The Determinants of the 13-Year Risk of Incident Atrial Fibrillation in a Russian Population Cohort of Middle and Elderly Age
JOURNAL OF PERSONALIZED MEDICINE(2022)
Abstract
Atrial fibrillation (AF) is the most common arrhythmia and a predictor of the complications of atherosclerotic cardiovascular diseases (ASCVDs), particularly thromboembolic events and the progression of heart failure. We analyzed the determinants of the 13-year risk of incident AF in a Russian population cohort of middle and elderly age. A random population sample (n = 9360, age 45-69 years) was examined at baseline in 2003-2005 and reexamined in 2006-2008 and 2015-2017 in Novosibirsk (the HAPIEE study). Incident AF was being registered during the average follow-up of 13 years. The final analysis included 3871 participants free from baseline AF and cardiovascular disease (CVD) who participated in all three data collections. In a multivariable-adjusted Cox regression model, the 13-year risk of AF was positively associated with the male sex (hazard ratio (HR) = 2.20; 95% confidence interval (CI) 1.26-3.87); age (HR = 1.10 per year; 95% CI 1.07-1.14); body mass index (BMI), (HR = 1.11 per unit; 95% CI 1.07-1.15); systolic blood pressure (SBP), (HR = 1.02 per 1 mmHg; 95% CI 1.01-1.02), and it was negatively associated with total cholesterol (TC), (HR = 0.79 per 1 mmol/L; 95% CI 0.66-0.94). In women, the risk of AF was more strongly associated with hypertension (HT) and was also negatively related to total cholesterol (TC) level (HR = 0.74 per 1 mmol/L; 95% CI 0.56-0.96). No independent association was found with mean alcohol intake per drinking occasion. These results in a Russian cohort have an implication for the prediction of AF and ASCVD complications in the general population.
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Key words
HAPIEE study,atrial fibrillation,atherosclerosis,arterial hypertension,obesity,diabetes mellitus,aging,determinants,prevalence,Russian population cohort,Cox regression analysis
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