2024
DOI: 10.1155/2024/2190566
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A Risk Prediction Model for Adverse Events after Surgical Valve Replacement

Liyou Lian,
Hongxia Yao,
Rujie Zheng
et al.

Abstract: Background. Although several risk-predictive models for patients undergoing surgical valve replacement (SVR) have been published, reports on composite endpoints of adverse events in these patients are limited. This study aimed to establish a novel, easy-to-use prognostic prediction model of composite endpoints in patients following SVR. Methods. According to the inclusion criteria, patients with successful SVR were enrolled. Adverse events, including heart failure hospitalization, stroke, major bleeding, uncon… Show more

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