Literature DB >> 23756655

Risk factors for atrial fibrillation and their population burden in postmenopausal women: the Women's Health Initiative Observational Study.

Marco V Perez1, Paul J Wang, Joseph C Larson, Elsayed Z Soliman, Marian Limacher, Beatriz Rodriguez, Liviu Klein, Joann E Manson, Lisa W Martin, Ronald Prineas, Stephanie Connelly, Mark Hlatky, Sylvia Wassertheil-Smoller, Marcia L Stefanick.   

Abstract

OBJECTIVE: Atrial fibrillation (AF) is the most common arrhythmia in women. Large studies evaluating key AF risk factors in older women are lacking. We aimed to identify risk factors for AF in postmenopausal women and measure population burden of modifiable risk factors.
DESIGN: Prospective observational study.
SETTING: The Women's Health Initiative (WHI) Observational Study. PATIENTS: 93 676 postmenopausal women were followed for an average of 9.8 years for cardiovascular outcomes. After exclusion of women with prevalent AF or incomplete data, 8252 of the remaining 81 892 women developed incident AF. MAIN OUTCOME MEASURES: Incident AF was identified by WHI-ascertained hospitalisation records and diagnosis codes from Medicare claims. Multivariate Cox hazard regression analysis identified independent risk factors for incident AF.
RESULTS: Age, hypertension, obesity, diabetes, myocardial infarction and heart failure were independently associated with incident AF. Hypertension and overweight status accounted for 28.3% and 12.1%, respectively, of the population attributable risk. Hispanic and African-American participants had lower rates of incident AF (HR 0.58, 95% CI 0.47 to 0.70 and HR 0.59, 95% CI 0.53 to 0.65, respectively) than Caucasians.
CONCLUSIONS: Caucasian ethnicity, traditional cardiovascular risk factors and peripheral arterial disease were independently associated with higher rates of incident AF in postmenopausal women. Hypertension and overweight status accounted for a large proportion of population attributable risk. Measuring burden of modifiable AF risk factors in older women may help target interventions.

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Year:  2013        PMID: 23756655     DOI: 10.1136/heartjnl-2013-303798

Source DB:  PubMed          Journal:  Heart        ISSN: 1355-6037            Impact factor:   5.994


  32 in total

1.  Association between BNP levels and new-onset atrial fibrillation : A propensity score approach.

Authors:  Y Karabağ; I Rencuzogullari; M Çağdaş; S Karakoyun; M Yesin; M Uluganyan; M O Gürsoy; İnanç Artaç; Doğan İliş; Tayyar Gökdeniz; S Ç Efe; O Taşar; H I Tanboğa
Journal:  Herz       Date:  2017-07-13       Impact factor: 1.443

Review 2.  The Future of Arrhythmias and Electrophysiology.

Authors:  Christine M Albert; William G Stevenson
Journal:  Circulation       Date:  2016-06-21       Impact factor: 29.690

3.  Lean body mass and risk of incident atrial fibrillation in post-menopausal women.

Authors:  Farnaz Azarbal; Marcia L Stefanick; Themistocles L Assimes; JoAnn E Manson; Jennifer W Bea; Wenjun Li; Mark A Hlatky; Joseph C Larson; Erin S LeBlanc; Christine M Albert; Rami Nassir; Lisa W Martin; Marco V Perez
Journal:  Eur Heart J       Date:  2015-09-14       Impact factor: 29.983

4.  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

5.  Association of left atrial epicardial adipose tissue with electrogram bipolar voltage and fractionation: Electrophysiologic substrates for atrial fibrillation.

Authors:  Tarek Zghaib; Esra Gucuk Ipek; Sohail Zahid; Muhammad Adnan Balouch; Satish Misra; Hiroshi Ashikaga; Ronald D Berger; Joseph E Marine; David D Spragg; Stefan L Zimmerman; Vadim Zipunnikov; Natalia Trayanova; Hugh Calkins; Saman Nazarian
Journal:  Heart Rhythm       Date:  2016-08-19       Impact factor: 6.343

6.  Thiazolidinediones and Risk of Atrial Fibrillation Among Patients with Diabetes and Coronary Disease.

Authors:  Jannik Langtved Pallisgaard; Maria Mori Brooks; Bernard R Chaitman; Derek B Boothroyd; Marco Perez; Mark A Hlatky
Journal:  Am J Med       Date:  2018-03-23       Impact factor: 4.965

Review 7.  Risk Factor Management in Atrial Fibrillation.

Authors:  Axel Brandes; Marcelle D Smit; Bao Oanh Nguyen; Michiel Rienstra; Isabelle C Van Gelder
Journal:  Arrhythm Electrophysiol Rev       Date:  2018-06

8.  Association of Short Sleep Duration and Atrial Fibrillation.

Authors:  Michael V Genuardi; Rachel P Ogilvie; Aisha Rasool Saand; Rebecca S DeSensi; Melissa I Saul; Jared W Magnani; Sanjay R Patel
Journal:  Chest       Date:  2019-02-27       Impact factor: 9.410

9.  Differences by Race/Ethnicity in the Prevalence of Clinically Detected and Monitor-Detected Atrial Fibrillation: MESA.

Authors:  Susan R Heckbert; Thomas R Austin; Paul N Jensen; Lin Y Chen; Wendy S Post; James S Floyd; Elsayed Z Soliman; Richard A Kronmal; Bruce M Psaty
Journal:  Circ Arrhythm Electrophysiol       Date:  2020-01-14

10.  Genetic Obesity and the Risk of Atrial Fibrillation: Causal Estimates from Mendelian Randomization.

Authors:  Franco Giulianini; Bastiaan Geelhoed; Kathryn L Lunetta; Jeffrey R Misialek; Maartje N Niemeijer; Michiel Rienstra; Lynda M Rose; Albert V Smith; Neal A Chatterjee; Dan E Arking; Patrick T Ellinor; Jan Heeringa; Honghuang Lin; Steven A Lubitz; Elsayed Z Soliman; Niek Verweij; Alvaro Alonso; Emelia J Benjamin; Vilmundur Gudnason; Bruno H C Stricker; Pim Van Der Harst; Daniel I Chasman; Christine M Albert
Journal:  Circulation       Date:  2016-12-14       Impact factor: 29.690

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