GAL-1C BLOOD GLUCOSE MONITORING SYSTEM, GAL-1C TEST STRIPS
Applicant
Apex BioTechnology Corp.
Product Code
NBW · Clinical Chemistry
Decision Date
Sep 15, 2011
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 862.1345
Device Class
Class 2
Attributes
Pediatric
Indications for Use
The GAL-1C Blood Glucose Monitoring System is intended for the quantitative measurement of glucose in fresh capillary whole blood samples drawn from the fingertips, forearm, or palm. Alternative site testing should be performed only during steady-state (when glucose is not changing rapidly). Testing is done outside the body (in vitro diagnostic use). It is indicated for lay use by people with diabetes, as an aid to monitoring levels in Diabetes Mellitus and should only be used by a single patient and it should not be shared. It is not indicated for the diagnosis or screening of diabetes or for neonatal use. The GAL-1C Blood Glucose Test Strips are to be used with the GAL-1C Blood Glucose Meter to quantitatively measure glucose in capillary whole blood taken from fingertips, palm, or forearm. Alternative site testing should be performed only during steady-state (when glucose is not changing rapidly). They are not indicated for the diagnosis or screening of diabetes or for neonatal use. The purpose of the Contrex Plus III Glucose Control Solutions is to validate the performance of the blood glucose monitoring system using a testing solution with a known range of glucose. A control test that falls within the acceptable range indicates the user's technique is appropriate and the test strip and meter are functioning properly.
Device Story
GAL-1C system measures glucose in capillary whole blood via test strips inserted into a handheld meter. User applies blood sample to strip; meter performs electrochemical analysis to quantify glucose concentration. Designed for home use by patients with diabetes; single-patient use only. Includes autocoding feature for strip calibration. Healthcare providers use results to monitor diabetes management. Benefits include convenient, quantitative glucose monitoring for glycemic control. System includes Contrex Plus III control solution to verify meter/strip performance.
Clinical Evidence
Clinical user performance study (N=145) compared patient-obtained capillary blood glucose results (fingertip, palm, forearm) against YSI 2300 reference method. Accuracy met ISO 15197 criteria. Additional bench testing confirmed linearity (16-602 mg/dL), precision (CV 0.7-5.8%), hematocrit interference (30-55%), altitude (up to 10,000 ft), and temperature/humidity stability.
Technological Characteristics
Electrochemical glucose monitoring system. Features: autocoding, 3-button interface, reduced-volume test strip chamber. Software: modified to support autocoding. Disinfection: validated for durability and Hepatitis B inactivation. Connectivity: not specified.
Indications for Use
Indicated for lay use by people with diabetes to monitor blood glucose levels in Diabetes Mellitus. Samples: fresh capillary whole blood from fingertips, forearm, or palm. Contraindications: not for diagnosis or screening of diabetes; not for neonatal use.
Regulatory Classification
Identification
A glucose test system is a device intended to measure glucose quantitatively in blood and other body fluids. Glucose measurements are used in the diagnosis and treatment of carbohydrate metabolism disorders including diabetes mellitus, neonatal hypoglycemia, and idiopathic hypoglycemia, and of pancreatic islet cell carcinoma.
Special Controls
*Classification.* Class II (special controls). The device, when it is solely intended for use as a drink to test glucose tolerance, is exempt from the premarket notification procedures in subpart E of part 807 of this chapter subject to the limitations in § 862.9.
Predicate Devices
GlucoSure STAR Blood Glucose Monitoring System (k073648)
Contrex Plus Glucose Control Solution (100747)
Submission Summary (Full Text)
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1
510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION
DECISION SUMMARY
ASSAY AND INSTRUMENT COMBINATION TEMPLATE
A. 510(k) Number:
k102816
B. Purpose for Submission:
New device
C. Measurand:
Whole blood glucose
D. Type of Test:
Quantitative, amperometric, glucose oxidase
E. Applicant:
Apex Biotechnology Corporation
F. Proprietary and Established Names:
GAL-1C Blood Glucose Monitoring System
GAL-1C Glucose Test Strips
Contrex Plus III Glucose Control Solutions
G. Regulatory Information:
1. Regulation section:
21 CFR 862.1345 Glucose Test System
21 CFR 862.1660 Quality Control Material
2. Classification:
Class II
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Class I, reserved
3. Product code:
NBW - Blood glucose test system, over the counter
CGA - Glucose oxidase, glucose test system
JJX - Single (specified) analyte controls
4. Panel:
75-Clinical Chemistry
H. Intended Use:
1. Intended use(s):
Refer to indications for use below.
