The Smart Dongle Blood Glucose Monitoring System consists of the Smart Dongle meter, single use Smart Dongle test strips, and the Smart Dongle mobile application as the display component of the Smart Dongle Blood Glucose Monitoring System. The Smart Dongle Blood Glucose Monitoring System is intended to be used for the quantitative measurement of glucose (sugar) in fresh capillary whole blood from the finger. This blood glucose monitoring system is intended to be used by a single person and should not be shared. Smart Dongle Blood Glucose Monitoring System is intended for self-testing outside the body (in vitro diagnostic use) by people with diabetes at home as an aid to monitor the effectiveness of diabetes control. This system should not be used for the diagnosis of or screening for diabetes, nor for use on neonates.
Device Story
System comprises glucose meter, test strips, and mobile application; meter connects to iPhone/iPod via earphone jack. Input: capillary whole blood sample (1.0 μL) applied to test strip. Operation: amperometric biosensor (glucose dehydrogenase) generates electrical signal proportional to glucose concentration; meter translates signal to glucose value; data transmitted to smartphone app for display/storage. Used at home by patients; no battery required (powered by smartphone). Output: blood glucose concentration displayed on smartphone screen. Benefits: enables convenient, portable self-monitoring of blood glucose levels for diabetes management.
Clinical Evidence
Clinical accuracy evaluated in 160-subject lay-user study and 160-subject professional study. Samples ranged 40-546 mg/dL. Lay-user study accuracy: 98.0% within ±10 mg/dL for <75 mg/dL; 95.5% within ±10% for ≥75 mg/dL. Professional study accuracy: 100% within ±10 mg/dL for <75 mg/dL; 95.5-97.0% within ±10% for ≥75 mg/dL. Bench testing included precision (CV 3.01-4.52%), linearity (R² > 0.99), interference screening (88 substances), hematocrit (10-70%), altitude (up to 15,000 ft), and temperature/humidity (10-40°C, 10-85% RH).
Technological Characteristics
Glucose dehydrogenase biosensor; electrochemical measurement principle. Powered by mobile platform via headphone jack. Compatible with iPhone 4/4s/5/5s/6/6s/Plus and iPod touch 5th gen. Sample volume 1.0 uL. No coding required.
Indications for Use
Indicated for single-patient, home-use quantitative measurement of glucose in fresh capillary whole blood from the finger by people with diabetes to monitor diabetes control. Contraindicated for neonates, screening/diagnosis of diabetes, patients with severe hypotension/shock, patients in hyperglycemic-hyperosmolar state, or patients with impaired peripheral circulation.
Regulatory Classification
Identification
A glucose test system is a device intended to measure glucose quantitatively in blood and other body fluids. Glucose measurements are used in the diagnosis and treatment of carbohydrate metabolism disorders including diabetes mellitus, neonatal hypoglycemia, and idiopathic hypoglycemia, and of pancreatic islet cell carcinoma.
Special Controls
*Classification.* Class II (special controls). The device, when it is solely intended for use as a drink to test glucose tolerance, is exempt from the premarket notification procedures in subpart E of part 807 of this chapter subject to the limitations in § 862.9.
Predicate Devices
U-RIGHT TD-4279 blood glucose monitoring system (K101509)
Submission Summary (Full Text)
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# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY ASSAY AND INSTRUMENT COMBINATION TEMPLATE
A. 510(k) Number:
k162382
B. Purpose for Submission:
New device
C. Measurand:
Glucose in fresh capillary whole blood
D. Type of Test:
Quantitative, Amperometric method, glucose dehydrogenase (GDH-FAD)
E. Applicant:
TaiDoc Technology Corporation
F. Proprietary and Established Names:
Smart Dongle Blood Glucose Monitoring System
G. Regulatory Information:
| Regulation Section | Classification | Product Code | Panel |
| --- | --- | --- | --- |
| 21 CFR 862.1345 | Class II | LFR, Glucose Dehydrogenase | Clinical Chemistry (75) |
| 21 CFR 862.1345 | Class II | NBW, System, Test, Blood Glucose, Over the Counter | Clinical Chemistry (75) |
| 21 CFR 862.2100 | Class I limitations of exemption 862.9(c)(5) | JQP, Calculator/Data Processing Module, For Clinical Use | Clinical Chemistry (75) |
H. Intended Use:
1. Intended use(s):
See indications for use below.
