Comparator Data Characteristics and Testing Procedures for the Clinical Performance Evaluation of Continuous Glucose Monitoring Systems
Open Access
- 28 March 2024
- journal article
- research article
- Published by SAGE Publications in Diabetes Technology & Therapeutics
- Vol. 26 (4) , 263-275
Abstract
Comparing the performance of different continuous glucose monitoring (CGM) systems is challenging due to the lack of comprehensive guidelines for clinical study design. In particular, the absence of concise requirements for the distribution of comparator (reference) blood glucose (BG) concentrations and their rate of change (RoC) that are used to evaluate CGM performance, impairs comparability. For this article, several experts in the field of CGM performance testing have collaborated to propose characteristics of the distribution of comparator measurements that should be collected during CGM performance testing. Specifically, it is proposed that at least 7.5% of comparator BG concentrations are 300 mg/dL (16.7 mmol/L), respectively, and that at least 7.5% of BG-RoC combinations indicate fast BG changes with impending hypo- or hyperglycemia, respectively. These proposed characteristics of the comparator data can facilitate the harmonization of testing conditions across different studies and CGM systems and ensure that the most relevant scenarios representing real-life situations are established during performance testing. In addition, a study protocol and testing procedure for the manipulation of glucose levels are suggested that enable the collection of comparator data with these characteristics. This work is an important step toward establishing a future standard for the performance evaluation of CGM systems.Keywords
This publication has 50 references indexed in Scilit:
- A New-Generation Continuous Glucose Monitoring System: Improved Accuracy and Reliability Compared with a Previous-Generation SystemDiabetes Technology & Therapeutics, 2013
- Accuracy and Reliability of Continuous Glucose Monitoring Systems: A Head-to-Head ComparisonDiabetes Technology & Therapeutics, 2013
- A Dynamic Risk Measure from Continuous Glucose Monitoring DataDiabetes Technology & Therapeutics, 2011
- Evaluating the Accuracy, Reliability, and Clinical Applicability of Continuous Glucose Monitoring (CGM): Is CGM Ready for Real Time?Diabetes Technology & Therapeutics, 2009
- Accuracy of the 5-Day FreeStyle Navigator Continuous Glucose Monitoring SystemDiabetes Care, 2007
- Evaluation of CGMS ® During Rapid Blood Glucose Changes in Patients with Type 1 DiabetesDiabetes Technology & Therapeutics, 2006
- The Original Clarke Error Grid Analysis (EGA)Diabetes Technology & Therapeutics, 2005
- Defining and Reporting Hypoglycemia in DiabetesDiabetes Care, 2005
- The Accuracy of the GlucoWatch ® G2 ™ Biographer in Children with Type 1 Diabetes: Results of the Diabetes Research in Children Network (DirecNet) Accuracy StudyDiabetes Technology & Therapeutics, 2003
- A Continuous Glucose Sensor Based on Wired Enzyme ™ Technology - Results from a 3-Day Trial in Patients with Type 1 DiabetesDiabetes Technology & Therapeutics, 2003