This article discusses a study that aimed to classify the progression of asthma by analyzing longitudinal data on lung function, eosinophilic status, and steroid use. The study utilized electronic medical record data from 350 adults with asthma over a 5-year period. The researchers identified six clusters based on the trajectories of these factors and found significant differences in exacerbation risk among the clusters. The study suggests that this multi-trajectory analysis may be a useful method for studying the complex progression of asthma over time.