Author details

Full Name

Simon T Vistisen

Affiliation

Aarhus University

ORCID

Career Start Year

2009

Papers

H Index

Expertise

CM4AI Collaborator

PMID	Paper Title	Journal Title	Published Year
37968547	The effects of respiratory rate and tidal volume on pulse pressure variation in healthy lungs-a generalized additive model approach may help overcome limitations.	J Clin Monit Comput	2024
38085015	CON: The hypotension prediction index is not a validated predictor of hypotension.	Eur J Anaesthesiol	2024
36722188	Sensible and simple prediction models should always be reported for reference when reporting advanced prediction models.	Eur J Anaesthesiol	2023
37644895	Combined effects of methadone and quetiapine on respiratory rate, haemodynamic variables, and temperature in conscious rats.	Addict Biol	2023
35695942	Using generalized additive models to decompose time series and waveforms, and dissect heart-lung interaction physiology.	J Clin Monit Comput	2023
37125828	Individualised perioperative blood pressure and fluid therapy in oesophagectomy â¿¿ study protocol for a randomised clinical trial	Dan Med J	2023
36626771	Selection Bias in the Hypotension Prediction Index: Reply.	Anesthesiology	2023
34338314	Existing fluid responsiveness studies using the mini-fluid challenge may be misleading: Methodological considerations and simulations.	Acta Anaesthesiol Scand	2022
35394584	What is new in hemodynamic monitoring and management?	J Clin Monit Comput	2022
35907787	Kinetics of 2 different high-sensitive troponins during targeted temperature management in out-of-hospital cardiac arrest patients with acute myocardial infarction: a post hoc sub-study of a randomised clinical trial.	BMC Cardiovasc Disord	2022
35984931	Performance of the Hypotension Prediction Index May Be Overestimated Due to Selection Bias.	Anesthesiology	2022
35919024	Artificial intelligence in the clinical setting: Towards actual implementation of reliable outcome predictions.	Eur J Anaesthesiol	2022
34041648	Changes in arterial blood pressure characteristics following an extrasystolic beat or a fast 50Â ml fluid challenge do not predict fluid responsiveness during cardiac surgery.	J Clin Monit Comput	2022
33293279	SARS-CoV-2 infection and adverse outcomes in users of ACE inhibitors and angiotensin-receptor blockers: a nationwide case-control and cohort analysis.	Thorax	2021
33512597	Current use of inotropes in circulatory shock.	Ann Intensive Care	2021
33888300	VitalDB: fostering collaboration in anaesthesia research.	Br J Anaesth	2021
34559754	Persistent Opioid Use After Spine Surgery: A Prospective Cohort Study.	Spine (Phila Pa 1976)	2021
31134474	The response of a standardized fluid challenge during cardiac surgery on cerebral oxygen saturation measured with near-infrared spectroscopy.	J Clin Monit Comput	2020
31677135	Automated echocardiography for measuring and tracking cardiac output after cardiac surgery: a validation study.	J Clin Monit Comput	2020
32998607	Renin-Angiotensin System Blockers and Adverse Outcomes of Influenza and Pneumonia: A Danish Cohort Study.	J Am Heart Assoc	2020
32769503	Risk and prognosis of COVID-19 in patients treated with renin-angiotensin-aldosterone inhibitors.	Eur J Anaesthesiol	2020
32170569	Journal of Clinical Monitoring and Computing end of year summary 2019: hemodynamic monitoring and management.	J Clin Monit Comput	2020
30896602	Ability of an Arterial Waveform Analysis-Derived Hypotension Prediction Index to Predict Future Hypotensive Events in Surgical Patients.	Anesth Analg	2020
