The Healthpro™ 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, ventral palm, dorsal hand, upper arm, forearm, calf and/or thigh. The Healthpro™ Blood Glucose Monitoring System is intended to be used by a single patient and should not be shared. The Healthpro™ 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 Healthpro™ 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). The Healthpro™ test strips are for use with the Healthpro™ meter to quantitatively measure glucose (sugar) in fresh capillary whole blood samples drawn from the fingertips, ventral palm, dorsal hand, upper arm, forearm, calf and/or thigh. The Healthpro™ control solutions are for use with the Healthpro™ meter and test strips to check that the meter and test strips are working together properly and that the test as a quality control checks to verify the accuracy of blood glucose test results.
Device Story
System measures glucose concentration in fresh capillary whole blood via electrical current generated in test strips; meter processes current to provide quantitative glucose reading. Used by patients with diabetes at home for monitoring glycemic control. Includes meter, test strips, and control solutions. Validated for 1,095 cleaning/disinfection cycles using CaviWipes to ensure safety for multi-year use. Output displayed to patient to inform diabetes management decisions.
Clinical Evidence
Clinical study with 150 lay users across three sites compared Healthpro™ results to YSI 2300 reference analyzer. Participants tested samples from seven body sites. Results showed high correlation (r=0.9821) between lay user and YSI measurements. Accuracy met ISO 15197 requirements. Bench testing included precision (CV 1.3-3.5%), linearity (20-600 mg/dL), interference (26 substances tested), hematocrit (20-60%), altitude (up to 10,000 ft), and temperature/humidity stability.
Technological Characteristics
In vitro diagnostic blood glucose monitoring system; glucose oxidase electrochemical sensing principle. Includes meter, test strips, and control solutions. Validated for 1,095 cleaning/disinfection cycles with CaviWipes. Standalone device.
Indications for Use
Indicated for quantitative glucose measurement in fresh capillary whole blood for single-patient home use by people with diabetes to monitor control effectiveness. Sites: fingertip, ventral palm, dorsal hand, upper arm, forearm, calf, thigh. Contraindications: neonatal use, diabetes screening/diagnosis, critically ill, shock, dehydrated, or hyper-osmolar patients. AST restricted to steady-state 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
GLUCOLAB Auto-coding Blood Glucose Monitoring System (k091157)
Submission Summary (Full Text)
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# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY ASSAY AND INSTRUMENT COMBINATION TEMPLATE
A. 510(k) Number:
k113192
B. Purpose for Submission:
New device
C. Measurand:
Glucose in fresh capillary whole blood
D. Type of Test:
Quantitative amperometric whole blood glucose oxidase
E. Applicant:
Infopia Co., Ltd.
F. Proprietary and Established Names:
Healthpro™ Blood Glucose Monitoring System
G. Regulatory Information:
| Product Code | Classification | Regulation Section | Panel |
| --- | --- | --- | --- |
| NBW | Class II | 21 CFR§ 862.1345, Glucose Test System | Clinical Chemistry (75) |
| LFR | Class II | 21 CFR§ 862.1345, Glucose Test System | Clinical Chemistry (75) |
| JJX | Class I, reserved | 21 CFR § 862.1660, Quality control material | Clinical Chemistry (75) |
H. Intended Use:
1. Intended use(s):
See Indications for Use below.
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2. Indication(s) for use:
The Healthpro™ Blood Glucose Monitoring System is intended for used for the quantitative measurement of glucose (sugar) in fresh capillary whole blood samples drawn from the fingertips, ventral palm, dorsal hand, upper arm, forearm, calf and/or thigh. The Healthpro™ Blood Glucose Monitoring System is intended to be used by a single patient and should not be shared.
The Healthpro™ 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 Healthpro™ 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).
The Healthpro™ test strips are for use with the Healthpro™ meter to quantitatively measure glucose (sugar) in fresh capillary whole blood samples drawn from the fingertips, ventral palm, dorsal hand, upper arm, forearm, calf and/or thigh.
The Healthpro™ control solutions are for use with the Healthpro™ meter and test strips to check that the meter and test strips are working together properly and that the test as a quality control checks to verify the accuracy of blood glucose test results.
