The GE Blood Glucose Monitoring System 333 is intended to be used for the quantitative measurement of glucose (sugar) in fresh capillary whole blood samples drawn from the fingertips, forearm, or palm. The GE Blood Glucose Monitoring System 333 is intended to be used by a single person and should not be shared. The GE Blood Glucose Monitoring System 333 is intended for self-testing outside the body (in vitro diagnostic use) by people with diabetes at home as an aid to monitor the effectiveness of diabetes control. The GE Blood Glucose Monitoring System 333 should not be used for the diagnosis of, or screening for diabetes or for neonatal use. Alternative site testing should be done only during steady-state times (when glucose is not changing rapidly). The GE Blood Glucose Test Strips 333 is for use with the GE Blood Glucose Meter 333 to quantitatively measures glucose (sugar) in fresh capillary whole blood samples drawn from the fingertips, forearm, or palm.
Device Story
System measures capillary whole blood glucose via amperometric assay; glucose oxidase reagent on test strip reacts with glucose to produce electrical current proportional to concentration. Meter converts current to glucose value; displays result. Used at home by patients with diabetes; single-patient use only. Includes meter, test strips, control solutions, lancing device. Bluetooth 4.0 connectivity for data transmission. Results aid in monitoring diabetes control; not for diagnosis or insulin dose calculation via alternate site testing. Benefits include convenient, rapid (5s) glucose monitoring.
Clinical Evidence
Clinical user performance study conducted at 10 locations with 157 participants. Participants performed finger, palm, and forearm testing without assistance. Results compared to YSI 2300 reference method. Accuracy met requirements: for glucose ≥75 mg/dL, 98.7% of fingertip results were within ±15 mg/dL of reference. Linear regression showed high correlation (r=0.99) across all sites. Bench testing confirmed performance across hematocrit ranges, altitudes, and environmental conditions.
Technological Characteristics
Glucose oxidase electrochemical sensor; 20-600 mg/dL range; 0.75 µL sample volume; 5-second test time. Powered by two 1.5V AAA batteries. Features LCD display, 500-test memory, and Bluetooth 4.0 (LE) connectivity. Operating range: 10-40°C, 10-90% RH. Hematocrit range: 20-60%.
Indications for Use
Indicated for people with diabetes for self-testing of blood glucose levels in fresh capillary whole blood (fingertip, forearm, or palm) to monitor diabetes control. Not for diagnosis or screening of diabetes or for neonatal use.
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
Rightest Blood Glucose Monitoring System GM550 (k092052)
Submission Summary (Full Text)
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1
# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY ASSAY AND INSTRUMENT COMBINATION TEMPLATE
A. 510(k) Number:
k143387
B. Purpose for Submission:
New Device
C. Measurand:
Capillary whole blood glucose from the fingertip, forearm or palm
D. Type of Test:
Quantitative Amperometric assay (Glucose Oxidase)
E. Applicant:
Bionime Corporation
F. Proprietary and Established Names:
GE Blood Glucose Monitoring System 333
G. Regulatory Information:
1. Regulation section:
| Product Code | Classification | Regulation Section | Panel |
| --- | --- | --- | --- |
| NBW | Class II | 21 CFR 862.1345 Blood Glucose test system | Clinical Chemistry 75 |
| CGA | Class II | 21 CFR 862.1345 Glucose Oxidase, Glucose | Clinical Chemistry 75 |
H. Intended Use:
1. Intended use(s):
See indication(s) for use below
2. Indication(s) for use:
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The GE Blood Glucose Monitoring System 333 is intended to be used for the quantitative measurement of glucose (sugar) in fresh capillary whole blood samples drawn from the fingertips, forearm, or palm. The GE Blood Glucose Monitoring System 333 is intended to be used by a single person and should not be shared.
