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Jason N Kennedy

Showing results (1-10 of 41) with videos related to

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Cell Reports. Medicine|September 21, 2022
A sepsis early warning system is associated with improved patient outcomesJason N Kennedy, Kristina E Rudd
Journal of Critical Care|January 13, 2026
Machine learning to assess correlated sociodemographic and socioeconomic community-level data and association with sepsis incidenceZahra Aghababa, Jason N Kennedy, RuoFei Yin, et al.
Catheterization and Cardiovascular Interventions : Official Journal of the Society for Cardiac Angiography & Interventions|January 25, 2022
Validation of cardiogenic shock phenotypes in a mixed cardiac intensive care unit populationJacob C Jentzer, Sabri Soussi, Patrick R Lawler, et al.
Critical Care (London, England)|November 11, 2024
Epidemiology of β-blocker use among critically iII patients during and after septic shockStuthi Iyer, Jason N Kennedy, Peter C Nauka, et al.
JAMA|April 8, 2024
Cardiac Function Before Sepsis and Clinical OutcomesStuthi Iyer, Jason N Kennedy, Jacob C Jentzer, et al.
Journal of Translational Medicine|October 4, 2022
Circulating hypoxia-dependent miR-210 is increased in clinical sepsis subtypes: A cohort studyRachel E Powell, Yi Yin Tai, Jason N Kennedy, et al.
European Journal of Emergency Medicine : Official Journal of the European Society for Emergency Medicine|December 21, 2022
The association between prehospital HMGB1 and sepsis in emergency careStuthi Iyer, Jason N Kennedy, Rachel Powell, et al.
JAMA Network Open|October 7, 2022
Association Between Preexisting Heart Failure With Reduced Ejection Fraction and Fluid Administration Among Patients With SepsisRachel E Powell, Jason N Kennedy, Mourad H Senussi, et al.
Annals of Vascular Surgery|July 27, 2024
Contemporary National Incidence and Outcomes of Acute Limb IschemiaMarissa C Jarosinski, Jason N Kennedy, Stuthi Iyer, et al.
Intensive Care Medicine Experimental|June 3, 2026
The use of logic for machine learning models in sepsisDanielle R Lavage, Lauren N Ward, Derek C Angus, et al.
Pageof 5

Showing results (1-10 of 41) with videos related to

Sort By:
Pageof 5
Cell Reports. Medicine|September 21, 2022
A sepsis early warning system is associated with improved patient outcomesJason N Kennedy, Kristina E Rudd
Journal of Critical Care|January 13, 2026
Machine learning to assess correlated sociodemographic and socioeconomic community-level data and association with sepsis incidenceZahra Aghababa, Jason N Kennedy, RuoFei Yin, et al.
Catheterization and Cardiovascular Interventions : Official Journal of the Society for Cardiac Angiography & Interventions|January 25, 2022
Validation of cardiogenic shock phenotypes in a mixed cardiac intensive care unit populationJacob C Jentzer, Sabri Soussi, Patrick R Lawler, et al.
Critical Care (London, England)|November 11, 2024
Epidemiology of β-blocker use among critically iII patients during and after septic shockStuthi Iyer, Jason N Kennedy, Peter C Nauka, et al.
JAMA|April 8, 2024
Cardiac Function Before Sepsis and Clinical OutcomesStuthi Iyer, Jason N Kennedy, Jacob C Jentzer, et al.
Journal of Translational Medicine|October 4, 2022
Circulating hypoxia-dependent miR-210 is increased in clinical sepsis subtypes: A cohort studyRachel E Powell, Yi Yin Tai, Jason N Kennedy, et al.
European Journal of Emergency Medicine : Official Journal of the European Society for Emergency Medicine|December 21, 2022
The association between prehospital HMGB1 and sepsis in emergency careStuthi Iyer, Jason N Kennedy, Rachel Powell, et al.
JAMA Network Open|October 7, 2022
Association Between Preexisting Heart Failure With Reduced Ejection Fraction and Fluid Administration Among Patients With SepsisRachel E Powell, Jason N Kennedy, Mourad H Senussi, et al.
Annals of Vascular Surgery|July 27, 2024
Contemporary National Incidence and Outcomes of Acute Limb IschemiaMarissa C Jarosinski, Jason N Kennedy, Stuthi Iyer, et al.
Intensive Care Medicine Experimental|June 3, 2026
The use of logic for machine learning models in sepsisDanielle R Lavage, Lauren N Ward, Derek C Angus, et al.
Pageof 5