BACKGROUND: The epidemiology of atrial fibrillation (AF) has been mainly investigated in patients with end-stage renal disease, with limited data on less advanced chronic kidney disease (CKD) stages. METHODS: A total of 3,267 adult participants (50% non-Hispanic blacks, 46% women) with CKD from the Chronic Renal Insufficiency Cohort were included in this study. None of the study participants had been on dialysis. Those with self-identified race/ethnicity other than non-Hispanic black or white (n = 323) or those without electrocardiographic data (n = 22) were excluded. Atrial fibrillation was ascertained by a 12-lead electrocardiogram and self-report. Age-, sex-, and race/ethnicity-specific prevalence rates of AF were estimated and compared between subgroups. Cross-sectional associations and correlates with prevalent AF were examined using unadjusted and multivariable-adjusted logistic regression analysis. RESULTS: The mean estimated glomerular filtration rate was 43.6 (+/-13.0) mL/(min 1.73 m(2)). Atrial fibrillation was present in 18% of the study population and in >25% of those > or =70 years old. In multivariable-adjusted models, 1-SD increase in age (11 years) (odds ratio 1.27, CI 95% 1.13-1.43, P < .0001), male [corrected] sex (0.80, 0.65-0.98, P = .0303), smoking (former vs never) (1.34, 1.08-1.66, P = .0081), history of heart failure (3.28, 2.47-4.36, P < .001), and history of cardiovascular disease (1.94, 1.56-2.43, P < .0001) were significantly associated with AF. Race/ethnicity, hypertension, diabetes, body mass index, physical activity, education, high-sensitivity C-reactive protein, total cholesterol, and alcohol intake were not significantly associated with AF. An estimated glomerular filtration rate <45 mL/(min 1.73 m(2)) was associated with AF in an unadjusted model (1.35, 1.13-1.62, P = .0010), but not after multivariable adjustment (1.12, 0.92-1.35, P = .2710). CONCLUSIONS: Nearly 1 in 5 participants in Chronic Renal Insufficiency Cohort, a national study of CKD, had evidence of AF at study entry, a prevalence similar to that reported among patients with end-stage renal disease and 2 to 3 times of that reported in the general population. Risk factors for AF in this CKD population do not mirror those reported in the general population. Copyright 2010 Mosby, Inc. All rights reserved.
BACKGROUND: The epidemiology of atrial fibrillation (AF) has been mainly investigated in patients with end-stage renal disease, with limited data on less advanced chronic kidney disease (CKD) stages. METHODS: A total of 3,267 adult participants (50% non-Hispanic blacks, 46% women) with CKD from the Chronic Renal Insufficiency Cohort were included in this study. None of the study participants had been on dialysis. Those with self-identified race/ethnicity other than non-Hispanic black or white (n = 323) or those without electrocardiographic data (n = 22) were excluded. Atrial fibrillation was ascertained by a 12-lead electrocardiogram and self-report. Age-, sex-, and race/ethnicity-specific prevalence rates of AF were estimated and compared between subgroups. Cross-sectional associations and correlates with prevalent AF were examined using unadjusted and multivariable-adjusted logistic regression analysis. RESULTS: The mean estimated glomerular filtration rate was 43.6 (+/-13.0) mL/(min 1.73 m(2)). Atrial fibrillation was present in 18% of the study population and in >25% of those > or =70 years old. In multivariable-adjusted models, 1-SD increase in age (11 years) (odds ratio 1.27, CI 95% 1.13-1.43, P < .0001), male [corrected] sex (0.80, 0.65-0.98, P = .0303), smoking (former vs never) (1.34, 1.08-1.66, P = .0081), history of heart failure (3.28, 2.47-4.36, P < .001), and history of cardiovascular disease (1.94, 1.56-2.43, P < .0001) were significantly associated with AF. Race/ethnicity, hypertension, diabetes, body mass index, physical activity, education, high-sensitivity C-reactive protein, total cholesterol, and alcohol intake were not significantly associated with AF. An estimated glomerular filtration rate <45 mL/(min 1.73 m(2)) was associated with AF in an unadjusted model (1.35, 1.13-1.62, P = .0010), but not after multivariable adjustment (1.12, 0.92-1.35, P = .2710). CONCLUSIONS: Nearly 1 in 5 participants in Chronic Renal Insufficiency Cohort, a national study of CKD, had evidence of AF at study entry, a prevalence similar to that reported among patients with end-stage renal disease and 2 to 3 times of that reported in the general population. Risk factors for AF in this CKD population do not mirror those reported in the general population. Copyright 2010 Mosby, Inc. All rights reserved.
Authors: B E Ainsworth; W L Haskell; M C Whitt; M L Irwin; A M Swartz; S J Strath; W L O'Brien; D R Bassett; K H Schmitz; P O Emplaincourt; D R Jacobs; A S Leon Journal: Med Sci Sports Exerc Date: 2000-09 Impact factor: 5.411
Authors: F Fabbian; C Catalano; D Lambertini; G Tarroni; V Bordin; R Squerzanti; P Gilli; D Di Landro; R Cavagna Journal: Clin Nephrol Date: 2000-09 Impact factor: 0.975
Authors: E Vázquez; C Sánchez-Perales; F Borrego; M J Garcia-Cortés; C Lozano; M Guzmán; J M Gil; M J Borrego; V Pérez Journal: Am Heart J Date: 2000-12 Impact factor: 4.749
Authors: A Levin; O Djurdjev; B Barrett; E Burgess; E Carlisle; J Ethier; K Jindal; D Mendelssohn; S Tobe; J Singer; C Thompson Journal: Am J Kidney Dis Date: 2001-12 Impact factor: 8.860
Authors: L Julian Haywood; Charles E Ford; Richard S Crow; Barry R Davis; Barry M Massie; Paula T Einhorn; Angela Williard Journal: J Am Coll Cardiol Date: 2009-11-24 Impact factor: 24.094
Authors: Rupal Mehta; Xuan Cai; Jungwha Lee; Julia J Scialla; Nisha Bansal; James H Sondheimer; Jing Chen; L Lee Hamm; Ana C Ricardo; Sankar D Navaneethan; Rajat Deo; Mahboob Rahman; Harold I Feldman; Alan S Go; Tamara Isakova; Myles Wolf Journal: JAMA Cardiol Date: 2016-08-01 Impact factor: 14.676
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
Authors: Benjamin A Goldstein; Cristina M Arce; Mark A Hlatky; Mintu Turakhia; Soko Setoguchi; Wolfgang C Winkelmayer Journal: Circulation Date: 2012-10-02 Impact factor: 29.690