Literature DB >> 2199522

Evaluation of autoSCAN-W/A automated microbiology system for the identification of non-glucose-fermenting gram-negative bacilli.

F C Tenover1, T S Mizuki, L G Carlson.   

Abstract

We evaluated the ability of the autoSCAN-W/A (MicroScan Division, Baxter Healthcare Corporation, West Sacramento, Calif.), in conjunction with the dried colorimetric Neg ID type 2 panel (DCP) and new rapid fluorometric Neg ID panel (RFP), to identify non-glucose-fermenting gram-negative bacilli by challenging the system with 310 previously identified reference strains. Of these 310 isolates, 286 organisms were in the DCP data base and 269 were in the RFP data base. Use of the DCP panels resulted in 118 (41.3%) correct and 64 (22.4%) incorrect first choice identifications at greater than or equal to 85% probability, 61 (21.3%) low-probability identifications, and 43 (15.0%) reports of unidentified organisms. The RFP system reported 135 (50.1%) correct and 25 (9.3%) incorrect identifications at greater than or equal to 85% probability and 109 (40.5%) low-probability identifications. Unidentified isolates (DCP system only) and isolates producing low-probability first choice identifications (both systems) required supplementary biochemical testing. Over half (37 of 64 [57.8%]) of the DCP misidentifications were due to four commonly isolated, saccharolytic organisms (Alcaligenes xylosoxidans subsp. xylosoxidans, Pseudomonas putida, Pseudomonas fluorescens, and Xanthomonas maltophilia), while 7 of 25 (28%) of misidentifications in the RFP system were due to P. fluorescens. Of note, the RFP system identified non-glucose-fermenting gram-negative bacilli within 2 h of panel inoculation, allowing additional conventional biochemical tests to be set up the same day on low-probability isolates, whereas only 13.5% of the DCPs could be read at 18 h, with the remainder requiring 42 h of incubation before reading. When organism identifications were recalculated with the updated RFP data base and revised software, only 8.1% of all 310 isolates were misidentified at greater than or equal to 85% probability while 77.1% of the isolates were now correctly reported at this same high probability.

Entities:  

Mesh:

Substances:

Year:  1990        PMID: 2199522      PMCID: PMC268001          DOI: 10.1128/jcm.28.7.1628-1634.1990

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


  5 in total

1.  Evaluation of autoscan-4 for identification of members of the family Enterobacteriaceae.

Authors:  F Gavini; M O Husson; D Izard; A Bernigaud; B Quiviger
Journal:  J Clin Microbiol       Date:  1988-08       Impact factor: 5.948

2.  Evaluation of the Titertek-NF system for identification of gram-negative nonfermentative and oxidase-positive fermentative bacteria.

Authors:  P Kämpfer; W Dott
Journal:  J Clin Microbiol       Date:  1989-06       Impact factor: 5.948

3.  Evaluation of the MicroScan antimicrobial susceptibility system with the autoSCAN-4 automated reader.

Authors:  C N Baker; S A Stocker; D L Rhoden; C Thornsberry
Journal:  J Clin Microbiol       Date:  1986-01       Impact factor: 5.948

4.  Critical evaluation of the AutoMicrobic system gram-negative identification card for identification of glucose-nonfermenting gram-negative rods.

Authors:  J J Plorde; J A Gates; L G Carlson; F C Tenover
Journal:  J Clin Microbiol       Date:  1986-02       Impact factor: 5.948

5.  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 in total
  14 in total

1.  Evaluation of autoSCAN-W/A and the Vitek GNI+ AutoMicrobic system for identification of non-glucose-fermenting gram-negative bacilli.

Authors:  L L Sung; D I Yang; C C Hung; H T Ho
Journal:  J Clin Microbiol       Date:  2000-03       Impact factor: 5.948

2.  Evaluation of the automated phoenix system for potential routine use in the clinical microbiology laboratory.

Authors:  J-L Donay; D Mathieu; P Fernandes; C Prégermain; P Bruel; A Wargnier; I Casin; F X Weill; P H Lagrange; J L Herrmann
Journal:  J Clin Microbiol       Date:  2004-04       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.  Evaluation of the autoSCAN-W/A system for rapid (2-hour) identification of members of the family Enterobacteriaceae.

Authors:  C M O'Hara; J M Miller
Journal:  J Clin Microbiol       Date:  1992-06       Impact factor: 5.948

5.  Evaluation of the Autoscan Walkaway system for rapid identification and susceptibility testing of gram-negative bacilli.

Authors:  M T Kelly; C Leicester
Journal:  J Clin Microbiol       Date:  1992-06       Impact factor: 5.948

6.  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

7.  Comparison of the autoSCAN-W/A and Vitek Automicrobic systems for identification and susceptibility testing of bacteria.

Authors:  M R Visser; L Bogaards; M Rozenberg-Arska; J Verhoef
Journal:  Eur J Clin Microbiol Infect Dis       Date:  1992-11       Impact factor: 3.267

8.  Multicenter evaluation of the MicroScan Rapid Gram-Negative Identification Type 3 Panel.

Authors:  S Bascomb; S L Abbott; J D Bobolis; D A Bruckner; S J Connell; S K Cullen; M Daugherty; D Glenn; J M Janda; S J Lentsch; D Lindquist; P B Mayhew; D M Nothaft; J R Skinner; G B Williams; J Wong; B L Zimmer
Journal:  J Clin Microbiol       Date:  1997-10       Impact factor: 5.948

9.  Evaluation of the 4-hour RapID NF Plus method for identification of 345 gram-negative nonfermentative rods.

Authors:  T T Kitch; M R Jacobs; P C Appelbaum
Journal:  J Clin Microbiol       Date:  1992-05       Impact factor: 5.948

10.  Comparison of MicroScan WalkAway system and Vitek system for identification of gram-negative bacteria.

Authors:  S Rhoads; L Marinelli; C A Imperatrice; I Nachamkin
Journal:  J Clin Microbiol       Date:  1995-11       Impact factor: 5.948

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.