入院时GCS评分结合脉压差列线图对高血压脑出血患者预后的预测作用

摘要/Abstract

摘要： 目的使用列线图（Nomogram）分析入院时格拉斯哥昏迷评分（Admission Glasgow Coma Scale,AGCS）结合入院时脉压差（Admission Pulse Pressure Difference,APPD）的数据模型（AGP模型）预测高血压脑出血（hypertensive intracerebral hemorrhage,HICH）患者的预后。方法回顾性分析366例HICH患者的临床资料。将出院时mRS评分为0-2分归为预后良好组,mRS评分为3-6分归为预后不良组。获取患者的AGCS、APPD,使用Nomogram建立AGP模型,预测患者的预后。结果 AGP模型对于患者的预后具有很好的预测性。我们使用受试者工作曲线（ROC）来检测AGP模型,得出曲线下面积（AUC）为0.887,最佳截断值（Optimal Cutoff Value）为0.613,95%可信区间（Credible Interval 95%CI）为（0.929 0.741）。结论使用AGP模型对HICH患者预后进行预测,有助于及时发现患者病情、指导临床诊断和治疗及评估预后。

关键词: 格拉斯哥昏迷评分, 脉压差, mRS评分, 预后

罗全芳, 王超英, 林江川, 郑志哲, 李光海. 入院时GCS评分结合脉压差列线图对高血压脑出血患者预后的预测作用[J]. 心血管病防治知识, 2022, 12(32): 37-40.

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