The GE Blood Glucose Monitoring System 333 is intended for self-testing outside the body (in vitro diagnostic use) by people with diabetes at home as an aid to monitor the effectiveness of diabetes control. The GE Blood Glucose Monitoring System 333 should not be used for the diagnosis of, or screening for diabetes or for neonatal use. Alternative site testing should be done only during steady-state times (when glucose is not changing rapidly).
The GE Blood Glucose Test Strips 333 is for use with the GE Blood Glucose Meter 333 to quantitatively measures glucose (sugar) in fresh capillary whole blood samples drawn from the fingertips, forearm, or palm.
3. Special conditions for use statement(s):
- Test Strips are designed for use with capillary whole blood samples. Do not use serum or plasma samples.
- Not for screening or diagnosis of diabetes mellitus.
- Not for use on critically ill patients, patients in shock, dehydrated patients or hyper-osmolar patients.
- Not for neonatal use
- The glucose meter and lancing device are for single patient use. Do not use on multiple patients. Do not share meter or lancing device with anyone including other family members.
- Alternate site testing should not be used to calibrate continuous glucose monitoring systems (CGMs).
- Alternate site testing should only be done during steady-state times (when glucose is not changing rapidly).
- Results from alternate site testing should not be used in insulin dose calculation.
4. Special instrument requirements:
GE Blood Glucose Meter 333
I. Device Description:
The GE Blood Glucose Monitoring System 333 (for single patient use) consists of the following components: GE Blood Glucose Meter 333, GE Blood Glucose Test Strip 333 (sold separately), two levels of Rightest Control Solution GC550 (Level 2 and Level 4, previously cleared under k092052), lancets, lancing device, carrying case and User's manual.
Each GE Blood Glucose Test Strip 333 test strip contains the following reagent composition:
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glucose oxidase (Aspergillus niger) 14.8%, potassium ferricyanide 39.5%, and other non-reactive ingredients.
## J. Substantial Equivalence Information:
1. Predicate device name(s):
Rightest Blood Glucose Monitoring System GM550
2. Predicate 510(k) number(s):
k092052
3. Comparison with predicate:
| Similarities | | |
| --- | --- | --- |
| Item | Candidate Device
GE Blood Glucose Monitoring System 333
(k143387) | Predicate Device
Rightest Blood Glucose Monitoring System GM550
(k092052) |
| Intended Use / Indication for Use | It is intended to be used for quantitative measurement of glucose as an aid to monitor the effectiveness of diabetes control in people with diabetes. | Same |
| Measuring Range | 20 – 600 mg/dL | Same |
| Sample Type / Site | Capillary whole blood (finger, forearm and palm) | Same |
| Measurement Technology | Oxidase Electrochemical Sensor | Same |
| Test Time | 5 seconds | Same |
| Coding | Auto coding | Same |
| Operating Temperature Range | 10 – 40 °C (50 - 104°F) | Same |
| Operating Relative Humidity Range | 10 – 90% | Same |
| Altitude | 0 to 10,745 feet
(0 to 3275 meters) | Same |
| Memory Capacity | 500 blood glucose test and control solution results with date and time | Same |
| Control solution | 2 Levels (Levels 2 and 4) | Same |
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| Differences | | |
| --- | --- | --- |
| Item | Candidate Device
GE Blood Glucose Monitoring System
(k143387) | Predicate Device
Rightest Blood Glucose Monitoring System GM550
(k092052) |
| Hematocrit Range | 20-60% | 30-60% |
| Minimum Sample Volume | 0.75 μL | 1 μL |
| Wireless Module | Bluetooth 4.0 (Low energy) | No |
## K. Standard/Guidance Document Referenced (if applicable):
- ISO 14971:2007, Medical devices – Application of risk management to medical devices.
- IEC 60601-1-2, Medical electrical equipment Part 1-2: General Requirements for Safety-Collateral Standard: Electromagnetic Compatibility- Requirements and tests.
- IEC 60601-1, Medical Electrical Equipment-Part 1: General Requirements for Safety.
