S Suh1, J Y Joung2, S M Jin2, M Y Kim2, J C Bae2, H D Park3, M S Lee2, M K Lee2, J H Kim4. 1. Division of Endocrinology and Metabolism, Department of Internal Medicine, Dong-A University Medical Center, Dong-A University College of Medicine, Busan, Republic of Korea. 2. Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 50, Irwon-Dong, Gangnam-Gu, 135-710 Seoul, Republic of Korea. 3. Department of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea. 4. Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 50, Irwon-Dong, Gangnam-Gu, 135-710 Seoul, Republic of Korea. Electronic address: jaehyeon@skku.edu.
Abstract
AIMS: This study investigated the relationship between markers of overall glucose exposure, postprandial glucose excursions and glycaemic variability in patients with type 2 diabetes mellitus (T2DM). METHODS: A total of 63 patients with T2DM (mean age 56 years) were enrolled. All wore a continuous glucose monitoring system (CGMS) device for 72 h to collect data on markers of overall glucose exposure, postprandial glucose excursions and glycaemic variability parameters. RESULTS: Spearman's correlation analysis revealed significant correlations between all markers of overall glucose exposure and various parameters related to glucose excursions. The percent coefficient of variation (CV) showed the strongest correlation with glycated albumin (r=0.470, P<0.01). In participants with HbA1c levels < 7.5% (n=33), almost all glycaemic markers and glycaemic variability parameters were significantly correlated with each other. Also, all postprandial glucose excursion parameters showed significant correlation with other glycaemic markers, and all markers of overall glucose exposure were significantly related to mean glucose, postprandial glucose excursions and glycaemic variability parameters (except CV). In contrast, in participants with HbA1c levels ≥ 7.5% (n=30), no parameters of postprandial glucose excursions and glycaemic variability were related to any markers of chronic glycaemia. CONCLUSION: Postprandial glucose excursions may explain glycaemic variability and total glucose exposures in well-controlled T2DM patients.
AIMS: This study investigated the relationship between markers of overall glucose exposure, postprandial glucose excursions and glycaemic variability in patients with type 2 diabetes mellitus (T2DM). METHODS: A total of 63 patients with T2DM (mean age 56 years) were enrolled. All wore a continuous glucose monitoring system (CGMS) device for 72 h to collect data on markers of overall glucose exposure, postprandial glucose excursions and glycaemic variability parameters. RESULTS: Spearman's correlation analysis revealed significant correlations between all markers of overall glucose exposure and various parameters related to glucose excursions. The percent coefficient of variation (CV) showed the strongest correlation with glycated albumin (r=0.470, P<0.01). In participants with HbA1c levels < 7.5% (n=33), almost all glycaemic markers and glycaemic variability parameters were significantly correlated with each other. Also, all postprandial glucose excursion parameters showed significant correlation with other glycaemic markers, and all markers of overall glucose exposure were significantly related to mean glucose, postprandial glucose excursions and glycaemic variability parameters (except CV). In contrast, in participants with HbA1c levels ≥ 7.5% (n=30), no parameters of postprandial glucose excursions and glycaemic variability were related to any markers of chronic glycaemia. CONCLUSION: Postprandial glucose excursions may explain glycaemic variability and total glucose exposures in well-controlled T2DM patients.
Authors: So Ra Kim; Yong Ho Lee; Sang Guk Lee; Sun Hee Lee; Eun Seok Kang; Bong Soo Cha; Hyun Chul Lee; Jeong Ho Kim; Byung Wan Lee Journal: Ann Lab Med Date: 2017-01 Impact factor: 3.464