K142785 · Ok Biotech Co., Ltd. · NBW · Dec 17, 2015 · Clinical Chemistry
Device Facts
Record ID
K142785
Device Name
PRODIGY iConnect Blood Glucose Monitoring System
Applicant
Ok Biotech Co., Ltd.
Product Code
NBW · Clinical Chemistry
Decision Date
Dec 17, 2015
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 862.1345
Device Class
Class 2
Attributes
Real-World Evidence, Pediatric
Real-World Evidence
Submission
Device
Sponsor
RWD Sources
RWE Use Summary
Key Tags
K142785 · Dec 17, 2015
PRODIGY iConnect Blood Glucose Monitoring System
Ok Biotech Co., Ltd.
Lay person user study (350 participants)
A study of 350 lay persons was conducted to evaluate the system accuracy of the blood glucose monitoring system across multiple capillary blood sampling sites (fingertip, palm, forearm, upper arm, calf, and thigh) to support substantial equivalence.
System Accuracy; Lay person study; Alternative site testing
Clinical Evidence
Study Design
Population
Comparator
Key Endpoints
Lay person user study
350 lay persons; Sample Size: 350
YSI reference standard
System accuracy (bias) across multiple capillary blood sampling sites
Indications for Use
The PRODIGY iConnect Blood Glucose Monitoring System is intended to be used for the quantitative measurement of glucose (sugar) in fresh capillary whole blood samples drawn from the fingertips, forearm, upper arm, palm, calf or thigh. The PRODIGY iConnect Blood Glucose Monitoring System is intended to be used by a single person and should not be shared. The PRODIGY iConnect Blood Glucose Monitoring System 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 PRODIGY iConnect Blood Glucose Monitoring System should not be used for the diagnosis of or screening of diabetes or for neonatal use. Alternative site testing should be done only during steady - state times (when glucose is not changing rapidly). PRODIGY No Coding Blood Glucose Test Strips are with the PRODIGY iConnect blood glucose meter to measure the concentration of blood glucose in fresh capillary whole blood samples drawn from the fingertips, forearm, upper arm, palm, calf or thigh for self-testing at home. They are for testing outside the body (in vitro diagnostic use only). Do not use them for diagnosis of, or screening for diabetes or for testing on neonates. PRODIGY No Coding Blood Glucose Test Strips are used as an aid to monitor the effectiveness of diabetes control.
Device Story
System measures glucose in capillary whole blood via electrochemical biosensor; uses glucose oxidase enzyme on test strips. Meter detects electrical current proportional to glucose concentration; calculates and displays results in mg/dL or mmol/L. Designed for home use by patients with diabetes; single-patient use only. Includes meter, test strips, and control solutions. Features physical connectivity to mobile devices for data transmission to mobile app. Healthcare providers use output to assess diabetes management effectiveness. Benefits include convenient, rapid self-monitoring of blood glucose levels.
Clinical Evidence
Clinical performance evaluated in 350 lay users comparing capillary blood (fingertip, palm, forearm, upper arm, calf, thigh) to YSI 2300 laboratory reference. Results showed 100% of samples within ±15 mg/dL for glucose <75 mg/dL and 100% within ±20% for glucose >75 mg/dL across all sites. Bench testing confirmed precision, linearity (20-600 mg/dL), and robustness.
Technological Characteristics
Electrochemical biosensor with carbon electrodes; glucose oxidase enzyme. Dimensions: 48mm x 47mm x 13mm. Power: 3V CR2032 battery. Connectivity: physical connection to mobile devices. Operating range: 10-40°C, 10-85% RH. Hematocrit range: 20-60%. Measuring range: 20-600 mg/dL. Measuring time: 6 seconds.
Indications for Use
Indicated for quantitative measurement of glucose in fresh capillary whole blood from fingertips, forearm, upper arm, palm, calf, or thigh. For single-patient, home-use, in vitro diagnostic self-testing by people with diabetes to monitor glycemic control. Not for diagnosis/screening of diabetes or neonatal use. Alternative site 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 Preferred® Blood Glucose Monitoring System (K122338)
Submission Summary (Full Text)
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510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION
DECISION SUMMARY
ASSAY AND INSTRUMENT COMBINATION TEMPLATE
A. 510(k) Number:
k142785
B. Purpose for Submission:
New device
C. Measurand:
Capillary whole blood glucose from fingertip, palm, forearm, upper arm, calf, or thigh
D. Type of Test:
Quantitative, amperometric method, glucose oxidase
E. Applicant:
OK Biotech Co., Ltd.
