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用于预测脑患者的长期存活率的动态名图

Thara Tunthanathip¹, Rakkrit Duangsoithong², Waranyu Kittirojkasem³

¹Division of Neurosurgery, Department of Surgery, Faculty of Medicine, Prince of Songkla University, Songkhla, 90110, Thailand. tsus4@hotmail.com.

Chinese neurosurgical journal

|August 7, 2025

概括

这项研究确定了脑 (BA) 患者长期存活的关键预测因素,并开发了一种经过验证的动态名谱,用于个性化预后,帮助临床决策.

科学领域:

神经学神经学
传染性疾病传染性疾病
医学统计医学统计

背景情况:

大脑 (BA) 具有显著的死亡和发病风险.
关于预测BA患者的长期存活率的研究有限.
准确的预后对于有效的临床管理至关重要.

研究的目的:

确定脑患者长期生存的独立预测因素.
开发和验证一个动态的诺姆图,用于个性化预测BA存活率.
为增强BA管理中的临床决策提供一个工具.

主要方法:

对205名脑患者进行了回顾性队列研究.
对人口统计,临床,实验室和成像数据的分析.
考克斯回归用于预后因子识别;使用C指数,校准图和ROC曲线开发和验证的名图.

主要成果:

确定了年龄,卡诺夫斯基性能状况,血液培养结果,凝血病,中性粒细胞与淋巴细胞的比率,带血病和尾BA作为预测因素.
开发了一种具有强大的预测性能的动态名录 (C指数0.855明显,0.701验证).
验证证实了名图的可靠性,可以预测长期生存率.

结论:

已开发了一种经过验证的动态野外图,用于预测脑患者的长期存活率.
这种交互式工具有助于个性化风险评估和临床决策.
为了更广泛的适用性,建议进行进一步的外部验证和改进.

关键词:

脑部,大脑.感染感染感染长期生存率长期生存率这个名字叫做Nomogram.预测预后预测预测幸存的生存方式

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