ACCU-CHEK Performa Blood Glucose Monitoring System
Applicant
Roche Diagnostics
Product Code
NBW · Clinical Chemistry
Decision Date
Aug 29, 2014
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 862.1345
Device Class
Class 2
Indications for Use
The ACCU-CHEK Performa Blood Glucose Monitoring System is intended to be used for the quantitative measurement of glucose (sugar) in venous whole blood or fresh capillary whole blood from the fingertips. The ACCU-CHEK Performa 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 in monitoring the effectiveness of glucose control. This system should only be used with single-use, auto-disabling lancing devices. The ACCU-CHEK Performa Blood Glucose Monitoring System should not be used for the diagnosis of or screening for diabetes. This system is also not for neonatal use. The ACCU-CHEK Performa test strips are for use with the ACCU-CHEK Performa meter to quantitatively measure glucose (sugar) in venous whole blood or fresh capillary whole blood samples from the fingertips.
Device Story
System measures glucose in venous or capillary whole blood; utilizes ACCU-CHEK Performa test strips and meter. Principle of operation: amperometric detection using Mut. Q-GDH enzyme. User inserts test strip into meter; applies blood sample to yellow window. Meter performs integrity check on strip resistance/conductivity before dosing; calculates glucose concentration; displays result. Used in professional healthcare settings; operated by clinicians. Provides quantitative glucose values to aid monitoring of glucose control. Benefits patient by facilitating effective glucose management.
Clinical Evidence
Bench testing only. Precision studies (repeatability/intermediate) performed with venous blood and linearity solutions (n=100-300 per level). Method comparison (n=105 capillary, n=427 venous) against PCA-HK reference method showed high correlation (r=0.995-0.997). User performance study (n=192 lay users) confirmed accuracy. Hematocrit (10-65%), altitude (up to 10,000 ft), temperature, humidity, and sample volume (0.6 μL) studies verified performance. Disinfection efficacy against HBV validated for multiple-patient use.
Technological Characteristics
Electrochemical biosensor; mutant quinoprotein glucose dehydrogenase (Mut. Q-GDH) reagent; Nitrosoaniline mediator. Dimensions: 3.7 x 2.1 x 0.9 in. Power: 3V CR2032 lithium coin cell. Connectivity: None (standalone). Calibration: Lot-specific code key. Standards: ISO 15197, CLSI EP5-A2, CLSI EP7-A2.
Indications for Use
Indicated for quantitative measurement of glucose in venous or capillary whole blood from fingertips in professional healthcare settings for monitoring glucose control. Contraindicated for diabetes diagnosis/screening and neonatal use. Not for use in patients with impaired peripheral circulation (e.g., severe dehydration, hypotension, shock, NYHA Class IV heart failure, peripheral arterial occlusive disease) or critically ill patients.
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 Inform II System (k121679)
Submission Summary (Full Text)
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# 510(k) SUBSTANTIAL EQUIVALENCE DETERMINATION DECISION SUMMARY ASSAY AND INSTRUMENT COMBINATION TEMPLATE
A. 510(k) Number:
k133741
B. Purpose for Submission:
New device – Combining the previously cleared Inform II test strips (k121679; with a modified GDH-PQQ methodology) with the previously cleared Performa meter (k070585)
C. Measurand:
Venous and capillary whole blood glucose from the fingertip
D. Type of Test:
Quantitative amperometric assay, glucose dehydrogenase (mutant GDH-PQQ)
E. Applicant:
Roche Diagnostics Corporation
F. Proprietary and Established Names:
ACCU-CHEK Performa Blood Glucose Monitoring System
G. Regulatory Information:
1. Regulation section:
21 CFR 862.1345, Glucose test system
2. Classification:
Class II
3. Product code:
NBW, System, Test, Blood Glucose, Over the Counter
LFR, Glucose Dehydrogenase, Glucose
4. Panel:
Clinical Chemistry (75)
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H. Intended Use:
1. Intended use(s):
See Indications for Use below.
2. Indications(s) for use:
The ACCU-CHEK Performa Blood Glucose Monitoring System is intended to be used for the quantitative measurement of glucose (sugar) in venous whole blood or fresh capillary whole blood from the fingertips. The ACCU-CHEK Performa 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 in monitoring the effectiveness of glucose control. This system should only be used with single-use, auto-disabling lancing devices.
