Absolute and attributable risks of atrial fibrillation in relation to optimal and borderline risk factors: the Atherosclerosis Risk in Communities (ARIC) study.
Absolute and attributable risks of atrial fibrillation in relation to optimal and borderline risk factors: the Atherosclerosis Risk in Communities (ARIC) study.
复制标题
DOI:
10.1161/circulationaha.110.009035
复制
发表时间:
2011-04-12
期刊:
影响因子:
37.8
通讯作者:
Alonso A
中科院分区:
文献类型:
--
作者:
Huxley RR;Lopez FL;Folsom AR;Agarwal SK;Loehr LR;Soliman EZ;Maclehose R;Konety S;Alonso A
Atrial fibrillation (AF) is an important risk factor for stroke and overall mortality but information about the preventable burden of AF is lacking. The aim of this study was to determine what proportion of the burden of AF in African-Americans and whites could theoretically be avoided by the maintenance of an optimal risk profile. This study included 14,598 middle-aged, Atherosclerosis Risk in Communities Study cohort members. Previously established AF risk factors, namely high blood pressure, elevated body mass index, diabetes, cigarette smoking and prior cardiac disease were categorized into ‘optimal’, ‘borderline’ and ‘elevated’ levels. Based on their risk factor levels, individuals were classified into one of these three groups. The population attributable fraction of AF due to having a non-optimal risk profile was estimated separately for African-American and white men and women. During a mean follow-up of 17.1 years, 1520 cases of incident AF were identified. The age-adjusted incidence rates were highest in white men and lowest in African-American women (7.45 and 3.67 per 1000 person-years, respectively). The overall prevalence of an optimal risk profile was 5.4% but this varied according to race and gender: 10% in white women versus 1.6% in African-American men. Overall, 56.5% of AF cases could be explained by having ≥ 1 elevated risk factors, of which elevated blood pressure was the most important contributor. As with other forms of cardiovascular disease, more than half of the AF burden is potentially avoidable through the optimization of cardiovascular risk factors levels.