Trumel Catherine, Monzali Céline, Geffré Anne, Concordet Didier V, Hourqueig Louise, Braun Jean-Pierre D, Bourgès-Abella Nathalie H
Central Medical Biology Laboratory, Université de Toulouse, Clinical Pathology and Histology Group, CREFRE, Université de Toulouse, INSERM, UPS, ENVT, Toulouse, France.
Bioservices Department, AmatsiGroup, Fontenilles, France.
J Am Assoc Lab Anim Sci. 2016;55(5):503-9.
The biologic variation associated with a clinical pathology result is important to consider before reference intervals (RI) are used. Most available RI are population-based RI, in which the analytical variability, interindividual variability, and intraindividual variability are confounded. In addition, when the intraindividual variability is considerably less than the interindividual variability, a population-based RI is insufficiently sensitive to detect changes in a subject over time. Here we determined the biologic variation and reference change value (RCV) of hematologic and biochemical variables in laboratory cats. Blood specimens from 14 (7 females and 7 males) overnight-fasted laboratory cats sampled 7 times (days 1, 2, 7, 14, 31, 42, and 100) were analyzed regarding hematology and biochemistry variables. For each variable, analytical, intraindividual, and interindividual coefficients of variation were estimated prior to calculation of the index of individuality and the RCV. RBC variables (count, Hgb, Hct, MCV, MCH, MCHC, and RBC distribution width) and 5 biochemical analytes (cholesterol, creatinine, triglycerides, ALP, and calcium) exhibited marked individuality, therefore indicating that subject-based reference intervals or RCV would be preferable when monitoring these variables in laboratory cats. Population-based RI were shown to be adequate for glucose and sodium, and both types of population and individual RI were similarly efficient for albumin, total protein, urea, ALT, AST, creatine kinase, chloride, carbon dioxide, iron, magnesium, inorganic phosphate, and potassium and reticulocyte, WBC, neutrophil, lymphocyte, monocyte, eosinophil, and platelet counts. The RCV determined in the present study provide a valuable tool for monitoring hematologic and biochemical variables in healthy laboratory cats.
在使用参考区间(RI)之前,考虑与临床病理结果相关的生物学变异非常重要。大多数现有的RI是基于群体的RI,其中分析变异性、个体间变异性和个体内变异性相互混淆。此外,当个体内变异性远小于个体间变异性时,基于群体的RI对检测个体随时间的变化不够敏感。在此,我们确定了实验猫血液学和生化变量的生物学变异及参考变化值(RCV)。对14只(7只雌性和7只雄性)过夜禁食的实验猫在7个时间点(第1、2、7、14、31、42和100天)采集的血液标本进行了血液学和生化变量分析。对于每个变量,在计算个体性指数之前,先估计分析变异系数、个体内变异系数和个体间变异系数。红细胞变量(计数、血红蛋白、血细胞比容、平均红细胞体积、平均红细胞血红蛋白含量、平均红细胞血红蛋白浓度和红细胞分布宽度)和5种生化分析物(胆固醇、肌酐、甘油三酯、碱性磷酸酶和钙)表现出明显的个体性,因此表明在监测实验猫的这些变量时,基于个体的参考区间或RCV可能更合适。基于群体的RI对葡萄糖和钠是足够的,而群体和个体两种类型的RI对白蛋白、总蛋白、尿素、谷丙转氨酶、谷草转氨酶、肌酸激酶、氯、二氧化碳、铁、镁、无机磷酸盐、钾以及网织红细胞、白细胞、中性粒细胞、淋巴细胞、单核细胞、嗜酸性粒细胞和血小板计数同样有效。本研究中确定的RCV为监测健康实验猫的血液学和生化变量提供了一个有价值的工具。