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The Prognostic Factors of Alcoholic Cardiomyopathy: A single-center cohort study
Wei Fang1, Rong Luo, Yibin Tang
1Medical School of the University of Electronic Science and Technology of China Institute of Cardiovascular Disease, Chengdu Medical College Department of Laboratory Medicine, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, Sichuan Cardiac Arrhythmia Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China Section of Cardiology, Department of Medicine, Sahlgrenska University Hospital/Östra Hospital, Göteborg, Sweden Department of Radiology, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China Department of Cardiology, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, Sichuan.
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.
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