Next Article in Journal
Is the FINDRISC Tool Useful in Screening Type 2 Diabetes and Metabolic Syndrome in an African Setting? Experience among Young Adults in Urban Tanzania
Previous Article in Journal
Ultrasound Assessment of the Median Nerve Does Not Adequately Discriminate the Carpal Tunnel Syndrome among Patients Diagnosed with Diabetes
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Accuracy of Two CE-Marked Blood Glucose Monitoring System Based on EN ISO 15197:2015

1
Department of Neurosurgery, Seoul Medical Center, Seoul 02053, Korea
2
Independent Researcher, Mathsly Research, 25100 Brescia, Italy
3
Independent Researcher, 88050 Catanzaro, Italy
4
Centro Genetica Medica Rosalind Franklin Srls, 88050 Catanzaro, Italy
*
Author to whom correspondence should be addressed.
Diabetology 2021, 2(4), 232-239; https://doi.org/10.3390/diabetology2040021
Submission received: 28 October 2021 / Revised: 10 November 2021 / Accepted: 11 November 2021 / Published: 17 November 2021

Abstract

:
Blood glucose monitoring systems (BGMS) are essential for the management of diabetic patients. Although International Organization for Standardization (ISO) 15197:2015 criteria require rigorous monitoring of BGMS devices before commercialization, manufacturing quality standards may decline after FDA or EU approval. This work aimed to demonstrate the accuracy and precision of two BGMS devices currently available on the market. A laboratory study was conducted from June to August 2021 using two BGMS devices. One hundred samples were collected and evaluated according to ISO 15197:2015 guidelines. Over 95% accuracy was achieved by both devices using stricter ISO criteria (at least 95% of values within ±10 mg/dL or ±10% of the results of the reference measurement procedure). Analysis of the error grid showed that 99.5% of the results were in zone A. Surveillance of the accuracy and precision of BGMS devices after FDA and EU approval is an essential procedure to help patients and physicians manage glycemia and determine an appropriate outcome and personalized approach to diabetes treatment.

1. Introduction

Blood Glucose Monitoring Systems (BGMS) are essential for controlling blood glucose (BG) in patients with diabetes because they help patients, their clinicians, and caregivers in the daily management of the disease to monitor diabetes therapy and maintain glycemic targets [1]. In addition, monitoring patients’ blood glucose helps clinicians prevent potential and dangerous metabolic conditions, such as hypoglycemia or hyperglycemia, facilitates their work, and promotes optimal insulin management, especially in patients with intensive insulin therapy or insulin pumps [2,3,4,5]. Therefore, the reliability and accuracy of BGMS are essential requirements for supplying adequate support to clinical decisions [6].
The International Organization for Standardization’s (ISO) standard 15197:2013, first published in 2003 and revised in 2013 with the introduction of more stringent criteria (harmonization EN ISO 15197:2015), defines the accuracy and precision requirements necessary for the BGMS [7]. Several studies have demonstrated that not all BGMS approved in Europe (UE) or the USA fulfilled accuracy standards after being approved and launched on the sale market. Keeping high accuracy and precision levels is crucial in reducing hypoglycemia and HbA1c and assuring optimal therapy [8]. According to King et al., 46.4% of BGMS currently available on the market failed to pass ISO 15197:2013 after approval [9] because of a probable decline in quality standards in the manufacturing process [10]. Inaccurate BGMS measures could be potentially life-threatening and with relevant economic repercussions [9].
Two BGMS, Oh’CareLite (Device 1) and Oh’Care (Device 2) (OSANG HealthCare Co., Ltd., Anyangcheondong-ro, Dongan-gu, Anyang-si, Gyeonggi-do, Korea), currently available on the European and American markets, have been developed and monitored to maintain accuracy standards during the entire production cycle. This work aimed to demonstrate the accuracy and precision of these two BGMS devices as assessed by trained operators according to the criteria outlined in ISO 15197:2013.

