Predicting Quality of Life of Patients in Romania with Heart Failure with Preserved Ejection Fraction by Analyzing H2FPEF Scores.

: This study aimed to find a way to predict the quality-of-life factors for patients with heart failure with preserved ejection fraction based on their H2FPEF scores. : We performed a prospective observational analysis of 142 hospitalized patients diagnosed with HFPEF who were followed for 12 months after discharge. We calculated the H2FPEF score for each patient during hospitalization. The follow-up after discharge aimed to monitor limitations of usual physical activity, recently experienced fatigue, the presence of leg edemas, the ability to exercise regularly, and sadness. We thus obtained data about these patients' quality of life, their physical and mental limitations, their number of readmissions, and the percentage of mortality. We used logistic regression models to estimate the relationship between the H2FPEF score and each variable, providing probabilities for each sign or symptom of the disease mentioned by the patients. : All the observed variables showed statistical significance. Marked limitations of physical activity showed the strongest relationship with the H2FPEF score, followed by edema and regular exercise. Our research shows a method with which to predict the quality-of-life (QoL) factors in patients with HFPEF based on their H2FPEF scores. We can predict which patients are at high risk and require more medical resources by quickly calculating their H2FPEF scores.