Identification of asthma phenotypes in the US general population: A latent class analysis approach

Amaral, Rita; Pereira, Ana M; Jacinto, Tiago; Malinovsch, A; Janson, C; Alving, K; Fonseca, J. A.

http://hdl.handle.net/10400.22/14646

Use this identifier to reference this record.

Name:	Description:	Size:	Format:
COM_RitaAmaral_2019.pdf		124.85 KB	Adobe PDF	Download

Send Feedback

Authors

Abstract(s)

Combining clinical and physiological data from adults with asthma by means of unsupervised classification methods could provide a better taxonomy among the general asthma population. Therefore, we aimed to identify distinct phenotypes using latent class analysis (LCA), in adults with current asthma from the general population.

Keywords

Asthma Lung function

URI

http://hdl.handle.net/10400.22/14646

Citation

Amaral, R., Pereira, A. M., Jacinto, T., Malinovsch, A., Janson, C., Alving, K., & Fonseca, J. A. (2019). Identification of asthma phenotypes in the US general population: A latent class analysis approach. European Academy of Allergy and Clinical Immunology Congress, 74(S106), 295–296. https://doi.org/10.1111/all.13959