GOODLIFE CS-200 (SINGLE PATIENT USE), CS-200 PROFESSIONAL (MULTIPLE PATIENT USE) BLOOD GLUCOSE MONITORING SYSTEMS
K121433 · Hmd Biomedical, Inc. · LFR · Feb 14, 2013 · Clinical Chemistry
Device Facts
Record ID
K121433
Device Name
GOODLIFE CS-200 (SINGLE PATIENT USE), CS-200 PROFESSIONAL (MULTIPLE PATIENT USE) BLOOD GLUCOSE MONITORING SYSTEMS
Applicant
Hmd Biomedical, Inc.
Product Code
LFR · Clinical Chemistry
Decision Date
Feb 14, 2013
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 862.1345
Device Class
Class 2
Attributes
Pediatric
Indications for Use
The GoodLife CS-200 Blood Glucose Monitoring System is intended to be used for the quantitative measurement of glucose (sugar) in fresh capillary whole blood samples drawn from the fingertips only. The GoodLife CS-200 Blood Glucose Monitoring System is intended to be used by a single person and should not be shared. The GoodLife CS-200 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 GoodLife CS-200 Blood Glucose Monitoring System should not be used for the diagnosis of or screening of diabetes or for neonatal use. The GoodLife KP Blood Glucose Test Strips are for use with the GoodLife CS-200 Blood Glucose Meter to quantitatively measure glucose (sugar) in fresh capillary whole blood samples drawn from the fingertips only. The GoodLife CS-200 Professional Blood Glucose Monitoring System is intended to be used for the quantitative measurement of glucose (sugar) in venous or arterial whole blood or fresh capillary drawn from the fingertips. It is intended for testing outside the body (in vitro diagnostic use) and is intended for multiple-patient use in professional healthcare settings as an aid to monitor the effectiveness of a diabetes control program. This system should only be used with single-use, auto-disabling lancing devices. The GoodLife CS-200 Professional Blood Glucose Monitoring System should not be used for the diagnosis of or screening of diabetes or for neonatal use. The GoodLife KP Professional Blood Glucose Test Strip is for use with the GoodLife CS-200 Professional Blood Glucose Meter to quantitatively measure glucose (sugar) in venous or arterial whole blood or fresh capillary drawn from the fingertips.
Device Story
System measures glucose in whole blood via amperometric reaction on test strips using glucose dehydrogenase (GDH-FAD). Input: 0.5 μL blood sample applied to strip via capillary action. Meter processes reaction current proportional to glucose concentration; displays result on LCD; stores data. Used by patients (home) or healthcare professionals (clinical). Professional version requires disinfection between patients. Output informs diabetes control monitoring. Benefits: rapid, quantitative glucose monitoring.
Clinical Evidence
Bench testing only. Compliance with ISO 15197:2003 requirements for blood glucose monitoring systems for self-testing in managing diabetes mellitus was verified. Results demonstrated that all predetermined acceptance criteria were met.
Technological Characteristics
Electrochemical biosensor (amperometry) using Glucose Dehydrogenase (FAD). Meter includes LCD, coding slot for digital code strip, and PCB-based check strip. Operating range 10-40°C. Sample volume 0.5µL. Calibration via digital code strip.
Indications for Use
Indicated for quantitative glucose measurement in fresh capillary (single-patient) or venous/arterial/capillary (professional) whole blood. Intended for diabetes management monitoring. Contraindicated for neonatal use, diabetes screening/diagnosis, and use on critically ill, shock, dehydrated, hypotensive, or hyperosmolar 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
U-RIGHT TD-4279A Blood Glucose Monitoring System (K101509)
Submission Summary (Full Text)
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# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY ASSAY AND INSTRUMENT COMBINATION TEMPLATE
A. 510(k) Number:
k121433
B. Purpose for Submission:
New device
C. Measurand:
Capillary, venous and arterial whole blood glucose
D. Type of Test:
Quantitative, Amperometric method, Glucose Dehydrogenase (GDH-FAD)
E. Applicant:
HMD Biomedical
F. Proprietary and Established Names:
GoodLife CS-200 Blood Glucose Monitoring System (single patient use)
GoodLife CS-200 Professional Blood Glucose Monitoring System (multiple patient use)
G. Regulatory Information:
| Regulation Section | Classification | Product Code | Panel |
| --- | --- | --- | --- |
| 21 CFR § 862.1345 | Class II | LFR, Glucose dehydrogenase, glucose | Clinical Chemistry (75) |
| 21 CFR § 862.1345 | Class II | NBW, system, test, blood glucose, over the counter | Clinical Chemistry (75) |
H. Intended Use:
1. Intended use(s):
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See indications for use below.
2. Indication(s) for use:
The GoodLife CS-200 Blood Glucose Monitoring System is intended to be used for the quantitative measurement of glucose (sugar) in fresh capillary whole blood samples drawn from the fingertips only. The GoodLife CS-200 Blood Glucose Monitoring System is intended to be used by a single person and should not be shared.
The GoodLife CS-200 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 GoodLife CS-200 Blood Glucose Monitoring System should not be used for the diagnosis of or screening of diabetes or for neonatal use.
The GoodLife KP Blood Glucose Test Strips are for use with the GoodLife CS-200 Blood Glucose Meter to quantitatively measure glucose (sugar) in fresh capillary whole blood samples drawn from the fingertips only.
The GoodLife CS-200 Professional Blood Glucose Monitoring System is intended to be used for the quantitative measurement of glucose (sugar) in venous or arterial whole blood or fresh capillary drawn from the fingertips. It is intended for testing outside the body (in vitro diagnostic use) and is intended for multiple-patient use in professional healthcare settings as an aid to monitor the effectiveness of a diabetes control program. This system should only be used with single-use, auto-disabling lancing devices.
The GoodLife CS-200 Professional Blood Glucose Monitoring System should not be used for the diagnosis of or screening of diabetes or for neonatal use.
The GoodLife KP Professional Blood Glucose Test Strip is for use with the GoodLife CS-200 Professional Blood Glucose Meter to quantitatively measure glucose (sugar) in venous or arterial whole blood or fresh capillary drawn from the fingertips.
3. Special conditions for use statement(s):
Not for neonatal use, nor for screening for or diagnosis of diabetes mellitus.
Not for use on critically ill patients, patients in shock, dehydrated patients, hypotensive patients or hyperosmolar patients.
Single-patient use devices are for single patients only and should not be shared.
Multiple-patient use meters must be disinfected between use following labeling recommendations
Multiple patient use systems should only use single use, auto disabling lancing devices.
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4. Special instrument requirements:
GoodLife CS-200 Blood Glucose Meter
GoodLife CS-200 Professional Blood Glucose Meter
I. Device Description:
GoodLife CS-200 Blood Glucose Monitoring System and GoodLife CS-200 Professional Blood Glucose Monitoring System consist of:
- Glucose Meter
- Glucose Test Strips
- Two levels of glucose control solutions (Level I and Level II). Glucose Control solutions were previously cleared under K032985.
- Check Strip
- Instructions for use
J. Substantial Equivalence Information:
1. Predicate device name(s):
TaiDoc Technology Corporation U-RIGHT TD-4279A Blood Glucose Monitoring System
2. Predicate 510(k) number(s):
k101509
3. Comparison with predicate:
| Similarities – CS 200 | | |
| --- | --- | --- |
| Item | Candidate Device | Predicate device TaiDoc U-RIGHT TD-4279A Blood Glucose Monitoring System (k101509) |
| Indications for Use | Quantitative measurement of glucose in capillary whole blood | Quantitative measurement of glucose in capillary and venous whole blood |
| Operating principle / methodology | Same | Amperometric |
| Test time | Same | 5 seconds |
| Enzyme | Same | Glucose dehydrogenase |
| Measuring range | Same | 20 – 600 mg/dL |
| Operating temperature range | Same | 10 – 40° C |
| Units | Same | mg/dL |
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| Differences – CS 200 | | |
| --- | --- | --- |
| Item | Candidate Device | Predicate device TaiDoc U-RIGHT TD-4279A Blood Glucose Monitoring System (k101509) |
