IDEAL LIFE GLUCO-MANAGER BLOOD GLUCOSE MONITORING SYSTEM
K132180 · Ideal Life, Inc. · NBW · Jun 25, 2014 · Clinical Chemistry
Device Facts
Record ID
K132180
Device Name
IDEAL LIFE GLUCO-MANAGER BLOOD GLUCOSE MONITORING SYSTEM
Applicant
Ideal Life, Inc.
Product Code
NBW · Clinical Chemistry
Decision Date
Jun 25, 2014
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 862.1345
Device Class
Class 2
Indications for Use
The IDEAL LIFE GlucoManager™ Blood Glucose Monitoring System, Model GMM0002 is intended to be used for the quantitative measurement of qlucose in fresh capillary whole blood samples drawn from the fingertip or alternative sites (palm, forearm, upper arm, calf, and thigh). The system is intended to be used by a single patient and should not be shared. The IDEAL LIFE GlucoManager™ Blood Glucose Monitoring System, Model GMM0002 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 system is not to be used for the diagnosis of or screening for diabetes or for neonatal use. Alternative site testing should only be done during steady state times when blood glucose is not changing rapidly. The IDEAL LIFE Blood Glucose Test Strips, Model AGS-1112 are for use with the IDEAL LIFE GlucoManager™ to quantitatively measure glucose in fresh capillary whole blood drawn from the fingertips, palm, forearm, upper arm, calf, and thigh. The IDEAL LIFE Control Solution, Model GCS-0104 is intended for use with IDEAL LIFE GlucoManager™ and IDEAL LIFE Blood Glucose Test Strips, Model AGS-1112. The control solution can be used to check that the qlucose meter and test strips are working properly and that the measurement is accurate. The IDEAL LIFE GlucoManager™ can wirelessly communicate with a communication gateway such as the IDEAL LIFE Pod™ or the IDEAL LIFE Gateway Application™. The IDEAL LIFE Gateway Application receives data wirelessly from IDEAL LIFE devices to transmit over the Internet from the user's mobile device. The Gateway Application is intended to aid people at home and health care professionals to review and evaluate historical blood glucose results, to support effective health care management. The IDEAL LIFE Gateway Application™ makes no interpretation, evaluation, medical iudgment or recommendations for treatment. This device is not intended as a substitute for medical care.
Device Story
System consists of GMM0002 meter, AGS-1112 test strips, and GCS 0104 control solutions. Uses electrochemical biosensor (glucose oxidase) and capillary action to draw 0.7μL blood sample into chamber. Meter measures electrical current generated by glucose reaction; calculates and displays result in 5 seconds. Used at home by patients for diabetes management. Features Bluetooth/Internet connectivity to transmit data to IDEAL Life Pod or Gateway application for remote review by patients and healthcare professionals. Gateway application provides historical data visualization; makes no medical interpretations or treatment recommendations. Benefits include convenient self-monitoring and remote data sharing for improved diabetes management.
Clinical Evidence
Bench testing only. Device conforms to ISO 15197, IEC 61010-1, IEC 61010-2-101, and EN 61326-1 standards. No clinical study data provided.
Technological Characteristics
Electrochemical biosensor; Glucose Oxidase enzyme; Amperometric detection. Measuring range 20-600 mg/dL. Sample volume 0.7μL. Connectivity: Bluetooth/Internet. Power: 3V (2xAAA). Dimensions: 77.3mm x 60.2mm x 25mm. Standards: ISO 15197:2003, IEC 61010-1, IEC 61010-2-101, EN 61326-1/2-6, ISO 14971.
Indications for Use
Indicated for quantitative glucose measurement in fresh capillary whole blood (fingertip or alternative sites: palm, forearm, upper arm, calf, thigh) for single-patient home use by diabetics to monitor diabetes control. Contraindicated for diabetes diagnosis, screening, 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
AG-608N Single Blood Glucose Monitoring System (k110017)
Submission Summary (Full Text)
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# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY ASSAY AND INSTRUMENT COMBINATION TEMPLATE
A. 510(k) Number:
k132180
B. Purpose for Submission:
New device
C. Measurand:
Capillary whole blood
D. Type of Test:
Quantitative Amperometric assay (FAD-Glucose Oxidase)
E. Applicant:
Ideal Life, Inc.