2. Indication(s) for use:
The GAL-1C Blood Glucose Monitoring System is intended for the quantitative measurement of glucose in fresh capillary whole blood samples drawn from the fingertips, forearm, or palm. Alternative site testing should be performed only during steady-state (when glucose is not changing rapidly). Testing is done outside the body (in vitro diagnostic use). It is indicated for lay use by people with diabetes, as an aid to monitoring levels in Diabetes Mellitus and should only be used by a single patient and it should not be shared. It is not indicated for the diagnosis or screening of diabetes or for neonatal use.
The GAL-1C Blood Glucose Test Strips are to be used with the GAL-1C Blood Glucose Meter to quantitatively measure glucose in capillary whole blood taken from fingertips, palm, or forearm. Alternative site testing should be performed only during steady-state (when glucose is not changing rapidly). They are not indicated for the diagnosis or screening of diabetes or for neonatal use.
The purpose of the Contrex Plus III Glucose Control Solutions is to validate the performance of the blood glucose monitoring system using a testing solution with a known range of glucose. A control test that falls within the acceptable range indicates the user's technique is appropriate and the test strip and meter are functioning properly.
3. Special conditions for use statement(s):
- Alternative site testing (palm and forearm) can be used only during steady-state blood glucose conditions.
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- AST should not be used to calibrate CGMs or used in insulin dosing calculations
- Not for use on critically ill patients, patients in shock, dehydrated patients, hypotensive patients or hyperosmolar patients.
4. Special instrument requirements:
Apex Biotechnology Corporation, GAL-1C Blood Glucose Meter
I. Device Description:
The GAL-1C blood glucose meter and GAL-1C test strips are used for testing of blood glucose by self-testers at home with Contrex Plus III Glucose Control Solutions for quality control testing. The GAL-1C Blood Glucose Monitoring System consists of a blood glucose meter, blood glucose test strips, lancing device, user guide, and logbook. Three levels of glucose control solutions are sold separately and can be obtained using the contact phone number provided in the user guide. The GAL-1C allows the palm and forearm to be used as an alternative testing site.
J. Substantial Equivalence Information:
1. Predicate device name(s):
GlucoSure STAR Blood Glucose Monitoring System
Contrex Plus Glucose Control Solution
2. Predicate 510(k) number(s):
k073648
k100747
3. Comparison with predicate:
| Comparison Table: Blood Glucose Monitoring System | | |
| --- | --- | --- |
| Item | Device (k102816) | Predicate (k073648) |
| Indications for Use | For the quantitative measurement of glucose in fresh capillary whole blood. | same |
| Intended Users | Lay users | Lay users and healthcare professionals |
| Testing Site | fingertips
AST: palm, forearm, | same |
| Detection method | Amperometry | same |
| Enzyme | Glucose Oxidase (Aspergillus niger) | same |
| Plasma-calibrated | Yes | same |
| Measurement range | 20-600 mg/dL | same |
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| Comparison Table: Blood Glucose Monitoring System | | |
| --- | --- | --- |
| Item | Device (k102816) | Predicate (k073648) |
| Sample volume | 0.8 uL | 1.0 uL |
| Reaction time | 6 seconds | same |
| Meter dimensions | 56(L) x 63(W) x 13(H) | 90(L) x 53(W) x 20(H) |
| Meter weight | 39g | 80g |
| Hematocrit | 30-55% | 30-55% |
| Operating conditions | 10-40°C, <85% R.H. | same |
| Coding | Autocoding | Manual coding required |
| Memory feature | 300 measurements | same |
| Day average | 7-, 14-, 30-days | same |
| Auto Shut Off | 1.5 minutes | 2 minutes |
| Battery Type | 2 Alkaline AAA | 1 CR2032 3V Lithium |
| Test Strips Stability | Unopened
Store at 4-30°C until expiration date
Opened
4-30°C for 3 months | same |
| Comparison Table: Control Solutions | | |
| --- | --- | --- |
| Item | Device (k102816) | Predicate (k100747) |
| Intended Use | Validate the performance of the Blood Glucose Monitoring System using a testing solution with a known range of glucose | same |
| Number of Levels | 3 | 2 |
| Color Dye | Red | none |
| Fill Volume | 3.0 mL | 3.6 mL |
| Matrix | Aqueous solution containing D-glucose | same |
| Control Stability | Store at 15-30°C until expiration date | Store at room temperature until expiration date |
# K. Standard/Guidance Document Referenced (if applicable):
1. ISO 15197. In vitro diagnostic test systems. Requirements for blood-glucose monitoring systems for self-testing in managing diabetes mellitus.
