LIBERTY BLOOD GLUCOSE MONITORING SYSTEM, MODEL 8000-0067
K052762 · Agamatrix, Inc. · NBW · Jan 23, 2006 · Clinical Chemistry
Device Facts
Record ID
K052762
Device Name
LIBERTY BLOOD GLUCOSE MONITORING SYSTEM, MODEL 8000-0067
Applicant
Agamatrix, Inc.
Product Code
NBW · Clinical Chemistry
Decision Date
Jan 23, 2006
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 862.1345
Device Class
Class 2
Attributes
Pediatric
Indications for Use
The Liberty™ Blood Glucose Monitoring System is intended to quantitatively measure blood glucose levels, also known as blood sugar, from fresh capillary whole blood samples taken from the fingertips or the palm. The Liberty™ Test Strips are for in vitro diagnostic (outside of the body) use only. The Liberty M System is not intended for use with neonates.
Device Story
System measures glucose in fresh capillary whole blood (fingertip/palm) via electrochemical biosensor technology using glucose oxidase enzyme. User applies blood to test strip; meter detects sample, performs electrochemical measurement, and displays result. Used at home (OTC) or in clinical settings to monitor diabetes control. Meter stores 300 results, calculates averages (breakfast, lunch, dinner, bedtime), and generates 14/30/90-day trend graphs. Provides plasma-equivalent results. Benefits include real-time glucose monitoring for diabetes management.
Clinical Evidence
Clinical study compared lay user results (fingertip/palm) to HCP results and YSI 2300 reference method. 166 samples in user study; 98% of palm results within Zone A of consensus error grid. Linearity demonstrated 20-600 mg/dL. Precision testing (n=10 meters) showed CVs 1.2-5.0%. Interference testing performed for bilirubin, uric acid, acetaminophen, triglycerides, and ascorbic acid.
Technological Characteristics
Portable, battery-operated glucose meter. Uses test strips for in vitro diagnostic measurement of capillary whole blood. Complies with ISO 15197:2003, ISO 14971:2000, IEC 61010-1, IEC 61010-2-101, and IEC 61000-4-3. Features include faster test time and reduced sample volume compared to predicate.
Indications for Use
Indicated for quantitative measurement of glucose in fresh capillary whole blood from fingertip and palm. For in vitro diagnostic use by persons with diabetes (OTC) or healthcare professionals in clinical settings to monitor diabetes control effectiveness. Not for use with neonates.
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
Bayer Ascensia Contour Blood Glucose Monitoring System (k023657)
Submission Summary (Full Text)
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# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY ASSAY AND INSTRUMENT COMBINATION TEMPLATE
A. 510(k) Number:
k052762
B. Purpose for Submission:
Premarket Notification 510(k) of intention to manufacture and market the AgaMatrix Liberty™ Blood Glucose Monitoring System.
C. Measurand:
Whole Blood Glucose
D. Type of Test:
Quantitative, utilizing Glucose Oxidase technology
E. Applicant:
AgaMatrix, Inc.
F. Proprietary and Established Names:
Liberty™ Blood Glucose Monitoring System
G. Regulatory Information:
1. Regulation section:
21 CFR §862.1345, Glucose test system.
21 CFR §862.1660, Single (Specified) Analyte Controls (Assayed and Unassayed)
2. Classification:
Class II (analyte)
Class I (controls)
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3. Product code:
NBW, CGA (glucose)
JJX (control)
4. Panel:
75 (Chemistry)
H. Intended Use:
1. Intended use(s):
See Indications for use below.
2. Indication(s) for use:
AgaMatrix Liberty™ Blood Glucose Monitoring System:
AgaMatrix Liberty™ Blood Glucose Monitoring System is intended for the quantitative measurement of glucose in fresh capillary whole blood from the fingertip and palm of the hand. Testing is done outside the body (in vitro diagnostic use). It is intended for use at home (over the counter (OTC)) by persons with diabetes, or in a clinical setting by healthcare professionals, as an aid to monitor the effectiveness of diabetes control.
AgaMatrix Liberty™ Blood Glucose Meter:
AgaMatrix Liberty™ Blood Glucose meter is intended for use with AgaMatrix Liberty™ Blood Glucose Test Strips for the quantitative measurement of glucose in fresh capillary whole blood from the fingertip and palm of the hand. Testing is done outside the body (in vitro diagnostic use). It is indicated for use at home (over the counter (OTC)) by persons with diabetes, or in a clinical setting by healthcare professionals, as an aid to monitor the effectiveness of diabetes control.
AgaMatrix Liberty™ Blood Glucose Test Strips:
AgaMatrix Liberty™ Blood Glucose Test Strips are intended for use with AgaMatrix Liberty™ Blood Glucose Meter for the quantitative measurement of glucose in fresh capillary whole blood from the fingertip and palm of the hand. Testing is done outside the body (in vitro diagnostic use). It is indicated for use at home (over the counter (OTC)) by persons with diabetes, or in a clinical setting by healthcare professionals, as an aid to monitor the effectiveness of diabetes control.
