O'Neal Wesley T, Kamel Hooman, Judd Suzanne E, Safford Monika M, Vaccarino Viola, Howard Virginia J, Howard George, Soliman Elsayed Z
Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, Georgia.
Department of Neurology, Weill Cornell Medical College, New York, New York.
Am J Cardiol. 2017 Sep 1;120(5):782-785. doi: 10.1016/j.amjcard.2017.06.007. Epub 2017 Jun 15.
Atrial premature complexes (APCs) serve as acute triggers for atrial fibrillation (AF), but it is currently unknown whether the association between APCs and AF varies by race or sex. We examined the association between APCs and AF in 13,840 (mean age = 63 ± 8.4 years; 56% women; 37% black) participants from the REasons for Geographic And Racial Differences in Stroke study. APCs were detected on baseline electrocardiograms (2003 to 2007). Incident AF was identified by study-scheduled electrocardiograms and self-reported history at a follow-up examination. Logistic regression was used to compute odds ratios (OR) and 95% confidence intervals for the association between APCs and incident AF. A total of 950 participants (6.9%) had APCs at the baseline visit. After a median follow-up of 9.4 years, 1015 incident AF cases (7.3%) were detected. APCs were associated with an increased risk of AF (odds ratios = 1.92, 95% confidence intervals = 1.57, 2.35). The relation between APCs and AF did not vary by race (interaction p value = 0.56) or sex (interaction p value = 0.66). In conclusion, APCs detected on a routine electrocardiogram are associated with an increased risk of AF development, and this association does not vary by race or sex. The findings of this analysis suggest that the risk of AF associated with atrial ectopy does not account for the differential risk of AF that is observed in whites compared with blacks, and in men compared with women.
房性早搏(APCs)是心房颤动(AF)的急性触发因素,但目前尚不清楚APCs与AF之间的关联是否因种族或性别而异。我们在来自“中风地理和种族差异原因”研究的13840名参与者中(平均年龄 = 63 ± 8.4岁;56%为女性;37%为黑人)研究了APCs与AF之间的关联。在基线心电图(2003年至2007年)上检测到APCs。通过研究安排的心电图和随访检查时的自我报告病史来确定新发AF。使用逻辑回归计算APCs与新发AF之间关联的比值比(OR)和95%置信区间。共有950名参与者(6.9%)在基线访视时存在APCs。中位随访9.4年后,检测到1015例新发AF病例(7.3%)。APCs与AF风险增加相关(比值比 = 1.92,95%置信区间 = 1.57,2.35)。APCs与AF之间的关系不因种族(交互作用p值 = 0.56)或性别(交互作用p值 = 0.66)而有所不同。总之,在常规心电图上检测到的APCs与AF发生风险增加相关,且这种关联不因种族或性别而有所不同。该分析结果表明,与心房异位相关的AF风险并不能解释在白人与黑人、男性与女性中观察到的AF风险差异。