New England Research Institutes, Watertown, Massachusetts, USA.
J Am Coll Cardiol. 2010 Jan 26;55(4):350-6. doi: 10.1016/j.jacc.2009.08.058.
This study was designed to determine whether erectile dysfunction (ED) predicts cardiovascular disease (CVD) beyond traditional risk factors.
Both ED and CVD share pathophysiological mechanisms and often co-occur. It is unknown whether ED improves the prediction of CVD beyond traditional risk factors.
This was a prospective, population-based study of 1,709 men (of 3,258 eligible) age 40 to 70 years. The ED data were measured by self-report. Subjects were followed for CVD for an average follow-up of 11.7 years. The association between ED and CVD was examined using the Cox proportional hazards regression model. The discriminatory capability of ED was examined using C statistics. The reclassification of CVD risk associated with ED was assessed using a method that quantifies net reclassification improvement.
Of the prospective population, 1,057 men with complete risk factor data who were free of CVD and diabetes at baseline were included. During follow-up, 261 new cases of CVD occurred. We found ED was associated with CVD incidence controlling for age (hazard ratio [HR]: 1.42, 95% confidence interval [CI]: 1.05 to 1.90), age and traditional CVD risk factors (HR: 1.41, 95% CI: 1.05 to 1.90), as well as age and Framingham risk score (HR: 1.40, 95% CI: 1.04 to 1.88). Despite these significant findings, ED did not significantly improve the prediction of CVD incidence beyond traditional risk factors.
Independent of established CVD risk factors, ED is significantly associated with increased CVD incidence. Nonetheless, ED does not improve the prediction of who will and will not develop CVD beyond that offered by traditional risk factors.
本研究旨在确定勃起功能障碍(ED)是否能预测心血管疾病(CVD),超越传统危险因素。
ED 和 CVD 具有共同的病理生理机制,且常同时发生。目前尚不清楚 ED 是否能改善超越传统危险因素的 CVD 预测。
这是一项前瞻性、基于人群的研究,共纳入 1709 名年龄在 40 至 70 岁之间的男性(符合条件的 3258 人中的 1709 名)。ED 数据通过自我报告进行测量。对受试者进行 CVD 的平均 11.7 年随访。使用 Cox 比例风险回归模型来检验 ED 与 CVD 之间的关系。使用 C 统计量来检验 ED 的判别能力。通过量化净重新分类改善的方法来评估 ED 与 CVD 风险的重新分类。
在前瞻性人群中,共纳入 1057 名有完整危险因素数据且基线时无 CVD 和糖尿病的男性。随访期间,共发生 261 例新的 CVD 病例。我们发现,在控制年龄的情况下,ED 与 CVD 发生率相关(危险比 [HR]:1.42,95%置信区间 [CI]:1.05 至 1.90);在控制年龄和传统 CVD 危险因素的情况下(HR:1.41,95% CI:1.05 至 1.90);以及在控制年龄和 Framingham 风险评分的情况下(HR:1.40,95% CI:1.04 至 1.88)。尽管存在这些显著发现,但 ED 并未显著提高 CVD 发生率的预测能力,超越传统危险因素。
在已确立的 CVD 危险因素之外,ED 与 CVD 发生率的增加显著相关。尽管如此,ED 并不能提高对谁将患上 CVD 及谁不会患上 CVD 的预测能力,超越传统危险因素。