SII,NLR,PLR和LMR的参考间隔:使用大数据进行非参数和精细R方法的比较
Clinical laboratory
|September 9, 2025
概括
对于SII,NLR,PLR和LMR等免疫炎症标志物的参考间隔在性别和计算方法之间存在显著差异. 与CLSI指南相比,refineR算法产生了更广泛的参考间隔,突出了对方法特定解释的需求.
科学领域:
- 临床化学 临床化学
- 血液学 血液学 血液学
- 生物统计学 生物统计学
背景情况:
- 系统性免疫炎症指数 (SII),中性粒细胞-淋巴细胞比率 (NLR),血小板-淋巴细胞比率 (PLR) 和淋巴细胞-单细胞比率 (LMR) 的广泛临床使用.
- 对于这些血液学标志物,需要建立和可比的参考间隔 (RIs).
- 现有的RI计算方法可能会产生不同的结果.
研究的目的:
- 在成人中计算和比较SII,NLR,PLR和LMR的参考间隔 (RIs).
- 为了评估RI,使用非参数的CLSI EP28-A3C:2010指南和refineR算法.
- 评估年龄和性别对这些RI的影响.
主要方法:
- 对293,585名成年人 (18-65岁) 的完整血清数据的回顾性分析.
- 两阶段异常排除过程应用于血液细胞计数.
- 计算SII,NLR,PLR和LMR;用非参数 (CLSI) 和精细R方法估计的RI,按年龄和性别分层.
主要成果:
- 在男性和女性之间观察到SII,NLR,PLR和LMR值的显著变化.
- 在所有参数中,refineR算法为男性产生了更高的下方和上方RI极限.
- 与CLSI相比,使用refineR算法计算时,基于年龄和性别的RI显示出更广泛的极限.
结论:
- 根据计算方法,免疫炎症标志物的 RI 值存在明显差异.
- 从CLSI指南中获得的参考间隔比从refineR算法中获得的更窄.
- 这些指数的方法特定解释是非常重要的,因为观察到的RI的变化.
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