tetano
Editor, Senior Moderator
J Hosp Infect. 2012 Sep 23. pii: S0195-6701(12)00272-1. doi: 10.1016/j.jhin.2012.08.004. [Epub ahead of print]
Sequence-based identification and characterization of nosocomial influenza A(H1N1)pdm09 virus infections.
Jonges M, Rahamat-Langendoen J, Meijer A, Niesters H, Koopmans M.
Source
National Institute for Public Health and the Environment, Centre for Infectious Disease Control, Bilthoven, The Netherlands; Erasmus University Medical Center, Rotterdam, The Netherlands. Electronic address: marcel.jonges@rivm.nl.
Abstract
BACKGROUND:
Highly transmissible viruses such as influenza are a potential source of nosocomial infections and thereby cause increased patient morbidity and mortality.
AIM:
To assess whether influenza virus sequence data can be used to link nosocomial influenza transmission between individuals.
METHODS:
Dutch A(H1N1)pdm09-positive specimens from one hospital (N = 107) were compared with samples from community cases (N = 685). Gene fragments of haemagglutinin, neuraminidase and PB2 were sequenced and subsequently clustered to detect patients infected with identical influenza viruses. The probability of detecting a second patient was calculated for each hospital cluster against the background diversity observed in hospital and community strains. All clusters were further analysed for possible links between patients.
FINDINGS:
Seventeen A(H1N1)pdm09 hospital clusters were detected of which eight had a low probability of occurrence compared with background diversity (P < 0.01). Epidemiological analysis confirmed a total of eight nosocomial infections in four of these eight clusters, and a mother-child combination in a fifth cluster. The nine clusters with a high probability of occurrence involved community cases of influenza without a known epidemiological link.
CONCLUSION:
If a background sequence dataset is available, the detection of hospital sequence clusters that differ from dominant community strains can be used to select clusters requiring further investigation by hospital hygienists before a nosocomial influenza outbreak is epidemiologically suspected.
Copyright ? 2012. Published by Elsevier Ltd.
PMID:
23013789
[PubMed - as supplied by publisher]
http://www.ncbi.nlm.nih.gov/pubmed/23013789
Sequence-based identification and characterization of nosocomial influenza A(H1N1)pdm09 virus infections.
Jonges M, Rahamat-Langendoen J, Meijer A, Niesters H, Koopmans M.
Source
National Institute for Public Health and the Environment, Centre for Infectious Disease Control, Bilthoven, The Netherlands; Erasmus University Medical Center, Rotterdam, The Netherlands. Electronic address: marcel.jonges@rivm.nl.
Abstract
BACKGROUND:
Highly transmissible viruses such as influenza are a potential source of nosocomial infections and thereby cause increased patient morbidity and mortality.
AIM:
To assess whether influenza virus sequence data can be used to link nosocomial influenza transmission between individuals.
METHODS:
Dutch A(H1N1)pdm09-positive specimens from one hospital (N = 107) were compared with samples from community cases (N = 685). Gene fragments of haemagglutinin, neuraminidase and PB2 were sequenced and subsequently clustered to detect patients infected with identical influenza viruses. The probability of detecting a second patient was calculated for each hospital cluster against the background diversity observed in hospital and community strains. All clusters were further analysed for possible links between patients.
FINDINGS:
Seventeen A(H1N1)pdm09 hospital clusters were detected of which eight had a low probability of occurrence compared with background diversity (P < 0.01). Epidemiological analysis confirmed a total of eight nosocomial infections in four of these eight clusters, and a mother-child combination in a fifth cluster. The nine clusters with a high probability of occurrence involved community cases of influenza without a known epidemiological link.
CONCLUSION:
If a background sequence dataset is available, the detection of hospital sequence clusters that differ from dominant community strains can be used to select clusters requiring further investigation by hospital hygienists before a nosocomial influenza outbreak is epidemiologically suspected.
Copyright ? 2012. Published by Elsevier Ltd.
PMID:
23013789
[PubMed - as supplied by publisher]
http://www.ncbi.nlm.nih.gov/pubmed/23013789