TYSONBIO MD100 BLOOD GLUCSE MONITORING ,TYSONBIO MD100 PRO BLOOD GLUCISE MONITORING SYSTEM
K112916 · Tyson Bioresearch, Inc. · NBW · Aug 21, 2012 · Clinical Chemistry
Device Facts
Record ID
K112916
Device Name
TYSONBIO MD100 BLOOD GLUCSE MONITORING ,TYSONBIO MD100 PRO BLOOD GLUCISE MONITORING SYSTEM
Applicant
Tyson Bioresearch, Inc.
Product Code
NBW · Clinical Chemistry
Decision Date
Aug 21, 2012
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 862.1345
Device Class
Class 2
Attributes
Pediatric
Indications for Use
TysonBio MD100 Blood Glucose Monitoring System The TysonBio MD100 Blood Glucose Monitoring System is intended for the quantitative measurement of glucose in capillary whole blood samples. Capillary samples may be drawn from the fingertip, palm and forearm. The TysonBio MD100 Blood Glucose Monitoring System is intended to be used by a single person and should not be shared. The TysonBio MD100 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. The TysonBio MD100 Blood Glucose Monitoring System 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 TysonBio MD100 Test Strips are for use with the TysonBio MD100 Blood Glucose Meter to quantitatively measure glucose in fresh capillary whole blood samples drawn from the fingertips, forearm or palm. The TysonBio MD100 Control Solutions is for use on the TysonBio MD100 Blood Glucose Monitoring Systems to check that the meter and test strips are working together properly and providing accurate results. TysonBio MD100 Pro Blood Glucose Monitoring System The TysonBio MD100 Pro Blood Glucose Monitoring System is intended for the quantitative measurement of glucose in capillary and venous whole blood samples. Capillary samples may be drawn from the fingertip, palm and forearm. The TysonBio MD100 Pro Blood Glucose Monitoring System is intended for testing outside the body (in vitro diagnostic use) and is intended for multiple-patient use in professional healthcare settings as an aid to monitor the effectiveness of diabetes control program. This system should only be used with auto-disabling, single-use landing devices. The TysonBio MD100 Pro Blood Glucose Monitoring System 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 TysonBio MD100 Pro Blood Glucose Test Strips are for use with the TysonBio MD100 Pro Blood Glucose Meter to quantitatively measure glucose in venous whole blood sample and fresh capillary whole blood samples drawn from the fingertips, forearm or palm. The TysonBio MD100 Control Solutions is for use on the TysonBio MD100 Pro Blood Glucose Monitoring Systems to check that the meter and test strips are working together properly and providing accurate results.
Device Story
System measures glucose in capillary/venous whole blood via electrochemical amperometric biosensor using glucose dehydrogenase (FAD). User inserts test strip into meter; meter performs auto-coding. Sample (0.5uL) applied to strip; result displayed in 5 seconds. Used at home (single-patient) or professional settings (multiple-patient). Professional version requires auto-disabling lancing devices. Provides glucose concentration; stores 500 results; calculates 7/14/30-day averages. Aids diabetes management; not for diagnosis/screening. Disinfection validated for multiple-patient use.
Clinical Evidence
Performance evaluated in laboratory and clinical settings by healthcare professionals and lay users. Studies confirmed system accuracy and performance meet intended use requirements. No specific sensitivity/specificity metrics provided in summary.
Technological Characteristics
Electrochemical biosensor; glucose dehydrogenase (FAD) enzyme. Sample volume 0.5uL. Measuring range 20-600 mg/dL. Hematocrit range 10-70%. Operating temperature 10-40°C. Memory capacity 500 results. Power: two AAA batteries. Auto-coding via test strip insertion. Connectivity: not specified.
Indications for Use
Indicated for quantitative glucose measurement in capillary and venous whole blood for diabetes management. MD100 for single-patient home use; MD100 Pro for multi-patient professional healthcare settings. Contraindicated for diabetes diagnosis, screening, or neonatal use. Alternative site testing restricted to steady-state glucose 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
Ascensia Contour Blood Glucose Monitoring System (k062058)
Submission Summary (Full Text)
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# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY ASSAY AND INSTRUMENT COMBINATION TEMPLATE
A. 510(k) Number:
k112916
B. Purpose for Submission:
New device
C. Measurand:
Venous and capillary whole blood glucose from the finger, palm and forearm
D. Type of Test:
Quantitative, electrochemical amperometric biosensor, glucose dehydrogenase, FAD
E. Applicant:
Tyson Bioresearch, Inc.
