K160944 · Roche Diabetes Care, Inc. · NBW · Aug 31, 2016 · Clinical Chemistry
Device Facts
Record ID
K160944
Device Name
ACCU-CHEK Guide Blood Glucose Monitoring System
Applicant
Roche Diabetes Care, Inc.
Product Code
NBW · Clinical Chemistry
Decision Date
Aug 31, 2016
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 862.1345
Device Class
Class 2
Attributes
Pediatric
Indications for Use
The Accu-Chek Guide Blood Glucose Monitoring System is comprised of the Accu-Chek Guide meter and the Accu-Chek Guide test strips. The Accu-Chek Guide Blood Glucose Monitoring System is intended to quantitatively measure glucose in fresh capillary whole blood from the fingertip, palm, and upper arm as an aid in monitoring the effectiveness of glucose control. The Accu-Chek Guide Blood Glucose Monitoring System is intended for in vitro diagnostic single-patient use by people with diabetes. The Accu-Chek Guide Blood Glucose Monitoring System is intended to be used by a single person and should not be shared. This system is not for use in diagnosis or screening of diabetes mellitus, nor for neonatal use. Alternative site testing should be done only during steady-state times (when glucose is not changing rapidly). Accu-Chek Guide Control Solutions are for use with the Accu-Chek Guide Blood Glucose Monitoring System to check that the meters and test strips are working together properly and that the test is performing correctly.
Device Story
System measures glucose in capillary whole blood (fingertip, palm, upper arm) via amperometric detection on test strips. User applies blood sample to strip; meter uses FAD-GDH enzyme to convert glucose to gluconolactone, generating DC current. Meter evaluates sample and environmental conditions using AC and DC signals. Used by patients with diabetes for self-monitoring; results displayed on meter. Connectivity via USB and Bluetooth Low Energy (BLE) allows data transfer to external devices. System provides quantitative glucose values to aid in monitoring glucose control; helps patients manage diabetes. Not for diagnosis/screening. Includes control solutions to verify system performance.
Clinical Evidence
Performance testing included user accuracy studies and precision analysis. User accuracy for fingertip testing showed 100% within ±15 mg/dL for <75 mg/dL and 100% within ±20% for ≥75 mg/dL. Palm AST accuracy showed 100% within ±15 mg/dL (<75 mg/dL) and 99.7% within ±20% (≥75 mg/dL). Upper arm AST accuracy showed 100% within ±15 mg/dL (<75 mg/dL) and 98.9% within ±20% (≥75 mg/dL). Repeatability precision (within lot) CVs ranged from 2.1% to 3.5%. Reproducibility precision for control solutions showed CVs between 2.3% and 3.1%.
Technological Characteristics
Amperometric glucose test system using FAD-dependent glucose dehydrogenase (GDH) enzyme. Measurement range 20-600 mg/dL. Sample volume 0.6 μL. Connectivity: USB and Bluetooth Low Energy. Operating range: 43-113°F, 10-90% RH. Altitude up to 10,150 ft. Compliant with IEC 60601-1-2 (EMC).
Indications for Use
Indicated for single-patient use by people with diabetes to quantitatively measure glucose in fresh capillary whole blood from fingertip, palm, or upper arm to monitor glucose control effectiveness. Contraindicated for diagnosis or screening of diabetes mellitus, neonatal use, critically ill patients, patients in shock, dehydrated patients, hyper-osmolar patients, or patients with cardiovascular collapse/decreased peripheral blood flow.
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
Accu-Chek Aviva Connect Blood Glucose Monitoring System (K141867)
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# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION MEMORANDUM ASSAY AND INSTRUMENT COMBINATION TEMPLATE
A. 510(k) Number:
k160944
B. Purpose for Submission:
New device
C. Measurand:
Capillary whole blood from fingertip, palm, and upper arm
D. Type of Test:
Quantitative amperometric assay, glucose dehydrogenase (FAD-GDH)
E. Applicant:
Roche Diabetes Care, Inc.
