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Multicenter prospective cohort of approximately 1000 cystic fibrosis patients followed in the Ile de France during the 2009-2010 influenza season with the main objective to assess the effectiveness of antiviral vaccination (H1N1). All subjects will be included, without excluding factor. In particular populations at risk are additional infants 6 to 23 months, pregnant women and lung transplant will also be included. These people will be vaccinated with un-adjuvanted vaccine.
If flu symptoms until the results of PCR to confirm or refute the diagnosis of influenza, oseltamivir is administered in accordance with official recommendations and based on the results of the pharmacokinetic study.
Full description
Main objective : To investigate the clinical efficacy of pandemic influenza vaccine (H1N1) v patients with cystic fibrosis (CF)
Secondary objectives : Vaccine research
Epidemiological and clinical study :
Virological study :
Genomic study :
Search for susceptibility genes increase the risk:
Methodology :
Prospective, multicenter, nonrandomized. Multicenter prospective cohort of approximately 1000 CF patients followed in the Ile de France during the 2009-2010 influenza season
Product under consideration :
Influenza vaccine (H1N1) v pandemic will be administered. It will mainly adjuvanted vaccine but also the un-adjuvanted vaccine in subjects at risk: infants 6 to 23 months, pregnant women, transplant.
If flu symptoms until the results of PCR to confirm or refute the diagnosis of influenza, oseltamivir is administered in accordance with official recommendations and based on the results of the pharmacokinetic study.
Criteria :
Primary endpoint :vaccine efficacy
To determine vaccine efficacy VE on susceptibility, the measure used is the complement to 1 of the Hazard Ratio (HR hazard ratio) for the appearance of an influenza episode (Halloran, AJE, 1997). The existence of an effective vaccine will be tested by comparing HR 1. Using the HR measurement is preferred to that using the ratio of cumulative incidence rates among vaccinated than unvaccinated because of a change in the number of groups vaccinated / unvaccinated can occur over time.
Indeed, the immunization schedule now includes two doses given at 3 weeks / 1 month apart, even if it appears that the antibody response can be achieved in the first half after the first dose. It is possible that some subjects may be infected before the first dose after the first but before the second, or after receiving the full presentation. On the other hand, the date of infection could be similar to that of vaccination, a time when efficiency is not optimal.
In the primary analysis, individuals will be considered unvaccinated if they do not receive vaccination and during 15 days of initial vaccination. For the latter, a time-dependent variable representing the immunization status will take into account their relative contribution to periods vaccinated / unvaccinated. The analysis will be stratified by age groups corresponding to the quartiles of the population.
In secondary analysis, the investigators vary the initial term conferring protection, the investigators also consider only those who received the full vaccination schedule, it will also determine the impact of using the cumulative incidence rate in the vaccinated population initially and ultimately vaccinated.
Secondary endpoints:
Membership in the vaccination will be measured as a proportion, together with a confidence interval 95%, as well as the incidence of clinical influenza in vaccinated and unvaccinated cohorts.
The tolerance of pandemic influenza vaccine (H1N1) v will be evaluated by binomial confidence intervals. Individual factors leading to the decision of vaccination and immunization events will be determined by logistic regression.
The clinical expression is described by the percentages of symptom onset. An analysis of the frequency of symptoms in groups of vaccination will be carried out. Factors related to the presence of symptoms will be sought using logistic regression. The percentage of serious forms will be measured. Vaccine efficacy against serious will be measured using techniques described by causal analysis Hudgens & Halloran.
The longitudinal lung function of patients enrolled will be analyzed through the data provided in the patient tracking software in place in services. A mixed effects linear model will be used to analyze changes in respiratory function (including FEV) and test whether the infection is accompanied by a change in the current level of functioning or a change in the evolution Compared to the situation pre-infection.
The pan-genomic analysis will evaluate SNPs (Single Nucleotide Polymorphisms) associated with the presence of (1) a prolonged infection, (2) of immunoprotection, (3) infection, (4) of a severe infection. Some patients, corresponding to extreme forms of the disease (severe and not severe) has been genotyped, and the whole cohort will be genotyped at term. Each patient has been genotyped about 300,000 SNPs. It is generally accepted that an association in this case is "genomically significant" when the significance level is smaller than 10-7. Actual calculations made in the project analysis of modifier genes Pr Clément, which resulted in the cohort, showed that in the comparison of two cohorts of 500 subjects, it was possible to obtain a significant result genomically a difference of about 20% between frequencies of genotypes for SNPs not rare (> 5%), with a risk factor (FDR) of approximately 10%. For the analysis of two groups of 150 subjects, under the same conditions, the FDR, however, was close to 1. The staff here will be compared between the two terminals, and often unbalanced. It is hoped to highlight the differences in genotype frequency, if any, of the order of 20% or more, in the case of a comparison involving the entire cohort, but the investigators will probably find that imbalances are larger (> 50%) in the analysis of smaller subgroups. In any case, it will be important to try and validate this information through independent study.
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439 participants in 1 patient group
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Data sourced from clinicaltrials.gov
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