The 3test® Glucose Supreme Monitoring System is intended for the quantitative measurement of glucose in fresh capillary whole blood from the finger. Testing is done outside the body (in vitro diagnostic use). It is indicated for use at home (over the counter [OTC]) by person with diabetes, or in clinical setting by health care professionals, as an aid to monitor the effectiveness of diabetes control.
Device Story
System measures glucose in fresh capillary whole blood via amperometric assay using glucose oxidase enzyme. User applies blood to test strip; meter measures electrical current proportional to glucose concentration; converts current to glucose value. Device includes meter, test strips with 3 testing areas, lancing device, and control solutions. Used at home by patients or in clinical settings by professionals. Manual calibration code entry required per strip batch. Output displayed on meter screen; aids in monitoring diabetes control effectiveness. Benefits include portable, quantitative glucose monitoring.
Clinical Evidence
Pre-clinical and clinical data were employed per FDA Guidance for Industry for In Vitro Diagnostic Test Systems. No specific performance metrics (e.g., sensitivity, specificity) were provided in the summary document.
Indicated for quantitative glucose measurement in fresh capillary whole blood from the finger for individuals with diabetes (home/OTC use) or patients in clinical settings (professional use) to monitor diabetes control effectiveness.
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.
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1
# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY ASSAY AND INSTRUMENT COMBINATION TEMPLATE
A. 510(k) Number:
k072905
B. Purpose for Submission:
Modifications to the 3test meter (Addition of more memory and change in coding from a code key to manual entry of the calibration code).
C. Measurand:
Whole blood glucose
D. Type of Test:
Quantitative Amperometric Assay (Glucose Oxidase)
E. Applicant:
NEUERO Engineering Inc.
F. Proprietary and Established Names:
3test Supreme Glucose Monitoring System
G. Regulatory Information:
1. Regulation section:
21 CFR § 862.1345, Glucose Test System
2. Classification:
Class II
3. Product code:
NBW, CGA
4. Panel:
Clinical Chemistry (75)
H. Intended Use:
1. Intended use(s):
See Indications for use below.
2. Indication(s) for use:
The 3test® Glucose Supreme Monitoring System is intended for the quantitative measurement of glucose in fresh capillary whole blood from the finger. Testing is done outside the body (in vitro diagnostic use). It is indicated for use at home (over the counter [OTC]) by person with diabetes, or in clinical setting by health care professionals, as an aid to monitor the effectiveness of diabetes control.
3. Special conditions for use statement(s):
- The 3test Supreme system provides whole blood equivalent results
- Not for neonatal use
- Not for screening or diagnosis of diabetes mellitus
- Not for patients who are dehydrated, in shock, critically ill, or in a hyperosmolar state
4. Special instrument requirements:
NEUERO Engineering Inc. 3test Supreme Glucose Monitoring System
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2
I. Device Description:
The 3 test Supreme Glucose Monitoring System includes Meter, Blood Glucose Test Strips (that contain 3 testing areas in each strip), a tool to break off these test areas when finished, a Function Key (for testing the meter electronics), a Unit Key (which is required if the units are to be changed), High Control Solution (a Low level will also be available for purchase separately), Lancing Device, and Lancets. The meter quantitatively measures glucose in fresh capillary whole blood. The meter and test strips are verified by Control Solutions. The Function Key verifies the status of the meter.
J. Substantial Equivalence Information:
1. Predicate device name(s):
NEURO Engineering Inc. 3 test Glucose Monitoring System
2. Predicate 510(k) number(s):
k050224
3. Comparison with predicate:
| Similarities | | |
| --- | --- | --- |
| Item | Subject Device | Predicate Device |
| Detection method | Amperometry | Amperometry |
| Enzyme | Glucose Oxidase (Aspergillus niger) | Glucose Oxidase (Aspergillus niger) |
| Test range | 20 – 600 mg/dL | 20 – 600 mg/dL |
| Test Time | 5 seconds | 5 seconds |
| Sample Volume | 2 uL | 2 uL |
| Battery life | Running 1,000 test | Running 1,000 test |
| Differences | | |
| --- | --- | --- |
| Item | Subject Device | Predicate Device |
| Power | 1 3V Lithium Coin Cell | 2 3V Lithium Coin Cells |
| Memory capability | 200 tests | 100 tests |
| Coding | Manual Code Entry | Code strip |
| Available Controls | Low and High | Low, Medium, and High |
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.
