دورية أكاديمية
Incorporating pulse wave velocity into model-based pulse contour analysis method for estimation of cardiac stroke volume
| العنوان: | Incorporating pulse wave velocity into model-based pulse contour analysis method for estimation of cardiac stroke volume |
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| المؤلفون: | Smith, R., Balmer, J., Pretty, C. G., Mehta-Wilson, T., Desaive, Thomas, Shaw, G. M., Chase, J. G. |
| المصدر: | Computer Methods and Programs in Biomedicine, 195 (2020) |
| بيانات النشر: | Elsevier Ireland Ltd, 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | Cardiac output, Hemodynamic monitoring, Intensive care, Pressure contour analysis, Pulse contour analysis, Pulse wave velocity, Stroke volume, Windkessel model, Acoustic wave velocity, Hemodynamics, Mammals, Water hammer, Wave propagation, Characteristic impedance, Critically-ill patients, Hemodynamic changes, Hemodynamic instability, Percentage error, Pulse-contour analysis, Water hammer equations, Parameter estimation, Human health sciences, Anesthesia & intensive care, Sciences de la santé humaine, Anesthésie & soins intensifs |
| الوصف: | Background and Objectives:Stroke volume (SV) and cardiac output (CO) are important metrics for hemodynamic management of critically ill patients. Clinically available devices to continuously monitor these metrics are invasive, and less invasive methods perform poorly during hemodynamic instability. Pulse wave velocity (PWV) could potentially improve estimation of SV and CO by providing information on changing vascular tone. This study investigates whether using PWV for parameter identification of a model-based pulse contour analysis method improves SV estimation accuracy. Methods: Three implementations of a 3-element windkessel pulse contour analysis model are compared: constant-Z, water hammer, and Bramwell-Hill methods. Each implementation identifies the characteristic impedance parameter (Z) differently. The first method identifies Z statically and does not use PWV, and the latter two methods use PWV to dynamically update Z. Accuracy of SV estimation is tested in an animal trial, where interventions induce severe hemodynamic changes in 5 pigs. Model-predicted SV is compared to SV measured using an aortic flow probe. Results: SV percentage error had median bias and [(IQR); (2.5th, 97.5th percentiles)] of -0.5% [(-6.1%, 4.7%); (-50.3%, +24.1%)] for the constant-Z method, 0.6% [(-4.9%, 6.2%); (-43.4%, +29.3%)] for the water hammer method, and 0.8% [(-6.5, 8.6); (-37.1%, +47.6%)] for the Bramwell-Hill method. Conclusion: Incorporating PWV for dynamic Z parameter identification through either the Bramwell-Hill equation or the water hammer equation does not appreciably improve the 3-element windkessel pulse contour analysis model's prediction of SV during hemodynamic changes compared to the constant-Z method. © 2020 |
| نوع الوثيقة: | journal article http://purl.org/coar/resource_type/c_6501Test article |
| اللغة: | English |
| العلاقة: | urn:issn:0169-2607; urn:issn:1872-7565 |
| DOI: | 10.1016/j.cmpb.2020.105553 |
| الوصول الحر: | https://orbi.uliege.be/handle/2268/248356Test |
| حقوق: | open access http://purl.org/coar/access_right/c_abf2Test info:eu-repo/semantics/openAccess |
| رقم الانضمام: | edsorb.248356 |
| قاعدة البيانات: | ORBi |
| DOI: | 10.1016/j.cmpb.2020.105553 |
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