DiaTrue Plus Blood Glucose Monitoring System is intended for use outside the body (in vitro diagnostic use) at home. It is used for quantitative measurement of glucose level in fresh capillary whole blood sample from the fingertip and the palm. The alternate site testing can be only used during steady-state blood glucose monitoring. The DiaTrue Plus Blood Glucose Monitoring System is intended for use by a single person and should not be shared. In addition, it is intended for use at home as an ald in monitoring the effectiveness of diabetes control program. It should not be used for the diagnosis or screening of diabetes, nor for the testing of neonates. The DiaTrue Plus Blood Glucose Test Strips are used with the DiaTrue Plus Glucose meter to quantitativeiy measure glucose in fresh capillary whole blood samples drawn from the fingertip and the palm. The DiaTrue Glucose Control Solutions are for use with the DiaTrue Plus Blood Glucose Test Strips and the DiaTrue Plus Glucose meter as a quality control check that the meter and test strip are working together properly, and that the test is performing correctly. The DiaLife Mini Blood Gluçose Management Software is designed for use in the home with the DiaTrue Plus Blood Glucose Monitoring System to allow users to transmit data from meter to their computer. It is an optional data management software accessory for use with the DiaTrue Plus Blood Glucose Monitoring System.
Device Story
DiaTrue Plus Blood Glucose Monitoring System measures capillary whole blood glucose via amperometric electrochemical biosensor technology. System components: glucose meter, test strips, control solutions, and DiaLife Mini data management software. User applies blood sample to test strip; meter measures electrical current generated by glucose oxidase reaction; displays glucose concentration. Software allows data transmission from meter to PC via USB cable. Intended for single-patient home use; operated by patient. Output aids monitoring of diabetes control program. Modifications from predicate include addition of palm site sampling, extended storage conditions, and data management software/USB connectivity.
Clinical Evidence
Method comparison study (n=120) compared palm testing to YSI clinical chemistry analyzer; 100% of samples <75 mg/dL were within ±15 mg/dL, and 97% of samples ≥75 mg/dL were within ±20%. User performance study (n=150) confirmed accuracy for self-testing on palm; 100% of samples <75 mg/dL within ±15 mg/dL, 96.2% of samples ≥75 mg/dL within ±20%. Bench testing validated software data transfer accuracy.
Technological Characteristics
System includes glucose meter, test strips, and control solutions. Employs in vitro diagnostic electrochemical sensing for glucose quantification. Includes optional PC-based data management software. Intended for single-patient use.
Indications for Use
Indicated for single-person home use for quantitative measurement of glucose in fresh capillary whole blood from fingertip or palm. Not for diabetes diagnosis/screening, neonates, critically ill, dehydrated, shock, or hyperosmolar patients. AST only during steady-state glucose levels; not for CGM calibration or insulin dosing.
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.
Submission Summary (Full Text)
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510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION
DECISION SUMMARY
ASSAY AND INSTRUMENT COMBINATION TEMPLATE
A. 510(k) Number:
k130244
B. Purpose for Submission:
Device modifications to add alternative site sampling from the palm, to extend the storage conditions for the test strip and controls, and to add the DiaLife Mini Blood Glucose Management Software, and a USB cable data transmission feature.
C. Measurand:
Capillary Whole Blood Glucose
D. Type of Test:
Quantitative amperometric whole blood, glucose oxidase
E. Applicant:
DELBio Incorporation
F. Proprietary and Established Names:
DiaTrue Plus Blood Glucose Monitoring System
DiaTrue Glucose Control Solution
G. Regulatory Information:
1. Regulation section:
21 CFR: 862.1345, Glucose Test System
21 CFR 862.1660, Quality control material
21 CFR 862.2100, Calculator/data processing module for clinical use
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2. Classification:
Class II
Class I, reserved
3. Product code:
NBW – System, Test, Blood Glucose, Over the Counter
CGA – Glucose Oxidase, Glucose test system
JJX – Quality Control Material
JQP – Calculator/data processing module for clinical use
4. Panel:
75 (clinical chemistry)
H. Intended Use:
1. Intended use(s):
See indication(s) for use below.
