风险因素和模型构建用于脑内出血患者早期的神经恶化
Heng Zhou1, Dapeng Dai1, Kang Xie1,2
1Department of Neurosurgery, Institute of Neuroscience, Lianyungang Clinical College of Nanjing Medical University, The First People's Hospital of Lianyungang, Lianyungang, China.
Frontiers in neurology
|October 24, 2025
概括
这项研究确定了自发性脑内出血患者早期神经系统恶化的关键风险因素. 使用年龄,白细胞计数,同氨酸,血瘤扩张,混合标志和静脉压的预测模型显示出良好的预测效果.
科学领域:
- 神经学 神经学
- 医疗信息学 医疗信息学
背景情况:
- 自发性脑内出血 (ICH) 是一种危急的疾病,具有早期神经系统恶化的高风险.
- 确定END的预测因素对于及时干预和改善患者结果至关重要.
研究的目的:
- 为了调查与ICH患者的END相关的风险因素.
- 开发和验证IND在ICH的预测模型.
- 评估开发的预测模型的临床实用性.
主要方法:
- 450名ICH患者的回顾性分析,分为培训 (315) 和验证 (135) 集.
- 利用LASSO和多变量后勤回归来确定END的独立风险因素.
- 构建了一个名ogram模型,并使用ROC曲线,校准曲线和决策曲线分析 (DCA) 评估了其预测准确性.
主要成果:
- 确定了END的独立风险因素:年龄,白细胞计数 (WBC),同氨酸 (Hcy),血瘤扩张 (HE),混合体标志和入院静缩血压.
- 诺莫格拉姆模型表现出强大的预测性能,AUC为0.909 (训练) 和0.831 (验证).
- 该模型表现出良好的校准和临床实用性,正如Hosmer-Lemeshow测试和DCA所示.
结论:
- 年龄,WBC,Hcy,HE,混合标志和入院静脉压是ICH患者END的重要独立风险因素.
- 开发的诺莫格拉姆模型为预测ICH患者的END提供了有效的工具.
- 这种预测模型可以作为临床决策和管理策略的宝贵参考.
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