AORI-HAP:一种多维风险指数,用于预测喘恶化病例的住院不良结果
Lishan Yuan1, Chongyang Zhao2,3, Lei Wang1
1Division of Internal Medicine, Institute of Integrated Traditional Chinese and Western Medicine, West China Hospital, Sichuan University, Chengdu, China.
Frontiers in medicine
|December 26, 2025
概括
住院患者的喘结果风险指数 (AORI-HAP) 有效地预测了喘恶化的不良结果. 中性粒细胞与淋巴细胞比率 (NLR) 的升高是这些不良结果的关键预测因素和媒介.
科学领域:
- 肺部医学 肺部医学
- 临床免疫学临床免疫学
- 生物标志物发现发现
背景情况:
- 喘恶化 (AE) 是一个重大的临床挑战,目前的指导方针缺乏预测医院不良结果的工具.
- 在AE中免疫-炎症模式尚未完全理解,这阻碍了有效的风险分层.
- 需要多维的方法来改善预测在喘住院期间发生的严重事件.
研究的目的:
- 开发和验证住院患者的喘结果风险指数 (AORI-HAP).
- 整合多维预测因素来评估住院喘患者的风险.
- 调查免疫-炎症机制,有助于AE的不良结果.
主要方法:
- 一个现实世界的队列研究住院患者经历喘恶化.
- 单变量分析以确定生物标志物与复合结果 (死亡,ICU入院,侵入性通风) 之间的关联.
- 通过LASSO逻辑回归来得出AORI-HAP得分和调解分析来探索机械路径.
主要成果:
- 该AORI-HAP确定了五个关键预测因素:中性粒细胞与淋巴细胞比率 (NLR) 升高,AST/ALT比率升高,吸烟史,D-Dimer升高和高禁食葡萄糖.
- 每增加3分的AORI-HAP得分与一个额外的住院日相关 (β = 0.997).
- 该模型显示出高预测性能 (AUC 0.91),灵敏度为90.5%和特异性为69.6%.
结论:
- 该AORI-HAP能够为住院喘患者提供早期风险分层和个性化管理.
- 中性粒细胞与淋巴细胞的比率 (NLR) 起着重要的调解作用,突出了其作为预测生物标志物和治疗点的潜力.
- 该指数有助于更好地预测不良结果,并指导严重喘恶化时的临床决策.
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