2. Indication(s) for use:
DiaTrue Plus Blood Glucose Monitoring System is intended for use outside the body (in vitro diagnostic use) at home. It is used for quantitative measurement of glucose level in fresh capillary whole blood sample from the finger and the palm. The alternate site testing can be only used during steady-state blood glucose monitoring. The DiaTrue Plus Blood Glucose Monitoring System is intended for use by a single person and should not be shared. In addition, it is intended for use at home as an aid in monitoring the effectiveness of diabetes control program. It should not be used for the diagnosis or screening of diabetes, nor for the testing of neonates.
The DiaTrue Plus Blood Glucose Test Strips are used with the DiaTrue Plus Glucose meter to quantitatively measure glucose in fresh capillary whole blood samples drawn from the finger and the palm.
The DiaTrue Glucose Control Solutions are for use with the DiaTrue Plus Blood Glucose Test Strips and the DiaTrue Plus Glucose meter as a quality control check that the meter and test strip are working together properly, and that the test is performing correctly.
The DiaLife Mini Blood Glucose Management Software is designed for use in the home
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with the DiaTrue Plus Blood Glucose Monitoring System to allow users to transmit data from meter to their computer. It is an optional data management software accessory for use with the DiaTrue Plus Blood Glucose Monitoring System.
3. Special conditions for use statement(s):
- For single person, over the counter use
- Not for use in the screening or diagnosis of diabetes
- Not for use in testing neonates
- Not for use on critically ill patients, dehydrated patients, patients in shock, or hyperosmolar 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:
DiaTrue Plus Blood Glucose Meter
I. Device Description:
The systems consist of three main components: the meter (modified from k103329), test strips (modified from k103329), and control solutions (modified from k103329).
The DiaTrue Plus Blood Glucose Monitoring System is for single-patient use for the measurement of glucose in whole blood. The system consists of the DiaTrue Plus Blood Glucose Meter, DiaTrue Plus Blood Glucose Test Strips (sold separately), and three levels of control solution (Level II included, Level I and Level III sold separately). The system does not include a lancing device or lancets.
J. Substantial Equivalence Information:
1. Predicate device name(s):
DiaTrue Plus Blood Glucose Monitoring System
2. Predicate 510(k) number(s):
k103329
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3. Comparison with predicate:
| Similarities | | |
| --- | --- | --- |
| Item | Proposed Device DiaTrue Plus Blood Glucose Monitoring System | Predicate DiaTrue Plus Blood Glucose Monitoring System, K103329 |
| Indications for use | Same | The DiaTrue Plus Blood Glucose Monitoring System is an in vitro diagnostic medical device intended for the quantitative measurement of glucose in fresh capillary whole blood samples drawn from the fingertips. |
| Detection method | Same | Amperometric detection |
| Enzyme | Same | Glucose oxidase |
| Measurement range | Same | 20-600 mg/dL |
| Sample volume (μL) | Same | 1 μL |
| Maximum Altitude | Same | 10000 ft |
| Control solution(s) | Same | Three levels available |
| Hematocrit range | Same | 30-55% |
| Differences | | |
| --- | --- | --- |
| Item | Proposed Device DiaTrue Plus Blood Glucose Monitoring System | Predicate DiaTrue Plus Blood Glucose Monitoring System, K103329 |
| Site | Fingertip and palm | Fingertip |
| Test Strip Storage Conditions | 39°F to 86°F, between 20-75% RH | 50°F to 77°F, below 75% RH |
| Control Solutions Storage Conditions | 39°F to 86°F, between 20-75% RH | 50°F to 77°F, below 75% RH |
K. Standard/Guidance Document Referenced (if applicable):
ISO 14971:2007. Medical devices-Application of risk management to medical devices.
ISO 15197. In vitro diagnostic test systems. Requirements for blood-glucose monitoring systems for self-testing in managing diabetes mellitus.
CEN 13640. Stability Testing of In Vitro Diagnostic Reagents. (In Vitro Diagnostics).
