Norby Faye L, Soliman Elsayed Z, Chen Lin Y, Bengtson Lindsay G S, Loehr Laura R, Agarwal Sunil K, Alonso Alvaro
From Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis (F.L.N.); Epidemiological Cardiology Research Center, Department of Epidemiology, and Department of Internal Medicine-Cardiology, Wake Forest School of Medicine, Winston-Salem, NC (E.Z.S.); Cardiac Arrhythmia Center, Cardiovascular Division, Department of Medicine, University of Minnesota Medical School, Minneapolis (L.Y.C.); Health Economics and Outcomes Research, Life Sciences, Optum, Eden Prairie, MN (L.G.S.B.); Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill (L.R.L.); Icahn School of Medicine, Mount Sinai Heart Center, New York, NY (S.K.A.); and Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA (A.A.).
Circulation. 2016 Aug 23;134(8):599-610. doi: 10.1161/CIRCULATIONAHA.115.020090.
Timing and trajectories of cardiovascular risk factor (CVRF) development in relation to atrial fibrillation (AF) have not been described previously. We assessed trajectories of CVRF and incidence of AF over 25 years in the ARIC study (Atherosclerosis Risk in Communities).
We assessed trajectories of CVRF in 2456 individuals with incident AF and 6414 matched control subjects. Subsequently, we determined the association of CVRF trajectories with the incidence of AF among 10 559 AF-free individuals (mean age, 67 years; 52% men; 20% blacks). Risk factors were measured during 5 examinations between 1987 and 2013. Cardiovascular events, including incident AF, were ascertained continuously. We modeled the prevalence of risk factors and cardiovascular outcomes in the period before and after AF diagnosis and the corresponding index date for control subjects using generalized estimating equations. Trajectories in risk factors were identified with latent mixture modeling. The risk of incident AF by trajectory group was examined with Cox models.
The prevalence of stroke, myocardial infarction, and heart failure increased steeply during the time close to AF diagnosis. All CVRFs were elevated in AF cases compared with controls >15 years before diagnosis. We identified distinct trajectories for all the assessed CVRFs. In general, individuals with trajectories denoting long-term exposure to CVRFs had increased AF risk even after adjustment for single measurements of the CVRFs.
AF patients have increased prevalence of CVRF many years before disease diagnosis. This analysis identified diverse trajectories in the prevalence of these risk factors, highlighting their different roles in AF pathogenesis.
心血管危险因素(CVRF)发展与心房颤动(AF)相关的时间和轨迹此前尚未被描述。我们在社区动脉粥样硬化风险(ARIC)研究中评估了25年间CVRF的轨迹和AF的发生率。
我们评估了2456例新发AF患者和6414例匹配对照者的CVRF轨迹。随后,我们在10559例无AF个体(平均年龄67岁;52%为男性;20%为黑人)中确定了CVRF轨迹与AF发生率之间的关联。在1987年至2013年的5次检查期间测量危险因素。持续确定包括新发AF在内的心血管事件。我们使用广义估计方程对AF诊断前后以及对照者相应索引日期期间危险因素的患病率和心血管结局进行建模。通过潜在混合模型识别危险因素的轨迹。用Cox模型检查各轨迹组新发AF的风险。
在接近AF诊断时,中风、心肌梗死和心力衰竭的患病率急剧上升。与诊断前>15年的对照者相比,AF患者的所有CVRF均升高。我们为所有评估的CVRF确定了不同的轨迹。一般来说,即使在对CVRF进行单次测量校正后,具有表示长期暴露于CVRF轨迹的个体AF风险仍增加。
AF患者在疾病诊断前多年CVRF患病率就已升高。该分析确定了这些危险因素患病率的不同轨迹,突出了它们在AF发病机制中的不同作用。