Magnani Jared W, Zhu Lei, Lopez Faye, Pencina Michael J, Agarwal Sunil K, Soliman Elsayed Z, Benjamin Emelia J, Alonso Alvaro
Section of Cardiovascular Medicine, Boston University School of Medicine, Boston, MA; National Heart Lung and Blood Institute's Framingham Heart Study, Framingham, MA.
Department of Mathematics and Statistics, Boston University, Boston, MA.
Am Heart J. 2015 Jan;169(1):53-61.e1. doi: 10.1016/j.ahj.2014.10.009. Epub 2014 Oct 22.
Atrial fibrillation (AF) is associated with increased morbidity. P-wave indices (PWIs) measure atrial electrical function and are associated with AF. Study of PWI has been limited to single-cohort investigations, and their contributions to risk enhancement are unknown.
We examined PWI from the FHS and ARIC study. We calculated 10-year AF risk using adjusted Cox models. We conducted cross-cohort meta-analyses for the PWI estimates and assessed their contributions to risk discrimination (c statistic), net reclassification index, and integrated discrimination improvement.
After exclusions, the analysis included 3,110 FHS (62.6 ± 9.8 years, 56.9% women) and 8,254 ARIC participants (62.3 ± 5.6 years, 57.3% women, 20.3% black race). Over 10 years, 217 FHS and 458 ARIC participants developed AF. In meta-analysis, P-wave duration >120 milliseconds was significantly associated with AF (hazard ratio 1.55, 95% CI 1.29-1.85) compared with ≤120 milliseconds. P-wave area was marginally but not significantly related to AF (hazard ratio 1.31, 95% CI 0.95-1.80). P-wave terminal force was strongly associated with AF in ARIC but not FHS. P-wave indices had a limited contribution toward predictive risk beyond traditional risk factors and markers.
P-wave indices are intermediate phenotypes for AF. They are associated with AF in cross-cohort meta-analyses but contribute minimally toward enhancing risk prediction.
心房颤动(AF)与发病率增加相关。P波指数(PWIs)可衡量心房电功能,且与AF有关。对PWI的研究仅限于单队列调查,其对风险增强的作用尚不清楚。
我们检查了弗雷明汉心脏研究(FHS)和社区动脉粥样硬化风险研究(ARIC)中的PWI。我们使用校正后的Cox模型计算10年AF风险。我们对PWI估计值进行了跨队列荟萃分析,并评估了它们对风险辨别(c统计量)、净重新分类指数和综合辨别改善的贡献。
排除后,分析纳入了3110名FHS参与者(年龄62.6±9.8岁,女性占56.9%)和8254名ARIC参与者(年龄62.3±5.6岁,女性占57.3%,黑人占20.3%)。在10年期间,217名FHS参与者和458名ARIC参与者发生了AF。在荟萃分析中,与≤120毫秒相比,P波时限>120毫秒与AF显著相关(风险比1.55,95%置信区间1.29-1.85)。P波面积与AF有边缘相关性但不显著(风险比1.31,95%置信区间0.95-1.80)。P波终末电势在ARIC中与AF密切相关,但在FHS中并非如此。除传统风险因素和标志物外,P波指数对预测风险的贡献有限。
P波指数是AF的中间表型。它们在跨队列荟萃分析中与AF相关,但对增强风险预测的贡献极小。