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L. Test Principle:
The test strip chemistry uses Glucose Oxidase (GO), the chemical reaction on strip is as follows:
$$
\text{Glucose} + \text{GO/FAD} \rightarrow \text{gluconic acid} + \text{GO/FADH2}
$$
$$
\text{GO/FADH2} + \text{ferricyanide} \rightarrow \text{GO/FAD} + \text{ferrocyanide}
$$
$$
\text{Ferrocyanide} \rightarrow \text{ferricyanide} + \text{e-}
$$
$$
\text{GO/FADH2} + \text{O}_2 \rightarrow \text{GO/FAD} + \text{H}_2\text{O}_2
$$
The test is based on electrochemical biosensor technology and the principle of capillary action. The electrical current generated by the reaction of glucose in the sample with the glucose oxidase enzyme in the strip is measured by the meter and is displayed as the corresponding blood glucose level. The strength of the current produced by the reaction depends on the amount of glucose in the blood sample.
M. Performance Characteristics (if/when applicable):
1. Analytical performance:
a. Precision/Reproducibility:
As established in k103329
b. Linearity/assay reportable range:
As established in k103329
c. Traceability, Stability, Expected values (controls, calibrators, or methods):
Traceability was established in k103329.
Stability
Test Strips:
Stability characteristics of the test strips were determined using real-time and accelerated studies, using closed vials. The testing protocol and acceptance criteria were reviewed and found to be adequate. When stored unopened at the recommended storage temperature of $39^{\circ}\mathrm{F}$ to $86^{\circ}\mathrm{F}$ (4-30°C) and between 20-75% relative humidity, the sponsor claims the test strips are stable for 18 months. Once opened, the test strips are stable for up to 3 months when stored at 39 to 86 °C, and between 20-75% relative humidity.
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The open-vial stability claim was established in k103329.
## Control Solutions:
Stability characteristics of the control solutions were determined using real-time and accelerated studies, using closed vials. The testing protocol and acceptance criteria were reviewed and found to be adequate. The sponsor claims the unopened shelf-life is 18 months at the recommended storage of 39°F to 86°F (4-30°C), and between 20-75% relative humidity. Once opened, the control solutions are stable for 3 months when stored at 39 to 86°C.
The open-vial stability claim was established in k103329.
## d. Detection limit:
As established in k103329
## e. Analytical specificity:
As established in k103329
## f. Assay cut-off:
As established in k103329
## 2. Comparison studies:
### a. Method comparison: 1
Testing on the fingertip was previously established in k103329.
The method comparison was performed with 120 participants, using 3 lots of test strips. Results from testing on the palm using the DiaTrue Plus meter and DiaTrue Plus test strips were compared to YSI clinical chemistry analyzer. All testing was performed by health care professionals. Samples with concentrations between 33 and 533 mg/dL were used in the testing. 12 samples were altered, 6 at the low range (33, 34.2, 39.4, 41.6, 42.1, 47.1 mg/dL) and 6 at the high range (404, 419, 434, 491, 506, 533 mg/dL).
For glucose concentrations < 75 mg/dL:
| | within ±5 mg/dL | within ±10 mg/dL | within ±15 mg/dL |
| --- | --- | --- | --- |
| Palm | 13/20 (65.0%) | 17/20 (85.0%) | 20/20 (100.0%) |
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For glucose concentrations $\geq 75\ \mathrm{mg/dL}$:
| | within ±5% | within ±10% | within ±15% | within ±20% |
| --- | --- | --- | --- | --- |
| Palm | 46/100 (46.0%) | 77/100 (77.0%) | 92/100 (92.0%) | 97/100 (97.0%) |
The following is the linear relationship between the DiaTrue Plus Blood Glucose Monitoring System and the YSI clinical chemistry analyzer:
| | Regression equation | Standard error | Slope (95%CI) | Intercept (95%CI) |
| --- | --- | --- | --- | --- |
| Palm | Y = 0.9823X-2.2554, R² = 0.9816 | 14.3787 | 0.9578~1.0068 | -7.1819~2.6711 |
b. Matrix comparison:
Not applicable
3. Clinical studies:
a. Clinical Sensitivity:
Not Applicable
b. Clinical specificity:
Not Applicable
c. Other clinical supportive data (when a. and b. are not applicable):
User performance studies:
Testing on the fingertip was previously established in k103329.
150 participants, ages 21 to 80 years, 83 male and 67 female, performed self-testing on the palm. Participants were given labeling in English and no other instruction or coaching. Results ranged from 63.7 to $378.0\ \mathrm{mg/dL}$. Results were compared to a YSI clinical chemistry analyzer and are summarized below.
