Suppr超能文献

肺癌患者住院时间与术后生存率之间的关联:基于国家癌症数据库的倾向评分匹配分析

Association between length of stay and postoperative survival in patients with lung cancer: a propensity score matching analysis based on National Cancer Database.

作者信息

Kong Weicheng, Wang Haoran, Chen Yanyan, Xie Juntao, Huang Binhao, Fang Liang, Chen Wenjuan, Shao Wei, Zhang Jie

机构信息

Department of Thoracic Surgery, Putuo District People's Hospital, Zhoushan, China.

Department of Thoracic Surgery and State Key Laboratory of Genetic Engineering, Fudan University Shanghai Cancer Center, Shanghai, China.

出版信息

J Thorac Dis. 2023 Apr 28;15(4):1785-1793. doi: 10.21037/jtd-23-407. Epub 2023 Apr 26.

Abstract

BACKGROUND

Postoperative complications tend to result in prolonged hospitalization. The aim of this study was to investigate whether prolonged postoperative length of stay (LOS) can predict patient survival, particularly long-term survival.

METHODS

All patients undergoing lung cancer surgery between 2004 and 2015 were identified in the National Cancer Database (NCDB). The highest quintile of LOS (more than 8 days) was defined as prolonged length of stay (PLOS). We performed 1:1 propensity score matching (PSM) between the groups with and without PLOS (Non-PLOS). Excluding confounding factors, postoperative LOS was used as a surrogate for postoperative complications. Kaplan-Meier and Cox proportional hazards survival analyses were performed to analyze survival.

RESULTS

A total of 88,007 patients were identified. After matching, 18,585 patients were enrolled in the PLOS and Non-PLOS groups, respectively. Before and after matching, 30-day rehospitalization rate and 90-day mortality in the PLOS group were significantly higher than they were in the Non-PLOS group (P<0.001), indicating a potential worse short-term postoperative survival. After matching, the median survival of the PLOS group was significantly lower than that of the Non-PLOS group (53.2 63.5 months, P<0.0001). Multivariable analysis revealed that PLOS is independent negative predictor of overall survival [OS; hazard ratio (HR) =1.263, 95% confidence interval (CI): 1.227 to 1.301, P<0.001]. In addition, age (<70 or ≥70), gender, race, income, year of diagnosis, surgery type, pathological stage, and neoadjuvant therapy also were independent prognostic factors of postoperative survival for patients with lung cancer (all P<0.001).

CONCLUSIONS

Postoperative LOS could be taken as the quantitative indicator of postoperative complications of lung cancer in NCDB. In this study, PLOS predicted worse short-term and long-term survival independent of other factors. Avoiding PLOS could be considered to benefit patient survival after lung cancer surgery.

摘要

背景

术后并发症往往会导致住院时间延长。本研究的目的是调查术后住院时间延长(LOS)是否能预测患者的生存情况,尤其是长期生存情况。

方法

在国家癌症数据库(NCDB)中识别出2004年至2015年间所有接受肺癌手术的患者。将住院时间最长的五分之一(超过8天)定义为住院时间延长(PLOS)。我们在有和没有PLOS(非PLOS)的组之间进行了1:1倾向评分匹配(PSM)。排除混杂因素后,术后LOS被用作术后并发症的替代指标。进行了Kaplan-Meier和Cox比例风险生存分析以分析生存情况。

结果

共识别出88,007例患者。匹配后,PLOS组和非PLOS组分别纳入了18,585例患者。匹配前后,PLOS组的30天再住院率和90天死亡率均显著高于非PLOS组(P<0.001),表明术后短期生存可能更差。匹配后,PLOS组的中位生存期显著低于非PLOS组(53.2对63.5个月,P<0.0001)。多变量分析显示,PLOS是总生存[OS;风险比(HR)=1.263,95%置信区间(CI):1.227至1.301,P<0.001]的独立负性预测因素。此外,年龄(<70岁或≥70岁)、性别、种族、收入、诊断年份、手术类型、病理分期和新辅助治疗也是肺癌患者术后生存的独立预后因素(所有P<0.001)。

结论

术后LOS可作为NCDB中肺癌术后并发症的定量指标。在本研究中,PLOS独立于其他因素预测短期和长期生存较差。可以考虑避免PLOS以改善肺癌手术后患者的生存情况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc54/10183490/e1afc5455f63/jtd-15-04-1785-f1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验