F. Proprietary and Established Names:
IDEAL LIFE GlucoManager Blood Glucose Monitoring System, Model GMM0002
G. Regulatory Information:
1. Regulation section:
862.1345, Glucose Test System
862.2100, Calculator/Data Processing Module, For Clinical Use
862.1660, Single (Specified) Analyte Controls (Assayed and Unassayed)
2. Classification:
Class II
Class I, reserved
3. Product code:
NBW, Blood Glucose Monitoring System
CGA, Glucose Test System
JQP, Calculator/Data Processing Module, For Clinical Use
JJX, Quality Control material (assayed and unassayed)
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4. Panel:
Chemistry (75)
H. Intended Use:
1. Intended use(s):
See indication(s) for use below.
2. Indication(s) for use:
The IDEAL LIFE GlucoManager™ Blood Glucose Monitoring System, Model GMM0002 is intended to be used for the quantitative measurement of glucose in fresh capillary whole blood samples drawn from the fingertip or alternative sites (palm, forearm, upper arm, calf, and thigh). The system is intended to be used by a single patient and should not be shared.
The IDEAL LIFE GlucoManager™ Blood Glucose Monitoring System, Model GMM0002 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 system is not to be used for the diagnosis of or screening for diabetes or for neonatal use. Alternative site testing should only be done during steady state times when blood glucose is not changing rapidly.
The IDEAL LIFE Blood Glucose Test Strips, Model: AGS-1112 are for use with the IDEAL LIFE GlucoManager, Model GMM0002 to quantitatively measure glucose in fresh capillary whole blood drawn from the fingertips, palm, forearm, upper arm, calf, and thigh.
The IDEAL LIFE Control Solution, Model: GCS 0104 is intended for use with IDEAL LIFE GlucoManager, Model GMM0002 and IDEAL LIFE Blood Glucose Test Strips, Model AGS-1112. The control solution can be used to check that the glucose meter and test strips are working properly and that the measurement is accurate.
IDEAL Life GlucoManager™ Blood Glucose Monitoring System, Model GMM0002 can wirelessly communicate with a communication gateway or an access point such as the IDEAL Life Pod or to the IDEAL Life Gateway application. The IDEAL LIFE Gateway Application receives data wirelessly from IDEAL LIFE devices to transmit over the internet from the user's mobile device. The Gateway Application is intended to aid people at home and health care professionals to review and evaluate historical blood glucose results, to support effective health care management.
The IDEAL LIFE Gateway application makes no interpretation, evaluation, medical judgment or recommendations for treatment. This device is not intended as a substitute
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for medical care.
3. Special conditions for use statement(s):
- For In Vitro Diagnostic use only
- Single patient use only
- Not intended for use on neonates
- Not intended for use on arterial blood, neonates, serum or plasma
- Not intended for use on individuals undergoing oxygen therapy
- Not for use by those in a hyperglycemic-hyperosmolar state, with or without ketosis
- Not for use on critically ill individuals
- Not to be used for individuals who are dehydrated, hypertensive, hypotensive or in shock
- AST should not be used to calibrate CGMs or in insulin dose calculations
- AST should only be used during periods of steady state blood glucose conditions
- Do not use for screening or diagnosis of diabetes mellitus
4. Special instrument requirements:
- IDEAL Life GlucoManager, Model GMM0002
I. Device Description:
The IDEAL LIFE GlucoManager™ GMM0002 Blood Glucose Monitoring System, Model GMM0002 consists of the IDEAL LIFE GlucoManager, Model GMM0002, IDEAL LIFE test strips, Model AGS-1112 and IDEAL Life Control solutions (three levels). The IDEAL LIFE GlucoManager™ is based on an electrochemical biosensor technology (electrochemical) and the principle of capillary action. Capillary action at the end of the test strip draws the blood into the action chamber and the blood glucose result is displayed in 5 seconds. The IDEAL LIFE Control Solutions come in three levels (level I, II, and III). The control solutions are used to test the performance of the device. It uses the same technological characteristics for testing as its predicate device. Level II will be provided in the system kit.
