Author + information
- Received June 1, 2017
- Revision received August 23, 2017
- Accepted August 24, 2017
- Published online November 5, 2018.
- Diego Medvedofsky, MDa,
- Francesco Maffessanti, PhDb,
- Lynn Weinert, BSca,
- David M. Tehrani, MDa,
- Akhil Narang, MDa,
- Karima Addetia, MDa,
- Anuj Mediratta, MDa,
- Stephanie A. Besser, MSAS, MSA, MACJCa,
- Elad Maor, MD, PhDc,
- Amit R. Patel, MDa,
- Kirk T. Spencer, MDa,
- Victor Mor-Avi, PhDa and
- Roberto M. Lang, MDa,∗ ()
- aDepartment of Medicine, University of Chicago Medical Center, Chicago, Illinois
- bCenter for Computational Medicine in Cardiology, Institute of Computational Sciences, Università della Svizzera Italiana, Lugano, Switzerland
- cLeviev Heart Institute, The Chaim Sheba Medical Center, Tel HaShomer, Israel
- ↵∗Address for correspondence:
Dr. Roberto M. Lang, Department of Medicine, University of Chicago Medical Center, 5758 South Maryland Avenue, MC 9067 Room 5509, Chicago, Illinois 60637.
Objectives This study hypothesized that left ventricular (LV) ejection fraction (EF) and global longitudinal strain (GLS) derived from 3-dimensional echocardiographic (3DE) images would better predict mortality than those obtained by 2-dimensional echocardiographic (2DE) measurements, and that 3DE-based LV shape analysis may have added prognostic value.
Background Previous studies have shown that both LVEF and GLS derived from 2DE images predict mortality. Recently, 3DE measurements of these parameters were found to be more accurate and reproducible because of independence of imaging plane and geometric assumptions. Also, 3DE analysis offers an opportunity to accurately quantify LV shape.
Methods We retrospectively studied 416 inpatients (60 ± 18 years of age) referred for transthoracic echocardiography between 2006 and 2010, who had good-quality 2DE and 3DE images were available. Mortality data through 2016 were collected. Both 2DE and 3DE images were analyzed to measure LVEF and GLS. Additionally, 3DE-derived LV endocardial surface information was analyzed to obtain global shape indices (sphericity and conicity) and regional curvature (anterior, septal, inferior, lateral walls). Cardiovascular (CV) mortality risks related to these indices were determined using Cox regression.
Results Of the 416 patients, 208 (50%) died, including 114 (27%) CV-related deaths over a mean follow-up period of 5 ± 3 years. Cox regression revealed that age and body surface area, all 4 LV function indices (2D EF, 3D EF, 2D GLS, 3D GLS), and regional shape indices (septal and inferior wall curvatures) were independently associated with increased risk of CV mortality. GLS was the strongest prognosticator of CV mortality, superior to EF for both 2DE and 3DE analyses, and 2D EF was the weakest among the 4 functional indices. A 1% decrease in GLS magnitude was associated with an 11.3% increase in CV mortality risk.
Conclusions GLS predicts mortality better than EF by both 3DE and 2DE analysis, whereas 3D EF is a better predictor than 2D EF. Also, LV shape indices provide additional risk assessment.
The authors have reported that they have no relationships relevant to the contents of this paper to disclose.
- Received June 1, 2017.
- Revision received August 23, 2017.
- Accepted August 24, 2017.
- 2018 American College of Cardiology Foundation
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