| Hematocrit range | 30 – 55% | 20 – 70% |
| Calibration | Coding required | No code |
| Sample volume | 0.5 μL | 1.1 μL |
| Size L x W x H (mm) | 90 x 56 x 19 | 94.9 x 52 x 15 |
| Weight | 70 g | 67.6 g |
| Maximum altitude | 8,800 feet | 10,742 feet |
| Operating humidity range | 20 – 80% RH | < 85% RH |
| Similarities – CS 200 Professional | | |
| --- | --- | --- |
| Item | Candidate Device | Predicate device TaiDoc U-RIGHT TD-4279A Blood Glucose Monitoring System (k101509) |
| | | |
| Indications for Use | Quantitative measurement of glucose in capillary, venous, and arterial whole blood | Quantitative measurement of glucose in capillary and venous whole blood |
| Operating principle / methodology | Same | Amperometric |
| Test time | Same | 5 seconds |
| Enzyme | Same | Glucose dehydrogenase |
| Measuring range | Same | 20 – 600 mg/dL |
| Operating temperature range | Same | 10 – 40° C |
| Units | Same | mg/dL |
| Differences – CS 200 Professional | | |
| --- | --- | --- |
| Item | Candidate Device | Predicate device TaiDoc U-RIGHT TD-4279A Blood Glucose Monitoring System (k101509) |
| Hematocrit range | 30 – 55% | 20 – 70% |
| Calibration | Coding required | No code |
| Sample volume | 0.5 μL | 1.1 μL |
| Size L x W x H (mm) | 90 x 56 x 19 | 94.9 x 52 x 15 |
| Weight | 70 g | 67.6 g |
| Maximum altitude | 8,800 feet | 10,742 feet |
| Operating humidity range | 20 – 80% RH | < 85% RH |
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| Differences – CS 200 Professional | | |
| --- | --- | --- |
| Item | Candidate Device | Predicate device TaiDoc U-RIGHT TD-4279A Blood Glucose Monitoring System (k101509) |
| Maximum altitude | 8,800 feet | 10, 742 feet |
| Operating humidity range | 20 – 80% RH | < 85% RH |
## K. Standard/Guidance Document Referenced (if applicable):
CEN 13640 Stability Testing of in Vitro Diagnostic Reagents
CLSI EP05-A2 Evaluation of Precision Performance of Quantitative Measurement Methods; Approved Guideline-Second Edition
CLSI EP06-A: Evaluation of the Linearity of Quantitative Measurement Procedures: A Statistical Approach.
CLSI EP07-A: Interference Testing in Clinical Chemistry; Approved Guideline-Second Edition.
ISO 14971 Medical devices - Application of risk management to medical devices
ISO 15197:2003 In Vitro Diagnostic Test Systems - Requirements for blood-glucose monitoring systems for self-testing in managing diabetes mellitus
## L. Principle:
When the blood is drawn into the blood reaction zone of the test strip, the glucose in the blood sample mixes with a special chemical in the test strip, which produces a small electric current. The reaction current is proportional to the amount of glucose in the blood. The result is displayed on the LCD monitor and automatically stored in the meter for future use.
## M. Performance Characteristics (if/when applicable):
### 1. Analytical performance:
#### a. Precision/Reproducibility:
Repeatability was evaluated by analyzing venous whole blood samples spiked to six different glucose concentrations. The hematocrit of all samples was between 30 and 55%. Three lot numbers of test strips and ten meters were used in the study and each of the six samples was measured ten times per strip lot per meter for a total of 100 measurements per glucose concentration. Results are summarized below:
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Test Strip Lot 1
| Glucose conc. (mg/dL) | 30-50 | 51-110 | 111-150 | 151-250 | 251-400 | 401-600 |
| --- | --- | --- | --- | --- | --- | --- |
| n | 100 | 100 | 100 | 100 | 100 | 100 |
| Mean (mg/dL) | 42.3 | 104.1 | 122.0 | 198.6 | 334.2 | 569.2 |
| Std Dev (mg/dL) | 1.7 | 4.2 | 3.5 | 6.3 | 12.6 | 21.2 |
| CV (%) | 4.0 | 4.0 | 2.9 | 3.2 | 3.8 | 3.7 |
Test Strip Lot 2
