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首页> 外文期刊>Journal of Thoracic Disease >Fat-free mass index is superior to body mass index as a novel risk factor for prolonged air leak complicating video-assisted thoracoscopic surgery lobectomy for non-small-cell lung cancer
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Fat-free mass index is superior to body mass index as a novel risk factor for prolonged air leak complicating video-assisted thoracoscopic surgery lobectomy for non-small-cell lung cancer

机译:无脂脂肪指数优于体重指数,是长期漏气并发电视辅助胸腔镜手术肺叶切除术治疗非小细胞肺癌的新危险因素

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摘要

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/m 2 , respectively. PAL cases in both male (16.9±1.5 vs . 17.4±1.5 kg/ 2 ; P=0.002) and female (14.0±0.9 vs . 14.6±1.1 kg/ 2 ; P 2 (23.7% vs . 14.3%; P=0.003) and female patients with FFMI 2 (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.
机译:背景:评价无脂肪质量指数(FFMI)是否可预测非小细胞肺癌(NSCLC)伴有电视辅助胸腔镜(VATS)肺叶切除术的长时间漏气(PAL)。方法:对2015年1月至2017年7月在我们机构进行前瞻性维护的数据库进行回顾性研究。将男女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组和低FFMI组。最初的单变量分析中的高FFMI组。然后进行了有效的多变量logistic回归分析以证明二分法FFMI的预测价值。结果:NSCLC的手术患者为1,091例(男616例,女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14.6 kg / m 2。男性(16.9±1.5 vs. 17.4±1.5 kg / 2; P = 0.002)和女性(14.0±0.9 vs. 14.6±1.1 kg / 2)的PAL病例; P 2(23.7%vs. 14.3%; P = 0.003 )和FFMI 2的女性患者(12.7%vs. 5.0%; P = 0.003)。较低的二分法FFMI也与更长的停气时间和住院时间(LOS)密切相关,最后,进行了多因素logistic回归分析二分法较低的FFMI [几率(OR)= 1.98; 95%置信区间(CI):1.33–2.96; P = 0.001]可以独立预测PAL的发生。结论:FFMI是PAL并发症的极好的分类危险因素VATS肺叶切除术在预测PAL方面比体重指数(BMI)优越得多。

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