The Element™ Lite Blood Glucose Monitoring System is intended for the quantitative measurement of glucose in fresh capillary whole blood from the fingertips, ventral palm, dorsal hand, upper arm, forearm, calf and thigh. The Element™ Lite Blood Glucose Monitoring System is intended to be used by a single patient and should not be shared. The Element™ Lite Blood Glucose Monitoring System is intended for testing outside the body (in vitro diagnostic use) by people with diabetes at home as an aid to monitor the effectiveness of diabetes control. It should not be used for the diagnosis of or screening of diabetes or for neonatal use. Alternative site testing should be done only during steady-state times (when glucose is not changing rapidly). The Element™ Lite Test Strips are for use with the Element™ Lite Meter to quantitatively measure glucose in fresh capillary whole blood. Fresh capillary whole blood samples may be drawn from the fingertips, ventral palm, dorsal hand, upper arm, forearm, calf and thigh. The Element™ Lite Control Solutions are for use with the Element™ Lite Meter and Element™ Lite Test Strips to check that the meter and test strips are working together properly and the test is performing correctly.
Device Story
System measures glucose concentration in fresh capillary whole blood; utilizes electrical current generated in test strip; meter processes current to provide quantitative glucose reading. Used at home by patients with diabetes to monitor glycemic control. Includes meter, test strips, control solutions, lancing device, and lancets. Healthcare providers review results to assess diabetes management effectiveness. Benefits include convenient, rapid self-monitoring of blood glucose levels.
Clinical Evidence
User performance study conducted at three clinical sites with 150-170 participants. Compared lay user results from multiple sites (fingertip, palm, hand, arm, forearm, calf, thigh) against YSI 2300 reference method. Results showed 100% of samples within ±20% of reference for glucose ≥75 mg/dL across all sites. Precision studies (within-run and intermediate) demonstrated %CV between 1.4% and 3.7%.
Technological Characteristics
Amperometric glucose oxidase biosensor. Dimensions: 54x82x18mm; Weight: 41g. Power: two 3.0V CR2032 lithium batteries. Connectivity: wired data transfer to GlucoDiary system. Auto-coding via strip circuit. Operating range: 50-104°F, 10-90% RH. Traceable to NIST SRM 917b.
Indications for Use
Indicated for quantitative blood glucose measurement in people with diabetes. For home use by a single patient. Samples: fresh capillary whole blood from fingertips, ventral palm, dorsal hand, upper arm, forearm, calf, and thigh. Contraindications: not for diagnosis or screening of diabetes; not for neonatal use; alternative site testing restricted to steady-state conditions.
Regulatory Classification
Identification
A glucose test system is a device intended to measure glucose quantitatively in blood and other body fluids. Glucose measurements are used in the diagnosis and treatment of carbohydrate metabolism disorders including diabetes mellitus, neonatal hypoglycemia, and idiopathic hypoglycemia, and of pancreatic islet cell carcinoma.
Special Controls
*Classification.* Class II (special controls). The device, when it is solely intended for use as a drink to test glucose tolerance, is exempt from the premarket notification procedures in subpart E of part 807 of this chapter subject to the limitations in § 862.9.
Predicate Devices
Element™ Blood Glucose Monitoring System (K113670)
Submission Summary (Full Text)
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# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY ASSAY AND INSTRUMENT COMBINATION TEMPLATE
A. 510(k) Number:
k133045
B. Purpose for Submission:
New device
C. Measurand:
Capillary whole blood glucose
D. Type of Test:
Quantitative Amperometric assay (Glucose Oxidase)
E. Applicant:
Infopia Co., Ltd
F. Proprietary and Established Names:
Element Lite Blood Glucose Monitoring System
G. Regulatory Information:
1. Regulation section:
21 CFR 862.1345, Glucose test system
21CFR 862.1660, Quality control material (assayed and unassayed)
2. Classification:
Class II
3. Product code:
NBW, System, Test, Blood Glucose, Over The Counter
CGA, Glucose Oxidase, Glucose
JJX, Quality control material (assayed and unassayed)
4. Panel:
Clinical Chemistry (75)
H. Intended Use:
1. Intended use(s):
See indications for use below.