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
Alternative site testing (AST) can be used only during steady-state blood glucose conditions.
AST should not be used to calibrate continuous glucose monitors (CGMs) nor for use in insulin dose calculations.
AST testing should only be done during steady-state times (when glucose is not changing rapidly).
Single-patient use only system; should not be shared
4. Special instrument requirements:
The Healthpro™ Blood Glucose Meter
I. Device Description:
The Healthpro™ Blood Glucose Monitoring System consists of the meter, test strips and control solutions (Levels 1, 2, and 3), a lancing device and sterile lancets. The blood glucose
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test system is an in vitro diagnostic device designed for measuring the concentration of glucose in whole blood sample by means of an electrical current produced in the test strip and sent to the meter for measurement.
## J. Substantial Equivalence Information:
1. Predicate device name(s):
GLUCOLAB Auto-coding Blood Glucose Monitoring System
2. Predicate 510(k) number(s):
k091157
3. Comparison with predicate:
| Similarities | | |
| --- | --- | --- |
| Item | Healthpro™ Blood Glucose Monitoring System (Candidate Device) | GLUCOLAB Auto-coding (Predicate Device, k091157) |
| Indication For Use | The Healthpro™ Blood Glucose Monitoring System is intended for used for the quantitative measurement of glucose (sugar) in fresh capillary whole blood samples drawn from the fingertips, ventral palm, dorsal hand, upper arm, forearm, calf and/or thigh.
The Healthpro™ 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 Healthpro™ test strips are for use with the Healthpro™ meter to quantitatively measure glucose (sugar) in fresh capillary whole blood samples drawn from the fingertips, ventral palm, dorsal hand, upper arm, forearm, calf and/or thigh. | Same |
| Assay Method | Electrochemical | Same |
| Detection method | Amperometry | Same |
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| Differences | | |
| --- | --- | --- |
| Item | HealthproTM Blood Glucose Monitoring System (Candidate Device) | GLUCOLAB Auto-coding (Predicate Device, k091157) |
| Battery Life | IGM-0028A: Running 5,000 Tests
IGM-0028B(Back Light LCD): Running 1,000 Tests | Running 5,000 Tests
N/A |
| SIZE (L x W x H) | 88.4 x 50.3 x 18.5 (mm) | 85 x 50 x 20 (mm) |
| Weight | 46 ± 1g (including batteries) | 49g (including batteries) |
| Sample Volume | 0.5 uL | 1.0 uL |
| Reagent | Glucose Oxidase: 12ug
Mediator (Hexaammineruthenium): 100ug
Binder:3.16 ug
Stabilizer: 47.7 ug | Glucose Oxidase: 21ug
Mediator (Hexaammineruthenium): 139ug
Binder:86 ug
Stabilizer: 57 ug |
| Hematocrit range (%) | 20-60% | 30-55% |
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| Control Solutions | | |
| --- | --- | --- |
| Proprietary | HealthproTM control solutions (Candidate Device) | GLUCOLAB Auto-coding (Predicate Device, k091157) |
| Indication for Use | The HealthproTM control solutions are for use with the HealthproTM meter and test strips to check that the meter and test strips are working together properly and that the test as a quality control checks to verify the accuracy of blood glucose test results. | Same |
| Analyte | Glucose | Same |
| Number of levels | 3 levels (levels 1, 2 and 3) | Same |
| Compositions | Level 1: 0.04 wt% glucose 99.96 wt% non-reactive ingredients | Same |
| | Level 2: 0.12 wt% glucose 99.88 wt% non-reactive ingredients | Same |
| | Level 3: 0.20 wt% glucose 99.80 wt% non-reactive ingredients | Same |
| Container | Bottle | Same |
| Storage temperature | 8 - 30°C (46 - 86°F) | Same |
| Shelf Life Time | 24 months | Same |
| Use Life Time | 3 months after first opening | Same |
# K. Standard/Guidance Document Referenced (if applicable):
ISO 15197: In vitro diagnostic test systems - Requirements for blood-glucose monitoring systems for self-testing in managing diabetes mellitus.
ISO 14791: Medical Devices - Application of risk management to medical devices.