2. Indication(s) for use:
The Smart Dongle Blood Glucose Monitoring System consists of the Smart Dongle
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meter, single use Smart Dongle test strips, and the Smart Dongle mobile application as the display component of the Smart Dongle Blood Glucose Monitoring System. The Smart Dongle Blood Glucose Monitoring System is intended to be used for the quantitative measurement of glucose (sugar) in fresh capillary whole blood from the finger. This blood glucose monitoring system is intended to be used by a single person and should not be shared. Smart Dongle Blood Glucose Monitoring System is intended for self-testing outside the body (in vitro diagnostic use) by people with diabetes at home as an aid to monitor the effectiveness of diabetes control. This system should not be used for the diagnosis of or screening for diabetes, nor for use on neonates.
3. Special conditions for use statement(s):
- Not for the screening or diagnosis of diabetes mellitus
- Severe dehydration and excessive water loss may cause inaccurate readings
- Do NOT use the Smart Dongle Blood Glucose Monitoring System on severely hypotensive individuals or patients in shock
- Do NOT use the Smart Dongle Blood Glucose Monitoring System on neonates, patients who are critically ill or patients in hyperglycemic-hyperosmolar state, with or without ketosis
- For in vitro diagnostic use only
- Do not reuse the strip
- The meter and lancing device are for single patient use. Do not share them with anyone including other family members. Do not use on multiple patients.
- This system is not for use in patients with abnormally low blood pressure or those who are in shock.
- This system should not be used on patients with impaired peripheral circulation
4. Special instrument requirements:
- Smart Dongle Meter
- Smart Dongle App
- Apple iPhone 4, 4s, 5, 5s, 6, 6+, 6s+, or Apple iPod touch 5th generation
- Apple iOS version 7, 8, 9
I. Device Description:
Smart Dongle Blood Glucose Monitoring System is sold as one of two kit configurations:
Version with test strips:
- A glucose meter
- Protective plastic sleeves (for iPhone)
- Test strips
Version without test strips:
- A glucose meter
- Protective plastic sleeves
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The system uses FORA control solutions (three concentrations: Level 1, 2, and 3) that were previously cleared in k093724 and are provided separately from the device.
This system measures the concentration of glucose in blood with an amperometric glucose biosensor embedded in the meter, that measures the volume of electrical signal generated by the reaction of glucose in blood sample with the metabolizing enzyme system (glucose dehydrogenase) implanted on test strip, and then translates into glucose concentration and thereafter is transmitted to and displayed on the screen of iPhone via earphone jack. Test results will show on the screen after 5 seconds reaction time. The proposed device does not need a battery, and is powered by the smartphone. It stores one measurement, while all the data are stored in the smartphone.
# J. Substantial Equivalence Information:
1. Predicate device name(s): U-RIGHT TD-4279 Blood Glucose Monitoring System
2. Predicate $510(\mathrm{k})$ number(s): k101509
3. Comparison with predicate:
| Similarities and Differences | | |
| --- | --- | --- |
| Item | Candidate Device (Smart Dongle BGMS, k162382) | Predicate Device (U-RIGHT TD-4279 Blood Glucose Monitoring System, k101509) |
| Intended Use | Intended for the quantitative measurement of glucose in fresh capillary blood samples by people with diabetes at home to monitor the effectiveness of diabetes control | Same |
| Assay Method | Glucose dehydrogenase | Same |
| Measuring Range | 20-600 mg/dL | Same |
| Sample Type | Capillary fingerstick | Capillary fingerstick and venous whole blood |
| Sample size | 1.0 μL | 1.1 μL |
| Hematocrit range | 20-70% | Same |
| Operating Conditions | 10-40°C and 10-85% RH | Same |
| Data Storage | Results stored by mobile platform | Results stored in device |
| Display | Connect to iOS device to display results | LCD display |
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| Similarities and Differences | | |
| --- | --- | --- |
| Item | Candidate Device (Smart Dongle BGMS, k162382) | Predicate Device (U-RIGHT TD-4279 Blood Glucose Monitoring System, k101509) |
| Data transmission | Earphone Jack | Data cable |
| Analysis Time | 5s | Same |
| Power Source | Powered by iOS device connected to the meter | Two AAA batteries |
| Coding | No coding | Code strip |
K. Standard/Guidance Document Referenced (if applicable):
- CLSI-EP05-A2 Evaluation of precision performance of quantitative measurement methods
- CLSI-EP07-A2 Interference testing in clinical chemistry
- IEC 60601-1-2 Medical electrical equipment - part 1-2: general requirements for basic safety and essential performance - collateral standard: electromagnetic compatibility - requirements and tests
L. Test Principle:
This system measures the concentration of glucose in blood with an amperometric glucose biosensor embedded in the meter, that measures the volume of electrical signal generated by the reaction of glucose in blood sample with the metabolizing enzyme system (glucose dehydrogenase) implanted on test strip, and then translates into glucose concentration and thereafter is transmitted to and displayed on the screen of iPhone or iPad via earphone jack. Test results will show on the screen after 5 seconds reaction time
M. Performance Characteristics (if/when applicable):
1. Analytical performance:
a. Precision/Reproducibility:
Intermediate Precision (Reproducibility)
Intermediate precision was evaluated using three levels of control solutions: 30-50 mg/dL, 96 to 144 mg/dL, and 280 to 420 mg/dL. Three strip lots and ten Smart Dongle meters were evaluated over a total of ten days (total of 300 measurements). For each test strip lot, each sample was tested ten times per day over the ten day period. The mean values and coefficients of variation calculated for each sample are summarized below.