AgaMatrix Liberty™ Control Solution:
AgaMatrix Liberty™ Control Solution is intended for use with AgaMatrix Liberty™ Meter and AgaMatrix Liberty™ Test Strips as a quality control check to verify the accuracy of blood glucose test results.
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3. Special conditions for use statement(s):
Provides plasma equivalent results.
This device is not intended for use on neonates.
4. Special instrument requirements:
Liberty™ Blood Glucose Monitoring System
I. Device Description:
The AgaMatrix Liberty™ Blood Glucose Monitoring System includes a meter with batteries, compact carrying case, quick start guide, reference guide, owner's booklet, and warranty/registration card. Test Strips, Lancing device, Lancets, and Control Solution are purchased separately.
J. Substantial Equivalence Information:
1. Predicate device name(s):
Bayer Ascensia Contour Blood Glucose Monitoring System
2. Predicate 510(k) number(s):
k023657
3. Comparison with predicate:
| Similarities | | |
| --- | --- | --- |
| Item | Predicate Device Ascensia Contour k023657 | New Device AgaMatrix Liberty™ k052762 |
| Intended Use | Blood glucose monitoring for home and point-of-care | Same |
| Calibration | Plasma equivalent | Same |
| Operating Temperature | 50-104 F (10-40 C) | Same |
| System Components | Meter, test strip, control solution | Same |
| Specimen | Whole blood, capillary | same |
| Blood Sampling Sites | Fingertip, palm | Same |
| Measurement Units | mg/dL or mmol/L | Same |
| Hematocrit Range | 20-60% | Same |
| Calibration | Plasma equivalent | Same |
| Power Source | 2#2032, 3 volt lithium batteries, replaceable | Same |
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| Differences | | |
| --- | --- | --- |
| Item | Predicate Device Ascensia Contour k023657 | New Device AgaMatrix Liberty™ k052762 |
| Test Principle/ Enzyme | Electrochemical, Glucose dehydrogenase | Electrochemical. Glucose Oxidase |
| Test Range | 10-600 mg/dL | 20-600 mg/dL |
| Sample Volume | 0.6 microliters | 0.5 microliters |
| Test Time | 15 seconds | Minimum of 4 seconds, maximum of 12 seconds |
| Cal code setting | Automatic | Manual |
| Backlight | No | Yes |
| Number of test results stored | 240 | 300 |
| Size | 5.3” (width) x 7.4” (length) x 1.73” (height) | 4.0” (width) x 7.0” (length) x 1.4” (height) |
| Weight | 52.3 g (including batteries) | 44.1 g (including batteries) |
## K. Standard/Guidance Document Referenced (if applicable):
The manufacturer of the Liberty™ Blood Glucose Monitoring System certifies that its device complies with the following:
- ISO 15197: 2003 In vitro diagnostic test systems – Requirements for blood glucose monitoring systems for self-testing in managing diabetes mellitus.
- ISO 14971: 2000 Medical devices – Application of risk management to medical devices.
- IEC 61010-1 Medical electrical equipment – General requirements for safety.
- IEC 61010-2-101 Safety requirements for electrical equipment for measurement, control and laboratory use – particular requirements for in vitro diagnostic (IVD) medical equipment.
- IEC 61000-4-3 Electromagnetic compatibility (EMC).
- NCCLS EP5 Evaluation of Precision Performance of Clinical Chemistry Devices; Approved Guideline.
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# L. Test Principle:
The Test Principle used by this device is electrochemical biosensor technology using Glucose Oxidase. The strip uses the enzyme Glucose Oxidase to produce an electrical current that will stimulate a chemical reaction. This reaction is measured by the Liberty™ meter and displayed as a blood glucose result.
# M. Performance Characteristics (if/when applicable):
# 1. Analytical performance:
# a. Precision/Reproducibility:
According to the sponsor repeatability testing was done according to ISO 15197. Repeatability was evaluated using at least 10 meters, one lot of test trips, and using whole blood samples at 5 glucose concentrations analyzed at least 10 times each within one day on each meter.