CLSI Guideline, EP05-A2: Evaluation of precision performance of quantitative measurement methods; Approved Guideline.
CLSI Guideline, EP6-A: Evaluation of the Linearity of Quantitative Analytical Methods; Proposed Guideline.
CLSI Guideline, EP7-A2 Interference Testing in Clinical Chemistry; Approved Guideline.
CLSI Guideline, EP09-A2: method comparison and bias estimation using patient samples; Approved guidelines.
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CEN 13640: Stability testing of in vitro diagnostic medical device.
CISPR11: Limits and measure of radio disturbance characteristics of industrial, scientific and medical (ISM) radio-frequency.
EN61326: Electrical equipment for measurement, control and laboratory use – EMC requirements – Part 1: general requirements
EN61326: Electrical equipment for measurement, control and laboratory use – EMC requirements. Particular requirements. In vitro diagnostic equipment.
IEC 60068-2-64: Environmental testing - Part 2: Test methods – Test Fh: Vibration, broad – band random (digital control) and guidance.
IEC 61010-1: Safety requirements for electrical equipment for measurement, control and laboratory use – Part 1: General Requirements.
IEC 61010-2: 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 Healthpro™ blood glucose test is based on the measurement of glucose concentration in human blood. This enzyme assay, with a redox chemical “mediator” reaction, is used to generate an electrical current proportional to the glucose concentration in the blood sample. The system is designed as an amperometric measurement device using current generated from the redox reaction as the measurable response.
## M. Performance Characteristics (if/when applicable):
### 1. Analytical performance:
#### a. Precision/Reproducibility:
Within run precision was performed using five venous blood samples spiked with glucose to achieve higher glucose concentration or allowed to age and undergo glycolysis to achieve lower blood concentration. The samples tested ranged from 43 to 332 mg/dL. Each sample was tested 10 times on three test strip lots, using 10 meters per test strip lots for a n = 100 per test strip lot. The mean values and coefficients of variation were calculated for each sample and are summarized below.
| Within-day precision (whole blood) | | | | | |
| --- | --- | --- | --- | --- | --- |
| Lot # | Glucose Concentration (mg/dL) | n | Mean (mg/dL) | SD (mg/dL) | CV (%) |
| 1 | 43 | 100 | 40.9 | 1.3 | 3.1 |
| | 80 | 100 | 78.4 | 1.8 | 2.3 |
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| | 121 | 100 | 124.3 | 3.1 | 2.5 |
| --- | --- | --- | --- | --- | --- |
| | 201 | 100 | 205.0 | 3.3 | 1.6 |
| | 332 | 100 | 317.8 | 7.4 | 2.3 |
| 2 | 43 | 100 | 41.1 | 1.4 | 3.4 |
| | 80 | 100 | 77.9 | 1.9 | 2.5 |
| | 121 | 100 | 127.2 | 4.4 | 3.5 |
| | 201 | 100 | 206.6 | 2.8 | 1.3 |
| | 332 | 100 | 326.8 | 7.3 | 2.2 |
| 3 | 43 | 100 | 42.4 | 1.2 | 2.8 |
| | 80 | 100 | 78.0 | 1.9 | 2.5 |
| | 121 | 100 | 122.6 | 4.3 | 3.5 |
| | 201 | 100 | 204.9 | 3.2 | 1.5 |
| | 332 | 100 | 322.7 | 6.7 | 2.1 |
The intermediate precision evaluation was performed using three levels of control solutions with glucose concentrations ranging from 30 to 420 mg/dL on three lots of test strips, 10 replicates per day for 20 days. The glucose concentration of each sample was determined using the blood-glucose monitoring system. The mean values and coefficients of variation were calculated for each sample and are summarized below.