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| Glucose level (mg/dL) | Test Strip Lot | n | Mean Meter Reading (mg/dL) | SD (mg/dL) | % CV | Overall Mean | Overall SD | Overall % CV |
| --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 30-50 mg/dL (Level 1) | 1 | 100 | 49.6 | 2.21 | 4.45% | 49.6 | 2.17 | 4.38% |
| | 2 | 100 | 49.4 | 2.17 | 4.40% | | | |
| | 3 | 100 | 49.8 | 2.19 | 4.40% | | | |
| 96-144 mg/dL (Level 2) | 1 | 100 | 138.6 | 4.38 | 3.16 | 139.4 | 4.37 | 3.13 |
| | 2 | 100 | 140.0 | 4.21 | 3.01 | | | |
| | 3 | 100 | 139.5 | 4.48 | 3.21 | | | |
| 280-420mg/dL (Level 3) | 1 | 100 | 336.6 | 10.16 | 3.02 | 335.4 | 10.10 | 3.01 |
| | 2 | 100 | 335.6 | 10.27 | 3.06 | | | |
| | 3 | 100 | 334.4 | 10.08 | 3.01 | | | |
## Repeatability
Repeatability (within-run) precision was evaluated using venous whole blood spiked with high concentration dextrose solution (20,000 mg/dL). Five glucose concentrations ranges were prepared (30-50, 51-110, 111-150, 151-250, and 251-400 mg/dL). Three test strip lots and 10 meters were used for this study. For each test strip lot, each sample was tested ten times with each meter. The mean values and coefficients of variation calculated for each sample are summarized below.
| Glucose level (mg/dL) | Test Strip Lot | YSI Plasma (mg/dL) | n | Mean Meter Reading (mg/dL) | SD (mg/dL) | %CV |
| --- | --- | --- | --- | --- | --- | --- |
| 30-50 | 1 | 48.4 | 100 | 49.6 | 2.13 | 4.29 |
| | 2 | | | 49.9 | 2.21 | 4.43 |
| | 3 | | | 49.6 | 2.24 | 4.52 |
| 51-110 | 1 | 93 | 100 | 91.7 | 2.97 | 3.24 |
| | 2 | | | 91.2 | 3.04 | 3.34 |
| | 3 | | | 90.9 | 2.89 | 3.18 |
| 111-150 | 1 | 125 | 100 | 128.0 | 3.95 | 3.09 |
| | 2 | | | 128.3 | 4.07 | 3.17 |
| | 3 | | | 128.5 | 4.21 | 3.27 |
| 151-250 | 1 | 225 | 100 | 227.5 | 7.06 | 3.10 |
| | 2 | | | 229.0 | 7.36 | 3.21 |
| | 3 | | | 227.2 | 7.21 | 3.17 |
| 251-400 | 1 | 386 | 100 | 390.8 | 12.32 | 3.15 |
| | 2 | | | 390.2 | 12.06 | 3.09 |
| | 3 | | | 389.8 | 12.14 | 3.12 |
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b. Linearity/assay reportable range:
Linearity was evaluated using venous blood drawn from healthy donors. The blood was allowed to stand at room temperature to glycolyze. The venous blood was spiked with concentrated D-Dextrose solution (~20,000 mg/dL) to achieve ten concentrations covering the range of glucose concentrations below and above 20-600 mg/dL (8, 43, 75, 116, 183, 291, 383, 469, 599, 758 mg/dL). Three lots of test strips and five blood glucose meters were used. Each level was tested in replicates of five with each of three test strip lots, resulting in a total of 15 replicates for each glucose level. The values from the Smart Dong bnmnnnle were compared to a laboratory-based comparator method (YSI 2300). The results from regression analysis are summarized below:
Lot 1: y = 1.0008x+1.3651, R² = 0.9981
Lot 1: y = 1.0018x+0.7997, R² = 0.998
Lot 1: y = 1.0037x+1.2707, R² = 0.9978
The sponsor’s claimed glucose measurement range is 20 to 600 mg/dL.
