Abstract 4138417: A Novel Echocardiography Risk Score Predicted Mortality In Patients With Heart Failure With Preserved Ejection Fraction.

Introduction: Patients with heart failure with preserved ejection fraction (HFpEF) exhibit several echocardiographic abnormalities, including diastolic dysfunction, left ventricular (LV) hypertrophy, left atrial enlargement or pulmonary hypertrophy. It is not fully understood how these abnormalities are related with prognosis in HFpEF patients. Hypothesis: A combination of echocardiography parameters can predict clinical outcome in patients with HFpEF. Aims: This study aimed to develop a model to predict all-cause mortality in patients with HFpEF using echocardiography parameters. Methods: We analyzed data from 952 patients (81±9 years, 43% male) registered in the PURSUIT-HFpEF (Prospective, Multicenter, Observational Study of Patients with Heart Failure with Preserved Ejection Fraction) study, a multicenter registry of patients hospitalized for acute decompensated HFpEF. Comprehensive echocardiography was performed before discharge. Patients were randomly assigned to the derivation and validation cohorts (2:1 ratio). Stepwise model selection was performed on age, sex and 26 echocardiography parameters to identify independent predictors of mortality. These predictors were used to construct a risk model for mortality. The accuracy of the risk score was validated using time-dependent ROC curves in both the derivation cohort (n=629) and in the validation cohort (n=323). Results: During the follow-up period (720 days, IQR: 376, 1100 days), all-cause death was observed in 248 patients (26.1%). Age, sex, diastolic (DWS), E/e’ ratio, LV mass index, LV posterior wall thickness (PWth), relative wall thickness (RWT), tricuspid regurgitant pressure gradient (TRPG) were selected as independent predictors of all-cause death. The score shown in the Table was applied to each factor, and the sum of the scores was calculated as the risk score. The AUC of the risk score for predicting 1-year mortality in the derivation cohort was 0.71 and the optimal cut-off value of 4.5 provided a sensitivity and specificity of 62.8% and 69.1%, respectively. The AUC for 1-year mortality in the validation cohort was 0.67. Conclusions: The novel echocardiography score effectively predicted mortality in HFpEF. This model could be a valuable tool for risk stratification.