Objectives: Our aim was to investigate the incidence and risk factors for prolonged air leak (PAL) in patients undergoing minimally invasive single-port pulmonary segmentectomy.
Methods: A retrospective analysis of all patients undergoing uniportal segmentectomy in our department from March 2015 to September 2023 was performed. Univariable, multivariable logistic regression analyses and machine learning were used to investigate risk factors for PAL (>5 days).