2. CLSI EP6-A. Evaluation of the Linearity of Quantitative Measurement Procedures; Approved Guideline.
3. IEC 60601-1-2:2001. Medical electrical equipment, Part 1-2. General requirements for basic safety and essential performance. Electromagnetic Compatibility.
4. IEC 61000-3-2:2005. Electromagnetic Compatibility, Part 3-2. Limits-Limits for harmonic current emissions.
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5. EN 61000-3-3:2008. Electromagnetic Compatibility, Part 3-3. Limits-Limitation of voltage changes, voltage fluctuations and flicker in public low-voltage supply systems, for equipment with rated current $\leq 16\mathrm{A}$ per phase and not subject to conditional connection.
6. IEC 61326-1:2006. Electrical equipment for measurement, control, and laboratory use. EMC Requirements. General requirements.
7. IEC 61326-2-6:2005. Electrical equipment for measurement, control, and laboratory use. EMC Requirements. General requirements, Part 2-6. Particular requirements-In Vitro diagnostic medical equipment.
8. EN 61010-1:2010. Safety requirements for electrical equipment for measurement, control, and laboratory use, Part 1. General requirements.
9. IEC 61010-2-101:2002. Safety requirements for electrical equipment for measurement, control, and laboratory use, Part 2-101. Particular requirements for in vitro diagnostic (IVD) medical equipment.
10. IEC 60601-1. Medical electrical equipment, Part 1. General requirements for safety.
11. EN 55011:2007. Industrial, scientific and medical (ISM) radio-frequency equipment. Electromagnetic disturbance characteristics. Limits and method of measurement.
# L. Test Principle:
The meter and test strips use amperometric biosensor technology. The test strips contain glucose oxidase which reacts to glucose present in blood, releasing electrons. The meter applies a small electrical current to the test strip and measures changes in the current caused by the reaction of glucose in the blood sample to the enzyme in the test strip. The meter converts the measured current into a blood glucose reading that is displayed on the meter's liquid crystal display. Test strips are plasma calibrated.