2. Materials and Methods

The Institutional Review Board approved the study—Ethics Committee of the Regione Calabria Sezione Area Centro (protocol number 143, approval date 22 April 2021). The study was conducted from June to August 2021. Key features of the two BGMS are reported in Table 1.
The accuracy and precision of the two BGMS devices were determined by comparing the glycemic results of both devices with those obtained through the glucose-oxidase (GOD) method (SAM 300 MINDRAY BS200). The evaluation was conducted according to the real use-conditions of the two devices so that both systematic errors (bias) and random errors (non-precision) could have been included in the evaluation. Three lots of the reagent system and at least 20 reagent system packages for each lot were used. The choice of lots and reagent system packages was completely random. According to information provided by the manufacturer of the comparison measurement system, the SAM 300 MINDRAY BS200 glucose analyzer was checked for traceability requirements of EN ISO 17511:2003. In addition, the trueness and precision of the comparison measurement system were verified during the test procedures.
Participants were volunteers without any form of remuneration and were enrolled randomly. Inclusion criteria were: (1) Adults (≥18 years old); (2) Patients with type I diabetes and intensified insulin therapy or pump therapy; (3) Subjects with blood glucose values below 80 mg/dL or above 300 mg/dL after short-term alteration of insulin therapy; (4) Subjects legally capable of understanding and willing and able to understand the character, meaning and consequences of the study; (5) Subjects who gave informed consent in writing. Exclusion criteria were: (1) Patients with type I diabetes and simultaneously suffering from one of the following pathologies: coronary heart disease, myocardial infarction, brain events, occlusive peripheral arterial disease or in an unrecognized situation of hypoglycemia; (2) Pregnant or breastfeeding patients; (3) Patients with severe acute illness; (4) Patients with severe chronic illness; (5) Anemia; (6) Suspected lack of compliance with the inclusion criteria; (7) Relationship of dependence on the investigator or sponsor. Inclusion and exclusion criteria were defined according to ISO 15197:2013 and EN ISO 15197:2015.
The medical history and drug therapy of each subject involved in the study had been evaluated by an experienced physician. The possible presence of interfering substances (acetaminophen or paracetamol, salicylic acid, ascorbic acid, dopamine) was assessed. In addition, the hematocrit value of each subject was checked to be within the indicator range on the manufacturer’s label.
Capillary blood samples were used to evaluate the accuracy of the system. First, for each sample, a sufficient volume of blood was collected. Then, the glucose concentrations were distributed according to the classifications shown in the following Table 2.
Each sample was assigned to the reference category according to the value reported by the average of two repeated measurements. For glucose concentrations above 400 mg/dL, a saline solution containing glucose was added. For glucose concentrations lower than or equal to 50 mg/dL, the adjustment was performed by incubation at a temperature of 34.3 °C and glycolysis.
For adjusted samples, PO2 was checked using a blood gas analyzer immediately after the test procedure to ensure that PO2 values were comparable with levels found in the native capillary blood samples [11]. The accuracy of the blood gas analyzer was verified during the experimental procedures.
Moreover, venous blood was taken from 5 participants to measure BGMS precision. The collected venous blood was placed in tubes containing anticoagulant EDTA.

2.1. Operating Procedures

Before carrying out each procedure, participants were be asked to wash and dry their hands. Next, we performed the blood glucose measurements maintaining controlled environmental temperature (from 18 °C up to 28 °C) and humidity (32.4% up to 50.9%) according to the manufacturer’s specifications and the ISO 15,197 standard. The procedures were performed by healthcare personnel trained to ensure the participants’ safety, the correct application of the protocol, limit possible bias due to instrument limitations, and avoid accidental use not following the manufacturer’s labelling. Finally, the devices for testing were cleaned and disinfected after each subject according to the recommendations on the manufacturer’s label.

