The iBGStar™ Blood Glucose Monitoring System is intended for the quantitative measurement of blood glucose levels in fresh capillary whole blood samples drawn from the fingertip, palms (at the base of the thumb), or forearms. It is intended to be used by a single patient and should not be used for testing multiple patients. The iBGStar™ 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 iBGstar Blood Glucose Monitoring System is not for the diagnosis of, or screening for diabetes, and is not intended for use with neonates. The iBGStar Diabetes Manager Application is intended for use in the home with the capability of sending glucose readings through email to an individual's healthcare professional in the review, analysis and evaluation of glucose test results to support an effective diabetes management program. It is an optional data management software accessory for use with the iBGStar Blood Glucose Monitoring System.
Device Story
iBGStar Blood Glucose Monitoring System (BGMS) comprises a handheld, codeless glucose meter, test strips, and control solutions. Meter uses glucose oxidase electrochemical assay; requires 0.5 uL capillary blood; provides results in 4-12 seconds. Meter connects directly to iPhone/iPod touch via dock connector. iBGStar Diabetes Manager Application stores, manages, and trends glucose data; enables email sharing with healthcare professionals. Used by patients at home for diabetes management. Meter software converts electrochemical signals to plasma-equivalent glucose concentrations. System includes lancing device, power adapter, and USB cable. Benefits include portable, integrated data management for improved diabetes control monitoring.
Clinical Evidence
In-house and clinical setting evaluations performed with diabetic patients. Studies demonstrated ease of operation and performance equivalence to predicate devices. No specific sensitivity/specificity metrics provided in summary.
Technological Characteristics
Glucose oxidase electrochemical sensing; polymer lithium-ion battery; dimensions 56x24x10 mm; weight 8.5g. Connectivity via direct integration with iPhone/iPod touch platform. No coding required. System includes meter, test strips, and control solution.
Indications for Use
Indicated for people with diabetes for self-monitoring of blood glucose levels using fresh capillary whole blood from fingertip, palm, or forearm. Not for neonates, screening/diagnosis of diabetes, critically ill, shock, dehydrated, or hyper-osmolar patients.
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
Jazz Blood Glucose Monitoring System (k071393)
WaveSense Diabetes Manager (k101597)
Submission Summary (Full Text)
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# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY ASSAY AND INSTRUMENT COMBINATION TEMPLATE
A. 510(k) Number:
k103544
B. Purpose for Submission:
New device
C. Measurand:
Whole Blood Glucose
D. Type of Test:
Quantitative, amperometric method, glucose oxidase
E. Applicant:
AgaMatrix, Inc.
F. Proprietary and Established Names:
iBGStar Blood Glucose Monitoring System
iBGStar Diabetes Manager Application
BGStar Control Solutions
G. Regulatory Information:
| Product Code | Classification | Regulation Section | Panel |
| --- | --- | --- | --- |
| CGA | II | 21 CFR 862.1345 - Glucose test system, Glucose oxidase | Chemistry (75) |
| JQP | I | 21 CFR 862.2100 - Calculator/data processing module for clinical use | Chemistry (75) |
| NBW | II | 21 CFR 862.1345 - System, Test, Blood Glucose, Over the Counter | Chemistry (75) |
| JJX | I, reserved | 21 CFR 862.1660 – Quality Control Material (assayed and unassayed) | Chemistry (75) |
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H. Intended Use:
1. Intended use(s):
See Indications for use below.
2. Indication(s) for use:
The iBGStar™ Blood Glucose Monitoring System is intended for the quantitative measurement of blood glucose levels in fresh capillary whole blood samples drawn from the fingertip, palms (at the base of the thumb), or forearms. It is intended to be used by a single patient and should not be used for testing multiple patients. The iBGStar™ 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 iBGstar Blood Glucose Monitoring System is not for the diagnosis of, or screening for diabetes, and is not intended for use with neonates.
BGStar™ Test Strips are for use with the iBGStar™ Blood Glucose Meter to quantitatively measure glucose in fresh capillary whole blood samples drawn from the fingertip, palms (at the base of the thumb), or forearms. Palm and forearm testing (Alternative Site Testing) should be done only during steady-state times (when glucose is not changing rapidly).
BGStar Control Solutions are for use with the iBGStar™ Blood Glucose Meter and iBGStar Test Strips to check that the meter and test strips are working together properly and that the test is performing correctly.
