Estimating the proportion of clinical mastitis attributable to subclinical mastitis in dairy cattle using two multivariable statistical approaches

B.H.P. van den Borne; J.C.M. Vernooij; A.M. Lupindu; G. van Schaik; K. Frankena; T.J.G.M. Lam; M. Nielen

Estimating the proportion of clinical mastitis attributable to subclinical mastitis in dairy cattle using two multivariable statistical approaches

B.H.P. van den Borne, J.C.M. Vernooij, A.M. Lupindu, G. van Schaik, K. Frankena, T.J.G.M. Lam, M. Nielen

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Academic › peer-review

Abstract

The aim of this study was to quantify the proportion of first bovine CM cases attributable to high composite somatic cell counts (CSCC). Cows were followed from the first CSCC measurement postpartum until CM or censoring, using survival analysis. A conditional logistic regression model was also fitted to the data with CM cows being matched to cows without CM. Both models identified high CSCC cows to have a higher risk for subsequent CM cases than low CSCC cows. The population attributable fraction was 0.22 for primiparae and 0.17 for multiparae according to the logistic regression model, while it was 0.25 in the survival analysis. The latter approach also identified that the proportion of cows without CM would increase from 89% to 93%. Both multivariable statistical approaches showed that a substantial reduction in CM can be achieved by decreasing the prevalence of high CSCC in the dairy population.

Original language	English
Title of host publication	Proceedings of the Society for Veterinary Epidemiology and Preventive Medicine Annual Meeting, Leipzig, Germany, 23 - 25 March, 2011
Editors	C. Fourichon, D.U. Pfeiffer
Pages	51-59
Publication status	Published - 2011
Event	Proceedings of the Society for Veterinary Epidemiology and Preventive Medicine Annual Meeting, Leipzig, Germany - Duration: 23 Mar 2011 → 25 Mar 2011

Conference

Conference	Proceedings of the Society for Veterinary Epidemiology and Preventive Medicine Annual Meeting, Leipzig, Germany
Period	23/03/11 → 25/03/11

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van den Borne, B. H. P., Vernooij, J. C. M., Lupindu, A. M., van Schaik, G., Frankena, K., Lam, T. J. G. M., & Nielen, M. (2011). Estimating the proportion of clinical mastitis attributable to subclinical mastitis in dairy cattle using two multivariable statistical approaches. In C. Fourichon, & D. U. Pfeiffer (Eds.), Proceedings of the Society for Veterinary Epidemiology and Preventive Medicine Annual Meeting, Leipzig, Germany, 23 - 25 March, 2011 (pp. 51-59) https://edepot.wur.nl/216220

van den Borne, B.H.P. ; Vernooij, J.C.M. ; Lupindu, A.M. ; van Schaik, G. ; Frankena, K. ; Lam, T.J.G.M. ; Nielen, M. / Estimating the proportion of clinical mastitis attributable to subclinical mastitis in dairy cattle using two multivariable statistical approaches. Proceedings of the Society for Veterinary Epidemiology and Preventive Medicine Annual Meeting, Leipzig, Germany, 23 - 25 March, 2011. editor / C. Fourichon ; D.U. Pfeiffer. 2011. pp. 51-59

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title = "Estimating the proportion of clinical mastitis attributable to subclinical mastitis in dairy cattle using two multivariable statistical approaches",

abstract = "The aim of this study was to quantify the proportion of first bovine CM cases attributable to high composite somatic cell counts (CSCC). Cows were followed from the first CSCC measurement postpartum until CM or censoring, using survival analysis. A conditional logistic regression model was also fitted to the data with CM cows being matched to cows without CM. Both models identified high CSCC cows to have a higher risk for subsequent CM cases than low CSCC cows. The population attributable fraction was 0.22 for primiparae and 0.17 for multiparae according to the logistic regression model, while it was 0.25 in the survival analysis. The latter approach also identified that the proportion of cows without CM would increase from 89% to 93%. Both multivariable statistical approaches showed that a substantial reduction in CM can be achieved by decreasing the prevalence of high CSCC in the dairy population.",

author = "{van den Borne}, B.H.P. and J.C.M. Vernooij and A.M. Lupindu and {van Schaik}, G. and K. Frankena and T.J.G.M. Lam and M. Nielen",

year = "2011",

language = "English",

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editor = "C. Fourichon and D.U. Pfeiffer",

booktitle = "Proceedings of the Society for Veterinary Epidemiology and Preventive Medicine Annual Meeting, Leipzig, Germany, 23 - 25 March, 2011",

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van den Borne, BHP, Vernooij, JCM, Lupindu, AM, van Schaik, G, Frankena, K, Lam, TJGM & Nielen, M 2011, Estimating the proportion of clinical mastitis attributable to subclinical mastitis in dairy cattle using two multivariable statistical approaches. in C Fourichon & DU Pfeiffer (eds), Proceedings of the Society for Veterinary Epidemiology and Preventive Medicine Annual Meeting, Leipzig, Germany, 23 - 25 March, 2011. pp. 51-59, Proceedings of the Society for Veterinary Epidemiology and Preventive Medicine Annual Meeting, Leipzig, Germany, 23/03/11. <https://edepot.wur.nl/216220>

Estimating the proportion of clinical mastitis attributable to subclinical mastitis in dairy cattle using two multivariable statistical approaches. / van den Borne, B.H.P.; Vernooij, J.C.M.; Lupindu, A.M.; van Schaik, G.; Frankena, K.; Lam, T.J.G.M.; Nielen, M.

Proceedings of the Society for Veterinary Epidemiology and Preventive Medicine Annual Meeting, Leipzig, Germany, 23 - 25 March, 2011. ed. / C. Fourichon; D.U. Pfeiffer. 2011. p. 51-59.

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Academic › peer-review

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AU - van den Borne, B.H.P.

AU - Vernooij, J.C.M.

AU - Lupindu, A.M.

AU - van Schaik, G.

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AU - Lam, T.J.G.M.

AU - Nielen, M.

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AB - The aim of this study was to quantify the proportion of first bovine CM cases attributable to high composite somatic cell counts (CSCC). Cows were followed from the first CSCC measurement postpartum until CM or censoring, using survival analysis. A conditional logistic regression model was also fitted to the data with CM cows being matched to cows without CM. Both models identified high CSCC cows to have a higher risk for subsequent CM cases than low CSCC cows. The population attributable fraction was 0.22 for primiparae and 0.17 for multiparae according to the logistic regression model, while it was 0.25 in the survival analysis. The latter approach also identified that the proportion of cows without CM would increase from 89% to 93%. Both multivariable statistical approaches showed that a substantial reduction in CM can be achieved by decreasing the prevalence of high CSCC in the dairy population.

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van den Borne BHP, Vernooij JCM, Lupindu AM, van Schaik G, Frankena K, Lam TJGM et al. Estimating the proportion of clinical mastitis attributable to subclinical mastitis in dairy cattle using two multivariable statistical approaches. In Fourichon C, Pfeiffer DU, editors, Proceedings of the Society for Veterinary Epidemiology and Preventive Medicine Annual Meeting, Leipzig, Germany, 23 - 25 March, 2011. 2011. p. 51-59