L. Test Principle:
The glucose oxidase and mediator in the strip react with the glucose in the sample to produce an electrical current which is proportional to the amount of glucose in the sample. The meter measures the current and converts it to the corresponding glucose concentration.
M. Performance Characteristics (if/when applicable):
1. Analytical performance:
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a. Precision/Reproducibility:
Within-day precision was performed at 6 sites with each spiked whole blood sample tested by 10 different meters with 1 strip lot 20 times. Testing results are summarized in the table below:
| | Site 1 | Site 2 | Site 3 | Site 4 | Site 5 | Site 6 |
| --- | --- | --- | --- | --- | --- | --- |
| Level 1 | | | | | | |
| N | 20 | 20 | 20 | 20 | 20 | 20 |
| Mean (mg/dL) | 47.7 | 42.4 | 50.3 | 46.5 | 49.9 | 42.3 |
| SD (mg/dL) | 3.2 | 2.3 | 3.0 | 2.1 | 2.9 | 2.4 |
| %CV | 6.7 | 5.5 | 5.9 | 4.6 | 5.7 | 5.6 |
| | | | | | | |
| Level 2 | | | | | | |
| N | 20 | 20 | 20 | 20 | 20 | 20 |
| Mean (mg/dL) | 80.7 | 80.4 | 99.5 | 75.5 | 85.4 | 103.4 |
| SD (mg/dL) | 3.9 | 3.2 | 4.6 | 2.6 | 4.1 | 4.0 |
| %CV | 4.4 | 4.0 | 4.6 | 3.5 | 4.8 | 3.9 |
| | | | | | | |
| Level 3 | | | | | | |
| N | 20 | 20 | 20 | 20 | 20 | 20 |
| Mean (mg/dL) | 130 | 148 | 143 | 139 | 129 | 146 |
| SD (mg/dL) | 5.8 | 5.6 | 5.0 | 7.5 | 6.1 | 5.3 |
| %CV | 4.4 | 3.8 | 3.5 | 5.4 | 4.8 | 3.6 |
| | | | | | | |
| Level 4 | | | | | | |
| N | 20 | 20 | 20 | 20 | 20 | 20 |
| Mean (mg/dL) | 195 | 229 | 212 | 223 | 183 | 228 |
| SD (mg/dL) | 7.4 | 7.0 | 9.0 | 7.8 | 6.9 | 8.2 |
| %CV | 3.8 | 3.1 | 4.3 | 3.5 | 3.8 | 3.6 |
| | | | | | | |
| Level 5 | | | | | | |
| N | 20 | 20 | 20 | 20 | 20 | 20 |
| Mean (mg/dL) | 288 | 351 | 325 | 340 | 334 | 309 |
| SD (mg/dL) | 9.1 | 9.6 | 10.4 | 11.7 | 10.0 | 11.0 |
| %CV | 3.2 | 2.7 | 3.2 | 3.5 | 3.0 | 3.6 |
| | | | | | | |
| Level 6 | | | | | | |
| N | 20 | 20 | 20 | 20 | 20 | 20 |
| Mean (mg/dL) | 419 | 446 | 437 | 529 | 474 | 505 |
| SD (mg/dL) | 10.7 | 11.8 | 11.0 | 13.7 | 12.4 | 14.1 |
| %CV | 2.6 | 2.6 | 2.5 | 2.6 | 2.6 | 2.8 |
A single level of glucose in a whole blood sample was used to establish precision of the assay between meters and strip lots at 3 sites. Each sample was analyzed on 4
