M. Wijnberge

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Guidelines seek unbiased recommendations

G. Guyatt, M. Antonelli, T. Walsh, 2020, Intensive Care Medicine.

One of the first validations of an artificial intelligence algorithm for clinical use: The impact on intraoperative hypotension prediction and clinical decision-making.

A. Vlaar, B. V. D. van der Ster, M. Wijnberge, 2020, Surgery.

Defining human mean circulatory filling pressure in the Intensive Care Unit.

M. Pinsky, J. Jansen, A. Vlaar, 2020, Journal of applied physiology.

Transfusion strategies in bleeding critically ill adults: a clinical practice guideline from the European Society of Intensive Care Medicine

M. Antonelli, J. Duranteau, H. Schöchl, 2021, Intensive Care Medicine.

Tranexamic Acid in Gastrointestinal Bleeding: A Systematic Review and Meta-Analysis

M. Antonelli, B. Hunt, A. Vlaar, 2021, Critical care medicine.

Erythropoiesis‐stimulating agents as replacement therapy for blood transfusions in critically ill patients with anaemia: A systematic review with meta‐analysis

M. Cecconi, A. Vlaar, S. Oczkowski, 2020, Transfusion medicine.

Transfusion strategies in non-bleeding critically ill adults: a clinical practice guideline from the European Society of Intensive Care Medicine

G. Guyatt, M. Antonelli, T. Walsh, 2020, Intensive Care Medicine.

Treating critically ill anemic patients with erythropoietin: less is more

A. Vlaar, S. Oczkowski, C. Aubron, 2020, Intensive Care Medicine.

Patient blood management in the cardiac surgical setting: An updated overview.

A. Driessen, A. Vlaar, M. Hollmann, 2019, Transfusion and apheresis science : official journal of the World Apheresis Association : official journal of the European Society for Haemapheresis.

Coagulation and fibrinolysis in hyperparathyroidism secondary to vitamin D deficiency

E. Fliers, V. Gerdes, J. Meijers, 2018, Endocrine connections.

Autologous red blood cell transfusion does not result in a more profound increase in pulmonary capillary wedge pressure compared to saline in critically ill patients: A randomized crossover trial

A. Driessen, M. Hollmann, A. Vlaar, 2022, Vox sanguinis.

Tranexamic Acid in Gastrointestinal Bleeding: A Systematic Review and Meta-Analysis

M. Antonelli, B. Hunt, A. Vlaar, 2020, Critical care medicine.

Estimating mean circulatory filling pressure in clinical practice: a systematic review comparing three bedside methods in the critically ill

M. Pinsky, J. Jansen, A. Vlaar, 2018, Annals of Intensive Care.

Differential effects of speed and volume on transfusion‐associated circulatory overload: A randomized study in rats

N. Juffermans, J. Roelofs, R. van Bruggen, 2021, Vox sanguinis.

The Effect of Intermittent versus Continuous Non-Invasive Blood Pressure Monitoring on the Detection of Intraoperative Hypotension, a Sub-Study

A. Vlaar, M. Hollmann, B. V. D. van der Ster, 2022, Journal of clinical medicine.

Performance of a machine-learning algorithm to predict hypotension in mechanically ventilated patients with COVID-19 admitted to the intensive care unit: a cohort study

A. Vlaar, B. V. D. van der Ster, M. Wijnberge, 2021, Journal of Clinical Monitoring and Computing.

Unusual presentation of a late-onset recurrence of malignant peritoneal mesothelioma

J. Winkelhagen, M. Wijnberge, L. Daniels, 2017, BMJ Case Reports.

Effect of Hypotension Prediction Index-guided intraoperative haemodynamic care on depth and duration of postoperative hypotension: a sub-study of the Hypotension Prediction trial.

J. Maaskant, A. Vlaar, M. Hollmann, 2021, British journal of anaesthesia.

The utility of thromboelastography and thrombin generation in assessing the prothrombotic state of adults with sickle cell disease.

A. Cohen, B. Hunt, J. Howard, 2017, Thrombosis research.

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.

M. P. Mulder, A. Vlaar, M. Hollmann, 2020, JAMA.

Clinical performance of a machine-learning algorithm to predict intra-operative hypotension with noninvasive arterial pressure waveforms

A. Vlaar, M. Hollmann, B. V. D. van der Ster, 2021, European journal of anaesthesiology.

Association of intraoperative hypotension with postoperative morbidity and mortality: systematic review and meta-analysis

J. Binnekade, A. Vlaar, M. Hollmann, 2021, BJS open.

Non-invasive cardiac output monitoring techniques in the ICU

A. Vlaar, M. Wijnberge, D. Veelo, 2018 .

Incidence, Severity and Clinical Factors Associated with Hypotension in Patients Admitted to an Intensive Care Unit: A Prospective Observational Study

M. P. Mulder, W. Lagrand, T. Cherpanath, 2022, Journal of clinical medicine.

Storage of red blood cells in alkaline PAGGGM improves metabolism but has no effect on recovery after transfusion

J. Reisz, R. van Bruggen, A. Vlaar, 2022, Blood advances.

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

M. P. Mulder, A. Vlaar, M. Hollmann, 2019, Trials.

Restrictive versus conventional ward fluid therapy in non-cardiac surgery patients and the effect on postoperative complications: a meta-analysis

A. Vlaar, M. Hollmann, M. Wijnberge, 2023, Perioperative Medicine.

Performance of a Machine Learning Algorithm to Predict Hypotension in Spontaneously Breathing Non-Ventilated Post-Anesthesia and ICU Patients

M. Wijnberge, D. Veelo, Santino R. Rellum, 2024, Journal of personalized medicine.

Feasibility to estimate mean systemic filling pressure with inspiratory holds at the bedside

M. Pinsky, J. Jansen, M. Wijnberge, 2022, Frontiers in Physiology.