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

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...

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Bibliographic Details
Main Authors: Carson, J. (Author), Johnstone, E. (Author), van Loon, R. (Author), Warrander, L. (Author)
Format: Article
Language:English
Published: John Wiley and Sons Inc 2021
Subjects:
Online Access:View Fulltext in Publisher
LEADER 03738nam a2200661Ia 4500
001 10.1002-cnm.3267
008 220427s2021 CNT 000 0 und d
020 |a 20407939 (ISSN) 
245 1 0 |a Personalising cardiovascular network models in pregnancy: A two-tiered parameter estimation approach 
260 0 |b John Wiley and Sons Inc  |c 2021 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1002/cnm.3267 
520 3 |a 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. Doppler waveforms 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, eg, 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 with the two patients who had normal pregnancy outcomes. © 2019 The Authors. International Journal for Numerical Methods in Biomedical Engineering published by John Wiley & Sons, Ltd. 
650 0 4 |a Acoustic wave velocity 
650 0 4 |a Arteries 
650 0 4 |a artery 
650 0 4 |a Blood 
650 0 4 |a blood flow velocity 
650 0 4 |a Blood Flow Velocity 
650 0 4 |a Blood pressure 
650 0 4 |a diagnostic imaging 
650 0 4 |a Doppler effect 
650 0 4 |a Doppler ultrasonography 
650 0 4 |a female 
650 0 4 |a Female 
650 0 4 |a Hemodynamics 
650 0 4 |a human 
650 0 4 |a Humans 
650 0 4 |a Mechanistic analysis 
650 0 4 |a Obstetrics 
650 0 4 |a parameter estimation 
650 0 4 |a Parameter estimation 
650 0 4 |a personalised haemodynamic model 
650 0 4 |a Physiological adaptations 
650 0 4 |a preeclampsia 
650 0 4 |a pre-eclampsia 
650 0 4 |a pre-eclampsia 
650 0 4 |a Pre-Eclampsia 
650 0 4 |a pregnancy 
650 0 4 |a pregnancy 
650 0 4 |a pregnancy 
650 0 4 |a Pregnancy 
650 0 4 |a pulse wave 
650 0 4 |a Pulse Wave Analysis 
650 0 4 |a Pulse wave velocity 
650 0 4 |a Stiffness 
650 0 4 |a Systolic and diastolic blood pressures 
650 0 4 |a Ultrasonography, Doppler 
650 0 4 |a uterine artery waveform 
650 0 4 |a uterus 
650 0 4 |a Uterus 
650 0 4 |a Wave forms 
650 0 4 |a Wave intensity analysis 
650 0 4 |a Wave propagation 
700 1 |a Carson, J.  |e author 
700 1 |a Johnstone, E.  |e author 
700 1 |a van Loon, R.  |e author 
700 1 |a Warrander, L.  |e author 
773 |t International Journal for Numerical Methods in Biomedical Engineering