# M. Performance Characteristics (if/when applicable):
# 1. Analytical performance:
# a. Precision/Reproducibility:
Within-run, between run, and overall precision for the device were determined for a duration of 20 days using venous whole blood samples (HCT $43 \pm 2\%$ ) spiked with glucose or allowed to undergo glycolysis to achieve a glucose range of 50 to 440 mg/dL. Testing was completed using ten GAL-1C meters and three different test strips lots. In addition, precision studies included two levels of control solution. The mean, standard deviation (SD), and coefficients of variation (CV) were determined for each sample as summarized below:
| Precision Data Summary: Venous Blood Samples | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Strip Lot | Mean (mg/dL) | Within-Run | | Between Run | | Overall | |
| | | SD | CV (%) | SD | CV (%) | SD | CV (%) |
| 1 | 50 | 2.9 | 5.8 | 0.9 | 1.8 | 3.0 | 6.0 |
| 2 | 50 | 2.9 | 5.8 | 0.9 | 1.8 | 3.0 | 6.0 |
| 3 | 50 | 2.9 | 5.8 | 0.9 | 1.8 | 3.0 | 6.0 |
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| Precision Data Summary: Control Solutions | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| Strip Lot | Mean (mg/dL) | Within-Run | | Between Run | | Overall | |
| | | SD | CV (%) | SD | CV (%) | SD | CV (%) |
| 1 | 110 | 2.4 | 2.2 | 1.6 | 2.2 | 2.9 | 2.2 |
| | 212 | 6.1 | 2.9 | 1.6 | 0.7 | 5.2 | 2.5 |
| 2 | 111 | 3.6 | 3.2 | 1.5 | 2.2 | 3.6 | 2.2 |
| | 211 | 5.3 | 2.6 | 2.2 | 1.0 | 5.5 | 2.6 |
| 3 | 110 | 3.8 | 3.4 | 1.1 | 2.2 | 3.3 | 2.2 |
| | 208 | 9.3 | 4.4 | 1.7 | 0.8 | 5.2 | 2.5 |
# b. Linearity/assay reportable range:
Linearity for the device was evaluated using venous blood samples at eight different glucose concentrations ranging from 16 to $602\mathrm{mg / dL}$ (HCT $43\pm 2\%$ ). Forty measurements for each glucose level $(N = 320)$ were conducted on one meter and three strip lots. Regression analysis showed a linear relationship between the GAL-1C glucose monitoring system and glucose concentrations determined with the YSI-2300 reference method. Linear regression analysis data for each test strip lot is shown below:
| Strip Lot | Slope (95% CI) | Y-intercept (95% CI) | R2value |
| --- | --- | --- | --- |
| 1 | 1.014 (1.010 to 1.019) | -2.372 (-3.714 to -1.031) | 0.9984 |
| 2 | 1.016 (1.010 to 1.022) | -2.115 (-3.787 to -0.445) | 0.9975 |
| 3 | 1.016 (1.012 to 1.020) | -2.046 (-3.210 to -0.883) | 0.9988 |
The reportable range of the GAL-1C glucose monitoring system was confirmed to be 20 to $600\mathrm{mg / dL}$ . If a sample is less than $20\mathrm{mg / dL}$ , the result is flagged by the meter as LO. If a sample result exceeds $600\mathrm{mg / dL}$ , the result is flagged by the meter as HI.
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c. Traceability, Stability, Expected values (controls, calibrators, or methods):
Qualification of glucose controls was performed by repeat analyses using three lots of control solutions at each level on the YSI-2300 reference method after calibration using NERL standards traceable to NIST. Pre-determined acceptance criteria for glucose recovery must be met for each control lot. Expected values and acceptable ranges for the controls are determined using ten GAL-1C glucose meters and one lot of GAL-1C test strips, eight strips per meter. Glucose control value ranges are lot dependent and are listed in the test strip vial label for each lot and level.
Stability testing protocols and acceptance criteria for the glucose control solutions were reviewed and found to be acceptable. The manufacturer claims a shelf life stability of 18 months and an open-vial stability of 3 months at the recommended storage temperatures of 15°C to 30°C.
d. Detection limit:
The measuring range of the GAL-1C glucose monitoring system is 20 to 600 mg/dL. This range was verified by the linearity study (see section M.1.b of this decision summary).
