Nutristasis Unit, Synnovis, Guy's and St. Thomas' Hospital NHS Trust, London, United Kingdom.
Br J Biomed Sci. 2024 Feb 28;81:12339. doi: 10.3389/bjbs.2024.12339. eCollection 2024.
Reference intervals (RIs) are a range of values that are supplied alongside laboratory measurements for comparison to allow interpretation of this data. Historically, RIs were referred to as the normal range. However, the perception of what is normal can lead to confusion in clinicians and unnecessary emotional distress in patients. RIs can be acquired using several methods. Laboratories may quote published studies or derive their own using established direct or indirect methods. Alternatively, laboratories may verify RIs provided by assay manufacturers using in-house studies. RIs have several limitations that clinicians should be aware of. The statistical methodology associated with establishment of RIs means that approximately 5% of "disease free" individuals will fall outside the RI. Additionally, the higher the number of tests requested, the higher the probability that one will be abnormal, and repeat results in an individual may show regression to the mean. Completion of studies for establishment of RIs can be expensive, difficult, and time consuming. Method bias and differences in populations can greatly influence RIs and prevent them from being transferable between some laboratories. Differences in individual characteristics such as age, ethnicity, and sex can result in large variation in some analytes. Some patients, such as those whose gender differs from that which was presumed for them at birth, may require their own RIs. Alternatively, a decision will need to be made about which to use. Overall, the issue common to these factors lies within interpretation. As such, RIs can be improved with better training in their use, combined with a better understanding of influences that affect them, and more transparent communication from laboratories in how RIs were derived.
参考区间(RI)是与实验室测量值一起提供的值范围,用于比较以解释这些数据。历史上,RI 被称为正常范围。然而,对正常范围的理解可能会导致临床医生产生混淆,并给患者带来不必要的情绪困扰。RI 可以通过多种方法获得。实验室可以引用已发表的研究,也可以使用已建立的直接或间接方法自行得出 RI。或者,实验室可以使用内部研究来验证试剂制造商提供的 RI。RI 存在一些限制,临床医生应该了解这些限制。与 RI 建立相关的统计方法意味着大约 5%的“无病”个体的检测结果将超出 RI。此外,请求的测试数量越多,出现异常的概率就越高,并且个体的重复结果可能会向平均值回归。建立 RI 的研究可能费用高、困难且耗时。方法偏差和人群差异会极大地影响 RI,从而阻止它们在一些实验室之间转移。个体特征(如年龄、种族和性别)的差异会导致某些分析物的差异很大。一些患者,例如那些出生时性别与预期不符的患者,可能需要自己的 RI。或者,需要决定使用哪一个 RI。总体而言,这些因素的共同问题在于解释。因此,通过更好地培训如何使用 RI,并结合对影响 RI 的因素的更好理解,以及实验室在如何得出 RI 方面更透明的沟通,可以改进 RI。