实验室检测对自身免疫性疾病的预测价值
Kellen J Begeman1,2, Mark J White2, Elizabeth S Moore1
1University of Indianapolis, Indianapolis, Indiana, USA.
Journal of clinical laboratory analysis
|October 24, 2025
概括
通过了解关键的实验室标志物,可以改善自身免疫疾病 (AD) 的诊断. 反核抗体 (ANA),补充C3,全球蛋白,MLR和BUN预测抗ENA,而C3,C4,pH,尿蛋白和NLR预测抗dsDNA.
科学领域:
- 免疫学和风湿病学
- 临床实验室科学 临床实验室科学
背景情况:
- 自身免疫性疾病 (AD) 在美国存在重大未满足的医疗需求.
- 准确有效地诊断AD对于有效的患者管理至关重要.
- 了解实验室分析的诊断价值对于医疗保健提供者来说至关重要.
研究的目的:
- 调查人口因素和一般实验室测试结果是否可以预测自身免疫性疾病患者中抗ENA和抗dsDNA抗体的存在.
- 评估特定实验室标记物在自身免疫性疾病诊断途径中的有用性.
主要方法:
- 采用了回顾性,非实验性研究设计,分析了从2018年到2021年的数据.
- 这项研究包括1495名阳性抗ENA抗体的人和1261名阳性抗dsDNA抗体的人.
- 用多个逻辑回归分析来确定抗体阳性的预测因素.
主要成果:
- 对于抗ENA预测,抗核抗体 (ANA),补充C3,血球蛋白,单细胞与淋巴细胞比率 (MLR) 和血尿素 (BUN) 在统计学上具有显著性 (p < 0.001).
- 对抗ENA的回归模型实现了98.6%的灵敏度和16.1%的特异性.
- 对于抗dsDNA预测,补充C3,补充C4,pH,尿蛋白和中性粒细胞与淋巴细胞比率 (NLR) 在统计学上具有显著性 (p < 0.001),敏感度为77.7%,特异性为64.5%.
结论:
- ANA,补充C3,血球蛋白,MLR和BUN是AD诊断中积极的抗ENA结果的重要预测因素.
- 补充C3,补充C4,pH,尿蛋白和NLR是诊断系统性红斑狼 (SLE) 的关键因素,当抗dsDNA阳性时.
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