Significant abnormal glycemic variability increased the risk for arrhythmias in elderly type 2 diabetic patients

Abstract Background Little is known about whether the influence of glycemic variability on arrhythmia is related to age in type 2 diabetes mellitus (T2DM). Therefore, we aimed to compare the association between glycemic variability and arrhythmia in middle-aged and elderly T2DM patients. Methods A t...

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Main Authors: Jianbo Zhang, Jianmin Yang, Liwei Liu, Liyan Li, Jiangyin Cui, Shuo Wu, Kuanxiao Tang
Format: Article
Language:English
Published: BMC 2021-04-01
Series:BMC Endocrine Disorders
Subjects:
Online Access:https://doi.org/10.1186/s12902-021-00753-2
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spelling doaj-d7bb23830ae84f6281221f2162f7fbf92021-05-02T11:20:56ZengBMCBMC Endocrine Disorders1472-68232021-04-012111810.1186/s12902-021-00753-2Significant abnormal glycemic variability increased the risk for arrhythmias in elderly type 2 diabetic patientsJianbo Zhang0Jianmin Yang1Liwei Liu2Liyan Li3Jiangyin Cui4Shuo Wu5Kuanxiao Tang6Department of General Medicine, Qilu Hospital of Shandong UniversityThe Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education, Chinese National Health Commission and Chinese Academy of Medical Sciences, The State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, department of Cardiology, Qilu Hospital of Shandong UniversityDepartment of General Medicine, Qilu Hospital of Shandong UniversityDepartment of Endocrinology and Metabolism, First People’s Hospital of Jinan CityDepartment of General Medicine, Qilu Hospital of Shandong UniversityDepartment of General Medicine, Qilu Hospital of Shandong UniversityDepartment of General Medicine, Qilu Hospital of Shandong UniversityAbstract Background Little is known about whether the influence of glycemic variability on arrhythmia is related to age in type 2 diabetes mellitus (T2DM). Therefore, we aimed to compare the association between glycemic variability and arrhythmia in middle-aged and elderly T2DM patients. Methods A total of 107 patients were divided into two groups: elderly diabetes mellitus group (EDM, n = 73) and middle-aged diabetes mellitus group (MDM, n = 34). The main clinical data, continuous glucose monitoring (CGM) and dynamic ECG reports were collected. The parameters including standard deviation of blood glucose (SDBG), largest amplitude of glycemic excursions (LAGE), mean amplitude of glycemic excursions (MAGE), absolute means of daily differences (MODD), time in range (TIR), time below range (TBR), time above range (TAR), coefficient of variation (CV) were tested for glycemic variability evaluation. Results In terms of blood glucose fluctuations, MAGE (5.77 ± 2.16 mmol/L vs 4.63 ± 1.89 mmol/L, P = 0.026), SDBG (2.39 ± 1.00 mmol/L vs 2.00 ± 0.82 mmol/L, P = 0.048), LAGE (9.53 ± 3.37 mmol/L vs 7.84 ± 2.64 mmol/L, P = 0.011) was significantly higher in EDM group than those of MDM group. The incidences of atrial premature beat, couplets of atrial premature beat, atrial tachycardia and ventricular premature beat were significantly higher in EDM group compared with the MDM group (all P < 0.05). Among patients with hypoglycemia events, the incidences of atrial premature beat, couplets of atrial premature beat, atrial tachycardia and ventricular premature beat (all P < 0.05) were significantly higher in the EDM group than those in the MDM group. In EDM group, TIR was negatively correlated with atrial tachycardia in the MAGE1 layer and with atrial tachycardia and ventricular premature beat in the MAGE2 layer, TBR was significantly positively correlated with atrial tachycardia in the MAGE2 layer (all P < 0.05). In MDM group, TAR was positively correlated with ventricular premature beat and atrial tachycardia in the MAGE2 layer (all P < 0.05). Conclusions The study demonstrated the elderly patients had greater glycemic variability and were more prone to arrhythmias. Therefore, active control of blood glucose fluctuation in elderly patients will help to reduce the risk of severe arrhythmia.https://doi.org/10.1186/s12902-021-00753-2ElderlyType 2 diabetesGlycemic variabilityArrhythmia