F. Proprietary and Established Names:
PRODIGY iConnect 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, CGA
4. Panel:
Clinical Chemistry (75)
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H. Intended Use:
1. Intended use(s):
See Indication(s) for use below.
2. Indication(s) for use:
The PRODIGY iConnect Blood Glucose Monitoring System is intended to be used for the quantitative measurement of glucose (sugar) in fresh capillary whole blood samples drawn from the fingertips, forearm, upper arm, palm, calf or thigh. The PRODIGY iConnect Blood Glucose Monitoring System is intended to be used by a single person and should not be shared. The PRODIGY iConnect Blood Glucose Monitoring System 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 PRODIGY iConnect Blood Glucose Monitoring System should not be used for the diagnosis of or screening of diabetes or for neonatal use. Alternative site testing should be done only during steady - state times (when glucose is not changing rapidly).
PRODIGY No Coding Blood Glucose Test Strips are intended for use with the PRODIGY iConnect blood glucose meter to measure the concentration of blood glucose in fresh capillary whole blood samples drawn from the fingertips, forearm, upper arm, palm, calf or thigh for self-testing at home. They are for testing outside the body (in vitro diagnostic use only). Do not use them for diagnosis of, or screening for diabetes or for testing on neonates. PRODIGY No Coding Blood Glucose Test Strips are used as an aid to monitor the effectiveness of diabetes control.
3. Special conditions for use statement(s):
- For over-the-counter use.
- Not for neonatal use.
- Not for screening or diagnosis of diabetes mellitus.
- Not for use on critically ill patients, patients in shock, dehydrated patients, or hyper-osmolar patients.
- For single-patient use only.
- Alternative site testing (AST) should only be done during steady-state times (when glucose is not changing rapidly, for example after meals, exercise, or after taking insulin).
- AST should not be used to calibrate continuous glucose monitors (CGMs).
- AST should not be used for insulin dose calculations.
4. Special instrument requirements:
PRODIGY iConnect Blood Glucose Meter
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I. Device Description:
The PRODIGY iConnect Blood Glucose Monitoring System consists of the PRODIGY iConnect Blood Glucose Meter, PRODIGY No Coding Blood Glucose Test Strips and PRODIGY Control Solutions (2 Levels – Level 1 and Level 2). The PRODIGY iConnect Blood Glucose Monitoring System is marketed as a Meter kit with a carrying case, battery, Meter User Guide, Quick Reference Guide, Logbook, Warranty Card, PRODIGY Lancing Device, PRODIGY Lancets, PRODIGY No Coding Blood Glucose Test Strips, and PRODIGY Control Solution (Level 1). The system is also marketed as a Simple kit that includes all components of the Meter Kit except for PRODIGY No Coding Blood Glucose Test Strips and PRODIGY Control Solution. The test strips and control solutions are available separately.
The system has the ability to physically connect to mobile devices for the purpose of storing blood glucose measurements via a mobile App. When the PRODIGY iConnect meter is connected to a compatible phone, the App receives the test results and allows users to display, store, and track blood glucose measurement data. Users can also use the App to upload their blood glucose measurements to a Cloud account or email the data to others. For real-time measurements, the App can serve as an aid to the user in operating the meter, e.g. by displaying a prompt to insert a test strip into the meter and by counting down 6 seconds after a blood sample is applied. The App is specific to the PRODIGY iConnect Blood Glucose Monitoring System and cannot be used with other glucose meters. The App is compatible with iOS 6.0 and higher as well as the Android Jelly Bean and Android KitKat operating systems.
The PRODIGY iConnect blood glucose meter can function independently of the App and without connection to a mobile device.