- IEC 61000-4-2 Electromagnetic compatibility (EMC)-Part 4-2: Testing and measurement techniques-Electrostatic discharge immunity test.: 2008
- IEC 61000-4-3: Electromagnetic compatibility (EMC) – Part 4-3 2006+A1:2007: Testing and measurement techniques-Radiated, radio-frequency, electromagnetic field immunity test.
- IEC 61000-4-8, Electromagnetic compatibility (EMC)-Part 4-8: Testing and measurement techniques-Power frequency magnetic field immunity test.
- CLSI EP7-A2, Interference Testing in Clinical Chemistry; Approved Guideline.
## L. Test Principle:
The GE Blood Glucose Monitoring System 333 measures glucose amperometrically. The reaction of glucose oxidase and potassium ferricyanide in the test strip with glucose in the sample produces an electrical current which is proportional to the amount of glucose in the sample. The meter measures the current and converts it to the corresponding glucose concentration, which is displayed on the meter.
## M. Performance Characteristics (if/when applicable):
### 1. Analytical performance:
#### a. Precision/Reproducibility:
The sponsor performed within-run precision studies using venous blood samples diluted or spiked to five glucose concentrations (30-50, 51-110-, 111-150, 151-200, 251-400 mg/dL) across the claimed measuring range. Samples were tested using three lots of strips and 10 meters per test strip lot. Ten replicates were tested per meter, test strip lot and glucose concentration. Results are summarized below:
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Within-run precision:
| Glucose Level (mg/dL) | n | Strip Lot | Mean (mg/dL) | SD (mg/dL) | %CV |
| --- | --- | --- | --- | --- | --- |
| (30-50) | 100 | 1 | 42.4 | 1.7 | 4.0 |
| | 100 | 2 | 45.6 | 1.7 | 3.8 |
| | 100 | 3 | 40.5 | 1.6 | 3.9 |
| | Combined | | | 1.7 | 3.9 |
| (51-110) | 100 | 1 | 90.2 | 1.5 | 1.6 |
| | 100 | 2 | 92.4 | 1.3 | 1.4 |
| | 100 | 3 | 89.0 | 1.3 | 1.5 |
| | Combined | | | 1.4 | 1.5 |
| (111-150) | 100 | 1 | 131.7 | 1.7 | 1.3 |
| | 100 | 2 | 130.9 | 1.7 | 1.3 |
| | 100 | 3 | 129.1 | 1.5 | 1.2 |
| | Combined | | | 1.7 | 1.3 |
| (151-250) | 100 | 1 | 215.1 | 3.1 | 1.4 |
| | 100 | 2 | 213.7 | 2.8 | 1.3 |
| | 100 | 3 | 212.6 | 3.2 | 1.5 |
| | Combined | | | 3.0 | 1.4 |
| (251-400) | 100 | 1 | 364.1 | 5.0 | 1.4 |
| | 100 | 2 | 357.7 | 4.6 | 1.3 |
| | 100 | 3 | 357.5 | 4.4 | 1.2 |
| | Combined | | | 4.7 | 1.3 |
Intermediate precision was evaluated using three lots of test strips and ten meters. Glucose controls solutions in three concentrations ranges (32-52, 82-115, 238-330 mg/dL) were used and each concentration was measured 10 times, with each of three test strip lots per day, for 10 days. The evaluation was completed by 2 operators (5 meters were used per operator). Results are summarized below:
Intermediate precision:
| Control Level (mg/dL) | n | Strip Lot | Mean (mg/dL) | SD (mg/dL) | %CV |
| --- | --- | --- | --- | --- | --- |
| 32-52 | 100 | 1 | 41.8 | 1.2 | 2.9 |
| | 100 | 2 | 42.0 | 1.3 | 3.1 |
| | 100 | 3 | 39.3 | 1.3 | 3.4 |
| | Combined | | | 1.3 | 3.1 |
| 82-115 | 100 | 1 | 96.9 | 1.6 | 1.6 |
| | 100 | 2 | 96.2 | 1.5 | 1.6 |
| | 100 | 3 | 94.0 | 1.5 | 1.6 |
| | Combined | | | 1.5 | 1.6 |
