%0 Journal Article
%A Davila, I
%A Campo, P
%A Cimbollek, S
%A Almonacid-Sanchez, C
%A Quirce, S
%A Moreira, A
%A Ramirez, A
%A Soto-Campos, G
%T Cluster Subanalysis of Patients With Severe Asthma Who Responded to Omalizumab.
%D 2021
%@ 1018-9068
%U http://hdl.handle.net/10668/21740
%X Asthma is a heterogeneous disease that manifests with variations in signs and symptoms, age of onset, triggers, disease progression, pulmonary function, and airway inflammation [1]. Recently, significant efforts have been made to phenotype asthma, with the objective of identifying patients who are responsive to specific therapies [2]. The different methods used to phenotype asthma have generated bias [3]. In this sense, cluster approaches are one of the most frequently used unbiased techniques [4]. They are generally based on cohorts of patients analyzed using a cluster methodology, which gives rise to various phenotypes [5-7]. Here, we used an innovative contrasting approach, namely, a real-world study in which we selected patients with an excellent response to omalizumab (hyperresponders) and performed a cluster analysis to identify responder phenotypes.
%K Allergens and epitopes
%K Asthma
%K Eosinophils
%K IgE
%~