Legionnaires' Disease Clinical Trial
Official title:
Molecular Epidemiology of Legionellosis in Grenoble Region
The study aimed at further describing the epidemiological, clinical, diagnostic and prognostic features in legionellosis cases admitted to Grenoble University Hospital during the 2006-2011period. The investigators also tested lower respiratory samples collected from these patients during their routine medical care, using a number of molecular tools allowing determination of the involved Legionella species, the bacterial load, and the presence of antibiotic resistant mutants. Our primary goal was to define biological markers that could predict severity and outcome of infection in legionellosis cases requiring hospitalization.
Patients admitted to Grenoble University Hospital between 2006 and 2011 for severe
legionellosis were retrospectively included in the study.
Clinical, epidemiological, diagnostic and prognostic data of these patients were recorded
retrospectively.
Lower respiratory samples collected from these patients on a routine basis for
microbiological analysis, especially Legionella culture, were tested using traditional
microbiological methods. The remaining part of these samples was stored at -80°C fur further
molecular analyses.
The molecular tools developed by our bacteriology laboratory included the following: a
real-time polymerase chain reaction (qPCR) test allowing detection and differentiation of L.
pneumophila and other Legionella species; a qPCR test allowing determination of the
Legionella DNA load in lower respiratory samples; a qPCR allowing detection of gyrA (the
gene encoding subunit A of DNA gyrase) mutations that the investigators previously
determined to be correlated with fluoroquinolones resistance in L. pneumophila; a
high-throughput sequencing approach allowing confirmation of gyrA mutations and
determination of the percentage of mutated alleles.
The microbiological data, especially those obtained with the developped molecular tools,
were tentatively correlated with the severity and outcome of infection in our patients'
cohort.
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Observational Model: Cohort, Time Perspective: Retrospective
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