Literature DB >> 1890175

Identification of Staphylococcus species and subspecies with the MicroScan Pos ID and Rapid Pos ID panel systems.

W E Kloos1, C G George.   

Abstract

The accuracies of the MicroScan Pos ID and Rapid Pos ID panel systems (Baxter Diagnostic Inc., MicroScan Division, West Sacramento, Calif.) were compared with each other and with the accuracies of conventional methods for the identification of 25 Staphylococcus species and 4 subspecies. Conventional methods included those used in the original descriptions of species and subspecies and DNA-DNA hybridization. The Pos ID panel uses a battery of 18 tests, and the Rapid Pos ID panel uses a battery of 42 tests for the identification of Staphylococcus species. The Pos ID panel has modified conventional and chromogenic tests that can be read after 15 to 48 h of incubation; the Rapid Pos ID panel has tests that use fluorogenic substrates or fluorometric indicators, and test results can be read after 2 h of incubation in the autoSCAN-W/A. Results indicated that both MicroScan systems had a high degree of congruence (greater than or equal to 90%) with conventional methods for the species S. capitis, S. aureus, S. auricularis, S. saprophyticus, S. cohnii, S. arlettae, S. carnosus, S. lentus, and S. sciuri and, in particular, the subspecies S. capitis subsp. capitis and S. cohnii subsp. cohnii. The Rapid Pos ID panel system also had greater than or equal to 90% congruence with conventional methods for S. epidermidis, S. caprae, S. warneri subsp. 2, S. xylosus, S. kloosii, and S. caseolyticus. For both MicroScan systems, congruence with conventional methods was 80 to 90% for S. haemolyticus subsp. 1, S. equorum, S. intermedius, and S. hyicus; and in addition, with the Rapid Pos ID panel system congruence was 80 to 89% for S. capitis subsp. ureolyticus, S. warneri subsp. 1, S. hominis, S. cohnii subsp. urealyticum, and S. simulans. The MicroScan systems identified a lower percentage (50 to 75%) of strains of S. lugdunensis, S. gallinarum, S. schleiferi, and S. chromogenes, although the addition of specific tests to the systems might increase the accuracy of identification significantly.

Entities:  

Mesh:

Substances:

Year:  1991        PMID: 1890175      PMCID: PMC269863          DOI: 10.1128/jcm.29.4.738-744.1991

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


  6 in total

1.  Simplified scheme for routine identification of human Staphylococcus species.

Authors:  W E Kloos; K H Schleifer
Journal:  J Clin Microbiol       Date:  1975-01       Impact factor: 5.948

Review 2.  Coagulase-negative staphylococci and the epidemiological typing of Staphylococcus epidermidis.

Authors:  J T Parisi
Journal:  Microbiol Rev       Date:  1985-06

3.  Batch procedure for thermal elution of DNA from hydroxyapatite.

Authors:  D J Brenner; G R Fanning; A V Rake; K E Johnson
Journal:  Anal Biochem       Date:  1969-04-04       Impact factor: 3.365

Review 4.  Laboratory, clinical, and epidemiological aspects of coagulase-negative staphylococci.

Authors:  M A Pfaller; L A Herwaldt
Journal:  Clin Microbiol Rev       Date:  1988-07       Impact factor: 26.132

5.  Comparison of the MicroScan system with the API Staph-Ident system for species identification of coagulase-negative staphylococci.

Authors:  Z Hussain; L Stoakes; D L Stevens; B C Schieven; R Lannigan; C Jones
Journal:  J Clin Microbiol       Date:  1986-01       Impact factor: 5.948

6.  Staphylococcus capitis subsp. ureolyticus subsp. nov. from human skin.

Authors:  T L Bannerman; W E Kloos
Journal:  Int J Syst Bacteriol       Date:  1991-01
  6 in total
  21 in total

1.  Rapid identification of bacteria from positive blood cultures by fluorescence-based PCR-single-strand conformation polymorphism analysis of the 16S rRNA gene.

Authors:  C Y Turenne; E Witwicki; D J Hoban; J A Karlowsky; A M Kabani
Journal:  J Clin Microbiol       Date:  2000-02       Impact factor: 5.948

2.  Usefulness of the ID32 staph system and a method based on rRNA gene restriction site polymorphism analysis for species and subspecies identification of staphylococcal clinical isolates.

Authors:  O Chesneau; S Aubert; A Morvan; J L Guesdon; N el Solh
Journal:  J Clin Microbiol       Date:  1992-09       Impact factor: 5.948

Review 3.  Automated systems for identification of microorganisms.

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

4.  Human isolates of Staphylococcus caprae: association with bone and joint infections.

Authors:  R Shuttleworth; R J Behme; A McNabb; W D Colby
Journal:  J Clin Microbiol       Date:  1997-10       Impact factor: 5.948

5.  Evaluation of MicroScan Rapid Pos Combo panels for identification of staphylococci.

Authors:  L Stoakes; B C Schieven; E Ofori; P Ewan; R Lannigan; Z Hussain
Journal:  J Clin Microbiol       Date:  1992-01       Impact factor: 5.948

6.  Evaluation of Biolog for identification of members of the family Micrococcaceae.

Authors:  J M Miller; J W Biddle; V K Quenzer; J C McLaughlin
Journal:  J Clin Microbiol       Date:  1993-12       Impact factor: 5.948

Review 7.  Use of enzyme tests in characterization and identification of aerobic and facultatively anaerobic gram-positive cocci.

Authors:  S Bascomb; M Manafi
Journal:  Clin Microbiol Rev       Date:  1998-04       Impact factor: 26.132

8.  Identification of staphylococci with a self-educating system using fatty acid analysis and biochemical tests.

Authors:  R J Behme; R Shuttleworth; A McNabb; W D Colby
Journal:  J Clin Microbiol       Date:  1996-12       Impact factor: 5.948

Review 9.  From clinical microbiology to infection pathogenesis: how daring to be different works for Staphylococcus lugdunensis.

Authors:  Kristi L Frank; José Luis Del Pozo; Robin Patel
Journal:  Clin Microbiol Rev       Date:  2008-01       Impact factor: 26.132

10.  Numerical approach to reference identification of Staphylococcus, Stomatococcus, and Micrococcus spp.

Authors:  D L Rhoden; G A Hancock; J M Miller
Journal:  J Clin Microbiol       Date:  1993-03       Impact factor: 5.948

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.