F. Proprietary and Established Names:
Tyson MD100 Blood Glucose Monitoring System
Tyson MD100 Pro Blood Glucose Monitoring System
TysonBio MD100 Control Solutions
G. Regulatory Information:
1. Regulation section:
| Regulation | Name | Classification | Panel |
| --- | --- | --- | --- |
| 21 CFR § 862.1345 | Glucose test system | II | Chemistry (75) |
| 21 CFR § 862.1660 | Quality control material | I, reserved | Chemistry (75) |
3. Product code:
NBW, System, Test, Blood Glucose, Over the Counter
LFR, Glucose Dehydrogenase, Glucose
JJX, Single (Specified) Analyte Controls
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H. Intended Use:
1. Intended use(s):
See Indications for Use below.
2. Indication(s) for use:
TysonBio MD100 Blood Glucose Monitoring System
The TysonBio MD100 Blood Glucose Monitoring System is intended for the quantitative measurement of glucose in capillary whole blood samples. Capillary samples may be drawn from the fingertip, palm and forearm. The TysonBio MD100 Blood Glucose Monitoring System is intended to be used by a single person and should not be shared. The TysonBio MD100 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. The TysonBio MD100 Blood Glucose Monitoring System 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 TysonBio MD100 Test Strips are for use with the TysonBio MD100 Blood Glucose Meter to quantitatively measure glucose in fresh capillary whole blood samples drawn from the fingertips, forearm or palm.
The TysonBio MD100 Control Solutions is for use on the TysonBio MD100 Blood Glucose Monitoring Systems to check that the meter and test strips are working together properly and providing accurate results.
TysonBio MD100 Pro Blood Glucose Monitoring System
The TysonBio MD100 Pro Blood Glucose Monitoring System is intended for the quantitative measurement of glucose in capillary and venous whole blood samples. Capillary samples may be drawn from the fingertip, palm and forearm. The TysonBio MD100 Pro Blood Glucose Monitoring System is intended for testing outside the body (in vitro diagnostic use) and is intended for multiple-patient use in professional healthcare settings as an aid to monitor the effectiveness of diabetes control program. This system should only be used with auto-disabling, single-use landing devices. The TysonBio MD100 Pro Blood Glucose Monitoring System 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 TysonBio MD100 Pro Blood Glucose Test Strips are for use with the TysonBio MD100 Pro Blood Glucose Meter to quantitatively measure glucose in venous whole blood sample and fresh capillary whole blood samples drawn from the fingertips, forearm or palm.
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The TysonBio MD100 Control Solutions is for use on the TysonBio MD100 Pro Blood Glucose Monitoring Systems to check that the meter and test strips are working together properly and providing accurate results.
3. Special conditions for use statement(s):
- TysonBio MD100 Blood Glucose Monitoring System is for over-the-counter (OTC) use, is for single patient use only and should not be shared
- TysonBio MD100 Pro Blood Glucose Monitoring System is for prescription use and over the counter (OTC), and should only be used with auto-disabling, single use lancing devices
- Not intended for use on neonates
- Not for the diagnosis of or screening for diabetes mellitus
- Not to be used for patients who are dehydrated, hypotensive, in shock, critically ill or in a hyperosmolar state.
- AST measurements should not be used to calibrate continuous glucose monitors or for insulin dose calculations
4. Special instrument requirements:
TysonBio MD100 Blood Glucose Meter
TysonBio MD100 Pro Blood Glucose Meter
I. Device Description:
The TysonBio MD100 and TysonBio MD100 Pro Blood Glucose Monitoring Systems are for single patient and multiple patient use. The systems consist of the Tyson MD100 or Tyson MD100 Pro Blood Glucose Test Strips and the TysonBio MD100, or MD100 Pro Control Solutions. The device uses auto-coding for recognizing different test strip lots. A start up kit consists of the meter, one vial of test strips, user's manual, quick guide, a log book, lancing device and normal control solution.
The EZtake Lancing Device is for single patient use only and is provided with the Tyson MD100 home use start up kit.
The TysonBio MD100 Control Solutions are for use on the TysonBio MD100 and the TysonBio MD100 Pro Blood Glucose Monitoring Systems to check that the meter and test strips are working together properly. One control level is supplied with the start up kit. Subsequent control materials are purchase separately.
