Literature DB >> 30974985

System Accuracy Assessment of a Blood Glucose Meter With Wireless Internet Access Associated With Unusual Hypoglycemia Patterns in Clinical Trials.

Andreas Pfützner1,2,3, Filiz Demircik1,2, Valeria Kirsch1,3, Johannes Pfützner1,4, Stephanie Strobl1, Mina Hanna1, Jan Spatz1,2, Anke H Pfützner2.   

Abstract

BACKGROUND: In recent randomized clinical trials, an unusual reporting pattern of glycemic data and hypoglycemic events potentially related to an internet enabled blood glucose meter (MyGlucoHealth, BGM) was observed. Therefore, this clinical study was conducted to evaluate the system accuracy of the BGM in accordance with the ISO15197:2015 guidelines with additional data collection.
METHODS: To investigate system accuracy, 10 of 3088 devices and 6 of 23 strip lots, used in the trials, were selected by a randomization procedure and a standard repeatability assessment. YSI 2300 STAT Plus was used as the standard reference method. The samples were distributed as per the ISO15197:2015 recommendations with 20 additional samples in the hypoglycemic range. Each sample was tested with 6 devices and 6 strip lots with double determinations.
RESULTS: Overall, 121 subjects with blood glucose values 26-423 mg/dL were analyzed, resulting in 1452 data points. In all, 186/1452 readings (12.8%) did not meet the ISO acceptance criteria. Data evaluated according to the FDA guidelines showed that 336/1452 (23.1%) readings did not meet the acceptance criteria. A clear bias toward elevated values was observed for BG <100 mg/dL (MARD: 11.0%).
CONCLUSIONS: The results show that the BGM, although approved according to standard regulatory guidelines, did not meet the level of analytical accuracy required for clinical treatment decisions according to ISO 15197:2015 and FDA requirements. In general, caution should be exercised before selection of BGMs for patients and in clinical trials.

Entities:  

Keywords:  ISO15197:2015; blood glucose meter; system accuracy

Mesh:

Substances:

Year:  2019        PMID: 30974985      PMCID: PMC6501533          DOI: 10.1177/1932296819841353

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  14 in total

1.  A new consensus error grid to evaluate the clinical significance of inaccuracies in the measurement of blood glucose.

Authors:  J L Parkes; S L Slatin; S Pardo; B H Ginsberg
Journal:  Diabetes Care       Date:  2000-08       Impact factor: 19.112

2.  Computing the surveillance error grid analysis: procedure and examples.

Authors:  Boris P Kovatchev; Christian A Wakeman; Marc D Breton; Gerald J Kost; Richard F Louie; Nam K Tran; David C Klonoff
Journal:  J Diabetes Sci Technol       Date:  2014-06-13

3.  Laboratory Evaluation of Linearity, Repeatability, and Hematocrit Interference With an Internet-Enabled Blood Glucose Meter.

Authors:  Filiz Demircik; Valeria Kirsch; Sanja Ramljak; Mario Vogg; Anke H Pfützner; Andreas Pfützner
Journal:  J Diabetes Sci Technol       Date:  2019-04-11

4.  System accuracy evaluation of 43 blood glucose monitoring systems for self-monitoring of blood glucose according to DIN EN ISO 15197.

Authors:  Guido Freckmann; Christina Schmid; Annette Baumstark; Stefan Pleus; Manuela Link; Cornelia Haug
Journal:  J Diabetes Sci Technol       Date:  2012-09-01

Review 5.  Performance of Cleared Blood Glucose Monitors.

Authors:  David C Klonoff; Priya Prahalad
Journal:  J Diabetes Sci Technol       Date:  2015-06-08

6.  Efficacy and Safety of Degludec Compared to Glargine 300 Units/mL in Insulin-Experienced Patients With Type 2 Diabetes: Trial Protocol Amendment (NCT03078478).

Authors:  Athena Philis-Tsimikas; Irene Stratton; Lone Nørgård Troelsen; Britta Anker Bak; Lawrence A Leiter
Journal:  J Diabetes Sci Technol       Date:  2019-04-11

7.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

8.  Estimation of in vivo capillary or venous blood glucose concentration from analysis on stored venous blood or its plasma and use in quality control of near-patient glucose tests.

Authors:  P Felding; I Jensen; K Linnet; G Manford
Journal:  Scand J Clin Lab Invest       Date:  2002       Impact factor: 1.713

9.  Erratum. Glycemic Targets. Sec. 6. In Standards of Medical Care in Diabetes-2017. Diabetes Care 2017;40(Suppl. 1);S48-S56.

Authors: 
Journal:  Diabetes Care       Date:  2017-05-18       Impact factor: 19.112

10.  Development of the Diabetes Technology Society Blood Glucose Monitor System Surveillance Protocol.

Authors:  David C Klonoff; Courtney Lias; Stayce Beck; Joan Lee Parkes; Boris Kovatchev; Robert A Vigersky; Guillermo Arreaza-Rubin; Robert D Burk; Aaron Kowalski; Randie Little; James Nichols; Matt Petersen; Kelly Rawlings; David B Sacks; Eric Sampson; Steve Scott; Jane Jeffrie Seley; Robbert Slingerland; Hubert W Vesper
Journal:  J Diabetes Sci Technol       Date:  2016-05-03
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  4 in total

1.  Laboratory Evaluation of Linearity, Repeatability, and Hematocrit Interference With an Internet-Enabled Blood Glucose Meter.

Authors:  Filiz Demircik; Valeria Kirsch; Sanja Ramljak; Mario Vogg; Anke H Pfützner; Andreas Pfützner
Journal:  J Diabetes Sci Technol       Date:  2019-04-11

2.  Postmarket Surveillance of Blood Glucose Monitor Systems Is Needed for Safety of Subjects and Accurate Determination of Effectiveness in Clinical Trials of Diabetes Drugs and Devices.

Authors:  David C Klonoff
Journal:  J Diabetes Sci Technol       Date:  2019-04-11

3.  Efficacy and Safety of Degludec Compared to Glargine 300 Units/mL in Insulin-Experienced Patients With Type 2 Diabetes: Trial Protocol Amendment (NCT03078478).

Authors:  Athena Philis-Tsimikas; Irene Stratton; Lone Nørgård Troelsen; Britta Anker Bak; Lawrence A Leiter
Journal:  J Diabetes Sci Technol       Date:  2019-04-11

4.  How conclusive is the CONCLUDE trial?

Authors:  Stefano Del Prato
Journal:  Diabetologia       Date:  2020-01-16       Impact factor: 10.122

  4 in total

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