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Symptom Assessment of Patients with Allergic Rhinitis Using an Allergen Exposure Chamber
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Published on: March 3, 2023

Identification of chronic rhinosinusitis phenotypes using cluster analysis.

Tsuguhisa Nakayama1, Daiya Asaka, Mamoru Yoshikawa

  • 1Department of Otorhinolaryngology, Jikei University School of Medicine, Tokyo, Japan. nakayama-t@jikei.ac.jp

American Journal of Rhinology & Allergy
|March 28, 2012
PubMed
Summary

This study identified four distinct chronic rhinosinusitis (CRS) phenotypes using cluster analysis. Findings reveal distinct patient groups based on nasal polyps (NPs) and eosinophil counts, aiding future CRS classification.

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Area of Science:

  • Otolaryngology
  • Immunology
  • Data Science

Background:

  • The pathophysiology of chronic rhinosinusitis (CRS) remains incompletely understood.
  • Current CRS classification in Europe and the US often relies on the presence or absence of nasal polyps (NPs).
  • Multiple factors beyond NPs contribute to CRS pathogenesis.

Purpose of the Study:

  • To investigate diverse chronic rhinosinusitis (CRS) phenotypes.
  • To utilize cluster analysis for identifying distinct CRS patient subgroups.
  • To explore the relationship between clinical factors and CRS phenotypes.

Main Methods:

  • A multicenter, retrospective analysis of prospectively collected data from 425 CRS patients.
  • K-means cluster analysis applied to identify CRS phenotypes.
  • Discriminant analysis used to determine key predictors of clustering.

Main Results:

  • Four distinct CRS clusters were identified.
  • Cluster 1 and 2: low peripheral and mucosal eosinophils, with Cluster 2 having higher polyp scores.
  • Cluster 3: high mucosal eosinophils, low polyps/symptoms; Cluster 4: severe polyposis.
  • Polyp score and mucosal eosinophil count were the strongest predictors.

Conclusions:

  • Distinct clinical phenotypes of chronic rhinosinusitis (CRS) were identified.
  • CRS was classified into four phenotypes based on nasal polyps (NPs) and mucosal eosinophil counts.
  • Further research is necessary to establish the clinical significance of these identified phenotypes.