All data gathered from the 5 blood samples was considered acceptable. See table below:
| Glucose mg/dL | | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 50 | Mean | 43.9 | 46.8 | 43.7 | 45.1 | 46.2 | 46 | 45.1 | 47.4 | 46.2 | 43.8 |
| | SD | 1.8 | 2.1 | 1.6 | 1.3 | 1.8 | 2.3 | 1.8 | 1.5 | 1.6 | 1.6 |
| | CV | 4.1% | 4.5% | 3.7% | 2.9% | 3.8% | 4.9% | 4.0% | 3.2% | 3.5% | 3.7% |
| 91 | Mean | 89.3 | 93.7 | 90.0 | 91.9 | 91.1 | 90.0 | 90.9 | 94.7 | 91.9 | 89.9 |
| | SD | 1.9 | 4.4 | 2.0 | 3.3 | 2.3 | 4.6 | 2.0 | 2.8 | 2.8 | 2.6 |
| | CV | 2.1% | 4.7% | 2.2% | 3.6% | 2.5% | 5.0% | 2.2% | 3.0% | 3.1% | 2.8% |
| 125 | Mean | 122.9 | 123.7 | 120 | 120.9 | 122.7 | 121 | 121.8 | 130.8 | 122.8 | 121.7 |
| | SD | 3.6 | 1.7 | 2.8 | 2.8 | 3.3 | 2.5 | 2.8 | 3.3 | 4.8 | 3.3 |
| | CV | 3.0% | 1.4% | 2.4% | 2.4% | 2.7% | 2.1% | 2.3% | 2.5% | 3.9 | 2.7% |
| 225 | Mean | 215.6 | 218.1 | 211.4 | 210.2 | 212.5 | 211.1 | 214.7 | 226.4 | 218.2 | 215.3 |
| | SD | 8.0 | 3.9 | 2.5 | 3.7 | 4.6 | 4.8 | 4.9 | 5.2 | 5.4 | 4.8 |
| | CV | 3.7% | 1.8% | 1.2% | 1.8% | 2.2% | 2.3% | 2.3% | 2.3% | 2.5% | 2.2% |
| 291 | Mean | 276.6 | 283.2 | 273.5 | 276.8 | 276.3 | 270.6 | 263.4 | 282.3 | 273.3 | 269.1 |
| | SD | 9.7 | 8.6 | 5.7 | 12.9 | 13.7 | 9.0 | 5.9 | 8.2 | 7.6 | 5.1 |
| | CV | 3.5% | 3.0% | 2.1% | 4.7% | 5.0% | 3.3% | 2.2% | 2.9% | 2.8% | 1.9% |
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# b. Linearity/assay reportable range:
According to the sponsor the evaluation of analytical performance of the Liberty blood glucose monitoring system consists of several parts and the evaluation of the linearity of readings is one of these parts. The method to assess the accuracy of measurements on blood samples with a wide range of standard properties is defined in the Liberty Linearity Evaluation Protocol. Included in this testing protocol are descriptions of how the results it generates are to be assessed.
High and Low samples were prepared to glucose concentrations slightly higher than that desired before being placed in the tonometer. The prepared samples had dropped to near the desired values by the time they had equilibrated, and were mixed to generate the desired range of linearity samples. There were six data points collected for every sample prepared. The data, presented below shows neither extreme nonlinearity nor outliers.

Linearity data plotted as test method (y-axis) against sample glucose (x-axis). Linear- and 3rd-order polynomial -least-squares regression curves are fitted to the data (solid and dotted lines respectively): see below. The data is shown as individual points (crosses) with error bars marking the standard error limits of the mean.
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# Difference plot
The difference between the meter reading and the sample glucose concentration is subject to system accuracy limits within the Test Range of the meter. The system accuracy is assessed according to the Liberty Product Requirements Document (PRD) the section of the PRD relevant to this work is listed in the table below. This section defines performance requirements according to ISO requirements:
| Factor investigated | Section of PRD | Requirement |
| --- | --- | --- |
| Plasma glucose concentration (Plasma glucose) | 5.2.4
Test Range | The meter and test strip shall be able to test blood glucose levels between 20-600 mg/dL (1.1 – 33.3 mmol/L). |
| System accuracy | 6.2.3
System accuracy requirements | The requirements of ISO 15197 apply for samples, reagent system, meters, environment, procedure, general data analysis, data presentation, system accuracy analysis, regression analysis, and minimum acceptable system accuracy.
System accuracy shall be evaluated with blood samples according to ISO 15197; ninety-five percent (95 %) of the individual glucose results shall fall within ±15 mg/dL (±0.83 mmol/L) of the results of the manufacturer's measurement procedure at glucose concentrations < 75 mg/dL (< 4.2 mmol/L) and within ± 20% at glucose concentrations ≥ 75 mg/dL (3.9 mmol/L). |
The data collected for this report cover the range 0.99 to 33.3 mM glucose and show that the system accuracy is maintained within ISO requirements across the full Test Range. This is shown in the difference plot below:
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Difference plot between sample concentration (x-axis) and difference in sample concentration and reading (y-axis). The ISO limits are shown as solid red lines and all data is within these limits.
