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

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.
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