e. Analytical specificity:
Interferences Study: To evaluate interference in glucose measurements by the device, a number of endogenous/exogenous substances at two or more levels (normal/therapeutic and high) were added to whole blood samples (HCT 43±2%) containing three different glucose levels (70-90, 110-130, and 300-330 mg/dL). Glucose measurements obtained from samples containing each potential interfering substance were evaluated and compared against measurements with a control group using the GAL-1C glucose monitoring system. Test and control samples were tested using ten GAL-1C test strips on ten GAL-1C glucose meters. The table below shows the levels with no interference (< 10%) when testing for glucose with the GAL-1C glucose monitoring system:
| Substance | No Interference at Listed Level |
| --- | --- |
| Endogenous Substance | |
| Hemoglobin | 200 mg/dL |
| Creatinine | 5.0 mg/dL |
| Uric Acid | 15 mg/dL |
| Cholesterol | 400 mg/dL |
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| Bilirubin-unconjugated | 15 mg/dL |
| --- | --- |
| Bilirubin-conjugated | 25 mg/dL |
| Triglycerides | 2000 mg/dL |
| Exogenous Substance | |
| Acetaminophen | 20 mg/dL |
| L-Dopa | 1.5 mg/dL |
| Tolbutamide | 64 mg/dL |
| Dopamine | 0.1 mg/dL |
| Ibuprofen | 40 mg/dL |
| Salicylic Acid | 65 mg/dL |
| Methyl-Dopa | 1.5 mg/dL |
| Tetracycline | 1.5 mg/dL |
| Ephedrine | 0.05 mg/dL |
| Mannitol | 30 mg/dL |
| Mannose | 4.0 mg/dL |
| Sorbitol | 0.2 mg/dL |
| Tolazamide | 60 mg/dL |
| Ascorbic Acid | 5.0 mg/dL |
| Maltose | 50 mg/dL |
| Lactose | 25 mg/dL |
| Matotriose | 240 mg/dL |
| Maltotetraose | 120 mg/dL |
| Xylitol | 0.1 mg/dL |
| Xylose | 25 mg/dL |
| Fructose | 15 mg/dL |
| Galactose | 15 mg/dL |
The sponsor included the following limitation statements in the label:
- Triglyceride levels up to 2000 mg/dL have no significant effect on test results. Levels above 2000 mg/dL may give falsely low test results (normal range: 30-300 mg/dL).
- L-dopa levels above 1.5 mg/dL may cause falsely high test results. People taking this drug should consult their medical professional if they are taking high doses of L-dopa.
- Ibuprofen levels above 40 mg/dL may give falsely high test results (therapeutic range: 1-7 mg/dL).
- Tolazamide levels above 60 mg/dL may give falsely low test results (therapeutic level: 23 mg/dL).
- Ascorbic Acid levels above 5 mg/dL may give falsely high test results (therapeutic range: 0.4-2 mg/dL).
- Fructose levels above 15 mg/dL may give falsely high test results (endogenous range: 1-6 mg/dL).
- Uric Acid levels above 15 mg/dL may give falsely high test results (normal range: 2.5-8 mg/dL).
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- Cholesterol levels above 400 mg/dL may give falsely high test results (reference range: 114-201 mg/dL).
- Unconjugated bilirubin levels above 15 mg/dL and conjugated bilirubin levels above 25 mg/dL may give falsely high test results (normal ranges: unconjugated bilirubin: 0.3-1.2 mg/dL; conjugated bilirubin: 0-0.3 mg/dL).
- Icodextrin and its metabolites (maltose, maltotriose, and maltotetraose) do not significantly affect test results.
- Methyldopa will not affect test results in expected blood concentrations.
f. Assay cut-off:
Not applicable
2. Comparison studies:
a. Method comparison with predicate device:
Comparison studies were performed using the YSI 2300 analyzer as the reference method according to the ISO 15197 standard.
System Accuracy: To demonstrate system accuracy, glucose measurements with 152 fresh capillary blood samples were made by health care professionals. A total of 7 samples were adjusted to achieve low glucose concentrations below 50 mg/dL to cover the glucose range of 34-519 mg/dL. Measurements obtained with the GAL-1C glucose monitoring system were compared to those obtained with the YSI 2300 reference method. The study was performed using eight GAL-1C glucose meter and three lots of GAL-1C test strips. The accuracy data is summarized in tables below.
