Siqueira L G B, Areas V S, Ghetti A M, Fonseca J F, Palhao M P, Fernandes C A C, Viana J H M
Embrapa, Brazilian Agricultural Research Corporation, Juiz de Fora, Minas Gerais, 36038-330 Brazil.
J Dairy Sci. 2013 Oct;96(10):6461-72. doi: 10.3168/jds.2013-6814. Epub 2013 Aug 16.
The objective was to determine the accuracy of a pregnancy test for predicting nonpregnant cattle based on the evaluation of corpus luteum (CL) blood flow at 20 d (CLBF-d20) after timed artificial insemination (TAI). Crossbred Holstein-Gir dairy heifers (n=209) and lactating cows (n=317) were synchronized for TAI using the following protocol: intravaginal implant (1.0 g of progesterone) and 2mg of estradiol benzoate i.m. on d -10, implant removal and 0.526 mg of sodium cloprostenol i.m. on d -2, 1mg of estradiol benzoate i.m. on d -1, and TAI on d 0. On d 20, animals underwent grayscale ultrasonography (US) to locate the CL and color flow Doppler to evaluate CLBF-d20 using a portable ultrasound equipped with a 7.5-MHz rectal transducer. Based only on a visual, subjective CLBF evaluation, the animals were classified as pregnant or not pregnant. On d 30 to 35, blinded from results of the previous diagnosis, the same operator performed a final pregnancy diagnosis using US to visualize the fetal heartbeat (gold standard; US-d30). A second evaluator also analyzed the CLBF-d20 in the same animals by watching 7-s recorded videos. Blood samples were collected from a subset of 171 females to determine, by RIA, plasma progesterone (P4) concentrations, which indicate CL function. The final pregnancy outcome (US-d30) was retrospectively compared with the CLBF-d20 diagnoses and then classified either as correct or incorrect. The number of true positive, true negative, false positive, and false negative decisions were inserted into a 2 × 2 decision matrix. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of the CLBF-d20 test were calculated using specific equations. Binomial variables (pregnancy rate and proportions) were analyzed using Fisher's exact test for the effect of parity and to compare between evaluators and tests (CLBF-d20 vs. plasma P₄). The kappa values were calculated to quantify the agreement between CLBF-d20 and the gold standard (US-d30) and between evaluators. The performance parameters of CLBF-d20 test were as follows: sensitivity=99.0%, specificity=53.7%, positive predictive value=65.1%, negative predictive value=98.5%, and accuracy=74.8%. False negatives represented only 0.4% of the exams. No differences existed in these parameters between evaluators (no. 1 vs. no. 2) and tests (CLBF-d20 vs. plasma P4). Moreover, a high level of agreement was observed between evaluators (0.91). In conclusion, visual evaluation of CLBF-d20 represents a quick, reliable, and consistent diagnostic test that enables the early detection of nonpregnant cattle.
目的是基于定时人工授精(TAI)后20天黄体(CL)血流(CLBF-d20)评估来确定妊娠试验预测未妊娠母牛的准确性。使用以下方案对杂交荷斯坦-吉尔奶牛(n = 209)和泌乳母牛(n = 317)进行TAI同期发情:在第-10天阴道植入(1.0 g孕酮)和肌肉注射2 mg苯甲酸雌二醇,在第-2天取出植入物并肌肉注射0.526 mg氯前列醇钠,在第-1天肌肉注射1 mg苯甲酸雌二醇,在第0天进行TAI。在第20天,对动物进行灰阶超声检查(US)以定位CL,并使用配备7.5 MHz直肠探头的便携式超声进行彩色多普勒血流显像以评估CLBF-d20。仅基于视觉主观的CLBF评估,将动物分类为妊娠或未妊娠。在第30至35天,在不知道先前诊断结果的情况下,由同一名操作人员使用US进行最终妊娠诊断以观察胎儿心跳(金标准;US-d30)。另一名评估人员也通过观看7秒的录像来分析同一批动物的CLBF-d20。从171头雌性动物的子集中采集血样,通过放射免疫分析(RIA)测定血浆孕酮(P4)浓度,其可指示CL功能。将最终妊娠结果(US-d30)与CLBF-d20诊断结果进行回顾性比较,然后分类为正确或错误。将真阳性、真阴性、假阳性和假阴性判定的数量插入2×2决策矩阵。使用特定公式计算CLBF-d20试验的敏感性、特异性、阳性预测值、阴性预测值和准确性。使用Fisher精确检验分析二项变量(妊娠率和比例)以评估胎次的影响,并比较评估人员和试验(CLBF-d20与血浆P₄)之间的差异。计算kappa值以量化CLBF-d20与金标准(US-d30)之间以及评估人员之间的一致性。CLBF-d20试验的性能参数如下:敏感性=99.0%,特异性=53.7%,阳性预测值=65.1%,阴性预测值=98.5%,准确性=74.8%。假阴性仅占检查的0.4%。评估人员(第1名与第2名)和试验(CLBF-d20与血浆P4)之间在这些参数上没有差异。此外,评估人员之间观察到高度一致性(0.91)。总之,CLBF-d20的视觉评估是一种快速、可靠且一致的诊断试验,能够早期检测出未妊娠的母牛。