探索预后准确性:肺癌中恶性多发性溢液的诺莫格拉姆方法
Yongjie Jiang1, Xin Hu1, Yiluo Heibi2
1Department of Respiratory and Critical Care Medicine, Affiliated Hospital of North Sichuan Medical College, Nanchong, China.
BMC cancer
|February 10, 2025
概括
一种新型的诺米图准确地预测了肺癌患者患有恶性多叶流血 (MPE) 的预后. 它使用乳酸脱酶 (LDH) 水平和输出清晰度等关键因素来指导治疗决策.
科学领域:
- 在瘤学瘤学.
- 肺部医学 肺部医学
- 生物统计学 生物统计学
背景情况:
- 肺癌与恶性肺溢液 (MPE) 携带了一个糟糕的预后.
- 有效的预后工具对于指导干预和改善患者结果至关重要.
研究的目的:
- 开发和验证MPE肺癌患者的预测性名录.
- 在这个患者群体中确定预后的独立预测因素.
主要方法:
- 从MPE患者的临床和成像数据的回顾性分析.
- 使用LASSO回归和多变量逻辑回归开发和外部验证名图.
- 通过ROC曲线,校准曲线,Hosmer-Lemeshow测试和DCA评估预测性能,校准和临床效用.
主要成果:
- 开发了一个五个变量的名谱,包括多液乳酸脱酶 (LDH) 水平,输出清晰度,治疗方案,心周输出和总输出量.
- 诺米图表显示出高预测精度 (AUC:0.929-0.941) 和优异的校准.
- 决策曲线分析证实了临床效用,风险分层显示了显著的生存差异.
结论:
- 开发的诺米图准确地预测了初始诊断时MPE肺癌患者的预后.
- 关键预测因素包括LDH水平,输出清晰度,治疗,心周输出和输出量.
- 诺姆图的性能支持其在MPE患者的临床决策中使用.
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