Trends and Predictors of Poor Outcomes in Patients With Right Heart Failure: Insights From the National Readmission Database.

Right heart failure (RHF) is a complex clinical syndrome that confers high risk of morbidity and mortality. We sought to study RHF using large national database. The study is a retrospective analysis of the National Readmission Database (NRD) of years 2017-2019. Admissions with a primary diagnosis of RHF were included. Study outcomes were temporal trends of RHF diagnosis and predictors of in-hospital mortality and 30-day readmission. Subgroup analysis according to co-presence of reduced or preserved left ventricular ejection fraction (LVEF). Multivariate logistic regression was utilized to detect predictors of poor outcome and difference between subgroups. A total of 127,503 admissions were identified from the database of which 4,717 primary RHF admissions were included in our cohort. There was a trend of increasing RHF diagnosis from 2017 4th Quarter to 2019 4th Quarter. Age, liver disease and reduced LVEF were amongst predictors of in-hospital mortality while iron deficiency anemia and a Charlson Comorbidity Score ≥ 3 were predictors of 30-day readmission. The study of real-world data contributes to a better understanding of RHF outcomes. Further studies are needed to investigate the association between RHF and different types of heart failure and its implications on clinical practice.