Abstract

ObjectiveProlonged length of stay (LOS) increases the economic burden on patients, therefore, optimizing LOS is a critical clinical challenge for physicians. This study aims to examine the correlation between the postoperative LOS and surgery-related adverse events after bullectomy. We defined prolonged postoperative LOS after bullectomy and analyzed the preoperative risk factors linked to prolonged LOS. MethodsIn this retrospective study, we analyzed patient data from thoracoscopic bullectomy performed at our hospital between January 2018 and December 2023. The receiver operating characteristic (ROC) curve was used to identify the optimal cut-off values defining prolonged LOS after bullectomy. It was then characterized as prolonged LOS. Patients were divided into prolonged and normal LOS groups based on their postoperative duration. Further, univariate and multivariate logistic regression analyses were performed to identify preoperative risk factors associated with prolonged postoperative LOS after bullectomy. ResultsAmong the 152 patients analyzed, binary logistic regression revealed a significant effect of surgery-related adverse events after bullectomy on the LOS (P < 0.001). A postoperative LOS exceeding 3 days was considered prolonged. Among the 152 patients, 38.2 % (58/152) experienced a prolonged LOS out of which 20.4 % (31/152) developed surgery-related adverse events. Multivariate regression analysis revealed that preoperative risk factors associated with prolonged LOS included age ≥60 years (OR = 3.052, 95%CI 1.226–7.586, P = 0.016), current smoking status (OR = 2.754, 95%CI 1.482–6.346, P = 0.025), and ASA grade 3 (OR = 4.783, 95%CI 2.356–9.131, P = 0.003). ConclusionIn summary, the postoperative length of stay beyond 3 days after bullectomy was considered prolonged. The preoperative risk factors associated with prolonged postoperative stays after bullectomy included age (over 60), current smoking, and grade 3 ASA. Therefore, quick identification and intervention in patients with these high-risk factors may promote rapid recovery.

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