F. Proprietary and Established Names:
ACCU-CHEK Guide Blood Glucose Monitoring System
ACCU-CHEK Guide Control Solutions
G. Regulatory Information:
1. Regulation section:
21 CFR 862.1345, glucose test system
21 CFR § 862.1660, single (specified) analyte controls (assayed and unassayed)
2. Classification:
Class II
Class I, reserved
3. Product code:
NBW, System, Test, Blood Glucose, Over the Counter
LFR, Glucose Dehydrogenase, Glucose
JJX, Quality Control Material (assayed and unassayed)
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4. Panel:
Clinical Chemistry (75)
H. Intended Use:
1. Intended use(s):
See Indications for Use below.
2. Indications(s) for use:
The ACCU-CHEK Guide blood glucose monitoring system is comprised of the ACCU-CHEK Guide meter and the ACCU-CHEK Guide test strips.
The ACCU-CHEK Guide blood glucose monitoring system is intended to quantitatively measure glucose in fresh capillary whole blood from the fingertip, palm, and upper arm as an aid in monitoring the effectiveness of glucose control.
The ACCU-CHEK Guide blood glucose monitoring system is intended for in vitro diagnostic single-patient use by people with diabetes.
The ACCU-CHEK Guide blood glucose monitoring system is intended to be used by a single person and should not be shared.
This system is not for use in diagnosis or screening of diabetes mellitus, nor for neonatal use. Alternative site testing should be done only during steady-state times (when glucose is not changing rapidly).
ACCU-CHEK Guide Control Solutions are for use with the ACCU-CHEK Guide Blood Glucose Monitoring System to check that the meters and test strips are working together properly and that the test is performing correctly.
3. Special conditions for use statement(s):
- Not for use in diagnosis or screening of diabetes mellitus.
- Not for neonatal use.
- Not for use on critically ill patients, patients in shock, dehydrated patients or hyper-osmolar patients.
- Do not use Alternate Site Testing to calibrate a continuous glucose monitoring system or to make insulin dosing calculations.
- Alternate site testing should be done only during steady-state times (when glucose is not changing rapidly).
- Do not use the meter system to measure blood glucose in people who are experiencing cardiovascular collapse (severe shock) or decreased peripheral blood flow.
- Do not use the meter at high hematocrit levels above 65% or low hematocrit levels below 10%.
- This system has not been tested at altitudes higher than 10,150 feet.
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4. Special instrument requirements:
ACCU-CHEK Guide Meter
I. Device Description:
The ACCU-CHEK Guide System consists of the following:
- ACCU-CHEK Guide meter with batteries
- ACCU-CHEK Guide test strips (may be sold separately)
- ACCU-CHEK Guide control solutions (may be sold separately)
Each box of ACCU-CHEK Guide control solutions contains one vial (2.5 mL) of each of the 2 buffered aqueous solutions containing D-glucose: Level 1 and Level 2. These control solutions were previously cleared in k043474 as ACCU-CHEK Aviva Control Solutions.
