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

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...

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Autores principales: Zhang, Jianbo, Yang, Jianmin, Liu, Liwei, Li, Liyan, Cui, Jiangyin, Wu, Shuo, Tang, Kuanxiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8077924/
https://www.ncbi.nlm.nih.gov/pubmed/33906667
http://dx.doi.org/10.1186/s12902-021-00753-2
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author Zhang, Jianbo
Yang, Jianmin
Liu, Liwei
Li, Liyan
Cui, Jiangyin
Wu, Shuo
Tang, Kuanxiao
author_facet Zhang, Jianbo
Yang, Jianmin
Liu, Liwei
Li, Liyan
Cui, Jiangyin
Wu, Shuo
Tang, Kuanxiao
author_sort Zhang, Jianbo
collection PubMed
description 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.
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spelling pubmed-80779242021-04-29 Significant abnormal glycemic variability increased the risk for arrhythmias in elderly type 2 diabetic patients Zhang, Jianbo Yang, Jianmin Liu, Liwei Li, Liyan Cui, Jiangyin Wu, Shuo Tang, Kuanxiao BMC Endocr Disord Research Article 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. BioMed Central 2021-04-27 /pmc/articles/PMC8077924/ /pubmed/33906667 http://dx.doi.org/10.1186/s12902-021-00753-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Zhang, Jianbo
Yang, Jianmin
Liu, Liwei
Li, Liyan
Cui, Jiangyin
Wu, Shuo
Tang, Kuanxiao
Significant abnormal glycemic variability increased the risk for arrhythmias in elderly type 2 diabetic patients
title 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_short 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
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8077924/
https://www.ncbi.nlm.nih.gov/pubmed/33906667
http://dx.doi.org/10.1186/s12902-021-00753-2
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