How reliably can algorithms identify eosinophilic asthma phenotypes using non‐invasive biomarkers?

BACKGROUND AND AIMS: Asthma is a heterogeneous respiratory disease that encompasses different inflammatory and functional endophenotypes. Many non‐invasive biomarkers has been investigated to its pathobiology. Heany et al proposed a clinical algorithm that classifies severe asthmatic patients into l...

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Detalles Bibliográficos
Autores principales: Betancor, Diana, Olaguibel, José María, Rodrigo‐Muñoz, José Manuel, Arismendi, Ebymar, Barranco, Pilar, Barroso, Blanca, Bobolea, Irina, Cárdaba, Blanca, Cruz, María Jesús, Curto, Elena, Del Pozo, Victoria, González‐Barcala, Francisco‐Javier, Martínez‐Rivera, Carlos, Mullol, Joaquim, Muñoz, Xavier, Picado, Cesar, Plaza, Vicente, Quirce, Santiago, Rial, Manuel Jorge, Soto, Lorena, Valero, Antonio, Valverde‐Monge, Marcela, Sastre, Joaquin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9391921/
https://www.ncbi.nlm.nih.gov/pubmed/36000018
http://dx.doi.org/10.1002/clt2.12182

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9391921/
https://www.ncbi.nlm.nih.gov/pubmed/36000018
http://dx.doi.org/10.1002/clt2.12182

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