Machine learning models incorporating genotype and ancestry improve severe asthma risk prediction. [PDF]
Tahmin N +10 more
europepmc +1 more source
Adenotonsillar Microbiome Shifts in Children With Obstructive Sleep Apnea Syndrome
This study compares the microbiomes of adenoids and tonsils in pediatric OSAS patients and healthy controls using 16S rRNA sequencing. Significant differences were found in the tonsillar microbiome of OSAS patients, with lower alpha diversity and an overrepresentation of pathogenic genera like Haemophilus and Neisseria, while adenoid microbiomes showed
Oded Kraus +7 more
wiley +1 more source
Dupilumab Among Patients with Uncontrolled Severe Asthma in China: A Cost-Utility Analysis. [PDF]
Liu Z +6 more
europepmc +1 more source
Future Risk After Achieving Clinical Remission in Patients with Severe Asthma: A Comparison of Different Definitions. [PDF]
Rikimaru M +7 more
europepmc +1 more source
Validation and cross-cultural insights of the French translation of the Severe Asthma Questionnaire. [PDF]
Zhang L +7 more
europepmc +1 more source
Real-world evidence of tezepelumab for severe asthma: a retrospective multicentre cohort. [PDF]
Khateeb J +11 more
europepmc +1 more source
Biologic Therapies in Severe Asthma and Eosinophilic Granulomatosis with Polyangiitis: Targeted Therapy and Personalized Care. [PDF]
Kim SH.
europepmc +1 more source
Prediction Pathway for Severe Asthma Exacerbations: A Bayesian Network Analysis. [PDF]
Yadav CP +40 more
europepmc +1 more source
Erratum: Evaluating Safety and Effectiveness of Switching Biologics in Managing Severe Asthma Patients [Corrigendum]. [PDF]
europepmc +1 more source

