A numerical study on the siphonic effect of enhanced external counterpulsation at lower extremities with a coupled 0D-1D closed-loop personalized hemodynamics model

• Published in: Journal of biomechanics Vol. 166; p. 112057
• Main Authors: Zhang, Qi, Zhang, Ya-hui, Hao, Li-ling, Xu, Xuan-hao, Wu, Gui-fu, Lin, Ling, Xu, Xiu-li, Qi, Lin, Tian, Shuai
• Format: Journal Article
• Language: English
• Published: United States Elsevier Ltd 01.03.2024; Elsevier Limited
• Subjects: 0D-1D model; Accuracy; Arteries; Blood circulation; Blood flow; Closed loops; Coronary artery disease; Coronary vessels; Counterpulsation - methods; Cuffs; Customization; Decision making; Diastole; Enhanced external counterpulsation; Femoral artery; Femur; Flow velocity; Health services; Heart diseases; Hemodynamics; Humans; Ischemia; Lower Extremity; Personalized model; Pulse Wave Analysis; Reproducibility of Results; Siphonic effect; Ultrasonic imaging; Wave velocity; Waveforms; Enhanced external counterpulsation; Lower extremity; Personalized model; 0D-1D model; Siphonic effect
• ISSN: 0021-9290; 1873-2380
• DOI: 10.1016/j.jbiomech.2024.112057

Enhanced external counterpulsation (EECP) is a treatment and rehabilitation approach for ischemic diseases, including coronary artery disease. Its therapeutic benefits are primarily attributed to the improved blood circulation achieved through sequential mechanical compression of the lower extremities. However, despite the crucial role that hemodynamic effects in the lower extremity arteries play in determining the effectiveness of EECP treatment, most studies have focused on the diastole phase and ignored the systolic phase. In the present study, a novel siphon model (SM) was developed to investigate the interdependence of several hemodynamic parameters, including pulse wave velocity, femoral flow rate, the operation pressure of cuffs, and the mean blood flow changes in the femoral artery throughout EECP therapy. To verify the accuracy of the SM, we coupled the predicted afterload in the lower extremity arteries during deflation using SM with the 0D-1D patient-specific model. Finally, the simulation results were compared with clinical measurements obtained during EECP therapy to verify the applicability and accuracy of the SM, as well as the coupling method. The precision and reliability of the previously developed personalized approach were further affirmed in this study. The average waveform similarity coefficient between the simulation results and the clinical measurements during the rest state exceeded 90%. This work has the potential to enhance our understanding of the hemodynamic mechanisms involved in EECP treatment and provide valuable insights for clinical decision-making.