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2
# 2. Indication(s) for use:
The Element™ Lite Blood Glucose Monitoring System is intended for the quantitative measurement of glucose in fresh capillary whole blood from the fingertips, ventral palm, dorsal hand, upper arm, forearm, calf and thigh. The Element™ Lite Blood Glucose Monitoring System is intended to be used by a single patient and should not be shared. The Element™ Lite Blood Glucose Monitoring System is intended for testing outside the body (in vitro diagnostic use) by people with diabetes at home as an aid to monitor the effectiveness of diabetes control. It should not be used for the diagnosis of or screening of diabetes or for neonatal use. Alternative site testing should be done only during steady-state times (when glucose is not changing rapidly).
The Element™ Lite Test Strips are for use with the Element™ Lite Meter to quantitatively measure glucose in fresh capillary whole blood. Fresh capillary whole blood samples may be drawn from the fingertips, ventral palm, dorsal hand, upper arm, forearm, calf and thigh.
The Element™ Lite Control Solutions are for use with the Element™ Lite Meter and Element™ Lite Test Strips to check that the meter and test strips are working together properly and the test is performing correctly.
# 3. Special conditions for use statement(s):
- The single-patient use system is for single-patient use only and should not be shared.
- Not for neonatal use
- Not for screening or diagnosis of diabetes mellitus
- Not for use on critically ill patients, patients in shock, dehydrated patients or hyper-osmolar patients
- Alternative site testing (AST) testing should only be done during steady-state times (when glucose is not changing rapidly).
- AST should not be used to calibrate continuous glucose monitors (CGMs).
- AST should not be used for insulin dose calculations.
# 4. Special instrument requirements:
The Element™ Lite Blood Glucose Meter
# I. Device Description:
The Element Lite Blood Glucose Monitoring System consists of an Element Lite Blood Glucose meter, Element Lite Blood Glucose Test Strips, Element Lite Blood Glucose Control Solutions, a user manual, logbook, carrying bag, a quick reference guide, and lancing device with reusable lancets.
The Element Lite Test Strips are identical to the predicate Element Test Strips with the exception of the size of the strip. The Element Lite Test Strips size is $5\mathrm{mm}$ (width) $\times 27\mathrm{mm}$ (length) were as the predicate is $6\mathrm{mm}$ (width) $\times 33\mathrm{mm}$ (length). The Element Lite Blood Glucose control solutions are available in three
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concentrations: Level 1, Level 2 and Level 3. Level 2 is included in the system kit. Level 1 and Level 3 are purchased separately. The control solutions were previously cleared and stability and value assignment was previously established in k113670. The brand name of the glucose control solution has been updated to Element Lite Blood Glucose Monitoring Solution.
