Analysis risk factors of long-term adverse outcomes and a prediction nomogram for coronary artery disease patients underwent fractional flow reserve

分析冠状动脉疾病患者长期不良预后的风险因素,并构建预测列线图,这些患者均接受了血流储备分数(FFR)检查。

阅读:1

Abstract

Background: The role of fractional flow reserve (FFR) in intermediate lesions has been widely used and recommended by guidelines. However, the long-term outcomes in patient with an intermediate stenosis received FFR have not yet been investigated comprehensively. Methods: We retrospectively included 558 patients underwent both coronary artery angiography (CAG) and FFR. Multivariate logistic regression analysis was employed to identify the independent predictors of major adverse cardiovascular and cerebrovascular events (MACCEs). Additionally, we constructed a prediction nomogram and tested its performance by multiple methods. Results: During a median follow-up of 6.2 years, 87 (15.59%) adverse events were documented. Multivariate logistic regression results revealed that age (OR 1.13, p<0.01), diabetes mellitus (OR, 5.87, p<0.01), hyperuricemia (OR, 2.91, p<0.01) were independently associated with MACCEs. The nomogram consists of age, smoking, hypertension, diabetes mellitus (DM), hyperuricemia, and FFR≤0.8 six factors. The AUC of 3-year, 5-year, 7-year receiver operating characteristic (ROC) curves of training set were 0.697, 0.823, 0.854, and of validation set were 0.845, 0.924, 0.856. The calibration curves and decision curve analysis (DCA) illustrated the ability of the nomogram to predict long-term adverse outcomes and its net benefits in clinical practice. Conclusions: Age, DM, and hyperuricemia were independently associated with long-term adverse outcomes, and the constructed nomogram may be used as a visible tool to predict long-term adverse outcomes for patients underwent FFR.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。