对于患有败血症相关急性损伤的患者28天死亡率中的系统性免疫炎症指数的预测值和预测模型的构建
Lijuan Zhang1,2, Liyan Liu3, Guosheng Yan2
1Department of Nephrology, People's Hospital of Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
Journal of inflammation research
|November 18, 2024
概括
系统性免疫炎症指数 (SII) 可以预测败血症相关急性损伤 (S-AKI) 患者的死亡率. 一个开发的诺莫格拉姆模型,包括SII,有助于评估S-AKI患者的预后.
科学领域:
- 临界护理医学 临界护理医学
- 腎臟病學 (nephrology) 是一種醫學專業.
- 炎症生物标志物 炎症生物标志物
背景情况:
- 败血症相关的急性损伤 (S-AKI) 在重症监护病房 (ICU) 中构成了重大挑战.
- 在S-AKI患者中,全身免疫炎症指数 (SII) 的预后值需要进一步阐明.
- 早期识别高风险S-AKI患者对于及时干预和改善结果至关重要.
研究的目的:
- 评估系统性免疫炎症指数 (SII) 对在重症监护室 (ICU) 诊断为S-AKI的28天死亡率的预测能力.
- 开发和验证S-AKI死亡率的预测性诺莫格拉姆模型,包括SII和其他临床参数.
主要方法:
- 对216名进入ICU的S-AKI患者的回顾性分析.
- 接收器操作特征 (ROC) 曲线分析以确定最佳切断值和预测能力.
- 卡普兰-梅尔生存分析,考克斯回归,以及用于风险因子识别和模型验证 (C指数,决策曲线分析) 的名ogram构造.
主要成果:
- 系统性免疫炎症指数 (SII) 显示了S-AKI患者死亡风险的最高预测值.
- 与SII水平较低的患者相比,SII水平较高的患者的28天死亡率明显高 (86.7%对32.4%,P <0.001).
- 纳米图模型整合了年龄,呼吸衰竭,SII,器官功能障碍数,SOFA和APACHE II分数,显示出良好的预测效率 (C指数=0.682).
结论:
- 系统性免疫炎症指数 (SII) 是预测S-AKI患者预后的潜在生物标志物.
- 开发的诺莫格拉姆预后模型为评估S-AKI患者的死亡风险提供了有价值的工具.
- 这些发现可以指导临床决策和S-AKI管理的资源配置.
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