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Shock (Augusta, Ga.)|May 7, 2019
The Association of Fever and Antipyretic Medication With Outcomes in Mechanically Ventilated Patients: A Cohort StudyEmily M Evans, Rebecca J Doctor, Brian F Gage, 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.
Critical Care Medicine|October 23, 2015
Interhospital Transfer Delays Appropriate Treatment for Patients With Severe Sepsis and Septic Shock: A Retrospective Cohort StudyBrett A Faine, Joseph M Noack, Terrance Wong, et al.
The Annals of Pharmacotherapy|September 22, 2011
Clinical and demographic factors associated with antipyretic use in gram-negative severe sepsis and septic shockNicholas M Mohr, Brian M Fuller, Lee P Skrupky, et al.
Journal of Intensive Care Medicine|March 17, 2026
Age-Related Differences in Benzodiazepine Dosing for Mechanically Ventilated Pediatric ICU Patients: A Retrospective Cohort StudyAmanda R Kolmar, Daniela Bravo, Ricardo A Fonseca, 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.
Critical Care Explorations|April 28, 2025
Impact of Benzodiazepines on Outcomes of Mechanically Ventilated Pediatric Intensive Care Patients: A Retrospective Cohort StudyAmanda R Kolmar, Daniela Bravo, Ricardo A Fonseca, 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.
Computers in Biology and Medicine|August 18, 2020
Prediction of respiratory decompensation in Covid-19 patients using machine learning: The READY trialHoyt Burdick, Carson Lam, Samson Mataraso, et al.
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