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ABSTRACT: Background
The expression of chronic rhinosinusitis (CRS) is multidimensional. Disease heterogeneity in patients with CRS remains poorly understood. This study aimed to identify endotypes of CRS using cluster analysis by integrating multidimensional characteristics and to explore their association with treatment outcomes.Methods
A total of 28 clinical variables and 39 mucosal cellular and molecular variables were analyzed using principal component analysis. Cluster analysis was performed on 246 prospectively recruited Chinese CRS patients with at least 1-year postoperative follow-up. Difficult-to-treat CRS was characterized in each generated cluster.Results
Seven subject clusters were identified. Cluster 1 (13.01%) was comparable to the classic well-defined eosinoph
SUBMITTER: Liao B
PROVIDER: S-EPMC6019131 | biostudies-literature | 2018 Jul
REPOSITORIES: biostudies-literature