The IDEAL LIFE GlucoManager™ can wirelessly communicate via Bluetooth and Internet with a communication gateway (the optional IDEAL LIFE Pod™) or an access point to transmit blood glucose information to be displayed on a personal computer.
J. Substantial Equivalence Information:
1. Predicate device name(s):
AG-608N Single Blood Glucose Monitoring System
2. Predicate 510(k) number(s):
k110017
3. Comparison with predicate:
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| Similarities | | |
| --- | --- | --- |
| Item | Candidate Device IDEAL LIFE GlucoManager GMM0002 k132180 | Predicate Device AG-608N Single BGMS k110017 |
| Intended use | Quantitative measurement of blood glucose in fresh capillary whole blood | Same |
| Detection Method | Amperometry | Same |
| Enzyme | Glucose Oxidase | Same |
| Measuring range | 20-600mg/dL | Same |
| Sample Volume | 0.7μL | Same |
| Sample type | Capillary whole blood from fingertip | Same |
| Alternate site testing (AST) | Palm, forearm, upper arm, calf, thigh | Same |
| Hematocrit range | 20-60% | Same |
| Operating temperature range | 50°F-104°F | Same |
| Altitude study | 10,744 feet | Same |
| Display | LCD | Same |
| Test time | 5 seconds | Same |
| Coding | No coding required | Same |
| Test start | Automatic | Same |
| Differences | | |
| --- | --- | --- |
| Item | Candidate Device IDEAL LIFE GlucoManager GMM 0002 k132180 | Predicate Device AG-608N Single BGMS k110017 |
| Memory | 575 events including time and date display | 500 events including time and date display |
| Power source | DC 3V (2*AAA) | DC 3V (CR2032) |
| Dimensions | 77.3mm x 60.2mm x 25mm | 87mm x 53mm x 9.9mm |
| PC connection/transmission function | Bluetooth | USB |
| Test strips | AGS-1112 Test strip | AGS-1000N Test strip |
# 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
IEC 61010-1: 2001: Safety requirements for electrical equipment for measurement, control and laboratory use Part 1: General requirements
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IEC 61010-2-101: 2002: Particular requirements for in vitro diagnostic (IVD) medical equipment
EN 61326-1:2006: Electrical equipment for measurement, control and laboratory use – EMC requirements part 1: General requirements
EN 61326-2-6 Electrical equipment for measurement, control and laboratory use – EMC requirements Part 2-6: Particular requirements-In vitro diagnostic (IVD) medical equipment AAMI / ANSI / ISO 14971:2007/(R) 2010 (Corrected 4 October 2007), Medical devices - Applications of risk management to medical devices.
## L. Test Principle:
IDEAL LIFE GlucoManager GMM 0002 Blood Glucose Monitoring System measures the amount of sugar (glucose) in whole blood. The glucose testing is based on the measurement of electrical current generated by the reaction of glucose with the reagent of the strip. The meter measures the current, calculates the blood glucose level, and displays the result. The strength of the current produced by the reaction depends on the amount of glucose in the blood sample.
## M. Performance Characteristics (if/when applicable):
All performance characteristics were conducted on the IDEAL LIFE GlucoManager, Model GMM0002 with the IDEAL LIFE test strips model AGS-1112.
