| Literature DB >> 29557071 |
Chayakrit Krittanawong1, Marrick L Kukin2.
Abstract
Heart failure with preserved ejection fraction (HFpEF), a complex and debilitating syndrome, is commonly seen in elderly populations. Exacerbation of HFpEF is among the most common reasons for hospital admission in the USA. The high rate of morbidity and mortality from this condition underscores the fact that HFpEF is heterogeneous, complex, and poorly characterized. Randomized, controlled trials have been very successful at identifying treatments for HF with reduced ejection fraction (HFrEF), but effective treatment options for HFpEF are lacking. Here, we discuss (1) the pathophysiology of HFpEF, (2) a standardized diagnostic and therapeutic approach, (3) a comparison of the management of recent guidelines, and (4) challenges and future directions for HFpEF management. The authors believe that it is important to identify new subtypes of HFpEF to better classify genotypes and phenotypes of HFpEF and to develop novel targeted therapies. It is our hypothesis that big data analytics will shine new light on unique HFpEF phenotypes that better respond to treatment modalities.Entities:
Keywords: Big data analytics; HFpEF; Heart failure; Management; Review
Year: 2018 PMID: 29557071 DOI: 10.1007/s11936-018-0623-1
Source DB: PubMed Journal: Curr Treat Options Cardiovasc Med ISSN: 1092-8464