The iBGStar Diabetes Manager Application is intended for use in the home with the capability of sending glucose readings through email to an individual’s healthcare professional in the review, analysis and evaluation of glucose test results to support an effective diabetes management program. It is an optional data management software accessory for use with the iBGStar Blood Glucose Monitoring System.
3. Special conditions for use statement(s):
For prescription and 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) 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).
4. Special instrument requirements:
The iBGStar Blood Glucose Meter
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I. Device Description:
The iBGStar Blood Glucose Monitoring System (BGMS) consists of a hand-held blood glucose meter, test strips and one control material (an additional level of control material is available upon request). The meter is codeless and does not require a calibration code. The meter is turned on by strip insertion and then the user applies finger-tip/palm blood or control solution to the strip. The meter begins the assay, which completes in 4 - 12 seconds. The meter’s software converts the signal generated from the test strip into a plasma equivalent glucose concentration and displays the value on the meter’s LCD screen. A dock connector cover, lancing device with cap, power adapter and micro-USB to USB cable is also included.
The iBGStar Blood Glucose Meter can download test results to the iBGStar Diabetes Manager Application (or App) via the dock connector on the iPhone or iPod touch. The app can be used to store and manage patient’s diabetes information, review trends, or share with patient’s healthcare team.
The meter may be used with the iPod touch, 4th generation, and the iPhone 4.
J. Substantial Equivalence Information:
1. Predicate device name(s):
Jazz Blood Glucose Monitoring System, WaveSense Diabetes Manager
2. Predicate K number(s):
k071393, k101597
3. Comparison with predicate:
Blood Glucose Monitoring System (meter, strips, controls):
| Similarities | | |
| --- | --- | --- |
| Characteristic | Predicate device (k071393) | Proposed Device |
| Intended use | For the quantitative measurement of blood glucose levels from fresh capillary whole blood samples taken from the fingertip, palms (at the base of the thumb), or forearms | Same |
| Calibration | No coding required | Same |
| Test Principle /Enzyme | Glucose oxidase | Same |
| Control levels | Two levels | Same |
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| Differences | | |
| --- | --- | --- |
| Characteristic | Predicate device (k071393) | Proposed Device |
| Backlight in meter | Yes | No |
| Number of results stored in meter | 1865 | 300 |
| Meter power source | Two CR-2032, 3 volt, lithium batteries | Polymer lithium-ion rechargeable batteries |
| Meter Size | L-84 mm, W-46 mm, H-19.5 mm | L-56 mm, W-24 mm, H-10 mm |
| Meter Weight | 48g | 8.5g |
Data management system:
| Similarities | | |
| --- | --- | --- |
| Characteristic | Predicate device (k101597) | Proposed Device |
| Intended use | Download glucose readings to a data management system to aid in the effective management of diabetes | Same |
| Management tools | Logbooks and trend charts | Same |
| Differences | | |
| Characteristic | Predicate device (k101597) | Proposed Device |
| Upload to | PC (computer) | Device compatible with the iPhone operating system |
| Transfer of glucose readings | Cable download | Transfers to the iPhone/iPod touch automatically via the dock |
# K. Standard/Guidance Document Referenced (if applicable):
ISO 15197:2003(E) In vitro diagnostic test systems – Requirements for blood glucose monitoring systems for self-testing in managing diabetes mellitus.
CLSI EP7-A2: Interference Testing in the Clinical Laboratory; Approved Guideline
IEC 61326: Electrical equipment for measurement, control and laboratory use
IEC 61000-4-2: Electromagnetic compatibility (EMC) – Part 4-2: Testing and measurement techniques
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CEI/IEC 61010-2-101: Safety requirements, Particular requirements for in vitro diagnostic (IVD) medical equipment
IEC 61010-1 Edition 2.0: Safety requirements for electrical equipment for measurement, control and laboratory use
IEC 60068-2-64: Environmental Testing Part 2 – Test methods
ISO 13484:2003 Medical devices – Quality management systems – Requirements for regulatory purposes
## L. Test Principle:
The BGStar test strip contains glucose oxidase enzyme with a redox chemical mediator that produces an electrochemical signal in proportion to the glucose concentration in the blood sample. The iBGStar meter measures this signal, using dynamic electrochemistry to correct for common analytical interferences such as hematocrit.
