Department of Virology, Parasitology and Immunology, Faculty of Veterinary Medicine, Ghent University, Ghent, Belgium.
Parasitol Res. 2011 Sep;109(3):953-7. doi: 10.1007/s00436-011-2338-z. Epub 2011 Apr 7.
The faecal egg count reduction test (FECR) is the recommended technique to monitor anthelmintic drug efficacy in livestock. However, results are often inconclusive due to the low analytic sensitivity of the diagnostic technique or the conflict in results from FECR formulae. A novel experimental set-up was, therefore, used to compare the impact of analytic sensitivity and formulae on FECR results. Four McMaster techniques (analytic sensitivities 50, 33.3, 15 and 10) and a FLOTAC technique (analytic sensitivity ~ 1) were used on faecal samples of 30 calves with a FEC of less than 200 eggs per gram. True drug efficacies of 70%, 80% and 90% were experimentally mimicked by comparing FEC before and after dilution (3:10, 2:10 and 1:10, respectively). The FECR was summarized using group (FECR(1)) and individual (FECR(2)) based formulae. There was a significant increase in precision of FECR when the analytic sensitivity increased (p < 0.0001). The precision also depended on the formula used, FECR(1) (p < 0.05) resulting in more precise FECR compared to FECR(2). The accuracy of the FECR differed marginally between the two formulae (p = 0.06), FECR(1) being more accurate. In conclusion, the present study describes a novel methodology to compare techniques for the precision and the accuracy of their FECR results. The results underscored that techniques with high analytic sensitivity will improve the interpretation of FECR in animal populations where baseline FEC are low. They also point out that the precision of individual-based formulae is affected by the analytic sensitivity.
粪便卵计数减少试验(FECR)是监测家畜驱虫药疗效的推荐技术。然而,由于诊断技术的分析灵敏度低或 FECR 公式的结果存在冲突,结果往往不确定。因此,采用了一种新的实验装置来比较分析灵敏度和公式对 FECR 结果的影响。在 30 头 FEC 低于 200 个卵/克的小牛粪便样本上使用了四种 McMaster 技术(分析灵敏度分别为 50、33.3、15 和 10)和一种 FLOTAC 技术(分析灵敏度约为 1)。通过比较稀释前后的 FEC(分别为 3:10、2:10 和 1:10),实验模拟了 70%、80%和 90%的真实药物疗效。使用基于组(FECR(1))和个体(FECR(2))的公式总结 FECR。当分析灵敏度增加时,FECR 的精度显著提高(p<0.0001)。公式的使用也会影响精度,FECR(1)(p<0.05)比 FECR(2)更能精确地得出 FECR。两种公式之间 FECR 的准确性略有差异(p=0.06),FECR(1)更准确。总之,本研究描述了一种新的方法来比较技术的精确性和准确性。研究结果强调,在基线 FEC 较低的动物群体中,具有高分析灵敏度的技术将有助于解释 FECR。它们还指出,基于个体的公式的精度受到分析灵敏度的影响。