A canonical correlation analysis of the relationship between clinical attributes and patient-specific hemodynamic indices in adult pulmonary hypertension

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dc.authoridŞenol Pişkin / 0000-0002-8799-9472en_US
dc.authorscopusidŞenol Pişkin / 8636421200
dc.authorwosidŞenol Pişkin / JYJ-0063-2024
dc.contributor.authorPişkin, Şenol
dc.contributor.authorPatnaik, Sourav S.
dc.contributor.authorHan, David
dc.contributor.authorBordones, Alifer D.
dc.contributor.authorMurali, Srinivas
dc.contributor.authorFinol, Ender A.
dc.date.accessioned2020-08-30T20:06:14Z
dc.date.available2020-08-30T20:06:14Z
dc.date.issued2020
dc.departmentİstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Makine Mühendisliği Bölümüen_US
dc.descriptionPişkin, Şenol (isu author)
dc.descriptionPiskin, Senol/0000-0002-8799-9472; Patnaik, Sourav/0000-0001-7457-8604en_US
dc.description.abstractPulmonary hypertension (PH) is a progressive disease affecting approximately 10-52 cases per million, with a higher incidence in women, and with a high mortality associated with right ventricle (RV) failure. In this work, we explore the relationship between hemodynamic indices, calculated from in silico models of the pulmonary circulation, and clinical attributes of RV workload and pathological traits. Thirty-four patient-specific pulmonary arterial tree geometries were reconstructed from computed tomography angiography images and used for volume meshing for subsequent computational fluid dynamics (CFD) simulations. Data obtained from the CFD simulations were post-processed resulting in hemodynamic indices representative of the blood flow dynamics. A retrospective review of medical records was performed to collect the clinical variables measured or calculated from standard hospital examinations. Statistical analyses and canonical correlation analysis (CCA) were performed for the clinical variables and hemodynamic indices. Systolic pulmonary artery pressure (sPAP), diastolic pulmonary artery pressure (dPAP), cardiac output (CO), and stroke volume (SV) were moderately correlated with spatially averaged wall shear stress (0.60 <= R-2 <= 0.66; p < 0.05). Similarly, the CCA revealed a linear and strong relationship (rho = 0.87; p << 0.001) between 5 clinical variables and 2 hemodynamic indices. To this end, in silico models of PH blood flow dynamics have a high potential for predicting the relevant clinical attributes of PH if analyzed in a group-wise manner using CCA. (C) 2020 IPEM. Published by Elsevier Ltd. All rights reserved.en_US
dc.description.sponsorshipNational Institutes of Health (NIH) awardUnited States Department of Health & Human ServicesNational Institutes of Health (NIH) - USA [R01HL121293]; American Heart Association (AHA)American Heart Association [14GRNT19020017]; Scientific and Technological Research Council of Turkey (TUBITAK)Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [2219 - 1059B191501944]en_US
dc.description.sponsorshipEnder Finol acknowledges research funding from National Institutes of Health (NIH) award R01HL121293 and American Heart Association (AHA) award 14GRNT19020017. Senol Piskin acknowledges research funding from The Scientific and Technological Research Council of Turkey (TUBITAK) award 2219 - 1059B191501944. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH, AHA, or TUBITAK.en_US
dc.identifier.citationPiskin, S., Patnaik, S. S., Han, D., Bordones, A. D., Murali, S., & Finol, E. A. (2020). A canonical correlation analysis of the relationship between clinical attributes and patient-specific hemodynamic indices in adult pulmonary hypertension. Medical Engineering & Physics, 77, 1-9.en_US
dc.identifier.doi10.1016/j.medengphy.2020.01.006en_US
dc.identifier.endpage9en_US
dc.identifier.issn1350-4533en_US
dc.identifier.issn1873-4030en_US
dc.identifier.pmid32007361en_US
dc.identifier.scopus2-s2.0-85078766890en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage1en_US
dc.identifier.urihttps://doi.org/10.1016/j.medengphy.2020.01.006
dc.identifier.urihttps://hdl.handle.net/20.500.12713/437
dc.identifier.volume77en_US
dc.identifier.wosWOS:000520021600001en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.institutionauthorPişkin, Şenolen_US
dc.language.isoenen_US
dc.publisherElsevier Sci Ltden_US
dc.relation.ispartofMedical Engineering & Physicsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectWall Shear Stressen_US
dc.subjectPulmonary Vascular Resistanceen_US
dc.subjectBlood Damageen_US
dc.subjectComputational Fluid Dynamicsen_US
dc.subjectPulmonary Complianceen_US
dc.titleA canonical correlation analysis of the relationship between clinical attributes and patient-specific hemodynamic indices in adult pulmonary hypertensionen_US
dc.typeArticleen_US

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