Literature DB >> 1433258

Nosocomial infection with Clostridium difficile investigated by pyrolysis mass spectrometry.

T D Cartmill1, K Orr, R Freeman, P R Sisson, N F Lightfoot.   

Abstract

Fifty-eight isolates of Clostridium difficile from two distinct outbreaks were examined for inter-strain similarity by pyrolysis mass spectrometry (PMS). The first outbreak began on a geriatric acute unit and spread to a long stay geriatric facility. PMS analysis showed that most isolates from both sites were indistinguishable. Isolates obtained in the preceding year from the long stay facility were found to be closely similar to these outbreak isolates. In the second, smaller outbreak on a female medical ward in another general hospital, PMS again showed that a single strain was probably responsible. Representative isolates from these two different outbreaks were shown to be distinct. The ability to compare rapidly large numbers of isolates of C. difficile makes PMS attractive for initial screening in suspected outbreaks, providing important information for outbreak management and allowing conventional typing methods to be concentrated on relevant isolates.

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Mesh:

Year:  1992        PMID: 1433258     DOI: 10.1099/00222615-37-5-352

Source DB:  PubMed          Journal:  J Med Microbiol        ISSN: 0022-2615            Impact factor:   2.472


  3 in total

1.  Defining and using microbial spectral databases.

Authors:  Jon G Wilkes; Katherine L Glover; Manuel Holcomb; Fatemeh Rafii; Xiaoxi Cao; John B Sutherland; Susan A McCarthy; Simon Letarte; Michel J Bertrand
Journal:  J Am Soc Mass Spectrom       Date:  2002-07       Impact factor: 3.109

2.  Prevalence and characterization of a binary toxin (actin-specific ADP-ribosyltransferase) from Clostridium difficile.

Authors:  Carina Gonçalves; Dominique Decré; Frédéric Barbut; Béatrice Burghoffer; Jean-Claude Petit
Journal:  J Clin Microbiol       Date:  2004-05       Impact factor: 5.948

3.  Identification of outbreak-associated and other strains of Clostridium difficile by numerical analysis of SDS-PAGE protein patterns.

Authors:  M Costas; B Holmes; M Ganner; S L On; P N Hoffman; M A Worsley; H Panigrahi
Journal:  Epidemiol Infect       Date:  1994-08       Impact factor: 2.451

  3 in total

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