# Regression Analysis
The data are to be assessed for linearity across the test range according to NCCLS EP6-A Evaluation of the Linearity of Quantitative Measurement Procedures: A Statistical Approach; Approved Guidelines and the system accuracy were also assessed according to the Liberty Product Requirements Document. The results of least-squares regression are listed in the table:
| order | coefficient | value | s.e. | t-test parameters | | | | Standard error regression |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| | | | | Value /s.e. | Degrees of freedom | t-value | conclusion | |
| 1st | b0 | -5.80 | 2.84 | | 12.67 | | | |
| | b1 | 16.48 | 0.15 | | | | | |
| 2nd | b0 | 5.29 | 3.04 | | 10.27 | | | |
| | b1 | 14.00 | 0.46 | | | | | |
| | b2 | 0.076 | 0.014 | 5.58 | | 57 | 2.002 | significant |
| 3rd | b0 | -0.87 | 3.55 | | 9.65 | | | |
| | b1 | 16.92 | 1.09 | | | | | |
| | b2 | -0.150 | 0.078 | -1.91 | | 56 | 2.003 | not significant |
| | b3 | 0.0045 | 0.0015 | 2.92 | | 56 | 2.003 | significant |
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Parameters determined for use in the t-test are listed in the above table and show that both the second- and third-order polynomials have significant coefficients of non-linearity and are therefore candidates for description of system performance. Of these two polynomials, the standard error of regression shows the third-order polynomial to be the better candidate. The difference between the linear (first-order) and third-order polynomial are calculated in the table below for all sample concentrations encountered:
| concentration | | Predicted values | | Deviations from linearity, 1st - 3rd | |
| --- | --- | --- | --- | --- | --- |
| mM | mg/dL | 1storder | 3rdorder | Absolute, mg/dL | % |
| 33.3 | 600 | 543 | 561 | | 2.98 |
| 29.3 | 527 | 477 | 478 | | 0.19 |
| 25.2 | 454 | 410 | 402 | | -1.75 |
| 21.2 | 382 | 343 | 333 | | -2.83 |
| 17.2 | 309 | 277 | 268 | | -2.99 |
| 13.1 | 236 | 210 | 205 | | -2.16 |
| 9.1 | 163 | 144 | 144 | | -0.08 |
| 5.0 | 91 | 77 | 81 | | 4.30 |
| 1.47 | 26.5 | 18.5 | 23.7 | 5.3 | |
| 0.99 | 17.8 | 10.5 | 15.8 | 5.2 | |
The differences between the linear and non-linear models, when judged against the criteria set for system accuracy, show deviations to be small. The final step defined in NCCLS EP6-A to establish linearity is to check the repeatability for these measurements. Repeatability is expressed in absolute terms for concentrations below $75\mathrm{mg / dL}$ and relative terms above, in line with the system accuracy requirements defined in ISO 15197, which require less than $15\mathrm{mg / dL}$ error below this point and less than $20\%$ error above it.
| concentration | | Deviations from linearity, 1st - 3rd | | Repeatability | |
| --- | --- | --- | --- | --- | --- |
| mM | mg/dL | Absolute, mg/dL | % | SD mg/dL | CV % |
| 33.3 | 600 | | 2.98 | | 2.67 |
| 29.3 | 527 | | 0.19 | | 3.32 |
| 25.2 | 454 | | -1.75 | | 0.81 |
| 21.2 | 382 | | -2.83 | | 1.51 |
| 17.2 | 309 | | -2.99 | | 1.53 |
| 13.1 | 236 | | -2.16 | | 1.44 |
| 9.1 | 163 | | -0.08 | | 3.48 |
| 5.0 | 91 | | 4.30 | | 2.13 |
| 1.47 | 26.5 | 5.3 | | 1.5 | |
| 0.99 | 17.8 | 5.2 | | 1.4 | |
Given the small deviations from linearity and the tight repeatability, the system is considered to be linear across its full Test Range.
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# Summary of linearity
For measurement of plasma glucose concentrations in whole blood by the AgaMatrix Liberty Blood Glucose Monitoring System the method has been demonstrated to be linear from $20\mathrm{mg/dL}$ (1.1 mM) to $600\mathrm{mg/dL}$ (33.3 mM), within the accuracy limits of $4.5\%$ above $75\mathrm{mg/dL}$ (4.2 mM) and $6\mathrm{mg/dL}$ (0.83 mM) below this point.
# Summary of system accuracy
The results for system accuracy for glucose concentrations between 20 and $75\mathrm{mg/dL}$ are tabulated below:
| Within ± 5mg/dL | Within ± 10mg/dL | Within ± 15mg/dL |
| --- | --- | --- |
| 2/6 (33 %) | 6/6 (100%) | 6/6 (100%) |
And the results for system accuracy for glucose concentrations between 75 and 600 mg/dL are:
| Readings | | | |
| --- | --- | --- | --- |
| Within ± 5% | Within ± 10% | Within ± 15% | Within ± 20% |
| 6/48 (13%) | 19/48 (40%) | 43/48 (90%) | 48/48 (100%) |
Combining these results gives $100\%$ of data within the required limits (within $\pm 15$ mg/dL of the results of the manufacturer's measurement procedure at glucose concentrations $< 75~\mathrm{mg / dL}$ and within $\pm 20\%$ at glucose concentrations $< 75~\mathrm{mg / dL}$).
# Success of the assessment
The plasma glucose concentration requirement, that the meter and test strip shall be able to test blood glucose levels between $20 - 600\mathrm{mg / dL}$ $(1.1 - 33.3\mathrm{mmol / L})$, has been satisfied.
The requirement for system accuracy defined in section 6.2.3 of the PRD and section 7.4 of ISO15197:2003 are met because $100\%$ of data recorded as part of the protocol falls within the required limits.
