| Literature DB >> 31674809 |
Henrik Finsberg1,2,3, Ce Xi4, Xiaodan Zhao5, Ju Le Tan5, Martin Genet6,7, Joakim Sundnes1,2,3, Lik Chuan Lee4, Liang Zhong5,8, Samuel T Wall1,2.
Abstract
Pulmonary arterial hypertension (PAH) causes an increase in the mechanical loading imposed on the right ventricle (RV) that results in progressive changes to its mechanics and function. Here, we quantify the mechanical changes associated with PAH by assimilating clinical data consisting of reconstructed three-dimensional geometry, pressure, and volume waveforms, as well as regional strains measured in patients with PAH (n = 12) and controls (n = 6) within a computational modeling framework of the ventricles. Modeling parameters reflecting regional passive stiffness and load-independent contractility as indexed by the tissue active tension were optimized so that simulation results matched the measurements. The optimized parameters were compared with clinical metrics to find usable indicators associated with the underlying mechanical changes. Peak contractility of the RV free wall (RVFW) γRVFW,max was found to be strongly correlated and had an inverse relationship with the RV and left ventricle (LV) end-diastolic volume ratio (i.e., RVEDV/LVEDV) (RVEDV/LVEDV)+ 0.44, R2 = 0.77). Correlation with RV ejection fraction (R2 = 0.50) and end-diastolic volume index (R2 = 0.40) were comparatively weaker. Patients with with RVEDV/LVEDV > 1.5 had 25% lower γRVFW,max (P < 0.05) than that of the control. On average, RVFW passive stiffness progressively increased with the degree of remodeling as indexed by RVEDV/LVEDV. These results suggest a mechanical basis of using RVEDV/LVEDV as a clinical index for delineating disease severity and estimating RVFW contractility in patients with PAH.NEW & NOTEWORTHY This article presents patient-specific data assimilation of a patient cohort and physical description of clinical observations.Entities:
Keywords: cardiac mechanics; contractility; data assimilation; patient-specific simulations; pulmonary arterial hypertension
Mesh:
Year: 2019 PMID: 31674809 PMCID: PMC7132315 DOI: 10.1152/ajpheart.00094.2019
Source DB: PubMed Journal: Am J Physiol Heart Circ Physiol ISSN: 0363-6135 Impact factor: 4.733