## M. Performance Characteristics (if/when applicable):
### 1. Analytical performance:
#### a. Precision/Reproducibility:
Repeatability (between run precision) was evaluated at room temperature using venous whole blood adjusted to five different levels of glucose. Twelve iBGStar blood glucose meters were used, along with twelve individual vials of test strips, one vial being assigned to each BGMS. The glucose in a venous blood sample, having Hematocrit $42 \pm 2\%$, was allowed to glycolyze to a low level by standing overnight. Concentrated glucose solution was added to glucose depleted blood to achieve five different blood glucose concentration levels.
| Glucose conc. (mg/dL) | Meter | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 36 | Mean | 29.5 | 29.7 | 27.8 | 29.6 | 27.9 | 29.7 | 30 | 30.4 | 28.9 | 29.5 | 28.6 | 28.4 |
| | SD | 2.2 | 1.2 | 1.8 | 2.1 | 1.6 | 1.6 | 2.3 | 2.1 | 2.0 | 2.1 | 1.0 | 1.2 |
| | CV % | 7.4 | 3.9 | 6.3 | 7.0 | 5.7 | 5.3 | 7.7 | 6.8 | 6.8 | 7.0 | 3.4 | 4.1 |
| 79 | Mean | 70.8 | 71 | 70 | 68.7 | 68.6 | 70.8 | 69.8 | 71.4 | 69.4 | 71.4 | 67.9 | 69.7 |
| | SD | 3.8 | 3.3 | 2.1 | 2.4 | 2.1 | 3.0 | 2.1 | 2.3 | 2.4 | 3.5 | 2.1 | 3.6 |
| | CV % | 5.4 | 4.6 | 3.0 | 3.4 | 3.0 | 4.3 | 3.0 | 3.2 | 3.4 | 4.9 | 3.1 | 5.2 |
| 118 | Mean | 104.6 | 109.1 | 101.5 | 105.7 | 104.8 | 108.5 | 103.9 | 108.8 | 103.3 | 105.9 | 102.6 | 107.0 |
| | SD | 5.1 | 3.5 | 4.0 | 2.9 | 2.9 | 3.4 | 3.2 | 1.9 | 3.4 | 3.5 | 3.3 | 3.2 |
| | CV % | 4.8 | 3.2 | 4.0 | 2.8 | 2.8 | 3.1 | 3.1 | 1.7 | 3.3 | 3.3 | 3.3 | 3.0 |
| 201 | Mean | 179.8 | 183.8 | 179.8 | 181.3 | 183.3 | 188.8 | 174.9 | 187.7 | 180.7 | 186.1 | 176.5 | 186.1 |
| | SD | 5.6 | 6.8 | 6.4 | 5.2 | 4.4 | 5.1 | 6.2 | 2.3 | 5.7 | 4.8 | 3.7 | 5.4 |
| | CV % | 3.1 | 3.7 | 3.5 | 2.9 | 2.4 | 2.7 | 3.5 | 1.2 | 3.1 | 2.6 | 2.1 | 2.9 |
| 347 | Mean | 333.9 | 323.3 | 311.7 | 327.4 | 331.1 | 339.5 | 312.7 | 329.6 | 329.5 | 329 | 326.2 | 329.0 |
| | SD | 8.3 | 15.9 | 8.7 | 8.6 | 14.3 | 8.6 | 8.0 | 8.5 | 6.1 | 10.5 | 8.3 | 14.0 |
| | CV % | 2.5 | 4.9 | 2.8 | 2.6 | 4.3 | 2.5 | 2.6 | 2.6 | 1.9 | 3.2 | 2.5 | 4.3 |
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Intermediate (day-to-day) precision of the iBGStar Blood Glucose System was determined using one lot of glucose test strips and three different levels of glucose control solutions. Three different operators collected data over a period of ten days on twelve individual iBGStar blood glucose meters. Twelve iBGStar blood glucose meters were used, along with twelve individual vials of test strips from a single lot, one vial being assigned to every BGMS. Three different operators collected data over a testing period which extended over ten separate days.
