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R Phillip Dellinger

Showing results (131-140 of 166) with videos related to

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Critical Care Medicine|September 9, 2005
Critical care medicine training and certification for emergency physiciansDavid T Huang, Tiffany M Osborn, Kyle J Gunnerson, et al.
Critical Care Medicine|October 3, 2014
Surviving Sepsis Campaign: association between performance metrics and outcomes in a 7.5-year studyMitchell M Levy, Andrew Rhodes, Gary S Phillips, et al.
JMIR Public Health and Surveillance|October 22, 2020
A Racially Unbiased, Machine Learning Approach to Prediction of Mortality: Algorithm Development StudyAngier Allen, Samson Mataraso, Anna Siefkas, et al.
Annals of Emergency Medicine|August 30, 2005
Critical care medicine training and certification for emergency physiciansDavid T Huang, Tiffany M Osborn, Kyle J Gunnerson, et al.
Intensive Care Medicine|October 2, 2014
Surviving Sepsis Campaign: association between performance metrics and outcomes in a 7.5-year studyMitchell M Levy, Andrew Rhodes, Gary S Phillips, et al.
Journal of Critical Care|May 18, 2012
Discordance between microcirculatory alterations and arterial pressure in patients with hemodynamic instabilityRyan C Arnold, R Phillip Dellinger, Joseph E Parrillo, et al.
The Journal of Infectious Diseases|July 10, 2004
Diagnostic and prognostic implications of endotoxemia in critical illness: results of the MEDIC studyJohn C Marshall, Debra Foster, Jean-Louis Vincent, et al.
JAMA|October 11, 2018
Effect of Targeted Polymyxin B Hemoperfusion on 28-Day Mortality in Patients With Septic Shock and Elevated Endotoxin Level: The EUPHRATES Randomized Clinical TrialR Phillip Dellinger, Sean M Bagshaw, Massimo Antonelli, et al.
Critical Care Medicine|February 22, 2013
A phase 2 randomized, double-blind, placebo-controlled study of the safety and efficacy of talactoferrin in patients with severe sepsisKalpalatha Guntupalli, Nathan Dean, Peter E Morris, et al.
Journal of Clinical Medicine|December 1, 2020
Is Machine Learning a Better Way to Identify COVID-19 Patients Who Might Benefit from Hydroxychloroquine Treatment?-The IDENTIFY TrialHoyt Burdick, Carson Lam, Samson Mataraso, et al.
Pageof 17

Showing results (131-140 of 166) with videos related to

Sort By:
Pageof 17
Critical Care Medicine|September 9, 2005
Critical care medicine training and certification for emergency physiciansDavid T Huang, Tiffany M Osborn, Kyle J Gunnerson, et al.
Critical Care Medicine|October 3, 2014
Surviving Sepsis Campaign: association between performance metrics and outcomes in a 7.5-year studyMitchell M Levy, Andrew Rhodes, Gary S Phillips, et al.
JMIR Public Health and Surveillance|October 22, 2020
A Racially Unbiased, Machine Learning Approach to Prediction of Mortality: Algorithm Development StudyAngier Allen, Samson Mataraso, Anna Siefkas, et al.
Annals of Emergency Medicine|August 30, 2005
Critical care medicine training and certification for emergency physiciansDavid T Huang, Tiffany M Osborn, Kyle J Gunnerson, et al.
Intensive Care Medicine|October 2, 2014
Surviving Sepsis Campaign: association between performance metrics and outcomes in a 7.5-year studyMitchell M Levy, Andrew Rhodes, Gary S Phillips, et al.
Journal of Critical Care|May 18, 2012
Discordance between microcirculatory alterations and arterial pressure in patients with hemodynamic instabilityRyan C Arnold, R Phillip Dellinger, Joseph E Parrillo, et al.
The Journal of Infectious Diseases|July 10, 2004
Diagnostic and prognostic implications of endotoxemia in critical illness: results of the MEDIC studyJohn C Marshall, Debra Foster, Jean-Louis Vincent, et al.
JAMA|October 11, 2018
Effect of Targeted Polymyxin B Hemoperfusion on 28-Day Mortality in Patients With Septic Shock and Elevated Endotoxin Level: The EUPHRATES Randomized Clinical TrialR Phillip Dellinger, Sean M Bagshaw, Massimo Antonelli, et al.
Critical Care Medicine|February 22, 2013
A phase 2 randomized, double-blind, placebo-controlled study of the safety and efficacy of talactoferrin in patients with severe sepsisKalpalatha Guntupalli, Nathan Dean, Peter E Morris, et al.
Journal of Clinical Medicine|December 1, 2020
Is Machine Learning a Better Way to Identify COVID-19 Patients Who Might Benefit from Hydroxychloroquine Treatment?-The IDENTIFY TrialHoyt Burdick, Carson Lam, Samson Mataraso, et al.
Pageof 17