2.2. Statistical Procedures

A total of 200 samples from at least 100 capillary blood samples/subjects were analyzed for each system. The standard deviation between the first and second measurements was determined. The deviation between the first and second measurements should be lower than or equal to 4 mg/dL for BG concentrations below 100 mg/dL or lower than or equal to ±4% for BG concentrations higher than or equal to 100 mg/dL. If the reference results exceeded these criteria, the measured values were not included in the analysis and all measurements were repeated on a different sample.
The accuracy of each system was evaluated by comparing the measurement results with the results of the measurement procedure obtained by GOD method. According to ISO 15197, accuracy was determined by adding the relative number of results within ±15 mg/dL (0.83 mmol/L) for glucose concentrations below 100 mg/dL (5.55 mmol/L) and the number of results within ±15% for glucose concentrations ≥100 mg/dL (5.55 mmol/L). More stringent criteria of ±10 mg/dL (0.56 mmol/L) and ±10% were also applied.
Consensus Error Grid (CEG) analysis of the three-reagent system lots was also investigated as defined by ISO 15197:2015. The number and the percentage of results within the clinically acceptable CEG zones A and B were evaluated for each lot and each BGMS. According to the Bland–Altman procedure, the relative bias was be calculated by reporting the relative confidence intervals [12]. The Passing–Bablok regression was also be presented graphically through scatter plots.
Data were collected in an Excel file and analyzed with STATA17 (StataCorp., College Station, TX, USA) and RStudio (RStudio Team 2020. Version 1.4.1717 for Mac RStudio: Integrated Development for R. RStudio, PBC, Boston, MA, USA, Version 1.4.1717).

3. Results

A total of 120 subjects were enrolled (68 females and 52 males, age: 60 ± 18 years), and only 100 were included in the study. Exclusion reasons are reported in Table 3. Operating temperature and humidity conditions were 24 °C and 45%, respectively.

3.1. Accuracy of BGMS According to ISO 15197:2015 Guidelines

Minimum accuracy (within ±15 mg/dL or ±15%) requirements were fulfilled by both tested BGMS (Device 1: 98.5%; Device 2: 99.5%). More stringent criteria (at least 95% of values within ±10 mg/dL or ±10% of the reference measurement procedure’s results) was achieved by both tested BGMS (Device 1: 95%; Device 2: 96%). More stringent criteria (at least 95% of values within ±5 mg/dL or ±5% of the reference measurement procedure’s results) was not achieved by both tested BGMS: 67% of samples were within the reference range. BGMS achieved an accuracy level of 100% (Table 4).

3.2. The Consensus Error Grid (CEG) Analysis According to ISO 15197:2015

CEG analysis showed 100% of results within the clinically acceptable zones A and B (Supplementary Materials—Figures S4 and S8). Only one sample for Device 1 and two samples for Device 2 were within zone B; the remaining samples fell within zone A.

3.3. The Bias Analysis

The bias of the measurement results was calculated according to the Bland–Altman for each lot of a system. Bland–Altman (Tables S1 and S3; Figures S2 and S6) and Passing–Bablock regression (Tables S2 and S4; Figures S3 and S7) confirmed a high level of accuracy for both devices.

3.4. Precision Analysis

A high level of precision emerged for both devices (Table 5).