| Glucose conc. (mg/dL) | 30-50 | 51-110 | 111-150 | 151-250 | 251-400 | 401-600 |
| --- | --- | --- | --- | --- | --- | --- |
| n | 100 | 100 | 100 | 100 | 100 | 100 |
| Mean (mg/dL) | 43.0 | 102.7 | 123.9 | 206.8 | 343.6 | 570.2 |
| Std Dev (mg/dL) | 1.6 | 3.5 | 4.9 | 9.1 | 14.0 | 24.7 |
| CV (%) | 3.9 | 3.4 | 4.0 | 4.4 | 4.1 | 4.3 |
Test Strip Lot 3
| Glucose conc. (mg/dL) | 30-50 | 51-110 | 111-150 | 151-250 | 251-400 | 401-600 |
| --- | --- | --- | --- | --- | --- | --- |
| n | 100 | 100 | 100 | 100 | 100 | 100 |
| Mean (mg/dL) | 43.2 | 104.0 | 121.4 | 192.0 | 304.3 | 554.5 |
| Std Dev (mg/dL) | 1.7 | 3.5 | 4.1 | 6.6 | 11.0 | 21.7 |
| CV (%) | 4.0 | 3.4 | 3.3 | 3.4 | 3.6 | 3.9 |
Intermediate Precision was evaluated by analyzing control samples at three different concentrations. Three lots of test strips and ten meters were used in the study. Each of the control levels was measured once per day over twenty days for each of the ten meters. In total, 200 measurements were taken for each of the three levels. Results are summarized below:
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Lot 1
| Control solution assigned value (mg/dL) | Level 1 | Level 2 | Level 3 |
| --- | --- | --- | --- |
| n | 100 | 100 | 100 |
| Mean (mg/dL) | 44.3 | 110.2 | 353.5 |
| Std Dev (mg/dL) | 2.0 | 3.9 | 13.4 |
| CV (%) | 4.4 | 3.6 | 3.8 |
Lot 2
| Control solution assigned value (mg/dL) | Level 1 | Level 2 | Level 3 |
| --- | --- | --- | --- |
| n | 100 | 100 | 100 |
| Mean (mg/dL) | 44.4 | 109.5 | 350.0 |
| Std Dev (mg/dL) | 1.9 | 4.3 | 12.5 |
| CV (%) | 4.4 | 3.9 | 3.6 |
Lot 3
| Control solution assigned value (mg/dL) | Level 1 | Level 2 | Level 3 |
| --- | --- | --- | --- |
| n | 100 | 100 | 100 |
| Mean (mg/dL) | 44.4 | 110.4 | 355.4 |
| Std Dev (mg/dL) | 2.1 | 4.4 | 16.5 |
| CV (%) | 4.7 | 4.0 | 4.6 |
b. Linearity/assay reportable range:
The sponsor evaluated the linearity of the meter by preparing a series of eight glucose samples, following the dilution scheme in CLSI EP6-A, and producing target values of 13, 42, 103, 119, 231, 337, 449, and 659 mg/dL.
Each of the eight levels was analyzed twenty times using two lots of test strips. All samples were also tested on the YSI 2300 analyzer. Linear regression of the data produced the following:
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| Strip lot | Line equation | 95% CI slope | 95% CI intercept | r² | n |
| --- | --- | --- | --- | --- | --- |
| 1 | y = 0.99x +4.87 | ±0.01 | ±2.12 | 0.999 | 160 |
| 2 | y = 0.97x +4.94 | ±0.01 | ±2.92 | 0.998 | 160 |
| 3 | y = 0.95x +7.06 | ±0.01 | ±2.82 | 0.998 | 160 |
| combined | y = 0.97x +5.62 | ±0.01 | ±1.64 | 0.998 | 480 |
The results of the study support the sponsor’s claimed glucose measurement range of 20 – 600 mg/dL.
c. Traceability, Stability, Expected values (controls, calibrators, or methods):
Traceability:
The CS-200 Glucose Monitoring System is traceable to the YSI 2300 Glucose analyzer. The YSI 2300 is calibrated using the YSI 2747 Glucose Standard which is NIST traceable.
Test Strip Stability
Closed vial (shelf life)
Test strip shelf life stability was assessed in real time studies. Testing protocols and acceptance criteria for the GoodLife KP Blood Glucose Test Strip were reviewed and found to be acceptable. The testing supported the claimed shelf life stability of 24 months at the recommended storage temperatures of 50 – 104° F.
Opened vial (in-use)
Test strip opened vial stability was assessed in real time studies. Testing protocols and acceptance criteria for the GoodLife KP Blood Glucose Test Strip were reviewed and found to be acceptable. The testing supported the claimed opened vial stability of 90 days at the recommended storage temperatures of 50 – 104° F.
