Li Shuang-Jiang, Wang Zhi-Qiang, Zhang Wen-Biao, Li Yong-Jiang, Cheng Shan, Che Guo-Wei, Liu Lun-Xu
Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu 610041, China.
West China Medical Center, West China Hospital, Sichuan University, Chengdu 610041, China.
J Thorac Dis. 2019 May;11(5):2006-2023. doi: 10.21037/jtd.2019.04.92.
To evaluate whether fat-free mass index (FFMI) could be predictive of prolonged air leak (PAL) complicating video-assisted thoracoscopic (VATS) lobectomy for non-small-cell lung cancer (NSCLC).
A retrospective study was conducted on the prospectively-maintained database in our institution between January 2015 and July 2017. The gender-specific median values of FFMI for males and females were applied as their respective cutoffs to stratify patients into low-FFMI group and high-FFMI group in initial univariable analyses. An effective multivariable logistic-regression analysis was then performed to demonstrate the predictive value of dichotomized FFMI.
There were 1,091 surgical patients with NSCLC included (616 males and 475 females), with a PAL incidence of 14.6%. The median FFMI values among males and females were 17.3 and 14.6 kg/m, respectively. PAL cases in both male (16.9±1.5 17.4±1.5 kg/m; P=0.002) and female (14.0±0.9 14.6±1.1 kg/m; P<0.001) groups had a significantly lower mean FFMI than that of non-PAL cases. The incidence of PAL was significantly increased in male patients with FFMI <17.3 kg/m (23.7% 14.3%; P=0.003) and female patients with FFMI <14.6 kg/m (12.7% 5.0%; P=0.003). Lower dichotomized FFMI was also significantly associated with prolonged time to air leak cessation and length of stay (LOS). Finally, multivariable logistic-regression analysis indicated that lower dichotomized FFMI [odds ratio (OR) =1.98; 95% confidence interval (CI): 1.33-2.96; P=0.001] could independently predict the occurrence of PAL.
FFMI acts as an excellent categorical risk factor for PAL complicating VATS lobectomy and shows a much superior significance than body mass index (BMI) in terms of the prediction of PAL.
评估无脂肪质量指数(FFMI)能否预测非小细胞肺癌(NSCLC)患者在电视辅助胸腔镜(VATS)肺叶切除术后发生持续性漏气(PAL)。
对2015年1月至2017年7月间我院前瞻性维护的数据库进行回顾性研究。在初始单变量分析中,将男性和女性FFMI的性别特异性中位数作为各自的临界值,将患者分为低FFMI组和高FFMI组。然后进行有效的多变量逻辑回归分析,以证明二分法FFMI的预测价值。
共纳入1091例NSCLC手术患者(男性616例,女性475例),PAL发生率为14.6%。男性和女性的FFMI中位数分别为17.3和14.6kg/m²。男性(16.9±1.5对17.4±1.5kg/m²;P=0.002)和女性(14.0±0.9对14.6±1.1kg/m²;P<0.001)PAL组的平均FFMI均显著低于非PAL组。FFMI<17.3kg/m²的男性患者(23.7%对14.3%;P=0.003)和FFMI<14.6kg/m²的女性患者(12.7%对5.0%;P=0.003)PAL发生率显著增加。较低的二分法FFMI也与漏气停止时间延长和住院时间(LOS)显著相关。最后,多变量逻辑回归分析表明,较低的二分法FFMI[比值比(OR)=1.98;95%置信区间(CI):1.33-2.96;P=0.001]可独立预测PAL的发生。
FFMI是VATS肺叶切除术后发生PAL的一个优秀分类危险因素,在预测PAL方面比体重指数(BMI)具有更显著的意义。