Characterization of hematological profiles in dog breeds using multivariate analysis
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Abstract
Introduction. Hematological analysis serves as a cornerstone in veterinary clinical diagnosis, providing objective information for disease identification and accurate medical treatment in canines. Objective. This study aims to characterize hematological profiles in canine breeds using multivariate analysis. Methodology. The study involved collecting blood samples from seven dogs of different breeds and ages. Various hematological parameters were analyzed using laboratory techniques. The results were analyzed using mean comparison statistics and Principal Component Analysis (PCA). Results. Hematological analysis revealed values outside the permissible range, suggesting an underlying pathological cause of anemia. Mean comparison analysis demonstrated significant differences between animal sexes in hematocrit, hemoglobin, and red blood cell count parameters. Multivariate analysis identified four principal components explaining 92.56% of the total variance in hematological parameters, revealing variation patterns related to the size and concentration of red blood cells, eosinophils, lymphocytes, and platelets. Significant differences were observed in parameters such as hematocrit, hemoglobin, and red blood cell count among the studied breeds. Conclusion. The study concludes that significant variations exist in hematological parameters among canine breeds, emphasizing the need to consider breed when interpreting blood test results in dogs for more accurate diagnosis and effective treatment.
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