AI Article Synopsis
- The International Federation of Clinical Chemistry (IFCC) has set recommendations for determining biological reference values, suggesting a sample of at least 120 healthy individuals, which is often impractical.
- A new method is proposed in the paper that uses existing laboratory data, analyzing it to identify and remove outliers, thus allowing researchers to estimate reference intervals for health parameters without needing an exhaustive new sample.
- This approach has been successfully applied to Sarda dairy sheep and may be adaptable for establishing reference intervals in other animal species, age groups, and genders.
Article Abstract
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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| http://dx.doi.org/10.1016/j.tvjl.2007.08.002 | DOI Listing |
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