The PRODIGY No Coding Blood Glucose Test Strips contain the following reagent composition: 0.4% glucose oxidase (Aspergillus Niger), 3.8% potassium ferricyanide (electron shuttle), and 95.8% non-active ingredients and enzyme protector. The test strips are available for purchase separately.
The PRODIGY Control Solutions Level 1 and Level 2 were previously cleared in k122338. Level 1 is included in one kit configuration (Meter kit) and both Level 1 and Level 2 are available for purchase separately.
J. Substantial Equivalence Information:
1. Predicate device name(s):
PRODIGY Preferred Blood Glucose Monitoring System
2. Predicate 510(k) number(s):
K122338
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3. Comparison with predicate:
| Similarities/Differences | | |
| --- | --- | --- |
| Item | Candidate Device PRODIGY iConnect Blood Glucose Monitoring System | Predicate Device Prodigy Preferred Blood Glucose Monitoring System (k122338) |
| Indications for use | The device is intended for quantitative measurement of glucose in fresh capillary whole blood by people with diabetes at home as an aid to monitor the effectiveness of diabetes control. | Same |
| Test strip used | PRODIGY No Coding Blood Glucose Test Strips | Same |
| Control solutions used | PRODIGY Control Solutions (Level 1, Level 2) | Same |
| Detection method | Amperometric method | Same |
| Enzyme | Glucose oxidase | Same |
| Specimen type | Capillary whole blood from fingertip, palm, forearm, upper arm, calf, and thigh | Same |
| Operating conditions | 50 – 104°F (10 – 40°C), 10-85% R.H. | Same |
| HCT range | 20 - 60% | Same |
| Detection range | 20 – 600 mg/dL | Same |
| Measuring time | 6 seconds | 7 seconds |
| Meter size | 48 mm (L) x 47 mm (W) x 13 mm (H) | 71mm (L) x 60 mm (W) x 19 mm (H) |
| Meter weight | ~ 20 g (with battery) | ~ 45 g (with battery) |
| Power battery | One 3V CR2032 battery | Same |
| Memory storage | 100 tests | 120 tests |
| Mobile app connectivity | Yes | No |
| Glucose Value Averaging | No | Yes – 7, 14, 21 and 28 day averaging |
K. Standard/Guidance Document Referenced (if applicable):
CLSI EP5-A2 “Evaluation of Precision Performance of Quantitative Measurement Methods; Approved guideline – Second Edition”
CLSI EP6-A “Evaluation of the Linearity of Quantitative Measurement Procedures: A Statistical Approach; Approved Guideline”
CLSI EP7-A2 "Interference Testing in Clinical Chemistry; Approved Guideline-Second Edition"
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IEC 60601-1-2 “Medical electrical equipment, Part 2. Electromagnetic compatibility – Requirements and tests”
L. Test Principle:
Blood glucose is measured by an electrical current that is produced when a blood sample mixes with the reagents of the test strip. The electrical current changes with the amount of glucose in the blood sample. The meter measures the strength of the electrical current, calculates the blood glucose level and then displays the result in either milligrams of glucose per deciliter (mg/dL) or millimoles of glucose per liter (mmol/L).
