Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2008
Prevalence, characterisation and clinical profiles of Shiga toxin-producing Escherichia coli in The Netherlands.
СтатьяПоддержка исследования: вне правительства СШАНазвание и аннотация: Перевод в очереди
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van Duynhoven Y T H P, Friesema I H M, Schuurman T, Roovers A, van Zwet A A, Sabbe L J M, van der Zwaluw W K, Notermans D W, Mulder B, van Hannen E J, Heilmann F G C, Buiting A, Jansen R, Kooistra-Smid A M D
Аннотация
Detection of Shiga toxin-producing Escherichia coli (STEC) in The Netherlands is traditionally limited to serogroup O157. To assess the relative importance of STEC, including non-O157 serogroups, stool samples submitted nationwide for investigation of enteric pathogens or diarrhoea were screened with real-time PCR for the presence of the Shiga toxin genes. Patients were selected if their stool contained blood upon macroscopic examination, if they had a history of bloody diarrhoea, were diagnosed with haemolytic uraemic syndrome, or were aged <6 years (irrespective of the bloody aspect of the stool). PCR-positive stools were forwarded to a central laboratory for STEC isolation and typing. In total, 4069 stools were examined, with 68 (1.7%) positive PCR results. The highest prevalence was for stools containing macroscopic blood (3.5%), followed by stools from patients with a history of bloody diarrhoea (2.4%). Among young children, the prevalence (1.0%) was not significantly higher than among random, non-bloody, stool samples from diarrhoeal patients (1.4%). STEC strains were isolated from 25 (38%) PCR-positive stools. Eleven O-serogroups were detected, including five STEC O157 strains. As serogroup O157 represented only 20% of the STEC isolates, laboratories should be encouraged to use techniques enabling them to detect non-O157 serogroups, in parallel with culture, for isolation and subsequent characterisation of STEC strains for public health surveillance and detection of outbreaks.