The Impact of Comorbidities and Demographic Factors on Ejection Fraction

Cezara Andreea Soysaler1, Cătălina Liliana Andrei1, Octavian Ceban2

  • 1Department of Cardiology, University of Medicine and Pharmacy "Carol Davila", Emergency Hospital "Bagdasar-Arseni", 050474 Bucharest, Romania.

PubMed

Insights

Higher education is linked to better ejection fraction (EF) in heart failure (HF) patients, while ischemia significantly lowers EF. Other factors like smoking and obesity have minor impacts, and diabetes shows no effect on EF.

Area of Science:

  • Cardiology
  • Public Health
  • Gerontology

Background:

  • Heart failure (HF) is a growing concern, particularly in aging populations.
  • Gender disparities in HF morbidity and mortality suggest varied underlying causes.
  • Understanding factors influencing ejection fraction (EF) is crucial for targeted interventions.

Purpose of the Study:

  • To investigate the impact of demographic factors and comorbidities on ejection fraction (EF) in heart failure patients.
  • To identify key predictors of EF to guide preventive measures, diagnosis, and treatment strategies.
  • To enhance prognostic outcomes for individuals with heart failure.

Main Methods:

  • Linear regression analysis was employed to assess the influence of various factors on EF.
  • Demographic variables included gender and education level.
  • Comorbidities examined were valvulopathy, ischemia, smoking, obesity, high cholesterol, and diabetes.

Main Results:

  • Higher education was associated with a significant improvement in EF (12.8% increase).
  • Ischemia demonstrated the most detrimental effect, reducing EF by 12.8%.
  • Smoking, obesity, and high cholesterol showed smaller negative impacts; diabetes did not significantly affect EF.

Conclusions:

  • Educational attainment and specific comorbidities like ischemia significantly influence ejection fraction in heart failure.
  • These findings underscore the importance of considering socioeconomic and clinical factors in HF management.
  • Personalized interventions targeting risk factors can potentially improve heart failure prognosis.

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