A simple, inexpensive, and rapid method for measuring calcium concentrations in colostrum to predict postpartum milk fever in cows using a commercially available water quality test device

To diagnose milk fever (MF) in dairy cows under clinical practice, measurement of ionized calcium concentrations in blood using point-of-care (POC) devices is required. However, blood sampling poses a significant financial burden on farmers and increases the workload of veterinarians who must visit farms to perform the examinations. The present study aimed to evaluate whether the onset of MF could be predicted using colostrum samples, which can be collected by farmers themselves. Total calcium (tCa) concentrations in colostrum were measured using a commercially available water quality test device. The results showed that cows treated for MF had significantly higher tCa concentrations in colostrum (2,141.1 ± 623.7 mg/L) compared to cows without MF (1,546.3 ± 494.4 mg/L) (P=0.006). Receiver operating characteristic (ROC) curve analysis suggested that measuring tCa concentration in colostrum could be used to predict the onset of MF. When the cut-off value was set at >2,000 mg/L, the sensitivity and specificity were 66.7% and 88.9%, respectively. Results from these findings, measuring tCa concentration in colostrum using a water quality test device offers a simple, inexpensive, and rapid method for predicting the onset of MF in dairy cows.

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Publication Details

Journal
Journal of Veterinary Medical Science
Published
2025-01-01
DOI
https://doi.org/10.1292/jvms.25-0298
Primary Topic
Animal health and immunology
Type
article
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article

A simple, inexpensive, and rapid method for measuring calcium concentrations in colostrum to predict postpartum milk fever in cows using a commercially available water quality test device

Marina OTSUKA, Kana KAMITANI, Masaaki MAEDA, Kenji TSUKANO et al.
Journal of Veterinary Medical Science
Animal health and immunology
article

A simple, inexpensive, and rapid method for measuring calcium concentrations in colostrum to predict postpartum milk fever in cows using a commercially available water quality test device

Marina OTSUKA, Kana KAMITANI, Masaaki MAEDA, Kenji TSUKANO, Keiko Ikeda, Kazuyuki Suzuki, Nao Kondo, Haruyuki Hirata, Minoru Okamoto, Ryo MUROTSUKI, Tatsuya RYOHA, Hiroaki KOZUTSUMI
article en

Abstract

To diagnose milk fever (MF) in dairy cows under clinical practice, measurement of ionized calcium concentrations in blood using point-of-care (POC) devices is required. However, blood sampling poses a significant financial burden on farmers and increases the workload of veterinarians who must visit farms to perform the examinations. The present study aimed to evaluate whether the onset of MF could be predicted using colostrum samples, which can be collected by farmers themselves. Total calcium (tCa) concentrations in colostrum were measured using a commercially available water quality test device. The results showed that cows treated for MF had significantly higher tCa concentrations in colostrum (2,141.1 ± 623.7 mg/L) compared to cows without MF (1,546.3 ± 494.4 mg/L) (P=0.006). Receiver operating characteristic (ROC) curve analysis suggested that measuring tCa concentration in colostrum could be used to predict the onset of MF. When the cut-off value was set at >2,000 mg/L, the sensitivity and specificity were 66.7% and 88.9%, respectively. Results from these findings, measuring tCa concentration in colostrum using a water quality test device offers a simple, inexpensive, and rapid method for predicting the onset of MF in dairy cows.

Journal of Veterinary Medical ScienceVol. 87(10)
Clinical Insights (US), Aomori University (JP), Rakuno Gakuen University (JP)
Openalex Percentile: Top 75%
Animal health and immunology
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A simple, inexpensive, and rapid method for measuring calcium concentrations in colostrum to predict postpartum milk fever in cows using a commercially available water quality test device — Marina OTSUKA, Kana KAMITANI, et al. · Journal of Veterinary Medical Science (2025) | TGRS Research Map | TGRS