J. Substantial Equivalence Information:
1. Predicate device name(s):
Ascensia Contour Blood Glucose Monitoring System
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2. Predicate 510(k) number(s): k062058
3. Comparison with predicate:
| Similarities | | |
| --- | --- | --- |
| Item | Device (k112916) | Predicate (k062058) |
| Intended use | Same | Measurement of glucose for the monitoring of diabetes |
| Test principle | Same | Electrochemical biosensor with glucose dehydrogenase (FAD) |
| Test Sample | Same | Whole blood (Capillary and venous blood) |
| Measuring Time | Same | 5 seconds |
| Coding | Same | Auto coding by inserting the test strip |
| Hypoglycemic and hyperglycemic alarm | Same | 2 user setting alarms |
| Average result | Same | 7,14 and 30days |
| Differences | | |
| --- | --- | --- |
| Item | Device (k112916) | Predicate (k062058) |
| Meter size | 94 mm (H) x 63 mm (W) x 25 mm (T) | 77 mm (H) x 57 mm (W) x 19 mm (T) |
| Meter weight | 60 grams without battery | 47.5 grams |
| Sample volume | 0.5uL | 0.6uL |
| AST | Palm and forearm | Palm, forearm and heel (neonates) |
| Measuring Range | 20-600mg/dL | 10-600mg/dL |
| Hematocrit range | 10-70% | 0 ~70 % |
| Operating Temperature Range: | 10 to 40 °C (50-104°F) | 5 to 45 °C (41-113°F) |
| Humidity | 10-90% | 10-93% |
| Memory Feature | Stores most recent 500 test results | Stores most recent 480 test results |
| Battery Type: | Two AAA batteries | Two 3-volt lithium batteries (DL2032 or CR2032) |
| Battery Life: | Approximately 1000 tests | Approximately 1000 tests (1 yr. average use) |
| Marker | Meal | Meal and log book |
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| Differences | | |
| --- | --- | --- |
| Item | Device (k112916) | Predicate (k062058) |
| Reminder alarm | 4 user setting alarms | Post-Meal Test Alarm |
| Button | Three operating button (M, up and down) One ejection button | Three operating button (M, up and down) |
| Sample type | Capillary and venous whole blood | Capillary, venous and arterial whole blood, neonatal blood samples. |
K. Standard/Guidance Document Referenced (if applicable):
ISO 14971, 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
L. Test Principle:
The device uses an amperometric biosensor used to quantitatively measure glucose in capillary and venous whole blood. The test strips use glucose dehydrogenase, FAD for glucose measurement.
M. Performance Characteristics (if/when applicable):
The meter and test strips for the TysonBio MD100 and TysonBioMD100 Pro Blood Glucose Test Systems are the same components. The two Systems only differ in name and intended use. (single versus multiple patient use). Therefore, 1 set of data are presented for both test systems.
1. Analytical performance:
a. Precision/Reproducibility:
Repeatability studies were performed on the TysonBio MD100 using 5 levels of spiked EDTA venous whole blood with hematocrits of approximately 42%. The samples were spiked with β-D-glucose to concentrations from approximately 42 mg/dL to 357 mg/dL. Glucose concentrations were determined by the YSI 2300 glucose analyzer. Samples were tested 10 times using 10 meters (n=100 total) with each level of blood sample using 3 lots of test strips. Results are summarized below:
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| | YSI | Mean | Bias % | SD | %CV |
| --- | --- | --- | --- | --- | --- |
| Lot 1 | 42.1 | 44.0 | 4.4 | 2.91 | 6.63 |
| | 76.3 | 76.6 | 0.3 | 3.28 | 4.29 |
| | 134 | 134.9 | 0.6 | 4.43 | 3.29 |
| | 238 | 237 | -0.4 | 7.22 | 3.05 |
| | 357 | 353.1 | -1.1 | 10.37 | 2.97 |
| Lot 2 | 43.2 | 44.3 | 2.5 | 3.15 | 7.12 |
| | 74.5 | 74.7 | 0.2 | 3.43 | 4.59 |
| | 130 | 129.5 | -0.4 | 4.60 | 3.56 |
| | 234 | 232.6 | -0.6 | 7.57 | 3.25 |
| | 354 | 349.9 | -1.2 | 9.30 | 2.66 |
| Lot 3 | 44.2 | 45.2 | 2.3 | 2.91 | 6.43 |
| | 73.9 | 73.9 | -2.0 | 3.24 | 4.38 |
| | 133 | 133.8 | 1.3 | 4.12 | 3.08 |
| | 235 | 234.6 | -0.2 | 7.82 | 3.33 |
| | 355 | 351.6 | -1.0 | 10.27 | 2.92 |
Day to day precision test was performed with 3 levels of glucose control solutions: (1) Level 1: $30 - 60\mathrm{mg / dL}$ ; (2) Level 2: $68 - 128\mathrm{mg / dL}$ ; (3) Level 3: $245 - 335\mathrm{mg / dL}$ . 3 lots test strips were used by 3 operators. Samples were tested with 10 measurements obtained from 10 meters with each level of control solution over 10 days.
| | | Lot 1 | Lot 2 | Lot 3 |
| --- | --- | --- | --- | --- |
| Level 1(30-60 mg/dL) | Mean | 39.5 | 42.2 | 41.1 |
| | SD | 2.2 | 2.3 | 2.2 |
| | CV% | 5.5 | 5.3 | 5.4 |
| Level 2(68-128 mg/dL) | Mean | 95.9 | 93.0 | 94.5 |
| | SD | 4.0 | 3.3 | 3.3 |
| | CV% | 4.2 | 3.5 | 3.5 |
| Level 3(245-335 mg/dL) | Mean | 294.1 | 288.4 | 298.1 |
| | SD | 6.5 | 6.3 | 6.9 |
| | CV% | 2.2 | 2.2 | 2.3 |
# b. Linearity/assay reportable range:
Linearity was performed using EDTA venous whole blood samples spiked with $\beta$ -D-glucose to 12 concentrations ranging from $18.7\mathrm{mg / dL}$ to $612\mathrm{mg / dL}$ as determined by the YSI 2300. The samples were tested in quadruplicate on each of 4 meters using three test strip lots. Observed values were plotted against the expected values and least squares regression analysis was used to determine linearity. Summarized data for each lot is presented below.
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| Strip Lot | Slope | Intercept | R2 | Sample range tested mg/dL |
| --- | --- | --- | --- | --- |
| 1 | 0.995 | 1.255 | 0.999 | 23-611 |
| 2 | 1.009 | 1.935 | 1.00 | 22-630 |
| 3 | 1.012 | 1.336 | 0.999 | 20-629 |
Based on the results of this study, the measuring range was determined to be 20-600 mg/dL.
c. Traceability, Stability, Expected values (controls, calibrators, or methods):
Traceability: The method comparison study was performed using the candidate device and the YSI as the reference method (see section M.2.a.). The MD100 and MD100 Pro are autocoding meters.
Control Value Assignment: The three levels of glucose control solutions are analyzed on the YSI 2300 which has been calibrated with NIST traceable materials. Value assignment is based on testing the control materials on multiple meters and test strip lots. The protocols were reviewed and found to be adequate.
Stability:
MD100 Test Strips: Real time and accelerated stability studies were performed for MD100 test strips to assess the shelf-life and open-vial stability. Stability studies protocol and acceptance criteria for open and unopened vials were provided and found to be adequate to support the labeling claims of 3 months for open vial stability when stored tightly closed between 39°F and 86°F (4°C and 30°C) and 18 month shelf life for unopened vials when stored between 39°F and 86°F (4°C and 30°C).
MD100 Control Solutions: Real time stability studies were performed on open and closed vials at three control levels. Stability studies protocol and acceptance criteria for open and unopened vials were provided and found to be adequate to support the labeling claims of 3 months for open vial stability when stored tightly closed between 39°F and 86°F (4°C and 30°C) and 18 month shelf life for unopened vials when stored between 39°F and 86°F (4°C and 30°C).
d. Detection limit:
See linearity study above.
e. Analytical specificity:
Specificity studies were performed using venous whole blood samples with glucose concentrations of 70-90 mg/dL and 200-285 mg/dL. The low and high glucose
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samples were spiked with potential endogenous and exogenous interferents at therapeutic or reference intervals, and at toxic levels or ten times the therapeutic concentrations. One set of samples was unaltered and used as a control. Samples were analyzed in quintuplicate. Significant interference was defined by the sponsor as $> + / - 10\%$ bias relative to the control.
