Estimating clinical chemistry reference values based on an existing data set of unselected animals

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• 作者：Corrado Dimauro ; Piero Bonelli ; Paola Nicolussi ; Salvatore P.G. Rassu ; Aldo Cappio-Borlino ; Giuseppe Pulina
• 关键词：Reference values ; Clinical chemistry ; Outliers ; Sheep
• 刊名：The Veterinary Journal
• 出版年：2008
• 出版时间：November 2008
• 年：2008
• 卷：178
• 期：2
• 页码：278-281
• 全文大小：108 K

文摘

In an attempt to standardise the determination of biological reference values, the International Federation of Clinical Chemistry (IFCC) has published a series of recommendations on developing reference intervals. The IFCC recommends the use of an a priori sampling of at least 120 healthy individuals. However, such a high number of samples and laboratory analysis is expensive, time-consuming and not always feasible, especially in veterinary medicine. In this paper, an alternative (a posteriori) method is described and is used to determine reference intervals for biochemical parameters of farm animals using an existing laboratory data set. The method used was based on the detection and removal of outliers to obtain a large sample of animals likely to be healthy from the existing data set. This allowed the estimation of reliable reference intervals for biochemical parameters in Sarda dairy sheep. This method may also be useful for the determination of reference intervals for different species, ages and gender.