study, samples from the finger and forearm of 159 subjects were used for blood glucose measurements by healthcare professionals. From these, 26 capillary whole blood samples were adjusted to achieve the extreme low and high glucose concentrations recommended in the ISO 15197
{8}
standard. Measurements obtained with the SuperCheck 1 glucose monitoring system were compared to those obtained with the YSI-2300 reference method. The study was performed with three SuperCheck 1 glucose monitoring systems. The accuracy data is summarized in tables below.
| Accuracy Study Regression Statistics | Finger | Forearm |
| --- | --- | --- |
| Number of samples (n) | 159 | 159 |
| Range of YSI Glucose Values (mg/dL) | 25-500 | 25-500 |
| Slope | 1.0254 | 1.0094 |
| Intercept | -0.5618 | 2.3951 |
| Correlation coefficient | 0.9972 | 0.9954 |
| R square | 0.9945 | 0.9908 |
| Accuracy Study Results | | | | |
| --- | --- | --- | --- | --- |
| Glucose < 75 mg/dL | | | | |
| | Within ± 5 mg/dL | Within ±10 mg/dL | | Within ± 15 mg/dL |
| Finger Sample | 10/19 (53%) | 17/19 (89%) | | 19/19 (100%) |
| Forearm Sample | 12/19 (63%) | 19/19 (100%) | | 19/19 (100%) |
| | | | | |
| Glucose ≥ 75 mg/dL | | | | |
| | Within ± 5 % | Within ±10 % | Within ± 15 % | |
| Finger Sample | 98/140 (70%) | 130/140 (93%) | 138/140 (99%) | |
| Forearm Sample | 72/140 (51%) | 120/140 (86%) | 135/140 (96%) | |
| | | | | |
Lay-user Study: In the user performance study, 134 subjects were used for blood glucose measurements from the finger and the forearm. Subjects were provided with instructions for use and tested their own capillary whole blood samples from both the finger and forearm using the SuperCheck 1 glucose monitoring system. Healthcare professionals then tested these samples using the SuperCheck 1 glucose monitoring system and the YSI-2300 reference method. The study was performed with three SuperCheck 1 glucose monitoring systems. The accuracy data is summarized in tables below.
| Lay-user Study Regression Statistics | | |
| --- | --- | --- |
| Finger | User vs. Reference | User vs. Professional |
| Number of samples (n) | 134 | 134 |
| Range of YSI Glucose Values (mg/dL) | 63-490 | 63-490 |
| Slope | 1.0685 | 1.0306 |
| Intercept | -1.6786 | -0.2492 |
| Correlation coefficient | 0.9902 | 0.9906 |
| R square | 0.9806 | 0.9813 |
| Forearm | User vs. Reference | User vs. Professional |
{9}
| Number of samples (n) | 134 | 134 |
| --- | --- | --- |
| Range of YSI Glucose Values (mg/dL) | 63-490 | 63-490 |
| Slope | 1.0321 | 1.0226 |
| Intercept | 2.5219 | -0.7381 |
| Correlation coefficient | 0.9869 | 0.9910 |
| R square | 0.974 | 0.982 |
| Lay-user Study Results | | | | |
| --- | --- | --- | --- | --- |
| Glucose < 75 mg/dL | | | | |
| Finger Sample | Within ± 5 mg/dL | Within ±10 mg/dL | Within ± 15 mg/dL | |
| Patient (vs. YSI) | 2/8 (25%) | 7/8 (88%) | 8/8 (100%) | |
| Professional (vs. YSI) | 5/8 (63%) | 8/8 (100%) | 8/8 (100%) | |
| | | | | |
| Forearm Sample | Within ± 5 mg/dL | Within ±10 mg/dL | Within ± 15 mg/dL | |
| Patient (vs. YSI) | 1/8 (13%) | 4/8 (50%) | 8/8 (100%) | |
| Professional (vs. YSI) | 6/8 (75%) | 8/8 (100%) | 8/8 (100%) | |
| | | | | |
| Glucose ≥ 75 mg/dL | | | | |
| Finger Sample | Within ± 5 % | Within ±10 % | Within ± 15 % | Within ± 20% |
| Patient (vs. YSI) | 40/126 (32%) | 87/126 (69%) | 112/126(89%) | 123/126 (98%) |
| Professional (vs. YSI) | 93/126 (74%) | 116/126 (92%) | 124/126 (98%) | 126/126 (100%) |
| | | | | |
| Forearm Sample | Within ± 5 % | Within ±10 % | Within ± 15 % | Within ± 20% |
| Patient (vs. YSI) | 39/126 (31%) | 77/126 (61%) | 105/126 (83%) | 120/126 (95%) |
| Professional (vs. YSI) | 63/126 (50%) | 107/126 (85%) | 121/126 (96%) | 126/126 (100%) |
Visually Impaired User Study: Fifty subjects with visual impairment were enrolled and user performance testing was performed using the SuperCheck 1 glucose monitoring system and the YSI-2300 reference method. The subjects in this test included those with vision category from 1 to 5, diagnosed per WHO Guidelines as ICD Version 2007. User performance was evaluated with subjects using the device with audible English language instructions. Subjects tested themselves on one meter and then were tested by healthcare professionals. Usability of the device was evaluated by users with a questionnaire.
