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Updated: Jul 16, 2025

Lumped-Parameter and Finite Element Modeling of Heart Failure with Preserved Ejection Fraction
Published on: February 13, 2021
The value of using left ventricular pressure-strain loops to evaluate myocardial work in predicting heart failure
Tianyue Li1, Ziyao Li2, Shuang Guo3
1Department of Ultrasound, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai 519000, China; Department of Ultrasound, the Second Affiliated Hospital of Harbin Medical University, Harbin 150081, China.
Background:
The ultrasound left ventricular pressure-strain loop (LV PSL) was applied to evaluate myocardial work in heart failure with improved ejection fraction (HFimpEF) versus patients with persistent heart failure with reduced ejection fraction (HFrEF) to investigate the value of myocardial work parameters in predicting HFimpEF.
Methods:
We collected 120 patients with HFrEF and recorded clinical characteristics and echocardiographic parameters (PSL technique) of patients. Patients were divided into HFimpEF group or persistent HFrEF group according to the outcome of follow-up. Furthermore, differential clinical and echocardiographic parameters were determined by Student's t-test. We recognized the important echocardiographic parameters to predict whether patients would recover to HFimpEF using the univariate logistic regression analysis and ROC curves. In addition, the multivariate logistic regression models were constructed and evaluated using Delong test and decision curve analysis.
Results:
Firstly, the HFimpEF group had a higher prevalence of hypertension and higher systolic blood pressure (P-values <0.05). In terms of echocardiographic parameters, HFimpEF group also had higher LVEF, LV GLS, GCW, GWE, and GWI and lower LVEDD (P-values <0.01). In particular, LVEF, LVEDD, GLS, GWI, and GCW were robust predictors of the conversion of HFrEF patients to HFimpEF (AUC >0.70, P-values <0.05). Finally, we determined that the predictive Model 4 (LVEF, LVEDD, GLS, and GCW) had the optimal diagnostic power.
Conclusion:
The model constructed by GCW with LVEF, LVEDD, and GLS has important predictive value for HFimpEF, which is an effective clinical decision-making tool for providing disease assessment.
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