Shuang-Jiang Li1,2, Zhi-Qiang Wang3, Wen-Biao Zhang1,2, Yong-Jiang Li2, Shan Cheng2, Guo-Wei Che1, Lun-Xu Liu1. 1. Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu 610041, China. 2. West China Medical Center, West China Hospital, Sichuan University, Chengdu 610041, China. 3. Department of Thoracic Surgery, Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, Chongqing 400030, China.
Abstract
BACKGROUND: 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). METHODS: 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. RESULTS: 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/m2, respectively. PAL cases in both male (16.9±1.5 vs. 17.4±1.5 kg/m2; P=0.002) and female (14.0±0.9 vs. 14.6±1.1 kg/m2; 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/m2 (23.7% vs. 14.3%; P=0.003) and female patients with FFMI <14.6 kg/m2 (12.7% vs. 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. CONCLUSIONS: 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.
BACKGROUND: 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). METHODS: 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. RESULTS: 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/m2, respectively. PAL cases in both male (16.9±1.5 vs. 17.4±1.5 kg/m2; P=0.002) and female (14.0±0.9 vs. 14.6±1.1 kg/m2; 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/m2 (23.7% vs. 14.3%; P=0.003) and female patients with FFMI <14.6 kg/m2 (12.7% vs. 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. CONCLUSIONS: 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.
Entities:
Keywords:
Fat-free mass index (FFMI); prediction; prolonged air leak (PAL); video-assisted thoracoscopic surgery (VATS)
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