c. Traceability, Stability, Expected values (controls, calibrators, or methods):
Test strip closed vial stability:
Stability protocols and acceptance criteria were reviewed and found to be acceptable to support a shelf life of 25 months when stored at a temperature ranging from 36°F-86°F (2°C to 30°C) and between 10%-85% relative humidity.
Test strip open vial stability:
Stability protocols and acceptance criteria were reviewed and found to be acceptable to support an open-vial use life of three months at a temperature ranging from 36°F-86°F (2°C to 30°C) and between 10%-85% relative humidity.
Control Solution Stability:
Protocol and acceptance criteria were reviewed in k093724. The sponsor claims that the control solution is stable when unopened for two years (24 months) at the recommended storage temperature (36-86°F). The control solution is stable when opened for three months (90 days) at the recommended storage temperature (36-86°F).
Traceability:
The Smart Dongle Blood Glucose Monitoring System is compared to the YSI 2300 Glucose Analyzer in the clinical and non-clinical studies. The YSI is calibrated with NIST (SRM) 917A reference material.
d. Detection limit:
The reportable range for the Taidoc Smart Dongle is 20-600 mg/dL. This range was verified by the linearity study (M.1.b). The meter displays “LO” with glucose values
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below 20mg/dL, and "HI" with glucose values over 600 mg/dL.
e. Analytical specificity:
Eighty-eight potential interfering substances consisting of exogenous substances (substances originating from outside the body such as therapeutic agents or vitamins) of the most commonly used critical care drugs endogenous substances (substances produced or originating from within the body), and common anticoagulants including heparin and Fluoride/Oxalate were screened for interference. Four Smart Dongle meters and four test strip lots were tested. Interference was screened by spiking each substance into a venous whole blood sample using highly concentrated dextrose (~20,000 mg/dL) to a concentration of either approximately 75 mg/dL or 170 mg/dL. The sponsor defined no significant interference as bias within ±10%.
| | Potential Interferent | Highest level without interference (mg/dL) |
| --- | --- | --- |
| 1 | Acetylsalicylic Acid | 50 |
| 2 | Acetaminophen | 6.25 |
| 3 | Acyclovir | 3.1 |
| 4 | Allopurinol | 5 |
| 5 | Amitriptyline | 0.27 |
| 6 | Amoxicillin | 12.5 |
| 7 | Ampicillin | 5 |
| 8 | Ascorbic acid | 5 |
| 9 | Atenolol | 10 |
| 10 | Bicarbonate | 336 (40 mM) |
| 11 | Bile Acids (Cholic Acid) | 6 |
| 12 | Bilirubin (Unconjugated) | 20 |
| 13 | Caffeine | 10 |
| 14 | Calcium | 5 mM |
| 15 | Ceftriaxone | 250 |
| 16 | Chloride | 140 mM |
| 17 | Cholesterol | 500 |
| 18 | Clonidine | 2 |
| 19 | Creatinine | 5 |
| 20 | Digoxin | 0.16 |
| 21 | Diphenhydramine | 1 |
| 22 | Dopamine | 1.25 |
| 23 | Enalapril | 0.15 |
| 24 | Ephedrine | 50 |
| 25 | Erythromycin | 20 |
| 26 | Estrone | 0.1 |
