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用于检测亚临床酮病的乳汁检测方法评估

Evaluation of a milk test for detection of subclinical ketosis.

作者信息

Jorritsma R, Baldée S J, Schukken Y H, Wensing T, Wentink G H

机构信息

Department of Herd Health and Reproduction, Faculty of Veterinary Medicine, Utrecht University, The Netherlands.

出版信息

Vet Q. 1998 Jul;20(3):108-10. doi: 10.1080/01652176.1998.9694851.

DOI:10.1080/01652176.1998.9694851
PMID:9684300
Abstract

This study included 190 lactating cows from eight dairy farms and was designed to investigate the sensitivity and specificity of a milk test (Ketolac) for detecting subclinical ketosis in dairy cattle. Blood and milk samples were collected between 38 and 50 days post partum. At a beta-hydroxybutyric acid concentration in blood of 1.2 mmol/L, the prevalence of ketosis was 14%. A Response Operator Characteristic curve was drawn for two milk test values: 100 mumol/L and 200 mumol/L. Assessment of several beta-hydroxybutyric acid cut-off values in blood showed that when 100 mumol/L on the Ketolac milk test was defined positive, the most desirable sensitivity-specificity combination was achieved. This milk test can be routinely used to screen a herd for subclinical ketosis.

摘要

本研究纳入了来自8个奶牛场的190头泌乳奶牛,旨在调查一种牛奶检测方法(酮咯酸)检测奶牛亚临床酮病的敏感性和特异性。在产后38至50天期间采集血液和牛奶样本。当血液中β-羟基丁酸浓度为1.2 mmol/L时,酮病患病率为14%。针对两个牛奶检测值(100 μmol/L和200 μmol/L)绘制了反应者操作特征曲线。对血液中多个β-羟基丁酸临界值的评估表明,当将酮咯酸牛奶检测中100 μmol/L定义为阳性时,可实现最理想的敏感性-特异性组合。这种牛奶检测方法可常规用于对牛群进行亚临床酮病筛查。

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Expert opinion as priors for random effects in Bayesian prediction models: Subclinical ketosis in dairy cows as an example.
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