@article{3022478,
    title = "Selecting appropriate empirical antibiotic regimens for paediatric bloodstream infections: Application of a Bayesian decision model to local and pooled antimicrobial resistance surveillance data",
    author = "Bielicki, J.A. and Sharland, M. and Johnson, A.P. and Henderson, K.L. and Cromwell, D.A. and Berger, C. and Esposito, S. and Danieli, E. and Tenconi, R. and Folgori, L. and Bernaschi, P. and Santiago, B. and Saavedra, J. and Cercenado, E. and Brett, A. and Rodrigues, F. and Cizman, M. and Jazbec, J. and Babnik, J. and Pavčnik, M. and Pirš, M. and Mueller Premrov, M. and Lindner, M. and Borte, M. and Lippmann, N. and Schuster, V. and Thürmer, A. and Lander, F. and Elias, J. and Liese, J. and Durst, A. and Weichert, S. and Schneider, C. and Hufnagel, M. and Rack, A. and Hübner, J. and Dubos, F. and Lagree, M. and Dessein, R. and Tissieres, P. and Cuzon, G. and Gajdos, V. and Doucet-Populaire, F. and Usonis, V. and Gurksniene, V. and Bernatoniene, G. and Tsolia, M. and Spyridis, N. and Lebessi, E. and Doudoulakakis, A. and Lutsar, I. and Kõljalg, S. and Schülin, T. and Warris, A. and Antibiotic Resistance and Prescribing in European Children project",
    journal = "The Journal of antimicrobial chemotherapy",
    year = "2016",
    volume = "71",
    number = "3",
    pages = "794-802",
    publisher = "Oxford University Press",
    doi = "10.1093/jac/dkv397",
    keywords = "amoxicillin;  antibiotic agent;  ceftriaxone;  gentamicin;  meropenem;  piperacillin;  tazobactam;  antiinfective agent, adolescent;  adult;  antibiotic resistance;  Article;  bacterium isolate;  Bayes theorem;  blood culture;  bloodstream infection;  child;  childhood disease;  Enterobacter;  Enterococcus faecalis;  Enterococcus faecium;  Escherichia coli;  human;  infant;  Klebsiella pneumoniae;  major clinical study;  newborn;  Pseudomonas aeruginosa;  Staphylococcus aureus;  Streptococcus pneumoniae;  weighted incidence syndromic combination antibiogram;  bacteremia;  bacterium;  Bayes theorem;  decision support system;  drug effects;  epidemiological monitoring;  female;  incidence;  male;  microbial sensitivity test;  preschool child, Adolescent;  Anti-Bacterial Agents;  Bacteremia;  Bacteria;  Bayes Theorem;  Child;  Child, Preschool;  Decision Support Techniques;  Epidemiological Monitoring;  Female;  Humans;  Incidence;  Infant;  Infant, Newborn;  Male;  Microbial Sensitivity Tests",
    abstract = "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. The study used microbiological data on ~2000 bloodstream isolates collected over 2 years from 19 European hospitals. We evaluated the ability of a WISCA to show differences in regimen coverage at two exemplar hospitals. For each, a WISCA was first calculated using only their local data; a second WISCA was calculated using pooled data from all 19 hospitals. Results: The estimated coverage of the five regimens was 72%-86% for Hospital 1 and 79%-94% for Hospital 2, based on their own data. In both cases, the best regimens could not be definitively identified because the differences in coverage were not statistically significant. For Hospital 1, coverage estimates derived using pooled data gave sufficient precision to reveal clinically important differences among regimens, including high coverage provided by a narrow-spectrum antibiotic combination. For Hospital 2, the hospital and pooled data showed signs of heterogeneity and the use of pooled data was judged not to be appropriate. Conclusions: The Bayesian WISCA provides a useful approach to pooling information from different sources to guide empirical therapy and could increase confidence in the selection of narrow-spectrum regimens. © The Author 2015. Published by Oxford University Press on behalf of the British Society for Antimicrobial Chemotherapy. All rights reserved."
}