今天的明天:在创伤性脑损伤后预测内压力治疗强度变化的动态因素
Shubhayu Bhattacharyay1,2,3, Florian D van Leeuwen4, Erta Beqiri5
1Division of Anaesthesia, University of Cambridge, Cambridge, UK. shubhayu@hms.harvard.edu.
Scientific reports
|January 2, 2025
概括
预测创伤性脑损伤 (TBI) 患者内压力 (ICP) 管理的变化是复杂的. 我们的模型确定了影响ICP治疗强度的关键患者因素,有助于个性化护理策略.
科学领域:
- 神经科学是一个神经科学.
- 密集护理医学 密集护理医学
- 医疗保健中的人工智能
背景情况:
- 在创伤性脑损伤 (TBI) 中的内压力 (ICP) 管理在重症监护室 (ICU) 之间有所不同.
- 了解ICP管理变化的患者级预测因素对于标准化护理至关重要.
- 来自TBI协作欧洲神经创伤有效性研究 (CENT) 研究的现有数据为分析提供了基础.
研究的目的:
- 确定影响ICP管理策略变化的患者级预测因素.
- 开发TBI患者治疗强度水平 (TIL) 的动态预测模型.
- 利用机器学习来理解ICP治疗调整的驱动因素.
主要方法:
- 使用循环神经网络开发TILTomorrow建模策略.
- 应用TimeSHAP (时间延长的夏普利添加式扩展) 用于变量贡献分析.
- 在51个ICU中使用844名ICP监测的TBI患者的前队列进行培训和验证.
主要成果:
- 该模型解释了第一天每日ICP管理变化中68%的变化,随后降至51%.
- 非治疗变量 (病理生理学,损伤严重程度) 占解释的81%.
- 关键预测因素包括先前的治疗,年龄,病变,ICP,代谢问题和神经功能;生物标志物也显示出重要性.
结论:
- 患者病理生理学和伤害严重程度是ICP管理变化的主要驱动因素,但ICU管理轨迹也预测了缓解.
- 虽然对升级和降级的预测准确度相似,但降级预测器更强大.
- 未测量的因素和临床医生的偏好导致了无法解释的变化,突出了通过动态标记来改善个性化的TBI护理的潜力.
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