Temporal trends, prevalence, predictors, and outcomes of heart failure in patients with hypertrophic cardiomyopathy in the United States: Insights from the national inpatient sample

This study aims to delineate the temporal trends, prevalence, predictors, and outcomes of HF among HCM patients using the National Inpatient Sample (NIS) database, with a focus on optimizing therapeutic strategies and healthcare resources. We conducted a retrospective cohort analysis of anonymized data from the NIS spanning 2016 to 2019. The study population consisted of adults diagnosed with HCM based on specific ICD-10 diagnostic codes. Logistic regression was utilized to explore the association between HF and in-hospital mortality, adjusting for demographic and clinical factors. Our analysis included 215,505 individuals, with 97,875 (45.4 %) experiencing HF. Patients with HF exhibited a higher burden of comorbidities such as diabetes and renal failure, and had increased odds of mortality (OR 1.41). The study also highlighted significant demographic disparities, with marked differences in outcomes based on race and gender. The economic analysis revealed higher healthcare costs and longer hospital stays associated with HF. HF significantly impacts mortality, healthcare costs, and hospitalization length in HCM patients, with substantial demographic and clinical disparities. This study underscores the importance of tailored management strategies and the need for continuous surveillance and research to address the challenges posed by HF in HCM.