4. Discussion

BGMS accuracy represents a crucial feature to reduce hypoglycemia and monitor glucose in diabetic patients. Monitoring BGMS accuracy after FDA and EU market approval and during the entire production cycle is a needed procedure to assure a high level of safety of the BGMS.
This work aimed to demonstrate the accuracy and precision of two BGMS devices already cleared by FDA and UE and currently available on the market. The study was performed in accordance with the clinical trial protocol as defined in the ISO 15197:2013 guideline.
Recently, two studies demonstrated a loss of accuracy in the marketed current-generation BGMS as specified by ISO standards [6,13]. In Europe, 14 out of 18 BGMS had ≥95% of results within ±15 mg/dl, or ±15%, 3 out of 18 had 95% of results within ±10 mg/dL or ±10%, and none had 95% of results within ±5 mg/dL or ±5% [6]
From our findings, a high level of accuracy was achieved by both BGMS devices according to ISO standards (within ±15 mg/dL or ±15%). Furthermore, this level of accuracy was kept also applying more stringent criteria (within ±10 mg/dL or ±10%), while it was not achieved reducing the error margin within ±5 mg/dL or ±5%. Only 66% of measures fell in this last stringent criterion.
More than 99% of results were within zone A, which is considered to have “little or no effect on clinical outcome”. This result is encouraging given that the system accuracy was evaluated in a laboratory setting following testing procedures (optimal conditions of temperature and humidity and by trained personnel) as described by ISO 15197:2015 and not tested in a real use setting as everyday patient use.
Some studies indicate that BGMS performance could result in lower accuracy if tested by diabetic patients instead of trained personnel [14,15,16]. Although in our work we did not investigate possible measurement accuracy differences between trained and not-trained users, we believe that proper compliance to the manufacturer’s instructions (e.g., wash hand before use [17] or wait at least 15 min for temperature equilibration in case of a shift in the ambient temperature immediately before measurement [18]) in the use of these devices may prevent altered results. Moreover, the tested devices appeared insensitive to operator errors as technically possible. Future studies will evaluate the accuracy of BGMS available on the sale market considering users, environmental temperature, and humidity to reproduce real-world context.
The appropriate monitoring and evaluation of BG in diabetic patients are fundamental for clinicians and patients. Making accurate treatment decisions about insulin dosing, taking clinical actions to manage blood glucose levels, calibrating glucose monitoring and controlling closed-loop insulin delivery systems play a crucial role in managing diabetic patients. After approval by FDA and UE, BGMS devices need to be subjected to stringent surveillance to allow clinicians and patients to rely on ever-more precise, safe and accurate treatments.

Supplementary Materials

The following are available online at https://www.mdpi.com/article/10.3390/diabetology2040021/s1, Figure S1: Absolute differences between Device 1 and Reference Method, Figure S2: Device 1—Bland–Altman plot for (a) Lot 1; (b) Lot 2; (c) Lot 3; Figure S3: Device 1—Passing–Bablok regression for (a) Lot 1; (b) Lot 2; (c) Lot 3, Figure S4: Device 1—Consensus Error Grid (a) Lot 1; (b) Lot 2; (c) Lot 3, Figure S5: Absolute differences between Device 2 and Reference Method, Figure S6: Device 2—Bland–Altman plot for (a) Lot 1; (b) Lot 2; (c) Lot 3, Figure S7: Device 2—Passing–Bablok Regression for (a) Lot 1; (b) Lot 2; (c) Lot 3, Figure S8: Device 2—Consensus Error Grid for (a) Lot 1; (b) Lot 2; (c) Lot 3. For Lot 1, Table S1: Device 1—Summary of bias analysis (Bland–Altman), Table S2: Device 1—Summary of regression analysis (Passing–Bablok), Table S3: Device 2—Summary of bias analysis (Bland–Altman), Table S4: Device 2—Summary of regression analysis (Passing–Bablok).

Author Contributions

Conceptualization, J.-H.K. and M.L.G.; methodology, M.L.G., A.G., A.R.; software, M.L.G.; validation, M.L.G., A.G. and A.R.; formal analysis, M.L.G.; investigation, M.T.P.; resources, A.G. and M.T.P.; data curation, M.L.G., A.G.; writing—original draft preparation, M.L.G.; writing—review and editing, M.L.G., A.G., A.R.; visualization, A.R.; supervision, M.L.G.; project administration, A.R.; funding acquisition, A.G. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki and approved by the Ethics Committee of Regione Calabria Area Centro (protocol 143 of 22 April 2021).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Acknowledgments

Luigi Montanaro; Orlando Amelio; Michela Pugliese.

Conflicts of Interest

J.H.K. and M.T.P. have no conflict of interest. M.L.G. and A.G. are/have been consultants for OSANG HealthCare. A.R. received research support from OSANG HealthCare.

