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Published on: January 8, 2013
Personalising cardiovascular network models in pregnancy: A two-tiered parameter estimation approach
Jason Carson1,2,3, Lynne Warrander4, Edward Johnstone4
1Zienkiewicz Centre for Computational Engineering, College of Engineering, Swansea University, Swansea, UK.
Summary
This study models uterine artery Doppler waveforms using a pregnancy model to predict pre-eclampsia risk. Accurate arterial stiffness estimation requires pulse pressure and pulse wave velocity, with pre-eclampsia linked to larger systemic artery areas.
Area of Science:
- Cardiovascular Physiology
- Maternal-Fetal Medicine
- Biomedical Engineering
Background:
- Uterine artery Doppler waveforms are crucial for assessing pre-eclampsia risk.
- Existing waveform indices aim to reflect placental resistance and arterial stiffness.
- Understanding maternal cardiovascular adaptations during pregnancy is vital.
Purpose of the Study:
- To compare patient uterine Doppler waveforms with a validated, extended closed-loop pregnancy model.
- To enhance the model's parameter estimation for personalized predictions.
- To investigate the relationship between cardiovascular parameters and pre-eclampsia development.
Main Methods:
- Utilized a comprehensive closed-loop pregnancy model with improved parameter estimation.
- Incorporated measurements of blood pressure, cardiac output, heart rate, and pulse wave velocity.
- Adapted systemic arterial resistances, compliances, blood volume, and vessel areas within the model.
Main Results:
- Model-predicted uterine artery velocity waveforms closely matched patient data.
- Personalized models enabled prediction of uterine pressure waveforms, facilitating detailed analysis.
- Accurate arterial stiffness estimation necessitates both pulse pressure and pulse wave velocity.
Conclusions:
- The enhanced model provides a robust tool for mechanistic analysis of uterine waveforms.
- Patients developing pre-eclampsia showed larger systemic artery areas compared to normal pregnancies.
- This approach offers deeper insights into cardiovascular changes associated with pregnancy pathologies.
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