Linearity has been demonstrated according to the method defined in NCCLS EP6-A Evaluation of the Linearity of Quantitative Measurement Procedures: A Statistical Approach; Approved Guidelines.
c. Traceability, Stability, Expected values (controls, calibrators, or methods):
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The traceability of the AgaMatrix Liberty Blood Glucose Monitoring System is referenced to the YSI 2300 Stat Plus glucose analyzer. The YSI 2300 glucose reference method was used by AgaMatrix to calibrate the Liberty system to yield plasma equivalent glucose concentrations when measuring capillary whole blood samples. The YSI 2300 is also the reference method used in this study to assess the accuracy with which glucose results are obtained using the Liberty system.
The glucose standard is referenced to the National Institute of Standards and Technology (NIST) Standard Reference Material (SRM) 917A, NIST-certified volumetric glassware, and balances calibrated with NIST traceable mass standards.
Additional traceability of the Liberty Blood Glucose Monitoring System to the primary reference method for plasma glucose is accomplished by periodic analysis at AgaMatrix of NIST SRM 965a serum glucose controls (4 levels) which contain NIST-certified isotope dilution mass spectrometry target values. Data available at AgaMatrix demonstrate a high level of agreement between the methods. The precision of the YSI 2300 analyzer observed suring analyses of SRM 965a is typically between 0.5 to $2.0\%$ CV at all levels of glucose tested.
# d. Detection limit:
According to the sponsor High and Low blood samples were prepared to glucose concentrations slightly higher than that desired before being placed in the tonometer. The prepared samples had dropped to near the desired values by the time they had equilibrated, and were mixed to generate the desired range of $(20 - 600\mathrm{mg / dL})$ . Readings were taken on the Low sample first because it was already just beyond the limit of the meter's test range. However, when measuring the Low sample, the screen readings all displayed "LO", indicating values below $20\mathrm{mg / dL}$ , and values had to be recorded electronically off the meter. YSI measurements of the final sample properties confirmed the samples had values below the test range of the meter. The sponsor prepare a ninth sample by mixing aliquots from the Low and High blood sample, and reading were obtained as listed in the table below.
| Glucose reading on YSI | Sample | |
| --- | --- | --- |
| | Low readings | High readings |
| YSI white (mg/dL) | 19.2 | 604 |
| YSI black (mg/dL) | 20.5 | 592 |
| YSI average (mM) | 1.10 | 33.2 |
| Sample | Readings | | | | | | Comments |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | 1 | 2 | 3 | 4 | 5 | 6 | Numbers in |
| YSI 2300 | 19.2 | 604 | 19.2 | 604 | 19.2 | 604 | 19.2 |
| YSI 2300 | 20.5 | 592 | 20.5 | 592 | 20.5 | 592 | 19.2 |
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| Low | Lo (19) | Lo (16) | Lo (19) | Lo (16) | Lo (18) | Lo (17) | parentheses recorded off meter |
| --- | --- | --- | --- | --- | --- | --- | --- |
| 7 | 140 | 139 | 137 | 145 | 134 | 147 | |
| 3 | 417 | 408 | 412 | 414 | 410 | 415 | |
| 8 | 84 | 86 | 88 | 84 | 87 | 88 | |
| 5 | 269 | 276 | 266 | 277 | 273 | 272 | |
| High | 551 | 573 | 579 | 552 | 554 | 585 | |
| 2 | 459 | 473 | 441 | 457 | 485 | 472 | |
| 6 | 200 | 201 | 203 | 195 | 202 | 202 | |
| 4 | 334 | 329 | 339 | 325 | 329 | 328 | |
| 9 | 21 | Lo (19) | 22 | Lo (19) | Lo (19) | 22 | Sample 9 prepared from Low and High |
Detection Limit has been determined as 20-600 mg/dL.
e. Analytical specificity:
According to the sponsor data was analyzed for chemical interference according to the guidelines given by NCCLS document EP7-A or equivalent apply.
**Interference requirements:**
Interference from bilirubin shall be <10% at a level of 15 mg/dL of bilirubin
Interference from uric acid shall be <10% at a level of 9 mg/dL uric acid.
Interference from acetaminophen shall be <10% at a level of 10 mg/dL acetaminophen.
Interference from triglycerides shall be <10% at a level of 500 mg/dL triglycerides.
Interference from ascorbic acid shall be <10% at a level of 5 mg/dL ascorbic acid.
**Results of Interference Testing**
The bilirubin interference requirement is satisfied for both conjugated and unconjugated bilirubin.
The uric acid interference requirement is satisfied.
The acetaminophen interference requirement is satisfied.
The Triglyceride interference requirement is satisfied.
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The ascorbic acid interference requirement is not satisfied.
* Based on the results of the ascorbic acid interference test, the results indicate that the maximum level of ascorbic acid interference that may be tolerated to result in at most 10% bias is 2.0 mg/dL at a glucose level of 85 mg/dL. The recommendation based on this test is to change the Product Requirement Document (PRD) to reflect that the maximum level of ascorbic acid interference that should be claimed is 2.0 mg/dL.
f. Assay cut-off:
Not Applicable for this type of device.
