Incremental prognostic value of global myocardial work over ejection fraction and global longitudinal strain in patients with heart failure and reduced ejection fraction.

Published on Feb 22, 2021in European Journal of Echocardiography4.841
· DOI :10.1093/EHJCI/JEAA162
Chun-Li Wang15
Estimated H-index: 15
(CGU: Chang Gung University),
Yi-Hsin Chan15
Estimated H-index: 15
(CGU: Chang Gung University)
+ 3 AuthorsPao-Hsien Chu21
Estimated H-index: 21
(CGU: Chang Gung University)
Sources
Abstract
AIMS  Left ventricular (LV) ejection fraction (EF) and global longitudinal strain (GLS) help identify heart failure (HF) patients who are at risk for adverse outcomes. This study aimed to determine whether global myocardial work (GMW), derived from non-invasive LV pressure-strain loops, can provide incremental prognostic information over EF and GLS in patients with HF and reduced EF (HFrEF). METHODS AND RESULTS  We retrospectively analysed 508 patients (age 62.9 ± 15.8 years, 29.1% female) with LVEF ≤40%. The study endpoint was a composite of all-cause death and HF hospitalization. The incremental value of GMW over clinical and echocardiographic variables including EF and GLS for the association with the composite endpoint was assessed using Cox regression analyses. Over a 1-year follow-up, 183 patients reached the endpoint. Baseline variables associated with the endpoint were age, haemoglobin, LV end-systolic volume, New York Heart Association Class III or IV, E/e' ratio, pulmonary artery systolic pressure, EF, and GLS. Cox regression analysis revealed that GMW [hazard ratio (HR) 1.15, 95% confidence interval (CI) 1.05-1.25, per 100-mmHg% decrease] added incremental prognostic value over these variables. Both EF and GLS were not independent variables when GMW was included in the model. Patients with GMW <750 mmHg% were associated with a significantly higher risk of all-cause death and HF hospitalization (HR 3.33, 95% CI 2.31-4.80) than patients with GMW ≥750 mmHg%. CONCLUSION  In patients with HFrEF, GMW provides incremental prognostic information over EF and GLS regarding risk of all-cause death and HF hospitalization.
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#1Monika Przewlocka-Kosmala (UTAS: University of Tasmania)H-Index: 16
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