The Prognostic Factors of Alcoholic Cardiomyopathy: A single-center cohort study

酒精性心肌病预后因素:一项单中心队列研究

阅读:1

Abstract

BACKGROUND: Alcoholic cardiomyopathy (ACM) is considered one of the main causes of left ventricular dysfunction and is the leading cause of nonischemic dilated cardiomyopathy (DCM) in developed countries. However, very few studies have investigated the relationship between clinical characteristics and prognosis in ACM. AIMS: This study aimed to identify risk factors related to a poor outcome in ACM patients. STUDY DESIGN: Retrospective cohort study. METHODS: This study included 321 patients with ACM admitted to our hospital between 2003 and 2013. This study aimed to investigate the clinical characteristics and outcomes of the patients with ACM, and the primary endpoint of the study was all-cause mortality, which was assessed through patient medical records (review of patient hospital records and periodic examination of patients in the outpatient clinic) and medical follow-up calls with trained personnel. All-cause mortality was assessed using Kaplan-Meier survival curves, and the risk factors were assessed using Cox regression. A receiver operating characteristic (ROC) curve analysis was performed to optimize the cutoff point for discriminating between the 2 risk groups. RESULTS: After a median follow-up period of 3.78 years (interquartile range: 2.08-6.52 years), 83 (27.7%) patients were dead. The independent predictors of all-cause mortality due to ACM were the QRS duration (HR: 1.014; 95% CI: 1.004-1.019; P = .003), systolic blood pressure (HR: 0.980; 95% CI: 0.963- 0.997; P = .020), and New York Heart Association classification (HR: 1.595; 95% CI: 1.110-2.290; P = .011) at admission. CONCLUSION: Our study indicated that the QRS duration, systolic blood pressure, and New York Heart Association classification at admission provided independent prognostic information in patients with ACM.

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。