An accurate prediction model to identify undiagnosed at-risk patients with COPD: a cross-sectional case-finding study

Underuse or unavailability of spirometry is one of the most important factors causing underdiagnosis of COPD. We reported the development of a COPD prediction model to identify at-risk, undiagnosed COPD patients when spirometry was unavailable. This cross-sectional study enrolled subjects aged ≥40 y...

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Detalles Bibliográficos
Autores principales: Su, Kang-Cheng, Ko, Hsin-Kuo, Chou, Kun-Ta, Hsiao, Yi-Han, Su, Vincent Yi-Fong, Perng, Diahn-Warng, Kou, Yu Ru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6538645/
https://www.ncbi.nlm.nih.gov/pubmed/31138809
http://dx.doi.org/10.1038/s41533-019-0135-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6538645/
https://www.ncbi.nlm.nih.gov/pubmed/31138809
http://dx.doi.org/10.1038/s41533-019-0135-9

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