Michele Tonutti
Michele Tonutti has a total of 101 co-authors. Here are the top co-authors by number of shared publications:
- Alexander Daniel Cornet
Department of Intensive Care, Medisch Spectrum Twente, Enschede, The Netherlands
2 shared publications - Diederik Gommers
Erasmus MC
2 shared publications - Evert-Jan Wils
Department of Intensive Care, Franciscus Gasthuis & Vlietland, Rotterdam, The Netherlands
2 shared publications Guang-Zhong Yang
The Hamlyn Centre for Robotic Surgery, Imperial College London, SW7 2AZ London, United Kingdom
2 shared publications- Olaf L. Cremer
Department of Intensive Care Medicine, University Medical Center Utrecht, Utrecht, The Netherlands
2 shared publications - Rob J. Bosman
Intensive Care, OLVG, Amsterdam, The Netherlands
2 shared publications
Latest Publications
- Open Access
- 6 August 2022
- Published by Elsevier in Intelligence-Based Medicine
- Vol. 6, 100071
Dynamic prediction of mortality in COVID-19 patients in the intensive care unit: A retrospective multi-center cohort study
- 6 August 2022
- Published by Elsevier in Intelligence-Based Medicine
- Vol. 6, 100071
Open AccessDynamic prediction of mortality in COVID-19 patients in the intensive care unit: A retrospective multi-center cohort study
- Open Access
- 14 October 2021
- Published by Wolters Kluwer Health in Critical Care Explorations
- Vol. 3 (10) , e0555
Some Patients Are More Equal Than Others: Variation in Ventilator Settings for Coronavirus Disease 2019 Acute Respiratory Distress Syndrome
OBJECTIVES: As coronavirus disease 2019 is a novel disease, treatment strategies continue to be debated. This provides the intensive care community with a unique opportunity as the population of coronavirus disease 2019 patients requiring invasive mechanical ventilation is relatively homogeneous compared with other ICU populations. We hypothesize that the novelty of coronavirus disease 2019 and the uncertainty over its similarity with noncoronavirus disease 2019 acute respiratory distress syndrome resulted in substantial practice variation between hospitals during the first and second waves of coronavirus disease 2019 patients. DESIGN: Multicenter retrospective cohort study. SETTING: Twenty-five hospitals in the Netherlands from February 2020 to July 2020, and 14 hospitals from August 2020 to December 2020. PATIENTS: One thousand two hundred ninety-four critically ill intubated adult ICU patients with coronavirus disease 2019 were selected from the Dutch Data Warehouse. Patients intubated for less than 24 hours, transferred patients, and patients still admitted at the time of data extraction were excluded. MEASUREMENTS AND MAIN RESULTS: We aimed to estimate between-ICU practice variation in selected ventilation parameters (positive end-expiratory pressure, Fio2, set respiratory rate, tidal volume, minute volume, and percentage of time spent in a prone position) on days 1, 2, 3, and 7 of intubation, adjusted for patient characteristics as well as severity of illness based on Pao2/Fio2 ratio, pH, ventilatory ratio, and dynamic respiratory system compliance during controlled ventilation. Using multilevel linear mixed-effects modeling, we found significant (p ≤ 0.001) variation between ICUs in all ventilation parameters on days 1, 2, 3, and 7 of intubation for both waves. CONCLUSIONS: This is the first study to clearly demonstrate significant practice variation between ICUs related to mechanical ventilation parameters that are under direct control by intensivists. Their effect on clinical outcomes for both coronavirus disease 2019 and other critically ill mechanically ventilated patients could have widespread implications for the practice of intensive care medicine and should be investigated further by causal inference models and clinical trials.
