基于炎症和营养生物标志物的90天死亡率预测,开发和验证肺癌患者的90天死亡率
Zanqin Wang1, Wenzhen Xun1, Xiangxing Ma1
1Department of Cardiothoracic Surgery, Sanmen People's Hospital Taizhou 317100, Zhejiang, China.
American journal of cancer research
|September 15, 2025
概括
这项研究确定了高级非小细胞肺癌 (NSCLC) 短期死亡率的关键预测因素. 使用C-反应蛋白,白蛋白-6,乳酸脱酶和慢性肺炎的验证名录为NSCLC患者提供了精确的风险分层.
科学领域:
- 在瘤学瘤学.
- 生物统计学 生物统计学
- 临床医学 临床医学
背景情况:
- 晚期非小细胞肺癌 (NSCLC) 具有显著的短期死亡风险.
- 准确的预后工具对于有效的患者管理和治疗规划至关重要.
研究的目的:
- 确定第三阶段/第四阶段NSCLC患者短期死亡率的独立预后因素.
- 开发和验证一个用于个性化死亡风险评估的名录.
主要方法:
- 对455名III/IV期NSCLC患者的回顾性分析.
- 后勤和考克斯回归分析以确定预后因素.
- 使用AUC和一致性索引构建和验证名图.
主要成果:
- 甲基C反应蛋白 (CRP),干白素-6 (IL-6) 和乳酸脱酶 (LDH) 是增加死亡率的显著预测因素.
- 血清白蛋白 (ALB) 和东部合作瘤学集团 (ECOG) 绩效状态为0与降低死亡风险有关.
- 在培训和验证队列中,开发的名图显示出高准确性 (AUC > 0.89) 和一致性 (CI > 0.87).
结论:
- CRP,IL-6,ALB,LDH和COPD是高级NSCLC中短期死亡率的重要预测因素.
- 经过验证的名图是准确,个性化的风险分层的可靠工具.
- 这个工具可以帮助临床医生为NSCLC患者量身定制治疗策略.
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