collection DOAJ
language English
format Article
sources DOAJ
author Jianbo Zhang
Jianmin Yang
Liwei Liu
Liyan Li
Jiangyin Cui
Shuo Wu
Kuanxiao Tang
spellingShingle Jianbo Zhang
Jianmin Yang
Liwei Liu
Liyan Li
Jiangyin Cui
Shuo Wu
Kuanxiao Tang
Significant abnormal glycemic variability increased the risk for arrhythmias in elderly type 2 diabetic patients
BMC Endocrine Disorders
Elderly
Type 2 diabetes
Glycemic variability
Arrhythmia
author_facet Jianbo Zhang
Jianmin Yang
Liwei Liu
Liyan Li
Jiangyin Cui
Shuo Wu
Kuanxiao Tang
author_sort Jianbo Zhang
title Significant abnormal glycemic variability increased the risk for arrhythmias in elderly type 2 diabetic patients
title_short Significant abnormal glycemic variability increased the risk for arrhythmias in elderly type 2 diabetic patients
title_full Significant abnormal glycemic variability increased the risk for arrhythmias in elderly type 2 diabetic patients
title_fullStr Significant abnormal glycemic variability increased the risk for arrhythmias in elderly type 2 diabetic patients
title_full_unstemmed Significant abnormal glycemic variability increased the risk for arrhythmias in elderly type 2 diabetic patients
title_sort significant abnormal glycemic variability increased the risk for arrhythmias in elderly type 2 diabetic patients
publisher BMC
series BMC Endocrine Disorders
issn 1472-6823
publishDate 2021-04-01
description Abstract Background Little is known about whether the influence of glycemic variability on arrhythmia is related to age in type 2 diabetes mellitus (T2DM). Therefore, we aimed to compare the association between glycemic variability and arrhythmia in middle-aged and elderly T2DM patients. Methods A total of 107 patients were divided into two groups: elderly diabetes mellitus group (EDM, n = 73) and middle-aged diabetes mellitus group (MDM, n = 34). The main clinical data, continuous glucose monitoring (CGM) and dynamic ECG reports were collected. The parameters including standard deviation of blood glucose (SDBG), largest amplitude of glycemic excursions (LAGE), mean amplitude of glycemic excursions (MAGE), absolute means of daily differences (MODD), time in range (TIR), time below range (TBR), time above range (TAR), coefficient of variation (CV) were tested for glycemic variability evaluation. Results In terms of blood glucose fluctuations, MAGE (5.77 ± 2.16 mmol/L vs 4.63 ± 1.89 mmol/L, P = 0.026), SDBG (2.39 ± 1.00 mmol/L vs 2.00 ± 0.82 mmol/L, P = 0.048), LAGE (9.53 ± 3.37 mmol/L vs 7.84 ± 2.64 mmol/L, P = 0.011) was significantly higher in EDM group than those of MDM group. The incidences of atrial premature beat, couplets of atrial premature beat, atrial tachycardia and ventricular premature beat were significantly higher in EDM group compared with the MDM group (all P < 0.05). Among patients with hypoglycemia events, the incidences of atrial premature beat, couplets of atrial premature beat, atrial tachycardia and ventricular premature beat (all P < 0.05) were significantly higher in the EDM group than those in the MDM group. In EDM group, TIR was negatively correlated with atrial tachycardia in the MAGE1 layer and with atrial tachycardia and ventricular premature beat in the MAGE2 layer, TBR was significantly positively correlated with atrial tachycardia in the MAGE2 layer (all P < 0.05). In MDM group, TAR was positively correlated with ventricular premature beat and atrial tachycardia in the MAGE2 layer (all P < 0.05). Conclusions The study demonstrated the elderly patients had greater glycemic variability and were more prone to arrhythmias. Therefore, active control of blood glucose fluctuation in elderly patients will help to reduce the risk of severe arrhythmia.
topic Elderly
Type 2 diabetes
Glycemic variability
Arrhythmia
url https://doi.org/10.1186/s12902-021-00753-2
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