| Substance | Interferent range tested | Highest concentration without interference (mg/dL) |
| --- | --- | --- |
| Acetone | 7.5-60 | 60 |
| Acetaminophen | 1.25-10 | 10 |
| Ascorbic acid | 1.875-15 | 3.75 |
| Alcohol | 43.75-350 | 350 |
| Bilirubin | 2.5-20 | 20 |
| Benzoic acid | 18-144 | 144 |
| Caffeine | 3.75-30 | 30 |
| Cholesterol | 50-400 | 400 |
| Creatinine | 3.75-30 | 30 |
| EDTA | 50-400 | 400 |
| Ephedrine | 0.5-4 | 0.5 |
| Erythromycin | 2.5-20 | 20 |
| Galactose | 125-1000 | 500 |
| Glycerol | 1.15-9.21 | 9.21 |
| Heparin | 7.5-60 | 60 |
| Ibuprofen | 3.74-30 | 30 |
| L-Dopa | 0.375-3.0 | 0.375 |
| Lecithin | 62.5-500 | 500 |
| Maltose | 125-1000 | 500 |
| KCl | 0.932-7.455 | 7.455 |
| Salicylate | 15.6-125 | 125 |
| Sodium Fluoride | 125-1000 | 500 |
| Tetracycline | 0.5-4 | 4 |
| Tolazamide | 12.5-100 | 100 |
| Tolbutamide | 12.5-100 | 100 |
| Triglyceride | 125-1000 | 500 |
| Urea | 62.5-500 | 500 |
| Uric Acid | 5-20 | 15 |
| Xylose | 3-20 | 5 |
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| Mannitol | 100-800 | 800 |
| --- | --- | --- |
| Xylitol | 6.25-50 | 50 |
| Sorbitol | 1.25-10 | 10 |
| Hemoglobin | 0-500 | 500 |
No significant interference is observed for cholesterol up to $400\mathrm{mg / dL}$ , triglyceride up to $500\mathrm{mg / dL}$ , galactose up to $500\mathrm{mg / dL}$ , maltose up to $500\mathrm{mg / dL}$ and xylose up to $5\mathrm{mg / dL}$ .
f. Assay cut-off:
Not applicable.
# 2. Comparison studies:
a. Method comparison with predicate device:
109 Fresh capillary fingerstick samples were collected and analyzed by healthcare professionals using multiple MD100 meters and 3 lots of test strips. 19 additional samples were either glycolyzed to obtain values $< 50 \, \mathrm{mg/dL}$ of glucose or spiked to obtain values $>400 \, \mathrm{mg/dL}$ of glucose. HCPs also collected samples from the palm and forearm. All results were compared to the YSI. Glucose concentrations of the samples ranged from $21.4 \, \mathrm{mg/dL}$ to $535 \, \mathrm{mg/dL}$ , $(n=384)$ . Hematocrits ranged from $10\%-70\%$ . Sample distribution is below:
| YSI range (mg/dL) | Sample number | Distribution (%) |
| --- | --- | --- |
| <50 | 7 | 5.47 |
| 51-80 | 19 | 14.84 |
| 81-120 | 24 | 18.75 |
| 121-200 | 35 | 27.34 |
| 201-300 | 21 | 16.41 |
| 301-400 | 15 | 11.72 |
| >400 | 7 | 5.47 |
Linear regressions for fingerstick studies were calculated for each lot of test strips and the combined comparison of all lots to the YSI 2300 using ISO15197 tables are below:
| | Lot 1 | Lot 2 | Lot 3 |
| --- | --- | --- | --- |
| N | 128 | 128 | 128 |
| Slope | 1.01 | 1.03 | 1.02 |
| Intercept | 0.05 | -3.08 | -0.67 |
| r2 | 0.9812 | 0.9791 | 0.9824 |
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10
Distribution for glucose concentration < 75mg/dL compared to YSI
| within ±5mg/dL | within ±10mg/dL | within ±15mg/dL |
| --- | --- | --- |
| 14/54 (25.9%) | 42/54 (77.8%) | 52/54 (96.3%) |
Distribution for glucose concentration ≥ 75mg/dL compared to YSI
| within ±5 % | within ±10 % | within ±15 % | within ±20 % |
| --- | --- | --- | --- |
| 172/330 (52.1%) | 266/330 (80.6%) | 308/330 (93.3%) | 325/330 (98.5%) |
## Alternative Site Testing (AST):
Linear regressions for AST studies were calculated comparing the MD100 to the YSI 2300 using ISO15197 tables are below:
| HCP vs. YSI | | |
| --- | --- | --- |
| Site | Palm | Forearm |
| Slope | 0.94 | 0.96 |
| Intercept | 7.7 | -0.17 |
| r² | 0.9736 | 0.9647 |
Distribution for glucose concentration < 75mg/dL compared to YSI
| | within ±5mg/dL | within ±10mg/dL | within ±15mg/dL |
| --- | --- | --- | --- |
| Palm | (50%) | (100%) | (100%) |
| Forearm | (50%) | (100%) | (100%) |
Distribution for glucose concentration ≥ 75mg/dL compared to YSI
| | within ±5 % | within ±10 % | within ±15 % | within ±20 % |
| --- | --- | --- | --- | --- |
| Palm | (44.7%) | (71.1%) | (97.4%) | (100%) |
