Literature DB >> 29038167

Sex Differences and Similarities in Atrial Fibrillation Epidemiology, Risk Factors, and Mortality in Community Cohorts: Results From the BiomarCaRE Consortium (Biomarker for Cardiovascular Risk Assessment in Europe).

Christina Magnussen1, Teemu J Niiranen1, Francisco M Ojeda1, Francesco Gianfagna1, Stefan Blankenberg1, Inger Njølstad1, Erkki Vartiainen1, Susana Sans1, Gerard Pasterkamp1, Maria Hughes1, Simona Costanzo1, Maria Benedetta Donati1, Pekka Jousilahti1, Allan Linneberg1, Tarja Palosaari1, Giovanni de Gaetano1, Martin Bobak1, Hester M den Ruijter1, Ellisiv Mathiesen1, Torben Jørgensen1, Stefan Söderberg1, Kari Kuulasmaa1, Tanja Zeller1, Licia Iacoviello1, Veikko Salomaa1, Renate B Schnabel2.   

Abstract

BACKGROUND: Atrial fibrillation (AF) is a common cardiac disease in aging populations with high comorbidity and mortality. Sex differences in AF epidemiology are insufficiently understood.
METHODS: In N=79 793 individuals without AF diagnosis at baseline (median age, 49.6 years; age range, 24.1-97.6 years; 51.7% women) from 4 community-based European studies (FINRISK, DanMONICA, Moli-sani Northern Sweden) of the BiomarCaRE consortium (Biomarker for Cardiovascular Risk Assessment in Europe), we examined AF incidence, its association with mortality, common risk factors, biomarkers, and prevalent cardiovascular disease, and their attributable risk by sex. Median follow-up time was 12.6 (to a maximum of 28.2) years.
RESULTS: Fewer AF cases were observed in women (N=1796; 4.4%), than in men (N=2465; 6.4%). Cardiovascular risk factor distribution and lipid profile at baseline were less beneficial in men than in women, and cardiovascular disease was more prevalent in men. Cumulative incidence increased markedly after the age of 50 years in men and after 60 years in women. The lifetime risk was similar (>30%) for both sexes. Subjects with incident AF had a 3.5-fold risk of death in comparison with those without AF. Multivariable-adjusted models showed sex differences for the association of body mass index and AF (hazard ratio per standard deviation increase, 1.18; 95% confidence interval [CI], 1.12-1.23 in women versus 1.31; 95% CI 1.25-1.38 in men; interaction P value of 0.001). Total cholesterol was inversely associated with incident AF with a greater risk reduction in women (hazard ratio per SD, 0.86; 95% CI, 0.81-0.90 versus 0.92; 95% CI, 0.88-0.97 in men; interaction P value of 0.023). No sex differences were seen for C-reactive protein and N-terminal pro B-type natriuretic peptide. The population-attributable risk of all risk factors combined was 41.9% in women and 46.0% in men. About 20% of the risk was observed for body mass index.
CONCLUSIONS: Lifetime risk of AF was high, and AF was strongly associated with increased mortality both in women and men. Body mass index explained the largest proportion of AF risk. Observed sex differences in the association of body mass index and total cholesterol with AF need to be evaluated for underlying pathophysiology and relevance to sex-specific prevention strategies.
© 2017 American Heart Association, Inc.

Entities:  

Keywords:  atrial fibrillation; biomarkers; cohort studies; epidemiology; mortality; risk assessment; sex

Mesh:

Substances:

Year:  2017        PMID: 29038167      PMCID: PMC5657474          DOI: 10.1161/CIRCULATIONAHA.117.028981

Source DB:  PubMed          Journal:  Circulation        ISSN: 0009-7322            Impact factor:   29.690


  50 in total

1.  Incidence of Atrial Fibrillation and Relationship With Cardiovascular Events, Heart Failure, and Mortality: A Community-Based Study From the Netherlands.