J. Substantial Equivalence Information:
1. Predicate device name(s):
ACCU-CHEK Aviva Connect Blood Glucose Monitoring System
ACCU-CHEK Aviva Control Solutions
2. Predicate 510(k) number(s):
k141867
k043474
3. Comparison with predicate:
| Similarities | | |
| --- | --- | --- |
| Item | Candidate Device (k160944) | Predicate (k141867) |
| Brand Name | ACCU-CHEK Guide | ACCU-CHEK Aviva Connect |
| Indications for Use/Intended Use | Intended to quantitatively measure glucose (sugar) in fresh capillary whole blood samples as an aid in monitoring the effectiveness of glucose control. | Same |
| Test Principle | Amperometric detection | Same |
| Measurement range | 20-600 mg/dL | Same |
| Sample volume | 0.6 μL | Same |
| Hematocrit range | 10-65% | Same |
| Coding | None | Same |
| Connectivity | USB for PC connectivity and BLE (Bluetooth Low Energy) for wireless | Same |
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| Similarities | | |
| --- | --- | --- |
| Item | Candidate Device (k160944) | Predicate (k141867) |
| | connectivity | |
| Auto Control Solution Identification | Yes | Same |
| Differences | | |
| --- | --- | --- |
| Item | Candidate Device (k160944) | Predicate (k141867) |
| Brand Name | ACCU-CHEK Guide | ACCU-CHEK Aviva Connect |
| Enzyme | FAD-GDH | Mut. Q-GDH |
| Alternate Site Testing | Palm and Upper arm | None |
| Operating Temperature Range | 43-113°F (6 - 45 °C) | 57-100°F (14 - 38 °C) |
| Operating Relative Humidity Range | 10 – 90% | 10 – 80% |
| Maximum Altitude claim | Up to 10,150 feet | Up to 10,000 feet |
| Similarities and Differences | | |
| --- | --- | --- |
| Item | Candidate Device (k160944) | Predicate (k043474) |
| Brand Name | ACCU-CHEK Guide control solutions | ACCU-CHEK Aviva control solutions |
| Indications for Use/Intended Use | For use to check that the meters and test strips are working together properly and that the test is performing correctly. | Same |
| Control Level | 2 levels | Same |
| Control Type | Aqueous | Same |
| Unopened Shelf-life | 24 months | Same |
## K. Standard/ Guidance Document Referenced (if applicable):
- CLSI EP7-A2, Interference Testing in Clinical Chemistry; Approved Guideline.
- IEC 60601-1-2 Medical electrical equipment - Part 1-2: General requirements for basic safety and essential performance - Collateral Standard: Electromagnetic disturbances - Requirements and tests, 4th edition.
## L. Test Principle:
The enzyme on the test strip, an FAD-dependent glucose dehydrogenase (GDH) expressed in Aspergillus Oryzae, converts the glucose in the blood to gluconolactone. This reaction creates a DC electrical current that the meter interprets for the blood glucose result. The sample and the environmental conditions are evaluated using AC and DC signals.
## M. Performance Characteristics (if/when applicable):
1. Analytical performance:
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a. Precision/Reproducibility:
Repeatability studies were performed with venous whole blood samples at 5 glucose concentration ranges using 3 test strip lots and 10 ACCU-CHEK Guide meters. Ten runs were performed on each sample with 10 replicates per strip lot resulting in a total of 100 replicates collected for each test strip lot and each glucose level tested. Results are summarized below:
| Glucose Level | 30-50 (mg/dL) | | | 50-110 (mg/dL) | | | 110-150 (mg/dL) | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Test Strip Lot | 1 | 2 | 3 | 1 | 2 | 3 | 1 | 2 | 3 |
| Mean (mg/dL) | 40.3 | 40.3 | 40.9 | 81.7 | 81.2 | 82.4 | 131.9 | 131.2 | 133.3 |
| SD | 1.4 | 1.3 | 1.3 | 2.1 | 2.0 | 1.8 | 2.4 | 2.8 | 2.6 |
| CV% | 3.5 | 3.2 | 3.2 | 2.5 | 2.4 | 2.2 | 1.8 | 2.1 | 2.0 |
| N | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |
| Glucose Level | 150-250 (mg/dL) | | | 250-400 (mg/dL) | | |
| --- | --- | --- | --- | --- | --- | --- |
| Test Strip Lot | 1 | 2 | 3 | 1 | 2 | 3 |
| Mean (mg/dL) | 206.0 | 204.4 | 209.6 | 330.2 | 328.1 | 332.4 |
