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MAGGIC Risk Model Predicts Adverse Events and Left Ventricular Remodeling in Non-Ischemic Dilated Cardiomyopathy

Authors :
Yang Dong
Xudong Xie
Xiao Cui
Jialan Lv
Jie Ding
Dongfei Wang
Xiaogang Guo
Rui Xu
Zhicheng Pan
Source :
International Journal of General Medicine. 13:1477-1486
Publication Year :
2020
Publisher :
Informa UK Limited, 2020.

Abstract

Purpose We aimed to study the Meta-analysis Global Group in Chronic Heart Failure (MAGGIC) risk model's prognostic value and relationship with left ventricular remodeling in dilated cardiomyopathy. Patients and Methods Dilated cardiomyopathy patients were prospectively recruited and underwent clinical assessments. MAGGIC risk score was calculated. Patients were followed up for adverse events and echocardiography. Primary endpoints were all-cause mortality and first rehospitalization due to heart failure. Secondary endpoint was left ventricular remodeling defined as a decline in left ventricular ejection fraction >10% or an increase in left ventricular end-diastolic diameter >10%. Survival status was examined using Cox regression analysis. The model's ability to discriminate adverse events and left ventricular remodeling was calculated using a receiver operating characteristics curve. Results In total, 114 patients were included (median follow-up time = 31 months). The risk score was independently related to adverse events (2-year all-cause mortality: hazard ratio [HR] = 1.122; 95% confidence interval [CI], 1.043-1.208; 1-year first rehospitalization due to heart failure: HR = 1.094; 95% CI, 1.032-1.158; 2-year first rehospitalization due to heart failure: HR = 1.088; 95% CI, 1.033-1.147, all P < 0.05). One-year change in left ventricular end-diastolic diameter was correlated with the risk score (r = 0.305, P = 0.002). The model demonstrated modest ability in discriminating adverse events and left ventricular remodeling (all areas under the curve were 0.6-0.7). Conclusion The MAGGIC risk score was related to adverse events and left ventricular remodeling in dilated cardiomyopathy.

Details

ISSN :
11787074
Volume :
13
Database :
OpenAIRE
Journal :
International Journal of General Medicine
Accession number :
edsair.doi...........cd110633852e4f4e2f7ee1ec7df4d484