构建一种用于预测肺癌患者慢性阻塞性肺病死亡率的新工具
Guo Hua1, Sanjun Chen2, Yifei Hu3
1Department of Emergency Medicine, Affiliated Jinhua Hospital, Zhejiang University School of Medicine, Jinhua, China.
Scientific reports
|October 22, 2025
概括
这项研究确定了肺癌患者慢性阻塞性肺病 (COPD) 死亡率的关键风险因素. 开发了一个预测模型来评估COPD死亡风险,帮助临床决策.
科学领域:
- 在瘤学瘤学.
- 肺部病理学 肺部病理学
- 生物统计学 生物统计学
背景情况:
- 慢性阻塞性肺病 (COPD) 在肺癌患者中的发病率增加.
- 需要准确预测这一群体中COPD死亡率.
研究的目的:
- 在肺癌患者中确定COPD死亡率的危险因素.
- 开发和验证COPD死亡风险的预测模型.
主要方法:
- 使用了监测,流行病学和最终结果 (SEER) 数据库.
- 采用考克斯回归分析和卡普兰-梅尔曲线来识别风险因素.
- 构建了一个用ROC曲线,校准曲线和DCA验证的预测模型.
主要成果:
- 确定年龄,种族,性别,学年级,组织学,T/N阶段,手术,化疗,骨转移和婚姻状况作为独立的风险因素.
- 在训练 (AUC ~0.87-0.89) 和验证 (AUC ~0.88-0.90) 队列中实现了高预测准确性.
- 通过校准曲线和DCA证明了模型的可靠性,稳定性和临床实用性.
结论:
- 开发了一种强大的临床模型,用于预测肺癌患者的COPD死亡风险.
- 该模型支持个性化风险评估和治疗决策.
- 强调在肺癌管理中考虑COPD状态的重要性.
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