Literature DB >> 6389123

A collaborative evaluation of a rapid automated bacterial identification system: the Autobac IDX.

M Stevens, R K Feltham, F Schneider, C Grasmick, F Schaak, P Roos.   

Abstract

A collaborative evaluation of the Autobac IDX, a rapid, semi-automated bacterial identification system, was performed in three independent laboratories in three European countries. The system utilises growth inhibition by a series of chemical compounds. Subsequent analysis of the resultant data by quadratic discriminant function automatically results in a bacterial identification. Three sets of 30 strains were examined repeatedly in each of the participating laboratories. The reproducibilities obtained ranged from 85.6% to 96.6%, with an overall average of 91.8%. The accuracy of the system was also determined by examining 1076 isolates from the three participating laboratories. An overall accuracy of 90.3% was calculated by comparing the Autobac result with a reference method. When the results were weighted to represent clinical frequency, the accuracy was 93.6%.

Mesh:

Year:  1984        PMID: 6389123     DOI: 10.1007/bf02017362

Source DB:  PubMed          Journal:  Eur J Clin Microbiol        ISSN: 0722-2211            Impact factor:   3.267


  12 in total

1.  Computer-assisted bacterial identification utilizing antimicrobial susceptibility profiles generated by autobac 1.

Authors:  B H Sielaff; E A Johnson; J M Matsen
Journal:  J Clin Microbiol       Date:  1976-02       Impact factor: 5.948

2.  Standardization of the Analytab Enteric (API 20E) system to increase accuracy and reproducibility of the test for biotype characterization of bacteria.

Authors:  P R Murray
Journal:  J Clin Microbiol       Date:  1978-07       Impact factor: 5.948

3.  An electrophoretic and bacteriologic study of Yersinia Pestis isolates from Central Java, Asia, and the Western Hemisphere.

Authors:  B W Hudson; T J Quan; V R Sites; J D Marshall
Journal:  Am J Trop Med Hyg       Date:  1973-09       Impact factor: 2.345

4.  Automated, rapid identification of bacteria by pattern analysis of growth inhibition profiles obtained with Autobac 1.

Authors:  G E Buck; B H Sielaff; R Boshard; J M Matsen
Journal:  J Clin Microbiol       Date:  1977-07       Impact factor: 5.948

5.  Accuracy and precision of the autobac system for rapid identification of Gram-negative bacilli: a collaborative evaluation.

Authors:  A L Barry; T L Gavan; P B Smith; J M Matsen; J A Morello; B H Sielaff
Journal:  J Clin Microbiol       Date:  1982-06       Impact factor: 5.948

6.  Novel approach to bacterial identification that uses the autobac system.

Authors:  B H Sielaff; J M Matsen; J E McKie
Journal:  J Clin Microbiol       Date:  1982-06       Impact factor: 5.948

7.  Rapid screening for bacteriuria by light scatter photometry (Autobac): a collaborative study.

Authors:  D C Hale; D N Wright; J E McKie; H D Isenberg; R D Jenkins; J M Matsen
Journal:  J Clin Microbiol       Date:  1981-01       Impact factor: 5.948

8.  Accurate automated identification of selected Enterobacteriaceae at four hours.

Authors:  M J Ferraro; M A Edelblut; L J Kunz
Journal:  J Clin Microbiol       Date:  1981-01       Impact factor: 5.948

9.  Rapid determination of minimum inhibitory concentrations of antimicrobial agents by regression analysis of light scattering data.

Authors:  J E McKie; J Seo; J N Arvesen
Journal:  Antimicrob Agents Chemother       Date:  1980-05       Impact factor: 5.191

10.  Distinctive biochemical features of Salmonella dublin isolated in California.

Authors:  J Fierer; W Fleming
Journal:  J Clin Microbiol       Date:  1983-03       Impact factor: 5.948

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  2 in total

Review 1.  Automated systems for identification of microorganisms.

Authors:  C E Stager; J R Davis
Journal:  Clin Microbiol Rev       Date:  1992-07       Impact factor: 26.132

2.  Constructing a database for low cost identification of gram negative rods in clinical laboratories.

Authors:  P Clayton; R K Feltham; C J Mitchell; P H Sneath
Journal:  J Clin Pathol       Date:  1986-07       Impact factor: 3.411

  2 in total

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