| 238-330 | 100 | 1 | 285.4 | 4.1 | 1.4 |
| | 100 | 2 | 282.1 | 4.2 | 1.5 |
| | 100 | 3 | 279.8 | 3.7 | 1.3 |
| | Combined | | | 4.0 | 1.4 |
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b. Linearity/assay reportable range:
Linearity was evaluated using 3 test strip lots and 15 prepared venous blood glucose samples. Glucose concentrations of these levels measured using an established laboratory reference method (YSI 2300 Analyzer) was as follows: 0, 15, 23, 49, 91, 135, 193, 250, 302, 361, 405, 468, 538, 575, 604 mg/dL. Each glucose level was measured in triplicate with each of the 3 test strip lots and the values from the GE Blood Glucose Monitoring System 333 were compared with those obtained from the reference method. Results from regression analysis:
Test Strip Lot 1: y = 0.9928x - 0.4439; R² = 0.9992
Test Strip Lot 2: y = 0.9886x + 0.0378; R² = 0.9987
Test Strip Lot 3: y = 0.9923x + 0.2624; R² = 0.9988
y = 0.9912x - 0.0479; R² = 0.9990 for the three lots combined
The results of the study support the sponsors claimed glucose measuring range of 20-600 mg/dL. Data from the bench studies and software verification studies were provided to demonstrate that if a sample is less than 20 mg/dL glucose, the result displayed by the meter is "LO" and if the sample result exceeds 600 mg/dL glucose, the result displayed by the meter is "HI."
c. Traceability, Stability, Expected values (controls, calibrators, or methods):
Traceability
The GE Blood Glucose Monitoring System 333 is traceable to the NIST 917b dry D-glucose reference material.
Test Strip Stability
The GE Blood Glucose Test Strips 333 remains unchanged compared to the test strips of the predicate device cleared under k092052. Only the brand name of the glucose test strip has been changed from the Rightest Blood Glucose Test Strips GS550 to the GE Blood Glucose Test Strips 333. Test strip stability was established in k092052 to support a 12 month shelf life when stored at unopened at 39°F to 86°F (4°C to 30°C) and open vial stability of 6 months when stored within the recommended storage temperature range of 39°F to 86°F (4°C to 30°C) and relative humidity of 10% to 90%.
Control Solution Value Assignment and Stability
The GE Blood Glucose Monitoring System 333 is used with the Rightest Control Solution GC550 (k092052). Stability of control solutions was established with real-time studies in k092052. Protocols and acceptance criteria were adequate to support a shelf-life of 24 months and open vial stability of 90 days when stored between 39°F to 86°F (4°C to 30°C) and tightly closed after use.
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Value assignment for use of the control solutions with the Rightest GS550 blood glucose test strips is based on measurements using an appropriately calibrated established laboratory reference method (YSI 2300 analyzer calibrated with YSI 2747 calibrator solutions, NIST SRM #917b Clinical Dextrose). The values for the Control Solutions were assigned by repeat analysis using three different lots test strips and ten meters. The mean and standard deviation are used to establish the acceptable range for the strips. The range for each control solution is provided in the labeling.
