The evaluation of SIRS status with hemato-biochemical indices in bitches affected from pyometra and the Usefulness of these indices as a potential diagnostic tool

Abstract

The aims of this study were to establish a cut-off point by evaluating the usability of the hemato-biochemical indices to determine the severity of inflammation caused by pyometra, and to determine the practical usage of the indices as a diagnostic biomarker in cases of pyometra. Animals that were admitted to Ankara University Veterinary Faculty Obstetrics and Gynecology Clinic were included in the present study. Dogs suffering from pyometra were allocated to two groups according to their SIRS status (SIRS, n = 12; Non-SIRS (NSIRS, n = 16)). Healthy dogs presented for routine ovariohysterectomy were used as the control (n = 13). Blood samples were collected into two tubes containing EDTA for hematological analysis and without anticoagulant for biochemical tests before the beginning of treatment. Hemato-biochemical indices, which are Neutrophil-Lymphocyte Ratio (NLR), Monocyte-Lymphocyte Ratio (MLR), Neutrophil Percentage-Albumin Ratio (NPAR), Platelet-Lymphocyte Ratio and Systemic Immune-Inflammation Index, were calculated. All data were analyzed using the MIXED procedure of the SPSS. Receiver operating characteristics curves were used to determine the dog level threshold for evaluating the SIRS status and used to determine a predicted threshold with hemato-biochemical indices for differentiation between dogs with pyometra (regardless of SIRS status) and the control. Pairwise comparisons were carried out of the area under the curve (AUC) for thresholds of SII, NLR, PLR, MLR, NPAR. White blood cells, lymphocytes, monocyte, neutrophil, ALP, NLR, MLR, and NPAR levels were greater in dogs that suffer from SIRS (P < 0.05). Red blood cells and hematocrit levels were significantly higher in the control group (P < 0.05). Albumin levels were higher in the control group (P < 0.05). Moreover, NLR, MLR and NPAR levels were found to be significantly higher in the SIRS group (P < 0.05). Besides, NLR and MLR were the best predictors for diagnosis of the SIRS with the AUC values of 0.936, and 0.966 respectively. Furthermore, NLR, MLR and SII could be a useful diagnostic tool for pyometra with the AUC values of 0.955, 0.931, 0.716. The blood indices could be used as fast, easily accessible, and inexpensive markers for the evaluation of the SIRS status in dogs with pyometra together with diagnosis.