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Development of a cardiovascular and lymphatic network model during human pregnancy

Jason M. Carson Orcid Logo

Swansea University Author: Jason M. Carson Orcid Logo

DOI (Published version): 10.23889/suthesis.50058

Abstract

The human physiology undergoes significant adaptation during pregnancy, partic-ularly within the cardiovascular system. Insufficient cardiovascular adaptation can lead to several serious pathologies which can affect the growth of the foetus, such as hypertension, hypotension, pre-eclampsia, and placenta...

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Published: Swansea Swansea University 2019
URI: https://cronfa.swan.ac.uk/Record/cronfa50058
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first_indexed 2019-04-23T14:33:40Z
last_indexed 2019-10-21T16:55:41Z
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fullrecord <?xml version="1.0"?><rfc1807><datestamp>2019-04-23T12:35:57.1200000</datestamp><bib-version>v2</bib-version><id>50058</id><entry>2019-04-23</entry><title>Development of a cardiovascular and lymphatic network model during human pregnancy</title><swanseaauthors><author><sid>d0fe636d559f9023182e4315c2940595</sid><ORCID>0000-0001-6634-9123</ORCID><firstname>Jason M.</firstname><surname>Carson</surname><name>Jason M. Carson</name><active>true</active><ethesisStudent>true</ethesisStudent></author></swanseaauthors><date>2019-04-23</date><abstract>The human physiology undergoes signi&#xFB01;cant adaptation during pregnancy, partic-ularly within the cardiovascular system. Insu&#xFB03;cient cardiovascular adaptation can lead to several serious pathologies which can a&#xFB00;ect the growth of the foetus, such as hypertension, hypotension, pre-eclampsia, and placental insu&#xFB03;ciency. Peripheral oedema occurs in the majority of woman over the course of a pregnancy, which is caused when the lymphatic system is unable to drain the excess &#xFB02;uid that has gathered in the interstitia.In order to provide a platform for modelling these pathologies, a comprehensive closed-loop 1D-0D cardiovascular network model of pregnancy is developed and presented in this thesis. The computational framework allows in-vivo measurement data, including pressures, cardiac output, and gestational week, to be integrated into the cardiovascular model. New numerical schemes are presented for reduced-order modelling of the cardiovascular system and the lymphatic system with a view to providing a platform for a coupled cardiovascular and lymphatic model.An automated parameter estimation technique is presented, which allows the integration of patient measurement data into the model through the iterative adap-tation of haemodynamic parameters, and could be utilised in a wide variety of cardiovascular pathology modelling.The pregnancy model is implemented using patient speci&#xFB01;c measurements and is extended to cover all gestational weeks for an idealised healthy pregnancy. The model solutions have shown good agreement with values from the literature for: the pulsatility index; pulse wave velocity; and &#xFB02;ow rate waveforms in the uterine arteries, which includes the presence of a notch that is used in the clinic to detect pathologies. A novel aspect of the model is in predicting the blood supply to the uterus via the uterine and utero-ovarian communicating arteries, which could be useful in a clinical setting. The model is expected to provide a platform for modelling various pathologies that can develop during pregnancy.</abstract><type>Thesis</type><journal/><volume/><journalNumber/><paginationStart/><paginationEnd/><publisher>Swansea University</publisher><placeOfPublication>Swansea</placeOfPublication><isbnPrint/><isbnElectronic/><issnPrint/><issnElectronic/><keywords>Haemodynamics, Modelling, Pregnancy, Cardiovascular, Lymphatics</keywords><publishedDay>31</publishedDay><publishedMonth>12</publishedMonth><publishedYear>2019</publishedYear><publishedDate>2019-12-31</publishedDate><doi>10.23889/suthesis.50058</doi><url/><notes/><college>COLLEGE NANME</college><department>College of Engineering</department><CollegeCode>COLLEGE CODE</CollegeCode><institution>Swansea University</institution><degreelevel>Doctoral</degreelevel><degreename>Ph.D</degreename><apcterm/><funders/><projectreference/><lastEdited>2022-12-18T09:51:14.9403287</lastEdited><Created>2019-04-23T12:04:48.8700787</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Engineering and Applied Sciences - Uncategorised</level></path><authors><author><firstname>Jason M.</firstname><surname>Carson</surname><orcid>0000-0001-6634-9123</orcid><order>1</order></author></authors><documents><document><filename>0050058-23042019123557.pdf</filename><originalFilename>Carson_Jason_M_PhD_Thesis_Final__.pdf</originalFilename><uploaded>2019-04-23T12:35:57.1200000</uploaded><type>Output</type><contentLength>10576259</contentLength><contentType>application/pdf</contentType><version>E-Thesis &#x2013; open access</version><cronfaStatus>true</cronfaStatus><embargoDate>2019-04-22T00:00:00.0000000</embargoDate><copyrightCorrect>true</copyrightCorrect></document></documents><OutputDurs/></rfc1807>