d. Detection limit:
See linearity study
e. Analytical specificity:
To assess potential interference the sponsor used three test strip lots to evaluate two glucose concentration intervals (60-100 and 150-300 mg/dL) spiked with potentially interfering substances at therapeutic and toxic levels. Each sample was analyzed 5 times with 5 meters to analyze the 19 substances tested. Glucose values measured with the GE Blood Glucose Monitoring System 333 with test samples (containing potential interfering substances) were compared with values measured from control conditions (without potential interfering substances). Interference was calculated as $\left(\left(\mathrm{Conc.}_{\mathrm{Test}} - \mathrm{Conc.}_{\mathrm{Control}}\right) / \mathrm{Conc.}_{\mathrm{Control}}\times 100\right)$ , and the sponsor defined significant interference as $\leq 10\%$ . Results are presented in the table below:
| Potential Interfering Substance | Highest Concentration at which no significant interference was observed (mg/dL) |
| --- | --- |
| Acetaminophen | 20 |
| Ascorbic Acid | 5 |
| Dopamine HCl | 2.5 |
| Ibuprofen | 50 |
| L-Dopa | 3 |
| Methyl Dopa | 1.5 |
| Salicylic Acid | 20 |
| Tetracycline | 1.5 |
| Tolbutamide | 100 |
| Bilirubin-unconjugated | 40 |
| Cholesterol | 600 |
| Creatinine HCl | 10 |
| Triglycerides | 3000 |
| Uric Acid | 10 |
| Maltose | 200 |
| Xylose | 40 |
| Galactose | 200 |
| Lactose | 50 |
| Icodextrin | 500 |
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Based on these results, the sponsor has the following limitations in the labeling: High concentrations of Uric acid $\geq 10\mathrm{mg / dL}$ , Cholesterol $\geq 600\mathrm{mg / dL}$ , and Ascorbic acid (Vitamin C) $\geq 5\mathrm{mg / dL}$ may interfere with the glucose test causing inaccurate test results.
f. Assay cut-off:
Not applicable
# 2. Comparison studies:
a. Method comparison with predicate device:
To assess system accuracy of the GE Blood Glucose Monitoring System 333, healthcare professionals tested 103 capillary blood samples from the fingertip, palm, and forearm, ranging in glucose concentration from $21.9 - 591.0\mathrm{mg / dL}$ , using 2 meters and 3 lots of test strips. Results were compared to the same samples measured using an established laboratory reference method (YSI 2300 analyzer). Five samples $<45\mathrm{mg / dL}$ and five samples $>400\mathrm{mg / dL}$ were altered.
The meter results relative to reference method are summarized in the tables below:
Fingertip: System Accuracy for blood glucose concentration $< 75 \, \text{mg/dL}$
| Number of test results | Within ± 5 mg/dL | Within ± 10 mg/dL | Within ± 15 mg/dL |
| --- | --- | --- | --- |
| 19 | 12/19 (63.2%) | 19/19 (100.0%) | 19/19 (100.0%) |
Fingertip: System Accuracy for blood glucose concentration $\geq 75\mathrm{mg / dL}$
| Number of test results | Within ± 5 mg/dL | Within ± 10 mg/dL | Within ± 15 mg/dL |
| --- | --- | --- | --- |
| 84 | 67/84 (79.8%) | 84/84(100%) | 84/84(100.0%) |
Linear regression: $\mathrm{Y} = {1.000}\mathrm{X} + - {1.51};\mathrm{r} = {0.998}$
Palm: System Accuracy for blood glucose concentration $< 75 \, \text{mg/dL}$
| Number of test results | Within ± 5 % | Within ± 10 % | Within ± 15 % |
| --- | --- | --- | --- |
| 19 | 10/19 (69.6%) | 19/19 (100%) | 19/19(100.0%) |
Palm: System Accuracy for blood glucose concentration $\geq 75\mathrm{mg / dL}$
| Number of test results | Within ± 5 % | Within ± 10 % | Within ± 15 % |
| --- | --- | --- | --- |
| 84 | 59/84 (70.2%) | 81/84 (99.8%) | 84/84 (100.0%) |
Linear regression: $\mathrm{Y} = {1.010}\mathrm{X} + - {2.68};\mathrm{r} = {0.998}$
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9
Forearm: System Accuracy for blood glucose concentration <75 mg/dL
| Number of test results | Within ± 5 % | Within ± 10 % | Within ± 15 % |
