The periparturient period in dairy cows is marked by negative energy balance (NEB), resulting in metabolic stress and an increased risk of postpartum diseases. Accurate assessment of NEB through blood β-hydroxybutyrate (β-OHB) levels is essential for effective herd management. Point-of-care (POC) devices, such as the CentriVet blood ketone monitoring system, offer a practical alternative to laboratory methods for measuring β-OHB. This study aimed to evaluate the diagnostic and analytical performance of the CentriVet blood ketone monitoring system compared to a laboratory reference method for measuring blood β-OHB concentration in postpartum dairy cattle. A total of 105 postpartum dairy cows from two farms were included. Blood samples were analyzed for β-OHB using both CentriVet and a reference enzymatic method. Passing-Bablok regression, Bland-Altman plots, and kappa statistics were used to assess agreement. Diagnostic accuracy metrics (sensitivity, specificity, PPV, NPV, and accuracy) were calculated at a cut-off value of ≥ 1.2 mmol/L. An optimized cut-off value was determined via ROC curve analysis. CentriVet demonstrated a moderate correlation with the reference method (Spearman's r = 0.701, p < 0.001). Passing-Bablok regression revealed proportional bias, and Bland-Altman analysis indicated a mean bias of -0.4 mmol/L. Diagnostic metrics at ≥ 1.2 mmol/L showed 100% sensitivity, 68.09% specificity, and 71.4% accuracy. ROC analysis yielded an optimized cut-off of > 1.5 mmol/L, improving specificity (95.7%) but reducing sensitivity (81.8%). While CentriVet offers practical benefits, its diagnostic performance is limited for accurately identifying hyperketonemia in postpartum dairy cattle.
山东省济南市章丘区文博路2号
齐鲁师范学院 genelibs生信实验室
山东省济南市高新区舜华路750号
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