基于实验室参数,开发和验证复发多重合体炎的诊断和活动评估模型
Yongmei Liu1, Linlin Cheng1, Mengzhu Zhao2,3
1Department of Clinical Laboratory, State Key Laboratory of Complex, Severe and Rare Diseases, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China.
Frontiers in immunology
|October 19, 2023
概括
这项研究确定了关键的实验室标记物,包括单细胞计数和中性粒细胞与淋巴细胞比率 (NLR),以帮助诊断复发性多重体炎 (RP) 并评估疾病活性. 这些具有成本效益的标记物可以帮助临床医生管理这种罕见的自身免疫性疾病.
科学领域:
- 免疫学 免疫学 免疫学
- 类风湿病学 类风湿病学
- 临床诊断 临床诊断 临床诊断
背景情况:
- 复发性多合体炎 (RP) 是一种罕见的自身免疫性疾病,其特征是软骨炎症.
- 目前的临床实践缺乏用于RP诊断和活动评估的既定生物标志物.
研究的目的:
- 开发和验证使用实验室参数用于RP诊断的模型.
- 评估RP疾病活动,并探索与病理过程的联系.
主要方法:
- 在2017年7月至2023年7月期间招募RP患者和健康对照 (HC).
- 收集的临床数据,包括复发性多合体炎疾病活动指数 (RPDAI) 得分和实验室测试.
- 分析了RP患者和HC患者之间的实验室数据差异,以及活跃和不活跃RP患者之间的差异.
主要成果:
- 一个结合单细胞计数和中性粒细胞与淋巴细胞比率 (NLR) 的模型将RP与HC区分开来 (AUC=0.845).
- 活跃的RP患者表现出较高的红细胞沉积率,补充3,血小板与淋巴细胞比率 (PLR),NLR和C-反应蛋白与白蛋白比率 (CAR),与RPDAI相关.
- 独立预测的C-反应蛋白与专蛋白比率 (CAR) 独立预测疾病活动 (OR=4.422) 和确定活跃患者 (AUC=0.758).
- 复制队列证实了单细胞NLR和CAR在诊断和活动预测中的实用性.
- 较低的自然杀手细胞和较高的B细胞水平可能表明疾病的发病.
结论:
- 实验室参数为RP诊断和疾病活动评估提供了具有成本效益的工具.
- 这些标记物可以帮助理解复发性多重合体炎的病理机制.
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