Literature DB >> 29885822

Prevalence of atrial fibrillation in different socioeconomic regions of China and its association with stroke: Results from a national stroke screening survey.

Xiaojun Wang1, Qian Fu2, Fujian Song3, Wenzhen Li1, Xiaoxv Yin1, Wei Yue4, Feng Yan5, Hong Zhang6, Hao Zhang7, Zhenjie Teng8, Longde Wang9, Yanhong Gong10, Zhihong Wang11, Zuxun Lu12.   

Abstract

BACKGROUND: Atrial fibrillation (AF) is the most common sustained arrhythmia in clinical practice. This study aimed to estimate the prevalence of AF in different socioeconomic regions of China and identify its association with stroke, through a national survey.
METHODS: The study included 726,451 adults aged ≥40 years who were participants of the China National Stroke Screening and Prevention Project, a nationally representative cross-sectional study. Stepwise logistic regression analyses were conducted to investigate the association between AF and stroke.
RESULTS: The overall standardized prevalence rate of AF was 2.31%. The prevalence of AF was highest in high-income regions (2.54%), followed by middle-income regions (2.33%), and lowest in low-income regions (1.98%). Women had a higher prevalence of AF than men in all regions (low-income regions, 2.30% vs 1.65%; middle-income regions, 2.78% vs 1.89%; and high-income regions, 2.96% vs 2.12%). Compared with urban residents, the prevalence of AF among rural residents was higher in low- (2.03% vs 1.91%) and middle-income regions (2.69% vs 1.90%), but lower in high-income regions (2.44% vs 2.58%). Participants with AF were more likely to have a stroke than those without AF (9.48% vs 2.26%). After adjusting for age, sex, location, overweight or obese, smoking, drinking, physical inactivity, hypertension, diabetes, dyslipidemia, and a family history of stroke, results showed that AF was significantly associated with stroke.
CONCLUSIONS: The prevalence of AF has increased in recent years, and it was positively correlated with socioeconomic status, sex (women), location (rural areas), and stroke.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Atrial fibrillation; China; Epidemiology; Prevalence; Stroke

Mesh:

Year:  2018        PMID: 29885822     DOI: 10.1016/j.ijcard.2018.05.131

Source DB:  PubMed          Journal:  Int J Cardiol        ISSN: 0167-5273            Impact factor:   4.164


  16 in total

1.  Prevalence and risk of atrial fibrillation in China: A national cross-sectional epidemiological study.

Authors:  Shaobo Shi; Yanhong Tang; Qingyan Zhao; Hong Yan; Bin Yu; Qiangsun Zheng; Yigang Li; Liangrong Zheng; Yiqiang Yuan; Jingquan Zhong; Jian Xu; Yanqing Wu; Jing Xu; Lin Chen; Shufeng Li; Jian Jiang; Jingfeng Wang; Jie Fan; Minglong Chen; Baopeng Tang; Wei Li; Qiang Wu; Bei Shi; Shenghua Zhou; Xingsheng Zhao; Yuehui Yin; Zheng Zhang; Guoqiang Zhong; Xuebin Han; Fan Liu; Ming Wu; Lianjun Gao; Bo Yang; He Huang; Congxin Huang
Journal:  Lancet Reg Health West Pac       Date:  2022-04-11

2.  Discover high-risk factor combinations using Bayesian network from cohort data of National Stoke Screening in China.

Authors:  Xuemeng Li; Jianfei Pang; Mei Li; Dongsheng Zhao
Journal:  BMC Med Inform Decis Mak       Date:  2019-04-09       Impact factor: 2.796

3.  Catheter ablation of atrial fibrillation after pericardiectomy: multi-center experience in China.

Authors:  Ronghui Yu; Hui Xi; Peize Wang; Dongling Xu; Jun Lu; Fengqiang Xu; Lei An; Xin Zhao; Rong Bai
Journal:  Ann Transl Med       Date:  2020-05

Review 4.  Efficacy and Safety of Non-Vitamin K Anticoagulants for Atrial Fibrillation in Relation to Different Renal Function Levels: A Network Meta-Analysis.

Authors:  Hao Jin; Kongbo Zhu; Lina Wang; Yifan Li; Jingjun Meng; Hong Zhi
Journal:  Cardiovasc Ther       Date:  2020-04-22       Impact factor: 3.023

5.  Potential Target Genes in the Development of Atrial Fibrillation: A Comprehensive Bioinformatics Analysis.

Authors:  Liang Liu; Yun Yu; Long-Long Hu; Quan-Bin Dong; Feng Hu; Ling-Juan Zhu; Qian Liang; Ling-Ling Yu; Hui-Hui Bao; Xiao-Shu Cheng
Journal:  Med Sci Monit       Date:  2021-03-20

6.  Association Between Atrial Fibrillation and the Risk of Cardiovascular Mortality Among Elderly Adults With Ischemic Stroke in Northeast China: A Community-Based Prospective Study.

Authors:  Zhenwei Xia; Wei Dang; Yang Jiang; Shuang Liu; Ling Yue; Fengshuo Jia; Qun Sun; Lei Shi; Jixu Sun; Jiao Li; Hongyun Chen
Journal:  Front Aging Neurosci       Date:  2022-03-01       Impact factor: 5.750

7.  2021 Asia Pacific Heart Rhythm Society (APHRS) practice guidance on atrial fibrillation screening.

Authors:  Ngai-Yin Chan; Jessica Orchard; Michael-Joseph Agbayani; Dean Boddington; Tze-Fan Chao; Sofian Johar; Bobby John; Boyoung Joung; Saravanan Krishinan; Rungroj Krittayaphong; Sayaka Kurokawa; Chu-Pak Lau; Toon Wei Lim; Pham Tran Linh; Vien Hoang Long; Ajay Naik; Yasuo Okumura; Tetsuo Sasano; Bernard Yan; Sunu Budhi Raharjo; Dicky Armein Hanafy; Yoga Yuniadi; Nwe Nwe; Zahid Aslam Awan; He Huang; Ben Freedman
Journal:  J Arrhythm       Date:  2021-12-28

8.  Nomogram to predict hemorrhagic transformation for acute ischemic stroke in Western China: a retrospective analysis.

Authors:  Keming Zhang; Jianfang Luan; Changqing Li; Mingli Chen
Journal:  BMC Neurol       Date:  2022-04-26       Impact factor: 2.903

9.  Data on prevalence of atrial fibrillation and its association with stroke in low-, middle-, and high-income regions of China.

Authors:  Xiaojun Wang; Qian Fu; Fujian Song; Wenzhen Li; Xiaoxv Yin; Wei Yue; Feng Yan; Hong Zhang; Hao Zhang; Zhenjie Teng; Longde Wang; Yanhong Gong; Zhihong Wang; Zuxun Lu
Journal:  Data Brief       Date:  2018-06-26

10.  Using machine learning models to improve stroke risk level classification methods of China national stroke screening.

Authors:  Xuemeng Li; Di Bian; Jinghui Yu; Mei Li; Dongsheng Zhao
Journal:  BMC Med Inform Decis Mak       Date:  2019-12-10       Impact factor: 2.796

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