M. Performance Characteristics (if/when applicable):
1. Analytical performance:
a. Precision/Reproducibility:
Within-Run Precision
The sponsor performed within-run precision studies using venous whole blood samples spiked to five different glucose concentration levels (30 to 50, 51 to 110, 111 to 150, 151 to 250, 251 to 400 mg/dL). Each glucose concentration level was analyzed in replicates of 10, with 3 test strip lots, and 10 meters, for a total of 300 tests per glucose level for each meter. Results are summarized below:
| Glucose Level, mg/dL | Strip Lot | n | Meter Reading, mg/dL | SD, mg/dL | CV, % |
| --- | --- | --- | --- | --- | --- |
| 30-50 | 1 | 100 | 39.4 | 2.8 | 7.2 |
| | 2 | 100 | 40.1 | 2.7 | 6.6 |
| | 3 | 100 | 39.9 | 2.6 | 6.6 |
| | Combined | | | 2.7 | 6.8 |
| 51-110 | 1 | 100 | 81.5 | 3.7 | 4.5 |
| | 2 | 100 | 81.5 | 4.0 | 4.9 |
| | 3 | 100 | 82.0 | 3.7 | 4.6 |
| | Combined | | | 3.8 | 4.7 |
| 111-150 | 1 | 100 | 129.5 | 4.9 | 3.8 |
| | 2 | 100 | 130.4 | 4.7 | 3.6 |
| | 3 | 100 | 129.6 | 4.7 | 3.6 |
| | Combined | | | 4.8 | 3.7 |
| 151-250 | 1 | 100 | 199.5 | 5.7 | 2.9 |
| | 2 | 100 | 198.7 | 6.1 | 3.1 |
| | 3 | 100 | 199.1 | 6.0 | 3.0 |
| | Combined | | | 6.0 | 3.0 |
| 251-400 | 1 | 100 | 328.6 | 8.3 | 2.5 |
| | 2 | 100 | 326.6 | 8.5 | 2.6 |
| | 3 | 100 | 326.2 | 8.0 | 2.5 |
| | Combined | | | 8.3 | 2.5 |
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Intermediate Precision
Intermediate (between run) Precision was evaluated using 5 levels of glucose control solutions (30 to 50, 51 to 110, 111 to 144, 151 to 250, 280 to 400 mg/dL) over 10 days with 3 test strip lots. For each level, on each day, 10 meters were used for testing, with 1 replicate collected per meter for a total of 10 replicates per day for each glucose level. Results are summarized below:
| Glucose Level, mg/dL | Strip Lot | n | Meter Reading, mg/dL | SD, mg/dL | CV, % |
| --- | --- | --- | --- | --- | --- |
| 30-50 | 1 | 100 | 44.3 | 2.9 | 6.6 |
| | 2 | 100 | 44.9 | 3.1 | 7.0 |
| | 3 | 100 | 44.1 | 2.9 | 6.7 |
| | Combined | | | 3.0 | 6.8 |
| 51-110 | 1 | 100 | 80.1 | 3.3 | 4.1 |
| | 2 | 100 | 79.3 | 2.9 | 3.7 |
| | 3 | 100 | 79.8 | 3.3 | 4.1 |
| | Combined | | | 3.2 | 4.0 |
| 111-144 | 1 | 100 | 127.7 | 4.0 | 3.1 |
| | 2 | 100 | 128.1 | 3.7 | 2.9 |
| | 3 | 100 | 128.2 | 4.1 | 3.2 |
| | Combined | | | 4.0 | 3.1 |
| 151-250 | 1 | 100 | 200.1 | 5.4 | 2.7 |
| | 2 | 100 | 199.0 | 5.2 | 2.6 |
| | 3 | 100 | 200.5 | 5.4 | 2.7 |
| | Combined | | | 5.4 | 2.7 |
| 280-400 | 1 | 100 | 342.6 | 9.1 | 2.7 |
| | 2 | 100 | 341.4 | 8.5 | 2.5 |
| | 3 | 100 | 341.4 | 8.7 | 2.5 |
| | Combined | | | 8.8 | 2.6 |
b. Linearity/assay reportable range:
Linearity testing was performed using venous whole blood samples. The evaluation was conducted with 10 meters and 3 test strip lots. Samples with the following glucose concentrations (mg/dL) were prepared: 15, 25, 95, 165, 235, 305, 375, 445, 515, 585, and 615.
Low samples were prepared by allowing glycolysis to occur. High samples were prepared by spiking into the venous whole blood samples. Values were confirmed using a laboratory reference method (YSI 2300 analyzer) calibrated with NIST reference material.
10 strips from each lot were used for testing at each glucose concentration for a total of n=30 tests per glucose concentration. The evaluation yielded the following
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regression equation based on all samples:
| Lot | Slope | y-intercept | R2 |
| --- | --- | --- | --- |
| 1 | 1.0001 | -0.8111 | 0.9997 |
| 2 | 1.0036 | -3.0874 | 0.9998 |
| 3 | 1.0026 | -2.1376 | 0.9999 |
| Combined | 1.0002 | -1.9588 | 0.9999 |
The results of the study support the sponsor's claimed glucose measuring range of 20 - 600 mg/dL.
c. Traceability, Stability, Expected values (controls, calibrators, or methods):
The system is traceable to NIST standard NISH SRM #917c Clinical Dextrose.
