Technohal

M.P. Mulder MSc (Marijn)

Klinisch technoloog | Docent & Promovendus
TNW-BIS-CRPH
Technohal 3184
m.p.mulder-1@utwente.nl
+31534895625
Visitekaartje

Expertises

  • Medicine and Dentistry

    • Systematic Review
    • Hypotension
    • Mean Arterial Pressure
    • Noncardiac Surgery
    • Hemodynamic
    • Observational Study
    • Learning
    • Randomized Clinical Trial

Organisaties

Publicaties

2026

Computational physiological models for hemodynamic management in critical care: a systematic literature review focusing on model design, credibility and clinical readiness (2026)Computers in biology and medicine, 205. Article 111561 (E-pub ahead of print/First online). Mulder, M. P., Warnaar, R. S. P., Arendshorst-Ruuls, T. F., van Loon, L. M., Meuwese, C. L., Broomé, M., Oppersma, E., Donker, D. W. & Fresiello, L.https://doi.org/10.1016/j.compbiomed.2026.111561Comparison of a mean arterial pressure alarm to the hypotension prediction index in preventing intraoperative hypotension in elective moderate- to high-risk non-cardiac surgical patients: A study protocol for a blinded, parallel, randomized controlled trial with a non-inferiority framework (2026)Trials, 27(1). Article 104 (E-pub ahead of print/First online). Mulder, M. P., Florax, A. A., Harmannij-Markusse, M., Fresiello, L., Donker, D. W. & Potters, J.-W.https://doi.org/10.1186/s13063-025-09389-2

2025

Challenges in zero-flow blood pressure as a measure of mean circulatory filling pressure: Experimental and computational perspectives (2025)Physiological Reports, 13(19), e70599. Article e70599. van Loon, L. M., Mulder, M. P., Dort, D. I. M., van der Hoeven, J. G., Donker, D. W. & Lemson, J.https://doi.org/10.14814/phy2.70599Context-specific clinical applicability of the end-expiratory occlusion test to predict fluid responsiveness in mechanically ventilated patients: A systematic review and meta-analysis (2025)European journal of anaesthesiology, 42(8), 737-746. Mulder, M. P., Potters, J.-W., van Loon, L. M., Rumindo, K., Hallbäck, M., Maksuti, E., Donker, D. W. & Diez, C.https://doi.org/10.1097/EJA.0000000000002181AI for the hemodynamic assessment of critically ill and surgical patients: focus on clinical applications (2025)Annals of Intensive Care, 15(1). Article 26. Michard, F., Mulder, M. P., Gonzalez, F. & Sanfilippo, F.https://doi.org/10.1186/s13613-025-01448-w

2024

Machine learning can predict post‑induction hypotension in a general surgical population with excellent performance (2024)Intensive Care Medicine Experimental, 12, 175-175. Article 87. van Dalen, E. M., Mulder, M. P., Donker, D. W. & Potters, J.-W.https://doi.org/10.1186/s40635-024-00658-zHypotension Prediction Index Is Equally Effective in Predicting Intraoperative Hypotension during Noncardiac Surgery Compared to a Mean Arterial Pressure Threshold: A Prospective Observational Study (2024)Anesthesiology, 141(3), 453-462. Mulder, M. P., Harmannij-Markusse, M., Fresiello, L., Donker, D. W. & Potters, J.-W.https://doi.org/10.1097/ALN.0000000000004990Additional file 5 of Computational physiological models for individualised mechanical ventilation: a systematic literature review focussing on quality, availability, and clinical readiness (2024)[Dataset Types › Dataset]. figshare. Warnaar, R. S. P., Mulder, M. P., Fresiello, L., Cornet, A. D., Heunks, L. M. A., Donker, D. W. & Mos-Oppersma, E.https://doi.org/10.6084/m9.figshare.26602660Additional file 6 of Computational physiological models for individualised mechanical ventilation: a systematic literature review focussing on quality, availability, and clinical readiness (2024)[Dataset Types › Dataset]. figshare. Warnaar, R. S. P., Mulder, M. P., Fresiello, L., Cornet, A. D., Heunks, L. M. A., Donker, D. W. & Mos-Oppersma, E.https://doi.org/10.6084/m9.figshare.26602663The Hypotension Prediction Index and concurrent Mean Arterial Pressure are comparable in predicting intraoperative hypotension: an observational study in non-cardiac surgery patients (2024)[Contribution to conference › Poster] Euroanesthesia, EA 2024 . Mulder, M. P.

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