Modelling bodyweight to avoid anthelmintic underdosing of goats in resources-limited settings.
Modelling bodyweight to avoid anthelmintic underdosing of goats in resources-limited settings.
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DOI：
10.1007/s11250-023-03479-6
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发表时间：
2023-02-09
影响因子：
1.7
通讯作者：
Sargison, N. D.
中科院分区：
文献类型：
--
作者：
Evans, M. J.;Kaona, C. L.;Barros, A. K.;Bailey, J. L. Burdon;Chikungwa, P.;Costa-Junior, L. M.;Gamble, L.;Hopker, A. M.;Kelly, R. F.;Lohr, F.;Silva, R.;Sargison, N. D.
在资源有限的环境中改善牲畜管理可以提供一种改善人类营养和生计的手段。然而，胃肠道线虫（GIN）是一个重要的生产限制因素。驱虫药在GIN管理中发挥作用;然而，许多中低收入国家几乎没有驱虫药。利用有限范围的类可能会增加选择驱虫药耐药性，因此，战略，以减少其他选择的压力是非常重要的。避免驱虫剂剂量不足就是这样一种策略，但如果无法获得准确的体重测量结果，则可能具有挑战性。许多先前的研究使用胸围作为山羊体重的实际替代;然而，他们很少考虑自然变化对治疗剂量的潜在影响。在这里，体重和胸围之间的关系进行了建模，使用来自三个马拉维生物群落的820只山羊在两个季节的数据，具体目的是避免低估体重。根据另外352只马拉维山羊（1.4%的山羊分配剂量不足，10.2%分配剂量>体重的200%）的数据，验证了内部交叉验证的线性回归（体重约0.053 + 0.040* 围长，R2 = 0.92，四舍五入至最接近的5 kg）。使用来自印度阿萨姆邦的150只山羊的历史数据集（2.7%的山羊分配至剂量不足，24.8%分配至> 200%体重）进一步外部验证了该方程。这些结果表明，一种更具全球通用性的方法可能是可行的，前提是估计的准确性与药物的治疗指数一起考虑。在线版本包含补充材料，可通过10.1007/s11250-023-03479-6获得。
Improved management of livestock in resource-limited settings can provide a means towards improved human nutrition and livelihoods. However, gastrointestinal nematodes (GIN) are a significant production-limiting factor. Anthelmintics play a role in GIN management; however, few anthelmintic classes are available in many low-middle-income countries. Utilising a limited range of classes may increase selection for anthelmintic resistance; therefore, strategies to reduce other selective pressures are of heightened importance. Avoiding anthelmintic underdosing is one such strategy, but it can be challenging without access to accurate bodyweight measurement. Many previous studies have used thoracic girth as a practical proxy for bodyweight in goats; however, they have rarely considered the potential impact of natural variation on therapeutic doses. Here, the relationship between bodyweight and thoracic girth was modelled using data from 820 goats from three Malawian biomes in two seasons, with the specific aim of avoiding underestimation of bodyweight. The internally cross-validated linear regression (∛Weight ~ 0.053 + 0.040*Girth, R2 = 0.92, rounded up to the nearest 5 kg) was validated against data from an additional 352 Malawian goats (1.4% of goats allocated an underdose and 10.2% allocated a dose > 200% of bodyweight). The equation was further externally validated using an historical dataset of 150 goats from Assam, India (2.7% of goats were allocated to an underdose and 24.8% allocated to a > 200% of bodyweight). These results suggest that a more globally generalisable approach may be feasible, provided the accuracy of the estimate is considered alongside the therapeutic index of the pharmaceutical. The online version contains supplementary material available at 10.1007/s11250-023-03479-6.
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