| Day-to-day precision (control materials) | | | | | |
| --- | --- | --- | --- | --- | --- |
| Lot # | N | YSI Concentration (mg/dL) | Mean (mg/dL) | SD (mg/dL) | CV (%) |
| 1 | 200 | 52 | 52.9 | 1.4 | 2.7 |
| | 200 | 110 | 110.2 | 3.2 | 2.9 |
| | 200 | 308 | 310.2 | 3.9 | 1.3 |
| 2 | 200 | 52 | 50.9 | 1.5 | 2.9 |
| | 200 | 110 | 112.9 | 2.7 | 2.4 |
| | 200 | 308 | 313.4 | 9.6 | 3.1 |
| 3 | 200 | 52 | 53.6 | 1.7 | 3.2 |
| | 200 | 110 | 108.7 | 2.8 | 2.6 |
| | 200 | 308 | 308.1 | 7.5 | 2.4 |
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b. Linearity/assay reportable range:
A linearity study was performed using fourteen different levels of venous whole blood samples supplemented with a glucose stock solution to cover the claimed measuring range from 20.0 to 600.0 mg/dL. Five measurements were taken from each glucose level and measured using the Healthpro system. First order regression analysis resulted in the equation y = 0.9925x + 1.4254 with an R² = 0.9996. The claimed measuring range is 20 to 600 mg/dL based on the linearity data.
c. Traceability, Stability, Expected values (controls, calibrators, or methods):
Traceability
The glucose control standards are traceable to a NIST glucose standard and are prepared at three concentrations (Level 1 = 50 mg/dL, Level 2 = 110 mg/dL and Level 3 = 300 mg/dL). The reference instrument used is the YSI 2300 Glucose analyzer and is calibrated by YSI 2747 Glucose Standard which is a NIST traceable glucose standard.
Stability
Accelerated stability study was conducted to assess the shelf-life and open-vial stability of the control solutions and test strips. Real-time stability studies are still ongoing. Stability studies protocol and acceptance criteria were provided and found to be adequate.
Unopened control solutions have a 24 month shelf life and are stable for 3 months after first use when stored at 2 - 30 °C (35.6 - 86 °F).
Unopened test strips have a 24 month shelf-life and are stable for 3 months after first use when stored at 2 - 30 °C (35.6 - 86 °F).
Expected values
The controls are prepared at three target concentrations gravimetrically and the glucose concentrations are verified with the YSI reference method. The expected values are verified for each new lot of strips.
d. Detection limit:
See linearity study above in section 1.b.
e. Analytical specificity:
Interference study was designed according to CLSI EP7-A2 guideline. 26 common endogenous and exogenous interfering substances were evaluated by spiking venous blood to three levels of glucose concentrations (60, 150 and 300 mg/dL). The glucose samples were then spiked with the potentially interfering compounds (6 concentration including normal or therapeutic levels and high of toxic levels). Five meters were used for this study. Each sample is tested in replicates of five and a total of 1950 test
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strips were used. Bias was calculated as the mean percent difference in glucose reading between the test and control concentration groups. The sponsor claims no significant interference if bias between the tested and the control sample is $< 10\%$ difference. A summary of the concentrations of the potential interfering substances tested is summarized in the table below:
| Interfering Substances | Maximum Concentration tested (mg/dL) |
| --- | --- |
| Acetaminophen | 20 |
| Ascorbate | 6 |
| Ascorbic Acid | 6 |
| Cholesterol | 500 |
| Conjugated-Bilirubin | 40 |
| Creatinine | 5 |
| Dopamine | 0.09 |
| Ethanol | 400 |
| Galactose | 50 |
| Gentistic | 1.8 |
| Glutathione | 3 |
| Hemoglobin | 200 |
| Ibuprofen | 50 |
| Lactose | 100 |
| L-Dopa (Levo-Dopa) | 13 |
| Maltose | 300 |
| Mannitol | 600 |
| Methyl Dopa | 1.5 |
| Salicylic Acid | 60 |
| Sorbitol | 70 |
| Tetracycline | 1.5 |
| Tolazamide | 5 |
| Tolbutamide | 65 |
| Triglycerides | 3000 |
| Unconjugated-Bilirubin | 40 |
| Uric Acid | 23 |
| Urea | 260 |
| Xylose | 10 |
Based on the study data, all the substances and levels tested above have $< 10\%$ bias.
f. Assay cut-off:
Not applicable.
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# 2. Comparison studies:
# a. Method comparison with predicate device:
The accuracy of the Healthpro™ Blood Glucose Monitoring System was assessed by comparing blood glucose results obtained from patients with those obtained using the YSI 2300, a laboratory instrument. A total of 160 samples were tested using 6 meters and a total of 960 Healthpro™ test strips.
