Quantification of the relation between continuous glucose monitoring observation period and the estimation error in assessing long-term glucose regulation.

ABSTRACT:

Introduction

The integration of continuous glucose monitoring (CGM) into clinical practice has rapidly emerged in the last decade, changing the evaluation of long-term glucose regulation in patients with diabetes. When using CGM-derived metrics to evaluate long-term glucose regulation, it is essential to determine the minimal observation period necessary for a reliable estimate. The approach of this study was to calculate mean absolute errors (MAEs) for varying window lengths, with the goal of demonstrating how the CGM observation period influences the accuracy of the estimation of 90-day glycemic control.

Research design and methods

CGM data were collected from the DIABASE cohort (ZGT hospital, The Netherlands). Trailing aggregates (TAs) were calculated for four CGM-derived

SUBMITTER: Zoet S 

PROVIDER: S-EPMC11865789 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature