Evaluation of the AutoSCAN-3 and Sceptor systems for Enterobacteriaceae identification

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Abstract
To evaluate the accuracy and cost effectiveness of the AutoSCAN-3 and Sceptor systems for identification of members of the family Enterobacteriaceae, parallel tests on 678 stock cultures of well-characterized clinical isolates were performed. Automated results by AutoSCAN-3 correctly identified 95.1% at the genus level and 94.9% at the species level; 15 of 42 Shigella isolates were misidentified as members of other genera. In contrast to the automated results, visual interpretation of panels produced 97.9% agreement at the genus level, missing only 3 Shigella isolates. Sceptor correctly identified 96.8% at the genus level and 93.4% at the species level. Of 42 Shigella isolates, 3 were missed and were designated as Salmonella spp. Although all Salmonella spp. were correctly identified, 6 other isolates were misidentified as Salmonella spp. Test costs were comparable for each system, with the cost per test increasing markedly with < 10-15 tests performed/day.

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