节的亚表型算法在毒症和血液恶性病症患者中表现不同
Lukas Ronner1, Heather M Giannini2, Todd A Miano3
1Division of Hematology and Oncology, Hospital of the University of Pennsylvania, Philadelphia, PA.
Critical care medicine
|July 10, 2025
概括
败血症亚类型化算法在患有恶性瘤的重症患者中表现不同. 这就是IL-6算法.
科学领域:
- 临界护理医学 临界护理医学
- 免疫学 免疫学 免疫学
- 在瘤学瘤学.
背景情况:
- 隐性类别分配算法可以识别针对性治疗的败血症子组.
- 这些算法对患有并发性恶性病的重症患者的概括性是不确定的.
- 恶性病可能会改变炎症生物标志物,可能会影响亚表型的准确性.
研究的目的:
- 通过两个算法来评估恶性瘤或中性衰竭是否改变了亚表型赋值.
- 为了评估潜在的ICU患者群体中活跃恶性瘤的算法性能.
主要方法:
- 美国单一四级转诊中心的前性队列研究.
- 包括930名患有败血症的ICU患者;396人患有活跃的恶性病变.
- 应用了两种使用IL-6或IL-8,TNFR1和二碳酸盐的亚表型算法.
主要成果:
- 血液恶性瘤患者在IL-8算法 (58%) 与IL-6 (32%) 之间显示出更高的"超炎症"分配.
- 在IL-8高炎症组中,白血病和中性衰竭的比例过高.
- 血液恶性瘤减弱了IL-6高炎症亚表型的死亡风险 (p=0.037) 但不是IL-8 (p=0.260).
结论:
- 亚表型化算法需要在特定人群中进行验证,例如危急癌症患者.
- 在血液恶性瘤中的差异算法行为需要独立的导出和验证.
- 了解可概括性至关重要,因为这些工具被认为是用于护理点的使用.
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