### 1. Analytical performance:
#### a. Precision/Reproducibility:
Venous blood spiked with five different glucose concentrations (30-50, 51-110, 111-150, 151-250, and 251-400mg/dL) was tested on three lots of test strips on 10 meters. Ten replicates were tested per meter, test strip lot and glucose concentration for a total of 100 replicates. Results are summarized below:
**With-in day Precision:**
| Glucose level (mg/dL) | Mean (mg/dL) | SD (mg/dL) | CV (%) |
| --- | --- | --- | --- |
| 30-50 | 31.5 | 2.4 | 7.50 |
| 51-110 | 105.6 | 3.9 | 3.73 |
| 111-150 | 121.7 | 4.6 | 3.74 |
| 151-250 | 182.8 | 7.0 | 3.85 |
| 251-400 | 263 | 10.2 | 3.86 |
In addition to the study above, the sponsor also evaluated day-to-day precision using three control solutions with three concentrations of glucose (30-50, 96-144, 280-420mg/dL). Reproducibility was evaluated over a ten day period with three lots of test strips and 10 meters. Results are summarized below:
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Reproducibility:
| Control Solution | Mean (mg/dL) | SD (mg/dL) | CV (%) |
| --- | --- | --- | --- |
| Level 1
30-50mg/dL | 54.5 | 4.1 | 7.5 |
| Level 2
96-144mg/dL | 97 | 3.7 | 3.80 |
| Level 3
280-420mg/dL | 345.2 | 13.3 | 3.86 |
b. Linearity/assay reportable range:
The claimed measuring range for this device is 20-600 mg/dL. The sponsor performed linearity studies using venous whole blood samples with 11 different glucose concentration levels covering the full measuring range (20.5, 39.2, 99.4, 160.1, 224.5, 273.7, 348.6, 420.8, 505.3, 570.6, 599.6mg/dL). Measurements were taken 5 times for each level and the values were compared to YSI. Linear regression analysis is summarized below:
$$
\mathrm {Y} = 0. 9 9 4 8 \mathrm {x} + 2. 6 9 3 6; \mathrm {R} ^ {2} = 0. 9 9 8 4
$$
The results support the claimed measuring range of 20-600mg/dL.
c. Traceability, Stability, Expected values (controls, calibrators, or methods):
**Traceability:**
The IDEAL LIFE GlucoManager GMM0002 Blood Glucose Monitoring System is traceable to NIST reference standard reference material (SRM) 965b.
**Stability:**
Test strip stability was assessed with accelerated studies, in-use and on-going real time studies. For unopened vial stability, accelerated testing of the test strips was performed and real-time testing is ongoing to confirm the accelerated results. Testing support the claimed unopened vial storage of 18 months when stored at 39°F to 86°F (4°C to 30°C) with relative humidity 10-85% and a 90 day stability after opening when stored at 39°C to 86°F (4°C to 30°C) with relative humidity 10-85%.
The stability of the control solution was established in k110017. The claimed stability is 24 months when stored at 39°F-86° and 90 day stability after opening when stored at 39°F-86°F.
**Value assignment:**
The IDEAL LIFE Control Solution, Model: GCS 0104 (Level I, Level II, Level III) value assignment was established using ten GMM0002 glucose meters and a single lot of AGS-1112 blood glucose test strips. Each level of control solution was tested 100 times by the GMM0002 system. The control range for each control solution is listed on the test strip vial. The control ranges on the label are within ±20% of the
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mean value for each level. The user is directed to compare their control result with the range printed on the test strip vial.
# d. Detection limit:
The measuring range of the device is $20 - 600\mathrm{mg / dL}$ . This range was validated via linearity study. See section M.1.b.
# e. Analytical specificity:
The sponsor performed interference studies with spiked venous whole blood samples at two glucose concentrations (80mg/dL and 300mg/dL) that were prepared and divided into a test sample and control sample. The potential interferents (2 levels-therapeutic and high) were added to the sample and each sample was tested 5 times. The following table lists the concentrations of each substance at which no significant interference was detected.
| Potential Interferent | Concentration at which no significant interference is observed (mg/dL) |
| --- | --- |
| Acetaminophen | 5.0 |
| Ascorbic acid | 2.0 |
| Ibuprofen | 50 |
| L-Dopa | 0.45 |
| Methyl dopa | 0.75 |
| Dopamine | 0.03 |
| Salicylate | 60 |
| Tolbutamide | 24 |
| Bilirubin | 15 |
| Triglyceride | 2000 |
| Uric acid | 10 |
| Creatinine | 17 |
| Hemoglobin | 250 |
The sponsor also performed interference studies with spiked venous whole blood samples spiked at three glucose concentrations (85mg/dL, 120mg/dL and 350mg/dL). The potential interferents were added to the sample and each sample was tested 5 times. The following table lists the concentrations of each substance at which no significant interference was detected.
| Potential Interferent | Concentration at which no significant interference is observed (mg/dL) |
| --- | --- |
| Maltose | 350 |
| Xylose | 100 |
| Galactose | 15.1 |
The sponsor has the following limitations in their labeling: The following substances at levels greater than normal or therapeutic levels may cause significant interference resulting in an
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inaccurate result: ascorbic acid, uric acid, acetaminophen, dopamine, methyl dopa, L-dopa, Tolbutamide, Bilirubin and Hemoglobin.
