Open AccessEvaluating Triple Therapy Treatment Pathways in Chronic Obstructive Pulmonary Disease (COPD): A Machine-Learning Predictive Model
Author(s) -
Michael Bogart,
Yuhang Liu,
Todd E Oakland,
Marjorie Stiegler
Publication year - 2022
Publication title -
international journal of chronic obstructive pulmonary disease/international journal of copd
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 67
eISSN - 1178-2005
pISSN - 1176-9106
DOI - 10.2147/copd.s336297
Subject(s) - medicine , exacerbation , copd , lama , prednisone , retrospective cohort study , physical therapy
Inhaled triple therapy (TT) comprising a long-acting muscarinic antagonist, long-acting β 2 agonist, and inhaled corticosteroid is recommended for symptomatic chronic obstructive pulmonary disease (COPD) patients, or those at risk of exacerbation. However, it is not well understood which patient characteristics contribute most to future exacerbation risk. This study assessed patient predictors associated with future exacerbation time following initiation of TT.