A nomogram to predict major complications in patients with early-stage non-small-cell lung cancer
10.3760/cma.j.issn.1001-4497.2017.02.005
- VernacularTitle:早期非小细胞肺癌VATS根治术并发症预测模型的建立——前瞻性多中心研究
- Author:
Shaodong WANG
;
Xizhao SUI
;
Fan YANG
;
Hui LI
;
Ke'neng CHEN
;
Zhi GAO
;
Yuqing HUANG
;
Songlei OU
;
Jun LIU
;
Jun WANG
;
- Keywords:
Carcinoma,non-small-cell lung;
Video-assisted thoracic surgery;
Postoperative complication Nomogram
- From:
Chinese Journal of Thoracic and Cardiovascular Surgery
2017;33(2):87-90,102
- CountryChina
- Language:Chinese
-
Abstract:
Objective To develop an easy-to-use nomogram to assist clinicians in predicting major postoperative morbidity in those non-small-cell lung canccr patients who underwent VATS lobectomy.Methods A perspective multi-center study was developed to analyze the major postoperative complications of 612 non-small-cell lung cancer patients who underwent VATS lobectomy.Muhivariable logistic regression was used to model postoperative morbidity and built the nomogram to accurately predict the major complications.Results There were 606 (99%) survivors and 6 (1%) mortality.A total of 32 patients suffered from major complications.Using logistic regression to predict major complications,preoperative model for ASA score,age ≥70 years and operation time > 150 nin were found to be the significant predictors(P < 0.05) of morbidity and were included in our model.Conclusion We propose a nomogram to enable clinicians to better estimate morbidity in patients with VATS lobectomy.