Only unaltered capillary blood samples are used for glucose concentrations of 50 mg/dL to $400\mathrm{mg / dL}$ . If necessary to obtain sufficient samples in the lowest and highest concentration intervals, glucose concentrations may be adjusted. For preparing some samples in very low glucose ( $< 50\mathrm{mg / dL}$ ) or very high glucose range ( $>400\mathrm{mg / dL}$ ), blood was collected in capillary heparin tubes and then either incubated to allow glucose to hydrolyse or supplemented with glucose. Capillary whole blood glucose was then measured by the Healthpro™ Blood Glucose Monitoring System. The capillary whole blood was then centrifuged, and the plasma glucose was measured by the YSI 2300 Auto analyzer. The data is summarized below:
System Accuracy Results for Glucose concentration $< 75\mathrm{mg / dL}$
| Strip Lot | Within ± 5mg/dL | Within ± 10 mg/dL | Within ±15 mg/dL |
| --- | --- | --- | --- |
| 1 | 18/27 (70%) | 26/27 (96%) | 27/27 (100%) |
| 2 | 17/27 (63%) | 27/27 (100%) | 27/27 (100%) |
| 3 | 19/27 (70%) | 25/27 (93%) | 27/27 (100%) |
| Combined | 54/81 (67%) | 78/81 (96%) | 81/81 (100%) |
System Accuracy Results for Glucose concentration $\geq 75\mathrm{mg / dL}$
| Strip Lot | Within ± 5% | Within ± 10% | Within ± 15% | Within ± 20% |
| --- | --- | --- | --- | --- |
| 1 | 90/133 (68%) | 120/133 (91%) | 132/133 (99%) | 133/133 (100%) |
| 2 | 73/ 133 (55%) | 114/133 (86%) | 128/133 (96%) | 133/133 (100%) |
| 3 | 79/133 (59%) | 111/133 (83%) | 130/133 (98%) | 132/133 (99%) |
| Combined | 242/399 (61%) | 345/399 (86%) | 390/399 (98%) | 398/399 (99%) |
Regression between Healthpro™ BGMS results and the YSI 2300 for the capillary blood samples:
| Strip Lot | Linear Regressions | 95% CI Slope | 95%CI Intercept | R² | N |
| --- | --- | --- | --- | --- | --- |
| 1 | Y=0.9577x + 4.4167 | 0.946 to 0.970 | 1.910 to 6.923 | 0.9939 | 160 |
| 2 | Y=0.9747x + 4.1049 | 0.960 to 0.989 | 1.083 to 7.122 | 0.9914 | 160 |
| 3 | Y=0.9706x + 4.9351 | 0.956 to 0.985 | 1.768 to 8.103 | 0.9905 | 160 |
| Combined | Y=0.9676x + 4.4849 | 0.954 to 0.985 | 1.587 to 7.383 | 0.9917 | 480 |
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b. Matrix comparison:
Not applicable. Capillary whole blood is the only indicated matrix.
# 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):
# Lay user studies
One hundred and fifty (150) lay users fluent in English participated in the study. Three clinical sites were used with fifty lay users per site. Each participant was given a readability questionnaire, the instructions and the HealthproTM system. Layperson's hematocrit value was measured with NOVA system. Each participant obtained samples from their fingertip, dorsal hand, ventral palm, upper arm, forearm, calf and thigh and tested these samples on the HealthproTM Blood Glucose Meter using only the instructions in the user's manual and test strip insert. A healthcare professional collected blood from fingertip, dorsal hand, ventral palm, upper arm, forearm, calf, and thigh and tested the sample using the same meter. Capillary blood was also collected by healthcare professional and measured on an YSI-2300 Glucose Analyzer. Linear regression results from lay users and professionals are presented below.
