Influence of distal resistance and proximal stiffness on hemodynamics and RV afterload in progression and treatments of pulmonary hypertension: a computational study with validation using animal models.
Influence of distal resistance and proximal stiffness on hemodynamics and RV afterload in progression and treatments of pulmonary hypertension: a computational study with validation using animal models.
复制标题
DOI:
10.1155/2013/618326
复制
发表时间:
2013
影响因子:
--
通讯作者:
Hunter KS
中科院分区:
文献类型:
--
作者:
Su Z;Tan W;Shandas R;Hunter KS
We develop a simple computational model based on measurements from a hypoxic neonatal calf model of pulmonary hypertension (PH) to investigate the interplay between vascular and ventricular measures in the setting of progressive PH. Model parameters were obtained directly from in vivo and ex vivo measurements of neonatal calves. Seventeen sets of model-predicted impedance and mean pulmonary arterial pressure (mPAP) show good agreement with the animal measurements, thereby validating the model. Next, we considered a predictive model in which three parameters, PVR, elastic modulus (EM), and arterial thickness, were varied singly from one simulation to the next to study their individual roles in PH progression. Finally, we used the model to predict the individual impacts of clinical (vasodilatory) and theoretical (compliance increasing) PH treatments on improving pulmonary hemodynamics. Our model (1) displayed excellent patient-specific agreement with measured global pulmonary parameters; (2) quantified relationships between PVR and mean pressure and PVS and pulse pressure, as well as studiying the right ventricular (RV) afterload, which could be measured as a hydraulic load calculated from spectral analysis of pulmonary artery pressure and flow waves; (3) qualitatively confirmed the derangement of vascular wall shear stress in progressive PH; and (4) established that decreasing proximal vascular stiffness through a theoretical treatment of reversing proximal vascular remodeling could decrease RV afterload.
登录
查看更多内容
DOI:
10.1115/1.2206202
发表时间:
2006-08-01
影响因子:
1.7
作者:
Hunter, Kendall S.;Lanning, Craig J.;Shandas, Robin
通讯作者:
Shandas, Robin
DOI:
10.2307/2987937
发表时间:
1983-01-01
期刊:
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES D-THE STATISTICIAN
影响因子:
--
作者:
ALTMAN, DG;BLAND, JM
通讯作者:
BLAND, JM
影响因子:
24.3
作者:
Dartevelle, P;Fadel, E;Simonneau, G
通讯作者:
Simonneau, G
影响因子:
20.1
作者:
MILNOR, WR;BERGEL, DH;BARGAINE.JD
通讯作者:
BARGAINE.JD
DOI:
10.1152/ajpheart.1999.277.5.h2002
发表时间:
1999-11-01
影响因子:
4.8
作者:
Chesler, NC;Ku, DN;Galis, ZS
通讯作者:
Galis, ZS