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meters with each meter tested 10 times. Testing results are summarized in the table below:
| Site 1 | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | Inter-meter | | | | Inter-reagent strip lot | | |
| Meter/Strip | Meter 1 vs. Strip Lot A | Meter 2 vs. Strip Lot A | Meter 3 vs. Strip Lot A | Meter 4 vs. Strip Lot A | Strip Lot A vs. Meter 1 | Strip Lot B vs. Meter 1 | Strip Lot vs. Meter 1 |
| Mean (mg/dL) | 142 | 143 | 141 | 138 | 138 | 138 | 138 |
| SD (mg/dL) | 6.2 | 5.1 | 6.0 | 6.1 | 5.2 | 5.2 | 5.5 |
| %CV | 4.4 | 3.6 | 4.2 | 4.4 | 3.8 | 3.8 | 4.0 |
| Site 2 | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | Inter-meter | | | | Inter-reagent strip lot | | |
| Meter/Strip | Meter 1 vs. Strip Lot A | Meter 2 vs. Strip Lot A | Meter 3 vs. Strip Lot A | Meter 4 vs. Strip Lot A | Strip Lot A vs. Meter 1 | Strip Lot B vs. Meter 1 | Strip Lot vs. Meter 1 |
| Mean (mg/dL) | 141 | 138 | 140 | 142 | 139 | 136 | 136 |
| SD (mg/dL) | 5.2 | 5.3 | 4.8 | 5.1 | 5.7 | 5.7 | 5.1 |
| %CV | 3.7 | 3.9 | 3.4 | 3.6 | 4.1 | 4.2 | 3.8 |
| Site 3 | | | | | | | |
| --- | --- | --- | --- | --- | --- | --- | --- |
| | Inter-meter | | | | Inter-reagent strip lot | | |
| Meter/Strip | Meter 1 vs. Strip Lot A | Meter 2 vs. Strip Lot A | Meter 3 vs. Strip Lot A | Meter 4 vs. Strip Lot A | Strip Lot A vs. Meter 1 | Strip Lot B vs. Meter 1 | Strip Lot vs. Meter 1 |
| Mean (mg/dL) | 141 | 134 | 137 | 138 | 138 | 138 | 140 |
| SD (mg/dL) | 4.9 | 5.1 | 4.1 | 5.0 | 6.2 | 4.5 | 5.0 |
| %CV | 3.5 | 3.8 | 3.0 | 3.6 | 4.5 | 3.3 | 3.5 |
b. Linearity/assay reportable range:
The linearity of the device was demonstrated by comparing 20 prepared whole blood samples on the 3test Supreme and a glucose reference method; each level was tested on 8 different meters with one lot of test strips. The 20 samples covered the claimed clinical range of the meter (20 - 600 mg/dL). Analysis of the results showed a linear relationship between the meter and the reference method: $y = 1.0169x - 1.7713$ , $R^2 = 0.9976$ .
c. Traceability, Stability, Expected values (controls, calibrators, or methods): The control materials supplied for this device were cleared under k050224.
d. Detection limit:
20 mg/dL: see linearity studies above. For values below 20 mg/dL the meter reads 'LO' and for values above 600 mg/dL the meter reads "HI".
