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

      research-article
      a , b , c , , a , b , c , , a , b , c , , d , d , e , f , g , h , i , j , k , l , m , n , o , p , q , r , s , t , u , v , w , x , y , z , aa , ab , ac , ad , ae , a , b , c , a , b , c , * , a , b , c , * , China Atrial Fibrillation Center Project Team)
      The Lancet Regional Health: Western Pacific
      Elsevier
      Atrial fibrillation, Prevalence, Factor, Adult, China, AF, atrial fibrillation, BMI, body mass index, CHD, coronary heart disease, CHF, chronic heart failure, CI, confidence interval, DM, diabetes mellitus, ECG, electrocardiogram, HTN, hypertension, OR, odds ratio, SD, standard deviation, TIA, transient ischaemic attack

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          Summary

          Background

          Atrial fibrillation (AF) is the most common persistent cardiac arrhythmia. This study aimed to estimate its prevalence and explore associated factors in adults aged 18 years or older in China.

          Methods

          Study data were derived from a national sample from July 2020 to September 2021. Participants were recruited using a multistage stratified sampling method from twenty-two provinces, autonomous regions, and municipalities in China. AF was determined based on a history of diagnosed AF or electrocardiogram results.

          Findings

          A total of 114,039 respondents were included in the final analysis with a mean age of 55 years (standard deviation 17), 52·1% of whom were women. The crude prevalence of AF was 2·3% (95% confidence interval [CI] 1·7-2·8) and increased with age. The age-standardized AF prevalence was 1·6% (95% CI 1·6-1·7%) overall, and 1·7% (1·6-1·8%), 1·4% (1·3-1·5%), 1·6% (95% CI 1·5-1·7%), and 1·7% (1·6-1·9%) in men, women, urban areas, and rural areas, respectively. The prevalence was higher in the central regions (2·5%, 2·3-2·7%) than in the western regions (1·5%, 1·0-2·0%) and eastern regions (1·1%, 1·0-1·2%) in the overall population, either in the gender or residency subgroups. The associated factors for AF included age (per 10 years; odds ratio 1·41 [95% CI 1·38-1·46]; p < 0·001), men (1·34 [1·24-1·45]; p < 0·001), hypertension (1·22 [1·12-1·33]; p < 0·001), coronary heart disease (1·44 [1·28-1·62]; p < 0·001), chronic heart failure (3·70 [3·22-4·26]; p < 0·001), valvular heart disease (2·13 [1·72-2·63]; p < 0·001), and transient ischaemic attack/stroke (1·22 [1·04-1·43]; p = 0·013).

          Interpretation

          The prevalence of AF was 1.6% in the Chinese adult population and increased with age, with significant geographic variation. Older age, male sex, and cardiovascular disease were potent factors associated with AF. It is crucial to increase the awareness of AF and disseminate standardized treatment in clinical settings to reduce the disease burden.

          Funding

          This research was supported the Nature Science Foundation of Hubei province (No: 2017CFB204).

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          Most cited references35

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            Heart Disease and Stroke Statistics—2019 Update: A Report From the American Heart Association

            Circulation, 139(10)
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              Predictive values of body mass index and waist circumference for risk factors of certain related diseases in Chinese adults--study on optimal cut-off points of body mass index and waist circumference in Chinese adults.

              For prevention of obesity in Chinese population, it is necessary to define the optimal range of healthy weight and the appropriate cut-off points of BMI and waist circumference for Chinese adults. The Working Group on Obesity in China under the support of International Life Sciences Institute Focal point in China organized a meta-analysis on the relation between BMI, waist circumference and risk factors of related chronic diseases (e.g., high diabetes, diabetes mellitus, and lipoprotein disorders). 13 population studies in all met the criteria for enrollment, with data of 239,972 adults (20-70 year) surveyed in the 1990s. Data on waist circumference was available for 111,411 persons and data on serum lipids and glucose were available for more than 80,000. The study populations located in 21 provinces, municipalities and autonomous regions in mainland China as well as in Taiwan. Each enrolled study provided data according to a common protocol and uniform format. The Center for data management in Department of Epidemiology, Fu Wai Hospital was responsible for statistical analysis. The prevalence of hypertension, diabetes, dyslipidemia and clustering of risk factors all increased with increasing levels of BMI or waist circumference. BMI at 24 with best sensitivity and specificity for identification of the risk factors, was recommended as the cut-off point for overweight, BMI at 28 which may identify the risk factors with specificity around 90% was recommended as the cut-off point for obesity. Waist circumference beyond 85 cm for men and beyond 80 cm for women were recommended as the cut-off points for central obesity. Analysis of population attributable risk percent illustrated that reducing BMI to normal range ( or = 28) with drugs could prevent 15%-17% clustering of risk factors. The waist circumference controlled under 85 cm for men and under 80 cm for women, could prevent 47%-58% clustering of risk factors. According to these, a classification of overweight and obesity for Chinese adults is recommended.
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                Author and article information