Control Solution Value Assignment and Stability:
Value assignment for the GoodLife Glucose Control Solutions using the GoodLife CS-200 Blood Glucose Monitoring System was calculated with replicate measurements of each control on five meters. Testing protocols and acceptance criteria were reviewed and found to be acceptable
Control stability claims of an 18 month shelf life and 90 days open-vial when stored at 50 – 86° F were validated in k032985.
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# d. Detection limit:
The measuring range of the device is $20 - 600\mathrm{mg / dL}$ . This range was validated by the linearity study (M.1.b).
# e. Analytical specificity:
The sponsor performed interference studies in accordance with CLSI EP7-A. Testing was performed in parallel (control samples vs. test samples) to minimize the effects of glucose metabolism. The glucose levels tested were approximately 65 and $310\mathrm{mg / dL}$ by the reference method, and were produced by spiking into venous blood samples. Four concentrations of each potential interferent were tested at each glucose level. The sponsor defined no significant interference as $\leq 10\%$ . The following substances did not cause significant interference at the concentrations listed:
| Substance | No interference up to (mg/dL unless otherwise noted): |
| --- | --- |
| Acetaminophen | 20 |
| Ascorbic Acid | 2.25 |
| Bilirubin | 40 |
| Cholesterol | 500 |
| Creatinine | 10 |
| Dopamine | 20 |
| Ephedrine | 10 |
| Ethanol | 400 |
| Fructose | 40 |
| Galactose | 100 |
| Gentisic Acid | 2 |
| Glutathione | 60 |
| Hemoglobin | 450 |
| Ibuprofen | 50 |
| Lactose | 20 |
| L-Dopa | 0.8 |
| Maltose | 200 |
| Methyl-dopa | 1.6 |
| Salicylate | 50 |
| Sorbitol | 10 |
| Tetracycline | 1.6 |
| Tolazamide | 6.25 |
| Tolbutamide | 64 |
| Triglyceride | 1000 |
| Urea | 600 |
| Uric Acid | 15 |
| Xylose | 50 |
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The sponsor has the following limitations in their labeling:
High concentrations of triglycerides (>1,000 mg/dL), ascorbic acid (>2.25 mg/dL), xylose (>50 mg/dL) and uric acid (>15 mg/dL) may affect the test results.
f. Assay cut-off:
Not Applicable.
2. Comparison studies:
a. Method comparison with predicate device:
System Accuracy Study (capillary blood)
For this study, 90 capillary blood samples from the finger with concentrations from 50 – 391 mg/dL were collected and analyzed by a healthcare professional on the GoodLife CS-200 Professional Blood Glucose Meter. Five additional samples at concentrations < 50 mg/dL and five additional samples at concentrations > 400 mg/dL were also analyzed. Low concentrations were achieved by allowing samples to glycolyze and high concentration samples were achieved by spiking. Three lots of test strips were used to collect the data and all results were compared to the YSI glucose reference method. Results are summarized below:
n = 100
y = 1.014x + 0.7458
r² = 0.9729
Sy.x = 17.82
Concentration Range: 41-489 mg/dL
Glucose concentration < 75 mg/dL
| Within ± 5 mg/dL | Within ± 10 mg/dL | Within ± 15 mg/dL |
| --- | --- | --- |
| 8/18 (44%) | 16/18 (89%) | 18/18 (100%) |
Glucose concentration ≥ 75 mg/dL
| Within ± 5% | Within ± 10% | Within ± 15% | Within ± 20% |
| --- | --- | --- | --- |
| 37/82 (45%) | 67/82 (82%) | 75/82 (91%) | 80/82 (98%) |
b. Matrix comparison:
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# System Accuracy Study (venous blood)
For this study, 90 venous blood samples with concentrations from 53 – 399 mg/dL were collected and analyzed by a healthcare professional on the the GoodLife CS-200 Professional Blood Glucose Meter. Five additional samples at concentrations < 50 mg/dL and five additional samples at concentrations > 400 mg/dL were also analyzed. Low concentrations were achieved by allowing samples to glycolyze and high concentration samples were achieved by spiking. Three lots of test strips were used to collect the data and all results were compared to the YSI glucose reference method. Results are summarized below:
n = 100
y = 1.0083x + 2.3596
r² = 0.9731
Sy.x = 19.11
Range: 31 – 489 mg/dL
Glucose concentration < 75 mg/dL
| Within ± 5 mg/dL | Within ± 10 mg/dL | Within ± 15 mg/dL |
| --- | --- | --- |
| 6/14 (43%) | 13/14 (93%) | 14/14 (100%) |
Glucose concentration ≥ 75 mg/dL
| Within ± 5% | Within ± 10% | Within ± 15% | Within ± 20% |
| --- | --- | --- | --- |
| 34/86 (40%) | 66/86 (77%) | 77/86 (90%) | 84/86 (98%) |
# System Accuracy Study (arterial blood)
For this study, 90 arterial blood samples with concentrations from 53 – 396 mg/dL were collected and analyzed by a healthcare professional on the GoodLife CS-200 Professional Blood Glucose Meter. Five additional samples at concentrations < 50 mg/dL and five additional samples at concentrations > 400 mg/dL were also analyzed. Low concentrations were achieved by allowing samples to glycolyze and high concentration samples were achieved by spiking. Three lots of test strips were used to collect the data and all results were compared to the YSI glucose reference method. Results are summarized below:
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n = 100
y = 0.9879 + 2.3162
r² = 0.968
Sy.x = 20.78
Range: 31 – 489 mg/dL
Glucose concentration < 75 mg/dL
| Within ± 5 mg/dL | Within ± 10 mg/dL | Within ± 15 mg/dL |
| --- | --- | --- |
| 6/14 (43%) | 13/14 (93%) | 14/14 (100%) |
Glucose concentration ≥ 75 mg/dL
| Within ± 5% | Within ± 10% | Within ± 15% | Within ± 20% |
| --- | --- | --- | --- |
| 33/86 (38%) | 61/86 (71%) | 76/86 (88%) | 84/86 (98%) |
## 3. Clinical studies:
a. Clinical Sensitivity:
Not Applicable.
b. Clinical specificity:
Not Applicable.
c. Other clinical supportive data (when a. and b. are not applicable):
## Lay User Study (capillary blood only)
For this study, 150 naive lay users collected and analyzed their own fingerstick capillary blood samples using the GoodLife CS-200 Blood Glucose Meter. The participants did not receive any training other than to read the English labeling provided with the GoodLife CS-200 Blood Glucose Monitoring System. Within 5 minutes a second capillary fingerstick sample was collected for analysis on the YSI reference method. Three lots of test strips were used to collect the data. Results are summarized below:
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n = 150
$$
y = 1.001x + 1.4112
$$
$$
r^2 = 0.9601
$$
$$
\text{Sy.x} = 19.76
$$
Range: 41-395 mg/dL
Glucose concentration < 75 mg/dL
| Within ± 5 mg/dL | Within ± 10 mg/dL | Within ± 15 mg/dL |
| --- | --- | --- |
| 16/18 (89%) | 18/18 (100%) | 18/18 (100%) |
Glucose concentration ≥ 75 mg/dL
| Within ± 5% | Within ± 10% | Within ± 15% | Within ± 20% |
| --- | --- | --- | --- |
| 57/132 (43%) | 108/132 (82%) | 125/132 (95%) | 129/132 (98%) |
4. Clinical cut-off:
Not Applicable.
5. Expected values/Reference range:
Expected blood glucose values for nondiabetic adults are as follows:
Before meals < 100 mg/dL
After meals < 140 mg/dL
Reference:
Source: American Diabetes Association Position Statement, Diabetes Care Vol.35 (Suppl.1) p.S13 (2012)
N. Instrument Name:
GoodLife CS-200 Blood Glucose Meter (single patient use)
GoodLife CS-200 Professional Blood Glucose Meter (multiple patient use)
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O. System Descriptions:
1. Modes of Operation:
Each test strip is single use and must be replaced with a new strip for additional measurements. The minimum sample size is 0.5 µL.
Does the applicant’s device contain the ability to transmit data to a computer, webserver, or mobile device?
☐ Yes ☐ No
Does the applicant’s device transmit data to a computer, webserver, or mobile device using wireless transmission?
☐ Yes ☐ No
2. Software:
FDA has reviewed applicant’s Hazard Analysis and software development processes for this line of product types:
☐ Yes ☐ No
The applicant has provided documentation that indicates the device was designed and developed under good software life-cycle processes.