f. Assay cut-off:
Not applicable
2. Comparison studies:
a. Method comparison with predicate device:
System Accuracy:
System accuracy was evaluated according to ISO 15197. The sponsor performed system accuracy evaluation comparing GMM0002 to YSI 2300. Testing was performed by two professionals on a total of 100 fresh capillary whole blood samples from the finger, palm, forearm, upper arm, calf and thigh, using 2 meters and 3 test strip lots over 10 days with glucose concentrations ranging from $45 - 539\mathrm{mg / dL}$ . After finger blood sample test finished, alternative site testing (AST) samples were obtained by the HCP. The AST sites included samples taken from the palm, forearm, upper arm, calf and thigh. The results for a singlet set of data relative to the reference method are summarized in the tables below:
Professional vs. YSI
| Sample site | Concentration (mg/dL) | Slope | y-intercept | R |
| --- | --- | --- | --- | --- |
| Finger | 46.8-537 | 1.001 | 1.68 | 0.9826 |
| Palm | 48.2-539.8 | 1.001 | 1.96 | 0.9823 |
| Forearm | 46.5-538.3 | 1.015 | 0.65 | 0.9830 |
| Upper Arm | 45.3-539.4 | 1.011 | 0.88 | 0.9901 |
| Calf | 49.3-539.7 | 1.005 | 1.86 | 0.9842 |
| Thigh | 48.1-536.3 | 1.017 | -0.03 | 0.9865 |
For glucose concentrations $< 75\mathrm{mg / dL}$
| Sample site | Within ±5mg/dL | Within ±10mg/dL | Within ±15mg/dL |
| --- | --- | --- | --- |
| Finger | 4/6 (66%) | 6/6 (100%) | 6/6 (100%) |
| Palm | 5/7 (71%) | 7/7 (100%) | 7/7 (100%) |
| Forearm | 4/7 (57%) | 7/7 (100%) | 7/7 (100%) |
| Upper arm | 5/7 (71%) | 7/7 (100%) | 7/7 (100%) |
| Calf | 4/7 (57%) | 7/7(100%) | 7/7 (100%) |
| Thigh | 6/7 (86%) | 7/7 (100%) | 7/7 (100%) |
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For glucose concentrations $\geq 75\,\mathrm{mg/dL}$
| Sample site | Within ±5% | Within ±10% | Within ±15% | Within ±20% |
| --- | --- | --- | --- | --- |
| Finger | 65/94
(69%) | 92/94
(98%) | 94/94
(100%) | 94/94
(100%) |
| Palm | 62/93
(67%) | 89/93
(96%) | 93/93
(100%) | 93/93
(100%) |
| Forearm | 70/93
(75%) | 92/93
(99%) | 93/93
(100%) | 93/93
(100%) |
| Upper Arm | 63/93
(68%) | 92/93
(99%) | 93/93
(100%) | 93/93
(100%) |
| Calf | 62/93
(67%) | 90/93
(97%) | 93/93
(100%) | 93/93
(100%) |
| Thigh | 71/93
(76%) | 92/93
(99%) | 93/93
(100%) | 93/93
(100%) |
b. Matrix comparison:
Not applicable.
3. Clinical studies:
a. Clinical Sensitivity:
Not applicable.