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| | Potential Interferent | Highest level without interference (mg/dL) |
| --- | --- | --- |
| 27 | Famotidine | 0.13 |
| 28 | Fluoxetine | 0.8 |
| 29 | Folic | 13.3 |
| 30 | Fructose | 1000 |
| 31 | Furosemide | 2 |
| 32 | Galactose | 1000 |
| 33 | Gentisic | 2 |
| 34 | Glutathione, reduced | 30 |
| 35 | Glyburide | 1.07 |
| 36 | Glycerol | 1000 |
| 37 | Hemoglobin | 500 |
| 38 | Ibuprofen | 55 |
| 39 | Icodextrin | 2000 |
| 40 | Isomalt | 1000 |
| 41 | Lactose | 1000 |
| 42 | Lactitol | 1000 |
| 43 | L-Dopa | 0.7 |
| 44 | Lidocaine | 6 |
| 45 | Lipemic Samples (Triglycerides) | >3000 |
| 46 | Magnesium | 5 mM |
| 47 | Maltitol | 1000 |
| 48 | Maltose | 1000 |
| 49 | Mannitol | 5000 |
| 50 | Mannose | 250 |
| 51 | Metaproterenol | 1.81 |
| 52 | Methyl-Dopa | 0.625 |
| 53 | Metformin | 50 |
| 54 | Metoprolol | 0.3 |
| 55 | Naproxen | 100 |
| 56 | Nifedipine | 0.17 |
| 57 | Nortriptyline | 0.15 |
| 58 | Penicillin | 12 |
| 59 | pH value | 6.85-10.35 |
| 60 | Phenytoin | 10 |
| 61 | Piroxicam | 5 |
| 62 | Potassium | 10 mM |
| 63 | Pralidoxime Iodide | >5 |
| 64 | Salicylic | 60 |
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| | Potential Interferent | Highest level without interference (mg/dL) |
| --- | --- | --- |
| 65 | Sodium | 200 mM |
| 66 | Sorbitol | 1000 |
| 67 | Sulfamethoxazole | 120 |
| 68 | Sulfate | 5 mM |
| 69 | Terfenadine | 0.45 |
| 70 | Tetracycline | 10 |
| 71 | Theophylline | 25 |
| 72 | Tolazamide | >6.25 |
| 73 | Tolbutamide | 64 |
| 74 | Total Protein (gamma-Globulin) | 12000 |
| 75 | Trimopan (Trimethoprim) | 12.5 |
| 76 | Urea | 600 |
| 77 | Uric Acid | 10 |
| 78 | Vancomycin | 25 |
| 79 | Verapamil | 0.45 |
| 80 | Vitamin E | 20 |
| 81 | Warfarin | 2 |
| 82 | Xylitol | 1000 |
| 83 | Xylose | >6.25 |
Based on the results of their testing the sponsor listed the following limitations in the Owner's Manual and the Test Strip Insert:
- If you are taking acetaminophen containing drugs (Tylenol and other medicines containing acetaminophen, blood concentrations $>6.25 \, \mathrm{mg/dL}$ ) at doses higher than recommended, these may interfere with your glucose meter and cause you to get inaccurate results with this system.
- You should know that your blood glucose results may not be reliable after a Xylose absorption test. If you have had a Xylose absorption test, or if you are unsure, ask your doctor how long you should wait until using your blood glucose meter
- If you are undergoing treatment with PAM (pralidoxime iodide, blood concentration $>5\mathrm{mg/dL}$ , used in the treatment of some types of poisoning), this may cause you to get inaccurate results with this system. If you are unsure, then ask your doctor.
- If you have certain conditions that may cause your blood level of uric acid to rise ( $>10\mathrm{mg/dL}$ in your blood), such as gout or kidney disease, then your blood glucose results may be inaccurate with this meter.
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f. Assay cut-off:
Not applicable.
