Predictors of clinical feature change in stable-state.

Linear regression models were used to estimate predictors of change in clinical features and were adjusted for age, sex, body mass index, and smoking pack-years. Inflammatory markers were used as independent variables to predict changes in all clinical features of patients. ß represents the change in a clinical feature associated with a one-unit change in biomarker expression. *Denotes statistical significance. MAP: mean arterial pressure. Predictors of clinical feature change in stable-state.