Phenotypic Clusters Predict Outcomes in a Longitudinal Interstitial Lung Disease Cohort.

ABSTRACT:

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.

Methods

Using cluster analysis, novel ILD phenotypes were identified among subjects from a longitudinal ILD cohort, and outcomes were stratified according to phenotypic clusters compared with subgroups according to current American Thoracic Society/European Respiratory Society ILD classification criteria.

Results

Among subjects with complete data for baseline variables (N = 770), four clusters were identified. Cluster 1 (ie, younger white obese female subjects) had the highest

SUBMITTER: Adegunsoye A 

PROVIDER: S-EPMC5815877 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature