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[Expert consensus on the clinical application of continuous glucose monitoring in critically ill patients (2026 edition)].

Created on 10 Oct 2026

Authors

Branch of Critical Care Medicine, China Association for Disaster & Emergency Rescue Medicine

Published in

Zhonghua yi xue za zhi. Volume 106. Issue 37. Pages 3995-4008. Oct 13, 2026.

Abstract

Glycemic fluctuations are highly prevalent among critically ill patients. Glycemic abnormalities constitute an independent risk factor for adverse outcomes, and their effective identification and management are essential to improving clinical prognosis in this population. Continuous glucose monitoring (CGM) technology, which continuously and in real time captures interstitial fluid glucose concentrations, provides multidimensional glycemic metrics and offers a novel technical approach to overcoming the inherent limitations of conventional intermittent glucose monitoring, thereby enabling refined glycemic management in critically ill patients. However, systematic guidance for its standardized application in the intensive care units (ICU) setting remains lacking. To address this gap, the Branch of Critical Care Medicine, China Association for Disaster and Emergency Rescue Medicine, convened a multidisciplinary panel of experts in critical care medicine, endocrinology, and nursing. Drawing on international evidence-based literature and clinical practice issues specific to China, the panel jointly developed the present consensus, with the aim of providing guidance for the standardized and individualized application of CGM in adult ICU patients. This consensus puts forward 27 recommendations addressing 12 questions regarding the use of CGM in critically ill patients. The content covers the definition, classification and hazards of glycemic abnormalities in critically ill patients, common blood glucose monitoring methods and their clinical implications, eligible populations for CGM, data interpretation, quality control and routine care of CGM, as well as accessibility and economic costs.

PMID:
42855769
Bibliographic data and abstract were imported from PubMed on 10 Oct 2026.

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