开发和验证一种新的诺莫格拉姆模型,该模型基于AIS患者的NAR和附带资产状态来预测不良结果
Jiajia Bao1, Yanbo Li1, Yang Zhang1
1The Neurology Department of West China Hospital, Sichuan University, Chengdu, China.
概括
使用中性粒细胞与白蛋白比率 (NAR) 和附带状态的新预后诺图谱准确地预测了急性缺血性中风 (AIS) 大血管封闭 (LVO) 患者的结果. 这个工具有助于预测患者的预后.
科学领域:
- 神经学 神经学
- 心血管医学 心血管医学
- 生物标志物 生物标志物
背景情况:
- 卒中仍然是全球死亡和残疾的主要原因.
- 急性缺血性中风 (AIS) 与前部大血管封闭 (LVO) 具有重大临床挑战.
- 对于AIS中的功能性结果的预测工具对于患者管理至关重要.
研究的目的:
- 开发和验证用于预测前部LVO.患者的AIS不良功能结果的预后诺莫.
- 评估中性粒细胞与白蛋白比率 (NAR) 的预测值和区域性乳腺质附带体 (rLMC) 状态.
主要方法:
- 追溯招募590名患有LVO的AIS患者.
- 患者被分为训练 (n=414) 和测试 (n=176) 队列.
- 使用校准图表,AUC,DCA,NRI和IDI评估的诺莫图表表表现.
主要成果:
- 中性粒细胞与白蛋白的比率 (NAR) 和附带状态 (rLMC) 是不利的3个月结果 (mRS 3-6) 的独立预测因素.
- 开发的诺米图表表现出良好的预测性能,AUC为0.848 (发展) 和0.840 (验证).
- 与缺乏NAR和rLMC的模型相比,名图显著提高了预测准确性.
结论:
- 中性粒细胞与白蛋白的比率 (NAR) 是一个可靠的独立预测器在AIS患者前部LVO.
- 整合NAR和rLMC的名录有效地预测了不利的结果.
- 需要进一步的大规模研究来验证和扩展这些发现.
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