Logistic Regression Model for Prediction of Airway Reversibility Using Peak Expiratory Flow

BACKGROUND: Using peak expiratory flow (PEF) as an alternative to spirometry parameters (FEV1 and FVC), for detection of airway reversibility in diseases with airflow limitation is challenging. We developed logistic regression (LR) model to discriminate bronchodilator responsiveness (BDR) and then c...

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Detalles Bibliográficos
Autores principales: Shakeri, Javad, Paknejad, Omalbanin, Moghadam, Keivan Gohari, Taherzadeh, Maryam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Research Institute of Tuberculosis and Lung Disease 2012
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4153189/
https://www.ncbi.nlm.nih.gov/pubmed/25191401

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4153189/
https://www.ncbi.nlm.nih.gov/pubmed/25191401

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