The individualized approach in heart failure with preserved ejection fraction. From clinical practice to Artificial Intelligence

Authors

  • Inessa JITARI Institute of Cardiology
  • Dmitri SAVCA State University of Medicine and pharmacy " N. Testemitanu”
  • Viorica OCHIȘOR State University of Medicine and pharmacy " N. Testemitanu”
  • Valeriu REVENCO State University of Medicine and pharmacy " N. Testemitanu”
  • Irina CABAC-POGOREVICI State University of Medicine and pharmacy " N. Testemitanu”

DOI:

https://doi.org/10.52692/1857-0011.2024.1-78.22

Keywords:

heart failure with preserved ejection fraction, phenotyping, artificial intelligence

Abstract

In the last 2 decades heart failure has received a lot of attention; however, little therapeutic progress has been recorded. Globally, more than 60 million people suffer from heart failure, and its prevalence is constantly increasing. Identifying the specific clinical entities and comorbidities associated with different phenotypes of heart failure with preserved ejection fraction may have important clinical implications as it may help guide the development of targeted therapies for these subtypes. Identification and characterization of heart failure phenotypes with preserved ejection fraction is important for guiding diagnosis, management, and research into new treatment strategies.

Author Biographies

Inessa JITARI, Institute of Cardiology

cardiologist, PhD candidate

Dmitri SAVCA, State University of Medicine and pharmacy " N. Testemitanu”

University Assistant, PhD candidate

Viorica OCHIȘOR , State University of Medicine and pharmacy " N. Testemitanu”

Doctor of Medical Sciences, Associate Professor

Valeriu REVENCO, State University of Medicine and pharmacy " N. Testemitanu”

Dr. habil. med., prof.

Irina CABAC-POGOREVICI, State University of Medicine and pharmacy " N. Testemitanu”

Dr. med. sci., assoc. prof.

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Published

2024-08-05

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Research Article

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