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January 20, 2026Veterinary Clinical Pathology0 citations

Evaluation of the Diagnostic and Analytical Performance of the CentriVet Blood Ketone Monitoring System in Postpartum Dairy Cattle

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KTKenan Çağrı TümerTŞTarık ŞafakİŞİsa Şekercioğlu

Key Points

  • To evaluate the diagnostic and analytical performance of the CentriVet blood ketone monitoring system compared to a laboratory method for measuring blood β‐OHB levels.
  • 105 postpartum dairy cows from two farms were studied.
  • Blood samples analyzed for β‐OHB using CentriVet and a laboratory reference method.
  • Statistical methods included Passing–Bablok regression, Bland–Altman plots, and kappa statistics for agreement assessment.
  • Diagnostic metrics were calculated at a cut-off value of ≥ 1.2 mmol/L.
  • ROC curve analysis determined an optimized cut-off value.
  • CentriVet showed moderate correlation with the reference method (Spearman's r = 0.701, p < 0.001).
  • Bland–Altman analysis indicated a mean bias of −0.4 mmol/L.
  • At ≥ 1.2 mmol/L, sensitivity was 100%, specificity was 68.09%, and accuracy was 71.4%.
  • Optimized cut-off from ROC analysis (> 1.5 mmol/L) improved specificity to 95.7% but reduced sensitivity to 81.8%.

Abstract

ABSTRACT Background 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. Objective 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. Methods 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. Results CentriVet demonstrated a moderate correlation with the reference method (Spearman's r = 0.701, p 1.5 mmol/L, improving specificity (95.7%) but reducing sensitivity (81.8%). Conclusions While CentriVet offers practical benefits, its diagnostic performance is limited for accurately identifying hyperketonemia in postpartum dairy cattle.

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Cite This Study

Tümer et al. (2026) studied this question.

synapsesocial.com/papers/696f1a629e64f732b51eeb41https://doi.org/10.1111/vcp.70079
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