Introduction: Although abnormalities in blood glucose concentrations in avian species are not as common as they are in mammals, the inability to provide point-of-care glucose measurement likely results in underreporting and missed treatment opportunities. In blood sampling procedure, very small volumes of blood can be obtained from birds. So, application of traditional laboratory methods in evaluation of blood biochemical factors such as glucose is restricted. The hand-held meters require only a microliter or less of blood, giving this method a distinct advantage over traditional laboratory methods. Objectives: Measurement of pigeon blood glucose concentration with Accu-Chek active Glucometer in Comparison with Standard Methods (Autoanalyzer Biotecnica Targa, 3000) to determine degree of correlation between them. Materials and methods: Brachial vein blood samples were obtained from 30 clinically healthy, adult pigeons (Columba livia). Glucose concentration was measured by a standard human glucometer (Accu-Chek active, Germany) in small volumes of blood and the remainder was placed into lithium heparin tubes in order to measure packed cell volume (PCV) and total erythrocyte count (nRBC) and to harvest plasma. PCV and total nRBCs was determined by microhematocrite technique (at 12000 rpm in 10 minutes) and hemocytometer respectively. Plasma glucose concentration was determined by a laboratory autoanalyzer (Biotecnica Targa, 3000, Italy). To evaluate reliability of glucometer results, blood glucose levels were determined 5 times in 5 pigeons and results were analyzed by pearson correlation test. Relationship between explanatory variables (PCV, nRBC and blood glucose concentration measured by glucometer) and dependent variable (blood glucose measured by autoanalyzer) was evaluated using linear regression test. Results: Positive correlation was found between repetition of glucometer results and all coefficient correlations were greater than 0.9 which indicates the high reliability of the measurement of pigeon blood glucose level by glucometer. There was a significant relationship between PCV (P = 0.007) and glucometer results (P ≤ 0.001) with blood glucose concentrations measured by autoanalyzer. The mean difference between predicted values of blood glucose concentrations which were determined by the equation obtained from linear regression model and those which were measured by autoanalyzer was19.1 mg/dl with standard deviation of 13.57. Conclusion: Based on these results, the use of Accu-Chek active glucometer for prediction of the real blood glucose concentration of pigeons (Columba livia) could be applicable.

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