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https://www.readbyqxmd.com/read/26626717/selecting-appropriate-empirical-antibiotic-regimens-for-paediatric-bloodstream-infections-application-of-a-bayesian-decision-model-to-local-and-pooled-antimicrobial-resistance-surveillance-data
#1
Julia A Bielicki, Mike Sharland, Alan P Johnson, Katherine L Henderson, David A Cromwell
OBJECTIVES: The objective of this study was to evaluate the ability of weighted-incidence syndromic combination antibiograms (WISCAs) to inform the selection of empirical antibiotic regimens for suspected paediatric bloodstream infections (BSIs) by comparing WISCAs derived using data from single hospitals and from a multicentre surveillance dataset. METHODS: WISCAs were developed by estimating the coverage of five empirical antibiotic regimens for childhood BSI using a Bayesian decision tree...
March 2016: Journal of Antimicrobial Chemotherapy
https://www.readbyqxmd.com/read/24887215/weighted-incidence-syndromic-combination-antibiograms-to-guide-empiric-treatment-of-critical-care-infections-a-retrospective-cohort-study
#2
Varinder Randhawa, Syed Sarwar, Sandra Walker, Marion Elligsen, Lesley Palmay, Nick Daneman
INTRODUCTION: Empiric antimicrobial selection for critical care infections must balance the need for timely adequate coverage with the resistance pressure exerted by broadspectrum agents. We estimated the potential of weighted incidence syndromic combination antibiograms (WISCAs) to improve time to adequate coverage for critical care infections. In contrast to traditional antibiograms, WISCAs display the likelihood of coverage for a specific infectious syndrome (rather than individual pathogens), and also take into account the potential for poly-microbial infections and the use of multi-drug regimens...
2014: Critical Care: the Official Journal of the Critical Care Forum
https://www.readbyqxmd.com/read/22418634/demonstration-of-the-weighted-incidence-syndromic-combination-antibiogram-an-empiric-prescribing-decision-aid
#3
Courtney Hebert, Jessica Ridgway, Benjamin Vekhter, Eric C Brown, Stephen G Weber, Ari Robicsek
OBJECTIVE: Healthcare providers need a better empiric antibiotic prescribing aid than the traditional antibiogram, which supplies no information on the relative frequency of organisms recovered in a given infection and which is uninformative in situations where multiple antimicrobials are used or multiple organisms are anticipated. We aimed to develop and demonstrate a novel empiric prescribing decision aid. DESIGN/SETTING: This is a demonstration involving more than 9,000 unique encounters for abdominal-biliary infection (ABI) and urinary tract infection (UTI) to a large healthcare system with a fully integrated electronic health record (EHR)...
April 2012: Infection Control and Hospital Epidemiology
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