| SD | 5.0 | 5.8 | 4.0 | 8.5 | 9.6 | 7.2 |
| CV% | 2.4 | 2.8 | 1.9 | 2.6 | 2.9 | 2.2 |
| N | 100 | 100 | 100 | 100 | 100 | 100 |
Intermediate precision was evaluated using three glucose linearity solutions, Level 2, Level 3, and Level 4 using 3 test strip lots and 10 ACCU-CHEK Guide meters. One run was performed on each of ten days with each glucose linearity solution in 10 replicates per strip lot, resulting in a total of 100 replicates collected for each test strip lot and each glucose linearity solution tested. Results are summarized below:
| Glucose Linearity solution | Level 2 | | | Level 3 | | | Level 4 | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Test Strip Lot | 1 | 2 | 3 | 1 | 2 | 3 | 1 | 2 | 3 |
| Mean (mg/dL) | 45.2 | 44.8 | 44.6 | 116.4 | 116.9 | 116.6 | 298.1 | 297.8 | 296.5 |
| SD | 1.4 | 1.4 | 1.4 | 2.6 | 2.5 | 3.3 | 6.6 | 6.6 | 7.2 |
| CV% | 3.1 | 3.1 | 3.1 | 2.2 | 2.2 | 2.8 | 2.2 | 2.2 | 2.4 |
| N | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |
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b. Linearity/assay reportable range:
Linearity was evaluated using 3 test strip lots and 36 ACCU-CHEK Guide meters by testing 10 venous blood samples with glucose concentrations ranging from 14 to 603.2 (14, 38.8, 60.8, 89.7, 123.4, 155.7, 198.8, 289, 449.4, 603.2) mg/dL. One run (across all 36 meters) was performed with each sample using each of the strip lots. The values from the ACCU-CHEK Guide meter were compared with those obtained from the reference method. The results from regression analysis are summarized below:
Lot #1: y=0.974x+0.097; R² = 0.998
Lot #2: y=0.955 x+0.51; R² = 0.998
Lot #3: y=0.957 x+1.55; R² = 0.998
The results of the study support the sponsor’s claimed glucose measurement range of 20 to 600 mg/dL. The meter will display “LO” when the result is less than 20 mg/dL and “HI” when result is greater than 600 mg/dL. The sponsor validated the “LO” and “HI” functions and demonstrated that they functioned as intended.
c. Traceability, Stability, Expected values (controls, calibrators, or methods):
Traceability: According to the sponsor, the ACCU-CHEK Guide system is traceable to the NIST SRM 917 glucose reference material. A method comparison was performed using the candidate device and a perchloric acid hexokinase method (PCA-HK, Roche Cobas c 501) as the reference method (see Section 2.a.)
Value Assignment for Control Solutions: The previously cleared (k043474) ACCU-CHEK Aviva control solutions (Levels 1 and 2) are available for use with the ACCU-CHEK Guide test system as ACCU-CHEK Guide Control Solutions. Value assignment for the control solutions is established for the ACCU-CHEK Guide test system and is based on the mean of repeated measurements compared to the established target values for each level. The control solution ranges are printed on the test strip vial label.
Control Solution Stability: Protocols and acceptance criteria for open vial and closed vial (shelf-life) stability for the control solutions were previously reviewed and found to be acceptable under k043474. The labeling claims are 24 month shelf life stability and 3 month open-vial stability when stored at the recommended storage temperatures of 36°F to 90°F (2°C to 32°C). Labeling instructs the user not to freeze the solutions.
Test Strip Stability: The protocols and acceptance criteria for the ACCU-CHEK Guide test strips were reviewed and found to be acceptable. The sponsor claims that both closed-vial (shelf life) and open-vial stability are up to 18 months when stored at the recommended storage temperatures of 39-86°F (4-30°C) and 10-90% RH. The labeling instructs the users not to freeze the test strips.
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d. Detection limit:
The reportable range for the ACCU-CHEK Guide Blood Glucose Monitoring System is 20 to $600\mathrm{mg / dL}$ . This range was verified by the linearity study (M.1.b).
