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来自多中心ICU数据的败血症中血小板计数轨迹的子类型
Kai Wang1, Dufu Lu1, Fang Wang2
1Department of Anesthesiology, Honghui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, People's Republic of China.
Scientific reports
|August 30, 2024
概括
败血症患者的血小板计数轨迹显著影响死亡风险. 血小板数量的下降表明28天死亡率更高,而血小板数量的上升与更好的结果和更短的ICU停留有关.
科学领域:
- 关键护理医学 关键护理医学
- 血液学 血液学 血液学
- 数据科学在医学中的数据科学
背景情况:
- 在ICU入院时的血小板减少 (血小板数量低) 与败血症患者的死亡率更高相关.
- 败血症期间血小板计数的动态变化及其预后价值仍然不清楚.
研究的目的:
- 在最初的ICU停留期间,在败血症患者中识别血小板计数轨迹的独特模式.
- 评估这些动态血小板模式与28天死亡率和其他临床结果的关联.
- 调查血小板轨迹和结果之间的关系中血小板缺血的调解作用.
主要方法:
- 在ICU入院的前四天内对纵向血小板计数数据的分析.
- 使用MIMIC-IV和eICU-CRD数据库来获取患者数据 (n=22,866).
- 采用先进的统计方法,包括多变量回归,倾向得分分析,双重稳定估计,梯度提升和反向概率权重,以进行稳定验证.
主要成果:
- 确定了三种血小板计数轨迹模式:上升 (AS),稳定 (ST) 和下降 (DS).
- 下降 (DS) 和稳定 (ST) 血小板计数轨迹与上升 (AS) 轨迹相比,与28天死亡率显著增加有关.
- 与下降 (DS) 患者相比,上升 (AS) 患者经历了更短的ICU停留时间,更低的SOFA得分和更多的无呼吸器日.
- 发现血小板缩显著调解了血小板计数轨迹和死亡率之间的关联.
结论:
- 纵向血小板计数轨迹是败血症患者风险调整后28天死亡率的重要预测指标.
- 血小板数量下降模式与较差的结果有关,突出显示了动态血小板监测的预后重要性.
- 血小板减少在血小板动态和败血症患者死亡率之间观察到的关系中起着关键的调解作用.
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