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

Int J Gen Med. 2020 Dec 10:13:1477-1486. doi: 10.2147/IJGM.S288732. eCollection 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.

Keywords: dilated cardiomyopathy; left ventricular remodeling; prognosis; risk model.

Grants and funding

This research was supported by grants from the Program of National Natural Science Foundation of China [No.81470370]; the Key Projects of Zhejiang Medical and Health Science and Technology Plan (Provincial and Ministerial Co-construction) [No. WKJ-ZJ-1819]; and the Fundamental Research Funds for the Zhejiang Province Universities [No. 2019XZZX003-15].