Our Focus
Our research focuses on cardiovascular and cerebrovascular physiology in high-risk surgical and critically ill patients. We study hemodynamic physiology using advanced pulse wave analysis and machine learning models to predict instability and optimize perioperative outcomes, with particular expertise in hypotension management in anesthesia and intensive care.
Our translational program combines pre-clinical and clinical research on hemodynamic management in critical illness. This includes work on endothelial leakage, microcirculatory alterations during ECMO treatment, and optimization of bedside hemodynamic monitoring. We also examine variation in clinical practice and its impact on patient outcomes. In addition, we investigate non-invasive quantification of static and dynamic cerebral autoregulation during surgery to improve brain protection during hemodynamic fluctuations.
Using continuous blood pressure waveform analysis, we develop tools to enhance diagnosis during hemodynamic instability and enable earlier detection of vascular abnormalities. Beyond research, we emphasize education, implementation, and innovation. Our work promotes evidence-based decision-making, develops new monitoring strategies, and explores nurse-driven approaches to hemodynamic care that enhance autonomy and treatment efficiency.
Recent key publications
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, 323(11), 1052–1060. https://doi.org/10.1001/jama.2020.0592
Hypotension during intensive care stay and mortality and morbidity: a systematic review and meta-analysis.
Intensive care medicine, 50(4), 516–525. https://doi.org/10.1007/s00134-023-07304-4
Proactive vs Reactive Treatment of Hypotension During Surgery: The PRETREAT Randomized Clinical Trial.
JAMA, 334(21), 1905–1914. https://doi.org/10.1001/jama.2025.18007
The association between venous excess ultrasound grading system (VExUS) and major adverse kidney events after 30 days in critically ill patients: A prospective cohort study.
Journal of critical care, 88, 155097. https://doi.org/10.1016/j.jcrc.2025.155097
Effect of a Machine Learning-Derived Early Warning Tool With Treatment Protocol on Hypotension During Cardiac Surgery and ICU Stay: The Hypotension Prediction 2 (HYPE-2) Randomized Clinical Trial.
Critical care medicine, 53(2), e328–e340. https://doi.org/10.1097/CCM.0000000000006518
Cerebral hemodynamics during sustained intraoperative hypotension.
Journal of applied physiology (Bethesda, Md. : 1985), 132(6), 1560–1568. https://doi.org/10.1152/japplphysiol.00050.2022