The ACCU-CHEK Performa Blood Glucose Monitoring System should not be used for the diagnosis of or screening for diabetes. This system is also not for neonatal use.
The ACCU-CHEK Performa test strips are for use with the ACCU-CHEK Performa meter to quantitatively measure glucose (sugar) in venous whole blood or fresh capillary blood samples from the fingertips.
3. Special conditions for use statement(s):
- For in vitro diagnostic use only
- Not for use in diagnosis or screening of diabetes mellitus
- Not for neonatal use
- If peripheral circulation is impaired, collection of capillary blood from the approved sample sites is not advised as the results might not be a true reflection of the physiological blood glucose level. This may apply in the following circumstances: severe dehydration as a result of diabetic ketoacidosis or due to hyperglycemic hyperosmolar non-ketotic syndrome, hypotension, shock, decompensated heart failure NYHA Class IV, or peripheral arterial occlusive disease.
- The performance of this meter has not been evaluated on critically ill patients.
- For use with single-use, auto-disabling lancing devices
4. Special instrument requirements:
ACCU-CHEK Performa Meter
I. Device Description:
The ACCU-CHEK Performa Blood Glucose Monitoring System consists of a the ACCU-CHEK Performa meter, ACCU-CHEK Performa test strips (sold separately; code key provided in test strip vials), ACCU-CHEK Inform II control solutions (Levels 1 and 2; sold
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separately), ACCU-CHEK Inform II Linearity Test Kit (6 levels; sold separately), and Operator's Manual.
The enzyme on the test strip is a mutant variant of quinoprotein glucose dehydrogenase (Mut. Q-GDH), from Acinetobacter calcoaceticus, recombinant in E. coli. and uses Nitrosoaniline as a mediator.
Each box of ACCU-CHEK Inform II 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 k121679.
The ACCU-CHEK Inform II Linearity Test Kit contains 2.5 mL of each of the 6 buffered aqueous solutions containing D-glucose: (ACCU-CHEK Linearity 1-6, These linearity solutions were previously cleared in k121679.
# J. Substantial Equivalence Information:
1. Predicate device name(s):
ACCU-CHEK Inform II Blood Glucose Monitoring System
2. Predicate 510(k) number(s):
k121679
3. Comparison with predicate:
| Similarities | | |
| --- | --- | --- |
| Item | Predicate (k121679) | Candidate Device |
| Brand Name | ACCU-CHECK Inform II | ACCU-CHEK Performa |
| Indications for Use/Intended Use | To quantitatively measure glucose (sugar) in whole blood, as an aid in monitoring the effectiveness of glucose control. | Same |
| Enzyme | Glucose Dehydrogenase – PQQ modified by site-directed mutagenesis (Mutant Q-GDH) | Same |
| Test Principle | Amperometric detection | Same |
| Measuring time | 5 sec | Same |
| Sample volume | 0.6 μL | Same |
| Hematocrit range | 10-65% | Same |
| Altitude claim | Up to 10,000 feet | Same |
| Coding | Lot-specific blood glucose measurement parameters are programmed into code key | Same |
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| Differences | | |
| --- | --- | --- |
| Item | Predicate (k121679) | Candidate Device |
| Brand Name | ACCU-CHECK Inform II | ACCU-CHEK Performa |
| Measurement range | 10-600 mg/dL | 20-600 mg/dL |
| Sample Site | Venous, arterial, capillary fingerstick and neonate heelstick | Venous, and capillary fingerstick |
| Code Key Port | Code key inserts into code key reader which transfer data to meter via IR communication | Code key inserts directly into code key slot in meter |
| Battery | 3.7 V rechargeable battery pack (lithium technology) | One 3-volt lithium type CR2032 coin cell |
| Bar Code Scanner | Yes | None |
| Transmission of Retrospective Data to External Devices | Wirelessly to WLAN through RF communication or to docking station base unit through IR data port | None |
| Meter Physical Appearance | 7.60 in x 3.74 in x 1.73 in (LWH), 0.83 lbs | 3.7 in x 2.1 in x 0.9 in (LWH), 0.14 lbs |
K. Standard/ Guidance Document Referenced (if applicable):
- ISO 15197: In vitro diagnostic test systems - Requirements for blood-glucose monitoring systems for self-testing in managing diabetes mellitus.