| | Results from Control Solution, mg/dL | | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | 50 mg/dL (Level 1) | | | 108 mg/dL (Level 2) | | | 270 mg/dL (Level 4) | | |
| Meter | mean | SD | CV, % | mean | SD | CV, % | mean | SD | CV, % |
| 1 | 56.7 | 3.7 | 6.6 | 136.0 | 3.8 | 2.8 | 368.8 | 9.8 | 2.7 |
| 2 | 55.6 | 1.0 | 1.7 | 133.2 | 2.4 | 1.8 | 354.5 | 14.0 | 4.0 |
| 3 | 55.7 | 1.5 | 2.7 | 134.8 | 3.0 | 2.2 | 346.2 | 14.0 | 4.0 |
| 4 | 55.7 | 1.6 | 2.9 | 133.8 | 2.9 | 2.2 | 350.6 | 6.5 | 1.8 |
| 5 | 55.3 | 1.1 | 1.9 | 134.9 | 2.2 | 1.6 | 365.1 | 10.1 | 2.8 |
| 6 | 55.7 | 0.9 | 1.7 | 137.3 | 1.9 | 1.4 | 357.1 | 6.7 | 1.9 |
| 7 | 56.4 | 2.4 | 4.2 | 130.5 | 1.9 | 1.5 | 350.2 | 12.9 | 3.7 |
| 8 | 55.5 | 1.8 | 3.2 | 135.6 | 3.5 | 2.6 | 362.3 | 6.8 | 1.9 |
| 9 | 56.7 | 2.4 | 4.2 | 135.8 | 4.4 | 3.3 | 359.5 | 11.1 | 3.1 |
| 10 | 55.4 | 1.6 | 3.0 | 133.2 | 3.2 | 2.4 | 344.5 | 7.6 | 2.2 |
| 11 | 55.0 | 0.7 | 1.2 | 136.3 | 1.8 | 1.3 | 349.7 | 9.8 | 2.8 |
| 12 | 58.0 | 3.0 | 5.2 | 138.8 | 1.9 | 1.4 | 346.0 | 8.8 | 2.5 |
## b. Linearity/assay reportable range:
A venous blood sample was drawn by venipuncture from a single subject. The sample was adjusted to have a Hematocrit of $42 \pm 2\%$ and adjusted to a low glucose level by metabolic depletion of glucose upon aging at room temperature, the "Low" pool. A sample was spiked to a high level of glucose near the upper limit of the tested range of system performance, the "High" pool, by addition of glucose. Glucose levels were determined by the YSI 2300 glucose analyzer.
Known volumes of each of the Low and High pools were mixed to prepare nine samples with a range of glucose concentrations 20 to $600\mathrm{mg/dL}$. This study was conducted over a period of one day, using one lot of strips and twelve iBGStar meters.
Data were evaluated for linearity according to the guidelines given CLSI EP6-A, Evaluation of the Linearity of Quantitative Measurement Procedures: A Statistical Approach; Approved Guidelines.
A plot of iBGStar data versus YSI reference data was constructed. First-order, Second-order and Third-order polynomial regression analysis was performed on the data.
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The first-order (linear) model was fitted to the data using weighted least-squares regression. First-order, second-order and third-order polynomial regression coefficients and their standard errors were computed, together with degrees of freedom and standard errors of regression
The statistical significance of any non-linearity was assessed by determining whether the non-linear coefficients of the second-order and third-order polynomial models were significantly non-zero using Student's $t$ test. For these coefficients, the t statistic and the significance of the $t$ -statistic ( $p$ value) were computed. The better fitting (second-order or third-order) polynomial was selected for comparative analysis against the first-order model. Deviation from linearity was computed at each concentration.
The bias for sample concentrations $< 75 \, \mathrm{mg/dL}$ was less than $1.5 \, \mathrm{mg/dL}$ and bias for glucose sample concentrations $>75 \, \mathrm{mg/dL}$ did not exceed $6.3\%$ .
