Cluster analysis and prediction of treatment outcomes for chronic rhinosinusitis.

ABSTRACT:

Background

Current clinical classifications of chronic rhinosinusitis (CRS) have weak prognostic utility regarding treatment outcomes. Simplified discriminant analysis based on unsupervised clustering has identified novel phenotypic subgroups of CRS, but prognostic utility is unknown.

Objective

We sought to determine whether discriminant analysis allows prognostication in patients choosing surgery versus continued medical management.

Methods

A multi-institutional prospective study of patients with CRS in whom initial medical therapy failed who then self-selected continued medical management or surgical treatment was used to separate patients into 5 clusters based on a previously described discriminant analysis using total Sino-Nasal Outcome Test-22 (SNOT-22) score, ag

SUBMITTER: Soler ZM 

PROVIDER: S-EPMC4826845 | biostudies-literature | 2016 Apr

REPOSITORIES: biostudies-literature