| Accuracy Study Regression Statistics | |
| --- | --- |
| Number of samples (N) | 152 |
| Range (mg/dL) | 34-519 mg/dL |
| Slope | 0.992 |
| Intercept | -0.65 |
| R square | 0.985 |
| Accuracy Study Results | | | | |
| --- | --- | --- | --- | --- |
| Glucose < 75 mg/dL | | | | |
| Within ± 5 mg/dL | | Within ±10 mg/dL | | Within ± 15 mg/dL |
| 19/28 (68%) | | 25/28 (89%) | | 28/28 (100%) |
| Glucose ≥ 75 mg/dL | | | | |
| Within ± 5% | Within ±10% | | Within ± 15% | Within ± 20% |
| 69/124 (56%) | 112/124 (90%) | | 123/124 (99%) | 124/124 (100%) |
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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 Evaluation: In the user performance study, blood glucose measurements of 145 subjects were evaluated using samples from the fingertips as well as from the claimed alternative testing sites: palm and forearm. Subjects tested their own capillary whole blood samples from the finger, palm, or forearm using the GAL-1C glucose monitoring system following the instructions for use that were provided. Healthcare professionals then tested these samples using the YSI 2300 reference method. The accuracy data is summarized in tables below.
| User Performance Study Regression Statistics | | | |
| --- | --- | --- | --- |
| | User vs. YSI | | |
| Testing Site | Fingertip | Palm | Forearm |
| Number of samples (N) | 145 | 145 | 145 |
| Range (mg/dL) | 60-519 mg/dL | 60-519 mg/dL | 60-519 mg/dL |
| Slope | 0.983 | 1.001 | 0.999 |
| Intercept | -0.525 | -2.942 | -2.7507 |
| R square | 0.983 | 0.982 | 0.982 |
| User Performance Study Results | | | | | |
| --- | --- | --- | --- | --- | --- |
| Glucose < 75 mg/dL | | | | | |
| User vs. YSI | Within ± 5 mg/dL | | Within ±10 mg/dL | | Within ± 15 mg/dL |
| Fingertip | 10/21 (48%) | | 18/21 (86%) | | 21/21 (100%) |
| Palm | 9/21 (43%) | | 19/21 (91%) | | 21/21 (100%) |
| Forearm | 12/21 (57%) | | 19/21 (91%) | | 21/21 (100%) |
| | | | | | |
| Glucose ≥ 75 mg/dL | | | | | |
| | Within ± 5 % | Within ±10 % | | Within ± 15 % | Within ± 20% |
| Fingertip | 10/21 (48%) | 18/21 (86%) | | 21/21 (100%) | |
| Palm | 9/21 (43%) | 19/21 (91%) | | 21/21 (100%) | |
| Forearm | 12/21 (57%) | 19/21 (91%) | | 21/21 (100%) | |
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| Fingertip | 62/124 (50%) | 106/124 (86%) | 122/124 (98%) | 124/124 (100%) |
| --- | --- | --- | --- | --- |
| Palm | 58/124(47%) | 103/124 (83%) | 120/124 (97%) | 124/124 (100%) |
| Forearm | 56/124 (45%) | 102/124 (82%) | 119/124 (96%) | 123/124 (99%) |
4. Clinical cut-off:
Not applicable
5. Expected values/Reference range:
Expected blood glucose values for nondiabetic adults are as follows:
Before meals 70-100 mg/dL
After meals 70-140 mg/dL
Reference: American Diabetes Association Position Statement: Standards of Medical Care in Diabetes-2010. Diabetes Care 2010; 33 (Suppl. 1): S11-S61.
N. Instrument Name:
Apex Biotechnology Corporation, GAL-1C Blood Glucose Monitoring System.
O. System Descriptions:
1. Modes of Operation:
Each test strip is single use and must be replaced with a new strip for additional readings.
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 ☑ or No ☐
3. Specimen Identification:
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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, palm, and forearm which can be applied directly to the test strip.
5. Calibration:
This system has an autocoding system; coding of the meter by the user is not necessary. No further calibration is required.