# J. Substantial Equivalence Information:
1. Predicate device name(s):
Element Blood Glucose Monitoring System
2. Predicate K number(s):
k113670
3. Comparison with predicate:
| Similarities and Differences of the Blood Glucose System | | |
| --- | --- | --- |
| Item | Element Blood Glucose Monitoring System, (k113670) | Candidate Device Element Lite Blood Glucose Monitoring System |
| Similarities | | |
| Intended Use/Indications for Use | It is intended to be used for quantitative measurement of glucose in fresh capillary whole blood as an aid to monitor the effectiveness of diabetes control in people with diabetes. | Same |
| Detection method | Amperometry | Same |
| Enzyme | Glucose Oxidase | Same |
| Calibration Coding | Auto coding | Same |
| Test range | 20-600 mg/dL | Same |
| Hematocrit range | 20-60% | Same |
| Sample type | Capillary whole blood | Same |
| Sample sites | Fingertip, ventral palm, dorsal hand, upper arm, forearm, calf and thigh. | Same |
| Sample volume | 0.3 μL | Same |
| Sample test time | 3 seconds | Same |
| Memory Capacity | 365 Tests | Same |
| Battery Type | Two 3.0 V CR2032 lithium batteries | Same |
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| Differences | | |
| --- | --- | --- |
| Meter size | 52 X 84.5 X 17 | 54 X 82 X 18 |
| Meter Weight | 48g | 41g |
| Test Strip size * | 6 mm (width) X 33 mm (length) | 5 mm (width) X 27 mm (length) |
K. Standard/Guidance Document Referenced (if applicable):
- ISO 15197: In vitro diagnostic test systems - Requirements for blood-glucose monitoring systems for self-testing in managing diabetes mellitus. (2003)
- ISO 13640 Stability testing of in vitro diagnostic medical devices (2002)
- CLSI EP05-A2 Evaluation of precision performance of quantitative measurement method; approved guideline (2004)
- CLSI EP06-A Evaluation of the Linearity Quantitative Analytical Method; proposed guideline (2005)
- CLSI EP07-A2 Interference Testing in Clinical Chemistry; approved guideline (2005)
- CLSI EP09-A2-IR Method comparison and bias estimation using patient samples; approved guideline (2002)
L. Test Principle:
The glucose measurement is based on electrical potential caused by the reaction of glucose with the reagents contained on the strip's electrodes. The glucose in the sample is oxidized by the enzyme glucose oxidase, and the current resulting from this enzymatic reaction is measured and converted to glucose concentration by the meter. The magnitude of the current is proportional to the concentration of glucose in the sample.
M. Performance Characteristics (if/when applicable):
1. Analytical performance:
a. Precision/Reproducibility:
Within-run (Repeatability)
Venous blood from an EDTA anticoagulant tube was adjusted with an aqueous glucose solution to five concentrations (40 mg/dL, 83 mg/dL, 133 mg/dL, 208 mg/dL, 338 mg/dL) across the claimed range and tested on three lots of test strips on 10 meters. Concentrations were established on YSI 2300. Ten replicates were tested per meter, test strip lot and glucose concentration. Results are summarized below:
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| Glucose Level (mg/dL) | n | Strip Lot | Mean (mg/dL) | SD (mg/dL) | %CV |
| --- | --- | --- | --- | --- | --- |
| 40 | 100 | 1 | 38 | 1.4 | 3.7 |
| | | 2 | 39 | 1.4 | 3.6 |
| | | 3 | 41 | 1.2 | 2.9 |
| 83 | 100 | 1 | 79 | 1.8 | 2.3 |
| | | 2 | 78 | 2.3 | 2.9 |
| | | 3 | 81 | 2.4 | 3.0 |
| 133 | 100 | 1 | 142 | 3.4 | 2.4 |
| | | 2 | 143 | 3.5 | 2.4 |
| | | 3 | 140 | 3.3 | 2.4 |
| 208 | 100 | 1 | 206 | 3.4 | 1.7 |
| | | 2 | 210 | 2.9 | 1.4 |
| | | 3 | 209 | 3.3 | 1.6 |
| 338 | 100 | 1 | 342 | 5.3 | 1.5 |
| | | 2 | 339 | 4.7 | 1.4 |
| | | 3 | 346 | 5.0 | 1.4 |
## Intermediate Precision
The intermediate precision evaluation was performed with three concentrations of control solution (46 mg/dL, 105 mg/dL, and 308 mg/dL). Ten replicates per day were performed on three lots of test strip, used on ten meters, over a 20 day period. The control sample value was determined using YSI 2300 Auto Analyzer. Results are summarized below:
| Glucose Level (mg/dL) | n | Strip Lot | Mean (mg/dL) | SD (mg/dL) | %CV |