Test strip stability:
Stability protocols and acceptance criteria for the PRODIGY No Coding Blood Glucose Test Strips were evaluated and found to be acceptable to support closed-vial stability of 24 months at $39.2 - 104^{\circ}\mathrm{F}$ (10-85% relative humidity) and open-vial stability of 90 days when test strips are stored at the recommended storage temperature $(39.2 - 104^{\circ}\mathrm{F})$ and 10-85% relative humidity or until the expiration date printed on the label, whichever comes first.
Control Solution Value Assignment and Stability:
PRODIGY Control Solutions were previously cleared in K122338. When stored between 39 and $86^{\circ}\mathrm{F}$ , the PRODIGY Control Solutions are stable for 18 months when unopened, and 90 days after first opening.
d. Detection limit:
The reportable range is 20 to $600\mathrm{mg / dL}$ and is supported by results of the linearity study described above (M.1.b).
e. Analytical specificity:
Interference studies were performed by spiking endogenous and exogenous potentially interfering substances into venous whole blood. Each potential interferent was tested at 3 glucose levels (60, 120, and $250\mathrm{mg / dL}$ ). Ten replicates were measured for each test sample. Results of test samples measured with the PRODIGY iConnect Blood Glucose Monitoring System were compared to samples measured on a laboratory-based reference method (YSI 2300 analyzer) and bias and percent bias were calculated. This procedure was performed using 3 test strip lots. Significant interference was defined by the sponsor as a bias $\geq \pm 10\%$ of the test samples relative to control samples.
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The sponsor claims no significant interference for the substances and concentrations shown in the table below:
| Substance | Highest Concentration tested with no significant interference |
| --- | --- |
| Acetaminophen | 8.0 mg/dL |
| Ascorbic acid | 5.0 mg/dL |
| Aspirin | 60 mg/dL |
| Bilirubin (unconjugated) | 90 mg/dL |
| Cholesterol | 500 mg/dL |
| Creatinine | 5.0 mg/dL |
| Dopamine | 2.0 mg/dL |
| EDTA | 360 mg/dL |
| Galactose | 900 mg/dL |
| Gentisic acid | 5.0 mg/dL |
| Glutathione | 53 mg/dL |
| Hemoglobin | 500 mg/dL |
| Heparin | 8000 U/dL |
| Hydroxyurea | 3.0 mg/dL |
| Ibuprofen | 50 mg/dL |
| Icodextrin | 13 mg/dL |
| L-dopa | 10 mg/dL |
| Maltose | 900 mg/dL |
| Methyldopa | 3.0 mg/dL |
| Pralidoxime Iodide | 25 mg/dL |
| Salicylate | 60 mg/dL |
| Tolazamide | 100 mg/dL |
| Tolbutamide | 400 mg/dL |
| Triglyceride | 2000 mg/dL |
| Uric acid | 8.0 mg/dL |
| Xylose | 100 mg/dL |
The following information has been added to the labeling for this device based on results of the interference studies:
The system exhibits interference from acetaminophen. Do not use during treatment with medications containing acetaminophen (e.g., Tylenol).
Uric acid and ascorbic acid (when occurring in normal blood or taken at normal therapeutic concentrations) do not significantly affect results. However, abnormally high concentrations of these substances in the blood may cause inaccurately high results. For example, if you are ingesting high levels of Vitamin C (ascorbic acid) you may get inaccurate results. If you have a disease or condition in which uric acid levels in your blood may be elevated, such as gout, you may also get inaccurate results with this system.
