Construction and validation of a nomogram for predicting chronic obstructive pulmonary disease with bronchiectasis

Female sex, hemoptysis, pulmonary tuberculosis history, Pseudomonas aeruginosa infection, globulin level, and mechanical ventilation duration are independent RFs for COPD-BE. The predictive model developed based on these factors demonstrated good predictive performance in internal validation. Pending further external validation, this nomogram holds promise as a useful tool to aid in the early identification of COPD-BE in clinical practice.