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03738nam a2200661Ia 4500 |
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10.1002-cnm.3267 |
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220427s2021 CNT 000 0 und d |
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|a 20407939 (ISSN)
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|a Personalising cardiovascular network models in pregnancy: A two-tiered parameter estimation approach
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|b John Wiley and Sons Inc
|c 2021
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|z View Fulltext in Publisher
|u https://doi.org/10.1002/cnm.3267
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|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.
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|a Acoustic wave velocity
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|a Arteries
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|a artery
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|a Blood
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|a blood flow velocity
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|a Blood Flow Velocity
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|a Blood pressure
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|a diagnostic imaging
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|a Doppler effect
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|a Doppler ultrasonography
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|a female
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|a Female
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|a Hemodynamics
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|a human
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|a Humans
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|a Mechanistic analysis
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|a Obstetrics
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|a parameter estimation
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|a Parameter estimation
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|a personalised haemodynamic model
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|a Physiological adaptations
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|a preeclampsia
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|a pre-eclampsia
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|a pre-eclampsia
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|a Pre-Eclampsia
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|a pregnancy
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|a pregnancy
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|a pregnancy
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|a Pregnancy
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|a pulse wave
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|a Pulse Wave Analysis
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|a Pulse wave velocity
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|a Stiffness
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|a Systolic and diastolic blood pressures
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|a Ultrasonography, Doppler
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|a uterine artery waveform
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|a uterus
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|a Uterus
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|a Wave forms
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|a Wave intensity analysis
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|a Wave propagation
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|a Carson, J.
|e author
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|a Johnstone, E.
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|a van Loon, R.
|e author
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|a Warrander, L.
|e author
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|t International Journal for Numerical Methods in Biomedical Engineering
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