Open Access<p>Co-Morbidity Patterns Identified Using Latent Class Analysis of Medications Predict All-Cause Mortality Independent of Other Known Risk Factors: The COPDGene<sup>®</sup> Study</p>
Author(s) -
Yisha Li,
M.F. Ragland,
Erin Austin,
Kendra A. Young,
Katherine Pratte,
John E. Hokanson,
Terri H. Beaty,
Elizabeth A. Regan,
Stephen I. Rennard,
Christina Wern,
Michael Jacobs,
Ruth TalSinger,
Barry J. Make,
Gregory L. Kinney
Publication year - 2020
Publication title -
clinical epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.868
H-Index - 58
ISSN - 1179-1349
DOI - 10.2147/clep.s279075
Subject(s) - medicine , latent class model , logistic regression , odds ratio , diabetes mellitus , statin , physical therapy , statistics , mathematics , endocrinology
Medication patterns include all medications in an individual's clinical profile. We aimed to identify chronic co-morbidity treatment patterns through medication use among COPDGene participants and determine whether these patterns were associated with mortality, acute exacerbations of chronic obstructive pulmonary disease (AECOPD) and quality of life.