| --- | --- | --- | --- | --- | --- |
| 46 | 600 | 1 | 47 | 1.5 | 3.2 |
| | | 2 | 44 | 1.3 | 3.0 |
| | | 3 | 45 | 1.3 | 2.9 |
| 105 | 600 | 1 | 112 | 4.1 | 1.7 |
| | | 2 | 112 | 1.9 | 1.9 |
| | | 3 | 112 | 2.1 | 1.9 |
| 308 | 600 | 1 | 317 | 6.2 | 2.0 |
| | | 2 | 317 | 6.2 | 2.0 |
| | | 3 | 308 | 6.2 | 1.8 |
## b. Linearity/assay reportable range:
The sponsor performed linearity studies using adjusted venous blood samples with 14 different glucose concentrations to include the following: 19.8, 28.9, 47.1, 56.2, 65.3, 83.6, 92.7, 165.6, 238.4, 311.3, 384.3, 457.1, 529.9 and 602.8 mg/dL. For each concentration, 15 consecutive tests (with 5 measurements per lot) by Element Lite Blood Glucose Monitoring System and 2 measurements with the YSI 2300 Auto analyzer were performed respectively. The resulting
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data was compared and the linear regression analyses were as follows:
Lot 1: y = 1.0029x -2.106, R² = 0.9997
Lot 2: y = 0.9999x -1.863, R² = 0.9997
Lot 3: y = 1.0036x -1.816, R² = 0.9996
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 Element Lite Blood Glucose Monitoring System is traceable to the NIST SRM 917b reference material. The reference instrument used is the YSI 2300 Glucose analyzer and it is calibrated by YSI 2747 Glucose Standard which is a NIST traceable glucose standard.
Test Strip Stability:
The sponsor provided real-time and accelerated studies to verify the closed- and open- vial stability of the test strips. The stability studies were reviewed and found to be acceptable. The closed-vial claim is 24 months when stored at 36-86°F at 20 -60 % relative humidity. The open-vial stability claim is 3 months when stored at 36-86°F at 20-60 % relative humidity. The test strips should not be frozen.
Control Solution Value Assignment and Stability:
The control solutions were previously cleared and stability and value assignment was previously established in k113670. The controls are prepared at three target concentrations gravimetrically and the glucose concentrations are verified with the YSI reference method. The expected values are verified for each new lot of strips. The brand name of the glucose control solution has been updated to Element Lite Blood Glucose Monitoring Solution. The control solution can be stored once opened for up to three months at 46-86°F. The closed vial claim is 24 months from the manufactured date when stored at 46-86°F.
d. Detection limit:
See linearity study in Section M1b above.
e. Analytical specificity:
To assess potential interference the sponsor used venous whole blood samples adjusted to three glucose concentrations of 60 mg/dL and 115 mg/dL and 320
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mg/dL. Each of these samples was divided into a test pool and a control pool and each of the potential endogenous and exogenous interfering substances was added to the test pool. Each substance was tested at a minimum of two concentrations, normal/therapeutic and high/toxic concentrations. Each sample was analyzed in replicates of 5. The % difference between the test sample and the control sample was calculated. The results are summarized below:
| Potential Interfering Substance | Concentration at which no significant interference is observed (mg/dL) (typical conc) |
| --- | --- |
| Acetaminophen | 20 |
| Ascorbic acid | 6 |
| Bilirubin | 40 |
| Cholesterol | 500 |
| Creatinine | 5 |
| Dopamine | 0.09 |
| Ethanol | 400 |
| Galactose | 50 |
| Gentisic acid | 1.8 |
| Glutathione | 3 |
| Hemoglobin | 200 |
| Ibuprofen | 50 |
| Levo-Dopa | 13 |
| Maltose | 300 |
| Salicylic acid | 60 |
| Tetracycline | 1.5 |
| Tolbutamide | 65 |
| Tolazamide | 5 |
| Triglycerides | 3000 |
| Urea | 260 |
| Uric acid | 23 |
The following interference warnings are included in the labeling:
- Interferences: Acetaminophen, uric acid, ascorbic acid (vitamin C), and other reducing substances (when occurring in normal blood or normal therapeutic concentrations) do not significantly affect results. However, abnormally high concentrations in blood may cause inaccurately high results.
