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


Journal

European heart journal. Quality of care & clinical outcomes
ISSN: 2058-1742
Titre abrégé: Eur Heart J Qual Care Clin Outcomes
Pays: England
ID NLM: 101677796

Informations de publication

Date de publication:
28 10 2021
Historique:
received: 23 06 2020
revised: 20 07 2020
accepted: 24 07 2020
pubmed: 1 8 2020
medline: 30 3 2022
entrez: 1 8 2020
Statut: ppublish

Résumé

To estimate the prevalence, incidence, mortality, and risk factors for atrial fibrillation (AF) in 195 countries and territories from 1990 to 2017. 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)]. 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.

Identifiants

pubmed: 32735316
pii: 5879281
doi: 10.1093/ehjqcco/qcaa061
pmc: PMC8557444
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

574-582

Informations de copyright

© The Author(s) 2020. Published by Oxford University Press on behalf of the European Society of Cardiology.

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Auteurs

Haijiang Dai (H)

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.
Department of Cardiology, The Third Xiangya Hospital, Central South University, 138 Tongzipo Road, Changsha 410013, China.

Quanyu Zhang (Q)

Department of Cardiology, General Hospital of Northern Theater Command, Shenyang, China.

Arsalan Abu Much (AA)

Leviev Heart Center, Sheba Medical Center, Tel HaShomer, Israel.
Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.

Elad Maor (E)

Leviev Heart Center, Sheba Medical Center, Tel HaShomer, Israel.
Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.

Amit Segev (A)

Leviev Heart Center, Sheba Medical Center, Tel HaShomer, Israel.
Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.

Roy Beinart (R)

Leviev Heart Center, Sheba Medical Center, Tel HaShomer, Israel.
Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.

Salim Adawi (S)

Department of Cardiovascular Medicine, Lady Davis Carmel Medical Center, Haifa, Israel.
The Ruth and Bruce Rappaport Faculty of Medicine, Technion Israel Institute of Medicine, Haifa, Israel.

Yao Lu (Y)

Department of Cardiology, The Third Xiangya Hospital, Central South University, 138 Tongzipo Road, Changsha 410013, China.
Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha, China.

Nicola Luigi Bragazzi (NL)

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 (J)

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.

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