spelling 2019-04-23T12:35:57.1200000 v2 50058 2019-04-23 Development of a cardiovascular and lymphatic network model during human pregnancy d0fe636d559f9023182e4315c2940595 0000-0001-6634-9123 Jason M. Carson Jason M. Carson true true 2019-04-23 The human physiology undergoes significant adaptation during pregnancy, partic-ularly within the cardiovascular system. Insufficient cardiovascular adaptation can lead to several serious pathologies which can affect the growth of the foetus, such as hypertension, hypotension, pre-eclampsia, and placental insufficiency. Peripheral oedema occurs in the majority of woman over the course of a pregnancy, which is caused when the lymphatic system is unable to drain the excess fluid that has gathered in the interstitia.In order to provide a platform for modelling these pathologies, a comprehensive closed-loop 1D-0D cardiovascular network model of pregnancy is developed and presented in this thesis. The computational framework allows in-vivo measurement data, including pressures, cardiac output, and gestational week, to be integrated into the cardiovascular model. New numerical schemes are presented for reduced-order modelling of the cardiovascular system and the lymphatic system with a view to providing a platform for a coupled cardiovascular and lymphatic model.An automated parameter estimation technique is presented, which allows the integration of patient measurement data into the model through the iterative adap-tation of haemodynamic parameters, and could be utilised in a wide variety of cardiovascular pathology modelling.The pregnancy model is implemented using patient specific measurements and is extended to cover all gestational weeks for an idealised healthy pregnancy. The model solutions have shown good agreement with values from the literature for: the pulsatility index; pulse wave velocity; and flow rate waveforms in the uterine arteries, which includes the presence of a notch that is used in the clinic to detect pathologies. A novel aspect of the model is in predicting the blood supply to the uterus via the uterine and utero-ovarian communicating arteries, which could be useful in a clinical setting. The model is expected to provide a platform for modelling various pathologies that can develop during pregnancy. Thesis Swansea University Swansea Haemodynamics, Modelling, Pregnancy, Cardiovascular, Lymphatics 31 12 2019 2019-12-31 10.23889/suthesis.50058 COLLEGE NANME College of Engineering COLLEGE CODE Swansea University Doctoral Ph.D 2022-12-18T09:51:14.9403287 2019-04-23T12:04:48.8700787 Faculty of Science and Engineering School of Engineering and Applied Sciences - Uncategorised Jason M. Carson 0000-0001-6634-9123 1 0050058-23042019123557.pdf Carson_Jason_M_PhD_Thesis_Final__.pdf 2019-04-23T12:35:57.1200000 Output 10576259 application/pdf E-Thesis – open access true 2019-04-22T00:00:00.0000000 true
title Development of a cardiovascular and lymphatic network model during human pregnancy
spellingShingle Development of a cardiovascular and lymphatic network model during human pregnancy
Jason M. Carson
title_short Development of a cardiovascular and lymphatic network model during human pregnancy
title_full Development of a cardiovascular and lymphatic network model during human pregnancy
title_fullStr Development of a cardiovascular and lymphatic network model during human pregnancy
title_full_unstemmed Development of a cardiovascular and lymphatic network model during human pregnancy
title_sort Development of a cardiovascular and lymphatic network model during human pregnancy
author_id_str_mv d0fe636d559f9023182e4315c2940595
author_id_fullname_str_mv d0fe636d559f9023182e4315c2940595_***_Jason M. Carson
author Jason M. Carson
author2 Jason M. Carson
format Staff Thesis
publishDate 2019
institution Swansea University
doi_str_mv 10.23889/suthesis.50058
publisher Swansea University
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Engineering and Applied Sciences - Uncategorised{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Uncategorised
document_store_str 1
active_str 0
description The human physiology undergoes significant adaptation during pregnancy, partic-ularly within the cardiovascular system. Insufficient cardiovascular adaptation can lead to several serious pathologies which can affect the growth of the foetus, such as hypertension, hypotension, pre-eclampsia, and placental insufficiency. Peripheral oedema occurs in the majority of woman over the course of a pregnancy, which is caused when the lymphatic system is unable to drain the excess fluid that has gathered in the interstitia.In order to provide a platform for modelling these pathologies, a comprehensive closed-loop 1D-0D cardiovascular network model of pregnancy is developed and presented in this thesis. The computational framework allows in-vivo measurement data, including pressures, cardiac output, and gestational week, to be integrated into the cardiovascular model. New numerical schemes are presented for reduced-order modelling of the cardiovascular system and the lymphatic system with a view to providing a platform for a coupled cardiovascular and lymphatic model.An automated parameter estimation technique is presented, which allows the integration of patient measurement data into the model through the iterative adap-tation of haemodynamic parameters, and could be utilised in a wide variety of cardiovascular pathology modelling.The pregnancy model is implemented using patient specific measurements and is extended to cover all gestational weeks for an idealised healthy pregnancy. The model solutions have shown good agreement with values from the literature for: the pulsatility index; pulse wave velocity; and flow rate waveforms in the uterine arteries, which includes the presence of a notch that is used in the clinic to detect pathologies. A novel aspect of the model is in predicting the blood supply to the uterus via the uterine and utero-ovarian communicating arteries, which could be useful in a clinical setting. The model is expected to provide a platform for modelling various pathologies that can develop during pregnancy.
published_date 2019-12-31T04:01:21Z
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score 11.01288

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