## 2. Comparison studies:
a. Method comparison with predicate device:
A system accuracy study was carried out with 160 subjects at three sites to evaluate system accuracy devices in clinical and laboratory settings. Health care professionals tested subject's blood specimens via a fingertip stick using the blood glucose monitoring devices and the laboratory-based comparator method. Each blood specimen was tested with three different lots of test strips for a total of three readings per sample and tested on the analyzer. The health care professional obtained a capillary blood sample that was tested immediately using six different devices, and approximately $200\mu \mathrm{l}$ of additional capillary blood was tested in duplicate using the laboratory analyzer at each trial site. The samples ranged in glucose concentration from 40.0 to $546\mathrm{mg / dL}$ (as measured with the laboratory-based comparator method, the YSI 2300 analyzer) for the capillary. Five samples were allowed to glycolyze in order to reach low concentrations. One sample was spiked in order to reach high concentration. Results are summarized below:
### Fingertip capillary blood:
System accuracy results for glucose concentration $< 75\mathrm{mg / dL}$
| Lot | Within ± 5 mg/dL | Within ± 10 mg/dL | Within ± 15 mg/dL |
| --- | --- | --- | --- |
| 1 | 22/26 (84.6%) | 26/26 (100.0%) | 26/26 (100.0%) |
| 2 | 19/26 (73.1%) | 26/26 (100.0%) | 26/26 (100.0%) |
| 3 | 16/26 (61.5%) | 26/26 (100.0%) | 26/26 (100.0%) |
System accuracy results for glucose concentration $\geq 75\mathrm{mg / dL}$
| Lot | Within ± 5 % | Within ± 10 % | Within ± 15 % | Within ± 20 % |
| --- | --- | --- | --- | --- |
| 1 | 92/134 (68.7%) | 128/134 (95.5%) | 134/134 (100%) | 134/134 (100%) |
| 2 | 93/134 (69.4%) | 130/134 (97.0%) | 134/134 (100%) | 134/134 (100%) |
| 3 | 87/134 (64.9%) | 128/134 (95.5%) | 134/134 (100%) | 134/134 (100%) |
b. Matrix comparison:
Not applicable
## 3. Clinical studies:
a. Clinical Sensitivity:
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Not applicable.
b. Clinical specificity:
Not applicable.
c. Other clinical supportive data (when a. and b. are not applicable):
Lay User Study
A lay user evaluation study was performed with 160 lay-users to determine whether glucose readings from the fingertip obtained by a lay-user provided with only the device labeling as testing instructions were comparable to results from venous whole blood measured using a laboratory-based comparator method. The labeling provided to the users was in English only. Each participant performed their own fingerstick testing using the device after reading the instructions in the proposed labeling, including the user manual and test strip manual. The samples ranged in glucose concentration from 55.9 to 449 mg/dL (as measured with the laboratory-based comparator method, the YSI 2300 analyzer). Results are summarized below:
**Fingertip capillary blood:**
System accuracy results for glucose concentration < 75 mg/dL
| Within ± 5 mg/dL | Within ± 10 mg/dL | Within ± 15 mg/dL |
| --- | --- | --- |
| 21 /50 (42.0%) | 49/50 (98.0%) | 50/50 (100%) |
System accuracy results for glucose concentration ≥75 mg/dL
| Within ± 5 % | Within ± 10 % | Within ± 15 % | Within ± 20 % |
| --- | --- | --- | --- |
| 57/110 (81.8%) | 105/110 (95.5%) | 110/110 (100%) | 110/110 (100%) |
Linear regression: y = 1.0068x + 4.323; R² = 0.9904
4. Clinical cut-off:
Not applicable.
5. Expected values/Reference range:
The sponsor included the following Expected Values from the literature¹ for normal glucose levels in their test strip labeling:
Before eating < 100 mg/dL
Two hours after meals < 140 mg/dL
¹ American Diabetes Association: Diabetes Care, January 2016, volume 39 (Suppl. 1 Diabetes Care): S16.
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N. Instrument Name:
Smart Dongle Blood Glucose Monitoring System meter
O. System Descriptions:
1. Modes of Operation:
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 ☐
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:
This device is intended to be used with capillary whole blood from the fingertip only. Since the whole blood sample is applied directly to the test strip there are no special handling or storage issues.
5. Calibration:
No user-entered coding or calibration is required for this device.
6. Quality Control:
The system uses FORA control solutions (three concentrations: Level 1, 2, and 3) that were previously cleared in k093724 and are provided separately from the device. Recommendations on when to test the control materials are provided in the labeling. An
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acceptable range for each control level is printed on the test strip vial label. The user is cautioned not to use the meter if the control result falls outside these ranges.
