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Glycemic variability and the risk of atrial fibrillation: a meta-analysis

BACKGROUND: Glycemic variability (GV) has been associated with vascular complications in patients with diabetes. However, the relationship between GV and risk of atrial fibrillation (AF) remains not fully determined. We therefore conducted a systematic review and meta-analysis to evaluate the above...

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Autores principales: Li, Wei, Wang, Yang, Zhong, Guoqiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10232736/
https://www.ncbi.nlm.nih.gov/pubmed/37274320
http://dx.doi.org/10.3389/fendo.2023.1126581
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author Li, Wei
Wang, Yang
Zhong, Guoqiang
author_facet Li, Wei
Wang, Yang
Zhong, Guoqiang
author_sort Li, Wei
collection PubMed
description BACKGROUND: Glycemic variability (GV) has been associated with vascular complications in patients with diabetes. However, the relationship between GV and risk of atrial fibrillation (AF) remains not fully determined. We therefore conducted a systematic review and meta-analysis to evaluate the above association. METHODS: Medline, Embase, Web of Science, Wanfang, and China National Knowledge Infrastructure were searched for longitudinal follow-up studies comparing the incidence of AF between patients with higher versus lower GV. A random-effects model incorporating the potential heterogeneity was used to pool the results. RESULTS: Nine cohort studies with 6,877,661 participants were included, and 36,784 (0.53%) participants developed AF during follow-up. Pooled results showed that a high GV was associated with an increased risk of AF (risk ratio [RR]: 1.20, 95% confidence interval [CI]: 1.11 to 1.30, p < 0.001, I(2) = 20%). Subgroup analyses suggested consistent association between GV and AF in prospective (RR: 1.29, 95% CI: 1.05 to 1.59, p = 0.01) and retrospective studies (RR: 1.18, 95% CI: 1.08 to 1.29, p = 0.002), in diabetic (RR: 1.24, 95% CI: 1.03 to 1.50, p = 0.03) and non-diabetic subjects (RR: 1.13, 95% CI: 1.00 to 1.28, p = 0.05), in studies with short-term (RR: 1.25, 95% CI: 1.11 to 1.40, p < 0.001) and long-term GV (RR: 1.18, 95% CI: 1.05 to 1.34, p = 0.006), and in studies with different quality scores (p for subgroup difference all > 0.05). CONCLUSION: A high GV may predict an increased risk of AF in adult population.
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spelling pubmed-102327362023-06-02 Glycemic variability and the risk of atrial fibrillation: a meta-analysis Li, Wei Wang, Yang Zhong, Guoqiang Front Endocrinol (Lausanne) Endocrinology BACKGROUND: Glycemic variability (GV) has been associated with vascular complications in patients with diabetes. However, the relationship between GV and risk of atrial fibrillation (AF) remains not fully determined. We therefore conducted a systematic review and meta-analysis to evaluate the above association. METHODS: Medline, Embase, Web of Science, Wanfang, and China National Knowledge Infrastructure were searched for longitudinal follow-up studies comparing the incidence of AF between patients with higher versus lower GV. A random-effects model incorporating the potential heterogeneity was used to pool the results. RESULTS: Nine cohort studies with 6,877,661 participants were included, and 36,784 (0.53%) participants developed AF during follow-up. Pooled results showed that a high GV was associated with an increased risk of AF (risk ratio [RR]: 1.20, 95% confidence interval [CI]: 1.11 to 1.30, p < 0.001, I(2) = 20%). Subgroup analyses suggested consistent association between GV and AF in prospective (RR: 1.29, 95% CI: 1.05 to 1.59, p = 0.01) and retrospective studies (RR: 1.18, 95% CI: 1.08 to 1.29, p = 0.002), in diabetic (RR: 1.24, 95% CI: 1.03 to 1.50, p = 0.03) and non-diabetic subjects (RR: 1.13, 95% CI: 1.00 to 1.28, p = 0.05), in studies with short-term (RR: 1.25, 95% CI: 1.11 to 1.40, p < 0.001) and long-term GV (RR: 1.18, 95% CI: 1.05 to 1.34, p = 0.006), and in studies with different quality scores (p for subgroup difference all > 0.05). CONCLUSION: A high GV may predict an increased risk of AF in adult population. Frontiers Media S.A. 2023-05-18 /pmc/articles/PMC10232736/ /pubmed/37274320 http://dx.doi.org/10.3389/fendo.2023.1126581 Text en Copyright © 2023 Li, Wang and Zhong https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Endocrinology
Li, Wei
Wang, Yang
Zhong, Guoqiang
Glycemic variability and the risk of atrial fibrillation: a meta-analysis
title Glycemic variability and the risk of atrial fibrillation: a meta-analysis
title_full Glycemic variability and the risk of atrial fibrillation: a meta-analysis
title_fullStr Glycemic variability and the risk of atrial fibrillation: a meta-analysis
title_full_unstemmed Glycemic variability and the risk of atrial fibrillation: a meta-analysis
title_short Glycemic variability and the risk of atrial fibrillation: a meta-analysis
title_sort glycemic variability and the risk of atrial fibrillation: a meta-analysis
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10232736/
https://www.ncbi.nlm.nih.gov/pubmed/37274320
http://dx.doi.org/10.3389/fendo.2023.1126581
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