b. Clinical specificity:
Not applicable
c. Other clinical supportive data (when a. and b. are not applicable):
User Performance Study:
The lay user study was conducted following ISO 15197. To assess the performance of the GMM0002 in the hands of the intended users, the sponsor performed a study with 100 lay users. The study was performed at four sites. The subjects were provided the product instructions for use but not given any additional instructions. Each subject performed finger stick and alternative sites (palm, forearm, upper arm, calf, and thigh) testing on their own. After the users self-test, the HCP measured the user's fingerstick and AST capillary blood on the GMM0002 system and a second sample was measured on the YSI 2300. The range of glucose values for the samples measured by the reference method was $55 - 339\,\mathrm{mg/dL}$. Results are summarized below:
Lay user vs. YSI 2300
| Sample site | Slope | Y-intercept | R |
| --- | --- | --- | --- |
| Finger | 1.018 | -3.60 | 0.9879 |
| Palm | 1.023 | -4.90 | 0.9875 |
| Forearm | 1.024 | -4.91 | 0.9858 |
| Upper Arm | 1.029 | -5.09 | 0.9838 |
| Calf | 1.018 | -3.09 | 0.9846 |
| Thigh | 1.026 | -3.42 | 0.9852 |
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For glucose concentrations $< 75\mathrm{mg / dL}$
| Sample site | Within ±5mg/dL | Within ±10mg/dL | Within ±15mg/dL |
| --- | --- | --- | --- |
| Finger | 6/8 (75%) | 8/8 (100%) | 8/8 (100%) |
| Palm | 1/9 (11.1%) | 7/9 (77.8%) | 9/9 (100%) |
| Forearm | 4/12 (33.3%) | 8/12 (66.7%) | 12/12 (100%) |
| Upper Arm | 4/11 (36.4%) | 8/11 (72/7%) | 11/11 (100%) |
| Calf | 4/8 (50%) | 5/8 (62.5%) | 8/8 (100%) |
| Thigh | 4/10 (40%) | 6/10 (60%) | 10/10 (100%) |
For glucose concentrations $\geq 75\mathrm{mg / dL}$
| Sample site | Within ±5% | Within ±10% | Within ±15% | Within ±20% |
| --- | --- | --- | --- | --- |
| Finger | 44/92 (47.8%) | 69/92 (75%) | 92/92 (100%) | 92/92 (100%) |
| Palm | 45/91 (49.5%) | 72/91 (79.1%) | 85/91 (93.4%) | 91/91 (100%) |
| Forearm | 42/88 (47.7%) | 65/88 (73.9%) | 82/88 (93.2%) | 88/88 (100%) |
| Upper arm | 33/89 (37.1%) | 64/89 (71.9%) | 82/89 (92.1%) | 87/89 (97.7%) |
| Calf | 40/92 (43.5%) | 68/92 (73.9%) | 82/92 (89.1%) | 89/92 (96.7%) |
| Thigh | 39/90 (43.3%) | 67/90 (74.4%) | 83/90 (92.2%) | 88/90 (97.8%) |
4. Clinical cut-off: Not applicable
5. Expected values/Reference range: Expected blood glucose levels for people without diabetes:
| Time of Day | People without Diabetes |
| --- | --- |
| Before meal (fasting) | <100mg/dL |
| Two hours after meals | <140mg/dL |
Source: American Diabetes Association. Standards of Medical Care in Diabetes-2014. Diabetes Care 2014, 37 (suppl. 1) S14-S80.
# N. Instrument Name:
IDEAL LIFE GlucoManager, Model GMM0002
# O. System Descriptions:
1. Modes of Operation: Each test strip is single use and must be replaced with a new strip for additional readings.
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Does the applicant’s device contain the ability to transmit data to a computer, webserver, or mobile device?
☑ Yes or ☐ No
Does the applicant’s device transmit data to a computer, webserver, or mobile device using wireless transmission?
☑ Yes or ☐ No
2. Software:
FDA has reviewed applicant’s Hazard Analysis and software development processes for this line of product types:
☑ Yes ☐ 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 device is intended to be used with capillary whole blood from the finger, palm, forearm, upper arm, calf and thigh. The whole blood sample is applied directly to the test strip by capillary action therefore there are no special handling or storage issues.
5. Calibration:
This is non-coding device therefore no calibration is required by the user.
6. Quality Control:
IDEAL LIFE GlucoManager uses the IDEAL LIFE Control Solutions. The control solutions come in three levels. The sponsor states that level II will be provided in the system kit.
P. Other Supportive Instrument Performance Characteristics Data Not Covered In The “Performance Characteristics” Section above:
1. Altitude Study
An altitude study was performed in three altitude simulation chambers set at sea level, 3,280ft (1000m), 6,561ft (2000m), and 10,744ft (3275m) with 20 venous whole blood samples with glucose concentrations ranging from 56.5 to 438mg/dL. Each sample was tested with four meters and one test strip lot and the results were compared to YSI. The results demonstrate acceptable bias to the reference to support the claims in the labeling that altitudes up to 10,744 feet have no significant effect on blood glucose measurements from the IDEAL LIFE GlucoManager GMM0002 Monitoring System.