| Order | Coeff. Symbol | Coeff. Value | Coeff. SE | t-stat | p Value |
| --- | --- | --- | --- | --- | --- |
| First | b0 | -2.70 | 1.32 | - | - |
| First | b1 | 1.04 | 0.01 | - | - |
| | | | | | |
| Second | b0 | -1.32 | 3.25 | - | - |
| Second | b1 | 0.95 | 0.02 | - | - |
| Second | b2 | 1.88 x 10-4 | 3.74 x 10-5 | 5.02 | 2.40 x 10-3 |
| | | | | | |
| Third | b0 | 1.20 | 4.09 | - | - |
| Third | b1 | 0.90 | 0.06 | - | - |
| Third | b2 | 4.12 x 10-4 | 2.24 x 10-4 | 1.84 | 0.13 |
| Third | b3 | -2.38 x 10-7 | 2.35 x 10-7 | -1.01 | 0.36 |
The $t$ -statistics shown in Table 4 indicate that the second-order polynomial model has significant non-linearity ( $p < 0.05$ )
Differences between linear and non-linear models were evaluated at each sample glucose concentrations and differences show deviations to be no more than $5\%$ for sample glucose concentrations $>75 \, \mathrm{mg/dL}$ , and were zero for sample glucose concentrations $<75 \, \mathrm{mg/dL}$ .
Weighted linear regression analysis results in an equation of $y = 1.04x - 2.7$
c. Traceability, Stability, Expected values (controls, calibrators, or methods):
Controls and test strips are identical to those cleared in k071393.
The control level 2 is offered in kit. The level 4 control solution can be requested by calling Customer service at 1-800-633-1610.
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d. Detection limit:
The reportable range is 20 to $600\mathrm{mg / dL}$ based on the linearity/assay reportable range study above (section M.1.b).
e. Analytical specificity:
Interference study was designed according to CLSI EP7-A2 guideline. 23 common endogenous and exogenous interference substances were evaluated by spiking venous blood with three levels of glucose concentrations (70, 120 and $300\mathrm{mg / dL}$ ). The glucose samples were spiked with five levels of the potentially interfering compounds and tested on 3 lots of test strips. Bias was calculated as the mean percent difference in glucose reading between the test and control concentration groups. All samples tested showed $\%$ bias within $\pm 10\%$ between the test and the control groups. The sponsor claims no significant interference ( $\leq 10\%$ difference) for the substances and concentrations shown in the table below:
| The following substances up to concentrations listed shall have no significant effect on test results (≤ ± 10%) | |
| --- | --- |
| Acetaminophen | 20 mg/dL |
| Ascorbic acid | 2 mg/dL |
| Bilirubin | 15 mg/dL |
| Caffeine | 6 mg/dL |
| Cholesterol | 600 mg/dL |
| Fructose | 18 mg/dL |
| Galactose | 120 mg/dL |
| Ibuprofen | 50 mg/dL |
| Lactose | 10 mg/dL |
| a-Lipoic Acid | 2 mg/dL |
| Maltose | 120 mg/dL |
| Methyl-DOPA | 1.5 mg/dL |
| Salicylate | 60 mg/dL |
| Sucrose | 20 mg/dL |
| Tolazamid | 5 mg/dL |
| Uric acid | 23.5 mg/dL |
| Xylose | 120 mg/dL |
The sponsor has the following limitations in their labeling:
"Results may be overestimated with abnormally high concentrations of ascorbic acid (vitamin C) $>2\mathrm{mg / dL}$ (0.11 mmol/L)."
f. Assay cut-off:
Not applicable.
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2. Comparison studies:
a. Method comparison with predicate device:
The system accuracy of the iBGStar BGMS was assessed by analysis of fresh capillary whole blood samples obtained by finger stick from 100 individuals on 13 days (over a 30 day period) at a single clinical site. Glucose concentrations measured with the iBGStar BGMS were compared to measurements on the YSI 2300. Eight venous samples were spiked or depleted to achieve specific glucose ranges.
Samples were collected and analyzed over 30 days. A single lot of test strips were used and at least ten vials of test strips were used.
93 capillary whole blood samples obtained by fingerstick and 7 donor samples were used in the system accuracy analysis. The range of reference glucose concentrations obtained during this study was from 34.8 to 508.7 mg/dL. In order to supplement the five samples below 60 mg/dL, three additional samples were glycolyzed. Four samples were spiked to achieve specimens with glucose above 450 mg/dL. The range of hematocrit obtained during this study was from 31.9% to 51.9%.
