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Critical Care (London, England)|September 16, 2015
Improving documentation and coding for acute organ dysfunction biases estimates of changing sepsis severity and burden: a retrospective studyChanu Rhee, Michael V Murphy, Lingling Li, et al.
EGEMS (Washington, DC)|August 2, 2019
Denominators Matter: Understanding Medical Encounter Frequency and Its Impact on Surveillance Estimates Using EHR DataNoelle M Cocoros, Aileen Ochoa, Karen Eberhardt, et al.
Critical Care Medicine|May 12, 2015
Lactate Testing in Suspected Sepsis: Trends and Predictors of Failure to Measure LevelsChanu Rhee, Michael V Murphy, Lingling Li, et al.
Clinical Infectious Diseases : an Official Publication of the Infectious Diseases Society of America|September 27, 2014
Comparison of trends in sepsis incidence and coding using administrative claims versus objective clinical dataChanu Rhee, Michael V Murphy, Lingling Li, et al.
Infection Control and Hospital Epidemiology|March 13, 2023
Impact of changing case definitions for coronavirus disease 2019 (COVID-19) hospitalization on pandemic metricsClaire N Shappell, Michael Klompas, Christina Chan, et al.
Antimicrobial Stewardship & Healthcare Epidemiology : ASHE|October 7, 2024
Trends in antibiotic utilization for patients hospitalized with COVID-19 with and without signs of sepsisClaire N Shappell, Michael Klompas, Christina Chan, et al.
Intensive Care Medicine|October 21, 2024
Causal inference can lead us to modifiable mechanisms and informative archetypes in sepsisJ Kenneth Baillie, Derek Angus, Katie Burnham, et al.
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