Global, regional, and national prevalence, incidence, mortality, and risk factors for atrial fibrillation, 1990–2017: results from the Global Burden of Disease Study 2017

  • Haijiang Dai
    Laboratory for Industrial and Applied Mathematics, Centre for Disease Modelling, Department of Mathematics and Statistics, York University, 4700 Keele Street, Toronto, ON M3J 1P3, Canada
  • Quanyu Zhang
    Department of Cardiology, General Hospital of Northern Theater Command, Shenyang, China
  • Arsalan Abu Much
    Leviev Heart Center, Sheba Medical Center, Tel HaShomer, Israel
  • Elad Maor
    Leviev Heart Center, Sheba Medical Center, Tel HaShomer, Israel
  • Amit Segev
    Leviev Heart Center, Sheba Medical Center, Tel HaShomer, Israel
  • Roy Beinart
    Leviev Heart Center, Sheba Medical Center, Tel HaShomer, Israel
  • Salim Adawi
    Department of Cardiovascular Medicine, Lady Davis Carmel Medical Center, Haifa, Israel
  • Yao Lu
    Department of Cardiology, The Third Xiangya Hospital, Central South University, 138 Tongzipo Road, Changsha 410013, China
  • Nicola Luigi Bragazzi
    Laboratory for Industrial and Applied Mathematics, Centre for Disease Modelling, Department of Mathematics and Statistics, York University, 4700 Keele Street, Toronto, ON M3J 1P3, Canada
  • Jianhong Wu
    Laboratory for Industrial and Applied Mathematics, Centre for Disease Modelling, Department of Mathematics and Statistics, York University, 4700 Keele Street, Toronto, ON M3J 1P3, Canada

説明

<jats:title>Abstract</jats:title> <jats:sec> <jats:title>Aims</jats:title> <jats:p>To estimate the prevalence, incidence, mortality, and risk factors for atrial fibrillation (AF) in 195 countries and territories from 1990 to 2017.</jats:p> </jats:sec> <jats:sec> <jats:title>Methods and results</jats:title> <jats:p>Following the methodologies used in the Global Burden of Disease Study 2017, the prevalence, incidence, and mortality of AF were analysed by age, sex, year, socio-demographic index (SDI), and location. The percentage contributions of major risk factors to age-standardized AF deaths were measured by population attributable fractions. In 2017, there were 37.57 million [95% uncertainty interval (UI) 32.55–42.59] prevalent cases and 3.05 million (95% UI 2.61–3.51) incident cases of AF globally, contributing to 287 241 (95% UI 276 355–304 759) deaths. The age-standardized rates of prevalent cases, incident cases, and deaths of AF in 2017 and their temporal trends from 1990 to 2017 varied significantly by SDI quintile and location. High systolic blood pressure was the leading risk factor for AF age-standardized deaths [34.3% (95% UI 27.4–41.5)] in 2017, followed by high body mass index [20.7% (95% UI 11.5–32.2)] and alcohol use [9.4% (95% UI 7.0–12.2)].</jats:p> </jats:sec> <jats:sec> <jats:title>Conclusion</jats:title> <jats:p>Our study has systematically and globally assessed the temporal trends of AF, which remains a major public heath challenge. Although AF mainly occurred in developed countries, the unfavourable trend in countries with lower SDI also deserves particular attention. More effective prevention and treatment strategies aimed at counteracting the increase in AF burden should be established in some countries.</jats:p> </jats:sec>

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