30411186	Post-extrasystolic characteristics in the arterial blood pressure waveform are associated with right ventricular dysfunction in intensive care patients.	J Clin Monit Comput	2019
31582096	What the anaesthesiologist needs to know about heart-lung interactions.	Best Pract Res Clin Anaesthesiol	2019
31254239	Predicting vital sign deterioration with artificial intelligence or machine learning.	J Clin Monit Comput	2019
30701448	Current use of vasopressors in septic shock.	Ann Intensive Care	2019
30847738	Journal of clinical monitoring and computing end of year summary 2018: hemodynamic monitoring and management.	J Clin Monit Comput	2019
30414054	Using extra systoles and the micro-fluid challenge to predict fluid responsiveness during cardiac surgery.	J Clin Monit Comput	2019
29664782	Challenge of the Mini-fluid Challenge: Filling Twice without Creating a Self-fulfilling Prophecy Design.	Anesthesiology	2018
29892504	Gastrointestinal transit time and heart rate variability in patients with mild acquired brain injury.	PeerJ	2018
30151211	Extrasystoles for fluid responsiveness prediction in critically ill patients.	J Intensive Care	2018
30364006	Prevalence and Temporal Distribution of Extrasystoles in Septic ICU Patients: The Feasibility of Predicting Fluid Responsiveness Using Extrasystoles.	Crit Care Res Pract	2018
27460129	Using extra systoles to predict fluid responsiveness in cardiothoracic critical care patients.	J Clin Monit Comput	2017
28212048	Can Passive Leg Raising Be Considered the Gold Standard in Predicting Fluid Responsiveness?	Am J Respir Crit Care Med	2017
28974083	Methodology in systematic reviews of goal-directed therapy: improving but not perfect.	Br J Anaesth	2017
28537997	Where are we heading with fluid responsiveness research?	Curr Opin Crit Care	2017
28895094	Fluid loading and norepinephrine infusion mask the left ventricular preload decrease induced by pleural effusion.	Intensive Care Med Exp	2017
25356639	Association between the sensory-motor nervous system and the autonomic nervous system in neurorehabilitation patients with severe acquired brain injury.	Brain Inj	2015
25700935	Propofolâ¿¿or regression toward the meanâ¿¿increases preload dependency.	J Surg Res	2015
24165897	Variations in the pre-ejection period induced by deep breathing do not predict the hemodynamic response to early haemorrhage in healthy volunteers.	J Clin Monit Comput	2014
24295072	Heart rate variability in neurorehabilitation patients with severe acquired brain injury.	Brain Inj	2014
24203263	Variations in the pre-ejection period induced by ventricular extra systoles may be feasible to predict fluid responsiveness.	J Clin Monit Comput	2014
23871327	Ultrasound of the inferior vena cava does not predict hemodynamic response to early hemorrhage.	J Emerg Med	2013
22550604	Procedural aspects and physiologic mechanisms of the deep inspiratory maneuver.	Cardiol Res Pract	2012
19764908	Should dynamic parameters for prediction of fluid responsiveness be indexed to the tidal volume?	Acta Anaesthesiol Scand	2010
19681786	Automated pre-ejection period variation predicts fluid responsiveness in low tidal volume ventilated pigs.	Acta Anaesthesiol Scand	2010
19302700	Using an expiratory resistor, arterial pulse pressure variations predict fluid responsiveness during spontaneous breathing: an experimental porcine study.	Crit Care	2009
19239409	Automated pre-ejection period variation indexed to tidal volume predicts fluid responsiveness after cardiac surgery.	Acta Anaesthesiol Scand	2009
19448491	Prediction of fluid responsiveness in acute respiratory distress syndrome patients ventilated with low tidal volume and high positive end-expiratory pressure.	Crit Care Med	2009