| --- | --- | --- | --- |
| 19 | 13/19 (68.4%) | 18/19 (94.7%) | 19/19 (100%) |
Forearm: System Accuracy for blood glucose concentration ≥75 mg/dL
| Number of test results | Within ± 5 % | Within ± 10 % | Within ± 15 % |
| --- | --- | --- | --- |
| 84 | 50/84 (59.5%) | 80/84 (95.2%) | 84/84 (100.0%) |
Linear regression: Y=1.006X+0.74; r = 0.993
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):
User performance study
To assess the performance of the GE Blood Glucose Monitoring System 333 in the hands of the intended users a study was conducted at clinical centers and home-environment simulated sites at 10 locations. The study participants were provided with the User's Manual in English and performed finger stick, palm and forearm tests without additional instruction or assistance. A technician collected additional samples from each participant for measurement on an established laboratory reference method (YSI 2300 analyzer). Sufficient sample volume for measurement with the reference method was obtained from 157 study participants. Three study participants failed to obtain sufficient sample volume for forearm testing. Results from participants were compared to results obtained with the reference method. The range of glucose values tested was 67.4 - 480 mg/dL. Three test strip lots were used in the study. The results are summarized below:
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Lay user result vs. Reference Method
Glucose concentrations <75 mg/dL
| Site | Within ± 5 mg/dL | Within ± 10 mg/dL | Within ± 15 mg/dL | Within ± 20 mg/dL |
| --- | --- | --- | --- | --- |
| Fingertip | 4/4 (100.0%) | 4/4 (100.0%) | 4/4 (100.0%) | 4/4 (100.0%) |
| Palm | 4/4 (100.0%) | 4/4 (100.0%) | 4/4 (100.0%) | 4/4 (100.0%) |
| Forearm | 3/4 (75.0%) | 4/4 (100.0%) | 4/4 (100.0%) | 4/4 (100.0%) |
Glucose concentrations ≥75 mg/dL
| Glucose ≥75 mg/dL | Within ± 5 mg/dL | Within ± 10 mg/dL | Within ± 15 mg/dL | Within ± 20 mg/dL |
| --- | --- | --- | --- | --- |
| Fingertip | 70/153 (45.8%) | 136/153 (88.9%) | 151/153 (98.7%) | 153/153 (100.0%) |
| Palm | 76/153 (49.7%) | 131/153 (85.6%) | 153/153 (100.0%) | 153/153 (100.0%) |
| Forearm | 78/150 (52.0%) | 123/150 (82.0%) | 147/153 (98.0%) | 147/150 (98.0.0%) |
Linear regression analysis:
| Layperson | fingertip vs. reference -plasma | palm vs. reference -plasma | forearm vs. reference -plasma |
| --- | --- | --- | --- |
| Test number (n) | 157 | 157 | 154 |
| Slope | 1.01 | 1.00 | 1.00 |
| Intercept | -0.19 | 2.02 | -0.89 |
| r | 0.99 | 0.99 | 0.99 |
4. Clinical cut-off:
Not applicable
5. Expected values/Reference range:
Expected glucose values for persons without diabetes:
| Status | Range (mg/dL) |
| --- | --- |
| Fasting | <100 mg/dL |
| Two hours after meals | 140 mg/dL |
Reference:
American Diabetes Association: Diabetes Care, January 2015, volume 38 (Suppl. 1) S8-S16.
{10}
11
N. Instrument Name:
GE Blood Glucose Meter 333
O. System Descriptions:
1. Modes of Operation:
Each test strip is single use and requires a sample volume of 0.75 µL.
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 ☐ X ☐ or No ☐
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.
The meter automatically distinguishes control solution from blood and marks control solution tests with a check “cs” icon and excludes them from average calculations.
The GE Blood Glucose Monitoring Meter 333 memory stores up to 500-blood glucose test results (including control solution results) with the date and time.
4. Specimen Sampling and Handling:
The glucose test is intended to be used with capillary whole blood from the fingertip, palm or forearm. The whole blood sample is applied directly to the test strip by capillary action.
{11}
5. Calibration:
There is no calibration required for the blood glucose meter by the user. The meter is automatically coded.
