Patel Nikhil, O'Neal Wesley T, Whalen S Patrick, Soliman Elsayed Z
Section of Cardiology, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA.
Ann Noninvasive Electrocardiol. 2017 May;22(3):1-5. doi: 10.1111/anec.12419. Epub 2016 Dec 25.
Although left ventricular hypertrophy (LVH) detected by electrocardiography (ECG-LVH) and echocardiography (echo-LVH) independently predict cardiovascular disease events, it is unclear if ECG-LVH and echo-LVH independently predict atrial fibrillation (AF).
This analysis included 4,904 participants (40% male; 85% white) from the Cardiovascular Health Study who were free of baseline AF and major intraventricular conduction delays. ECG-LVH was defined by Minnesota Code Classification from baseline ECG data. Echo-LVH was defined by sex-specific left ventricular mass values >95th sex-specific percentiles. Incident AF events were identified during the annual study ECGs and from hospitalization discharge data. Cox regression was used to compute hazard ratios (HR) and 95% confidence intervals (CI) for the association of ECG-LVH and echo-LVH with incident AF, separately.
ECG-LVH was detected in 224 (4.6%) participants and echo-LVH was present in 231 (4.7%) participants. Over a median follow-up of 11.9 years, a total of 1,430 AF events were detected. In a multivariable Cox model adjusted for age, sex, race, education, income, smoking, systolic blood pressure, diabetes, body mass index, total cholesterol, high-density lipoprotein cholesterol, aspirin, antihypertensive medications, and cardiovascular disease, ECG-LVH (HR = 1.50; 95% CI = 1.18, 1.90) and echo-LVH (HR = 1.39; 95% CI = 1.09, 1.78) were independently associated with AF. When ECG-LVH (HR = 1.47, 95% CI = 1.16, 1.87) and echo-LVH (HR = 1.36, 1.07, 1.75) were included in the same model, both were predictive of incident AF.
The association of ECG-LVH with AF is not dependent on left ventricular mass detected by echocardiography, suggesting that abnormalities in cardiac electrophysiology provide a distinct profile in the prediction of AF.
尽管通过心电图检测到的左心室肥厚(ECG-LVH)和通过超声心动图检测到的左心室肥厚(echo-LVH)可独立预测心血管疾病事件,但尚不清楚ECG-LVH和echo-LVH是否能独立预测心房颤动(AF)。
该分析纳入了心血管健康研究中的4904名参与者(40%为男性;85%为白人),这些参与者无基线AF和主要室内传导延迟。ECG-LVH根据基线心电图数据的明尼苏达编码分类来定义。echo-LVH根据特定性别左心室质量值高于第95特定性别百分位数来定义。在年度研究心电图和住院出院数据中识别出AF事件。分别使用Cox回归计算ECG-LVH和echo-LVH与AF事件关联的风险比(HR)和95%置信区间(CI)。
224名(4.6%)参与者检测到ECG-LVH,231名(4.7%)参与者存在echo-LVH。在中位随访11.9年期间,共检测到1430例AF事件。在调整了年龄、性别、种族、教育程度、收入、吸烟、收缩压、糖尿病、体重指数、总胆固醇、高密度脂蛋白胆固醇、阿司匹林、抗高血压药物和心血管疾病的多变量Cox模型中,ECG-LVH(HR = 1.50;95% CI = 1.18,1.90)和echo-LVH(HR = 1.39;95% CI = 1.09,1.78)与AF独立相关。当将ECG-LVH(HR = 1.47,95% CI = 1.16,1.87)和echo-LVH(HR = 1.36,1.07,1.75)纳入同一模型时,两者均能预测AF事件。
ECG-LVH与AF的关联不依赖于超声心动图检测到的左心室质量,这表明心脏电生理异常在AF预测中提供了独特的特征。