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Updated: Jun 17, 2025

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction
Published on: February 13, 2021
Heart failure with improved versus persistently reduced left ventricular ejection fraction: A comparison of the
Thong Huy Cao1,2,3, Wan Ting Tay4, Donald J L Jones1,3,5
1Department of Cardiovascular Sciences, College of Life Sciences, University of Leicester, Leicester, UK.
Insights
Approximately 20-30% of patients with heart failure with reduced ejection fraction (HFrEF) improve to heart failure with improved ejection fraction (HFimpEF) within a year, showing better outcomes. A predictive model using clinical factors can accurately forecast HFimpEF development in HFrEF patients.
Area of Science:
- Cardiology
- Heart Failure Research
- Clinical Outcomes
Background:
- Heart failure with reduced ejection fraction (HFrEF) affects millions globally.
- A subset of HFrEF patients experience improvement in left ventricular ejection fraction (LVEF).
- Understanding heart failure with improved ejection fraction (HFimpEF) is crucial for prognosis.
Purpose of the Study:
- To determine the prevalence, clinical characteristics, and prognosis of HFimpEF.
- To identify predictors of HFimpEF development in HFrEF patients.
- To validate a predictive model for HFimpEF.
Main Methods:
- Utilized data from BIOSTAT-CHF and ASIAN-HF registries.
- Defined HFimpEF as LVEF >40% with a ≥10% increase from baseline within 9 months.
- Assessed primary outcome as HF rehospitalization or all-cause mortality.
Main Results:
- Approximately 20% of HFrEF patients in BIOSTAT-CHF developed HFimpEF.
- HFimpEF was associated with significantly lower rates of mortality and HF rehospitalization.
- Identified key predictors including female sex, absence of ischemic heart disease, and baseline LVEF.
Conclusions:
- 20-30% of HFrEF patients transition to HFimpEF within one year, experiencing improved clinical outcomes.
- A predictive model incorporating clinical factors demonstrated accuracy in forecasting HFimpEF.
- These findings highlight the potential for recovery and improved prognosis in a significant HFrEF population.
Aims:
We investigated the prevalence, clinical characteristics, and prognosis of patients with heart failure (HF) with improved ejection fraction (HFimpEF).
Methods And Results:
We used data from BIOSTAT-CHF including patients with a left ventricular ejection fraction (LVEF) ≤40% at baseline who had LVEF re-assessed at 9 months. HFimpEF was defined as a LVEF >40% and a LVEF ≥10% increase from baseline at 9 months. We validated findings in the ASIAN-HF registry. The primary outcome was a composite of time to HF rehospitalization or all-cause mortality. In BIOSTAT-CHF, about 20% of patients developed HFimpEF, that was associated with a lower primary event rate of all-cause mortality (hazard ratio [HR] 0.52, 95% confidence interval [CI] 0.28-0.97, p = 0.040) and the composite endpoint (HR 0.46, 95% CI 0.30-0.70, p < 0.001) compared with patients who remained in persistent HF with reduced ejection fraction (HFrEF). The findings were similar in the ASIAN-HF (HR 0.40, 95% CI 0.18-0.89, p = 0.024, and HR 0.29, 95% CI 0.17-0.48, p < 0.001). Five independently common predictors for HFimpEF in both BIOSTAT-CHF and ASIAN-HF were female sex, absence of ischaemic heart disease, higher LVEF, smaller left ventricular end-diastolic and end-systolic diameter at baseline. A predictive model combining only five predictors (absence of ischaemic heart disease and left bundle branch block, smaller left ventricular end-systolic and left atrial diameter, and higher platelet count) for HFimpEF in the BIOSTAT-CHF achieved an area under the curve of 0.772 and 0.688 in the ASIAN-HF (due to missing left atrial diameter and platelet count).
Conclusions:
Approximately 20-30% of patients with HFrEF improved to HFimpEF within 1 year with better clinical outcomes. In addition, the predictive model with clinical predictors could more accurately predict HFimpEF in patients with HFrEF.
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