Prognosis of Patients with Hypertrophic Obstructive Cardiomyopathy: A Multicenter Cohort Study with Data-Driven Propensity Score Matching Analysis

肥厚型梗阻性心肌病患者的预后:一项基于数据驱动倾向评分匹配分析的多中心队列研究

阅读:1

Abstract

BACKGROUND: Hypertrophic obstructive cardiomyopathy (HOCM) patients are reported to have a potential risk of sudden cardiac death (SCD); however, HCM with left ventricular outflow tract (LVOT) obstruction, which is regarded as a risk indicator of SCD, is doubtful since the LVOT gradient is dynamic and may be confounded by various environmental factors and routine activities. The purpose of this study was to explore the clinical prognosis of HOCM through a multicenter cohort study with data-driven propensity score matching (PSM) analysis. METHODS: The cohort included 2268 patients with HCM from 1996 to 2021 in 13 tertiary hospitals. In the present study, we excluded 458 patients who underwent alcohol septal ablation (ASA) and septal myectomy (SM) surgery so 1810 HCM patients were eventually included. We developed a data-driven propensity score using 24 demographic and clinical variables to create 1:1 propensity-matched cohorts. A Cox proportional hazard regression model was constructed to assess the effect of HOCM on mortality. RESULTS: After logit-matching, there were no significant differences in all-cause mortality (log-rank χ (2) = 1.509, p = 0.22), cardiovascular mortality/cardiac transplantation (log-rank χ (2) = 0.020, p = 0.89) or SCD (log-rank χ (2) = 0.503, p = 0.48) between patients with HOCM and hypertrophic nonobstructive cardiomyopathy (HNCM), and according to the Cox proportional hazard regression model, LVOT obstruction was not a risk predictor in patients with HCM. CONCLUSIONS: In both matched and unmatched cohorts, there were no significant differences in clinical prognosis between HOCM and HNCM patients, and LVOT obstruction was not an independent risk predictor of prognosis in patients with HCM. CLINICAL TRIAL REGISTRATION: ChiCTR1800017330.

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。