- Lipemic samples: Cholesterol up to 500 mg/dL or triglyceride up to 3000 mg/dL do not significantly affect the results. Values beyond these levels should be interpreted with caution.
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f. Assay cut-off: Not applicable.
## 2. Comparison studies:
a. Method comparison with predicate device:
A user performance study was performed to compare the lay user self-test results to the YSI method. The study was performed at three clinical sites and all participants were given the user manual in English with no further information or coaching provided. Participants were then asked to perform testing using the glucose meter. 150 participants performed testing by taking samples from the fingertip, dorsal hand, forearm, and calf. 170 participants performed testing by taking samples from the ventral palm, upper arm, and thigh. A technician then collected capillary blood from each participant for measurement on YSI. The range of glucose values tested was $58 - 519\mathrm{mg / dL}$. Three test strip lots were tested in the study. Participant results using the meter were compared to YSI and are summarized by sample site below:
### Fingerstick:
User performance results for glucose concentrations $< 75\mathrm{mg / dL}$
| Number of test results | Within ± 5 mg/dL | Within ± 10 mg/dL | Within ± 15 mg/dL |
| --- | --- | --- | --- |
| 13 | 7/13 (54%) | 12/13 (92 %) | 13/13 (100 %) |
User performance results for glucose concentrations $\geq 75\mathrm{mg / dL}$
| Number of test results | Within ± 5% | Within ± 10% | Within ± 15% | Within ± 20% |
| --- | --- | --- | --- | --- |
| 137 | 73/137 (53%) | 116/137 (85%) | 132/137 (96%) | 137/137 (100%) |
$$
y = 0.9971x - 2.7559, R^2 = 0.9845
$$
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# Ventral palm:
User performance results for glucose concentrations $< 75\mathrm{mg / dL}$
| Number of test results | Within ± 5 mg/dL | Within ± 10 mg/dL | Within ± 15 mg/dL |
| --- | --- | --- | --- |
| 23 | 16/23 (70%) | 21/23 (91%) | 23/23 (100%) |
User performance results for glucose concentrations $\geq 75\mathrm{mg / dL}$
| Number of test results | Within ± 5% | Within ± 10% | Within ± 15% | Within ± 20% |
| --- | --- | --- | --- | --- |
| 147 | 70/147 (48%) | 121/147 (82%) | 141/147 (96%) | 147/147 (100%) |
$$
y = 1.0078x + 5.9171, R^{2} = 0.995
$$
Dorsal hand:
User performance results for glucose concentrations $< 75\mathrm{mg / dL}$
| Number of test results | Within ± 5 mg/dL | Within ± 10 mg/dL | Within ± 15 mg/dL |
| --- | --- | --- | --- |
| 4 | 2/4 (50%) | 4/4 (100%) | 4/4 (100%) |
User performance results for glucose concentrations $\geq 75\mathrm{mg / dL}$
| Number of test results | Within ± 5% | Within ± 10% | Within ± 15% | Within ± 20% |
| --- | --- | --- | --- | --- |
| 146 | 62/146 (42%) | 111/146 (76%) | 140/146 (96%) | 146/146 (100%) |
$$
y = 0.9935x + 12.06, R^{2} = 0.9897
$$
Upper arm:
User performance results for glucose concentrations $< 75\mathrm{mg / dL}$
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| Number of test results | Within ± 5 mg/dL | Within ± 10 mg/dL | Within ± 15 mg/dL |
| --- | --- | --- | --- |
| 24 | 17/24 (71%) | 22/24 (92%) | 24/24 (100%) |
User performance results for glucose concentrations $\geq 75\mathrm{mg / dL}$
| Number of test results | Within ± 5% | Within ± 10% | Within ± 15% | Within ± 20% |
