单孔胸腔镜下肺癌术后胸腔引流时间的影响因素分析北大核心

目的:探讨单孔胸腔镜下肺癌手术术后胸腔引流时间的影响因素。方法:本研究采用回顾性分析方法,回顾我院2018年01月至2019年12月原发性肺癌患者经单孔胸腔镜手术治疗的病例199例。按照术后胸腔引流时间分为两组,Ⅰ组(术后胸腔引流时间<5天)和Ⅱ组(术后胸腔引流时间≥5天)。对于影响术后胸腔引流时间的可能因素在两组间先采用单因素分析的方法筛选,再将筛选出来的对术后胸腔引流时间可能有意义的影响因素进行二项Logistic多因素回归分析。结果:经单因素分析及二项Logistic多因素回归分析结果显示:年龄≥60岁、手术部位、肺段切除术、胸膜粘连、手术时间≥180 min、术后早期下床活动是术后胸腔引流时间的独立影响因素(P<0.05)。结论:对于具有多个延长术后胸腔引流时间的独立影响因素的患者,应制定个体化管理方案,尽可能减少术后胸腔引流时间,减少住院天数,加快患者康复。

Analysis of influencing factors of thoracic drainage time after lung cancer surgery under single port thoracoscopy

Objective:To investigate the influencing factors of thoracic drainage time after uniportal video－assisted thoracoscope surgery for lung cancer.Methods:199 patients with primary lung cancer who was operated by uniportal video-assisted thoracoscope surgery from January 2018 to December 2019 in our hospital were retrospectively analyzed.According to the length of postoperative thoracic drainage time,the patients were divided into two groups:Group Ⅰ（the postoperative thoracic drainage days<5 days) and group Ⅱ（the postoperative thoracic drainage days ≥ 5 days).The possible factors which may affect the length of postoperative thoracic drainage time were analyzed by univariate analysis between the two groups,and then the selected factors which may have significant to the length of postoperative thoracic drainage time were analyzed by binomial Logistic multivariate regression analysis.Results:The results of binomial Logistic multivariate regression analysis showed that age ≥ 60 years old,operation site,thoracoscopic segmentectomy,pleural adhesion,operation time ≥ 180 min and early postoperative ambulation were independent factors affecting the length of postoperative thoracic drainage time.Conclusion:Patients with multiple independent influencing factors of prolonging the length of postoperative thoracic drainage time,individualized management should be established for each patient to reduce the length of postoperative thoracic drainage time,reduce the days of hospitalization and speed up the recovery of patients.