Literature DB >> 1734043

Reevaluation of the API 20E identification system versus conventional biochemicals for identification of members of the family Enterobacteriaceae: a new look at an old product.

C M O'Hara1, D L Rhoden, J M Miller.   

Abstract

The API 20E bacterial identification system has been used for 19 years, often as the standard with which other identification systems are compared. Because the accuracy of this system compared with conventional biochemical tests has not been determined in many years, we evaluated the API 20E linear strip by using 291 typical and atypical strains of the family Enterobacteriaceae taken from a culture collection. At 24 h, the API 20E correctly identified by genus and species 229 of 291 (78.7%) of the strains, using Salmonella and Shigella serotyping where indicated. At 48 h, 95.2% were correctly identified by using additional biochemical tests as recommended by the manufacturer. The API 20E misidentified eight (2.7%) strains; these strains were not limited to any particular genus. When 81 of these Enterobacteriaceae strains were arranged into a weighted assortment correlating to the frequency with which they might be found in a clinical laboratory, the API 20E correctly identified 71 (87.7%) at 24 h and 78 (96.3%) at 48 h. This evaluation concluded that the accuracy of the identification of Enterobacteriaceae strains at 24 h (78.7%) may be significantly lower than that of earlier evaluations. However, there is no significant difference in the ability of the API 20E to correctly identify "challenge" type organisms (229 of 291) versus routine hospital isolates (71 of 81) (P greater than 0.05), but the system is not as accurate as the conventional biochemical method of identification.

Mesh:

Year:  1992        PMID: 1734043      PMCID: PMC265006          DOI: 10.1128/jcm.30.1.123-125.1992

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


  13 in total

1.  Comparison of the autoSCAN-W/A rapid bacterial identification system and the Vitek AutoMicrobic system for identification of gram-negative bacilli.

Authors:  M A Pfaller; D Sahm; C O'Hara; C Ciaglia; M Yu; N Yamane; G Scharnweber; D Rhoden
Journal:  J Clin Microbiol       Date:  1991-07       Impact factor: 5.948

2.  API system: a multitube micromethod for identification of Enterobacteriaceae.

Authors:  P B Smith; K M Tomfohrde; D L Rhoden; A Balows
Journal:  Appl Microbiol       Date:  1972-09

3.  Comparison of the Quantum II Bacterial Identification System and the AutoMicrobic System for the identification of gram-negative bacilli.

Authors:  M A Pfaller; M J Bale; K R Schulte; F P Koontz
Journal:  J Clin Microbiol       Date:  1986-01       Impact factor: 5.948

4.  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

5.  Use of the Autobac IDX system for rapid identification of Enterobacteriaceae and nonfermentative gram-negative bacilli.

Authors:  W J Costigan; G E Hollick
Journal:  J Clin Microbiol       Date:  1984-02       Impact factor: 5.948

6.  Performance of two four-hour identification systems with atypical strains of Enterobacteriaceae.

Authors:  M Altwegg
Journal:  Eur J Clin Microbiol       Date:  1983-12       Impact factor: 3.267

7.  Comparison of automated and rapid manual methods for the same-day identification of Enterobacteriaceae.

Authors:  J H Jorgensen; J E Johnson; G A Alexander; R Paxson; G L Alderson
Journal:  Am J Clin Pathol       Date:  1983-06       Impact factor: 2.493

8.  Evaluation of the DMS Rapid E system for identification of clinical isolates of the family Enterobacteriaceae.

Authors:  M W Keville; G V Doern
Journal:  J Clin Microbiol       Date:  1984-11       Impact factor: 5.948

9.  Evaluation of accuracy of multitest micromethod system for identification of Enterobacteriaceae.

Authors:  J A Washington; P K Yu; W J Martin
Journal:  Appl Microbiol       Date:  1971-09

10.  Evaluation of PASCO MIC-ID system for identifying gram-negative bacilli.

Authors:  D L Rhoden; B Schable; P B Smith
Journal:  J Clin Microbiol       Date:  1987-12       Impact factor: 5.948

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  18 in total

1.  Particular biochemical profiles for enterohemorrhagic Escherichia coli O157:H7 isolates on the ID 32E system.

Authors:  A Leclercq; B Lambert; D Pierard; J Mahillon
Journal:  J Clin Microbiol       Date:  2001-03       Impact factor: 5.948

2.  Bacterial identification for publication: when is enough enough?

Authors:  J Michael Janda; Sharon L Abbott
Journal:  J Clin Microbiol       Date:  2002-06       Impact factor: 5.948

3.  Evaluation of the autoSCAN-W/A rapid system for identification and susceptibility testing of gram-negative fermentative bacilli.

Authors:  M K York; G F Brooks; E H Fiss
Journal:  J Clin Microbiol       Date:  1992-11       Impact factor: 5.948

Review 4.  Automated systems for identification of microorganisms.

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

Review 5.  Manual and automated instrumentation for identification of Enterobacteriaceae and other aerobic gram-negative bacilli.

Authors:  Caroline M O'hara
Journal:  Clin Microbiol Rev       Date:  2005-01       Impact factor: 26.132

6.  Comparison of API 20E and invA PCR for identification of Salmonella enterica isolates from swine production units.

Authors:  Daniele M Nucera; Carol W Maddox; Patricia Hoien-Dalen; Ronald M Weigel
Journal:  J Clin Microbiol       Date:  2006-09       Impact factor: 5.948

Review 7.  Salmonella, Shigella, and yersinia.

Authors:  John P Dekker; Karen M Frank
Journal:  Clin Lab Med       Date:  2015-04-02       Impact factor: 1.935

8.  Comparison of identifications of human and animal source gram-negative bacteria by API 20E and crystal E/NF systems.

Authors:  D Peele; J Bradfield; W Pryor; S Vore
Journal:  J Clin Microbiol       Date:  1997-01       Impact factor: 5.948

9.  Four-year prospective study of STAPH-IDENT system and conventional method for reference identification of Staphylococcus, Stomatococcus, and Micrococcus spp..

Authors:  D L Rhoden; J M Miller
Journal:  J Clin Microbiol       Date:  1995-01       Impact factor: 5.948

10.  Comparison of systems for identification and differentiation of species within the genus Yersinia.

Authors:  H Neubauer; T Sauer; H Becker; S Aleksic; H Meyer
Journal:  J Clin Microbiol       Date:  1998-11       Impact factor: 5.948

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