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f. Assay cut-off:
Not applicable
2. Comparison studies:
a. Method comparison with predicate device:
See section M.3.c below for assessment of clinical performance.
b. Matrix comparison:
Not applicable
3. Clinicalstudies:
a. Clinical Sensitivity:
Not applicable
b. Clinical specificity:
Not applicable
c. Other clinical supportive data (when a. and b. are not applicable):
To assess the performance of the PRODIGY iConnect Blood Glucose Monitoring System in the hands of the intended users, the sponsor performed a study with 350 lay user participants who collected and tested samples from their own fingertip, palm, forearm, upper arm, calf and thigh. Results were analyzed by comparing capillary whole blood glucose results obtained by lay users with the PRODIGY iConnect Blood Glucose Monitoring System against results obtained with venous blood samples from the same patients analyzed by a laboratory reference method (YSI 2300 analyzer). The glucose concentrations in the samples ranged from 58.8 to 336.2 mg/dL as measured by the laboratory reference method. Results are summarized in the tables below:
For glucose concentrations $< 75\mathrm{mg / dL}$
| Sample Site | Within ± 5 mg/dL | Within ± 10 mg/dL | Within ± 15 mg/dL |
| --- | --- | --- | --- |
| Finger | 18/32 (56.3%) | 31/32 (96.9%) | 32/32 (100%) |
| Palm | 16/32 (50.0%) | 30/32 (93.8%) | 32/32 (100%) |
| Forearm | 21/32 (65.6%) | 31/32 (96.9%) | 32/32 (100%) |
| Upper arm | 24/32 (75.0%) | 32/32 (100%) | 32/32 (100%) |
| Calf | 18/32 (56.3%) | 31/32 (96.9%) | 32/32 (100%) |
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For glucose concentrations $>75\mathrm{mg / dL}$
| Sample Site | Within ± 5 % | Within ± 10 % | Within ± 15 % | Within ± 20 % |
| --- | --- | --- | --- | --- |
| Finger | 150/318 (47.2%) | 251/318 (78.9%) | 310/318 (97.5%) | 318/318 (100%) |
| Palm | 158/318 (49.7%) | 262/318 (82.4%) | 309/318 (97.2%) | 318/318 (100%) |
| Forearm | 160/318 (50.3%) | 256/318 (80.5%) | 311/318 (97.8%) | 318/318 (100%) |
| Upper arm | 137/318 (43.1%) | 247/318 (77.7%) | 302/318 (95.0%) | 318/318 (100%) |
| Calf | 159/318 (50.0%) | 257/318 (80.8%) | 312/318 (98.1%) | 318/318 (100%) |
| Thigh | 131/318 (41.2%) | 241/318 (75.8%) | 305/318 (95.9%) | 318/318 (100%) |
Linear regression analysis:
| Sample Site | Slope | Intercept | R2 |
| --- | --- | --- | --- |
| Fingertip | 1.0156 | -2.5737 | 0.9689 |
| Palm | 1.0128 | -1.3703 | 0.9724 |
| Forearm | 1.0125 | -1.0703 | 0.9706 |
| Upper arm | 1.0017 | -0.0689 | 0.9637 |
| Calf | 1.0075 | -1.4061 | 0.9699 |
| Thigh | 1.0122 | -0.7028 | 0.9658 |
A usability study was performed to assess the usability of the labeling. 350 lay user subjects were provided with the labeling in English. Subjects completed questionnaires regarding ease of use on a scale of 1 (disagree) to 5 (fully agree) as well as specific questions to test understanding of information in the user manual. More than $85\%$ of subjects agreed that the labeling, including the packaging and the user manual were easy to read.
4. Clinical cut-off:
N/A
5. Expected values/Reference range:
The following information is provided in the labeling:
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"The normal adult fasting blood glucose range for a nondiabetic person is less than 100 mg/dL and less than 140 mg/dL up to 2 hours after meals."
Source: American Diabetes Association, September 22, 2014. http://www.diabetes.org/diabetes-basics/diagnosis.
N. Instrument Name:
PRODIGY iConnect Blood Glucose Meter.
O. System Descriptions:
1. Modes of Operation:
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.
4. Specimen Sampling and Handling:
The system is intended to be used with capillary whole blood from fingertip, palm, forearm, upper arm, calf, and thigh. The whole blood sample is applied directly to the test strip by capillary action.
5. Calibration:
This is a no-coding device and calibration is automatic. There is no user input for calibration.
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6. Quality Control:
Control materials comprise the two control solution levels which available for use with the device. PRODIGY Control Solution Level 1 is included with one kit configuration and both Level 1 and Level 2 are available separately for use with this system. Recommendations on when to test the control materials are provided in the labeling. The control solution readings are not included in the average of the patient results. An acceptable range for each control solution level is printed on the test strip vial label. The user is cautioned not to use the meter if results of control solution testing fall outside of these ranges.
