基于肺不张/阻塞性肺炎的列线图可预测非小细胞肺癌患者淋巴结转移及病理N0分期的术后生存率。

A Nomogram Based on Atelectasis/Obstructive Pneumonitis Could Predict the Metastasis of Lymph Nodes and Postoperative Survival of Pathological N0 Classification in Non-small Cell Lung Cancer Patients.

作者信息

Liu Yi-Han, Wu Lei-Lei, Qian Jia-Yi, Li Zhi-Xin, Shi Min-Xing, Wang Zi-Ran, Xie Long-Yan, Liu Yu'e, Xie Dong, Cao Wei-Jun

机构信息

Department of Respiratory and Critical Care Medicine, Shanghai Pulmonary Hospital, Institute of Respiratory Medicine, School of Medicine, Tongji University, Shanghai 200433, China.

Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai 200433, China.

出版信息

Biomedicines. 2023 Jan 24;11(2):333. doi: 10.3390/biomedicines11020333.

UNLABELLED

The eighth TNM staging system proposal classifies lung cancer with partial or complete atelectasis/obstructive pneumonia into the T2 category. We aimed to develop nomograms to predict the possibility of lymph node metastasis (LNM) and the prognosis for NSCLC based on atelectasis and obstructive pneumonitis.

METHODS

NSCLC patients over 20 years old diagnosed between 2004 and 2015 were selected from the Surveillance, Epidemiology, and End Results (SEER) database. The nomograms were based on risk factors that were identified by Logistic regression. The area under the receiver operating characteristic (ROC) curve (AUC) was performed to confirm the predictive values of our nomograms. Cox proportional hazards analysis and Kaplan-Meier survival analysis were also used in this study.

RESULTS

A total of 470,283 patients were enrolled. Atelectasis/obstructive pneumonitis, age, gender, race, histologic types, grade, and tumor size were defined as independent predictive factors; then, these seven factors were integrated to establish nomograms of LNM. The AUC is 0.70 (95% CI: 0.694-0.704). Moreover, the Cox proportional hazards analysis and Kaplan-Meier survival analysis showed that the scores derived from the nomograms were significantly correlated with the survival of pathological N0 classification.

CONCLUSION

Nomograms based on atelectasis/obstructive pneumonitis were developed and validated to predict LNM and the postoperative prognosis of NSCLC.

未标注

第八版TNM分期系统建议将伴有部分或完全肺不张/阻塞性肺炎的肺癌归类为T2期。我们旨在基于肺不张和阻塞性肺炎开发列线图，以预测非小细胞肺癌（NSCLC）发生淋巴结转移（LNM）的可能性及预后。

方法

从监测、流行病学和最终结果（SEER）数据库中选取2004年至2015年间诊断的20岁以上NSCLC患者。列线图基于通过逻辑回归确定的危险因素构建。采用受试者操作特征（ROC）曲线下面积（AUC）来确认我们列线图的预测价值。本研究还使用了Cox比例风险分析和Kaplan-Meier生存分析。

结果

共纳入470,283例患者。肺不张/阻塞性肺炎、年龄、性别、种族、组织学类型、分级和肿瘤大小被确定为独立预测因素；然后，将这七个因素整合以建立LNM列线图。AUC为0.70（95%CI：0.694 - 0.704）。此外，Cox比例风险分析和Kaplan-Meier生存分析表明，列线图得出的分数与病理N0分类的生存情况显著相关。