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动脉样硬化心血管事件的生物标志物在类风湿关节炎:向生物标志物增强风险模型的验证
medRxiv : the preprint server for health sciences
|February 27, 2026
概括
通过将hsTnT和sTNFR1生物标志物添加到现有的临床风险因素中,可以更好地预测类风湿性关节炎患者的心血管疾病风险. 这样可以改善风险分层,提高预防性护理.
科学领域:
- 类风湿病学 类风湿病学
- 心脏病学 心脏病学
- 生物标志物发现发现
背景情况:
- 类风湿性关节炎 (RA) 显著增加心血管疾病 (CV) 风险,是导致死亡的主要原因.
- 在RA中改善心血管风险分层对于有效的预防策略和更好的患者结果至关重要.
研究的目的:
- 为了评估特定的生物标志物,当添加到临床风险因素,提高预测CV事件在类风湿性关节炎患者.
- 评估新风险模型的性能,使用诸如高灵敏性心脏特罗素T (hsTnT) 和可溶性TNF受体1 (sTNFR1) 等生物标志物.
主要方法:
- 一项嵌套病例控制研究使用RA患者的外部队列进行.
- 包括hsTnT和sTNFR1在内的生物标志物在队列进入时被评估并使用条件后勤回归分析.
- 用曲线下的面积 (AUC) 和净重新分类指数 (NRI) 来评估模型预测.
主要成果:
- 拉索回归发现hsTnT和sTNFR1与RA患者的CV事件有显著的关联.
- 在添加hsTnT和sTNFR1.1后,AUC从0.758 (仅临床因素) 增加到0.802.
- 16.3%的净重新分类指数 (NRI) 表明风险预测有所改善,特别是在随访期间没有CV事件的患者中.
结论:
- 选择的生物标志物 (hsTnT,sTNFR1) 增强了预测RA患者CV事件的模型的歧视性.
- 这些增强风险模型显示了改善关于RA预防护理的临床决策的潜力.
- 建议进行前性验证,以确认这些生物标志物增强风险模型的临床实用性.
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