开发和对LEAN评分进行外部验证,以预测脑内出血后晚发作
Frederik J Reitsma1, Sander M J van Kuijk2, David J Werring3
1Department of Neurology, Maastricht University Medical Center+, Maastricht, Netherlands.
European stroke journal
|January 30, 2026
概括
一个新的LEAN得分预测了脑内出血后的晚期发作,与CAVE得分一样有效. 这个得分使用了简单的临床因素,可能有助于在高风险患者中诊断.
科学领域:
- 神经学 神经学
- 临床预测模型临床预测模型
- 发病学 (Epileptology) 是一个专业的学科.
背景情况:
- 在脑内出血 (ICH) 后预测晚期对于临床管理至关重要.
- 目前,CAVE评分是ICH后发作风险预测的主要工具.
- 需要替代性,务实的风险评分,用于ICH相关的发作.
研究的目的:
- 开发和验证一种新的,务实的风险预测评分,用于ICH后的晚期发作.
- 为了比较新的分数与现有的CAVE分数的表现.
主要方法:
- 使用了来自南林堡ICH注册 (2004-2009) 的衍生队列.
- 考克斯的比例危险分析确定了迟发作的独立预测因素.
- 外部验证在三个独立的队列中进行;模型比较使用c-statistic.
主要成果:
- 该LEAN得分是使用预测因素开发的:年轻年龄 (<65岁),叶腔出血,任何神经外科手术程序和早期发作.
- 在衍生队列中,LEAN得分显示出0.80的乐观度校正c统计.
- 外部验证证实了LEAN评分和CAVE评分之间的可比性.
结论:
- 使用易于访问的临床变量,LEAN评分在预测ICH后晚期发作方面表现与CAVE评分相当.
- 由于LEAN得分能够识别高风险患者,这可能有助于诊断,即使只观察到早期发作.
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