OCT‐Derived Virtual Fractional Flow Reserve Associated With 1‐Year Outcomes After PCI in ACS Patients

医学 部分流量储备 传统PCI 狼牙棒 心脏病学 内科学 急性冠脉综合征 逻辑回归 胸痛 临床终点 回顾性队列研究 心绞痛 接收机工作特性 急诊医学 Lasso(编程语言) 试验预测值 不稳定型心绞痛 梅德林 特征(语言学) 随机森林 共病 经皮冠状动脉介入治疗
作者
Qianhang Xia,Shuangya Yang,Pan Li,Xi Wang,Chancui Deng,Ning Gu,Youcheng Shen,Jin Shen,Zhenglong Wang,Bei Shi,Ranzun Zhao
出处
期刊:Catheterization and Cardiovascular Interventions [Wiley]
卷期号:107 (5): 1324-1332
标识
DOI:10.1002/ccd.70458
摘要

BACKGROUND: Despite PCI, many acute coronary syndrome (ACS) patients experience major adverse cardiovascular events (MACE). Angiography is limited, and fractional flow reserve (FFR) is restricted by cost and specialized resource requirements. Optical coherence tomography (OCT)-derived FFR (OFR) allows functional assessment without hyperemia, but its prognostic role after PCI is unclear. AIMS: To investigate the association between post-PCI OFR and 1-year target vessel-related MACE in ACS patients and to develop machine learning-based models to explore risk stratification. METHODS: This single-center retrospective study included 719 ACS patients undergoing OCT-guided PCI at the Affiliated Hospital of Zunyi Medical University (May 2022 to December 2023). The primary endpoint was target vessel-related MACE (cardiac death, revascularization, myocardial infarction, or angina rehospitalization). Imaging features were selected by LASSO and Boruta, and machine learning-based classification models were built with XGBoost, random forest, support vector machine, logistic regression, and light gradient boosting. Performance was assessed using ROC curves and feature importance via GINI index.
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