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Cluster analysis of phenotypes, job exposure, and inflammatory patterns in elderly and nonelderly asthma patients.

Yung-Chi ChuangHsin-Hua TsaiMeng-Chih LinChao-Chien WuYuan-Chung LinTsu-Nai Wang
Published in: Allergology international : official journal of the Japanese Society of Allergology (2024)
The novelty of the clusters was found in age-dependent clusters. We identified three distinct phenotypes with heterogeneous characteristics, asthma exacerbations and medicine use in nonelderly and elderly asthmatic patients, respectively. Classification of age-stratified asthma phenotypes may lead to precise identification of patients, which provides personalized disease management.
Keyphrases
  • end stage renal disease
  • chronic obstructive pulmonary disease
  • newly diagnosed
  • ejection fraction
  • chronic kidney disease
  • peritoneal dialysis
  • machine learning
  • oxidative stress
  • air pollution
  • allergic rhinitis