| Forearm | (26.8%) | (47.4%) | (92.1%) | (100%) |
Venous blood studies were performed with 143 whole blood samples collected in K₂ EDTA with glucose concentrations ranging from 23.4 mg/dL to 578 mg/dL. Contrived samples were added to cover low and high glucose ranges. Hematocrits ranged from 10-70%. Samples were analyzed on 3 lots of MD100 test systems and the YSI. Sample distribution, linear regression and agreement with the YSI are presented below:
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| YSI range (mg/dL) | Sample number | Distribution (%) |
| --- | --- | --- |
| *<50 | 6 | 4.2 |
| 51-80 | 21 | 14.7 |
| 81-120 | 29 | 20.3 |
| 121-200 | 41 | 28.7 |
| 201-300 | 23 | 16.1 |
| 301-400 | 16 | 11.2 |
| >400* | 7 | 4.9 |
| | HCP vs YSI |
| --- | --- |
| N | 143 |
| Slope | 0.935 |
| Intercept | 2.660 |
| r² | 0.9794 |
Distribution for glucose concentration $< 75\mathrm{mg / dL}$ compared to YSI
| Venous blood | within ±5mg/dL | within ±10mg/dL | within ±15mg/dL |
| --- | --- | --- | --- |
| HCP | 16/24 (66.7%) | 21/24 (87.5%) | 23/24 (95.8%) |
Distribution for glucose concentration $\geq 75\mathrm{mg / dL}$ compared to YSI
| Venous blood | within ±5 % | within ±10 % | within ±15 % | within ±20 % |
| --- | --- | --- | --- | --- |
| HCP | 55/119(46.2%) | 83/119 (69.7%) | 105/119 (88.2%) | 116/119 (97.5%) |
# b. Matrix comparison:
Matrix comparison studies were performed on 39 natural and 5 altered venous whole blood samples collected in $\mathrm{K}_2\mathrm{EDTA}$ , lithium heparin, and sodium heparin vacutainer tubes. The measuring range evaluated was $26.4\mathrm{mg / dL}$ to $585\mathrm{mg / dL}$ . Samples were analyzed in singlicate on two MD100 meters, one lot of test strips from 10 vials, and the YSI 2300 STAT Plus. Least squares regression and bias was calculated between the MD100 and YSI. Sample distribution, linear regression and accuracy are summarized below.
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| YSI range (mg/dL) | Sample number | Distribution (%) |
| --- | --- | --- |
| <60* | 3 | 6.8 |
| 60-80 | 6 | 13.6 |
| 80-120 | 9 | 20.5 |
| 120-200 | 13 | 29.8 |
| 200-300 | 6 | 13.6 |
| 300-400 | 4 | 9.1 |
| 400-430 | 1 | 2.3 |
| >430 | 2 | 4.5 |
| | K2EDTA | Lithium heparin | Sodium heparin |
| --- | --- | --- | --- |
| Slope | 0.97 | 0.98 | 0.98 |
| Intercept | 4 | 2.1 | 1.4 |
| r² | 0.9909 | 0.9942 | 0.9932 |
Distribution for glucose concentration $< 75\mathrm{mg / dL}$ compared to YSI
| Venous blood | within ±5mg/dL | within ±10mg/dL | within ±15mg/dL |
| --- | --- | --- | --- |
| K2EDTA | 66.7% (4/6) | 83.3% (5/6) | 100% (6/6) |
| Lithium heparin | 50.0% (3/6) | 100% (6/6) | 100% (6/6) |
| Sodium heparin | 66.6% (4/6) | 100% (100) | 100% (6/6) |
Distribution for glucose concentration $\geq 75\mathrm{mg / dL}$ compared to YSI
| Venous blood | within ±5 % | within ±10 % | within ±15 % | within ±20 % |
| --- | --- | --- | --- | --- |
| K2EDTA | 50.0% (19/38) | 81.6% (31/38) | 97.4% (37/38) | 100% (38/38) |
| Lithium heparin | 68.4% (26/38) | 97.4% (37/38) | 100% (38/38) | 100% (38/38) |
| Sodium heparin | 60.5% (23/38) | 92.1 (35/38) | 97.4 (37/38) | 100% (38/38) |
# 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):
Fingerstick and alternative site glucose testing was conducted by lay users at three sites using 3 lots of test strips. English speaking lay users performed self-testing for fingersticks, palm and forearm following instructions in the labeling. The samples ranged from $55.2 - 451\mathrm{mg / dL}$ with hematocrits of $27\% -58\%$ , $n = 120$ fingerstick samples and $n = 109$ samples for each alternative site. Participants were required to
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be in a steady state of glucose metabolism prior to performing the alternative site testing. Sample distribution and results are summarized below.
