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一个基于nomogram的预后模型,用于淋巴瘤患者最初呈现出源不明的发烧

Lin Shen¹, Wenjing Young¹, Min Wu¹

¹Department of Hematology, Huadong Hospital Affiliated with Fudan University, Shanghai, 200040, People's Republic of China.

Journal of inflammation research

|November 12, 2024

概括

为淋巴瘤患者开发了一种新的预后模型,该患者的初始发烧来源不明 (FUO). 与国际预测指数 (IPI) 相比,这种名图可以改善风险评估和生存预测.

科学领域:

在瘤学瘤学.
血液学血液学血液学
生物统计学生物统计学

背景情况:

淋巴瘤患者呈现出源不明发烧 (FUO) 缺乏具体的临床分析和预后模型.
准确的风险评估和预后预测对于管理这些患者至关重要.

研究的目的:

开发和验证用于最初FUO的淋巴瘤患者的预后模型.
改善这种特定患者队列的风险分层和生存预测.

主要方法:

分析了555名初始FUO淋巴瘤患者的队列.
拉索·考克斯和多因素考克斯回归确定了独立的预后因素.
使用引导抽样,校准曲线,ROC分析和决策曲线构建并验证了一个名图.
使用卡普兰-梅尔曲线和Log排名测试,将名图的表现与国际预测指数 (IPI) 进行了比较.

主要成果:

通过使用风险因素开发了预后名录:细胞病理类型,性能状态,安纳堡阶段,血小板缺血和直接胆红素.
淋巴瘤患者最初FUO的淋巴瘤患者的风险分层显示出良好的一致性和有效性.
与IPI相比,新的名图显示出更好的预测性能 (更高的AUC值) 和更好的风险组差异化.
一个基于网页的动态生存率计算器是建立基于nomogram.

结论:

一个经过验证的预后诺图有效地预测了最初FUO的淋巴瘤患者的结果.
与传统的IPI相比,开发的nomogram提供了更好的风险分层和预测准确性.
在基于网络的计算器中实现增强了对生存率预测的临床实用性.

关键词:

IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI IPI 发烧发烧发烧淋巴瘤淋巴瘤是什么这个名字是名ogramogram.预后预后预后

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