1 - 50 of 50

Ashish K Khanna

Wake Forest University School of Medicine

Career Start Year 2012

Number of shared co-authors 1

Siddharth Dugar

Respiratory Institute, Cleveland Clinic

Career Start Year 2012

Number of shared co-authors 0

Michael J Lanspa

intermountain medical center

Career Start Year 2012

Number of shared co-authors 1

Matthew W Semler

Vanderbilt University Medical Center

Career Start Year 2010

Number of shared co-authors 0

Ary Serpa Neto

Australian and New Zealand Intensive Care Research Centre, Monash University

Career Start Year 2008

Number of shared co-authors 7

Romain Pirracchio

University of California san francisco

Career Start Year 2006

Number of shared co-authors 7

Paul W G Elbers

Center for Critical Care Computational Intelligence, Vrije Universiteit

Career Start Year 2006

Number of shared co-authors 8

David A Kaufman

New York University Langone Health

Career Start Year 2005

Number of shared co-authors 1

Eduardo Mireles-Cabodevila

Respiratory Institute, Cleveland Clinic

Career Start Year 2005

Number of shared co-authors 1

Dirk Varelmann

Brigham and Women's Hospital, Harvard Medical School

Career Start Year 2003

Number of shared co-authors 0

Danielle Davison

George Washington University School of Medicine and Health Sciences

Career Start Year 2003

Number of shared co-authors 1

Tobias M Merz

Auckland City Hospital

Career Start Year 2002

Number of shared co-authors 3

Andrew T Reisner

Massachusetts General Hospital

Career Start Year 2001

Number of shared co-authors 1

Geoffrey M Shaw

Christchurch Hospital

Career Start Year 2001

Number of shared co-authors 2

Sven Zenker

University Hospital Bonn

Career Start Year 2000

Number of shared co-authors 1

Balachundhar Subramaniam

Beth Israel Deaconess Medical Center

Career Start Year 2000

Number of shared co-authors 1

Geert Meyfroidt

University Hospitals Leuven and KU Leuven

Career Start Year 2000

Number of shared co-authors 3

Luigi Camporota

St Thomas' Hospital

Career Start Year 1999

Number of shared co-authors 3

Pietro Caironi

University of Turin

Career Start Year 1999

Number of shared co-authors 3

Peter J Watkinson

John Radcliffe Hospital, University of Oxford

Career Start Year 1999

Number of shared co-authors 3

Gernot Marx

University Hospital RWTH Aachen

Career Start Year 1996

Number of shared co-authors 6

Daniel Talmor

Beth Israel Deaconess Medical Center, Harvard Medical School

Career Start Year 1996

Number of shared co-authors 3

Salvatore Maurizio Maggiore

SS. Annunziata Hospital

Career Start Year 1995

Number of shared co-authors 4

Andrea Gabrielli

University of Miami Miller School of Medicine

Career Start Year 1994

Number of shared co-authors 0

Brahm Goldstein

Clinical Epidemiology

Career Start Year 1990

Number of shared co-authors 0

Armand R J Girbes

Center for Critical Care Computational Intelligence, Vrije Universiteit

Career Start Year 1988

Number of shared co-authors 5

Laurent Brochard

University of Toronto

Career Start Year 1984

Number of shared co-authors 7

Dimitrios Matamis

Papageorgiou Hospital

Career Start Year 1981

Number of shared co-authors 0

Ulrich Schmidt

University of California San Diego Health

Career Start Year 1977

Number of shared co-authors 0

Roger G Mark

Institute for Medical Engineering and Science, Massachusetts Institute of Technology

Career Start Year 1974

Number of shared co-authors 5

row(s) 1 - 30 of 30

Thomas W L Scheeren

University of Groningen, University Medical Center Groningen

Co-authored papers 17

Johannes Enevoldsen

Aarhus University

Co-authored papers 13

Anthony C Gordon

Imperial College London

Co-authored papers 2

Antoine Vieillard-Baron

Ambroise Pare Hospital, Assistance Publique-Hopitaux de Paris

Co-authored papers 2

Jacques Duranteau

CHU de Bicetre

Co-authored papers 2

Djillali Annane

The George Institute for Global Health

Co-authored papers 2

Maurizio Cecconi

IRCCS, Humanitas Research Hospital

Co-authored papers 2

Jean-Louis Vincent

Erasme Hospital, Universite Libre de Bruxelles

Co-authored papers 2

Iwan C C van der Horst

Cardiovascular Research Institute Maastricht (CARIM), Maastricht University

Co-authored papers 2

Tom J Pollard

Massachusetts Institute of Technology, Scientific Data - Nature, Software Sustainability Institute, University College London, University of Law - London Bloomsbury Centre

Co-authored papers 2

Michael R Pinsky

University of Pittsburgh

Co-authored papers 2

Alexandre Mebazaa

INSERM UMR-S , Universite de Paris Cite

Co-authored papers 2

Rupert M Pearse

William Harvey Research Institute, Queen Mary University of London

Co-authored papers 2

Michelle S Chew

Biomedical and Clinical Sciences, Linkoping University