Literature DB >> 8763617

Evaluation of an expert system linked to a rapid antibiotic susceptibility testing system for the detection of beta-lactam resistance phenotypes.

G Vedel1, M Peyret, J P Gayral, P Millot.   

Abstract

Interpretive reading of antibiotic disc agar diffusion tests indicates the resistance mechanisms, if any, expressed by a bacterium. An expert system for determining resistance mechanisms using rapid automated antibiotic susceptibility tests has been developed. The beta-lactam susceptibility of each of 300 strains of clinically significant species of enterobacteria, displaying natural and acquired resistance mechanisms, was determined by disc agar diffusion and by a rapid automated method of susceptibility testing associated with an expert system. For every strain, the conclusion of the expert analysis of the automated test was compared with the commonly accepted interpretation of disc agar diffusion tests. Of the 300 strains studied, 275 were similarly interpreted (91.7% agreement). The susceptible and naturally beta-lactam-resistant phenotypes (wild phenotypes) were equally recognized by both methods. Similarly, the results of the two methods concurred for most of the acquired resistance phenotypes. However, for 25 strains (8.3%) the results diverged. The expert system proposed an erroneous phenotype (5 strains), several phenotypes including the correct one (17 strains), or no phenotype (1 strain). For 2 strains the natural resistance mechanism was not detected at first by the automated method but was subsequently deduced by the expert analysis according to bacterial identification. These results demonstrate that satisfactory interpretive reading of automated antibiotic susceptibility tests is possible in 4 to 5 hours but requires careful selection of the antibiotics tested as phenotypic markers.

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Year:  1996        PMID: 8763617     DOI: 10.1016/0923-2508(96)81390-8

Source DB:  PubMed          Journal:  Res Microbiol        ISSN: 0923-2508            Impact factor:   3.992


  4 in total

1.  Potential impact of the VITEK 2 system and the Advanced Expert System on the clinical laboratory of a university-based hospital.

Authors:  C C Sanders; M Peyret; E S Moland; S J Cavalieri; C Shubert; K S Thomson; J M Boeufgras; W E Sanders
Journal:  J Clin Microbiol       Date:  2001-07       Impact factor: 5.948

2.  Extended spectrum beta-lactamase reactions in Stenotrophomonas maltophilia.

Authors:  J Blahová; M Hupková-Lesická; K Králiková; V Krcméry
Journal:  Infection       Date:  1998 May-Jun       Impact factor: 3.553

Review 3.  Expert systems in clinical microbiology.

Authors:  Trevor Winstanley; Patrice Courvalin
Journal:  Clin Microbiol Rev       Date:  2011-07       Impact factor: 26.132

4.  Prevalence of Extended-Spectrum β-Lactamases in E. coli of Rats in the Region North East of Gabon.

Authors:  Richard Onanga; Pierre Philippe Mbehang Nguema; Guy Roger Ndong Atome; Arsène Mabika Mabika; Berthelemy Ngoubangoye; Wed Leslie Komba Tonda; Jean Constant Obague Mbeang; Jacques Lebibi
Journal:  Vet Med Int       Date:  2020-07-18
  4 in total

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