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Prevalence and factors associated with atrial fibrillation in older patients with obstructive sleep apnea

PURPOSE: This study sought to identify the prevalence and factors associated with atrial fibrillation (AF) in older patients with obstructive sleep apnea (OSA) in China.  METHODS: This was an explorative cross-sectional study. Between January 2015 and October 2017, we continuously recruited 1285 old...

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Autores principales: Wang, Huanhuan, Li, JianHua, Gao, Yinghui, Chen, Kaibing, Gao, Yan, Guo, JingJing, Shi, Min, Zou, Xiao, Xu, Weihao, Zhao, LiBo, Su, Xiaofeng, Wang, Yabin, Liu, Juan, Xu, Hu, Kong, Xiaoxuan, Lin, Junling, Qian, Xiaoshun, Han, Jiming, Liu, Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8922720/
https://www.ncbi.nlm.nih.gov/pubmed/35287580
http://dx.doi.org/10.1186/s12877-022-02791-4
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author Wang, Huanhuan
Li, JianHua
Gao, Yinghui
Chen, Kaibing
Gao, Yan
Guo, JingJing
Shi, Min
Zou, Xiao
Xu, Weihao
Zhao, LiBo
Su, Xiaofeng
Wang, Yabin
Liu, Juan
Xu, Hu
Kong, Xiaoxuan
Lin, Junling
Qian, Xiaoshun
Han, Jiming
Liu, Lin
author_facet Wang, Huanhuan
Li, JianHua
Gao, Yinghui
Chen, Kaibing
Gao, Yan
Guo, JingJing
Shi, Min
Zou, Xiao
Xu, Weihao
Zhao, LiBo
Su, Xiaofeng
Wang, Yabin
Liu, Juan
Xu, Hu
Kong, Xiaoxuan
Lin, Junling
Qian, Xiaoshun
Han, Jiming
Liu, Lin
author_sort Wang, Huanhuan
collection PubMed
description PURPOSE: This study sought to identify the prevalence and factors associated with atrial fibrillation (AF) in older patients with obstructive sleep apnea (OSA) in China.  METHODS: This was an explorative cross-sectional study. Between January 2015 and October 2017, we continuously recruited 1285 older patients with OSA who underwent overnight polysomnography from sleep centers of multiple hospitals. They were assessed using 12-lead ECG or 24-h dynamic ECG, and their baseline demographics, clinical characteristics, sleep parameters, and medical history were determined. Multivariate binary logistic regression analysis was used to investigate the factors related to AF in these older patients with OSA. RESULTS: The clinician classified 122 (9.5%) patients as having AF. The prevalence of AF significantly increased with age (P < 0.05) but did not significantly differ between the mild, moderate, and severe OSA groups. Additionally, the prevalence of paroxysmal AF was 7.2% among the overall study population, and it increased with OSA severity or advanced age (P < 0.05). Persistent AF was noted in 2.3% participants, and the prevalence also increased with age. The logistic regression analysis showed that age (OR = 1.054, 95%CI: 1.027–1.018, P < 0.001), history of drinking (OR = 1.752, 95%CI: 1.070–2.867, P < 0.05), chronic heart disease (OR = 1.778, 95%CI: 1.156–2.736, P < 0.01), diabetes mellitus (OR = 1.792, 95%CI: 1.183–2.713, P < 0.01), and reduced diastolic function (OR = 2.373, 95%CI = 1.298–4.337, P < 0.01) were relevant to AF among participants with OSA. CONCLUSION: The prevalence of AF is significantly common in older patients with OSA. Age, history of drinking, chronic heart disease, diabetes mellitus, and reduced diastolic function are independently related to AF in these patients.
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spelling pubmed-89227202022-03-22 Prevalence and factors associated with atrial fibrillation in older patients with obstructive sleep apnea Wang, Huanhuan Li, JianHua Gao, Yinghui Chen, Kaibing Gao, Yan Guo, JingJing Shi, Min Zou, Xiao Xu, Weihao Zhao, LiBo Su, Xiaofeng Wang, Yabin Liu, Juan Xu, Hu Kong, Xiaoxuan Lin, Junling Qian, Xiaoshun Han, Jiming Liu, Lin BMC Geriatr Research PURPOSE: This study sought to identify the prevalence and factors associated with atrial fibrillation (AF) in older patients with obstructive sleep apnea (OSA) in China.  METHODS: This was an explorative cross-sectional study. Between January 2015 and October 2017, we continuously recruited 1285 older patients with OSA who underwent overnight polysomnography from sleep centers of multiple hospitals. They were assessed using 12-lead ECG or 24-h dynamic ECG, and their baseline demographics, clinical characteristics, sleep parameters, and medical history were determined. Multivariate binary logistic regression analysis was used to investigate the factors related to AF in these older patients with OSA. RESULTS: The clinician classified 122 (9.5%) patients as having AF. The prevalence of AF significantly increased with age (P < 0.05) but did not significantly differ between the mild, moderate, and severe OSA groups. Additionally, the prevalence of paroxysmal AF was 7.2% among the overall study population, and it increased with OSA severity or advanced age (P < 0.05). Persistent AF was noted in 2.3% participants, and the prevalence also increased with age. The logistic regression analysis showed that age (OR = 1.054, 95%CI: 1.027–1.018, P < 0.001), history of drinking (OR = 1.752, 95%CI: 1.070–2.867, P < 0.05), chronic heart disease (OR = 1.778, 95%CI: 1.156–2.736, P < 0.01), diabetes mellitus (OR = 1.792, 95%CI: 1.183–2.713, P < 0.01), and reduced diastolic function (OR = 2.373, 95%CI = 1.298–4.337, P < 0.01) were relevant to AF among participants with OSA. CONCLUSION: The prevalence of AF is significantly common in older patients with OSA. Age, history of drinking, chronic heart disease, diabetes mellitus, and reduced diastolic function are independently related to AF in these patients. BioMed Central 2022-03-14 /pmc/articles/PMC8922720/ /pubmed/35287580 http://dx.doi.org/10.1186/s12877-022-02791-4 Text en © The Author(s) 2022 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
Wang, Huanhuan
Li, JianHua
Gao, Yinghui
Chen, Kaibing
Gao, Yan
Guo, JingJing
Shi, Min
Zou, Xiao
Xu, Weihao
Zhao, LiBo
Su, Xiaofeng
Wang, Yabin
Liu, Juan
Xu, Hu
Kong, Xiaoxuan
Lin, Junling
Qian, Xiaoshun
Han, Jiming
Liu, Lin
Prevalence and factors associated with atrial fibrillation in older patients with obstructive sleep apnea
title Prevalence and factors associated with atrial fibrillation in older patients with obstructive sleep apnea
title_full Prevalence and factors associated with atrial fibrillation in older patients with obstructive sleep apnea
title_fullStr Prevalence and factors associated with atrial fibrillation in older patients with obstructive sleep apnea
title_full_unstemmed Prevalence and factors associated with atrial fibrillation in older patients with obstructive sleep apnea
title_short Prevalence and factors associated with atrial fibrillation in older patients with obstructive sleep apnea
title_sort prevalence and factors associated with atrial fibrillation in older patients with obstructive sleep apnea
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8922720/
https://www.ncbi.nlm.nih.gov/pubmed/35287580
http://dx.doi.org/10.1186/s12877-022-02791-4
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