Latent class evaluation of a milk test, a urine test, and the fat-to-protein percentage ratio in milk to diagnose ketosis in dairy cows.
J Dairy Sci
; 94(5): 2360-7, 2011 May.
Article
de En
| MEDLINE
| ID: mdl-21524525
ABSTRACT
In this study, 3 commonly used tests to diagnose ketosis were evaluated with a latent class model to avoid the assumption of an available perfect test. The 3 tests were the KetoLac BHB (Sanwa Kagaku Kenkyusho Co. Ltd., Nagoya, Japan) test strip that tests milk for ß-hydroxybutyrate, the KetoStix (Bayer Diagnostics Europe Ltd., Dublin, Ireland) test strip that tests urine for acetoacetate, and the fat-to-protein percentage ratio (FPR) in milk. A total of 8,902 cows were included in the analysis. The cows were considered to be a random sample from the population of Danish dairy cattle under intensive management, thus representing a natural spectrum of ketosis as a disease. All cows had a recorded FPR between 7 and 21 d postpartum. The KetoLac BHB recordings were available from 2,257 cows and 6,645 cows had a KetoStix recording. The recordings were analyzed with a modified Hui-Walter model, in a Bayesian framework. The specificity of the KetoLac BHB test and the KetoStix test were both high [0.99 (0.97-0.99)], whereas the specificity of FPR was somewhat lower [0.79 (0.77-0.81)]. The best sensitivity was for the KetoStix test [0.78 (0.55-0.98)], followed by the FPR [0.63 (0.58-0.71)] and KetoLac BHB test [0.58 (0.35-0.93)].
Texte intégral:
1
Collection:
01-internacional
Base de données:
MEDLINE
Sujet principal:
Trousses de réactifs pour diagnostic
/
Maladies des bovins
/
Lait
/
Cétose
/
Acétoacétates
Type d'étude:
Diagnostic_studies
/
Evaluation_studies
/
Prognostic_studies
Limites:
Animals
Langue:
En
Journal:
J Dairy Sci
Année:
2011
Type de document:
Article
Pays d'affiliation:
Danemark