title: Novel approach to bacterial identification that uses the autobac system.
abstract: A new system for the rapid identification of gram-negative bacilli on the Autobac system is described. This system utilizes growth inhibition profiles to a panel of differentially inhibitory chemical agents. These profiles are analyzed with a two-stage quadratic discriminant analysis to arrive at the organism identification. The system identifies 30 different groups of gram-negative bacilli, including the most clinically significant Enterobacteriaceae and glucose nonfermenters. A total of 3,726 strains, distributed among the 30 groups, was tested. The Autobac system agreed with the conventional biochemical identification 88.4% of the time. When the individual group results were weighted to reflect clinical frequency, the result was a 93.1% agreement.
mesh_terms: D000900:Anti-Bacterial Agents / Q000494:pharmacology; D001419:Bacteria / Q000145:classification* / Q000187:drug effects; D001431:Bacteriological Techniques; D003201:Computers; D004755:Enterobacteriaceae / Q000145:classification* / Q000187:drug effects; D008826:Microbial Sensitivity Tests; D011336:Probability
chemical_list: D000900:Anti-Bacterial Agents