Detection of bovine Babesia spp. and Anaplasma marginale is based on the reading of Giemsa-stained blood or organ smears, which can have low sensitivity. Our aim was to improve the detection of bovine Babesia spp. and A. marginale by validating a multiplex PCR (mPCR). We used 466 samples of blood and/or organs of animals with signs and presumptive autopsy findings of babesiosis or anaplasmosis. The primers in our mPCR amplified the rap-1a gene region of Babesia bovis and B. bigemina, and the msp-5 region of A. marginale. We used a Bayesian model with a non-informative priori distribution for the prevalence estimate and informative priori distribution for estimation of sensitivity and specificity. The sensitivity and specificity for smear detection of Babesia spp. were 68.6% and 99.1%, and for A. marginale 85.6% and 98.8%, respectively. Sensitivity and specificity for mPCR detection for Babesia spp. were 94.2% and 97.1%, and for A. marginale 95.2% and 92.7%, respectively. Our mPCR had good accuracy in detecting Babesia spp. and A. marginale, and would be a reliable test for veterinarians to choose the correct treatment for each agent.

检测牛巴贝斯虫。和边缘无形体基于对吉姆萨染色的血液或器官涂片的读数，其灵敏度可能较低。我们的目标是改进牛巴贝斯虫的检测。和A.边缘通过验证多重 PCR (mPCR)。我们使用了 466 份具有巴贝虫病或无形体病迹象和推定尸检结果的动物血液和/或器官样本。在我们的多重PCR引物扩增的RAP-1A的基因区域巴贝斯虫牛和B. bigemina，和MSP-5的区域A.边缘无. 我们使用了贝叶斯模型，该模型具有非信息性先验分布的流行率估计和信息性先验分布的敏感性和特异性估计。巴贝斯虫涂片检测的敏感性和特异性。分别为 68.6% 和 99.1%，对于A. margine 分别为85.6% 和 98.8%。巴贝虫属mPCR 检测的灵敏度和特异性。分别为 94.2% 和 97.1%，对于A. margine 分别为95.2% 和 92.7%。我们的 mPCR 在检测巴贝虫属方面具有良好的准确性。和A. margine，并且将是兽医为每种药剂选择正确治疗的可靠测试。