No Cover Image

Journal article 958 views 136 downloads

Personalising cardiovascular network models in pregnancy: A two‐tiered parameter estimation approach

Jason Carson Orcid Logo, Lynne Warrander, Edward Johnstone, Raoul van Loon Orcid Logo

International Journal for Numerical Methods in Biomedical Engineering

Swansea University Authors: Jason Carson Orcid Logo, Raoul van Loon Orcid Logo

  • 52055.pdf

    PDF | Version of Record

    Released under the terms of a Creative Commons Attribution License (CC-BY).

    Download (3.23MB)

Check full text

DOI (Published version): 10.1002/cnm.3267

Abstract

Uterine artery Doppler waveforms are often studied to determine whether a patient is at risk of developing pathologies such as pre-eclampsia. Many uterine waveform indices have been developed, which attempt to relate characteristics of the waveform with the physiological adaptation of the maternal c...

Full description

Published in: International Journal for Numerical Methods in Biomedical Engineering
ISSN: 2040-7939 2040-7947
Published: Wiley 2020
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa52055
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2019-09-24T14:19:24Z
last_indexed 2023-01-11T14:29:02Z
id cronfa52055
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2022-10-31T18:07:16.0314972</datestamp><bib-version>v2</bib-version><id>52055</id><entry>2019-09-24</entry><title>Personalising cardiovascular network models in pregnancy: A two&#x2010;tiered parameter estimation approach</title><swanseaauthors><author><sid>c1f2c28fbe6a41c5134b45abde5abb93</sid><ORCID>0000-0001-6634-9123</ORCID><firstname>Jason</firstname><surname>Carson</surname><name>Jason Carson</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>880b30f90841a022f1e5bac32fb12193</sid><ORCID>0000-0003-3581-5827</ORCID><firstname>Raoul</firstname><surname>van Loon</surname><name>Raoul van Loon</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2019-09-24</date><deptcode>MEDE</deptcode><abstract>Uterine artery Doppler waveforms are often studied to determine whether a patient is at risk of developing pathologies such as pre-eclampsia. Many uterine waveform indices have been developed, which attempt to relate characteristics of the waveform with the physiological adaptation of the maternal cardiovascular system, and are often suggested to be an indicator of increased placenta resistance and arterial stiffness.Dopplerwaveforms of four patients, two of whom developed pre-eclampsia, are compared with a comprehensive closed-loop model of pregnancy. The closed-loop model has been previously validated, but has been extended to include an improved parameter estimation technique that utilises systolic and diastolic blood pressure, cardiac output, heart rate, and pulse wave velocity measurements to adapt model resistances, compliances, blood volume, and the mean vessel areas in the main systemic arteries. The shape of the model-predicted uterine artery velocity waveforms showed good agreement with the characteristics observed in the patient Doppler waveforms. The personalised models obtained now allow a prediction of the uterine pressure waveforms in addition to the uterine velocity. This allows for a more detailed mechanistic analysis of the waveforms, e.g. wave intensity analysis, to study existing clinical indices. The findings indicate that to accurately estimate arterial stiffness, both pulse pressure and pulse wave velocities are required. In addition the results predict that patients who developed pre-eclampsia later in pregnancy have larger vessel areas in the main systemic arteries compared to the two patients who had normal pregnancy outcomes.</abstract><type>Journal Article</type><journal>International Journal for Numerical Methods in Biomedical Engineering</journal><volume>0</volume><journalNumber/><paginationStart/><paginationEnd/><publisher>Wiley</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>2040-7939</issnPrint><issnElectronic>2040-7947</issnElectronic><keywords>parameter estimation, personalised haemodynamic model, pre-eclampsia, pregnancy, uterine artery waveform</keywords><publishedDay>13</publishedDay><publishedMonth>1</publishedMonth><publishedYear>2020</publishedYear><publishedDate>2020-01-13</publishedDate><doi>10.1002/cnm.3267</doi><url/><notes/><college>COLLEGE NANME</college><department>Biomedical Engineering</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>MEDE</DepartmentCode><institution>Swansea University</institution><apcterm>SU College/Department paid the OA fee</apcterm><funders>UKRI, MRC</funders><projectreference>MR/S004076/1</projectreference><lastEdited>2022-10-31T18:07:16.0314972</lastEdited><Created>2019-09-24T12:01:33.8883497</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Engineering and Applied Sciences - Biomedical Engineering</level></path><authors><author><firstname>Jason</firstname><surname>Carson</surname><orcid>0000-0001-6634-9123</orcid><order>1</order></author><author><firstname>Lynne</firstname><surname>Warrander</surname><order>2</order></author><author><firstname>Edward</firstname><surname>Johnstone</surname><order>3</order></author><author><firstname>Raoul</firstname><surname>van Loon</surname><orcid>0000-0003-3581-5827</orcid><order>4</order></author></authors><documents><document><filename>52055__16313__555f61e8bcbd47fabdc11848119e4e02.pdf</filename><originalFilename>52055.pdf</originalFilename><uploaded>2020-01-15T15:05:37.8117273</uploaded><type>Output</type><contentLength>3385216</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>Released under the terms of a Creative Commons Attribution License (CC-BY).</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>http://creativecommons.org/licenses/by/4.0/</licence></document></documents><OutputDurs/></rfc1807>
