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Dataset Information

Cluster analysis-based clinical phenotypes of idiopathic interstitial pneumonias: associations with acute exacerbation and overall survival.


ABSTRACT:

Background

The precise classification of idiopathic interstitial pneumonia (IIP) is essential for selecting treatment as well as estimating clinical outcomes; however, this is sometimes difficult in clinical practice. Therefore, cluster analysis was used to identify the clinical phenotypes of IIPs, and its usefulness for predicting clinical outcomes was evaluated.

Methods

Cluster analysis was performed using clinical features including patients' demographics; histories; pulmonary function test data; and laboratory, physical and radiological findings.

Results

In 337 patients with IIPs, four clusters were identified: Cluster I, in which > 80% of the patients had autoimmune features; Cluster II, which had the lowest rate of smoking, the lowest percent predicted forced vi

SUBMITTER: Aoshima Y 

PROVIDER: S-EPMC7898746 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature