Unsupervised cluster analysis has already been used to identify severe phenotypes of childhood asthma, but without taking into account inflammatory markers. The aim of this study was to define independent homogeneous phenotypic clusters of severe asthma in a cohort of asthmatic children.Cluster analysis was applied to 19 variables from 315 children enrolled in the Trousseau Asthma Program in Paris, France.Three independent clusters of asthma were identified. Cluster 1, asthma with severe exacerbations and multiple allergies: 103 children had more sensitisations to inhaled allergens and food allergens, more blood eosinophils and basophils, more uncontrolled asthma despite high doses of inhaled corticosteroid and more hospitalisations for exacerbation. Cluster 2, severe asthma with bronchial obstruction: 72 children were significantly older, had the highest body mass index, a lower forced expiratory volume in 1 s, more pronounced blood neutrophils and significantly higher levels of all classes of immunoglobulin (Ig), except IgE. Cluster 3, mild asthma: 140 children did not show statistically significant features.These results could lead to improved management of severe asthma in children by optimising treatment strategies, i.e. anti-allergic drugs, such as anti-IgE for children with the allergic phenotype, and anti-neutrophil drugs, such as macrolides for those with the obstructive phenotype.
NSAIDs use during acute viral infection is associated with an increased risk of empyema in children, and antibiotics are associated with a decreased risk. The presence of antibiotic-NSAIDs interaction with this risk is suggested. These findings suggest that NSAIDs should not be recommended as a first-line antipyretic treatment during acute viral infections in children.
Our data do not support biological screening at the time of a TIVAD insertion. We emphasise the contribution of a medical history of venous thromboembolism and prospective Doppler-US for identifying asymptomatic catheter venous thrombosis to select patients who may benefit from biological screening and possible anticoagulant therapy.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.