| Visually Impaired User Study Regression Statistics | User vs. Reference | User vs. Professional |
| --- | --- | --- |
| Number of samples (n) | 50 | 50 |
| Range of YSI Glucose Values (mg/dL) | 64-342 | 64-342 |
| Slope | 1.0623 | 1.0161 |
| Intercept | -5.2254 | -1.5977 |
| Correlation coefficient | 0.9899 | 0.9971 |
| R square | 0.9799 | 0.9942 |
{10}
| Visually Impaired User Study Results | | | | |
| --- | --- | --- | --- | --- |
| Glucose < 75 mg/dL | | | | |
| | Within ± 5 mg/dL | Within ±10 mg/dL | Within ± 15 mg/dL | |
| User (vs. YSI) | 1/4 (25%) | 3/4 (75%) | 4/4 (100%) | |
| | | | | |
| Glucose ≥ 75 mg/dL | | | | |
| | Within ± 5 % | Within ±10 % | Within ± 15 % | Within ± 20% |
| User (vs. YSI) | 24/46 (52%) | 37/46 (80%) | 44/46 (96%) | 46/46 (100%) |
b. Matrix comparison:
Not applicable
3. Clinical studies:
a. Clinical Sensitivity:
Not applicable
b. Clinical specificity:
Not applicable
c. Other clinical supportive data (when a. and b. are not applicable):
Not applicable
4. Clinical cut-off:
Not applicable
5. Expected values/Reference range:
Expected plasma blood glucose values for normal, nondiabetic adults are as follows:
Before eating < 100 mg/dL
Two hours after meals < 140 mg/dL
Reference: American Diabetes Association: Diabetes Care, January 2007, volume 30 (suppl. 1) S42-S47.
N. Instrument Name:
Biotest Medical Corp., SuperCheck 1 Blood Glucose Meter
{11}
O. System Descriptions:
1. Modes of Operation:
Each test strip is single use and must be replaced with a new strip for additional readings. The labeling and user guide specify the lancet and the strip are for single use only and instruct the user to discard immediately after use.
Does the applicant’s device contain the ability to transmit data to a computer, webserver, or mobile device?:
Yes ☐ X or No ☐
Does the applicant’s device transmit data to a computer, webserver, or mobile device using wireless transmission?:
Yes ☐ or No ☐ X
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:
There is no sample identification function with this device. Samples are applied directly to the test strip as they are collected.
4. Specimen Sampling and Handling:
This device is intended to be used with capillary whole blood from the finger and the forearm (AST) which can be applied directly to the test strip.
5. Calibration:
No coding. The meter and test strip have the same reference number printed on the meter box and on the test strip box and vial.
6. Quality Control:
The sponsor provides one level of control (Medium) with this glucose monitoring system. Two additional controls (Low and High) are available when requested by the customer using the contact information provided in the User Manual. When the test strip is inserted into the meter, each control can be measured by following the instructions for “Running a Control Solution Test” provided in the User Manual for the meter. An acceptable range for each control level is printed on the test strip vial label. The user is instructed to
{12}
contact a customer assistance line during operational hours or a healthcare provider outside hours of operation if the control results fall outside these ranges. Controls values and value ranges are assigned as described in section M.1.c of this decision summary.
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.
Predicate graph will load when search results are available.
Embedding visualization will load when search results are available.
PDF viewer will load when search results are available.
Loading panels...
Select an item from Submissions
Click any panel, subpart, regulation, product code, or device to see details here.
Section Matches
Results will appear here.
Product Code Matches
Results will appear here.
Special Control Matches
Results will appear here.
Loading collections...
Loading
My Alerts
You will receive email notifications based on the filters and frequency you set for each alert.
Sort by:
Create Alert
Search Filters
Agent Token
Create a read-only bearer token for Claude, ChatGPT, or other agents that can call HTTP APIs.
Copy this now. It will not be shown again.
Connected apps
Apps you authorized through browser sign-in. Disconnecting revokes their access immediately.
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.