P. Other Supportive Instrument Performance Characteristics Data Not Covered In The "Performance Characteristics" Section above:
1. Hematocrit Study: The effect of different hematocrit levels on the performance of the Taidoc Smart Dongle Blood Glucose Monitoring System was evaluated using whole blood samples manipulated to contain hematocrit levels of 10%, 20%, 30%, 40%, 50%, 60%, and 70% and spiked with glucose (as concentrated dextrose solution; 20,000 mg/dL) to achieve concentrations that covered the claimed measurement range of 20-600 mg/dL. Each sample was then tested 6 times and the individual values were compared with those obtained from a laboratory-based comparator method, YSI 2300 analyzer. The device demonstrated adequate performance across the claimed measurement range when the hematocrit concentrations are 10% and 70%.
2. Altitude study: Claim: Altitude to 10,742 feet (3,275m) does not affect test results. Patient samples at 7 different glucose concentrations spanning the claimed measurement range were tested at simulated altitudes of 0, 5000, 11500, and 15000 feet elevation. Results were compared to results obtained using a laboratory-based comparator method, YSI 2300 analyzer and demonstrated that altitudes up to 15,000 feet above sea level have no significant effect on blood glucose measurements from the Smart Dongle Blood Glucose Monitoring System.
3. Temperature and humidity studies: The sponsor performed temperature and humidity studies using blood samples with three target concentrations of glucose (~65 mg/dL, ~125 mg/dL and ~320 mg/dL) to evaluate temperatures ranging from 50°F to 104°F (10°C to 40°C) and relative humidity from 10% to 85%. Four meters and three lots of blood glucose test strips were evaluated and compared to results using the laboratory-based comparator method, YSI 2300 analyzer. Four temperature and humidity combinations, including low temperature/low humidity, low temperature/high humidity, high temperature/low humidity and high temperature/high humidity were tested using three lots of test strips. No significant effect (relative to the reference method) was observed with any of the temperature and humidity combinations tested. The results support the claims in the labeling that the system can be used in temperatures of 50°F to 104°F with relative humidity of 10 to 85% (10°C to 40°C).
4. Sample Volume Studies: The sponsor performed sample volume studies using venous blood altered to three target glucose concentrations (30-50, 96-144, and 280-420 mg/dL). At each target concentration, samples of different volumes (0.8, 0.9, 1.0, 1.1, 1.2, and 1.3 μl) were measured with the device and compared to results from a laboratory-based comparator method, YSI 2300 analyzer. Three lots of test strips and 5 meters were evaluated. The results support the claimed minimal sample volume of 1.0 μl.
5. Infection Control Studies: The Smart Dongle Glucose Monitoring System is intended for single-patient use. Microkill Plus (EPA Reg.No.59894-10-37549) were validated by an outside testing laboratory to demonstrate complete inactivation of live virus. The
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sponsor also demonstrated that there was no change in performance of the Smart Dongle glucose meter after 10950 cleaning and disinfection cycles (one cycle includes one cleaning wipe plus one disinfecting wipe) to simulate ten cycles of cleaning and disinfection per day over three years. Labeling was reviewed for adequate instructions for the validated cleaning and disinfection procedures.
6. Software: Software documentation was reviewed and demonstrated that the device was developed under appropriate software lifecycle processes.
7. Electromagnetic Compatibility (EMC) testing: The sponsor provided appropriate documentation certifying that electromagnetic (EMC) testing was performed and the device systems were found to be compliant.
8. Customer service is available at 1-888-307-8188 (7:00 am - 6:00 pm PST, Mon. - Fri.). The sponsor indicates that users who need assistance outside of these hours should contact their healthcare professional.
9. Readability: The readability of the Smart Dongle BGMS, and Smart Dongle Blood Glucose Test Strip user manuals were evaluated. The Smart Dongle BGMS user manual and Smart Dongle Test strip manual scored 8.0 and 7.9 respectively on the Flesch-Kincaid scale.
Q. Proposed Labeling:
The labeling is sufficient and it satisfies the requirements of 21 CFR Part 809.10.
R. Conclusion:
The submitted information in this premarket notification is complete and supports a substantial equivalence decision.
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Learn the FDA Browser
Two short videos show you everything — or skip straight to the written tutorial if you'd rather read. You can reopen this any time from the Tutorial button in the top bar.
Part 1 — Search, results, and everyday workflows 16 min
Part 2 — Embeddings: the galaxy map 3 min
1. Search: exact and fuzzy
Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
Use the checkboxes above the results to narrow: SaMD keeps only software-only devices, AI / ML keeps only devices with AI.
Exact vs. fuzzy search: what's the difference?
Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.