Authors:  Rob A Vermond; Bastiaan Geelhoed; Niek Verweij; Robert G Tieleman; Pim Van der Harst; Hans L Hillege; Wiek H Van Gilst; Isabelle C Van Gelder; Michiel Rienstra
Journal:  J Am Coll Cardiol       Date:  2015-09-01       Impact factor: 24.094

2.  Incidence and epidemiology of new onset heart failure with preserved vs. reduced ejection fraction in a community-based cohort: 11-year follow-up of PREVEND.

Authors:  Frank P Brouwers; Rudolf A de Boer; Pim van der Harst; Adriaan A Voors; Ron T Gansevoort; Stephan J Bakker; Hans L Hillege; Dirk J van Veldhuisen; Wiek H van Gilst
Journal:  Eur Heart J       Date:  2013-03-06       Impact factor: 29.983

Review 3.  Total cholesterol as a risk factor for coronary heart disease and stroke in women compared with men: A systematic review and meta-analysis.

Authors:  Sanne A E Peters; Yankuba Singhateh; Diana Mackay; Rachel R Huxley; Mark Woodward
Journal:  Atherosclerosis       Date:  2016-03-15       Impact factor: 5.162

4.  Overweight and obesity as risk factors for atrial fibrillation or flutter: the Danish Diet, Cancer, and Health Study.

Authors:  Lars Frost; Lone Juul Hune; Peter Vestergaard
Journal:  Am J Med       Date:  2005-05       Impact factor: 4.965

5.  Blood lipid levels, lipid-lowering medications, and the incidence of atrial fibrillation: the atherosclerosis risk in communities study.

Authors:  Faye L Lopez; Sunil K Agarwal; Richard F Maclehose; Elsayed Z Soliman; A Richey Sharrett; Rachel R Huxley; Suma Konety; Christie M Ballantyne; Alvaro Alonso
Journal:  Circ Arrhythm Electrophysiol       Date:  2012-01-06

6.  Associations of obesity and body fat distribution with incident atrial fibrillation in the biracial health aging and body composition cohort of older adults.

Authors:  Konstantinos N Aronis; Na Wang; Caroline L Phillips; Emelia J Benjamin; Gregory M Marcus; Anne B Newman; Nicolas Rodondi; Suzanne Satterfield; Tamara B Harris; Jared W Magnani
Journal:  Am Heart J       Date:  2015-06-14       Impact factor: 4.749

7.  Atrial fibrillation and obesity--results of a meta-analysis.

Authors:  Nikolas Wanahita; Franz H Messerli; Sripal Bangalore; Apoor S Gami; Virend K Somers; Jonathan S Steinberg
Journal:  Am Heart J       Date:  2007-12-19       Impact factor: 4.749

8.  Impact of obesity on plasma natriuretic peptide levels.

Authors:  Thomas J Wang; Martin G Larson; Daniel Levy; Emelia J Benjamin; Eric P Leip; Peter W F Wilson; Ramachandran S Vasan
Journal:  Circulation       Date:  2004-02-10       Impact factor: 29.690

9.  Atrial fibrillation: its prevalence and risk factor profile in the German general population.

Authors:  Renate B Schnabel; Sandra Wilde; Philipp S Wild; Thomas Munzel; Stefan Blankenberg
Journal:  Dtsch Arztebl Int       Date:  2012-04-20       Impact factor: 5.594

10.  Simple risk model predicts incidence of atrial fibrillation in a racially and geographically diverse population: the CHARGE-AF consortium.

Authors:  Alvaro Alonso; Bouwe P Krijthe; Thor Aspelund; Katherine A Stepas; Michael J Pencina; Carlee B Moser; Moritz F Sinner; Nona Sotoodehnia; João D Fontes; A Cecile J W Janssens; Richard A Kronmal; Jared W Magnani; Jacqueline C Witteman; Alanna M Chamberlain; Steven A Lubitz; Renate B Schnabel; Sunil K Agarwal; David D McManus; Patrick T Ellinor; Martin G Larson; Gregory L Burke; Lenore J Launer; Albert Hofman; Daniel Levy; John S Gottdiener; Stefan Kääb; David Couper; Tamara B Harris; Elsayed Z Soliman; Bruno H C Stricker; Vilmundur Gudnason; Susan R Heckbert; Emelia J Benjamin
Journal:  J Am Heart Assoc       Date:  2013-03-18       Impact factor: 5.501

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  86 in total

Review 1.  Genetics of Atrial Fibrillation in 2020: GWAS, Genome Sequencing, Polygenic Risk, and Beyond.