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# e. Analytical specificity:
The sponsor tested the following exogenous and endogenous substances, and anticoagulants for interference using three levels of glucose (80, 160, and 260 mg/dL). The sponsor's acceptance criteria is a mean glucose difference of $\pm 15\%$ between the test sample and control sample (with no interfering substance). For exogenous and endogenous substances each interfering substance had 4 different levels of interferant spiked into the three levels of spiked glucose samples. For anticoagulants, two interferant concentrations were used. Results are summarized below:
| Interferant | Therapeutic Conc. (mg/dL) | Concentrations tested (mg/dL) | No Interference |
| --- | --- | --- | --- |
| Exogenous | | | |
| Acetaminophen | 1-2 | 0, 2, 6, 15, 20 | None up to 20 |
| Ascorbic Acid | 0.8-1.2 | 0, 1.2, 1.5, 2, 3 | None up to 1.5 |
| Dopamine | - | 0, 4.2, 15, 30, 40 | None up to 40 |
| Ibuprofen | 0.5-4.2 | 0, 4.2, 15, 30, 40 | None up to 40 |
| Methyl Dopa | 0.1-0.5 | 0, 0.5, 1, 1.5, 2.5 | None up to 2.5 |
| Salicylate | 15-30 | 0, 15, 30, 40, 50 | None up to 50 |
| Tetracycline | 0.4 | 0, 0.4, 1.4, 3.1, 4 | None up to 4 |
| Tolbutamide | 5.3-10 | 0, 10, 35, 70, 100 | None up to 100 |
| Tolazamide | - | 0, 20, 40, 75, 100 | None up to 100 |
| Endogenous | | | |
| Bilirubin | 1.2 | 0, 1.2, 7, 12, 20 | None up to 20 |
| Cholesterol | 300 | 0, 300, 370, 430, 500 | None up to 500 |
| Creatinine | 1.5 | 0, 1.5, 14, 24, 30 | None up to 30 |
| Triglycerides | 190 | 0, 190, 1300, 2000, 3000 | None up to 3000 |
| Uric Acid | 7 | 0, 9, 12, 16, 20 | None up to 16 |
| L-ascorbic acid | 2 | 0, 2.3, 2.7, 3 | None up to 3 |
| Anticoagulants | Typical Amount Used | | |
| Heparin | 4000 units/dL | 0, 4000, 8000 units/dL | None up to 8000 |
| EDTA (K+) | 150 | 0, 150, 300 | None up to 300 |
| Citrate (Na+) | 500 | 0, 500, 1000 | None up to 1000 |
| Oxalate | 400 | 0, 400, 800 | None up to 800 |
| Fluoride | 500 | 0, 500, 1000 | No interference at 0 |
The sponsor evaluated the effect of hematocrit levels $30 - 55\%$ on whole blood samples spiked to six hematocrit levels for three levels of glucose $(75\mathrm{mg / dL}$ , $155\mathrm{mg / dL}$ , and $254\mathrm{mg / dL}$ . The values generated were compared with the glucose values from a reference method. Based on the sponsor's acceptability criterion of $< \pm 15\%$ deviation for glucose concentrations versus YSI. The data supports the sponsor's claimed range of hematocrit levels between $30 - 55\%$ .
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An altitude study was performed with 3 levels of spiked whole blood samples at 74 mg/dL, 156 mg/dL, and 268 mg/dL at 556, 2118, 3951, 6620, and 9766 feet. All the samples met the sponsor's acceptability criterion of a bias of $\pm 15\%$ versus the reference method. The data submitted supports use of the device up to the claimed altitude of 9,700 feet.
f. Assay cut-off:
Not applicable
2. Comparison studies:
a. Method comparison with predicate device:
A consumer study was performed with 150 lay-users and a technician to see if glucose readings from the fingertip were comparable to a laboratory glucose reference method. Each participant performed their own fingerstick and tested their blood using the instructions in the User's Guide. A technician then took a fingerstick reading. Samples ranged from $70 - 343\mathrm{mg / dL}$. Based on ISO 15197 "In vitro diagnostic test systems — Requirements for blood-glucose monitoring systems for self-testing in managing diabetes mellitus" the accuracy of the device is presented below:
Patient
<75 mg/dL
| Within ± 5 mg/dL | Within ± 10 mg/dL | Within ± 15 mg/dL |
| --- | --- | --- |
| 4/5 (80%) | 5/5 (100%) | 5/5 (100%) |
≥75 mg/dL
| Within ± 5% | Within ± 10% | Within ± 15% | Within ± 20% |
| --- | --- | --- | --- |
| 78/145 (54%) | 137/145 (94%) | 142/145 (98%) | 144/145 (99%) |
Technician
<75 mg/dL
| Within ± 5 mg/dL | Within ± 10 mg/dL | Within ± 15 mg/dL |
| --- | --- | --- |
| 3/5 (60%) | 5/5 (100%) | 5/5 (100%) |
≥75 mg/dL
| Within ± 5% | Within ± 10% | Within ± 15% | Within ± 20% |
| --- | --- | --- | --- |
| 84/145 (58%) | 140/145 (97%) | 143/145 (99%) | 144/145 (99%) |
Linear regression analysis of the data yielded the results below:
| | Patient vs. YSI | Technician vs. YSI |
| --- | --- | --- |
| n | 150 | 150 |
| Regression | y = 0.950x + 4.836 | y = 0.969x + 2.736 |
| r value | 0.976 | 0.98 |
