与败血性休克并发性低温症相关的临床特征:来自MIMIC-IV数据库的回顾性队列研究
Fen Tan1, Jinxiu Li1, Yang Xiao2
1Department of Critical Care Medicine, the Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, China.
European journal of medical research
|September 30, 2025
概括
低温会使性休克的结果恶化. 这项研究确定了五个关键预测因素:血红蛋白,心率,呼吸率,乳酸和多巴胺,以评估败血性休克患者的低温风险,帮助临床评估.
科学领域:
- 关键护理医学 关键护理医学
- 临床研究 临床研究
- 预测建模预测建模
背景情况:
- 败血性休克,严重的败血症并发症,死亡率很高.
- 低温会对感染性休克患者的预后和治疗产生负面影响.
- 连接败血症和低温的机制需要进一步阐明.
研究的目的:
- 为了确定与败血性休克患者低温相关的临床因素.
- 开发一个预测模型,用于低温风险在败血症休克.
- 改进对患有低温症的败血性休克患者的临床风险评估.
主要方法:
- 利用MIMIC-IV数据库 (2008-2019) 来获取败血症休克患者的数据.
- 采用单变量和多变量逻辑回归和机器学习.
- 构建了一个由ROC曲线分析验证的nomogram预测模型.
主要成果:
- 分析了1640名败血性休克患者 (134名低温患者).
- 血红蛋白,心率,呼吸率,乳酸和多巴胺被确定为重要的预测因子.
- 诺莫格拉姆的AUC为0.787,用于预测性休克下体温下降.
结论:
- 血红蛋白,心率,呼吸率,乳酸和多巴胺是败血性休克中低温的关键预测因素.
- 这些因素可以指导对败血症休克患者的临床风险评估.
- 开发的名图显示了有效低温风险评估的潜力.
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