Fast Parameters Estimation in Medication Efficacy Assessment Model for Heart Failure Treatment. (3rd October 2012)

• Record Type: Journal Article
• Authors: Ren, Yinzi; Fu, Xiao; Pan, Qing; Lin, Chengyu; Yang, Guiqiu; Li, Li; Gong, Shijin; Cai, Guolong; Yan, Jing; Ning, Gangmin
• Other Names: Ye Xuesong Academic Editor.
• Is Part Of: Computational and mathematical methods in medicine. Volume 2012(2012)
• Publication Date: 2012-10-03
• Subjects: Medicine -- Computer simulation -- Periodicals; Medicine -- Mathematical models -- Periodicals; 610.11
• DOI: 10.1155/2012/608637
• Languages: English
• ISSNs: 1748-670X

Abstract

Abstract : 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.