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, venous, or arterial whole blood. The whole blood sample is applied directly to the test strip by capillary action.
5. Calibration:
The meter must be coded (calibrated) through the use of a code strip that is included with every vial of test strips.
6. Quality Control:
Glucose control solutions at two different concentrations can be analyzed with this device, and
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are included in the starter 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 glucose strip vial label. The user is cautioned not to use the meter if the control result falls outside these ranges.
P. Other Supportive Instrument Performance Characteristics Data Not Covered In The "Performance Characteristics" Section above:
1. Hematocrit Study
In this study, one strip lot was tested on one meter in replicates of six at each of the following hematocrit levels: 25, 30, 35, 40, 45, 55, and 60%. The glucose levels in venous blood samples fell into six categories: 20 - 50, 51 - 110, 111 - 150, 151 - 250, 251 - 400, and 401 - 600 mg/dL. A single replicate was obtained for each combination of test strip/glucose level/hematocrit and donor. This resulted in n = 252 data points (6 glucose levels x 7 hematocrit levels x 6 replicates per sample). Glucose concentrations were verified by the YSI reference method. The bias relative to the reference method was acceptable to support the claim that hematocrit levels of 30 to 55% do not significantly affect the glucose results.
2. Sample Volume Study
The sponsor performed a sample volume study to support the claimed minimum sample volume requirement for the GoodLife CS-200 Blood Glucose Monitoring System (0.5 μL) using blood samples at six glucose concentrations (44, 80, 131, 207, 314, and 508 mg/dL). Results support the claimed sample volume of 0.5 μL.
3. Altitude Study
In this study, one test strip lot was tested on four meters on blood samples adjusted into six categories: 20 - 50, 51 - 110, 111 - 150, 151 - 250, 251 - 400, and 401 - 600 mg/dL. The samples were tested at three altitude levels: sea level, 5,741 feet, and at 8,800 feet. Each combination of altitude / sample / meter was tested in replicates of 5. This resulted in n = 360 data points (3 altitudes x 6 glucose levels x 4 meters x 5 replicates). Glucose concentrations were verified by the YSI reference method. The bias relative to the reference method was acceptable to support the claim that altitudes up to 8,800 feet do not significantly affect the glucose results.
4. Temperature and Humidity Studies
In this study, one test strip lot was tested on two meters at eight glucose concentrations at ten combinations of temperature and humidity. Each combination of environmental conditions / glucose concentration / meter was tested in replicates of 5. This resulted in n = 800 data points (10 environmental conditions x 8 glucose concentrations x two meters x 5 replicates). The temperatures tested were 46, 50, 77, 104, and 108° F. The relative humidities tested were 15 and 85%. Glucose concentrations were verified by the YSI
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reference method. The bias relative to the reference method was acceptable to support the claim that temperatures from 10 – 40° C (50 – 104° F) and relative humidities from 20 – 80% do not significantly affect the glucose results.
5. Infection Control Studies
The GoodLife CS-200 Blood Glucose Monitoring System is intended for single-patient use. The GoodLife CS-200 Professional Blood Glucose Monitoring System is intended for multiple-patient use. Disinfection efficacy studies were performed on the materials comprising the meter by an outside commercial testing facility demonstrating complete inactivation of hepatitis B virus (HBV) with the chosen disinfectant, Clorox Germicidal Wipes (EPA Registration Number 67619-12). Robustness studies were also performed by the sponsor demonstrating that there was no change in performance or external materials for the meter after 13,688 cleaning and disinfection cycles with Clorox Germicidal Wipes. The robustness studies were designed to simulate 5 years of multiple-patient use. Labeling was reviewed for adequate instructions for the validated cleaning and disinfection procedures.
6. EMC testing
Electromagnetic Compatibility and Electrical Safety testing were performed in accordance with EN 60601-1, EN 60601-1-2, EN 61010-1, EN 61010-2-101 and EN 61326-1. The device satisfied all of the requirements.
7. Readability Assessment
The sponsor provided a readability assessment on the User Guide, Test Strip Insert, and Control Solution Insert. The Flesch-Kincaid analysis produced a grade level of 7.8, 7.9, and 7.9 respectively.
8. Toll free Customer service is available Mon–Fri 9:00 am - 4:30 pm (Pacific Time) by calling 1-855-692-3511. Uses are instructed to call their healthcare professional at all other times.
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.