Prognostication of hypocalcemia in dairy goats
Abstract
Metabolic diseases significantly affect the health, productivity and reproductive performance of goats. Therefore, accurate pr e diction and early diagnosis are extremely important for their effective treatment and prevention. The aim of this study was to inve s tigate the use of linear regression and ROC analyses for prognostication hypocalcemia in dairy goats. The study included clinically healthy (n = 321) and subclinically hypocalcemic (n = 216) pregnant and lactating animals. The concentration of total calcium and ionised calcium, the activity of total alkaline phosphatase and its bone and intestinal isoenzymes were determined in blood serum using standardised methods. According to linear regression analysis and ROC analysis, the determination of ionised calcium co n tent in the blood serum of goats has high diagnostic value for prognostication hypocalcemia, and it is advisable to measure total calcium concentration for monitoring studies of its metabolism. Based on the results of regression analysis, we did not find a stati s tically significant relationship between total calcium and its ionised fraction with the activity of total alkaline phosphatase and its bone and intestinal isoenzymes in the serum of goats, as the coefficients of determination in linear regression analysis were low. However, based on ROC analysis between these values, we found high diagnostic significance of total alk a line phosphatase and its isoenzymes for prognostication of hypocalcemia in goats.References
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