M.P. Mulder MSc (Marijn)

Medicine & Life Sciences

# Arterial Pressure
# Computer Simulation
# Hemodynamics
# Hypotension
# Intensive Care Units
# Machine Learning
# Observational Studies
# Randomized Controlled Trials

Faculty of Science and Technology (TNW), Cardiovascular and Respiratory Physiology (CRPH)

Warnaar, R. S. P. , Mulder, M. P. , Fresiello, L., Cornet, A. D., Heunks, L. M. A. , Donker, D. W. , & Oppersma, E. (2023). Computational physiological models for individualised mechanical ventilation: a systematic literature review focussing on quality, availability, and clinical readiness. Critical care, 27(1), [268]. https://doi.org/10.1186/s13054-023-04549-9

Mulder, M. P. (2023). A computational platform for virtual patient trials of fluid responsiveness prediction in septic shock phenotypes. Poster session presented at ESICM LIVES Forum Conference 2023, Utrecht, Netherlands.

Warnaar, R. , Mulder, M. P. , Fresiello, L., Cornet, A. D., Heunks, L. M. A. , Donker, D. W. , & Oppersma, E. (2023). Clinical readiness of virtual patient models for individualised mechanical ventilation: a systematic literature review. Poster session presented at ESICM LIVES Forum Conference 2023, Utrecht, Netherlands.

Alastruey, J., Charlton, P. H., Bikia, V., Paliakaite, B., Hametner, B., Bruno, R. M. , Mulder, M. P., Vennin, S., Piskin, S., Khir, A. W., Guala, A., Mayer, C. C., Mynard, J., Hughes, A. D., Segers, P. , & Westerhof, B. E. (2023). Arterial pulse wave modeling and analysis for vascular-age studies: a review from VascAgeNet. American Journal of Physiology - Heart and Circulatory Physiology, 325(1), H1-H29. https://doi.org/10.1152/ajpheart.00705.2022

Mulder, M. P. , Fresiello, L., Rumindo, K., Jalde, F., Hallbäck, M., Maksuti, E. , & Donker, D. W. (Accepted/In press). A computational platform for virtual patient trials of fluid responsiveness prediction in septic shock phenotypes. Abstract from ESICM LIVES Forum Conference 2023, Utrecht, Netherlands.

Mulder, M. P., Harmannij-Markusse, M. , Donker, D. W. , Fresiello, L., & Potters, J-W. (2023). Is Continuous Intraoperative Monitoring of Mean Arterial Pressure as Good as the Hypotension Prediction Index Algorithm? Research Letter. Anesthesiology, 138(6), 657-658. https://doi.org/10.1097/ALN.0000000000004541

Terwindt, L. E., Schuurmans, J., van der Ster, B. J. P., Wensing, C. A. G. C. L. , Mulder, M. P., Wijnberge, M., Cherpanath, T. G. V., Lagrand, W. K., Karlas, A. A., Verlinde, M. H., Hollmann, M. H., Geerts, B. F., Veelo, D. P., & Vlaar, A. P. J. (2022). Incidence, Severity and Clinical Factors Associated with Hypotension in Patients Admitted to an Intensive Care Unit: A Prospective Observational Study. Journal of Clinical Medicine, 11(22), 1-13. [6832]. https://doi.org/10.3390/jcm11226832

Mulder, M. P. , Fresiello, L. , & Donker, D. W. (2022). Computational models for hemodynamic management in critically ill patients: a systematic review. 10. Abstract from Virtual Physiological Human Conference, VPH 2022, Porto, Portugal.

Mulder, M. P., Broomé, M. , Donker, D. W. , & Westerhof, B. E. (2022). In silico arterial waveforms reveal hemodynamic deficiencies. Poster session presented at TechMed Research Day 2022, Enschede, Netherlands.

Mulder, M. P., Broomé, M. , Donker, D. W. , & Westerhof, B. E. (2022). Distinct morphologies of arterial waveforms reveal preload-, contractility-, and afterload-deficient hemodynamic instability: An in silico simulation study. Physiological Reports, 10(7), e15242. [e15242]. https://doi.org/10.14814/phy2.15242

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