Interpreting Intrasample Test Result Variance in Veterinary Practice

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Lab results can sometimes show variance, even when the same sample is tested multiple times. This is called intrasample variability, and it is both expected and acceptable. Understanding this variance can help veterinarians make informed clinical decisions. 

What is Intrasample Variability?

Intrasample variability refers to the differences in test results when the same sample is run multiple times on the same or different analyzers. This can happen due to factors like sample type or testing methods. 

Example in Practice

Consider a diabetic dog undergoing a routine health check. Blood is collected and tested using a blood glucose meter (whole blood) and immediately processed for serum testing using an analyzer (serum). The glucose test results are likely to vary because of the different sample types and test methods used. 

Clinical Implications

If the varying results are close enough to lead to the same clinical decision, the variability is likely insignificant. However, if the results differ so much that they would lead to different clinical decisions, additional testing may be needed. 

Conclusion

Understanding and interpreting intrasample test result variance is crucial for accurate veterinary diagnosis and treatment planning. Veterinarians should be aware of this variability and consider it when making clinical decisions.