For glucose concentrations $< 75\ \mathrm{mg/dL}$:
| | within ±5 mg/dL | within ±10 mg/dL | within ±15 mg/dL |
| --- | --- | --- | --- |
| Palm | 6/20 (30.0%) | 17/20 (85.0%) | 20/20 (100.0%) |
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For glucose concentrations ≥ 75 mg/dL:
| | within ±5% | within ±10% | within ±15% | within ±20% |
| --- | --- | --- | --- | --- |
| Palm | 53/130 (40.8%) | 94/130 (72.3%) | 119/130 (91.5%) | 125/130 (96.2%) |
| Lot number | Regression equation | Standard error | Slope (95%CI) | Intercept (95%CI) |
| --- | --- | --- | --- | --- |
| Test Strip Lot 1 Palm | Y = 0.9481X+2.5264, R² = 0.9756 | 12.2174 | 0.9046~0.9917 | -4.9959~10.0488 |
| Test Strip Lot 2 Palm | Y = 0.9698X-3.3467, R² = 0.9819 | 12.6835 | 0.9316~1.0080 | -11.1345~4.4410 |
| Test Strip Lot 3 Palm | Y = 0.9624X+1.8537, R² = 0.9708 | 12.7575 | 0.9140~1.0109 | -6.6305~10.3379 |
| Total (3 lots of test strips) Palm | Y = 0.9590X+0.6193, R² = 0.9769 | 12.5082 | 0.9351~0.9830 | -3.7978~5.0365 |
4. Clinical cut-off:
Not applicable
5. Expected values/Reference range:
The sponsor included the following expected values for people without diabetes in their strip labeling:
| Time | Range, mg/dL |
| --- | --- |
| Fasting and Before Meals | <100 mg/dL |
| 2 hours after Meals | <140 mg/dL |
"Standards of Medical Care in Diabetes 2012, Diabetes Care, 2012, vol.35, no Supplement 1, S13. Table 3."
N. Instrument Name:
DiaTrue Plus Blood Glucose Meter
O. System Descriptions:
1. Modes of Operation:
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Does the applicant’s device contain the ability to transmit data to a computer, webserver, or mobile device?
Yes ☐ X or No ☐
Does the applicant’s device transmit data to a computer, webserver, or mobile device using wireless transmission?
Yes ☐ or No ☐ X
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:
Single home-use for capillary whole blood testing only. This device is intended to be used with capillary whole blood from the fingertip and palm only. The whole blood sample is applied directly to the test strip.
5. Calibration:
No automatic coding; the calibration code for the vial of test strips should be selected or verified by the user from the available choices of code numbers programmed in the meter. Users are instructed where to find the calibration code information on the test strip vial label.
6. Quality Control:
The sponsor has three levels of controls that are provided with the meters. When a test strip is inserted into the meter, each control can be measured by following the instructions for “Performing a Control Solution Test” provided in the User’s Manuals for the meters. An acceptable range for each control level is printed on the test strip vial label. If the test results fall outside the range printed on the test strip vial, the user is instructed to contact the Customer Care Line at (800) 762-5371 for customer support. The Customer Care service is available 9am-5pm M-F EST
P. Other Supportive Instrument Performance Characteristics Data Not Covered In The “Performance Characteristics” Section above:
1) DiaLife Mini Data Management System User Study: 50 people were in the study with 27 men and 23 women, ages 21 – 80 years, with a variety of educational backgrounds. The study included the upload of the transfer software and transferring the data from the meters. The user study compared 30 data sets between the meter and the PC. They also
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performed bench testing and showed that the software is still accurate when the meter rolls over, > 500 readings.
2) Hematocrit Study:
As established in k103329
3) Altitude study:
As established in k103329
4) Sample volume study:
As established in k103329
5) Temperature and humidity studies:
As established in k103329
6) Infection Control Studies:
As established in k103329
7) EMC testing:
As established in k103329
8) A readability assessment was conducted and the results demonstrated that the User Manual, test strip package insert and control solution package insert were each written at the 7th grade level.
9) Customer support is available Monday through Friday 9:00 am to 5:00 pm EST by calling 1-855-933-5246.
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
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.
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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
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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.