Liverpool School of Tropical Medicine, Liverpool L3 5QA, UK.
Swiss Tropical and Public Health Institute, Allschwil, Switzerland.
Trends Parasitol. 2022 Nov;38(11):933-941. doi: 10.1016/j.pt.2022.08.005. Epub 2022 Sep 3.
Estimating antimalarial drug efficacy requires differentiating treatment failures from new infections arising during the several-week follow-up period in drug trials. Genetic profiling of malaria infections can guide this decision but is notoriously difficult in practice. Previous World Health Organisation (WHO) guidelines were based on assumptions with an inherently high risk of underestimating failure rates. A recent update to WHO guidelines recognises a wider range of analyses to overcome these limitations. We discuss these new analyses and their underlying logic. Drug failure rate estimates in moderate to high transmissions areas will become more accurate but will likely rise twofold due to better detection of treatment failures, and the malaria community needs to anticipate and prepare for potentially large increases in estimated failure rates.
估算抗疟药物疗效需要在药物试验的数周随访期间区分治疗失败和新感染。疟疾感染的基因分析可以指导这一决策,但在实践中却非常困难。之前的世界卫生组织(WHO)指南是基于假设的,存在严重低估失败率的风险。最近的 WHO 指南更新承认了更广泛的分析方法来克服这些局限性。我们讨论了这些新的分析方法及其潜在的逻辑。在中高传播地区,药物失败率的估计将更加准确,但由于更好地检测到治疗失败,估计失败率可能会增加一倍,疟疾界需要预期并为可能大幅增加的估计失败率做好准备。