Effect of age on anion gap in clinically normal Quarter Horses.

This research article investigates the impact of age on the anion gap in healthy Quarter Horses. It reveals that the anion gap varies among horses of different ages, with young foals showing a higher anion gap than 2-year-old horses due to factors such as hyperphosphatemia and lower calcium levels.

Study Overview

• The study aimed to understand the effect of age on the anion gap (AG) in clinically healthy Quarter Horses.
• AG is calculated using the formula: AG = (Na + K) – (Cl + HCO3), where Na is Sodium, K is Potassium, Cl is Chloride, and HCO3 is Bicarbonate.
• The sample population comprised of 10 foals of different age groups (0.5 to 3 days, 2 to 3 weeks, and 5 to 7 weeks), 10 yearlings, and 10 two-year-old horses.

Key Findings

• The mean AG for each of the groups varied. The results showed mean AG values of 12.8 mEq/L, 15.2 mEq/L, 14.0 mEq/L, 12.3 mEq/L, and 10.4 mEq/L respectively for the different groups.
• Foals from 2 to 7 weeks old consistently demonstrated an AG 4 to 5 mEq/L higher than that of 2-year-old horses.
• The higher AG values in 2- to 7-week-old foals could partly be attributed to hyperphosphatemia (an excess of phosphate in the blood) contributing 2 mEq/L and lower calcium values contributing 0.4 mEq/L.
• Lower globulin concentrations in young foals could also promote a higher AG.

Implications

• Understanding the AG could be useful in diagnosing and assessing the prognosis of metabolic imbalances in horses.
• The study underscores the importance of factoring in the age of the horse when interpreting AG values.
• Reference intervals for AG assessments should be adjusted for age to improve their applicability in foals.

Overall Significance of the Study

• This study provides valuable insights that could influence the medical evaluation and treatment of horses, particularly in identifying and managing metabolic disorders.
• The findings also set a precedent for researchers to further investigate the influence of different factors on AG like diet, breed, and individual health condition apart from age.