Background: Multidisciplinary systematic assessment improves outcomes in difficult-to-treat asthma, but without clear response predictors. Using a treatable-traits framework, we stratified patients by trait profile, examining clinical impact and treatment responsiveness to systematic assessment.
Methods: We performed latent class analysis using 12 traits on difficult-to-treat asthma patients undergoing systematic assessment at our institution.