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Santino R Rellum

Showing results (1-10 of 10) with videos related to

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Critical Care Medicine|June 3, 2025
The authors replyJaap Schuurmans, Santino R Rellum, Denise P Veelo, et al.
Transfusion Medicine (Oxford, England)|September 16, 2020
Erythropoiesis-stimulating agents as replacement therapy for blood transfusions in critically ill patients with anaemia: A systematic review with meta-analysisMarije Wijnberge, Santino R Rellum, Sanne de Bruin, et al.
European Journal of Anaesthesiology|October 16, 2024
A comparison between invasive and noninvasive measurement of the Hypotension Prediction Index: A post hoc analysis of a prospective cohort studySantino R Rellum, Eline Kho, Jimmy Schenk, et al.
Journal of Thoracic Disease|January 24, 2022
Machine learning methods for perioperative anesthetic management in cardiac surgery patients: a scoping reviewSantino R Rellum, Jaap Schuurmans, Ward H van der Ven, et al.
European Journal of Anaesthesiology|February 27, 2025
The hypotension prediction index versus mean arterial pressure in predicting intraoperative hypotension: A clinical perspectiveSantino R Rellum, Sijm H Noteboom, Björn J P van der Ster, et al.
Australian Critical Care : Official Journal of the Confederation of Australian Critical Care Nurses|May 31, 2026
Knowledge, practices, and perceived barriers to nurse-driven hypotension management among intensive care unit nurses: A cross-sectional studyPierette P C H Oomes, Monique Groot, Jaap Schuurmans, et al.
Journal of Personalized Medicine|February 23, 2024
Performance of a Machine Learning Algorithm to Predict Hypotension in Spontaneously Breathing Non-Ventilated Post-Anesthesia and ICU PatientsJohan T M Tol, Lotte E Terwindt, Santino R Rellum, et al.
Intensive Care Medicine|January 22, 2024
Hypotension during intensive care stay and mortality and morbidity: a systematic review and meta-analysisJaap Schuurmans, Benthe T B van Rossem, Santino R Rellum, et al.
BMJ Open|May 2, 2023
Effect of the machine learning-derived Hypotension Prediction Index (HPI) combined with diagnostic guidance versus standard care on depth and duration of intraoperative and postoperative hypotension in elective cardiac surgery patients: HYPE-2 - study protocol of a randomised clinical trialSantino R Rellum, Jaap Schuurmans, Jimmy Schenk, et al.
Critical Care Medicine|November 22, 2024
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 TrialJaap Schuurmans, Santino R Rellum, Jimmy Schenk, et al.
Pageof 1

Showing results (1-10 of 10) with videos related to

Sort By:
Pageof 1
Critical Care Medicine|June 3, 2025
The authors replyJaap Schuurmans, Santino R Rellum, Denise P Veelo, et al.
Transfusion Medicine (Oxford, England)|September 16, 2020
Erythropoiesis-stimulating agents as replacement therapy for blood transfusions in critically ill patients with anaemia: A systematic review with meta-analysisMarije Wijnberge, Santino R Rellum, Sanne de Bruin, et al.
European Journal of Anaesthesiology|October 16, 2024
A comparison between invasive and noninvasive measurement of the Hypotension Prediction Index: A post hoc analysis of a prospective cohort studySantino R Rellum, Eline Kho, Jimmy Schenk, et al.
Journal of Thoracic Disease|January 24, 2022
Machine learning methods for perioperative anesthetic management in cardiac surgery patients: a scoping reviewSantino R Rellum, Jaap Schuurmans, Ward H van der Ven, et al.
European Journal of Anaesthesiology|February 27, 2025
The hypotension prediction index versus mean arterial pressure in predicting intraoperative hypotension: A clinical perspectiveSantino R Rellum, Sijm H Noteboom, Björn J P van der Ster, et al.
Australian Critical Care : Official Journal of the Confederation of Australian Critical Care Nurses|May 31, 2026
Knowledge, practices, and perceived barriers to nurse-driven hypotension management among intensive care unit nurses: A cross-sectional studyPierette P C H Oomes, Monique Groot, Jaap Schuurmans, et al.
Journal of Personalized Medicine|February 23, 2024
Performance of a Machine Learning Algorithm to Predict Hypotension in Spontaneously Breathing Non-Ventilated Post-Anesthesia and ICU PatientsJohan T M Tol, Lotte E Terwindt, Santino R Rellum, et al.
Intensive Care Medicine|January 22, 2024
Hypotension during intensive care stay and mortality and morbidity: a systematic review and meta-analysisJaap Schuurmans, Benthe T B van Rossem, Santino R Rellum, et al.
BMJ Open|May 2, 2023
Effect of the machine learning-derived Hypotension Prediction Index (HPI) combined with diagnostic guidance versus standard care on depth and duration of intraoperative and postoperative hypotension in elective cardiac surgery patients: HYPE-2 - study protocol of a randomised clinical trialSantino R Rellum, Jaap Schuurmans, Jimmy Schenk, et al.
Critical Care Medicine|November 22, 2024
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 TrialJaap Schuurmans, Santino R Rellum, Jimmy Schenk, et al.
Pageof 1