Faculty Opinions recommendation of Improved hospital-level risk adjustment for surveillance of healthcare-associated bloodstream infections: a retrospective cohort study.

Author(s):  
Alison Holmes ◽  
Eimear Brannigan
2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Joanna L. Moore ◽  
Stephanie J. Stroever ◽  
Patricia E. Rondain ◽  
Robyn N. Scatena

Introduction: immunological disorder agent’s area unit theorized to focus on the protein storm syndrome in COVID‑19. However, the downstream effects concerning susceptibilities to secondary infection risk stay unknown. This study seeks to work out risk variations for secondary infections among COVID‑19 patients World Health Organization did and failed to receive tocilizumab. Methods: we have a tendency to conducted a matched retrospective cohort study from 2 giants, acute care hospitals in Western Connecticut from March 1 to May 31, 2020. we have a tendency to collected variables exploitation manual case history abstraction. the first exposure variable was any dose of tocilizumab. the first outcome was any healthcare‑associated microorganism or mycosis as outlined by the National Care Safety Network. we have a tendency to performed a Kaplan–Meier analysis to assess the crude distinction within the additive likelihood of healthcare‑associated infection (HAI) across exposure teams. we have a tendency to conjointly performed a multivariable Cox multivariate analysis to work out the hazard quantitative relation for HAI by exposure group whereas dominant for potential confounders. Results: The Kaplan–Meier analysis incontestable no distinction within the additive likelihood of HAI across teams. The adjusted hazard of HAI for patients given tocilizumab was zero.85 times that of patients not given tocilizumab (95% confidence interval = zero.29, 2.52, P = 0.780) once dominant for relevant confounders. Conclusions: Tocilizumab failed to increase the incidence of secondary infection among COVID‑19 patients. Larger, irregular trials ought to valuate infection as a secondary outcome to validate this finding.


2020 ◽  
Vol 9 (1) ◽  
pp. 175-183
Author(s):  
Katie E. Barber ◽  
Jamie L. Wagner ◽  
Jennifer M. Miller ◽  
Emily A. Lewis ◽  
Kayla R. Stover

2013 ◽  
Vol 24 (3) ◽  
pp. 129-137 ◽  
Author(s):  
Thomas C Havey ◽  
Robert A Fowler ◽  
Ruxandra Pinto ◽  
Marion Elligsen ◽  
Nick Daneman

BACKGROUND: The optimal duration of antibiotic treatment for bloodstream infections is unknown and understudied.METHODS: A retrospective cohort study of critically ill patients with bloodstream infections diagnosed in a tertiary care hospital between March 1, 2010 and March 31, 2011 was undertaken. The impact of patient, pathogen and infectious syndrome characteristics on selection of shorter (≤10 days) or longer (>10 days) treatment duration, and on the number of antibiotic-free days, was examined. The time profile of clinical response was evaluated over the first 14 days of treatment. Relapse, secondary infection and mortality rates were compared between those receiving shorter or longer treatment.RESULTS: Among 100 critically ill patients with bloodstream infection, the median duration of antibiotic treatment was 11 days, but was highly variable (interquartile range 4.5 to 17 days). Predictors of longer treatment (fewer antibiotic-free days) included foci with established requirements for prolonged treatment, underlying respiratory tract focus, and infection withStaphylococcus aureusorPseudomonasspecies. Predictors of shorter treatment (more antibiotic-free days) included vascular catheter source and bacteremia with coagulase-negative staphylococci. Temperature improvements plateaued after the first week; white blood cell counts, multiple organ dysfunction scores and vasopressor dependence continued to decline into the second week. Among 72 patients who survived to 10 days, clinical outcomes were similar between those receiving shorter and longer treatment.CONCLUSION: Antibiotic treatment durations for patients with bloodstream infection are highly variable and often prolonged. A randomized trial is needed to determine the duration of treatment that will maximize cure while minimizing adverse consequences of antibiotics.


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