Literature DB >> 9809895

Prevalence, incidence, prognosis, and predisposing conditions for atrial fibrillation: population-based estimates.

W B Kannel1, P A Wolf, E J Benjamin, D Levy.   

Abstract

Atrial fibrillation (AF) is the most common of the serious cardiac rhythm disturbances and is responsible for substantial morbidity and mortality in the general population. Its prevalence doubles with each advancing decade of age, from 0.5% at age 50-59 years to almost 9% at age 80-89 years. It is also becoming more prevalent, increasing in men aged 65-84 years from 3.2% in 1968-1970 to 9.1% in 1987-1989. This statistically significant increase in men was not explained by an increase in age, valve disease, or myocardial infarctions in the cohort. The incidence of new onset of AF also doubled with each decade of age, independent of the increasing prevalence of known predisposing conditions. Based on 38-year follow-up data from the Framingham Study, men had a 1.5-fold greater risk of developing AF than women after adjustment for age and predisposing conditions. Of the cardiovascular risk factors, only hypertension and diabetes were significant independent predictors of AF, adjusting for age and other predisposing conditions. Cigarette smoking was a significant risk factor in women adjusting only for age (OR = 1.4), but was just short of significance on adjustment for other risk factors. Neither obesity nor alcohol intake was associated with AF incidence in either sex. For men and women, respectively, diabetes conferred a 1.4- and 1.6-fold risk, and hypertension a 1.5- and 1.4-fold risk, after adjusting for other associated conditions. Because of its high prevalence in the population, hypertension was responsible for more AF in the population (14%) than any other risk factor. Intrinsic overt cardiac conditions imposed a substantially higher risk. Adjusting for other relevant conditions, heart failure was associated with a 4.5- and 5.9-fold risk, and valvular heart disease a 1.8- and 3.4-fold risk for AF in men and women, respectively. Myocardial infarction significantly increased the risk factor-adjusted likelihood of AF by 40% in men only. Echocardiographic predictors of nonrheumatic AF include left atrial enlargement (39%/ increase in risk per 5-mm increment), left ventricular fractional shortening (34% per 5% decrement), and left ventricular wall thickness (28% per 4-mm increment). These echocardiographic features offer prognostic information for AF beyond the traditional clinical risk factors. Electrocardiographic left ventricular hypertrophy increased risk of AF 3-4-fold after adjusting only for age, but this risk ratio is decreased to 1.4 after adjustment for the other associated conditions. The chief hazard of AF is stroke, the risk of which is increased 4-5-fold. Because of its high prevalence in advanced age, AF assumes great importance as a risk factor for stroke and by the ninth decade becomes a dominant factor. The attributable risk for stroke associated with AF increases steeply from 1.5% at age 50-59 years to 23.5% at age 80-89 years. AF is associated with a doubling of mortality in both sexes, which is decreased to 1.5-1.9-fold after adjusting for associated cardiovascular conditions. Decreased survival associated with AF occurs across a wide range of ages.

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Year:  1998        PMID: 9809895     DOI: 10.1016/s0002-9149(98)00583-9

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  494 in total

1.  Usefulness of electrocardiographic parameters as compared with computed tomography measures of left atrial volume enlargement: from the ROMICAT trial.

Authors:  Quynh A Truong; Elizabeth M Charipar; Leon M Ptaszek; Carolyn Taylor; Joao D Fontes; Matthias Kriegel; Thomas Irlbeck; Amir A Mahabadi; Ron Blankstein; Udo Hoffmann
Journal:  J Electrocardiol       Date:  2010-05-27       Impact factor: 1.438

Review 2.  Atrial fibrillation (chronic).

Authors:  Deirdre A Lane; Stavros Apostolakis; Christopher J Boos; Gregory Y H Lip
Journal:  BMJ Clin Evid       Date:  2011-11-10

Review 3.  Trials of pacing to control ventricular rate during atrial fibrillation.

Authors:  Mark A Wood
Journal:  J Interv Card Electrophysiol       Date:  2004       Impact factor: 1.900

4.  Incident Atrial Fibrillation and the Risk of Stroke in Adults with Chronic Kidney Disease: The Stockholm CREAtinine Measurements (SCREAM) Project.

Authors:  Juan Jesus Carrero; Marco Trevisan; Manish M Sood; Peter Bárány; Hong Xu; Marie Evans; Leif Friberg; Karolina Szummer
Journal:  Clin J Am Soc Nephrol       Date:  2018-07-20       Impact factor: 8.237

5.  Genetic mutations in African patients with atrial fibrillation: Rationale and design of the Study of Genetics of Atrial Fibrillation in an African Population (SIGNAL).

Authors:  Gerald S Bloomfield; Tecla M Temu; Constantine O Akwanalo; Peng-Sheng Chen; Wilfred Emonyi; Susan R Heckbert; Myra M Koech; Imran Manji; Changyu Shen; Matteo Vatta; Eric J Velazquez; Jennifer Wessel; Sylvester Kimaiyo; Thomas S Inui
Journal:  Am Heart J       Date:  2015-06-14       Impact factor: 4.749

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.  Age-related atrial fibrosis.

Authors:  Felix Gramley; Johann Lorenzen; Christian Knackstedt; Obaida R Rana; Erol Saygili; Dirk Frechen; Sven Stanzel; Francesco Pezzella; Eva Koellensperger; Christian Weiss; Thomas Münzel; Patrick Schauerte
Journal:  Age (Dordr)       Date:  2008-10-07

Review 8.  Developing a Conversation Aid to Support Shared Decision Making: Reflections on Designing Anticoagulation Choice.

Authors:  Claudia L Zeballos-Palacios; Ian G Hargraves; Peter A Noseworthy; Megan E Branda; Marleen Kunneman; Bruce Burnett; Michael R Gionfriddo; Christopher J McLeod; Haeshik Gorr; Juan Pablo Brito; Victor M Montori
Journal:  Mayo Clin Proc       Date:  2019-01-11       Impact factor: 7.616

9.  Does impaired left ventricular relaxation affect P wave dispersion in patients with hypertension?

Authors:  Abdullah Dogan; Mehmet Ozaydin; Cem Nazli; Ahmet Altinbas; Omer Gedikli; Ozan Kinay; Oktay Ergene
Journal:  Ann Noninvasive Electrocardiol       Date:  2003-07       Impact factor: 1.468

10.  Sexual dimorphism in rat aortic endothelial function of streptozotocin-induced diabetes: possible involvement of superoxide and nitric oxide production.

Authors:  Xiaoyuan Han; Rui Zhang; Leigh Anderson; Roshanak Rahimian
Journal:  Eur J Pharmacol       Date:  2013-11-06       Impact factor: 4.432

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