6. Quality Control:
Two levels of aqueous glucose control solutions are available with this system, Level 2 and Level 4. These solutions are available for purchase separately. Recommendations on when to test the control materials are provided in the labeling. An acceptable range for each control level is printed on the test strip bottle label. The user is cautioned not to use the meter if the control result falls outside these ranges.
P. Other Supportive Instrument Performance Characteristics Data Not Covered In The "Performance Characteristics" Section above:
1. Sample volume Study:
The GE Blood Glucose Monitoring System 333 was tested with venous blood at three glucose concentration intervals (40-60, 80-120, and 300-330 mg/dL) and nine specimen volumes. For each glucose interval, the specimen volumes were adjusted to 0.60, 0.65, 0.70, 0.75, 0.80, 1.00, 1.25, 2.00, and 3.00 µL. Each sample was measured in three replicates for each of the three strips and the same sample was also measured by an established laboratory reference method (YSI 2300 analyzer). The bias for above replicates in each test strip lot calculated. Results support the claimed minimum sample volume of 0.75 µL.
2. Altitude Study:
To evaluate the effects of altitude, three test strip lots were tested with 3 meters using three whole blood samples with glucose concentrations of 50-75, 80-120, and 270-330 mg/dL. The samples were tested at 0, 1000, 2000, and 3275 m sea level. Results obtained were compared with those obtained with an established laboratory reference method (YSI 2300 analyzer). The results demonstrate acceptable bias relative to the reference method to support the claim in the labeling that altitudes up to 10,745 ft. (3275 meters) do not affect device performance.
3. Hematocrit Study:
The GE Blood Glucose Monitoring System 333 was tested with venous blood at six glucose concentration intervals (20-50, 60-80, 135-165, 180-220, 270-330, and 360-440) and nine hematocrit levels. For each glucose concentration interval, the hematocrit levels were adjusted to 10, 20, 25, 30, 40, 55, 60, 65, and 70%. Each sample was measured in five replicates for each of the three test strip lots and the same sample was also measured with an established laboratory reference method (YSI 2300 analyzer). Results from this study support the sponsor's claim that hematocrit in the range of 20-60% does not interfere with glucose measurements.
12
{12}
4. Test System Operating Conditions:
The GE Blood Glucose Monitoring System 333 was evaluated using three meters under three different temperatures 50-52 °F (10-11°C), 77 ±2°F (25±2 °C) and 102-104 °F (39-40 °C) at two levels of relative humidity (10±5% and 90±5%) with glucose control solutions at 3 levels. Each sample was tested in 5 replicates. The results were compared against an established laboratory reference method (YSI 2300 analyzer). Results support claims in the labeling that the GE Blood Glucose Monitoring System 333 can be used in conditions of 50 to 104°F (6 to 44°C) with relative humidity of 10 to 90%.
5. Readability Assessment:
The readability of the labeling (user's manual, getting started guide, instructions for use and blood glucose test strip insert) using Flesch-Kincaid analysis were found to be written at the 8th grade level. During the lay users study the participants were asked to complete a questionnaire to evaluate the ease of use of the device and the clarity of the English language labeling. Overall, the users indicated they could successfully perform the test and the user manual was clearly written.
6. Infection Control:
The device is intended for a single-patient use only. The studies were performed to validate the virucidal efficacy of disinfectant used to clean and disinfect the two external materials on the exterior surface of the blood glucose meter against Hepatitis B. Robustness studies were also performed by the sponsor demonstrating that there was no change in performance or external materials of the meter. The robustness studies were designed to simulate disinfection procedures 8 times a month and approximately 520 times in a meter's five-year lifetime.
7. Customer Support Center available Monday through Friday 8:00 am to 5:00 pm (PST) by calling 1-866-613-7085.
8. Software validation:
Software validation and verification has been reviewed and the information provided was deemed to be adequate.
9. EMC Testing:
The sponsor provided appropriate documentation certifying that electromagnetic testing (EMC) has been performed and the GE Blood Glucose Monitoring System 333 was found to be compliant.
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.
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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.