| YSI range (mg/dL) | Sample number | Distribution (%) |
| --- | --- | --- |
| 55-80 | 17 | 13.3 |
| 80-120 | 28 | 21.9 |
| 120-200 | 40 | 31.3 |
| 200-300 | 20 | 15.6 |
| 300-400 | 12 | 9.4 |
| 400-500 | 4 | 3.1 |
## Regressions for Fingerstick and Alternative Sites
| | Lay | User vs | YSI |
| --- | --- | --- | --- |
| Site | Fingertip | Palm | Forearm |
| Slope | 1.00 | 1.00 | 0.97 |
| Intercept | -0.83 | -1.2 | 0.4 |
| r² | 0.9783 | 0.9501 | 0.9742 |
## Fingerstick results:
Distribution for glucose concentration < 75mg/dL compared to YSI
| | within ±5mg/dL | within ±10mg/dL | within ±15mg/dL |
| --- | --- | --- | --- |
| Fingerstick | 6/11 (55%) | 10/11 (91%) | 11/11 (100%) |
Distribution for glucose concentration ≥ 75mg/dL compared to YSI
| | within ±5 % | within ±10 % | within ±15 % | within ±20 % |
| --- | --- | --- | --- | --- |
| Fingerstick | 49/110 (45%) | 87/110 (79%) | 104/110 (95%) | 107/110 (97%) |
## Alternative Site Testing Results:
Distribution for glucose concentration < 75mg/dL compared to YSI
| | within ±5mg/dL | within ±10mg/dL | within ±15mg/dL |
| --- | --- | --- | --- |
| Palm | 6/11 (54.5%) | 11/11 (100%) | 11/11 (100%) |
| Forearm | 7/11 (63.6%) | 10/11 (90.9%) | 11/11 (100%) |
Distribution for glucose concentration ≥ 75mg/dL compared to YSI
| | within ±5 % | within ±10 % | within ±15 % | within ±20 % |
| --- | --- | --- | --- | --- |
| Palm | 46/109 (42.25%) | 84/109 (77.1%) | 101/109 (92.7%) | 107/109 (98.2%) |
| Forearm | 43/109 (39.4%) | 75/109 (68.8%) | 94/109 (86.2%) | 107/109(98.2%) |
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4. Clinical cut-off:
Not applicable
5. Expected values/Reference range:
Fasting glucose range for a non-diabetic adult is below 110 mg/dL. Values should be less than 140 mg/dL one to two hours after meals.¹
¹American Diabetes Association: Standards of Medical Care in Diabetes-2011, Diabetes Care, 2011:34 (supplement 1), S11-S61.
N. Instrument Name:
TysonBio MD 100 and TysonBio MD 100 Pro
O. System Descriptions:
1. Modes of Operation:
Each test strip is single use and must be replaced with a new strip for additional readings.
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:
The software used with the TysonBio MD100 meter was previously cleared in k081726.
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.
14
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4. Specimen Sampling and Handling:
This device is intended to be used with capillary whole blood from the fingertip, palm, or forearm, or venous whole blood. Samples are applied to directly to the test strip.
5. Calibration:
No calibration is performed by the user. The calibration code is included on each test strip and is read when the test strip is inserted into the meter.
