Literature DB >> 7814534

Efficacy of microbial identification system for epidemiologic typing of coagulase-negative staphylococci.

D Birnbaum1, L Herwaldt, D E Low, M Noble, M Pfaller, R Sherertz, A W Chow.   

Abstract

The lack of an adequate typing system hampers our understanding of the epidemiology of infections caused by coagulase-negative staphylococci (CoNS). CoNS have become recognized as important nosocomial pathogens and the principal cause of infections associated with invasive devices. Sensitive, specific, and convenient methods are needed to evaluate whether implementing infection control guidelines reduces the risk of nosocomial infections from CoNS and other pathogens. The Microbial Identification System (MIDI) (Microbial ID Inc., Newark, Del.), a semiautomated system for fatty acid methyl ester analysis, shows considerable promise for clinical and epidemiologic applications. Its predictive accuracy and reliability were tested by using epidemiologically related and replicated CoNS isolates as well as CoNS from epidemiologically unrelated clinical infections, which were obtained from five established hospital culture collections in diverse geographic locations. Two hundred isolates were fully characterized in 5 days by one person using MIDI, and the results were similar to those produced by more expensive and time-consuming conventional typing methods. MIDI appears to be a useful screening tool that could be used before more expensive and labor-intensive molecular methods. It offers important advantages to hospital epidemiologists and clinical microbiologists who must identify and type CoNS isolates.

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Year:  1994        PMID: 7814534      PMCID: PMC263952          DOI: 10.1128/jcm.32.9.2113-2119.1994

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


  14 in total

Review 1.  Epidemiologic typing systems for coagulase-negative staphylococci.

Authors:  D Birnbaum; M Kelly; A W Chow
Journal:  Infect Control Hosp Epidemiol       Date:  1991-05       Impact factor: 3.254

2.  Identification of clinical isolates of gram-negative nonfermentative bacteria by an automated cellular fatty acid identification system.

Authors:  G J Osterhout; V H Shull; J D Dick
Journal:  J Clin Microbiol       Date:  1991-09       Impact factor: 5.948

3.  Optimal data processing procedure for automatic bacterial identification by gas-liquid chromatography of cellular fatty acids.

Authors:  E Eerola; O P Lehtonen
Journal:  J Clin Microbiol       Date:  1988-09       Impact factor: 5.948

4.  Limitations of semiquantitative method for catheter culture.

Authors:  A Sitges-Serra; J Liñares
Journal:  J Clin Microbiol       Date:  1988-05       Impact factor: 5.948

5.  Numerical analysis of fatty acid profiles in the identification of staphylococci.

Authors:  A G O'Donnell; M R Nahaie; M Goodfellow; D E Minnikin; V Hájek
Journal:  J Gen Microbiol       Date:  1985-08

6.  An endemic strain of Staphylococcus haemolyticus colonizing and causing bacteremia in neonatal intensive care unit patients.

Authors:  D E Low; B K Schmidt; H M Kirpalani; R Moodie; B Kreiswirth; A Matlow; E L Ford-Jones
Journal:  Pediatrics       Date:  1992-04       Impact factor: 7.124

7.  Application of gas-liquid chromatographic analysis of cellular fatty acids for species identification and typing of coagulase-negative staphylococci.

Authors:  P Kotilainen; P Huovinen; E Eerola
Journal:  J Clin Microbiol       Date:  1991-02       Impact factor: 5.948

8.  A common-source outbreak of Staphylococcus epidermidis infections among patients undergoing cardiac surgery.

Authors:  J M Boyce; G Potter-Bynoe; S M Opal; L Dziobek; A A Medeiros
Journal:  J Infect Dis       Date:  1990-03       Impact factor: 5.226

9.  CDC definitions for nosocomial infections, 1988.

Authors:  J S Garner; W R Jarvis; T G Emori; T C Horan; J M Hughes
Journal:  Am J Infect Control       Date:  1988-06       Impact factor: 2.918

10.  Molecular epidemiology of coagulase-negative staphylococci isolated from immunocompromised patients.

Authors:  L A Herwaldt; R J Hollis; L D Boyken; M A Pfaller
Journal:  Infect Control Hosp Epidemiol       Date:  1992-02       Impact factor: 3.254

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  13 in total

1.  Epidemiological typing of Bacillus spp. isolated from food.

Authors:  H Schraft; M Steele; B McNab; J Odumeru; M W Griffiths
Journal:  Appl Environ Microbiol       Date:  1996-11       Impact factor: 4.792

2.  Identification of clinical isolates of non-Enterobacteriaceae gram-negative rods by computer-assisted gas-liquid chromatography.

Authors:  J A Kellogg; D A Bankert; T M Brenneman; M A Grove; S L Wetzel; K S Young
Journal:  J Clin Microbiol       Date:  1996-04       Impact factor: 5.948

3.  Ribotype diversity of Listeria monocytogenes strains associated with outbreaks of listeriosis in ruminants.

Authors:  M Wiedmann; J L Bruce; R Knorr; M Bodis; E M Cole; C I McDowell; P L McDonough; C A Batt
Journal:  J Clin Microbiol       Date:  1996-05       Impact factor: 5.948

4.  Characterization of Escherichia coli isolates from different fecal sources by means of classification tree analysis of fatty acid methyl ester (FAME) profiles.

Authors:  Sylvie Seurinck; Ellen Deschepper; Bishaw Deboch; Willy Verstraete; Steven Siciliano
Journal:  Environ Monit Assess       Date:  2006-03-28       Impact factor: 2.513

5.  Limitations of the current microbial identification system for identification of clinical yeast isolates.

Authors:  J A Kellogg; D A Bankert; V Chaturvedi
Journal:  J Clin Microbiol       Date:  1998-05       Impact factor: 5.948

6.  Variation in Microbial Identification System accuracy for yeast identification depending on commercial source of Sabouraud dextrose agar.

Authors:  J A Kellogg; D A Bankert; V Chaturvedi
Journal:  J Clin Microbiol       Date:  1999-06       Impact factor: 5.948

7.  Mineralization of 2,4,6-trinitrophenol (picric acid): characterization and phylogenetic identification of microbial strains.

Authors:  J Rajan; K Valli; R E Perkins; F S Sariaslani; S M Barns; A L Reysenbach; S Rehm; M Ehringer; N R Pace
Journal:  J Ind Microbiol       Date:  1996-05

8.  Comparison of MIDI Sherlock system and pulsed-field gel electrophoresis in characterizing strains of methicillin-resistant Staphylococcus aureus from a recent hospital outbreak.

Authors:  R B Leonard; J Mayer; M Sasser; M L Woods; B R Mooney; B G Brinton; P L Newcomb-Gayman; K C Carroll
Journal:  J Clin Microbiol       Date:  1995-10       Impact factor: 5.948

9.  Epidemiological typing of Campylobacter isolates from meat processing plants by pulsed-field gel electrophoresis, fatty acid profile typing, serotyping, and biotyping.

Authors:  M Steele; B McNab; L Fruhner; S DeGrandis; D Woodward; J A Odumeru
Journal:  Appl Environ Microbiol       Date:  1998-07       Impact factor: 4.792

10.  Turkey fecal microbial community structure and functional gene diversity revealed by 16S rRNA gene and metagenomic sequences.

Authors:  Jingrang Lu; Jorge Santo Domingo
Journal:  J Microbiol       Date:  2008-10-31       Impact factor: 3.422

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