TY  - GEN 
AU  - Betancor, D.
AU  - Olaguibel, J.M.
AU  - Rodrigo-Muñoz, J.M.
AU  - Arismendi, E.
AU  - Barranco, P.
AU  - Barroso, B.
AU  - Bobolea, I.
AU  - Cárdaba, B.
AU  - Cruz, M.J.
AU  - Curto, E.
AU  - Del Pozo, V.
AU  - González Barcala, Francisco Javier
AU  - Martínez-Rivera, C.
AU  - Mullol, J.
AU  - Muñoz, X.
AU  - Picado, C.
AU  - Plaza, V.
AU  - Quirce, S.
AU  - Rial Prado, Manuel Jorge
AU  - Soto, L.
AU  - Valero, A.
AU  - Valverde-Monge, M.
AU  - Sastre, J.
PY  - 2022
SN  - 2045-7022
UR  - http://hdl.handle.net/20.500.11940/20916
AB  - 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...
LA  - eng
TI  - How reliably can algorithms identify eosinophilic asthma phenotypes using non-invasive biomarkers?
DO  - 10.1002/clt2.12182
KW  - AS Santiago
KW  - CHUS
KW  - IDIS
KW  - AS Coruña
KW  - |CHUAC
KW  - INIBIC
VL  - 12
ER  -