An Algorithm for the Diagnosis and Management of Severe Asthma in Children and Adolescents

Key Points

• Severe asthma affects about 2% of children but leads to high rates of morbidity and healthcare costs.
• An effective algorithm facilitates differentiation between true severe asthma and difficult-to-treat asthma.
• The proposed approach includes phenotype-driven diagnosis to tailor therapy for affected children.
• Implementing this algorithm could potentially optimize asthma management and improve patient outcomes.