POLE:在肺癌中开发和验证肺栓塞预测模型
Dongmei Wang1, Wei Xiong1,2, Xuan Huang1
1Department of Respiratory Medicine, Xin Hua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
概括
一个新的肺癌肺栓塞 (POLE) 模型准确预测肺癌患者的风险. 这种经过验证的工具的性能优于Khorana评分,改善了患者风险分层和管理.
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
- 医疗信息学 医疗信息学
背景情况:
- 与癌症相关的肺栓塞 (PE) 对肺癌患者构成重大风险.
- 在这个特定人群中,对于PE的现有预测模型是有限的.
- 准确的风险分层对于及时干预和改善患者结果至关重要.
研究的目的:
- 开发和验证肺癌患者癌症相关PE的新型预测模型.
- 评估模型的性能与已建立的风险分数 (如Khorana分数) 相比.
- 在临床实践中提供精确PE风险评估的工具.
主要方法:
- 用476名肺癌患者的回顾性队列来确定PE风险因素.
- 使用考克斯回归构建了一个预测性名图,即肺癌肺栓塞 (POLE) 模型.
- 对140名患者的单独队列进行了前性验证;模型性能与Khorana评分进行了比较.
主要成果:
- 波尔模型包含七个变量:激活的部分血栓形成时间,D-二次体,血清,碳水化合物抗原19-9,肺癌手术史,向治疗和年龄.
- 该模型在回顾性 (AUC:0.776) 和前性 (AUC:0.859在1个月) 验证中表现出强大的预测性能.
- 波尔模型的表现明显优于霍拉纳得分 (AUC为0.762比0.560) ,并且在风险层中显示PE概率的显著差异.
结论:
- 波尔模型是一种经过验证,准确和稳定的工具,用于预测肺癌患者癌症相关的PE.
- 它的表现超过了Khorana得分,提供了改进的风险分层能力.
- 该模型的临床实用性在于它能够识别高风险患者以针对性预防策略.
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