Predictors of in-hospital and post-discharge heart failure In multivariate analysis to identify predictors of in-hospital HF using GLS, LS ant , GCS, LVEF, WMSI, LVESVI, significant MR, RVSP, number of diseased vessels, and history of smoking, all of which were proved to be of significance in univariate analysis, GLS was the only and the strongest predictor remained statistically significant (odds ratio [OR], 1.853; 95% confidence interval [CI], 1.207–2.846; p=0.005), and RVSP showed borderline significance ( Table 3 ).
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Usefulness of Myocardial Longitudinal Strain in Prediction of Heart Failure in Patients with Successfully Reperfused Anterior Wall ST-segment Elevation Myocardial Infarction.
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