OBJECTIVES The relationship between operating time and postoperative morbidity has not been fully characterized in lung resection surgery. We aimed to determine the variables associated to prolonged OT and their influence on postoperative complications after video-thoracoscopic lobectomy. METHODS Patients undergoing thoracoscopic lobectomy for lung cancer from December 2016 to March 2018, within the prospective registry of the Spanish Video-Assisted Thoracic Surgery Group were identified. Operating time was stratified by quartiles and complication rates analysed using chi-squared test. Primary outcomes included 30-day overall, pulmonary, and cardiovascular complications and wound infection. Multivariable logistic regression analyses were performed to identify variables independently associated to operating time and their influence on the occurrence of postoperative complications. RESULTS Data of 1518 cases were examined. Median operating time was 174 minutes (interquartile range: 130-210 minutes). Overall morbidity rates significantly increased with surgical duration (20.5% versus 34.4% in the 1st and 4th quartile, respectively, p < 0.05) and so did pulmonary complications (14.6% versus 26.4% in the 1st and 4th quartile, respectively, p < 0.05). Differences were not found regarding cardiovascular and wound complications. After multivariable logistic regression analysis, operating time remained as an independent risk factor for overall (OR, 2.05) and pulmonary complications (OR, 2.01). Male sex, ppoDLCO%, number of lymphatic stations harvested, pleural adhesions, fissures completeness, lobectomy site, surgeon seniority, individual video-thoracoscopic surgeon experience and fissureless technique were identified as predictive factors for long operative time. CONCLUSION Prolonged operating time is associated with increased odds of postoperative complications. Modifiable factors contributing to prolonged operating time may serve as a target for quality improvement.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.