12 research outputs found

    Patients’ characteristics.

    No full text
    <p>BMI, body mass index; FEV1% pred, forced expiratory volume in 1 second % predicted; LCI, lung clearance index, SDS standard deviation score</p><p>Patients’ characteristics.</p

    Alpha-diversity of the upper and lower airways microbiomes from clinically stable children with CF.

    No full text
    <p>Alpha-diversity was calculated with the non parametric Shannon index (A), richness was estimated with the Chao1 estimate (B) and evenness was calculated based on the Shannon index (C). Alpha-diversity variation among nose, throat and sputum microbiome was analyzed with a linear mixed model with random effects for CF patients and paired comparisons were done with a Tukey post-hoc test for pairwise comparison.</p

    Descriptive analysis of the sequencing reads.

    No full text
    <p>(A) Distribution of the number of reads over the whole dataset. (B) Number of samples with detection of the indicated percentage of the microbiome at the genus level by culture. Strains isolated by culture were classified at the genus level and correspondence with the NGS dataset was analyzed.</p
    corecore