                Contributors
                Journal
                Lancet Reg Health West Pac
                Lancet Reg Health West Pac
                The Lancet Regional Health: Western Pacific
                Elsevier
                2666-6065
                11 April 2022
                June 2022
                11 April 2022
                : 23
                : 100439
                Affiliations
                [a ]Department of Cardiology, Renmin Hospital of Wuhan University, 238 Jiefang Road, Wuchang District, Wuhan 430060, Hubei, China
                [b ]Cardiovascular Research Institute, Wuhan University, Wuhan 430060, China
                [c ]Hubei Key Laboratory of Cardiology, Wuhan University, Wuhan 430060, China
                [d ]School of Public Health,Wuhan University, Wuhan 430071, China
                [e ]The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
                [f ]Xinhua Hospital Affiliated To Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
                [g ]The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
                [h ]Henan Provincial Chest Hospital, Zhengzhou 450008, China
                [i ]Qilu Hospital of Shandong University, Jinan 250063, China
                [j ]Anhui Provincial Hospital, Hefei 230001, China
                [k ]The Second Affiliated Hospital of Nanchang University, Nanchang 330006, China
                [l ]Tianjin Chest Hospital, Tianjin 300222, China
                [m ]Fujian Provincial Hospital, Fuzhou 350013, China
                [n ]The Second Affiliated Hospital of Harbin Medical University, Harbin 150086, China
                [o ]West China Hospital of Sichuan University, Chengdu 610044, China
                [p ]Sun Yat-sen Memorial Hospital, Guangzhou 510120, China
                [q ]The First People's Hospital of Yunnan Province, Kunming 650034, China
                [r ]Jiangsu Province Hospital, Nanjin 210029, China
                [s ]The First Affiliated Hospital of Xinjiang Medical University, Urumqi 830011, China
                [t ]The Affiliated Hospital of Guizhou Medical University, Guizhou 550004, China
                [u ]Guizhou Provincial People's Hospital, Guizhou 550002, China
                [v ]Affiliated Hospital of Zunyi Medical University, Zunyi 563099, China
                [w ]The Second Xiangya Hospital of Central South University, Changsha 430062, China
                [x ]Inner Mongolia Autonomous Region People's Hospital, Huhehot 010020, China
                [y ]The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China
                [z ]The First Hospital of Lanzhou University, Lanzhou 730013, China
                [aa ]The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China
                [ab ]Shanxi Cardiovascular Hospital, Taiyuan 030024, China
                [ac ]The Second Hospital of Hebei Medical University, Shijiazhuang 050004, China
                [ad ]Hainan General Hospital, Haikou 570311, China
                [ae ]The First Affiliated Hospital of Dalian Medical University, Dalian 116051, China
                Author notes
                [* ]Corresponding authors at: Department of Cardiology, Renmin Hospital of Wuhan University, 238 Jiefang Road, Wuchang District, Wuhan, Hubei 430060, China. huanghe1977@ 123456whu.edu.cn huangcongxin@ 123456vip.163.com
                [†]

                These authors contributed to the work equally and should be regarded as co-first authors.

                Article
                S2666-6065(22)00054-2 100439
                10.1016/j.lanwpc.2022.100439
                9252928
                35800039
                74013f20-ae1e-470b-ba53-c3baa4465353
                © 2022 Published by Elsevier Ltd.

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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                atrial fibrillation,prevalence,factor,adult,china,af, atrial fibrillation,bmi, body mass index,chd, coronary heart disease,chf, chronic heart failure,ci, confidence interval,dm, diabetes mellitus,ecg, electrocardiogram,htn, hypertension,or, odds ratio,sd, standard deviation,tia, transient ischaemic attack

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