References

  1. Fleming, G.A.; Petrie, J.R.; Bergenstal, R.M.; Holl, R.W.; Peters, A.L.; Heinemann, L. Diabetes Digital App Technology: Benefits, Challenges, and Recommendations. A Consensus Report by the European Association for the Study of Diabetes (EASD) and the American Diabetes Association (ADA) Diabetes Technology Working Group. Diabetes Care 2020, 43, 250–260. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Polonsky, W.H.; Fisher, L.; Schikman, C.H.; Hinnen, D.A.; Parkin, C.G.; Jelsovsky, Z.; Petersen, B.; Schweitzer, M.; Wagner, R.S. Structured self-monitoring of blood glucose significantly reduces A1C levels in poorly controlled, noninsulin-treated type 2 diabetes: Results from the Structured Testing Program study. Diabetes Care 2011, 34, 262–267. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Blonde, L.; Karter, A.J. Current evidence regarding the value of self-monitored blood glucose testing. Am. J. Med. 2005, 118, 20S–26S. [Google Scholar] [CrossRef] [PubMed]
  4. Bergenstal, R.M.; Gavin, J.R., 3rd; Global Consensus Conference on Glucose Monitoring Panel. The role of self-monitoring of blood glucose in the care of people with diabetes: Report of a global consensus conference. Am. J. Med. 2005, 118, 1S–6S. [Google Scholar] [CrossRef] [PubMed]
  5. IDF Clinical Guidelines Task Force. Global Guideline for Type 2 Diabetes: Recommendations for standard, comprehensive, and minimal care. Diabet. Med. 2006, 23, 579–593. [Google Scholar] [CrossRef] [PubMed]
  6. Pleus, S.; Baumstark, A.; Jendrike, N.; Mende, J.; Link, M.; Zschornack, E.; Haug, C.; Freckmann, G. System accuracy evaluation of 18 CE-marked current-generation blood glucose monitoring systems based on EN ISO 15197:2015. BMJ Open Diabetes Res. Care 2020, 8, e001067. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  7. International Organization for Standardization. In Vitro Diagnostic Test Systems: Requirements for Blood-Glucose Monitoring Systems for Self-Testing in Managing Diabetes Mellitus (ISO 15197:2013). 2013. Available online: https://www.iso.org/standard/54976.html (accessed on 10 November 2021).
  8. Klaff, L.; Shelat, P.; Zondorak, D.; Wayland-Smith, A.; Vernes, P.; Richardson, J.M. Accuracy and User Performance of a New Blood Glucose Monitoring System. J. Diabetes Sci. Technol. 2020, 15, 1932296820974348. [Google Scholar] [CrossRef] [PubMed]
  9. King, F.; Ahn, D.; Hsiao, V.; Porco, T.; Klonoff, D.C. A Review of Blood Glucose Monitor Accuracy. Diabetes Technol. Ther. 2018, 20, 843–856. [Google Scholar] [CrossRef] [PubMed]
  10. Parkin, C.G. If SMBG Accuracy Is Critical to Patient Safety, Why Are Inaccurate Meters Still on the Market? J. Diabetes Sci. Technol. 2017, 11, 574–576. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  11. Baumstark, A.; Pleus, S.; Jendrike, N.; Liebing, C.; Hinzmann, R.; Haug, C.; Freckmann, G. Proof of Concept Study to Assess the Influence of Oxygen Partial Pressure in Capillary Blood on SMBG Measurements. J. Diabetes Sci. Technol. 2019, 13, 1105–1111. [Google Scholar] [CrossRef] [PubMed]
  12. Bland, J.M.; Altman, D.G. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1986, 1, 307–310. [Google Scholar] [CrossRef]