- CLSI EP5-A2, Evaluation of Precision Performance of Quantitative Measurement Methods; Approved Guideline.
- CLSI EP7-A2, Interference Testing in Clinical Chemistry; Approved Guideline.
L. Test Principle:
The test is based on electrochemical biosensor technology and the principle of capillary action. The electrical current generated by the reaction of glucose with the reagent of the strip is measured by the meter and is displayed as the corresponding blood glucose level. The strength of the current produced by the reaction depends on the amount of glucose in the blood sample.
M. Performance Characteristics (if/when applicable):
1. Analytical performance:
a. Precision/Reproducibility:
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Repeatability studies were performed with venous whole blood samples at five glucose concentration ranges using 3 test strip lots. Ten runs were performed on each sample with 5 replicates per run/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) | 36.7 | 36.6 | 37.1 | 79.1 | 78.9 | 81.1 | 132.5 | 131.6 | 134.6 |
| SD | 1.6 | 1.4 | 1.7 | 2.6 | 3.2 | 2.7 | 4.5 | 4.8 | 4.4 |
| CV% | 4.4 | 3.7 | 4.7 | 3.3 | 4.1 | 3.4 | 3.4 | 3.6 | 3.3 |
| 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) | 213.6 | 208.6 | 216.2 | 342.9 | 336.4 | 345.3 |
| SD | 7.6 | 7.8 | 7.9 | 11.9 | 11.8 | 10.2 |
| CV% | 3.6 | 3.7 | 3.6 | 3.5 | 3.5 | 3.1 |
| n | 100 | 100 | 100 | 100 | 100 | 100 |
Intermediate precision was evaluated using three glucose linearity solutions, Level 2, Level 3, and Level 4. Ten strip vials, from three test strip lots, were assigned to each of the three linearity levels. From each strip vial, a test was performed on each of the 3 linearity level solutions for 10 days. A total of 10 replicates were collected per vial, strip lot, and glucose level tested for a total of 300 measurements per glucose level. Results are summarized below:
| Glucose Level | Level 2 (45 mg/dL) | | | Level 3 (118 mg/dL) | | | Level 4 (307 mg/dL) | | |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| Test Strip Lot | 1 | 2 | 3 | 1 | 2 | 3 | 1 | 2 | 3 |
| Mean (mg/dL) | 45.5 | 45.6 | 45.8 | 118.2 | 118.9 | 118.8 | 310.4 | 310.5 | 310.8 |
| SD | 1.1 | 1.2 | 1.5 | 2.5 | 2.9 | 2.7 | 5.6 | 6.7 | 6.6 |
| CV% | 2.3 | 2.7 | 3.2 | 2.1 | 2.4 | 2.3 | 1.8 | 2.1 | 2.1 |
| n | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 |
b. Linearity/assay reportable range:
Linearity was evaluated using 3 test strip lots and 11 venous blood samples ranging in glucose concentrations from 1.7 to $583.2\mathrm{mg / dL}$ (1.7, 16.2, 38.3, 57.1, 85.2, 114.8,
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144.4, 191.0, 293.2, 440.0, and 583.2 mg/dL). Three runs were performed on each sample, on each strip lot, with replicates of 8 for each run and test strip lot resulting in a total of 24 replicates for each test strip lot and glucose level tested. The values from the Performa meter were compared with those obtained from the reference method. The results from regression analysis are summarized below:
Lot #1: y=1.038 x+3.08; R² = 0.998
Lot #2: y=1.028 x+2.14; R² = 0.998
Lot #3: y=1.003 x+2.8614; R² = 0.998
The results of the study support the sponsor’s claimed glucose measurement range of 20 to 600 mg/dL.
c. Traceability, Stability, Expected values (controls, calibrators, or methods): According to the sponsor, the ACCU-CHEK Performa system is traceable to the NIST SRM 917 glucose reference material. A method comparison was performed using the candidate device and a hexokinase method (Hitachi 917) as the reference method (see Section 2.a.)