The singlicate iBGStar glucose concentrations were plotted vs. the YSI 2300 glucose analyzer reference and linear regression was performed:
| Comparison | n | Slope (95% CI) | y-Int (95% CI) | Sy.x | r |
| --- | --- | --- | --- | --- | --- |
| iBGStar glucose vs. YSI plasma glucose | 100 | 1.028 (± 0.023) | -6.190 (± 4.804) | 12.77 | 0.994 |
Summary of system accuracy results for glucose concentrations < 75 mg/dL of iBGStar vs. YSI:
| Within ± 5 mg/dL | Within ± 10 mg/dL | Within ± 15 mg/dL |
| --- | --- | --- |
| 11/17 (65%) | 17/17 (100%) | 17/17 (100%) |
Summary of system accuracy results for glucose concentrations ≥ 75 mg/dL of iBGStar vs. YSI:
| Within ±5% | Within ±10% | Within ±15% | Within ±20% |
| --- | --- | --- | --- |
| 56/83 (67%) | 76/83 (92%) | 82/83 (99%) | 83/83 (100%) |
b. Matrix comparison:
Not applicable. Only capillary whole blood samples are an acceptable matrix.
3. Clinical studies:
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a. Clinical Sensitivity:
Not applicable.
b. Clinical specificity:
Not applicable.
c. Other clinical supportive data (when a. and b. are not applicable):
# User testing and alternative site testing study:
The iBGStar User Study including Alternative Site Testing was conducted to assess the performance of the iBGStar BGMS in the hands of the intended uses for blood sampling from the finger and alternative sites (the palm and forearm) and for the user to evaluate the ease of using the system to obtain a blood glucose reading. Results were analyzed by comparing the alternative site (palm and forearm) and fingerstick blood glucose readings obtained by the lay user against the YSI 2300 STAT Plus reference value.
# System accuracy user palm results of iBGStar vs. YSI:
for glucose concentrations $< 75\mathrm{mg / dL}$
| Within ± 5 mg/dL | Within ± 10 mg/dL | Within ± 15 mg/dL |
| --- | --- | --- |
| 6/7 (85.7%) | 7/7 (100%) | 7/7 (100%) |
for glucose concentrations $\geq 75\mathrm{mg / dL}$
| Within ±5% | Within ±10% | Within ±15% | Within ±20% |
| --- | --- | --- | --- |
| 45/100 (45%) | 77/100 (77%) | 87/100 (87%) | 96/100 (96%) |
# System accuracy user forearm results of iBGStar vs. YSI:
for glucose concentrations $< 75\mathrm{mg / dL}$
| Within ± 5 mg/dL | Within ± 10 mg/dL | Within ± 15 mg/dL |
| --- | --- | --- |
| 4/7 (57.1%) | 7/7 (100%) | 7/7 (100%) |
for glucose concentrations $\geq 75\mathrm{mg / dL}$
| Within ±5% | Within ±10% | Within ±15% | Within ±20% |
| --- | --- | --- | --- |
| 41/98 (41.8%) | 68/98 (69%) | 84/98 (85.7%) | 94/98 (95.9%) |
# System accuracy user finger results of iBGStar vs. YSI:
for glucose concentrations $< 75\mathrm{mg / dL}$
| Within ± 5 mg/dL | Within ± 10 mg/dL | Within ± 15 mg/dL |
| --- | --- | --- |
| 4/7 (57.1%) | 6/7 (85.7%) | 7/7 (100%) |
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for glucose concentrations ≥ 75 mg/dL
| Within ±5% | Within ±10% | Within ±15% | Within ±20% |
| --- | --- | --- | --- |
| 57/100 (57%) | 88/100 (88%) | 96/100 (96%) | 98/100 (98%) |
4. Clinical cut-off:
Not applicable.
5. Expected values/Reference range:
Expected blood glucose results for non-pregnant people without diabetes were cited from the literature¹ and presented in the labeling as follows:
Fasting: 70-99 mg/dL
¹American Diabetes Association, Position Statement, Standards of Medical Care in Diabetes, Diabetes Care 34 (suppl1): S11-S61, 2011.
N. Instrument Names:
iBGStar Meter, iBGStar Diabetes Manager Application
O. System Descriptions:
1. Principles of Operation:
The operating system requirements for the iBGStar Diabetes Manager Application are: iPhone Operating System version 3.0 or higher and at least 10 MB of available space. The app is for use on iPhone OS versions 3.0, 4.0 and 5.0.
2. Modes of Operation:
Each test strip is single use and requires a sample volume of 0.5 uL.
Does the applicant’s device contain the ability to transmit data to a computer, webserver, or mobile device?
