Objective: We sought to develop a clinical model to identify heart failure patients with preserved ejection fraction (HFpEF) at highest risk for acute HF events or death.
Methods and results: Between 2010 and 2019, 422 patients with HFpEF were followed. Acute HF events occurred in 190 patients (45%), including 110 (58%) with recurrent hospitalizations. Those with recurrent events had worse 6-min walk test (p < 0.001), higher brain N-terminal prohormone natriuretic peptide (NT-proBNP, p < 0.001), and higher New York Heart Association functional class (NYHA, p < 0.001). Overall survival rates in patients with 1 HF event vs > 1 HF events were: at 1-year 91.6 vs. 91.8%, at 3-years 84.7 vs. 68.3% and at 5-years 67.4 vs. 42.7%, respectively (p < 0.04). The Hfpef survivAL hOspitalization (HALO) score revealed best predictive capability for all-cause mortality combining the variables age (p = 0.08), BMI (p = 0.124), NYHA class (p = 0.004), need for diuretic therapy (p = 0.06), left atrial volume index (p = 0.048), systolic pulmonary artery pressure (p = 0.013), NT-proBNP (p = 0.076), and number of prior hospitalizations (p = 0.006). HALO score predicted future HF hospitalizations in an ordinal logistic regression model (OR 3.24, 95% CI: 2.45-4.37, p < 0.001). The score performance was externally validated in 75 HFpEF patients, confirming a strong survival prediction (HR 2.13, 95% CI: 1.30-3.47, p = 0.002).
Conclusions: We developed a model to identify HFpEF patients at increased risk of death and HF hospitalization. NYHA class and recurrent HF hospitalizations were the strongest drivers of outcome.
Keywords: heart failure; heart failure with preserved ejection fraction; outcome; prediction model; risk stratification; survival.
Copyright © 2022 Schrutka, Seirer, Rettl, Dachs, Binder, Duca, Dalos, Badr-Eslam, Kastner, Hengstenberg, Frommlet and Bonderman.