Design of a method for prediction of susceptibility to antimicrobials

Steen Andreassen, Alina Zalounina, Mical Paul, Leonard Leibovici

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The results from the in vitro susceptibility tests are usually available only for a limited set of antibiotics. This paper provides a practical method for prediction of a posteriori probability for coverage for all relevant antibiotics. The method combines susceptibility results for a limited set of antibiotics with data on cross-resistance between antibiotics. The Brier distance was used to measure the accuracy of the predicted coverages. Across all pathogen/antibiotic combinations in the derivation database, the Brier distances for a priori coverages was 39%, reduced to 25% for predicted a posteriori coverages, indicating that there is a significant advantage to the method proposed (p<10 -99).

Original languageEnglish
Title of host publication7th IFAC Symposium on Modelling and Control in Biomedical Systems (including Biological Systems) MCBMS'09 - Proceedings
PublisherIFAC Secretariat
Pages313-318
Number of pages6
EditionPART 1
ISBN (Print)9783902661494
DOIs
StatePublished - 2009
Externally publishedYes

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
NumberPART 1
Volume7
ISSN (Print)1474-6670

Keywords

  • A posteriori probability
  • Antibiotic therapy
  • Bacterial infections
  • Cross-resistance
  • Susceptibility test

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