Patient phenotype profiling in heart failure with preserved ejection fraction to guide therapeutic decision making. A scientific statement of the Heart Failure Association, the European Heart Rhythm Association of the European Society of Cardiology, and the European Society of Hypertension

2023 | journal article. A publication with affiliation to the University of Göttingen.

Jump to: Cite & Linked | Documents & Media | Details | Version history

Cite this publication

​Patient phenotype profiling in heart failure with preserved ejection fraction to guide therapeutic decision making. A scientific statement of the Heart Failure Association, the European Heart Rhythm Association of the European Society of Cardiology, and the European Society of Hypertension​
Anker, S. D.; Usman, M. S.; Anker, M. S.; Butler, J.; Böhm, M.; Abraham, W. T. & Adamo, M. et al.​ (2023) 
European Journal of Heart Failure25(7) pp. 936​-955​.​ DOI: https://doi.org/10.1002/ejhf.2894 

Documents & Media

License

Usage license

Details

Authors
Anker, Stefan D.; Usman, Muhammad Shariq; Anker, Markus S.; Butler, Javed; Böhm, Michael; Abraham, William T.; Adamo, Marianna; Chopra, Vijay K.; Cicoira, Mariantonietta; Cosentino, Francesco; Rosano, Giuseppe M.C.
Abstract
Abstract Heart failure with preserved ejection fraction (HFpEF) represents a highly heterogeneous clinical syndrome affected in its development and progression by many comorbidities. The left ventricular diastolic dysfunction may be a manifestation of various combinations of cardiovascular, metabolic, pulmonary, renal, and geriatric conditions. Thus, in addition to treatment with sodium–glucose cotransporter 2 inhibitors in all patients, the most effective method of improving clinical outcomes may be therapy tailored to each patient's clinical profile. To better outline a phenotype‐based approach for the treatment of HFpEF, in this joint position paper, the Heart Failure Association of the European Society of Cardiology, the European Heart Rhythm Association and the European Hypertension Society, have developed an algorithm to identify the most common HFpEF phenotypes and identify the evidence‐based treatment strategy for each, while taking into account the complexities of multiple comorbidities and polypharmacy.
Issue Date
2023
Journal
European Journal of Heart Failure 
ISSN
1388-9842
eISSN
1879-0844
Language
English

Reference

Citations


Social Media