Value Assignment for Control Solutions and Linearity Set: The previously cleared (k121679) ACCU-CHEK Inform II control solutions (Levels 1 and 2) and 6 levels of the ACCU-CHEK Inform II Linearity Test Kit (Levels 1 to 6) are available for use with the ACCU-CHEK Performa test system. The Linearity Solutions levels 2 and 4 are the same as the Control solution levels 1 and 2, respectively. Value assignment for the control solutions and linearity set is established for the ACCU-CHEK Performa test system and is based on the mean of repeated measurements compared to the established target values for each level. The target values for the linearity levels are provided in the linearity kit package insert and the control solution ranges are printed on the test strip vial label.
Control Solution and Linearity Set Stability: Protocols and acceptance criteria for open vial and closed vial (shelf-life) stability for the control solutions and linearity set solutions were previously reviewed and found to be acceptable under k121679. The labeling claims are 24 month shelf life stability and 3 month open-vial stability when stored at the recommended storage temperatures of 39°F to 86°F (4°C to 30°C). Labeling instructs the user not to freeze the solutions.
The protocols and acceptance criteria for the ACCU-CHEK Inform II test strips were previously reviewed and found to be acceptable under k121679. The sponsor claims closed-vial (shelf life) and open-vial stability of 18 months when stored at 39-86°F (4-30°C). The labeling instructs the users not to freeze the test strips.
c. Detection limit: The reportable range for the ACCU-CHEK Performa Blood Glucose Monitoring System is 20 to 600 mg/dL. This range was verified by the linearity study (M.1.b).
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d. Analytical specificity:
To assess potential interference the sponsor used venous whole blood samples adjusted to 2 different glucose levels of 55 and 350 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 highest 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) |
| --- | --- | --- | --- | --- |
| Amoxicillin | 600 | | L-Cysteine | 5 |
| Ascorbic Acid | 3 | | L-Glutathione, oxidized | 183.9 |
| Captopril | 0.5 | | | |
| Chlorpropamide | 80 | | L-Glutathione, reduce | 12.3 |
| Cholesterol | 500 | | Maltose | 360 |
| Cimetidine | 10 | | L-dopa | 2.0 |
| Citric Acid | 30 | | MethyldopaL-dopa | 1.5 |
| Conjugated Bilirubin | 15 | | Naproxen | 100 |
| Diltiazem | 20 | | Oxalic Acid | 20 |
| Dopamine | 0.09 | | Potassium Chloride | 50 |
| Ethanol | 350 | | Probenecid | 60 |
| Furosemide | 6 | | Sodium Bicarbonate | 336 |
| Galactose | 15 | | Tolazamide | 200 |
| Gamma Globulins | 3000 | | Tolbutamide | 100 |
| Gentistic acid | 50 | | Triglycerides | 1800 |
| Glucosamine | 450 | | Xylose | 100 |
| Hemoglobin | 500 | | | |
The sponsor has the following limitations in their labeling:
- Lipemic samples (triglycerides) in excess of 1800 mg/dL may produce elevated results.
- Intravenous administration of ascorbic acid which results in blood concentrations of ascorbic acid > 3 mg/dL will cause overestimation of glucose results.
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- Blood concentrations of galactose >15 mg/dL will cause overestimation of blood glucose results.
- Maltose testing at 60 mg/dL of glucose has bias of 6.9 with 300 mg/dL maltose, bias of 7.6 with 360 mg/dL maltose and 10.5 with 500 mg/dL maltose
e. Assay cut-off:
Not Applicable.
