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首页> 外文期刊>World Journal of Surgical Oncology >Predictive factors for pleural drainage volume after uniportal video-assisted thoracic surgery lobectomy for non-small cell lung cancer: a single-institution retrospective study
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Predictive factors for pleural drainage volume after uniportal video-assisted thoracic surgery lobectomy for non-small cell lung cancer: a single-institution retrospective study

机译:非小型细胞肺癌胸膜肺切除术后胸腔排水量的预测因素:单机构回顾性研究

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摘要

To identify the predictive factors associated with pleural drainage volume (PDV) after uniportal video-assisted thoracic surgery (VATS) lobectomy for non-small cell lung cancer (NSCLC). A total of 440 consecutive NSCLC patients who underwent uniportal VATS lobectomy were enrolled in this study between November 2016 and July 2019. Thirty-four parameters, including patients’ clinicopathological characteristics and other potential predictors were collected. Daily drainage volume was summed up as PDV. Univariate analysis and multivariate regression models were fitted to identify independent predictive factors for PDV. The median PDV was 840 ml during the median drainage duration of 4 days. A strong correlation was observed between PDV and drainage duration (correlation coefficient = 0.936). On univariate analysis, age, forced expiratory volume in 1 s % predicted (FEV1%), left ventricular ejection fraction (LVEF), operation time, serum total protein (TP), and body mass index (BMI) showed a significant correlation with PDV (P value, ?0.001, ?0.001, 0.003, 0.008, 0.028, and 0.045, respectively). Patients with smoking history (P = 0.030) or who underwent lower lobectomy (P = 0.015) showed significantly increased PDV than never smokers or those who underwent upper or middle lobectomy, respectively. On multivariate regression analysis, older age (P 0.001), lower FEV1% (P 0.001), lower LVEF (P = 0.011), lower TP (P = 0.013), and lower lobectomy (P = 0.016) were independent predictors of increased PDV. Predictive factors of PDV can be identified. Based on these predictors, patients can be treated with tailored individualized safe chest tube management.
机译:为了鉴定非小型细胞肺癌(NSCLC)后的Uniportal视频辅助胸外科(VATS)肺切除术后与胸腔引流体积(PDV)相关的预测因子。在2016年11月至2019年7月期间,共有440名接受Uniportal Vats Lobectomy的NSCLC患者,从2016年11月期间注册了这项研究。收集了三十四个参数,包括患者的临床病理特征和其他潜在的预测因素。每日排水量总结为PDV。单变量分析和多变量回归模型被安装以确定PDV的独立预测因素。中位PDV在中位排水期为840毫升4天。在PDV和排水持续时间(相关系数= 0.936)之间观察到强烈的相关性。在单变量分析中,1秒预测(FEV1%)的年龄,强制呼气量,左心室喷射分数(LVEF),操作时间,血清总蛋白(TP)和体重指数(BMI)显示出与PDV的显着相关性(P值,<α0.001,<α0.001,00.003,0.008,0.028和0.045)。吸烟病史(P = 0.030)或接受较低的肺叶切除术(P = 0.015)的患者显示出显着增加PDV,而不是从不吸烟者或接受上部或中肺切除术的人。在多变量回归分析中,较旧的(P <0.001),降低FEV1%(P <0.001),低于LVEF(P = 0.011),降低TP(P = 0.013),下叶片术(P = 0.016)是独立的预测因子增加PDV。可以识别PDV的预测因素。基于这些预测因子,患者可以用定制的个性化安全胸管管理进行处理。

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