- 14 October 2021
- Published by Wolters Kluwer Health in Critical Care Explorations
- Vol. 3 (10) , e0555
Open AccessSome Patients Are More Equal Than Others: Variation in Ventilator Settings for Coronavirus Disease 2019 Acute Respiratory Distress Syndrome
OBJECTIVES: As coronavirus disease 2019 is a novel disease, treatment strategies continue to be debated. This provides the intensive care community with a unique opportunity as the population of coronavirus disease 2019 patients requiring invasive mechanical ventilation is relatively homogeneous compared with other ICU populations. We hypothesize that the novelty of coronavirus disease 2019 and the uncertainty over its similarity with noncoronavirus disease 2019 acute respiratory distress syndrome resulted in substantial practice variation between hospitals during the first and second waves of coronavirus disease 2019 patients. DESIGN: Multicenter retrospective cohort study. SETTING: Twenty-five hospitals in the Netherlands from February 2020 to July 2020, and 14 hospitals from August 2020 to December 2020. PATIENTS: One thousand two hundred ninety-four critically ill intubated adult ICU patients with coronavirus disease 2019 were selected from the Dutch Data Warehouse. Patients intubated for less than 24 hours, transferred patients, and patients still admitted at the time of data extraction were excluded. MEASUREMENTS AND MAIN RESULTS: We aimed to estimate between-ICU practice variation in selected ventilation parameters (positive end-expiratory pressure, Fio2, set respiratory rate, tidal volume, minute volume, and percentage of time spent in a prone position) on days 1, 2, 3, and 7 of intubation, adjusted for patient characteristics as well as severity of illness based on Pao2/Fio2 ratio, pH, ventilatory ratio, and dynamic respiratory system compliance during controlled ventilation. Using multilevel linear mixed-effects modeling, we found significant (p ≤ 0.001) variation between ICUs in all ventilation parameters on days 1, 2, 3, and 7 of intubation for both waves. CONCLUSIONS: This is the first study to clearly demonstrate significant practice variation between ICUs related to mechanical ventilation parameters that are under direct control by intensivists. Their effect on clinical outcomes for both coronavirus disease 2019 and other critically ill mechanically ventilated patients could have widespread implications for the practice of intensive care medicine and should be investigated further by causal inference models and clinical trials.
- 1 May 2019
- Published by Elsevier in Robotics and Autonomous Systems
- Vol. 115, 162-173
Robust and subject-independent driving manoeuvre anticipation through Domain-Adversarial Recurrent Neural Networks
- 1 May 2019
- Published by Elsevier in Robotics and Autonomous Systems
- Vol. 115, 162-173
Robust and subject-independent driving manoeuvre anticipation through Domain-Adversarial Recurrent Neural Networks
- Open Access
- 1 July 2017
- Published by Elsevier in Artificial Intelligence in Medicine
- Vol. 80, 39-47
A machine learning approach for real-time modelling of tissue deformation in image-guided neurosurgery
- 1 July 2017
- Published by Elsevier in Artificial Intelligence in Medicine
- Vol. 80, 39-47
Open AccessA machine learning approach for real-time modelling of tissue deformation in image-guided neurosurgery
- Open Access
- 22 November 2016
- Published by Oxford University Press (OUP) in Postgraduate Medical Journal
- Vol. 93 (1097) , 159-167
The role of technology in minimally invasive surgery: state of the art, recent developments and future directions
The diffusion of minimally invasive surgery has thrived in recent years, providing substantial benefits over traditional techniques for a number of surgical interventions. This rapid growth has been possible due to significant advancements in medical technology, which partly solved some of the technical and clinical challenges associated with minimally invasive techniques. The issues that still limit its widespread adoption for some applications include the limited field of view; reduced manoeuvrability of the tools; lack of haptic feedback; loss of depth perception; extended learning curve; prolonged operative times and higher financial costs. The present review discusses some of the main recent technological advancements that fuelled the uptake of minimally invasive surgery, focussing especially on the areas of imaging, instrumentation, cameras and robotics. The current limitations of state-of-the-art technology are identified and addressed, proposing future research directions necessary to overcome them.
- 22 November 2016
- Published by Oxford University Press (OUP) in Postgraduate Medical Journal
- Vol. 93 (1097) , 159-167
Open AccessThe role of technology in minimally invasive surgery: state of the art, recent developments and future directions
The diffusion of minimally invasive surgery has thrived in recent years, providing substantial benefits over traditional techniques for a number of surgical interventions. This rapid growth has been possible due to significant advancements in medical technology, which partly solved some of the technical and clinical challenges associated with minimally invasive techniques. The issues that still limit its widespread adoption for some applications include the limited field of view; reduced manoeuvrability of the tools; lack of haptic feedback; loss of depth perception; extended learning curve; prolonged operative times and higher financial costs. The present review discusses some of the main recent technological advancements that fuelled the uptake of minimally invasive surgery, focussing especially on the areas of imaging, instrumentation, cameras and robotics. The current limitations of state-of-the-art technology are identified and addressed, proposing future research directions necessary to overcome them.