Left Ventricular Global Function Index by Magnetic Resonance Imaging—A Novel Marker for Assessment of Cardiac Performance for the Prediction of Cardiovascular Events

Author:

Mewton Nathan1,Opdahl Anders1,Choi Eui-Young1,Almeida Andre L.C.1,Kawel Nadine1,Wu Colin O.1,Burke Gregory L.1,Liu Songtao1,Liu Kiang1,Bluemke David A.1,Lima Joao A.C.1

Affiliation:

1. From the Department of Medicine, Division of Cardiology, School of Medicine, Johns Hopkins University, Baltimore, MD (N.M., A.O., E.-Y.C., A.L.C.A., J.A.C.L.); National Heart, Lung, and Blood Institute, Bethesda, MD (C.O.W.); Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC (G.L.B.); Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL (K.L.); National Institute for Biomedical Imaging and Bioengineering, Bethesda,...

Abstract

Left ventricular (LV) function is generally assessed independent of structural remodeling and vice versa. The purpose of this study was to evaluate a novel LV global function index (LVGFI) that integrates LV structure with global function and to assess its predictive value for cardiovascular (CV) events throughout adult life in a multiethnic population of men and women without history of CV diseases at baseline. A total of 5004 participants in the Multi-Ethnic Study of Atherosclerosis underwent a cardiac magnetic resonance study and were followed up for a median of 7.2 years. The LVGFI by cardiac magnetic resonance was defined by the ratio of stroke volume divided by LV total volume defined as the sum of mean LV cavity and myocardial volumes. Cox proportional hazard models were constructed to predict the end points of heart failure, hard CV events, and a combined end point of all CV events after adjustment for established risk factors, calcium score, and biomarkers. A total of 579 (11.6%) CV events were observed during the follow-up period. In adjusted models, the end points of heart failure, hard CV events, and all events were all significantly associated with LVGFI (heart failure, hazard ratio=0.64, P <0.0001; hard CV events, hazard ratio=0.79, P =0.007; all events, hazard ratio=0.79, P <0.0001). LVGFI had a significant independent predictive value in the multivariable models for all CV event categories. The LVGFI was a powerful predictor of incident HF, hard CV events, and a composite end point, including all events in this multiethnic cohort.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Internal Medicine

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