医学
随机森林
肺动脉高压
置信区间
接收机工作特性
肺动脉
逻辑回归
心脏病学
内科学
肺功能测试
并发症
放射科
机器学习
计算机科学
作者
Justin K. Lui,Kari R. Gillmeyer,Ruchika Sangani,Robert Smyth,Deepa M. Gopal,Marcin A. Trojanowski,Andreea M. Bujor,Renda Soylemez Wiener,Michael P. LaValley,Elizabeth S. Klings
摘要
Diagnosis of pulmonary hypertension (PH) in systemic sclerosis (SSc) requires an invasive right heart catheterization (RHC), often based on an elevated estimated pulmonary artery systolic pressure on screening echocardiography. However, because of the poor specificity of echocardiography, a greater number of patients undergo RHC than necessary, exposing patients to potentially avoidable complication risks. The development of improved prediction models for PH in SSc may inform decision-making for RHC in these patients.
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