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序列血小板计数作为败血病患者医院死亡率的动态预测标记

Qian Ye¹, Xuan Wang¹, Xiaoshuang Xu¹

¹Department of Biostatistics, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, Nanjing, Jiangsu 211166, China.

|June 17, 2024

概括

血小板计数的动态变化对于预测败血症死亡率至关重要. 血小板数量的快速下降表明风险更高,为预后和重症监护室患者的护理提供了信息.

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
医疗信息学医学信息学

背景情况:

血小板对于血液静止和炎症至关重要.
低血小板数量和活性与严重疾病的预后不佳相关.
败血症患者经常表现出复杂的血小板计数动态.

研究的目的:

调查血小板计数动态与败血症住院死亡率之间的关系.
开发一个动态预测模型,用于实时评估败血症患者的死亡风险.
识别不同的血小板计数轨迹及其与败血症结果的关联.

主要方法:

使用eICU-CRD和MIMIC-IV数据库进行回顾性多队列研究.
关节潜伏类模型 (JLCM) 用于识别血小板计数轨迹.
逐步考克斯危险模型,以评估已识别的轨迹中的死亡风险.

主要成果:

确定了四个不同的血小板计数轨迹子组,每一个都与特定的死亡风险有关.
动态预测模型在第14天显示出比静态模型更好的性能 (C指数0.644vs0.617).
血小板计数动态没有显著改善早期预测的准确性 (第1天C指数0.713vs0.714).

结论:

血小板数量的快速下降是败血症患者的显著预后指标.
序列血小板测量为败血症管理提供了有价值的预后信息.
动态监测血小板计数可以提高重症监护机构的死亡风险预测.

关键词:

动态预测动态预测密集护理医学是密集护理的医学.联合潜伏类模型模型血小板计数的轨迹血小板计数的轨迹败血症这是一种败血症.

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