This is reportedly the first attempt to classify asthma phenotypes in the elderly population.
The large research team from South Korea applied k-means cluster to 872 elderly patients with asthma (aged over 65 years) in a prospective, multicentered cohort over the course of 2 years.
4 phenotype clusters of elderly patients with asthma were identified:
- long symptom duration and marked airway obstruction
- female dominance and normal lung function
- smoking male dominance and reduced lung function
- high body mass index (BMI) and borderline lung function
Cluster grouping was predictive of asthma exacerbations. Decision-tree algorithm included 2 variables, FEV1 and smoking pack-years.