| Test Item | Health Care Professional vs YSI 2300 | | | Layperson vs YSI 2300 | | |
| --- | --- | --- | --- | --- | --- | --- |
| Slope | *0.9883 | | | *0.9786 | | |
| y-intercept | 0.5067 mg/dL | | | 0.8057 mg/dL | | |
| Correlation coefficient | 0.9854 | | | 0.9821 | | |
| No. of samples | 150 | | | 150 | | |
| Range tested | 65-490 mg/dL | | | 65-490 mg/dL | | |
| <75 mg/dL | Within ± 5mg/dL | Within ± 10 mg/dL | Within ± 15mg/dL | Within ± 5mg/dL | Within ± 10 mg/dL | Within ± 15mg/dL |
| | 9/12 (75 %) | 12/12 (100 %) | 12/12 (100 %) | 9/12 (75 %) | 12/12 (100 %) | 12/12 (100 %) |
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Results at each alternative site (dorsal hand, ventral palm, upper arm, forearm, calf, and thigh) are presented below:
Table 1. Data analysis at DORSAL HAND
Patient DORSAL HAND vs YSI 2300
| System accuracy results for glucose concentration <75 mg/dL | | | |
| --- | --- | --- | --- |
| Within ± 5mg/dL | Within ± 10 mg/dL | Within ± 15mg/dL | |
| 0/4 (0%) | 4/4 (100%) | 4/4 (100%) | |
| System accuracy results for glucose concentration ≥75 mg/dL | | | | | |
| --- | --- | --- | --- | --- | --- |
| Within ±5% | Within ±10% | Within ±15% | Within ±20% | | |
| 110/146 (75%) | 141/146 (97%) | 146/146 (100%) | 146/146 (100%) | | |
Clinician DORSAL HAND vs YSI 2300
| System accuracy results for glucose concentration <75 mg/dL | | | |
| --- | --- | --- | --- |
| Within ± 5mg/dL | Within ± 10 mg/dL | | Within ± 15mg/dL |
| 3/4 (75%) | 4/4 (100%) | | 4/4 (100%) |
| System accuracy results for glucose concentration ≥75 mg/dL | | | |
| Within ±5% | Within ±10% | Within ±15% | Within ±20% |
| 118/146 (81%) | 145/146 (99%) | 145/146 (99%) | 146/146 (100%) |
Table 2. Data analysis at VENTRAL PALM
Patient VENTRAL PALM vs YSI 2300
| System accuracy results for glucose concentration <75 mg/dL | | | |
| --- | --- | --- | --- |
| Within ± 5mg/dL | Within ± 10 mg/dL | | Within ± 15mg/dL |
| 2/4 (50%) | 4/4 (100%) | | 4/4 (100%) |
| System accuracy results for glucose concentration ≥75 mg/dL | | | |
| Within ±5% | Within ±10% | Within ±15% | Within ±20% |
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| 101/146 (69%) | 138/146 (95%) | 146/146 (100%) | 146/146 (100%) |
| --- | --- | --- | --- |
Clinician VENTRAL PALM vs YSI 2300
| System accuracy results for glucose concentration <75 mg/dL | | | |
| --- | --- | --- | --- |
| Within ± 5mg/dL | Within ± 10 mg/dL | | Within ± 15mg/dL |
| 4/4 (100%) | 4/4 (100%) | | 4/4 (100%) |
| System accuracy results for glucose concentration ≥75 mg/dL | | | |
| Within ±5% | Within ±10% | Within ±15% | Within ±20% |
| 114/146 (78%) | 143/146 (98%) | 146/146 (100%) | 146/146 (100%) |
Table 3. Data analysis at UPPER ARM
Patient UPPER ARM vs YSI 2300
| System accuracy results for glucose concentration <75 mg/dL (4.2 mmol/L) | | | |
| --- | --- | --- | --- |
| Within ± 5mg/dL | Within ± 10 mg/dL | | Within ± 15mg/dL |
| 3/4 (75%) | 4/4 (100%) | | 4/4 (100%) |
| System accuracy results for glucose concentration ≥75 mg/dL | | | |
| Within ±5% | Within ±10% | Within ±15% | Within ±20% |
| 100/146 (68%) | 137/146 (94%) | 145/146 (99%) | 146/146 (100%) |
Clinician UPPER ARM vs YSI 2300
| System accuracy results for glucose concentration <75 mg/dL | | | |
| --- | --- | --- | --- |
| Within ± 5mg/dL | Within ± 10 mg/dL | | Within ± 15mg/dL |