# e. Analytical specificity:
To assess potential interference the sponsor used venous whole blood samples adjusted to 3 different glucose levels of 70, 120 and $250\mathrm{mg / dL}$ , split into a control sample and a test sample. Various endogenous and exogenous substances were then added to the test sample only. The $\%$ difference between the test and control sample was calculated and the concentration tested at which no significant interference was observed is presented in the table below:
| Potential Interfering Substance | Concentration at which no significant interference is observed (mg/dL) | | Potential Interfering Substance | Concentration at which no significant interference is observed (mg/dL) |
| --- | --- | --- | --- | --- |
| Acetaminophen | 20 | | L-Dopa | 2 |
| Ascorbic acid | 5 | | Maltitol | 20.2 |
| Bilirubin (unconjugated) | 60 | | Maltose | 360 |
| Cholesterol | 500 | | Mannitol | 600 |
| Creatinine | 30 | | Methyl Dopa | 1.5 |
| Dopamine | 0.09 | | Pyridinealdoxime Methiodide (PAM) | 25 |
| Galactose | 300 | | Salicylic Acid | 60 |
| Gentisic Acid | 1.8 | | Sorbitol | 70 |
| Glutathione (reduced) | 6.14 | | Tolazamide | 200 |
| Hemoglobin | 1000 | | Tolbutamide | 100 |
| Heparin (Li) | 8000 U/dL | | Triglycerides | 1800 |
| Ibuprofen | 50 | | Uric Acid | 23.5 |
| Lactitol | 100 | | Xylitol | 200 |
The sponsor has the following limitations in their labeling:
- Abnormally high concentrations of ascorbic acid (vitamin C) resulting in blood concentration in excess of $5\mathrm{mg / dL}$ may cause inaccurate results. If you are not sure please check with your doctor.
- Do not use this system during xylose absorption test.
f. Assay cut-off:
Not Applicable
2. Comparison studies:
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a. Method comparison with predicate device:
To assess system accuracy, results from the ACCU-CHEK Guide Blood Glucose Monitoring System were compared to a reference method, PCA-HK (Roche Cobas c 501). Capillary samples from 361 participants with glucose concentrations ranging from $47.3 - 410.1\mathrm{mg / dL}$ glucose obtained on the reference were measured using one of three test strip lots by a technician. The natural sample results relative to reference are summarized in the tables below:
ACCU-CHEK Guide vs. Reference for natural fingerstick samples For glucose concentrations $< 75\mathrm{mg / dL}$
| within ± 5 mg/dL | within ± 10 mg/dL | within ± 15 mg/dL |
| --- | --- | --- |
| 9/11 (81.8%) | 11/11 (100%) | 11/11 (100%) |
For glucose concentrations $\geq 75\mathrm{mg / dL}$
| within ± 5 % | within ± 10 % | within ± 15 % | within ± 20 % |
| --- | --- | --- | --- |
| 239/350 | 342/350 | 350/350 | 350/350 |
| (68.3%) | (97.7%) | (100%) | (100%) |
Linear regression results ACCU-CHEK Guide capillary vs. whole blood PCA-HK reference $(N = 361)$ :
$\mathrm{Y} = 0.94\mathrm{X} + 3.44$ $\mathrm{r} = 0.996$
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 Study:
To assess the performance of the ACCU-CHEK Guide Blood Glucose Monitoring System in the hands of lay users the sponsor performed a study with 120 lay user participants. Results were analyzed by comparing blood glucose results from finger stick samples using the ACCU-CHEK Guide meter obtained by the lay users against the reference method value (PCA-HK). The samples ranged from 60.3 to 457.7
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mg/dL as measured by the reference method. The results are summarized in the tables below:
Lay-user finger stick results ACCU-CHEK Guide vs. PCA-HK reference:
For glucose concentrations $< 75\mathrm{mg / dL}$
| within ± 5 mg/dL | within ± 10 mg/dL | within ± 15 mg/dL |
| --- | --- | --- |
| 8/12 (66.7%) | 12/12 (100%) | 12/12 (100%) |
For glucose concentrations $\geq 75\mathrm{mg / dL}$
| within ± 5 % | within ± 10 % | within ± 15 % | within ± 20 % |
| --- | --- | --- | --- |
| 63/108 | 103/108 | 107/108 | 108/108 |
| (58.3%) | (95.4%) | (99.1%) | (100%) |
Regression Analysis finger stick results ACCU-CHEK Guide vs. PCA-HK reference by lay users:
$\mathrm{Y} = 0.95\mathrm{X} + 3.56;\mathrm{r} = 0.994$
All 120 lay users were provided with labeling for the ACCU-CHEK Guide blood glucose monitoring system. No other training or prompting was provided to the subjects. The subjects then performed their own capillary finger stick and dosed one ACCU-CHEK Guide test strip without any assistance from the technician. After testing was completed, the subjects then filled out a questionnaire regarding their experience with the testing and product labeling. The study demonstrated success in the operation of the ACCU-CHEK Guide glucose system in the hands of lay users.
