Comparative analysis of different risk prediction tools after mitral Transcatheter edge-to-edge repair

医学 内科学 心脏病学 GSM演进的增强数据速率 人工智能 计算机科学
作者
Maurício Felippi de Sá Marchi,Mark van den Dorpel,Pedro Calomeni,Sraman Chatterjee,Rik Adrichem,Sarah Verhemel,Antoon J.M. van den Enden,Joost Daemen,Isabella Kardys,Henrique Barbosa Ribeiro,Nicolas M. Van Mieghem
出处
期刊:International Journal of Cardiology [Elsevier BV]
卷期号:400: 131768-131768 被引量:3
标识
DOI:10.1016/j.ijcard.2024.131768
摘要

Abstract

Background

Transcatheter edge-to-edge repair (TEER) has become an established treatment for primary and secondary mitral regurgitation (PMR and SMR). The objective of this study was to compare the accuracy of different risk scores for predicting 1-year mortality and the composite endpoint of 1-year mortality and/or heart failure (HF) hospitalization after TEER.

Methods

We analyzed data from 206 patients treated for MR at a tertiary European center between 2011 and 2023 and compared the accuracy of different mitral and surgical risk scores: EuroSCORE II, GRASP, MITRALITY, MitraScore, TAPSE/PASP-MitraScore, and STS for predicting 1-year mortality and the composite of 1-year mortality and/or HF hospitalization in PMR and SMR. A subanalysis of SMR-only patients with the addition of COAPT Risk Score and baseline N-Terminal pro-Brain Natriuretic Peptide (NT-proBNP) list was also performed.

Results

MITRALITY had the best discriminative ability for 1-year mortality and the composite endpoint of 1-year mortality and/or HF hospitalization, with an area under the curve (AUC) of 0.74 and 0.74, respectively, in a composed group of PMR and SMR. In a SMR-only population, MITRALITY also presented the best AUC for 1-year mortality and the composite endpoint of 1-year mortality and/or HF hospitalization, with values of 0.72 and 0.72, respectively.

Conclusion

MITRALITY was the best mitral TEER risk model for both 1-year mortality and the composite endpoint of 1-year mortality and/or HF hospitalization in a population of PMR and SMR patients, as well as in SMR patients only. Surgical risk scores, MitraScore, TAPSE/PASP-MitraScore and NT-proBNP alone showed poor predictive values.
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