spelling 2022-10-31T18:07:16.0314972 v2 52055 2019-09-24 Personalising cardiovascular network models in pregnancy: A two‐tiered parameter estimation approach c1f2c28fbe6a41c5134b45abde5abb93 0000-0001-6634-9123 Jason Carson Jason Carson true false 880b30f90841a022f1e5bac32fb12193 0000-0003-3581-5827 Raoul van Loon Raoul van Loon true false 2019-09-24 MEDE Uterine artery Doppler waveforms are often studied to determine whether a patient is at risk of developing pathologies such as pre-eclampsia. Many uterine waveform indices have been developed, which attempt to relate characteristics of the waveform with the physiological adaptation of the maternal cardiovascular system, and are often suggested to be an indicator of increased placenta resistance and arterial stiffness.Dopplerwaveforms of four patients, two of whom developed pre-eclampsia, are compared with a comprehensive closed-loop model of pregnancy. The closed-loop model has been previously validated, but has been extended to include an improved parameter estimation technique that utilises systolic and diastolic blood pressure, cardiac output, heart rate, and pulse wave velocity measurements to adapt model resistances, compliances, blood volume, and the mean vessel areas in the main systemic arteries. The shape of the model-predicted uterine artery velocity waveforms showed good agreement with the characteristics observed in the patient Doppler waveforms. The personalised models obtained now allow a prediction of the uterine pressure waveforms in addition to the uterine velocity. This allows for a more detailed mechanistic analysis of the waveforms, e.g. wave intensity analysis, to study existing clinical indices. The findings indicate that to accurately estimate arterial stiffness, both pulse pressure and pulse wave velocities are required. In addition the results predict that patients who developed pre-eclampsia later in pregnancy have larger vessel areas in the main systemic arteries compared to the two patients who had normal pregnancy outcomes. Journal Article International Journal for Numerical Methods in Biomedical Engineering 0 Wiley 2040-7939 2040-7947 parameter estimation, personalised haemodynamic model, pre-eclampsia, pregnancy, uterine artery waveform 13 1 2020 2020-01-13 10.1002/cnm.3267 COLLEGE NANME Biomedical Engineering COLLEGE CODE MEDE Swansea University SU College/Department paid the OA fee UKRI, MRC MR/S004076/1 2022-10-31T18:07:16.0314972 2019-09-24T12:01:33.8883497 Faculty of Science and Engineering School of Engineering and Applied Sciences - Biomedical Engineering Jason Carson 0000-0001-6634-9123 1 Lynne Warrander 2 Edward Johnstone 3 Raoul van Loon 0000-0003-3581-5827 4 52055__16313__555f61e8bcbd47fabdc11848119e4e02.pdf 52055.pdf 2020-01-15T15:05:37.8117273 Output 3385216 application/pdf Version of Record true Released under the terms of a Creative Commons Attribution License (CC-BY). true eng http://creativecommons.org/licenses/by/4.0/
title Personalising cardiovascular network models in pregnancy: A two‐tiered parameter estimation approach
spellingShingle Personalising cardiovascular network models in pregnancy: A two‐tiered parameter estimation approach
Jason Carson
Raoul van Loon
title_short Personalising cardiovascular network models in pregnancy: A two‐tiered parameter estimation approach
title_full Personalising cardiovascular network models in pregnancy: A two‐tiered parameter estimation approach
title_fullStr Personalising cardiovascular network models in pregnancy: A two‐tiered parameter estimation approach
title_full_unstemmed Personalising cardiovascular network models in pregnancy: A two‐tiered parameter estimation approach
title_sort Personalising cardiovascular network models in pregnancy: A two‐tiered parameter estimation approach
author_id_str_mv c1f2c28fbe6a41c5134b45abde5abb93
880b30f90841a022f1e5bac32fb12193
author_id_fullname_str_mv c1f2c28fbe6a41c5134b45abde5abb93_***_Jason Carson
880b30f90841a022f1e5bac32fb12193_***_Raoul van Loon
author Jason Carson
Raoul van Loon
author2 Jason Carson
Lynne Warrander
Edward Johnstone
Raoul van Loon
format Journal article
container_title International Journal for Numerical Methods in Biomedical Engineering
container_volume 0
publishDate 2020
institution Swansea University
issn 2040-7939
2040-7947
doi_str_mv 10.1002/cnm.3267
publisher Wiley
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 - Biomedical Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Biomedical Engineering
document_store_str 1
active_str 0
description Uterine artery Doppler waveforms are often studied to determine whether a patient is at risk of developing pathologies such as pre-eclampsia. Many uterine waveform indices have been developed, which attempt to relate characteristics of the waveform with the physiological adaptation of the maternal cardiovascular system, and are often suggested to be an indicator of increased placenta resistance and arterial stiffness.Dopplerwaveforms of four patients, two of whom developed pre-eclampsia, are compared with a comprehensive closed-loop model of pregnancy. The closed-loop model has been previously validated, but has been extended to include an improved parameter estimation technique that utilises systolic and diastolic blood pressure, cardiac output, heart rate, and pulse wave velocity measurements to adapt model resistances, compliances, blood volume, and the mean vessel areas in the main systemic arteries. The shape of the model-predicted uterine artery velocity waveforms showed good agreement with the characteristics observed in the patient Doppler waveforms. The personalised models obtained now allow a prediction of the uterine pressure waveforms in addition to the uterine velocity. This allows for a more detailed mechanistic analysis of the waveforms, e.g. wave intensity analysis, to study existing clinical indices. The findings indicate that to accurately estimate arterial stiffness, both pulse pressure and pulse wave velocities are required. In addition the results predict that patients who developed pre-eclampsia later in pregnancy have larger vessel areas in the main systemic arteries compared to the two patients who had normal pregnancy outcomes.
published_date 2020-01-13T04:04:13Z
_version_ 1763753331941965824
score 11.016235

Similar Items