2. Comparison studies:
a. Method comparison with predicate device:
According to the sponsor the lay user blood glucose results obtained with the Liberty System were compared to the Health Care Provider (HCP) results obtained with the Liberty System and linear regression analysis was performed. The number of data points (n), the slope and its 95% confidence interval (95%CI), the y-intercept and its 95% confidence interval, the standard error of the estimate (Sy.x), and the correlation coefficient (r) are summarized for all three sites in the table below.
In a similar manner, the lay user blood glucose results obtained with the Liberty System were compared to the YSI reference method results, and the HCP results obtained with the Liberty System were also compared to the YSI reference results. Linear regression analyses were performed and the results for both comparisons at each of the three sites. The table below was expanded to include range of x-value (YSI) and range of y-values (Liberty) for all method comparisons. All the comparison data were for samples taken from the finger.
Summary of Method Comparisons and Linear Regression Data
| Lot # | Comparison | n | Slope (95% CI) | y-Int (95% CI) | Sy.x | r | Range of x-values mg/dL | Range of y-values mg/dL |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| A | Lay user vs. HCP | 60 | 0.97 (0.93 to 1.01) | 2.3 (-5.1 to 9.8) | 13.7 | 0.989 | 77-549 | 72-555 |
| | HCP vs. YSI ref. | 57 | 1.01 (0.97 to 1.06) | -1.4 (-9.8 to 7.0) | 15.1 | 0.987 | 63-487 | 77-549 |
| | Lay user vs. YSI ref. | 58 | 1.00 (0.0.96 to 1.05) | -1.4 (-10.3 to 7.5) | 16.1 | 0.985 | 63-487 | 72-555 |
| B | Lay user vs. HCP | 53 | 1.01 (0.98 to 1.05) | -2.29 (-9.0 to 4.4) | 11.1 | 0.993 | 66-477 | 56-505 |
| | HCP vs. YSI ref. | 51 | 0.92 (0.0.88 to 0.96) | 11.9 (4.4 to 19.4) | 12.7 | 0.990 | 57-535 | 66-477 |
| | Lay user vs. YSI ref. | 51 | 0.94 (0.91 to 0.97) | 8.14 (2.8 to 14.0) | 9.84 | 0.994 | 57-535 | 56-505 |
| C | Lay user vs. HCP | 53 | 1.01 (0.96 to 1.05) | 3.59 (-5.5 to 12.7) | 14.3 | 0.986 | 44-388 | 42-383 |
| | HCP vs. YSI ref. | 51 | 0.89 (0.85 to 0.94) | 9.13 (0.50 to 11.7) | 13.5 | 0.987 | 52-424 | 44-388 |
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The user study method comparison data for the three clinical sites was expanded to include range of x-values (YSI) and range of y-values (Liberty) for all method comparisons. All the comparison data were for samples taken from the finger.
Summary of combined user study method comparisons and linear regression data
| Lot # | Comparison | n | Slope (95% CI) | y-Int (95% CI) | Sy.x | r | Range of x-values mg/dL | Range of y-values mg/dL |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| A, B, C, | Lay user vs. HCP | 166 | 0.99 (0.97 to 1.02) | 1.42 (-3.08 to 5.93) | 13.4 | 0.989 | 44-549 | 42-555 |
| | HCP vs. YSI ref. | 159 | 0.94 (0.92 to 0.97) | 6.53 (1.45 to 11.6) | 15.1 | 0.985 | 52-535 | 44-549 |
| | Lay user vs. YSI ref. | 160 | 95 (0.92 to 0.97) | 5.83 (0.97 to 10.7) | 14.5 | 0.987 | 52-535 | 42-555 |
b. Matrix comparison:
Liberty Glucose from Palm by User vs. Liberty Glucose from Fingertip by HCP
Alternate site comparisons studies obtained by the lay users on blood samples taken from the palm of the hand were compared to glucose results obtained by Health Care Provider (HCP) on blood samples taken from the fingertip. It was found that 98% of the results obtained by users on blood samples taken from the palm of their hands (51/52*) were within the clinically accurate zone A on consensus error grid analysis when compared to the results obtained by (HCP) on blood taken from the fingertip. The remaining result fell into the clinically acceptable zone B.
Linear regression analysis was performed and the linear regression equation and 95% confidence interval for the slope and y-intercept for this Liberty user palm vs. Liberty HCP fingertip comparison data are:
$$y = 0.98x$$ (0.92 to 1.03) + 6.8 (-2.4 to 16.1), with Sy.x = 14.7 and r = 0.982.
There was a between method outlier detected in this data set according to NCCLS EP9-A2: for the sample of ID# 14 the user palm and HCP finger results were 194 mg/dL and 293 mg/dL respectively. The point was excluded from the linear regression but was included in the consensus error grid analysis.
