Abstract

Abstract Background Left atrial reservoir strain (LAr) and global longitudinal strain (GLS) have emerged as useful parameters for the assessment of left ventricular diastolic function and the estimation of left ventricular filling pressures. Yet, there remains a gap of knowledge regarding the possible association of LAr and GLS with re-hospitalization and mortality in patients with acute heart failure (HF). Aims This study aims to investigate the association between LAr and GLS with re-hospitalization and mortality in patients admitted for acute HF. Methods Out of 526 enrolled patients admitted for acute HF, 142 (mean age 71, 25% women) were systematically evaluated for LAr and GLS using speckle tracking echocardiography. Multivariable Cox regression analyses, adjusting age, sex, current smoking prevalent atrial fibrillation, hypertension, kidney disease and plasma glucose, were used to assess the associations between continuous values of LAr and GLS with all-cause mortality and HF-related re-hospitalization. Results The median follow-up time to death of any cause and HF rehospitalization was 39 (interquartile range 14-66) and 22 (4-51) months, respectively. During follow up, 63 (44%) patients died, and 63 (44%) were re-hospitalized due to HF. Lower values of LAr were significantly associated with higher risk of mortality (HR 0.93; 95%CI 0.89-0.98, p=0.008). Similarly, lower GLS was associated with higher risk of mortality (HR 0.94; 95%CI 0.89-0.99, p=0.045). Only lower values of LAr were associated with higher risk of HF re-hospitalization in the multivariable model (HR 0.93; 95%CI 0.88-0.98, p=0.004). Conclusion In this prospective, long-term follow-up study of patients with acute heart failure, lower values of LAr and GLS showed prognostic significance, with lower values being indicative of poorer outcomes. Notably, LAr was associated with higher risk of both death and rehospitalization for heart failure, whereas GLS was solely associated with higher mortality risk. These echocardiographic parameters could be further investigated for risk assessment of patients with heart failure in order to identify those at higher risk of rehospitalization and death, thereby facilitating targeted interventions to improve their prognosis.KM-curves for or the Quartiles of LAr

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