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A point of care study was performed using 6 sights testing 50 patients at each site. Samples ranged from 57 – 371 mg/dL. Based on ISO 15197 “In vitro diagnostic test systems — Requirements for blood-glucose monitoring systems for self-testing in managing diabetes mellitus” the accuracy of the device is presented below:
<75 mg/dL
| Within ± 5 mg/dL | Within ± 10 mg/dL | Within ± 15 mg/dL |
| --- | --- | --- |
| 12/21 (57%) | 20/21 (95%) | 21/21 (100%) |
≥75 mg/dL
| Within ± 5% | Within ± 10% | Within ± 15% | Within ± 20% |
| --- | --- | --- | --- |
| 185/279 (66%) | 266/279 (95%) | 279/279 (100%) | 279/279 (100%) |
Linear regression analysis of the data yielded the results below:
| n | 300 |
| --- | --- |
| Regression | y = 1.029x - 0.813 |
| r value | 0.989 |
b. Matrix comparison:
This system is cleared for use with capillary whole blood samples from the finger only.
3. Clinical studies:
a. Clinical Sensitivity:
See method comparison section above.
b. Clinical specificity:
Not applicable.
c. Other clinical supportive data (when a. and b. are not applicable):
The sponsor provided a readability study that indicated that the user manual, strip labeling, and control solution labeling are at or below an 8th grade reading level.
4. Clinical cut-off:
Not applicable.
5. Expected values/Reference range:
The normal fasting adult glucose range for a non-diabetics listed by the sponsor is 70 – 110 mg/dL¹ and 2 hours after meals <140 mg/dL².
1. Stedmans Medical Dictionary, 27th Edition, 1999, p. 755
2. American Diabetes Association Clinical Practice Recommendations 2004, Diabetes Care, Vol. 27, Supplement 1, P. S9
N. Instrument Name:
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3test Supreme Glucose Monitoring System
## O. System Descriptions:
1. **Modes of Operation:**
Each test strip contains 3 sections which can be used for 3 different tests. Once a section is used it is broken off with the provided tool. Once the three sections have been used, the strip must be replaced with a new strip for further readings.
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:**
There is no sample identification function with this device. Samples are applied directly to the test strip as they are collected.
4. **Specimen Sampling and Handling:**
This device is intended to be used with capillary whole blood from the finger only. Since the whole blood sample is applied directly to the test strip there are no special handling or storage issues.
5. **Calibration:**
A calibration code is provided with each batch of test strips and is entered into the meter to calibrate the meter for that batch. No further calibrations are required of the user.
6. **Quality Control:**
The sponsor is providing one of two levels of glucose control solution with this device. The high level will come with the system and the low level will be available for purchase. When the C button is pressed after a strip is inserted into the meter, the control mode is activated. This prevents control results from being stored in the internal memory. An acceptable range for each control level is printed on the test strip vial label. The user is referred to the troubleshooting section of the User’s Manual if control results fall outside these ranges.
## P. Other Supportive Instrument Performance Characteristics Data Not Covered In the "Performance Characteristics" Section above:
Not applicable.
## Q. Proposed Labeling:
The labeling is sufficient and it satisfies the requirements of 21 CFR Part 809.10.
## R. Conclusion:
The submitted information in this premarket notification is complete and supports a substantial equivalence decision.
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Part 1 — Search, results, and everyday workflows 16 min
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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.
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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?
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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.
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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.
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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.
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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.
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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.
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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.
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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.