Walton Raquel M
Department of Pathobiology, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
Vet Clin Pathol. 2012 Jun;41(2):175-81. doi: 10.1111/j.1939-165X.2012.00414.x. Epub 2012 Mar 5.
Subject-based reference values have been largely overlooked in veterinary medicine. These values represent longitudinal data rather than the cross-sectional data represented by standard population-based reference values. As such they provide information about biological and analytical variation. Inherent random variation of analytes around a homeostatic set point is referred to as biological variation; data on biological variation are underutilized in veterinary medicine and have multiple applications that include setting analytical goals, predicting the utility of population-based reference intervals (RIs), assessing the value of partitioning reference values, and evaluating the significance of changes in serial results. To generate these data, relatively few individuals are sampled for a short period of time. Given the difficulty of obtaining specimens from large number of healthy individuals to establish a cross-sectional RI for many veterinary species, especially exotic species, use of subject-based RIs is a practical alternative approach for the veterinary diagnostician. Furthermore, for the majority of biochemical analytes and even many hemostatic variables, population-based reference values are less sensitive than subject-based reference values for detecting pathologic changes in an individual. The focus of this review is the clinical usefulness of subject-based reference values and diagnostic implications for their use. Implementation of the concepts of biological variation, individuality, and reference change value (RCV) may allow large diagnostic laboratories to offer more sensitive reference values to assess health and detect disease.
基于个体的参考值在兽医学中很大程度上被忽视了。这些值代表纵向数据,而非基于标准群体的参考值所代表的横断面数据。因此,它们提供了有关生物学和分析变异的信息。分析物在稳态设定点周围的固有随机变异被称为生物学变异;生物学变异的数据在兽医学中未得到充分利用,并且有多种应用,包括设定分析目标、预测基于群体的参考区间(RI)的效用、评估划分参考值的价值以及评估系列结果变化的意义。为了生成这些数据,在短时间内对相对较少的个体进行采样。鉴于从大量健康个体获取标本以建立许多兽医物种(尤其是外来物种)的横断面RI存在困难,对于兽医诊断师而言,使用基于个体的RI是一种切实可行的替代方法。此外,对于大多数生化分析物甚至许多止血变量,基于群体的参考值在检测个体病理变化方面不如基于个体的参考值敏感。本综述的重点是基于个体的参考值的临床实用性及其使用的诊断意义。生物学变异、个体性和参考变化值(RCV)概念的实施可能使大型诊断实验室能够提供更敏感的参考值来评估健康状况和检测疾病。