Liberty Glucose from Palm by HCP vs. Liberty Glucose from Fingertip by HCP
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Glucose results obtained by a HCP on blood samples taken from the palm of the hand were compared to the glucose results obtained by a HCP on blood samples taken from the fingertip. It was found that 96% of the results obtained by the HCP on blood samples taken from the palm of the hand (50/52*) were within the clinically accurate zone A on consensus error grid analysis when compared to the results obtained by the HCP on blood obtained from the fingertip. The 2 remaining results fell into the clinically acceptable zone B. Linear regression analysis was performed and the linear regression equation and 95% confidence interval for the slope and y-intercept for this Liberty HCP palm vs. Liberty HCP fingertip comparison data are:
$$
y = 0.97 x (0.89 \text{ to } 1.05) + 5.0 (-7.8 \text{ to } 17.7), \text{ with } Sy.x = 16.0 \text{ and } r = 0.962.
$$
There is missing data for one sample in this data set: for one sample (ID# 10) an insufficient sample was applied to the test strip as visually detected for the HCP palm measurement and on a second attempt an Er4 message was obtained for this HCP palm result. The Er4 message is displayed when insufficient blood is applied to the test strip.
# Liberty Glucose from Palm by Lay User vs. YSI Fingertip by HCP
Glucose results obtained by lay users on blood samples taken from the palm of the hand were compared to the plasma glucose results obtained using the YSI reference method by an HCP on blood samples taken from the fingertip. It was found that 96% of the Liberty results obtained by the user on blood samples taken from the palm of the hand (48/50) were within the clinically accurate zone A on consensus error grid analysis when compared to the YSI plasma glucose results obtained by an HCP on blood taken from the fingertip. The remaining 2 results fell into the clinically acceptable zone B. Linear regression analysis was performed and the linear regression equation and 95% confidence intervals for the slope and y-intercept for this Liberty user palm vs. YSI plasma glucose from fingertip comparison data are:
$$
y = 0.95x (0.90 \text{ to } 1.01) + 9.3 (-0.8 \text{ to } 19.3), \text{ with } Sy.x = 16.0 \text{ and } r = 0.979.
$$
There is missing data for three samples in this data set: for two samples (ID# 21 and ID# 40) there was insufficient sample for YSI measurement; for one sample (ID# 8) an ER4 message was obtained for the user palm result. The ER4 message is displayed when insufficient blood is applied to the test strip.
# Liberty Palm by HCP vs. YSI Fingertip
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Glucose results obtained by the HCP on blood samples taken from the palm of the hand were compared to the plasma glucose results obtained using the YSI reference method by a HCP on blood samples taken from the fingertip. It was found that 98% of the Liberty results obtained by the HCP on blood samples taken from the palm of the hand (49/50*) were within the clinically accurate zone A on consensus error grid analysis when compared to the YSI plasma glucose results by an HCP on blood taken from the fingertip. The remaining 1 result fell into the clinically acceptable zone B. Linear regression analysis was performed** and the linear regression equation and 95% confidence intervals for the slope and y-intercept for this Liberty HCP Palm vs. YSI plasma glucose from fingertip comparison data are:
$$
y = 0.96x (0.89 \text{ to } 1.04) + 6.4 (-6.4 \text{ to } 19.1), \text{ with } Sy.x = 15.9 \text{ and } r = 0.963.
$$
**While there were no statistical outliers in this data set, inspection of the data reveals that one data point is influential on the linear regression analysis. This point (ID# 5: 409 mg/dL for HCP palm and 526 mg/dL for YSI fingertip) had a higher glucose concentration than all of the rest of the points in the data set (next highest glucose concentration for YSI fingertip was 278 mg/dL). It was determined that the better estimate of slope and intercept for this comparison data would be obtained by exclusion of this data point from the linear regression analysis. This point was included in the error grid analysis. See summary chart below.
## Liberty Clinical Summary Alternate Site (Palm) Study
| Comparison | n | Slope (95% CI) | y-Int (95% CI) | Sy.x | r | Range of x-values mg/dL | Range of y-values mg/dL |
| --- | --- | --- | --- | --- | --- | --- | --- |
| KeyNote Palm by User vs. KeyNote Fingertip by HCP | 51 | 0.98 (0.92 to 1.03) | 6.8 (-2.4 to 16.1) | 14.7 | 0.982 | 62-537 | 69-521 |
| KeyNote Palm by HCP vs. KeyNote Fingertip by HCP | 51 | 0.97 (0.89 to 1.05) | 5.0 (-7.8 to 17.7) | 16.0 | 0.962 | 62-293 (537*) | 43-292 (409*) |
| KeyNote Palm by User vs. YSI Fingertip | 50 | 0.95 (0.90 to 1.01) | 9.3 (-0.8 to 19.3) | 16.0 | 0.979 | 59-526 | 69-521 |
| KeyNote Palm by HCP vs. YSI Fingertip | 49 | 0.96 (0.89 to 1.04) | 6.4 (-6.4 to 19.1) | 15.9 | 0.963 | 61-278 (526*) | 43-292 (409*) |
## 3. Clinical studies:
a. Clinical Sensitivity:
Not Applicable
b. Clinical specificity:
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Not Applicable
c. Other clinical supportive data (when a. and b. are not applicable):
4. Clinical cut-off:
Not Applicable
5. Expected values/Reference range:
The Liberty Meter and Target ranges are referenced from literature source: ADA Clinical Practice Recommendations 2003.