6. Quality Control:
The sponsor has three levels of controls available for use with this meter. These control solutions must be purchased separately using the contact information provided in the user guide. When a test strip is inserted into the meter, each control can be measured by following the instructions for "Control Solution Testing" provided in the user guide for the meter. An acceptable range for each control level is printed on the test strip vial label. The user is instructed to contact Customer Service if the control results fall outside these ranges.
P. Other Supportive Instrument Performance Characteristics Data Not Covered In The "Performance Characteristics" Section above:
1. A study was performed to assess the ease of use of the labeling by recruiting 50 lay users (aged approximately 20-70 yrs old) who were provided with the test kit containing labeling for the US market. Participants varied in age and education. The number of male participants was 33 (66%) and females, 17 (34%). 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. Responses to all questions had average ratings above the "easy" score.
2. Flesch-Kincaid readability assessment was conducted and the results showed that the labeling (User Guide, test strip package insert and control solution package insert) were written at the 8th grade level.
3. Customer service is available between 8:00 am and 5:00 pm-Central Standard Time Monday through Friday. Users are instructed to contact their healthcare providers if out of Central Time. The toll free US phone number is 1-877-979-5454 for customer support.
4. Hematocrit Study: The blood hematocrit (HCT) effect on the performance of the GAL-1C glucose monitoring system was evaluated using five different glucose concentrations ranging from 40-550 mg/dL. Venous blood samples were tested on ten test strips of each
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of three different lots. Glucose concentrations at each HCT level (30%, 33%, 35%, 43%, 50%, and 55%) were compared to results obtained with the 43% HCT sample tested with the GAL-1C system and with the YSI reference method. Review of the manufacturer's data confirms acceptable performance of the GAL-1C blood glucose monitoring system at HCT 30-55%.
5. **Altitude Study**: The effect of altitude was evaluated by testing venous blood samples at five different glucose concentrations ranging from 50 to 440 mg/dL on the GAL-1C glucose monitoring system. Ten GAL-1C glucose meters and one lot of GAL-1C tests strips were tested along with to levels of control solutions at sea level and at 10,335 feet above sea level. The YSI 2300 was used as the reference method. Data demonstrates acceptable performance of the device up to the claimed altitude of 10,000 feet.
6. **Temperature and Humidity Studies**: The effect of temperature and humidity on the performance of the GAL-1C glucose monitoring system was evaluated using venous whole blood samples at four different levels (50, 120, 200, and 400 mg/dL). Twenty replicates were tested at each glucose level with ten GAL-1C glucose meters using three lots of strips. Glucose concentrations at the following temperature and humidity conditions were evaluated and compared with results obtained with the YSI-2300 reference method.
Temperature: 10, 14, 20, 24, 30, 40 ± 2°C at 45-55% RH.
Relative Humidity: 20% ± 5% at 10°C and 40°C
50% ± 5% at 24°C
85% ± 5% at 10°C and 40°C
90% ± 5% at 10°C and 40°C
The study results met pre-determined acceptance criteria and support the temperature and humidity claims of 10-40°C and 20-85% RH.
7. A sample volume study was performed to verify the test strip sample volume requirement and the test strip fill error requirement established for the GAL-1C blood glucose monitoring system. Three lots of test strips were tested using venous blood samples, each adjusted to a glucose concentration of 50-70, 100-140, and 310-350 mg/dL. Blood at each concentration was applied to strips at nine target sample volumes of 0.2, 0.3, 0.6, 0.7, 0.8, 0.8, 1.0, 1.1, and 1.5 μL. Protocols and acceptance criteria were provided and found to be acceptable. The sponsor concluded that sample volume of ≥0.8 μL produced accurate results and samples <0.8 μL give an error code.
8. The device is intended for single-patient use only. Dispatch towels with EPA registration # 56392-8 were validated demonstrating complete inactivation of live virus for use with the meter and lancing device. The sponsor also demonstrated that there was no change in performance or in the external materials of the meter and lancing device after 1825 cleaning and disinfection cycles designed to simulate 5 years of device use.
9. EMC testing was evaluated and certified by QuieTek Corporation and a test report was issued to Apex Biotechnology Corp. on September 23, 2010.
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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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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.