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Article

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

Chest - 1 Feb 2018

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

Abstract excerpt

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,...

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Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

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Source

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Identifiers

PMID: 28964798
DOI: 10.1016/j.chest.2017.09.026
PMCID: PMC5815877

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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