Alternative Site Test (Palm Site) by Lay Users:
Alternate Site study at palm site was performed by a total of 372 volunteers. Each lay user measured his/her own samples, while another blood sample from each lay user was also collected by a technician and measured by the reference method (PCA-HK). The samples ranged from 48.6 to $457.7\mathrm{mg / dL}$ as measured by the reference method. The results are summarized in the tables below:
Lay-user Palm Results Guide vs. PCA-HK reference:
For glucose concentrations $< 75\mathrm{mg / dL}$
| within ± 5 mg/dL | within ± 10 mg/dL | within ± 15 mg/dL |
| --- | --- | --- |
| 8/9 (88.9%) | 9/9 (100%) | 9/9 (100%) |
For glucose concentrations $\geq 75\mathrm{mg / dL}$
| within ± 5 % | within ± 10 % | within ± 15 % | within ± 20 % |
| --- | --- | --- | --- |
| 175/363 | 308/363 | 356/363 | 362/363 |
| (48.2%) | (84.8%) | (98.1%) | (99.7%) |
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Regression Analysis palm results ACCU-CHEK Guide vs. PCA-HK reference by lay users:
$$
Y = 0.94X + 2.00; r = 0.991
$$
Alternative Site Test (Upper Arm Site) by Lay Users:
Alternate Site study at upper arm site was performed by a total of 365 volunteers who had hematocrit between 30 and 53%. Each lay user measured his/her own samples, while another blood sample from each lay user was also collected by a technician and measured by the reference method (PCA-HK). The samples ranged from 49.9 to 410.2 mg/dL as measured by the reference method. The results are summarized in the tables below:
Lay-user Upper Arm Results Guide vs. PCA-HK reference:
For glucose concentrations < 75 mg/dL
| within ± 5 mg/dL | within ± 10 mg/dL | within ± 15 mg/dL |
| --- | --- | --- |
| 7/10 (88.9%) | 10/10 (100%) | 10/10 (100%) |
For glucose concentrations ≥ 75 mg/dL
| within ± 5 % | within ± 10 % | within ± 15 % | within ± 20 % |
| --- | --- | --- | --- |
| 156/355 | 281/355 | 337/355 | 351/355 |
| (43.9%) | (79.2%) | (94.9%) | (98.9%) |
Regression Analysis upper arm results ACCU-CHEK Guide vs. PCA-HK reference by lay users:
$$
Y = 0.91X + 5.25; r = 0.978
$$
4. Clinical cut-off:
Not Applicable
5. Expected values/Reference range:
| Time of day | People without diabetes |
| --- | --- |
| Fasting and before meals | <100 mg/dL |
| 2 hours after meals | <140 mg/dL |
American Diabetes Association: Classification and Diagnosis of Diabetes. Sec. 2. Standards of Medical Care in Diabetes-2016. Diabetes Care, 39, (Suppl. 1), S13-S22, 2016.
N. Instrument Name:
ACCU-CHEK Guide Blood Glucose Meter
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O. System Description:
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 ☐ X or No ☐
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:
Samples are applied directly to the test strip as they are collected. The ACCU-CHEK Guide meter memory stores up to 720 glucose test results with the time and date of the test and up to 32 control solutions results.
4. Specimen Sampling and Handling:
This device is intended to quantitatively measure glucose in fresh capillary whole blood from the finger, psalm and upper arm. There is not patient identification with this system.
5. Calibration:
The meter does not require calibration or coding by the user.
6. Quality Control:
The ACCU-CHEK Guide Control Solutions are used as quality control checks to make sure that the ACCU-CHEK Guide system and ACCU-CHEK Guide test strips are working correctly. The labeling provides instructions on when quality control testing should be performed. Once the control solution result is displayed on the meter a control bottle symbol and a flashing L are displayed prompting the user to select the control solution level that was used.
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# P. Other Supportive Instrument Performance Characteristics Data Not Covered In the "Performance Characteristics" Section above:
1) **Hematocrit study:**
The effect of different hematocrit levels was evaluated using venous whole blood samples with hematocrit levels of 10 – 65% (10,15, 20, 25, 30, 45, 50, 55, 60, and 65%) spiked with glucose to achieve target concentrations of 40, 80, 127, 200, and 360 mg/dL. A total of 30 replicates were performed on 30 ACCU-CHEK Guide meters for each combination of strip lot, glucose concentration, and hematocrit level. The results demonstrated that the ACCU CHEK Guide Blood Glucose Monitoring System produces accurate results over the claimed hematocrit range of 10 – 65%.
2) **Altitude study:**
To evaluate the effects of altitude on the Guide system results, venous blood samples from three donors were altered to 5 glucose concentrations (60, 110, 160, 350 and 500 mg/dL) and tested at 10,150 feet above sea level. The meter results were compared to those obtained with the reference method (PCA-HK). The results demonstrate acceptable bias to the reference to support the claims in the labeling that altitudes up to 10,150 feet have no significant effect on blood glucose measurements from the ACCU-CHEK Guide Blood Glucose Monitoring System.
3) **Temperature and humidity studies:**
The sponsor performed temperature and humidity studies using venous blood samples at target glucose concentrations of 70, 120, and 250 mg/dL to evaluate temperatures ranging from 39-113°F (4-45°C) and relative humidity from 10-90%. Six combinations of the claimed temperature and humidity operating conditions, including low temperature/low humidity, high temperature/low humidity, low temperature/high humidity, and high temperature/high humidity conditions, were evaluated and meter results compared to a reference method. The results support the claimed range of operating conditions: 43-113°F (6-45°C) and 10-90% relative humidity.
4) **Sample volume study:**
The sponsor performed a sample volume study with 24 ACCU-CHEK Guide meters to support the claimed minimum sample volume requirement of 0.6 μL using blood samples at three glucose concentrations (45, 120, 450 mg/dL). The system displays an error code when insufficient sample is detected. Results support the claimed sample volume of 0.6 μL and demonstrate that insufficient sample volume error function is effective.
5) **Infection Control Studies:**
The device is intended for single-patient use. Disinfection efficacy studies were performed on the materials comprising the meter by an outside commercial testing laboratory demonstrating complete inactivation of hepatitis B virus (HBV) with the chosen disinfectant, Super Sani-Cloth (EPA registration #9480-4). Robustness studies were also performed by the sponsor demonstrating that there was no change in performance or external materials of the meter after 260 cleaning and disinfection cycles
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(representing weekly disinfection for 5 years, the expected lifetime of the meter). The subject device labeling was reviewed for adequate instructions for the validated cleaning and disinfection procedures.
6) The sponsor provided appropriate documentation certifying that electromagnetic (EMC) testing was performed and the ACCU-CHEK Guide Blood Glucose Monitoring Systems was found to be compliant.
7) ACCU-CHEK Customer Care Service Center is available 24 hours a day, 365 day a year by calling 1-800-858-8072.
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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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.