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Critical Care Medicine
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March 17, 2006
Passive leg raising predicts fluid responsiveness in the critically ill
Xavier Monnet, Mario Rienzo, David Osman, et al.
Critical Care Medicine
|
November 7, 2012
Cardiac output response to norepinephrine in postoperative cardiac surgery patients: interpretation with venous return and cardiac function curves
Jacinta J Maas, Michael R Pinsky, Rob B de Wilde, et al.
Journal of Critical Care Medicine (Universitatea De Medicina Si Farmacie Din Targu-Mures)
|
August 17, 2023
Fluids and Early Vasopressors in the Management of Septic Shock: Do We Have the Right Answers Yet?
E Carlos Sanchez, Michael R Pinsky, Sharmili Sinha, et al.
Journal of Clinical Monitoring and Computing
|
February 16, 2019
Predicting tachycardia as a surrogate for instability in the intensive care unit
Joo Heung Yoon, Lidan Mu, Lujie Chen, et al.
Chest
|
March 9, 2013
Noninvasive assessment of acute dyspnea in the ED
Xaime García, Peter Simon, Francis X Guyette, et al.
Intensive Care Medicine
|
August 2, 2005
Esophageal Doppler monitoring predicts fluid responsiveness in critically ill ventilated patients
Xavier Monnet, Mario Rienzo, David Osman, et al.
Critical Care Medicine
|
January 6, 2007
Measuring aortic diameter improves accuracy of esophageal Doppler in assessing fluid responsiveness
Xavier Monnet, Denis Chemla, David Osman, et al.
Resuscitation
|
April 13, 2011
Centile-based early warning scores derived from statistical distributions of vital signs
Lionel Tarassenko, David A Clifton, Michael R Pinsky, et al.
American Journal of Physiology. Heart and Circulatory Physiology
|
September 18, 2007
Differential effects of left ventricular pacing sites in an acute canine model of contraction dyssynchrony
Lauren Johnson, Hyung Kook Kim, Masaki Tanabe, et al.
BMJ Open
|
December 5, 2019
Machine learning of physiological waveforms and electronic health record data to predict, diagnose and treat haemodynamic instability in surgical patients: protocol for a retrospective study
Maxime Cannesson, Ira Hofer, Joseph Rinehart, et al.
Page
of 31
Search research articles
Search
Showing results (211-220 of 304) with videos related to
Sort By:
Page
of 31
Critical Care Medicine
|
March 17, 2006
Passive leg raising predicts fluid responsiveness in the critically ill
Xavier Monnet, Mario Rienzo, David Osman, et al.
Critical Care Medicine
|
November 7, 2012
Cardiac output response to norepinephrine in postoperative cardiac surgery patients: interpretation with venous return and cardiac function curves
Jacinta J Maas, Michael R Pinsky, Rob B de Wilde, et al.
Journal of Critical Care Medicine (Universitatea De Medicina Si Farmacie Din Targu-Mures)
|
August 17, 2023
Fluids and Early Vasopressors in the Management of Septic Shock: Do We Have the Right Answers Yet?
E Carlos Sanchez, Michael R Pinsky, Sharmili Sinha, et al.
Journal of Clinical Monitoring and Computing
|
February 16, 2019
Predicting tachycardia as a surrogate for instability in the intensive care unit
Joo Heung Yoon, Lidan Mu, Lujie Chen, et al.
Chest
|
March 9, 2013
Noninvasive assessment of acute dyspnea in the ED
Xaime García, Peter Simon, Francis X Guyette, et al.
Intensive Care Medicine
|
August 2, 2005
Esophageal Doppler monitoring predicts fluid responsiveness in critically ill ventilated patients
Xavier Monnet, Mario Rienzo, David Osman, et al.
Critical Care Medicine
|
January 6, 2007
Measuring aortic diameter improves accuracy of esophageal Doppler in assessing fluid responsiveness
Xavier Monnet, Denis Chemla, David Osman, et al.
Resuscitation
|
April 13, 2011
Centile-based early warning scores derived from statistical distributions of vital signs
Lionel Tarassenko, David A Clifton, Michael R Pinsky, et al.
American Journal of Physiology. Heart and Circulatory Physiology
|
September 18, 2007
Differential effects of left ventricular pacing sites in an acute canine model of contraction dyssynchrony
Lauren Johnson, Hyung Kook Kim, Masaki Tanabe, et al.
BMJ Open
|
December 5, 2019
Machine learning of physiological waveforms and electronic health record data to predict, diagnose and treat haemodynamic instability in surgical patients: protocol for a retrospective study
Maxime Cannesson, Ira Hofer, Joseph Rinehart, et al.
Page
of 31