| 4/4 (100%) | 4/4 (100%) | | 4/4 (100%) |
| System accuracy results for glucose concentration ≥75 mg/dL | | | |
| Within ±5% | Within ±10% | Within ±15% | Within ±20% |
| 85/146 (58%) | 136/146 (93%) | 145/146 (99%) | 146/146 (100%) |
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# Table 4. Data analysis at FOREARM
Patient FOREARM vs YSI 2300
| System accuracy results for glucose concentration <75 mg/dL | | | |
| --- | --- | --- | --- |
| Within ± 5mg/dL | Within ± 10 mg/dL | | Within ± 15mg/dL |
| 2/4 (50%) | 4/4 (100%) | | 4/4 (100%) |
| System accuracy results for glucose concentration ≥75 mg/dL | | | |
| Within ±5% | Within ±10% | Within ±15% | Within ±20% |
| 100/146 (68%) | 137/146 (94%) | 144/146 (99%) | 146/146 (100%) |
Clinician FOREARM vs YSI 2300
| System accuracy results for glucose concentration <75 mg/dL | | | |
| --- | --- | --- | --- |
| Within ± 5mg/dL | Within ± 10 mg/dL | | Within ± 15mg/dL |
| 4/4 (100%) | 4/4 (100%) | | 4/4 (100%) |
| System accuracy results for glucose concentration ≥75 mg/dL | | | |
| Within ±5% | Within ±10% | Within ±15% | Within ±20% |
| 97/146 (66%) | 138/146 (95%) | 146/146 (99%) | 146/146 (100%) |
Table 5. Data analysis at THIGH
Patient THIGH vs YSI 2300
| System accuracy results for glucose concentration <75 mg/dL | | | |
| --- | --- | --- | --- |
| Within ± 5mg/dL | Within ± 10 mg/dL | | Within ± 15mg/dL |
| 3/4(75%) | 4/4(100%) | | 4/4(100%) |
| System accuracy results for glucose concentration ≥75 mg/dL | | | |
| Within ±5% | Within ±10% | Within ±15% | Within ±20% |
| 116/146 (79%) | 144/146 (99%) | 146/146 (100%) | 146/146 (100%) |
Clinician THIGH vs YSI 2300
| System accuracy results for glucose concentration <75 mg/dL | | |
| --- | --- | --- |
| Within ± 5mg/dL | Within ± 10 mg/dL | Within ± 15mg/dL |
| 2/4(50%) | 4/4(100%) | 4/4(100%) |
| | | |
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| System accuracy results for glucose concentration ≥75 mg/dL | | | |
| --- | --- | --- | --- |
| Within ±5% | Within ±10% | Within ±15% | Within ±20% |
| 116/146(79%) | 146/146(100%) | 146/146(100%) | 146/146(100%) |
Table 6. Data analysis at CALF
Patient CALF vs YSI 2300
| System accuracy results for glucose concentration <75 mg/dL | | | |
| --- | --- | --- | --- |
| Within ± 5mg/dL | Within ± 10 mg/dL | Within ± 15mg/dL | |
| 3/4(75%) | 4/4(100%) | 4/4(100%) | |
| System accuracy results for glucose concentration ≥75 mg/dL | | | |
| Within ±5% | Within ±10% | Within ±15% | Within ±20% |
| 111/146(76%) | 143/146(98%) | 146/146(100%) | 146/146(100%) |
Clinician CALF vs YSI 2300
| System accuracy results for glucose concentration <75 mg/dL | | | |
| --- | --- | --- | --- |
| Within ± 5mg/dL | Within ± 10 mg/dL | Within ± 15mg/dL | |
| 3/4(75%) | 4/4(100%) | 4/4(100%) | |
| System accuracy results for glucose concentration ≥75 mg/dL | | | |
| Within ±5% | Within ±10% | Within ±15% | Within ±20% |
| 127/146(87%) | 145/146(99%) | 146/146(100%) | 146/146(100%) |
# 4. Clinical cut-off:
Not applicable
# 5. Expected values/Reference range:
Expected blood glucose values for normal people without diabetes are as below:
Fasting and before meal: Less than $100\mathrm{mg / dL}$ (5.6 mmol/L)
2 hours after meal: Less than $140\mathrm{mg / dL}$ (7.8 mmol/L)
American Diabetes Association (2010), Clinical Practice Recommendations, Diabetes Care 34 (Supplement 1): S11-S61.
