Phenotypic Clusters Predict Outcomes in a Longitudinal Interstitial Lung Disease Cohort

BACKGROUND: The current interstitial lung disease (ILD) classification has overlapping clinical presentations and outcomes. Cluster analysis modeling is a valuable tool in identifying distinct clinical phenotypes in heterogeneous diseases. However, this approach has yet to be implemented in ILD. MET...

詳細記述

保存先:
書誌詳細
出版年:Chest
主要な著者: Adegunsoye, Ayodeji, Oldham, Justin M., Chung, Jonathan H., Montner, Steven M., Lee, Cathryn, Witt, Leah J., Stahlbaum, Danielle, Bermea, Rene S., Chen, Lena W., Hsu, Scully, Husain, Aliya N., Noth, Imre, Vij, Rekha, Strek, Mary E., Churpek, Matthew
フォーマット: Artigo
言語:Inglês
出版事項: American College of Chest Physicians 2018
主題:
COPD
オンライン･アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC5815877/
https://ncbi.nlm.nih.gov/pubmed/28964798
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.chest.2017.09.026
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