New Insights in Microbial Species Predicting Lung Function Decline in CF: Lessons from the MucoFong Project.
Aspergillus fumigatus
Candida albicans
cystic fibrosis
longitudinal analysis
mycobiota
Journal
Journal of clinical medicine
ISSN: 2077-0383
Titre abrégé: J Clin Med
Pays: Switzerland
ID NLM: 101606588
Informations de publication
Date de publication:
21 Aug 2021
21 Aug 2021
Historique:
received:
21
06
2021
revised:
09
08
2021
accepted:
18
08
2021
entrez:
27
8
2021
pubmed:
28
8
2021
medline:
28
8
2021
Statut:
epublish
Résumé
Several predictive models have been proposed to understand the microbial risk factors associated with cystic fibrosis (CF) progression. Very few have integrated fungal airways colonisation, which is increasingly recognized as a key player regarding CF progression. To assess the association between the percent predicted forced expiratory volume in 1 s (ppFEV1) change and the fungi or bacteria identified in the sputum, 299 CF patients from the "MucoFong" project were included and followed-up with over two years. The relationship between the microorganisms identified in the sputum and ppFEV1 course of patients was longitudinally analysed. An adjusted linear mixed model analysis was performed to evaluate the effect of a transient or chronic bacterial and/or fungal colonisation at inclusion on the ppFEV1 change over a two-year period.
Identifiants
pubmed: 34442021
pii: jcm10163725
doi: 10.3390/jcm10163725
pmc: PMC8396880
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : Association Vaincre la Mucoviscidose
ID : MucoFong 2.0; RF20160501626/1/1/275
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