  13. Klonoff, D.C.; Parkes, J.L.; Kovatchev, B.P.; Kerr, D.; Bevier, W.C.; Brazg, R.L.; Christiansen, M.; Bailey, T.S.; Nichols, J.H.; Kohn, M.A. Investigation of the Accuracy of 18 Marketed Blood Glucose Monitors. Diabetes Care 2018, 41, 1681–1688. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Baumstark, A.; Jendrike, N.; Liebing, C.; Haug, C.; Freckmann, G. System Accuracy and User Performance Evaluation of an Improved System for Self-Monitoring of Blood Glucose. J. Diabetes Sci. Technol. 2018, 12, 407–411. [Google Scholar] [CrossRef] [PubMed]
  15. Freckmann, G.; Baumstark, A.; Jendrike, N.; Rittmeyer, D.; Pleus, S.; Haug, C. Accuracy Evaluation of Four Blood Glucose Monitoring Systems in the Hands of Intended Users and Trained Personnel Based on ISO 15197 Requirements. Diabetes Technol. Ther. 2017, 19, 246–254. [Google Scholar] [CrossRef] [PubMed]
  16. Solvik, U.O.; Risa, M.; Jacobsen, C.E.; Monsen, G.; Sandberg, S. Performance of 10 systems for self-monitoring of blood glucose by trained healthcare professionals and in the hands of the users. Clin. Chem. 2015, 61, 772–774. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  17. Deakin, S.; Steele, D.; Clarke, S.; Gribben, C.; Bexley, A.M.; Laan, R.; Kerr, D. Cook and Chill: Effect of Temperature on the Performance of Nonequilibrated Blood Glucose Meters. J. Diabetes Sci. Technol. 2015, 9, 1260–1269. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  18. Nerhus, K.; Rustad, P.; Sandberg, S. Effect of ambient temperature on analytical performance of self-monitoring blood glucose systems. Diabetes Technol. Ther. 2011, 13, 883–892. [Google Scholar] [CrossRef] [PubMed]
Table 1. Technical specification.
Table 1. Technical specification.
FeaturesDescription
Blood sampleCapillary and/or venous whole blood
Sample volume0.5 µL
Measuring range20–600 mg/dL
Analysis time5 s
Operating conditionsTemperature: 10–40 °C
20–25 °C (control measurement)
Humidity: 10–90% (meter, test strips)
Storage conditionsTemperature: 2–30 °C (meter, test strips)
8–30 °C (control solution)
Humidity: dry place
Hematocrit range20–65%
Measurement technologyGlucose dehydrogenase
Comparison measurement methodGlucose oxidase
CalibrationPlasma
CodingAuto-coding
Table 2. Distribution of BG concentration of samples for BGMS as specified in ISO 15197:2015.
Table 2. Distribution of BG concentration of samples for BGMS as specified in ISO 15197:2015.
Concentration CategoryGlucose Concentration (mg/dL (mmol/L))Percentage of Samples (%)
1≤50 (≤2.77)5
250–80 (>2.77–4.44)15
380–120 (>4.44–6.66)20
4120–200 (>6.66–11.10)30
5200–300 (>11.10–16.65)15
6300–400 (>16.65–22.20)10
7>400 (>22.20)5
Table 3. Samples exclusion reasons.
Table 3. Samples exclusion reasons.
Sample Taken from 120 Different Subjects120
Number of samples rejected
Based on ISO 15197:2013/EN ISO 15197:2015
The quality control measurement result (comparison method) was outside the acceptable limits o no valid measurement result was obtained6
The concentration category was already filled14
Table 4. BGMS accuracy.
Table 4. BGMS accuracy.
(a) First Device
