M.P. Mulder MSc (Marijn)

Medicine & Life Sciences

# Arterial Pressure
# Cardiovascular Models
# Computer Simulation
# Hemodynamics
# Hypotension
# Machine Learning
# Principal Component Analysis
# Randomized Controlled Trials

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

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 2022, Porto.

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

Mulder, M. P., Broomé, M. , Donker, D. W. , & Westerhof, B. E. (2021). Simulated arterial blood pressure tracing reveal preload, contractility and afterload deficient hemodynamic instability. Poster session presented at ESICM 34th Annual Congress, LIVES 2021. https://doi.org/0.1186/1475-925X-12-69

Mulder, M., Broomé, M. , Donker, D. , & Westerhof, B. (2021). Distinct waveforms of peripheral arterial blood pressure tracings reveal preload‑, cardiac contractility‑ and afterload‑ defcient hemodynamic instability: an in‑silico simulation study. Intensive Care Medicine Experimental, 9(Supplement 1), 56-57. [000811]. https://doi.org/10.1186/s40635-021-00413-8

Wijnberge, M., Geerts, B. F., Hol, L., Lemmers, N. , Mulder, M. P., Berge, P., Schenk, J., Terwindt, L. E., Hollmann, M. W., Vlaar, A. P., & Veelo, D. P. (2020). Effect of a Machine Learning-Derived Early Warning System for Intraoperative Hypotension vs Standard Care on Depth and Duration of Intraoperative Hypotension during Elective Noncardiac Surgery: The HYPE Randomized Clinical Trial. JAMA - Journal of the American Medical Association, 323(11), 1052-1060. https://doi.org/10.1001/jama.2020.0592

Wijnberge, M., Schenk, J., Terwindt, L. E. , Mulder, M. P., Hollmann, M. W., Vlaar, A. P., Veelo, D. P., & Geerts, B. F. (2019). The use of a machine-learning algorithm that predicts hypotension during surgery in combination with personalized treatment guidance: Study protocol for a randomized clinical trial. Trials, 20(1), [582]. https://doi.org/10.1186/s13063-019-3637-4

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Technical Medicine

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Technical Medicine

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