P. Other Supportive Instrument Performance Characteristics Data Not Covered In The "Performance Characteristics" Section above:
1. Hematocrit Study: To evaluate the effect of hematocrit on the PRODIGY iConnect Blood Glucose Monitoring System, venous blood samples were adjusted to hematocrit levels of 20%, 25%, 30%, 35%, 40%, 45%, 50%, 55%, and 60%. Each hematocrit level was tested at 5 glucose concentration intervals (30 to 50, 51 to 90, 120 to 150, 151 to 250, and 280 to 350 mg/dL) for a total of 30 samples. The evaluation included 10 meters, each tested with 3 lots of test strips. Results from the meter were compared to results obtained using a laboratory-based reference measurement (YSI 2300 analyzer). The evaluation of percent bias relative to values obtained on the YSI 2300 analyzer demonstrated acceptable performance across the hematocrit range of 20-60%.
2. Altitude study: To evaluate the effect of altitude on the PRODIGY iConnect Blood Glucose Monitoring System, meters were tested at 3 altitudes above sea level (2,920 ft; 6,234 ft; and 11,161 ft). Venous whole blood samples altered to 5 glucose levels (30 to 50, 51 to 110, 111 to 150, 151 to 250, and 251 to 400 mg/dL) were tested at each altitude. The evaluation included 3 meters and 3 test strip lots. Each test strip lot included 10 replicates for a total of 30 replicates per glucose level/altitude combination. Results were compared to results obtained using a laboratory-based reference measurement (YSI 2300 analyzer) and demonstrated that altitudes up to 11,161 feet above sea level have no significant effect on blood glucose measurements from the PRODIGY iConnect Blood Glucose Monitoring System.
3. Sample Volume: To demonstrate the minimum sample volume, venous whole blood samples with volumes ranging from 0.2 - 1.5 μL were tested. Sample concentrations included 5 glucose levels (30 to 50, 51 to 110, 111 to 150, 151 to 250, 251 to 400 mg/dL) at each sample volume. Testing included 10 strips from each of 3 lots for each glucose concentration/sample volume combination for a total of 30 replicates per volume/glucose level combination. 10 meters were used during testing. Values obtained were compared to values obtained using a laboratory-based reference method (YSI 2300 analyzer). Results support a minimum sample volume of 0.7 μL. The device produces an error message ("Lb") when the blood sample is ≤ 0.6 μL.
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4. Operating Conditions Study: Temperature and humidity operating conditions were using venous whole at 3 glucose concentration levels (38-68, 132-188, 280-420 mg/dL), 10 meters, and 3 lots of test strips. The following temperature and relative humidity (RH) conditions were tested: 50°F and 10% RH, 50°F and 85% RH, 104°F and 10% RH, 104°F and 85% RH. Individual glucose measurements were compared to an established laboratory reference method (YSI 2300 analyzer) and percent biases were calculated. Results support the claimed operating temperature range of 50°F to 104°F (10°C to 40°C) and relative humidity range of 10 to 85% RH.
5. Infection Control and Robustness Studies: The device is intended for single-patient use only. Disinfection efficacy testing on the surface materials of the meter demonstrated complete inactivation of hepatitis B virus (HBV) with the chosen disinfectant, PDI SUPER SANI-CLOTH germicidal disposable wipes (EPA Registration # 9480-4). Robustness studies were also performed by the sponsor demonstrating that there was no change in performance or external materials of the meter after 3650 cleaning and disinfection cycles designed to simulate 5 years of device use with a maximum frequency of cleaning and disinfection 2x / day.
6. EMC Testing and Electrical Safety Studies: EMC testing was certified and appropriate compliance certificates were provided.
7. Flesch-Kincaid readability assessment was conducted and the results showed that the labeling (meter user guide, App user guide, test strip package insert, control solution package insert) were written at grade levels ranging from 6th to 8th grade.
8. The meter user guide states that technical support is available Monday through Friday, 9AM to 5 PM EST by calling 1-800-243-2636.
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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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.