UNASSIGNED: Four hundred fifty patients with suspected CAD who underwent coronary computed tomographic angiography were consecutively enrolled between September 2015 and June 2017. Nomograms were established based on independent predictors of CAD or subclinical CAD.
UNASSIGNED: In total, 437 patients with suspected CAD who underwent coronary computed tomographic angiography were included. Male sex, age ≥65 years, smoking, hypertension, diabetes, dyslipidemia, ischemic stroke, and ANS were independent predictors of CAD and subclinical CAD. The areas under the curve of each nomogram were 0.799 (95% CI: 0.752-0.846) and 0.809 (95% CI: 0.762-0.856), respectively. The calibration curve and decision curve analysis showed good performance for the diagnostic nomograms. The prediction of CAD or subclinical CAD by the ANS was not modified by the independent predictors (all, p for interaction >0.05).
UNASSIGNED: Our ANS-based nomograms can provide accurate and individualized risk predictions for patients with suspected CAD or subclinical CAD.
UNASSIGNED:在2015年9月至2017年6月期间连续纳入四百五十例疑似CAD患者行冠状动脉CT血管造影。基于CAD或亚临床CAD的独立预测因子建立列线图。
未经批准:总共,纳入了437例疑似CAD患者,他们接受了冠状动脉CT血管造影。男性,年龄≥65岁,吸烟,高血压,糖尿病,血脂异常,缺血性卒中,和ANS是CAD和亚临床CAD的独立预测因子。每个列线图的曲线下面积分别为0.799(95%CI:0.752-0.846)和0.809(95%CI:0.762-0.856),分别。校准曲线和判定曲线分析显示诊断列线图的良好性能。ANS对CAD或亚临床CAD的预测没有被独立预测因子修改(所有,相互作用的p>0.05)。
UNASSIGNED:我们基于ANS的列线图可以为疑似CAD或亚临床CAD患者提供准确和个性化的风险预测。