6. Quality Control:
There are 3 levels of glucose control solutions available separately. Level 2 is provided with the start up kit. Recommendations for the frequency of quality control testing are provided in the labeling. An 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. EMC testing was evaluated and certified by Aerospace Industrial Development Corporation and a certificate of compliance was issued to Tyson Bioresearch, Inc on Aug. 20, 2010.
2. Drop tests and vibration tests were conducted and results analyzed pre and post testing with the firm's electronic check strip. The sponsor provided the test report to confirm that vibration tests were conducted on 20 meters at maximum vibration intensity (60 Hz) for 45 minutes. The drop test was conducted at approximately 24 and 35 inches and 30 meters were dropped in 6 different orientations. Results of the MD100 Blood Glucose Meter showed that the changes with the electronic check strip before and after challenge were reviewed and deemed acceptable.
3. Sample volume testing was performed with venous whole blood spiked with glucose to yield concentrations of 43.7, 71.4, 146, 254, 374, and 468 mg/dL as determined by the YSI 2300. 10 measurements were obtained from 10 meters and 3 test strip lots using 0.4, 0.5, 0.6 and 0.7 micL of sample for each glucose concentration. The mean was calculated for each glucose concentration. The data supports the sponsor's recommended sample volume of 0.5 mL.
4. Altitude studies were performed using 5 venous whole blood and adjusting the glucose concentration by spiking or glycosylation. Glucose concentrations ranged from 44-360 mg/dL. Samples were tested 10 times on 5 glucose meters and the YSI at 164 ft, 7545 ft, and 9875 ft. The percent bias was calculated against the YSI and the results were found to support the sponsor claims that the MD100/MD100 Pro meter can be used at altitudes up to 7545 ft.
15
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5. Operating Stability: The MD100 glucose meter and test strips were stored together at various combined temperature and humidity conditions to simulate real time operating conditions. Temperature conditions ranged from 10°C - 40°C (50°F-104°F) and 10%-90% relative humidity (RH). Three whole blood samples with glucose concentrations ranging from 70-300 mg/dL were tested with the stored meters and strips. Results were compared to the YSI and met the pre-determined acceptance criteria of ± 10 mg/dL for samples < 75 mg/dL and less than 10% bias for samples ≥ 75 mg/dL. The data supports the claimed operating temperature and humidity ranges of 10°C - 40°C (50°F-104°F) and 10%-90%, respectively.
6. A study was conducted to evaluate the potential interference from hematocrit. Seven different hematocrit levels ranging from 10-70% (10%, 20%, 30%, 42%, 50%, 60%, 70%) were evaluated and at 4 glucose concentrations (~50 mg/dL, ~100 mg/dL, ~288 mg/dL and ~500 mg/dL). Each sample was tested on 5 meters in singlicate. The differences of the glucose meter results at each hematocrit/glucose combination were calculated against YSI-2300 Glucose Analyzer results at 42% hematocrit.
7. Usability Study: For the user performance study summarized in section M.3.c above, the participants were asked to complete a questionnaire to evaluate the ease of use of the device and the clarity of the English language labeling. Overall the users indicated that they could successfully perform the test and that the user manual was written clearly.
8. A separate usability study was performed for downloading glucose meter results to a personal computer. The study participants were males and females of various ages and educational backgrounds. Users found the software easy to use.
9. Readability Assessment: The sponsor performed a readability assessment of the labeling for the MD100 and MD100 Pro Blood Glucose Monitoring Systems. The labeling is written below a 7th grade level according to the Flesch Kincaid assessment tool.
10. Customer Service number: 1-800-948-3894 available 24 hrs, 7 days a week. An address and website are also provided.
11. Disinfection: The device is intended for single (MD100) and multiple (MD100 Pro) patient use. Cavicide Surface Disinfectant with EPA registration # 46781-6 was validated demonstrating complete inactivation of live hepatitis B virus for use with the materials comprising the meter and lancing device. The sponsor demonstrated that there was no change in performance or in the external materials of the meter after 36,500 cleaning and disinfection cycles designed to simulate cleaning and disinfection 20 times a day, over 5 years of device use. The sponsor also demonstrated that there was no change in performance or in the external materials of the lancing device for single-patient use after 7,300 cleaning and disinfection cycles designed to simulate cleaning and disinfection 4 times a day, over 5 years of device use. The lancing device is only for use with the single-patient use system. Labeling has been reviewed for adequate instructions in validated cleaning and disinfection procedures.
16
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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.
17
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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.