2. Hematocrit Study
The effect of different hematocrit levels were evaluated using venous whole blood samples with hematocrit levels of 20-60% (20, 25, 30, 35, 40, 45, 50, 55, 60%) spiked with five glucose concentrations (22.6, 76.5, 152, 256, 354, 453, 596mg/dL) distributed across the measuring range. The samples were tested with three meters and one lot of
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test strips. The results were compared to YSI and the normal 40% hematocrit. The percent bias of the IDEAL LIFE GlucoManager GMM0002 meter results relative to YSI demonstrated adequate performance to support the claimed hematocrit range of 20-60%.
## 3. Sample volume
A minimum sample volume study was performed using seven venous whole blood samples with glucose concentrations ranging from 46.5mg/dL to 455mg/dL to evaluate effect of different sample volumes (0.5uL, 0.6uL, 0.7uL, 1.0uL, 2.0uL) on the performance of the device. Results at each sample volume were compared to the corresponding YSI values. Results from these studies support the claimed minimum sample volume of 0.7uL.
## 4. Infection Control Studies
The IDEAL Life GlucoManager GMM0002 is intended for single patient use. Disinfection efficacy was established in k110017. Robustness studies were performed by the sponsor demonstrating that there was no change in performance or external materials of the meter and landing device after 11,000 pre-cleanings and 11,000 disinfection steps with the Cavi WipesTM (EPA Registration # 46781-8). The robustness studies were designed to simulate 5 years of single patient use. Labeling was reviewed for adequate instructions for the validated cleaning and disinfection procedures.
## 5. Temperature and Humidity Studies
Temperature and humidity operating conditions were evaluated using three GMM0002 meters and one lot of test strips with fresh venous whole blood samples at three glucose levels (low, normal, high) for temperatures ranging from 50 °F to 104°F (10°C to 40°C) and relative humidity from 25% to 80% including extreme conditions of temperature and humidity, e.g. lowest humidity with lowest and highest temperature and highest humidity with lowest and highest temperature. Protocol and acceptance criteria were provided and found to be acceptable. The results supported the sponsor's claimed operating temperature from 50°F to 104°F and relative humidity range from 25%-80%.
## 6. EMC testing
The sponsor provided documentation certifying that acceptable electromagnetic testing (EMC) had been performed.
## 7. Readability Assessment
A SMOG reading level assessment was conducted of the GlucoManager GMM0002 instructions for use and the quick installation guide was assessed, giving a readability grade level of 7.5 and 7.8 respectively. Test strip and Control solution instruction for use were assessed with a readability level of 7.7 and 7.2 respectively.
## 8. Data Transmission
IDEAL LIFE GlucoManager GMM0002 Blood Glucose monitoring system has a Bluetooth function. The sponsor performed the following test scripts:
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Test scripts for Gateway Application and GlucoManager GMM0002
This test script is to ensure that the IDEAL LIFE GlucoManager GMM0002 will be able to correctly send readings via the IDEAL Life Gateway Application to IDEAL LIFE Cloud. The acceptance criteria are that readings shall be saved on the Ideal Life DB with the correct values. Five tests were performed with the IDEAL LIFE GlucoManager GMM0002 via IDEAL LIFE Gateway Application. All executed test cases have the status of PASS.
No Data Lost between Gateway Application and Manager Device
This test script is to ensure that IDEAL LIFE Managers, including the GlucoManager, will be able to store reading data in their memory and there will be no data loss if Gateway Application fails to transmit readings to IDEAL LIFE Cloud. One test case for each Manager type was performed. All executed test cases have the status of PASS.
9. Software: The sponsor provided the results of the device software testing including a traceability analysis, validation and verification testing which were reviewed and found to be adequate.
10. Human Factors testing:
A usability test was conducted with twenty-two (22) users of varied computer skill between 18-80 years old. Each user was provided with an IDEAL LIFE GlucoManager GMM0002 and given instructions to upload the Gateway application according to the instructions for use, to measure glucose levels with control solutions and to upload data to the website. Users were asked to complete a survey about the ease of use of the device and software. The positive response to this user test indicates that there are no areas of concern about the usability of the device by the intended users.
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.