Authors:  Carolina Roselli; Michiel Rienstra; Patrick T Ellinor
Journal:  Circ Res       Date:  2020-06-18       Impact factor: 17.367

Review 2.  Clinical scores used for the prediction of negative events in patients undergoing catheter ablation for atrial fibrillation.

Authors:  Falco Kosich; Katja Schumacher; Tatjana Potpara; Gregory Y Lip; Gerhard Hindricks; Jelena Kornej
Journal:  Clin Cardiol       Date:  2019-01-14       Impact factor: 2.882

3.  Identification of paroxysmal atrial fibrillation subtypes in over 13,000 individuals.

Authors:  Nathan E Wineinger; Paddy M Barrett; Yunyue Zhang; Ikram Irfanullah; Evan D Muse; Steven R Steinhubl; Eric J Topol
Journal:  Heart Rhythm       Date:  2018-08-14       Impact factor: 6.343

Review 4.  Effects of Estrogen in Gender-dependent Fetal Programming of Adult Cardiovascular Dysfunction.

Authors:  Zewen Chen; Lei Wang; Jun Ke; Daliao Xiao
Journal:  Curr Vasc Pharmacol       Date:  2019       Impact factor: 2.719

5.  Association of Body Mass Index With Intracardiac Left Atrial Voltage in Patients With Atrial Fibrillation.

Authors:  M Benjamin Shoemaker; Jonathan Chrispin; Maureen Farrell; Shi Huang; Jay Montgomery; David Spragg; Joseph E Marine; Christopher R Ellis; Hugh Calkins; Saman Nazarian
Journal:  JACC Clin Electrophysiol       Date:  2018-06-06

6.  Body mass index and peripheral artery disease.

Authors:  Sean P Heffron; Aeshita Dwivedi; Caron B Rockman; Yuhe Xia; Yu Guo; Judy Zhong; Jeffrey S Berger
Journal:  Atherosclerosis       Date:  2019-11-04       Impact factor: 5.162

7.  CHA2DS2-VASc score predicts 30-day readmission due to thromboembolic complications following cardioversion of atrial fibrillation: insights from US National Readmissions Database.

Authors:  Benjamin Buck; Toshimasa Okabe; Avirup Guha; Emile Daoud
Journal:  J Interv Card Electrophysiol       Date:  2019-07-22       Impact factor: 1.900

Review 8.  Sex Differences in Atrial Fibrillation-Update on Risk Assessment, Treatment, and Long-Term Risk.

Authors:  Charlotte J Bai; Nidhi Madan; Shaza Alshahrani; Neelum T Aggarwal; Annabelle Santos Volgman
Journal:  Curr Treat Options Cardiovasc Med       Date:  2018-08-27

9.  Novel Risk Modeling Approach of Atrial Fibrillation With Restricted Mean Survival Times: Application in the Framingham Heart Study Community-Based Cohort.

Authors:  Laila Staerk; Sarah R Preis; Honghuang Lin; Juan P Casas; Kathryn Lunetta; Lu-Chen Weng; Christopher D Anderson; Patrick T Ellinor; Steven A Lubitz; Emelia J Benjamin; Ludovic Trinquart
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2020-03-31

10.  Protein Biomarkers and Risk of Atrial Fibrillation: The FHS.

Authors:  Laila Staerk; Sarah R Preis; Honghuang Lin; Steven A Lubitz; Patrick T Ellinor; Daniel Levy; Emelia J Benjamin; Ludovic Trinquart
Journal:  Circ Arrhythm Electrophysiol       Date:  2020-01-15
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