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Updated: Aug 23, 2025

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction
Published on: February 13, 2021
Persistent High Burden of Heart Failure Across the Ejection Fraction Spectrum in a Nationwide Setting
Davide Stolfo1,2, Lars H Lund1,3, Lina Benson1
1Division of Cardiology, Department of Medicine Karolinska Institutet Stockholm Sweden.
Insights
Heart failure (HF) patients face significantly higher risks of cardiovascular and noncardiovascular events and mortality. These patients also experience substantially longer hospital stays, highlighting the substantial burden of HF on healthcare systems.
Area of Science:
- Cardiology
- Public Health
- Epidemiology
Background:
- Heart failure (HF) significantly impacts global healthcare due to rising prevalence and high rates of cardiovascular and noncardiovascular events.
- Prognosis for HF patients remains poor, necessitating further research into patient characteristics and outcomes.
Purpose of the Study:
- To compare patient characteristics and outcomes (HF, cardiovascular, noncardiovascular) between a large heart failure population and a matched population without HF.
- To analyze outcomes across the spectrum of ejection fraction (EF) in heart failure patients.
Main Methods:
- A 1:3 matched cohort study comparing 76,453 Swedish HF registry patients (2005-2018) with individuals without HF.
- Outcomes assessed included cardiovascular and noncardiovascular mortality and hospitalizations.
- Patients were stratified by ejection fraction: reduced EF (53%), mildly reduced EF (23%), and preserved EF (24%).
Main Results:
- HF patients exhibited higher rates of comorbidities and poorer socioeconomic status compared to non-HF individuals.
- HF patients had significantly increased risks for all-cause (HR 2.53), cardiovascular (HR 4.67), and noncardiovascular (HR 1.49) mortality.
- HF patients faced 2- to 5-fold higher hospitalization risks and approximately four times longer hospital stays for any cause.
Conclusions:
- Heart failure imposes a substantial healthcare burden, characterized by elevated risks of cardiovascular, all-cause, and noncardiovascular events.
- Patients with HF spend nearly four times longer in hospitals compared to those without HF.
- These epidemiological findings can inform healthcare resource allocation and the design of future HF clinical trials.
Abstract:
Background Heart failure (HF) has a dramatic impact on worldwide health care systems that is determined by the growing prevalence of and the high exposure to cardiovascular and noncardiovascular events. Prognosis remains poor. We sought to compare a large population with HF across the ejection fraction (EF) spectrum with a population without HF for patient characteristics, and HF, cardiovascular, and noncardiovascular outcomes. Methods and Results Patients with HF registered in the Swedish HF registry in 2005 to 2018 were compared 1:3 with a sex-, age-, and county-matched population without HF. Outcomes were cardiovascular and noncardiovascular mortality and hospitalizations. Of 76 453 patients with HF, 53% had reduced EF, 23% mildly reduced EF, and 24% preserved EF. Compared with those without HF, patients with HF had more cardiovascular and noncardiovascular comorbidities and worse socioeconomic status. Incidence of cardiovascular and noncardiovascular events was higher in people with HF versus non-HF, with increased risk of all-cause (hazard ratio [HR], 2.53 [95% CI, 2.50-2.56]), cardiovascular (HR, 4.67 [95% CI, 4.59-4.76]), and noncardiovascular (HR, 1.49 [95% CI, 1.46-1.52]) mortality, 2- to 5-fold higher risk of first/repeated cardiovascular and noncardiovascular hospitalizations, and ~4 times longer in-hospital length of stay for any cause. Patients with HF with reduced EF had higher risk of HF hospitalizations, whereas those with HF with preserved EF had higher risk of all-cause and noncardiovascular hospitalization and mortality. Conclusions Patients with HF exert a high health care burden, with a much higher risk of cardiovascular, all-cause, and noncardiovascular events, and nearly 4 times as many days spent in hospital compared with those without HF. These epidemiological data may enable strategies for optimal resource allocation and HF trial design.
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