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Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction
Published on: February 13, 2021
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.
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.
Abstract:
Heart failure (HF) presents an increasingly significant problem as the population ages. The cause of HF plays a significant role in determining treatment options and outcomes. It is worth noting that several studies have identified gender disparities in both morbidity and mortality, which may suggest differing causes of HF. The purpose of this research is to investigate the influence of various factors, including demographics and comorbidities, on ejection fraction (EF). The objectives of this study involve implementing preventive measures, ensuring timely diagnosis, and implementing interventions that target risk factors and specific comorbidities. These efforts aim to improve the prognosis for individuals affected by heart failure. The main method consists of linear regression. The demographic factors under scrutiny are gender and education, while the comorbidities of interest encompass valvulopathy, ischemia, smoking, obesity, high cholesterol, and diabetes. The main results consist of the fact that high education is associated with a 12.8% better EF on average, while among the factors with a negative role analyzed, ischemia is the most harmful, being 12.8% lower on average. Factors with a smaller impact are smoking, obesity, and high cholesterol. Diabetes does not seem to affect EF.
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