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[综合多指标预后分析与败血症患者的序列器官衰竭评估]
Lilin Zhang1, Jinpeng Zhang2, Lyu Jin2
1Health Science Center, Yangtze University, Jingzhou 434020, Hubei, China.
Zhonghua wei zhong bing ji jiu yi xue
|December 27, 2023
概括
感染部位,抗血素 (AT),过敏性C反应蛋白 (hs-CRP) 和乳酸 (Lac) 的综合模型显著改善了败血症患者28天死亡率的预测. 这个模型提供了比单独的顺序器官衰竭评估 (SOFA) 得分更好的预后价值.
科学领域:
- 关键护理医学 关键护理医学
- 生物标志物 生物标志物
- 预测指标的预测指标
背景情况:
- 败血症对患者的生存构成重大威胁,需要准确的预后工具.
- 序列器官衰竭评估 (SOFA) 评分被广泛使用,但在预测败血症结果方面可能存在局限性.
- 预后指标的早期识别对于及时干预和改善患者管理至关重要.
研究的目的:
- 评估结合早期多重检测指标与败血症患者的SOFA得分的预后价值.
- 为了确定在败血症中28天死亡率的独立预后因素.
- 开发和评估用于败血症预后的预测模型.
主要方法:
- 对101名进入重症监护室的败血症患者进行了回顾性分析.
- 在入院时收集凝血指标,炎症标志物,血细胞计数,肝/功能和血液气体分析.
- 在入院后24小时内进行SOFA评分评估;根据28天生存率对患者进行分类.
- 多因素后勤回归和ROC曲线分析,以确定预后因素和模型预测性能.
主要成果:
- 与生存组相比,死亡组的SOFA得分更高,肺部感染率增加,PT/APTT延长,PTA/AT降低,hs-CRP,BUN,TBil,Lac升高,PLT降低.
- 28天死亡率的独立预测因素包括肺部感染,AT,hs-CRP,Lac和SOFA得分.
- 结合这些因素的综合模型显示,预测败血症预后的高AUC为0.936,明显超过单个指标.
结论:
- 仅仅SOFA评分就对败血症患者的预测能力有限.
- 使用感染部位,AT,hs-CRP和Lac的综合预测模型提供了卓越的预后准确性.
- 这种综合方法可以提高早期预测败血症死亡率.
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