2. Comparison studies:
a. Method comparison with predicate device:
To assess system accuracy, results from the ACCU-CHEK Performa Blood Glucose Monitoring System were compared to a reference method, PCA-HK (Hitachi 917). Capillary samples from 105 participants with glucose with concentrations ranging from 34-582 mg/dL glucose obtained on the reference were measured on three test strip lots. Samples <50 mg/dL and >463 mg/dL were altered by glycolysis or spiking. The results relative to reference are summarized in the tables below:
Performa Fingerstick vs. Reference
For glucose concentrations <75 mg/dL
| lot | within ± 5 mg/dL | within ± 10 mg/dL | within ± 15 mg/dL |
| --- | --- | --- | --- |
| #1 | 17/19 (89.5%) | 19/19 (100%) | 19/19 (100%) |
| #2 | 15/19 (78.9%) | 19/19 (100%) | 19/19 (100%) |
| #3 | 17/19 (89.5%) | 18/19 (94.7%) | 19/19 (100%) |
For glucose concentrations ≥ 75 mg/dL
| lot | within ± 5 % | within ± 10 % | within ± 15 % | within ± 20 % |
| --- | --- | --- | --- | --- |
| #1 | 56/86 (65.1%) | 79/86 (91.9%) | 84/86 (97.7%) | 85/86 (98.8%) |
| #2 | 53/86 (61.6%) | 78/86 (90.7%) | 86/86 (100%) | 86/86 (100%) |
| #3 | 50/86 (58.1%) | 78/86 (90.7%) | 84/86 (97.7%) | 85/86 (98.8%) |
Linear regression results Performa capillary vs. whole blood PCA-HK reference (N=105 of each of 3 test strip lots):
Lot #1 (34-582 mg/dL): y = 1.052x - 3.0; r = 0.997
Lot #2 (34-582mg/dL): y = 1.034x + 0.1; r = 0.997
Lot #3 (34-582 mg/dL): y = 1.049x - 2.0; r = 0.996
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# Venous Study:
To assess the performance of the ACCU-CHEK Performa Blood Glucose Monitoring System using venous blood, 427 venous samples (lithium heparin) were used that contained glucose concentrations of 28 to $557\mathrm{mg / dL}$ (as measured by the reference method). The results obtained from the Performa system using 3 test strip lots were compared to results obtained using the reference method (PCA-HK) and are summarized below:
For glucose concentrations $< 75\mathrm{mg / dL}$
| lot | within ± 5 mg/dL | within ± 10 mg/dL | within ± 15 mg/dL |
| --- | --- | --- | --- |
| #1 | 26/29 (89.7%) | 29/29 (100%) | 29/29 (100%) |
| #2 | 26/29 (89.7%) | 29/29 (100%) | 29/29 (100%) |
| #3 | 24/29 (82.8%) | 29/29 (100%) | 29/29 (100%) |
For glucose concentrations $\geq 75\mathrm{mg / dL}$
| lot | within ± 5 % | within ± 10 % | within ± 15 % | within ± 20 % |
| --- | --- | --- | --- | --- |
| #1 | 286/398 (71.9%) | 380/398 (95.5%) | 394/398 (99.0%) | 397/398 (99.7%) |
| #2 | 243/398 (61.1%) | 372/398 (93.5%) | 394/398 (99.0%) | 398/398 (100%) |
| #3 | 251/398 (63.1%) | 371/398 (93.2%) | 396/398 (99.5%) | 398/398 (100%) |
Linear regression results Performa venous vs. whole blood PCA-HK reference (N=427 of each of 3 test strip lots):
Lot #1: $y = 1.041x - 3.3$ ; $r = 0.995$
Lot #2: $y = 1.064x - 4.1$ ; $r = 0.996$
Lot #3: $y = 1.051x - 3.1$ ; $r = 0.996$
# b. Matrix comparison:
# Anticoagulant study:
Venous blood was drawn from ten donors having glucose levels in 5 different glucose bins: $<70$ , 71-110, 111-150, 151-250, $>251 \mathrm{mg} / \mathrm{dL}$ . The donor blood was collected into each of 4 vacutainer tubes (lithium heparin, sodium heparin, EDTA, and sodium fluoride/potassium oxalate) and into vacutainer tubes containing no anticoagulant. Each anticoagulant was tested in replicates of sixteen. Results of the study demonstrate no significant bias when results from samples containing EDTA, lithium heparin, or sodium heparin were compared to results from samples containing no anticoagulant and support the use with the ACCU-CHEK Inform II system.
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The sponsor includes the following limitation in the labeling: Iodoacetate or fluoride-containing anticoagulants are not recommended.
