败血症患者的临床特征和预后因素:一项回顾性研究
Mengxia Yang1,2,3, Tengfei Chen1, Junhao Liu1,2,3
1Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China.
Journal of cellular and molecular medicine
|January 27, 2026
概括
这项研究确定了C反应蛋白 (CRP),TT,疾病严重程度,CA和ARDS作为败血症患者的关键死亡风险因素. 结合这些因素和传统中医 (TCM) 指标的综合预测模型显示出最佳的预后性能.
科学领域:
- * 医学信息学 医学信息学
- * 关键护理医学 关键护理医学
- * 传统中国医学 (TCM)
背景情况:
- * 败血症是一个重大的全球健康挑战,需要准确的预后工具.
- *现有的预后模型往往缺乏传统中医 (TCM) 原则的整合.
- *确定可靠的风险因素对于及时干预和改善患者结果至关重要.
研究的目的:
- * 调查败血症患者28天临床预后的风险因素.
- *使用统计模型评估已识别的风险因素的预测效果.
- * 探索TCM概念与西方医学指标的整合,以提高败血症预后.
主要方法:
- *对227名败血症患者 (2019-2023) 的临床数据进行了回顾性分析.
- *单变量和多变量逻辑回归以确定预后风险因素.
- * 接收器操作特征 (ROC) 曲线分析,以评估预测性能 (曲线下的面积 - AUC).
主要成果:
- *C-反应蛋白 (CRP),TT,疾病严重程度,CA和ARDS被确定为独立的死亡风险因素.
- *一个结合了这些因素的预测模型实现了最高的AUC,表明了最佳的性能.
- *单变量分析表明血静止综合征是显著的预后因素 (OR=2.49,p=0.014).
结论:
- *CRP,TT,疾病严重程度,CA和ARDS是败血症死亡率的关键独立预测因素.
- * 开发的综合模型为败血症预后提供了强大而稳定的框架.
- *将TCM宏观模式差异化与西方医学指标相结合,为综合性败血症管理提供了一个有前途的方法.
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