Literature DB >> 2324273

Agreement between visual and automated UniScept API readings.

C M O'Hara1, D L Rhoden, P B Smith.   

Abstract

The UniScept API system was evaluated for agreement of visual versus automated readings of both its identification panels and its antimicrobial susceptibility panels. The biochemical responses of 340 oxidase-negative and oxidase-positive fermentative bacterial cultures were read both visually and automatically in the UniScept API 20E system. Automated and visual readings agreed with 99.3% of the biochemicals. Of the 45 tests that disagreed, the tests for indole and citrate were most often in disagreement. A total of 470 fermentative and nonfermentative cultures were used in the UniScept MIC system to compare visual and automated readings of susceptibility results with 17 antimicrobial agents. Agreement within +/- 1 dilution occurred with 94.1% of the enteric fermenters and with 91.7% of the other cultures. Comparison of visual and automated readings resulted in very major discrepancies in 0.95% of the readings, with the largest percentage of discrepancies associated with glucose nonfermenters (1.8%). It was felt that an automated reading is an acceptable alternative to a visual reading of the biochemicals but that 0.95% was just within the acceptable range of the 1% allowable very major discrepancies in the automated reading of susceptibilities.

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Year:  1990        PMID: 2324273      PMCID: PMC269642          DOI: 10.1128/jcm.28.3.452-454.1990

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


  8 in total

1.  Novel application of video image processing to biochemical and antimicrobial susceptibility testing.

Authors:  R F D'Amato; H D Isenberg; G A McKinley; E J Baron; R Tepper; M Shulman
Journal:  J Clin Microbiol       Date:  1988-08       Impact factor: 5.948

2.  Cobas-Bact system for identification of members of the family Enterobacteriaceae in 4 h 20 min.

Authors:  A Wenger; L J Tissières; F R Praplan; W R Kamm; J Bille
Journal:  J Clin Microbiol       Date:  1987-01       Impact factor: 5.948

3.  autoSCAN-4 system for identification of gram-negative bacilli.

Authors:  D L Rhoden; P B Smith; C N Baker; B Schable
Journal:  J Clin Microbiol       Date:  1985-12       Impact factor: 5.948

4.  Evaluation of the Sensititre system for identification of Enterobacteriaceae.

Authors:  J L Staneck; J Vincelette; F Lamothe; E A Polk
Journal:  J Clin Microbiol       Date:  1983-04       Impact factor: 5.948

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

Authors:  B F Woolfrey; R T Lally; C O Quall
Journal:  J Clin Microbiol       Date:  1983-05       Impact factor: 5.948

6.  Clinical laboratory evaluation of the automicrobic system Enterobacteriaceae biochemical card.

Authors:  J R Davis; C E Stager; R D Wende; S M Qadri
Journal:  J Clin Microbiol       Date:  1981-10       Impact factor: 5.948

7.  Evaluation of the MS-2 system for rapid identification of Enterobacteriaceae.

Authors:  A W McCracken; W J Martin; L R McCarthy; D A Schwab; B H Cooper; N G Helgeson; S Prowant; J Robson
Journal:  J Clin Microbiol       Date:  1980-11       Impact factor: 5.948

8.  Relationship between in vitro susceptibility test results for chloramphenicol and production of chloramphenicol acetyltransferase by Haemophilus influenzae, Streptococcus pneumoniae, and Aerococcus species.

Authors:  H W Matthews; C N Baker; C Thornsberry
Journal:  J Clin Microbiol       Date:  1988-11       Impact factor: 5.948

  8 in total
  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.  Evaluation of RapID onE system for identification of 379 strains in the family Enterobacteriaceae and oxidase-negative, gram-negative nonfermenters.

Authors:  T T Kitch; M R Jacobs; P C Appelbaum
Journal:  J Clin Microbiol       Date:  1994-04       Impact factor: 5.948

  2 in total

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