Related Experiment Video
Updated: May 17, 2026

A Pacing-Controlled Procedure for the Assessment of Heart Rate-Dependent Diastolic Functions in Murine Heart Failure Models
Published on: July 21, 2023
Fast parameters estimation in medication efficacy assessment model for heart failure treatment
1Department of Biomedical Engineering, Zhejiang University, Hangzhou 310027, China.
Introduction:
Heart failure (HF) is a common and potentially fatal condition. Cardiovascular research has focused on medical therapy for HF. Theoretical modelling could enable simulation and evaluation of the effectiveness of medications. Furthermore, the models could also help predict patients' cardiac response to the treatment which will be valuable for clinical decision-making.
Methods:
This study presents a fast parameters estimation algorithm for constructing a cardiovascular model for medicine evaluation. The outcome of HF treatment is assessed by hemodynamic parameters and a comprehensive index furnished by the model. Angiotensin-converting enzyme inhibitors (ACEIs) were used as a model drug in this study.
Results:
Our simulation results showed different treatment responses to enalapril and lisinopril, which are both ACEI drugs. A dose-effect was also observed in the model simulation.
Conclusions:
Our results agreed well with the findings from clinical trials and previous literature, suggesting the validity of the model.
Related Concept Videos
Heart Failure V: Medical Management
Impact of Pharmacokinetic–Pharmacodynamic Models: Regulatory Decisions
Pharmacodynamic Models: Linear Concentration–Effect Model
Heart Failure Drugs: β-Blockers
Heart Failure Drugs: Inhibitors of Renin-Angiotensin System
Heart Failure IV: Classification and Diagnostic Evaluation