| Time of Day | Glucose Ranges for People Without Diabetes (mg/dL) |
| --- | --- |
| Before Meals | 70-110 |
| 1 Hour After Meals | Less Than 160 |
| 2 Hours After Meals | Less Than 120 |
| Between 2 am and 4 am | Greater Than 70 |
N. Instrument Name:
Liberty™ Blood Glucose Monitoring System
O. System Descriptions:
1. Modes of Operation:
The Liberty™ Blood Glucose Monitoring System used with the Liberty™ Test Strips is a single use test system used to quantitatively measure blood glucose levels, also known as blood sugar, from fresh capillary whole blood samples taken from the fingertips or the palm. The Liberty™ Test Strips are for in vitro diagnostic use only. The Liberty™ Blood Glucose Monitoring System is not intended for use with neonates.
2. Software:
FDA has reviewed applicant's Hazard Analysis and software development processes for this line of product types:
Yes ☐ X ☐ or No ☐
3. Specimen Identification:
The Liberty™ meter stores the last 300 test results with time and date. If the memory is full, the oldest test result will be deleted and a new test result will be stored in its place. The Liberty™ Meter calculates averages of all the test results during breakfast, lunch, dinner and bedtime. Control solution, Hi and Lo test results, out-of-temperature range
{17}
results, and results without a valid date/time are not included in the average. This system does not provide sample identification, but provides real time single use results to the user. The Liberty™ Meter can provide 14, 30, and 90 Day Trend Graphs.
Breakfast averages include glucose measurements between 4:00 am and 10:00 am, lunch averages are between 10:00 am and 4:00 pm, dinner averages are between 4:00 pm and 10:00 pm, and bedtime averages are between 10:00 pm and 4:00 am.
4. Specimen Sampling and Handling:
Testing on Fingertips – Wash hands with warm soapy water and dry before every glucose test. Lightly touch the lancing device against the site to be lanced. Press the release button. Gently squeeze the lanced site, and wipe away the first blood drop that appears. Squeeze you finger until a second small blood drop forms. Bring test strip to blood sample. The meter now display the blood drop and test strip symbols. This means your Liberty™ System is now ready for you to apply blood. Immediately bring the Liberty™ Test Strip to the blood sample. The test strip fills from the tip. Do not try to smear blood or the top surface.
The Liberty™ Test Strip acts like a sponge and draws the blood into the test strip through the sample area. The visual fill window of the Liberty™ Test Strip will now turn red. If the volume is enabled in SET Options, the meter will beep once when blood is applied to the Liberty™ Test Strip. On the display, blood drop symbols appear on the test strip symbol to indicate that blood is filling the Liberty™ Test Strip. The beep (if the volume is enabled in SET Options) or the moving dot bar indicates that you can remove your finger from the Liberty™ Test Strip.
As the meter is calculating your results, the 1-2-3 symbol and the graphing area will progressively appear until your results are displayed. Your test is completed when your blood glucose test result with time and date is shown on the display. If the volume is enabled in SET Options, you will hear a beep. Your test result is now stored in the memory.
Testing on Your Palm – Wash hands with warm soapy water and dry before every glucose test. Prepare the lancing device by replacing the gray lancing device cap with the clear cap. You may need to adjust the depth setting of the lancing device to produce a sufficient blood drop. To increase the blood flow in your palm, rub the area at the base of your thumb. Press the tip of the clear cap against your skin on the palm of your hand (at the base of the thumb). Hold the tip to your palm for a few seconds before pressing the release button. After lancing, hold the lancing device against your skin until a blood droplet forms. Make sure the blood droplet is large enough to completely fill the visual fill indicator window of the test strip.
IMPORTANT: When testing on the palm (at the base of the thumb), you may require 28 gauge Liberty™ Lancets in order to obtain enough blood to perform a test. Consult your physician for a recommendation.
18
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5. Calibration:
Lot Specific adjusted calibration with pre-set test strip code number.
6. Quality Control:
Shake the control solution bottle. Discard the first drop of control solution and wipe of the bottle tip to ensure a good sample. Gently wet the sample area of the Liberty™ Test Strip with the control solution. The Liberty™ System will automatically detect if a test is performed with Liberty™ Control Solution. When the control solution is applied, the visual fill window on the Liberty™ Test Strip turns blue.
If the volume is enabled in DET Options, the meter will beep once when you should remove the control solution bottle from the tip of the Liberty™ Test Strip. On the Liberty™ Meter display, drop symbols appear on the test strip symbol to indicate that the control solution is filling the Liberty™ Test Strip. The result will appear on the display screen and, if the volume is enabled, your meter will beep once. The word “control” will also appear on the display screen. Compare the results of our control solution test to the range printed on the Liberty™ Test Strip vial label. Your control solution results should fall within this range. The control solution test result is stored in memory. Two levels of control material are available.
P. Other Supportive Instrument Performance Characteristics Data Not Covered In The "Performance Characteristics" Section above:
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.
19
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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.