Glucose concentration < 5.55 mmol/L (< 100 mg/dL)
Within ±0.28 mmol/L
(within ±5 mg/dL)
Within ±0.56 mmol/L
(within ±10 mg/dL)
Within ±0.83 mmol/L
(within ±15 mg/dL)
Lot 155/69 (79.7%)67/69 (97.1%)69/69 (100%)
Lot 249/69 (71.0%)67/69 (97.1%)69/69 (100%)
Lot 348/69 (69.6%)66/69 (95.7%)69/69 (100%)
Glucose concentration ≥ 5.55 mmol/L (≥100 mg/dL)
Within ±5%Within ±10%Within ±15%
Lot 185/131 (64.9%)124/131 (94.7%)128/131 (97.7%)
Lot 290/131 (68.7%)125/131 (95.4%)128/131 (97.7%)
Lot 380/131 (61.1%)118/131 (90.1%)128/131 (97.7%)
System accuracy results for glucose concentration between 37 mg/dL and 450 mg/dL
Within ±0.28 mmol/L
or ±5%
Within ±0.56 mmol/L
or ±10%
Within ±0.83 mmol/L
or ±15%
Lot 1140/200 (70.0%)191/200 (95.5%)197/200 (98.5%)
Lot 2139/200 (69.5%)192/200 (96.0%)197/200 (98.5%)
Lot 3128/200 (64.0%)184/200 (92.0%)197/200 (98.5%)
(b) Second Device
Glucose concentration < 5.55 mmol/L (<100 mg/dL)
Within ±0.28 mmol/L
(within ±5 mg/dL)
Within ±0.56 mmol/L
(within ±10 mg/dL)
Within ±0.83 mmol/L
(within ±15 mg/dL)
Lot 151/72 (70.8%)67/72 (93.1%)71/72 (98.6%)
Lot 239/72 (54.2%)69/72 (94.4%)72/72 (100%)
Lot 351/72 (70.8%)70/72 (97.2%)72/72 (100%)
Glucose concentration ≥ 5.55 mmol/L (≥100 mg/dL)
Within ±5%Within ±10%Within ±15%
Lot 188/128 (68.8%)124/128 (96.9%)127/128 (99.2%)
Lot 290/128 (70.3%)123/128 (96.1%)128/128 (100%)
Lot 381/128 (63.3%)122/128 (95.3%)128/128 (100%)
System accuracy results for glucose concentration between 37 mg/dL and 450 mg/dL
Within ±0.28 mmol/L
or ±5%
Within ±0.56 mmol/L
or ±10%
Within ±0.83 mmol/L
or ±15%
Lot 1139/200 (69.5%)191/200 (95.5%)198/200 (99.0%)
Lot 2129/200 (64.5%)191/200 (95.5%)200/200 (100%)
Lot 3132/200 (66.0%)192/200 (96.0%)200/200 (100%)
Table 5. BGMS precision.
Table 5. BGMS precision.
First Device
1.7 to 2.8 mmol/L(30–50 mg/dL)2.9 to 6.1 mmol/L(51–110 mg/dL)6.2 to 8.3 mmol/L(111–150 mg/dL)8.4 to 13.9 mmol/L(151–250 mg/dL)14.0 to 22.2 mmol/L(251–400 mg/dL)
Mean40.75101.2130.97165.63310.51
SD3.164.0184.513.995.98
CV0.0780.0400.0340.0240.019
Second Device
Mean39.1073.80140.42194.16279.92
SD2.553.103.993.825.00
CV0.070.040.030.020.02
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Kim, J.-H.; Garo, M.L.; Guerra, A.; Paparo, M.T.; Russo, A. Accuracy of Two CE-Marked Blood Glucose Monitoring System Based on EN ISO 15197:2015. Diabetology 2021, 2, 232-239. https://doi.org/10.3390/diabetology2040021

AMA Style

Kim J-H, Garo ML, Guerra A, Paparo MT, Russo A. Accuracy of Two CE-Marked Blood Glucose Monitoring System Based on EN ISO 15197:2015. Diabetology. 2021; 2(4):232-239. https://doi.org/10.3390/diabetology2040021

Chicago/Turabian Style

Kim, Jung-Hee, Maria Luisa Garo, Antonio Guerra, Maria Teresa Paparo, and Antonio Russo. 2021. "Accuracy of Two CE-Marked Blood Glucose Monitoring System Based on EN ISO 15197:2015" Diabetology 2, no. 4: 232-239. https://doi.org/10.3390/diabetology2040021

APA Style

Kim, J. -H., Garo, M. L., Guerra, A., Paparo, M. T., & Russo, A. (2021). Accuracy of Two CE-Marked Blood Glucose Monitoring System Based on EN ISO 15197:2015. Diabetology, 2(4), 232-239. https://doi.org/10.3390/diabetology2040021

Article Metrics

Back to TopTop