全免疫性炎症和类风湿性关节炎全因死亡率的综合分析:基于数据库的方法,1999-2018年
Muradil Mardan1, Huoliang Zheng1, Qingyin Xu1
1Spine Center, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China.
Frontiers in immunology
|February 12, 2025
概括
全免疫炎症值 (PIV) 预测了类风湿性关节炎 (RA) 患者的死亡率,显示了与值效应的非线性关系. 较高的PIV水平表明在特定值以下的死亡风险增加,这表明其用于个性化RA治疗.
科学领域:
- 类风湿病学 类风湿病学
- 免疫学 免疫学 免疫学
- 生物标志物研究 生物标志物研究
背景情况:
- 类风湿性关节炎 (RA) 是一种慢性自身免疫性疾病,与全身炎症和死亡风险增加有关.
- 全免疫炎症值 (PIV) 是一种新的免疫-炎症活性生物标志物,但其在RA中的预后作用尚未研究.
研究的目的:
- 评估PIV与RA患者全因死亡率之间的关联.
- 调查非线性关系并确定PIV对RA死亡率的值影响.
主要方法:
- 利用了1999-2018年国家健康和营养检查调查 (NHANES) 中1882名RA患者的数据.
- 计算PIV并使用多变量Cox模型,受限立方线和细分回归分析其与死亡率的关联.
- 为了验证,进行了卡普兰-梅尔曲线和子组分析.
主要成果:
- 增加的PIV水平与RA患者全因死亡率的增加显著相关 (P趋势<0.001).
- 观察到一种非线性关系,在PIV = 302时具有值效应. 死亡风险在这个值以下增加,在这个值以上下降.
- 卡普兰-梅尔曲线显示,随着PIV四分位数的增加,生存率明显下降 (P < 0.001).
结论:
- PIV是RA患者全因死亡率的独立预测因素,表现出非线性关联和值效应.
- 这些发现表明,PIV可以成为分层死亡风险和指导RA个性化治疗策略的宝贵生物标志物.
关键词:
考克斯的比例危险模型.尼汉斯 (NHANES) 是一个名人.泛免疫性炎症的价值所有原因的死亡率.预后生物标志物 预后生物标志物类风湿性关节炎是一种类风湿性关节炎.分段回归分析细分回归分析系统性炎症 系统性炎症更多相关视频
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