Shpigel N Y, Avidar Y, Bogin E
The Koret School of Veterinary Medicine, PO Box 12 Rehovot, Israel 76100.
Vet Rec. 2003 Jun 21;152(25):773-6. doi: 10.1136/vr.152.25.773.
Over a period of seven years, 262 recumbent dairy cows were investigated, and serum samples were analysed for creatine phosphokinase (CPK), lactate dehydrogenase (LDH) and aspartate aminotransferase (AST) activities. The results from cows for which all three measurements were available, were analysed statistically by the non-parametric receiver operating characteristic (ROC) method, to evaluate the value of the serum enzyme activities for predicting a failure to recover. The sensitivity and specificity of the activity levels were calculated over all cut-off points, and ROC curves were created by plotting sensitivity as a function of 1--specificity at each cut-off point for samples grouped by the interval after the cows became recumbent. The predictive values of the tests were compared by calculating the areas under the curves, and the positive and negative predictive values of the tests were calculated and plotted against the prevalence of a failure to recover. The results from each of the enzymes were significantly better than from a random test with no discriminatory ability. The optimal cut-off points maximising the sensitivity and specificity of the tests were 2330, 2225 and 171 U/litre for CPK, LDH and AST, respectively. The predictive value of AST was significantly better than that of CPK or LDH, and measures made on the second and third day of recumbency were significantly better with optimal cut-off points of 128 and 189 U/litre, respectively.
在七年的时间里,对262头侧卧的奶牛进行了调查,并对血清样本进行了肌酸磷酸激酶(CPK)、乳酸脱氢酶(LDH)和天冬氨酸转氨酶(AST)活性分析。对所有三项测量值均可用的奶牛的结果,采用非参数接受者操作特征(ROC)方法进行统计分析,以评估血清酶活性对预测恢复失败的价值。计算了所有切点处活性水平的敏感性和特异性,并通过将敏感性作为1-特异性的函数进行绘图,为按奶牛侧卧后间隔分组的样本在每个切点处创建ROC曲线。通过计算曲线下面积比较测试的预测值,并计算测试的阳性和阴性预测值,并针对恢复失败的患病率进行绘图。每种酶的结果都明显优于无鉴别能力的随机测试。使测试的敏感性和特异性最大化的最佳切点,CPK、LDH和AST分别为2330、2225和171 U/升。AST的预测价值明显优于CPK或LDH,在侧卧第二天和第三天进行的测量明显更好,最佳切点分别为128和189 U/升。