Yes ☐ X ☐ or No ☐
Does the applicant’s device transmit data to a computer, webserver, or mobile device using wireless transmission?
Yes ☐ or No ☐ X ☐
2. Software:
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FDA has reviewed applicant’s Hazard Analysis and software development processes for this line of product types:
Yes ☐ X ☐ or No ☐
3. Specimen Identification:
iBGStar meter: There is no sample identification function with this device. Samples are applied directly to the test strip as they are collected.
iBGStar Diabetes Manager Application: Specimen identification is based on time and date of testing
4. Specimen Sampling and Handling:
iBGStar meter: The glucose test is intended to be used with capillary whole blood from the finger, palm, and forearm only. The whole blood sample is applied directly to the test strip by capillary action.
iBGStar Diabetes Manager Application: Data transmission from glucose meters using capillary whole blood samples
5. Calibration:
There is no calibration required for the iBGStar meter by the user. The meter is plasma-calibrated and requires no coding.
6. Quality Control:
Glucose control solutions at two different concentrations can be run with this device. One level of control solution is provided with the kit. 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. A usability study was performed to assess the readability of the labeling for the US market by surveying the 107 lay users (aged 18-80 yrs old) that participated in the accuracy study. Participants varied in age, education, country of origin, and there were more men (61%) than women (39%). These lay users also completed a questionnaire to response to whether the device is easy to use and the Instructions for use were written in a way that makes it easy to use. The majority of the users responded that the device is very easy to use.
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2. Flesch-Kincaid readability assessment was conducted and the results showed that the labeling (Owner’s Guide, test strip package insert and control solution package insert) were written at the 8th grade level.
3. Customer service is available 24/7, 365 days a year. Toll free phone number is 1-800-633-1610 for customer support.
4. A sample volume study was performed to verify the test strip sample volume requirement and the test strip fill error requirement established for the iBGStar BGMS. One lot of test strips was tested using blood from ten donors. Blood at each concentration was applied to strips at five target sample volumes of 1.0, 0.6, 0.5, 0.4 and 0.25 μL. Protocols and acceptance criteria were provided and found to be acceptable. The sponsor concluded that sample volume of ≥0.4 μL produced accurate results and samples <0.4 μL give an error code.
5. Temperature and humidity operating conditions were evaluated for temperatures ranging from 10°C to 40°C and relative humidity from 25% to 90%. Protocol and acceptance criteria were provided and found to be acceptable. The results supported the Sponsor’s claimed operating temperature from 10°C to 40°C (50°F to 104°F).
6. EMC testing was evaluated and certified by TUV Rheinland and a test report was submitted stating that the iBGStar passed all tests; dated November 3, 2010.
7. The device is intended for single-patient use only. Super-Sani Cloth Germicidal Disposable Wipes (Professional Disposables International, Inc., EPA Registration #9480-4) validated demonstrating complete inactivation of live virus for use with the meter lancing device, iPhone 4 and 4th generation iPod touch. The sponsor also demonstrated that there was no change in performance or in the external materials of the meter, lancing device, iPhone 4 and 4th generation iPod touch after 260 cleaning cycles and 260 disinfection cycles designed to simulate 5 years of device use.
8. A study was conducted to evaluate the effect of altitude on the iBGStar BGMS. 3 lots of test strips were tested on 12 meters using blood from 56 donors at that covered the range of 47 – 413 mg/dL glucose at 10,000 feet above sea level. Each venous blood sample was also tested by the YSI 2300 analyzer. The meter readings obtained were compared to the YSI method and the percent bias against the YSI results. Bias was within ± 10%. Based on the data, the sponsor claims that the iBGStar BGMS can be used at altitude up to 10,000 feet.
9. The sponsor performed a study to evaluate potential interference from hematocrit using nine different hematocrit (Hct) levels (20, 25, 30, 35, 40, 45, 50, 55, 60%) across the glucose measuring range (20-600 mg/dL). At each hematocrit level, 6 samples at glucose concentration of 30, 65, 150, 250, 350 and 450 mg/dL were tested against the YSI method. 3 lots of test strips were tested on 12 meters and the values were compared to the YSI method and the nominal hematocrit level (40%). All individual test results were within 15%, therefore the sponsor claims that hematocrit between 20% to 60% do not significantly affect the glucose results.
13
{13}
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.
14
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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.