7 research outputs found

    Computed Tomographic Changes in Patients with Cystic Fibrosis Treated by Combination Therapy with Lumacaftor and Ivacaftor

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    International audienceBackground: As Cystic Fibrosis (CF) treatments drastically improved in recent years, tools to assess their efficiency need to be properly evaluated, especially cross-sectional imaging techniques. High-resolution computed tomography (HRCT) scan response to combined lumacaftor- ivacaftor therapy (Orkambi®) in patients with homozygous for F508del CFTR has not yet been assessed.Methods: We conducted a retrospective observational study in two French reference centers in CF in Marseille hospitals, including teenagers (>12 years old) and adults (>18 years) who had received lumacaftor-ivacaftor and for whom we had at disposal at least two CT scans, one at before therapy and one at least six months after therapy start. CT scoring was performed by using the modified version of the Brody score.Results: 34 patients have been included. The mean age was 26 years (12-56 years). There was a significant decrease in the total CT score (65.5 to 60.3, p = 0.049) and mucous plugging subscore (12.3 to 8.7, p = 0.009). Peribronchial wall thickening (PWT) was significantly improved only in the adult group (29.1 to 27.0, p = 0.04). Improvements in total score, peribronchial thickening, and mucous pluggings were significantly correlated with improvement in FEV1 (forced expiratory volume in 1 s).Conclusions: Treatment with lumacaftor-ivacaftor was associated with a significant improvement in the total CT score, which was mainly related to an improvement in mucous pluggings

    Prevalence of Mycobacterium lentiflavum in cystic fibrosis patients, France

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    International audienceBackground: Mycobacterium lentiflavum is rarely isolated in respiratory tract samples from cystic fibrosis patients. We herein describe an unusually high prevalence of M. lentiflavum in such patients. Methods: M. lentiflavum, isolated from the respiratory tract of cystic fibrosis patients, was identified using both rpoB partial sequencing and detected directly in the sputum by using real-time PCR targeting the smpB gene. Results: M. lentiflavum emerged as the third most prevalent nontuberculous mycobacterial species isolated in cystic fibrosis patients in Marseille, France. Six such patients were all male, and two of them may have fulfilled the American Thoracic Society clinical and microbiological criteria for M. lentiflavum potential lung infection. Conclusions: M. lentiflavum was the third most common mycobacteria isolated in cystic fibrosis patients, particularly in six male patients. M. lentiflavum outbreaks are emerging particularly in cystic fibrosis patients

    Additional file 2: Figure S1. of Prevalence of Mycobacterium lentiflavum in cystic fibrosis patients, France

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    Clinical and microbiological data concerning two cystic fibrosis patients who yielded more than one M. lentiflavum isolate and who may fulfill the American Thoracic Society’s clinical and microbiological criteria for NTM lung infection. BMI: Body Mass Index. (PDF 121 kb

    Multivariate Analysis As a Support for Diagnostic Flowcharts in Allergic Bronchopulmonary Aspergillosis: A Proof-of-Concept Study

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    International audienceMolecular-based allergy diagnosis yields multiple biomarker datasets. The classical diagnostic score for allergic bronchopulmonary aspergillosis (ABPA), a severe disease usually occurring in asthmatic patients and people with cystic fibrosis, comprises succinct immunological criteria formulated in 1977: total IgE, anti-Aspergillus fumigatus (Af) IgE, anti-Af ``precipitins,'' and anti-Af IgG. Progress achieved over the last four decades led to multiple IgE and IgG(4) Af biomarkers available with quantitative, standardized, molecular-level reports. These newly available biomarkers have not been included in the current diagnostic criteria, either individually or in algorithms, despite persistent underdiagnosis of ABPA. Large numbers of individual biomarkers may hinder their use in clinical practice. Conversely, multivariate analysis using new tools may bring about a better chance of less diagnostic mistakes. We report here a proof-of-concept work consisting of a three-step multivariate analysis of Af IgE, IgG, and IgG4 biomarkers through a combination of principal component analysis, hierarchical ascendant classification, and classification and regression tree multivariate analysis. The resulting diagnostic algorithms might show the way for novel criteria and improved diagnostic efficiency in Af-sensitized patients at risk for ABPA
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