# N. Instrument Name:
HealthproTM Blood Glucose Meter
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O. System Descriptions:
1. Modes of Operation:
Each test strip is single use and must be replaced with a new strip for additional readings.
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 fingertip, which is directly applied to the test strip.
5. Calibration:
The device must be coded with the code found on the current test strip label. No further calibration is required.
6. Quality Control:
There are three levels of glucose control solution (Level 1, 2 and 3) of which Level 2 is included with the test kit and can be run with this device. 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 vial 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. Hematocrit Study: The effect of different hematocrit levels on the performance of the Healthpro™ Blood Glucose Monitoring System was evaluated using venous whole blood samples with hematocrit levels of 20, 30, 40, 50 and 60% spiked with glucose to achieve 8 concentrations ranging from 32 to 530 mg/dL (32, 73, 121, 185, 253, 371, 459 and 530 mg/dL). Each sample was then tested 15 times and the values were compared with those obtained from YSI 2300. The % biases relative to YSI were acceptable within the claimed hematocrit range of 20 to 60%.
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2. Altitude study: Venous whole blood samples collected from donors were spiked with glucose to whole blood target levels of approximately 66, 220 and 349 mg/dL. Blood glucose target concentrations were then verified by the reference YSI glucose analyzer. Glucose measurements were obtained using the Healthpro™ Blood Glucose Monitoring System in an altitude chamber with adjusted pO2 from 156 to 71 mmHg by tonometry method blowing humidified mixed gas (O2, CO2 and N2) into the blood sample to adjust the pO2 level of the blood. The results demonstrate acceptable bias to YSI to support the claims in the labeling that altitudes up to 10,000 feet have no significant effect on blood glucose measurements from the Healthpro™ Blood Glucose Monitoring System.
3. Sample volume study: The sponsor performed a study to verify the test strip sample volume requirement and the test strip fill error requirement established for the Healthpro™ Blood Glucose Monitoring System. Blood samples were tested at six sample volumes (0.3, 0.5, 0.8, 1.0 and 1.5 μL) and values obtained were compared to YSI values. Results support the claimed sample volume of 0.5 μL and the error code for insufficient sample volume.
4. Temperature and humidity studies: The sponsor performed temperature and humidity studies using venous blood samples to evaluate temperatures ranging from 10°C to 40°C and relative humidity from 10% to 90%. Meter results were compared to YSI 2300 reference analyzer. Four temperature and humidity combinations were tested including low temperature/low humidity, low temperature/high humidity, high temperature/low humidity and high temperature/high humidity. No significant effect (relative to YSI 2300 reference analyzer) was observed with the temperature and humidity combinations tested. The results support the claims in the labeling that the system can be used in conditions of 10 to 40°C with relative humidity of 10 to 90%.
5. Infection Control Studies: The device is intended for single-patient use. Disinfection efficacy studies were performed using materials that comprise the meter and lancing device by an outside commercial testing laboratory demonstrating complete inactivation of hepatitis B (HBV) with CaviWipes Disinfecting Towelettes with EPA registration #46781-8. The sponsor also demonstrated that there was no change in performance or in the external materials of the meter and lancing device after 1,095 cleaning and disinfection cycles (one cycle includes one cleaning wipe plus one disinfecting wipe) to simulate 3 years of meter and lancing device use. Labeling was reviewed for adequate instructions for the validated cleaning and disinfection procedures.
6. The data transmission capability, data transmission port and Healthpro™ Software (firmware and communication) was evaluated in usability study and found to be acceptable. Additionally verification and validation of these functions were conducted and found to be acceptable.
7. EMC testing was evaluated and certified by UL Verification Service and Verification of Compliance certificates provided.
8. Flesch-Kincaid readability assessment was conducted and the results demonstrated that the User Manual, test strip package insert and control solution package insert were written at the 7.8, 7.9 and 7.6 grade levels respectively.
17
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9. Customer service is available 24 hours a day, 7 days a week by calling 1-888-446-3246.
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.