## 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 Performa Blood Glucose Monitoring System in the hands of lay users the sponsor performed a study with 192 lay user participants. Results were analyzed by comparing blood glucose results from the ACCU-CHEK Performa meter obtained by the lay user against the reference method value (PCA-HK). The samples ranged from 47 to 576 mg/dL as measured by the reference method. The results are summarized in the tables below:
**Lay-user Performa vs. PCA-HK reference:**
**For glucose concentrations <75 mg/dL**
| within ± 5 mg/dL | within ± 10 mg/dL | within ± 15 mg/dL |
| --- | --- | --- |
| 23/31 (74.2%) | 31/31 (100%) | 31/31 (100%) |
**For glucose concentrations ≥ 75 mg/dL**
| within ± 5 % | within ± 10 % | within ± 15 % | within ± 20 % |
| --- | --- | --- | --- |
| 74/161 | 127/161 | 157/161 | 161/161 |
| (46%) | (78.9%) | (97.5%) | (100%) |
Regression Analysis lay-user Performa vs. Ref: $y = 0.924x + 4.0$ ; $r = 0.992$
## 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 |
(1) American Diabetes Association: Standards of Medical Care in Diabetes-2013. Diabetes Care, 36, (Suppl. 1), S11-S66, 2013.
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(2) Tietz Fundamentals of Clinical Chemistry, 6th Edition, Edited by Burtis CA and Ashwood ED, W. B. Saunders Co., Philadelphia, PA, 2008, p. 849.
## N. Instrument Name:
ACCU-CHEK Performa Blood Glucose Meter
## 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 ☐ 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:
Samples are applied directly to the test strip as they are collected. The ACCU-CHEK Performa meter memory stores up to 500 glucose test results with the time and date of the test and up to 20 control solutions results. Individual patient results cannot be identified. The labeling states that using memory data from meters used for multiple-patient testing is not recommended.
4. Specimen Sampling and Handling:
This device is intended to be used with capillary whole blood from the fingertip and venous whole blood. There is not patient identification with this system.
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5. **Calibration:**
The system contains a code key included in each vial of test strips and is inserted into the meter. The code key contains the test strip code information specific to that test strip lot number.
6. **Quality Control:**
The ACCU-CHEK Inform II Control Solutions are used as quality control checks to make sure that the ACCU-CHEK Performa system and ACCU-CHEK Performa 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.
Control solution results are not included in the 14 and 30 day averages.
The Warning box language in the Operator’s Manual (page 29 and 41) states:
“Individual patient results cannot be identified. Using memory data from meters used for multiple-patient testing is NOT recommended” and “Individual patient results cannot be identified. Transferring data from meters used for multiple-patient testing is NOT recommended”, respectively.
The ACCU-CHEK Inform II Linearity Test Kit
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, 43, 50, 55, 60, and 65%) spiked with glucose to achieve target concentrations of 25, 55, 120, 350, and 500 mg/dL. A total of 30 replicates were performed for each combination of strip lot, glucose concentration, and hematocrit level tested. The results demonstrated that the ACCU CHEK Performa 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 Performa system results, venous blood samples from three donors were altered to 5 glucose concentrations (35, 60, 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; Hitachi 917). The results demonstrate acceptable bias to the reference to support the claims in the labeling that altitudes up to 10,000 feet have no significant effect on blood glucose measurements from the ACCU-CHEK Performa Blood Glucose Monitoring System.
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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 61-95°F (16-35°C) and relative humidity from 10-80%. Combinations of the claimed temperature and humidity operating conditions were evaluated and meter results compared to a reference method. The results support the claimed range of operating conditions: 61-95°F and 10-80% relative humidity.
4) Sample volume study:
The sponsor performed a sample volume study to support the claimed minimum sample volume requirement for the ACCU-CHEK Performa system (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.
5) Infection Control Studies: The device is intended for multiple-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 10,950 cleaning and disinfection cycles (21,900 wipes). The robustness studies were designed to simulate 3 years of multiple-patient use. Labeling was reviewed for adequate instructions for the validated cleaning and disinfection procedures.
6) Electromagnetic Compatibility (EMC) testing was performed and found to be adequate for the Accu-Chek Performa system.
7) ACCU-CHEK Customer Care Service Center is available 24 hours a day, 365 day a year by calling 1-800-440-3638.
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.