| --- | --- | --- | --- | --- |
| 146 | 73/146 (50%) | 118/146 (80%) | 143/146 (98%) | 146/146 (100%) |
$$
y = 0.9858x + 7.7528, R^{2} = 0.971
$$
Forearm:
User performance results for glucose concentrations $< 75\mathrm{mg / dL}$
| Number of test results | Within ± 5 mg/dL | Within ± 10 mg/dL | Within ± 15 mg/dL |
| --- | --- | --- | --- |
| 4 | 3/4 (75%) | 4/4 (100%) | 4/4 (100%) |
User performance results for glucose concentrations $\geq 75\mathrm{mg / dL}$
| Number of test results | Within ± 5% | Within ± 10% | Within ± 15% | Within ± 20% |
| --- | --- | --- | --- | --- |
| 146 | 61/146 (42%) | 112/146 (77%) | 139/146 (95%) | 146/146 (100%) |
$$
y = 0.9973x + 9.7365, R^{2} = 0.9893
$$
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Calf:
User performance results for glucose concentrations $< 75\mathrm{mg / dL}$
| Number of test results | Within ± 5 mg/dL | Within ± 10 mg/dL | Within ± 15 mg/dL |
| --- | --- | --- | --- |
| 4 | 1/4 (25%) | 4/4 (100%) | 4/4 (100%) |
User performance results for glucose concentrations $\geq 75\mathrm{mg / dL}$
| Number of test results | Within ± 5% | Within ± 10% | Within ± 15% | Within ± 20% |
| --- | --- | --- | --- | --- |
| 146 | 68/146 (47%) | 113/146 (77%) | 141/146 (97%) | 146/146 (100%) |
$\mathrm{y} = 0.9927\mathrm{x} + 10.093$ $\mathrm{R}^2 = 0.9876$
Thigh:
User performance results for glucose concentrations $< 75\mathrm{mg / dL}$
| Number of test results | Within ± 5 mg/dL | Within ± 10 mg/dL | Within ± 15 mg/dL |
| --- | --- | --- | --- |
| 24 | 17/24 (71%) | 22/24 (92%) | 24/24 (100%) |
User performance results for glucose concentrations $\geq 75\mathrm{mg / dL}$
| Number of test results | Within ± 5% | Within ± 10% | Within ± 15% | Within ± 20% |
| --- | --- | --- | --- | --- |
| 146 | 98/146 (67%) | 130/146 (89%) | 142/146 (97%) | 146/146 (100%) |
$\mathrm{y} = 1.0010\mathrm{x} + 0.7741$ $\mathrm{R}^2 = 0.985$
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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: Not applicable.
4. Clinical cut-off: Not applicable
5. Expected values/Reference range:
| Time of day | People without diabetes |
| --- | --- |
| Fasting and before meals | <100 mg/dL |
| 1-2 hours after meals | <140 mg/dL |
Reference: American Diabetes Association. Diabetes Care Vol 36 (Supp. 1) January 2013, p S1-S100.
N. Instrument Name: The Element Lite Blood Glucose meter
O. System Descriptions:
1. Modes of Operation:
Each test strip is single use and requires a sample volume of $0.3\mu \mathrm{L}$
Does the applicant's device contain the ability to transmit data to a computer, webserver, or mobile device?
Yes ☐ or No ☑
The proposed device transmits data to the GlucoDiary data management system, which was previously cleared in k130181.
Does the applicant's device transmit data to a computer, webserver, or mobile device using wireless transmission?
Yes ☐ or No ☑
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13
2. Software:
FDA has reviewed applicant’s Hazard Analysis and software development processes for this line of product types:
Yes ☐ X or 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 glucose test is intended to be used with capillary whole blood from the finger ventral palm, dorsal hand, upper arm, forearm, calf and thigh. The whole blood sample is applied directly to the test strip by capillary action.
