UNASSIGNED: From January 2011 to December 2019, 2,798 patients undergoing segmentectomy or lobectomy for non-small cell lung cancer (NSCLC) were evaluated. Focusing on 709 mild COPD patients, excluding no COPD and moderate/severe cases, 3 models incorporating DLCO, predicted postoperative DLCO (ppoDLCO), and DLCO divided by the alveolar volume (DLCO/VA) were created for logistic regression. The Akaike information criterion and Bayes information criterion were analyzed to assess model fit, with lower values considered more consistent with actual data.
UNASSIGNED: Significantly higher proportions of men, current smokers, and patients who underwent an open approach were observed in the PPC group. In multivariable regression, male sex, an open approach, DLCO <80%, ppoDLCO <60%, and DLCO/VA <80% significantly influenced PPC occurrence. The model using DLCO/VA had the best fit.
UNASSIGNED: Different DLCO parameters can predict PPCs in mild COPD patients after lung resection for NSCLC. The assessment of these factors using a multivariable logistic regression model suggested DLCO/VA as the most valuable predictor.
■从2011年1月至2019年12月,评估了2,798例接受肺段切除术或肺叶切除术的非小细胞肺癌(NSCLC)患者。关注709名轻度COPD患者,不包括COPD和中度/重度病例,3个包含DLCO的模型,预测术后DLCO(ppoDLCO),和DLCO除以肺泡体积(DLCO/VA)进行逻辑回归。分析了Akaike信息准则和Bayes信息准则来评估模型拟合度,较低的值被认为与实际数据更一致。
■男性比例明显更高,当前吸烟者,在PPC组中观察到接受开放入路的患者。在多变量回归中,男性,一个开放的方法,DLCO<80%,ppoDLCO<60%,DLCO/VA<80%显著影响PPC发生。使用DLCO/VA的模型具有最佳拟合。
■不同的DLCO参数可以预测NSCLC肺切除术后轻度COPD患者的PPCs。使用多变量逻辑回归模型评估这些因素表明DLCO/VA是最有价值的预测因子。