Descriptive summary statistics for continuous variables included the number of observations, mean, SD, median, Q1, Q3, minimum, and maximum values. Two-sided 95% confidence intervals (CIs) were presented where applicable.
Descriptive summary statistics for categorical variables included frequency and percentages.
The trajectories of FEV1, FVC, FEV1/FVC, and FEF25-75% over time were characterized using a linear mixed model (LMM) for repeated measurements with random coefficients and an unstructured covariance matrix.
For time-to-event outcomes, including overall survival (OS), cumulative event-free survival times were evaluated using the Kaplan-Meier (KM) method. The KM graphs were presented along with the number of patients-at-risk at specified timepoints. Patients who were free from the event were censored at the last available date.
Count data (CLAD-BOS progression, hospitalization rates) per patient-year and 95% CIs were estimated using negative binomial regression models, including an offset for patient follow-up time.
Planned subgroup analyses of main outcomes were performed by region (EU/US), age (<55 years, ≥55 years), sex (male/female), race (White, Black or African American, Asian, Other, Not collected locally), FEV1/FVC ratio (<0.7, ≥0.7), rate of decline (<Q1, ≥Q1-<median, ≥median-<Q3, ≥Q3), Baseline Lung Allograft Dysfunction (yes/no), azithromycin use (yes/no), transplant type (single, bilateral). No multiplicity adjustments were applied due to the descriptive nature of the analyses.
Post-hoc analyses were conducted to further explore the disease trajectory and treatment effects in specific subpopulations and from the clinical diagnosis of BOS. The post-hoc analyses included alternative modeling approaches for FEV1 trajectory (linear spline mixed-effects models), alternative baseline definition using diagnosis date, and time-dependent Cox proportional hazards models for OS.
Analyses were performed using SAS, V. 9.4 or higher (SAS Institute, Cary, NC).>