5. Calibration:
The meter is autocoded, therefore no coding is required by the user. The coding circuit printed on the test strip is consistent with the code in the meter and the meter detects the code of the strip.
6. Quality Control:
Three levels of aqueous glucose control solutions are available with this system (Level 1, Level 2, and Level 3). Control solution Level 2 is provided with the kit. An acceptable range for each control level is printed on the test strip vial label. Recommendations on when to test the control materials are provided in the labeling and what the user should do 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:
Venous blood samples were obtained, centrifuged, and divided into plasma and red blood cells in order to adjust the hematocrit to obtain the following 5 percentage: 20%, 30%, 42%, 50%, 60%. The concentration of glucose was adjusted in each hematocrit percentage to the following 10 levels: 23, 42, 70, 116, 175, 256, 372, 441, 513, 550 mg/dL through either glycolysis or analytical spiking. Each sample was tested 15 times using 15 different Element Lite Blood Glucose Monitoring Systems. The plasma glucose value of sample was measured by YSI 2300 analyzer and the hematocrit of the sample was measured by NOVA STAT profile. The % biases relative to YSI were acceptable within the claimed hematocrit range of 20 - 60%.
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14
2) **Altitude study:**
To evaluate the effects of altitude on the Element Lite Blood Glucose Monitoring System, 1 test strip lot was tested on 5 meters using venous from 18 donors that was spiked or glycolized to nine glucose concentrations (41, 64, 115, 226, 264, 355, 406, 449, 501 mg/dL). The samples were tested at 10,000 feet in an altitude chamber which adjusts both pO2 level and pressure, and at sea level (0 feet) as a control. Results obtained were compared with those obtained with the reference method (YSI). The results demonstrate acceptable bias to the reference to support the claims in the labeling that altitudes up to 10,000 feet have no significant effect on blood glucose measurements from the BGMS.
3) **Sample volume study:**
The sponsor performed a study to verify the minimum test strip sample volume requirement for the Element Lite Blood Glucose Meter. Blood samples were tested at four sample volumes (0.25, 0.3, 0.4, and 0.5), using five concentrations of adjusted and unaltered blood samples (39, 65, 131, 254, and 461 mg/dL) and values obtained were compared to YSI values. Results support the claimed minimum sample volume of 0.3μL
4) **Temperature and humidity studies:**
Temperature and humidity operating conditions were evaluated for temperatures ranging from 50-104°F (10-40°C) and relative humidity from 10% to 90% in the following combinations
10°C, RH 10% (lowest temperature / lowest humidity)
40°C, RH 10% (highest temperature / lowest humidity)
10°C, RH 90% (lowest temperature / highest humidity)
40°C, RH 90% (highest temperature / highest humidity)
Protocol and acceptance criteria were provided and found to be acceptable. The results supported the Sponsor’s claimed operating temperature from 50-104°F and relative humidity range from 10% to 90%.
5) **Infection Control Studies:**
The Element Lite Blood Glucose Monitoring System is intended for single-patient use only. CaviWipesTM Disinfecting Towelettes with EPA registration number 46781-8 were validated demonstrating complete inactivation of live virus for use with the meter. The sponsor also demonstrated that there was no change in performance or in the external materials of the meter after 1,095 cleaning and disinfection cycles (one cycle includes one cleaning wipe plus one disinfecting wipe) to simulate cleaning and disinfecting once per day for 3 years of single-patient use. Labeling was reviewed for adequate instructions for the validated cleaning and disinfection procedures.
6) **EMC testing:**
The subject device is the same as the predicate device, ElementTM Blood Glucose Monitoring System (k113670), in rated current and PCB structure. Electromagnetic compatibility and electrical safety were established in k113670.
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7) Flesch-Kincaid readability assessment was conducted and the results demonstrated that the User Manual, test strip package insert and control solution package insert were written at the 8th grade level.
8) Customer support is available Monday through Friday 9:00 am to 9:00 pm EST by calling 1-888-446-3246.
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.
15
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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.