Swiss Tropical and Public Health Institute, Allschwil, Switzerland.
University of Basel, Basel, Switzerland.
PLoS Negl Trop Dis. 2022 Oct 4;16(10):e0010810. doi: 10.1371/journal.pntd.0010810. eCollection 2022 Oct.
Hookworm infections, caused by Ancylostoma duodenale and Necator americanus, are of considerable public health importance. The World Health Organization recommends preventive chemotherapy as the key strategy for morbidity control. Meta-analyses have been conducted to estimate treatment efficacy of available drugs and drug combinations. However, in most studies, the relation between the diagnostic error and infection intensity have not been considered, resulting in an overestimation of cure rates (CRs).
A Bayesian model was developed to compare the 'true' CR and egg reduction rate of different treatment regimens for hookworm infections taking into account the error of the recommended Kato-Katz thick smear diagnostic technique. It was fitted to the observed egg count data which was linked to the distribution of worms, considered the day-to-day variation of hookworm egg excretion and estimated the infection intensity-dependent sensitivity. The CR was obtained by defining the prevalence of infection at follow-up as the probability of having at least one fertilized female worm. The model was applied to individual-level egg count data available from 17 treatments and six clinical trials.
Taking the diagnostic error into account resulted in considerably lower CRs than previously reported. Overall, of all treatments analyzed, mebendazole administered in six dosages of 100 mg each was the most efficacious treatment with a CR of 88% (95% Bayesian credible interval: 79-95%). Furthermore, diagnostic sensitivity varied with the infection intensity and sampling effort. For an infection intensity of 50 eggs per gram of stool, the sensitivity is close to 60%; for two Kato-Katz thick smears it increased to approximately 76%.
CONCLUSIONS/SIGNIFICANCE: Our model-based estimates provide the true efficacy of different treatment regimens against hookworm infection taking into account the diagnostic error of the Kato-Katz method. Estimates of the diagnostic sensitivity for different number of stool samples and thick smears are obtained. To accurately assess efficacy in clinical trials with the Kato-Katz method, at least two stool samples on consecutive days should be collected.
钩虫感染由十二指肠钩口线虫和美洲板口线虫引起,对公共卫生具有相当大的重要性。世界卫生组织建议采用预防化疗作为控制发病率的关键策略。已经进行了荟萃分析来估计现有药物和药物组合的治疗效果。然而,在大多数研究中,并未考虑诊断错误与感染强度之间的关系,导致治愈率(CR)被高估。
我们开发了一种贝叶斯模型,以比较不同钩虫感染治疗方案的“真实”CR 和虫卵减少率,同时考虑到推荐的加藤厚涂片诊断技术的误差。该模型拟合了与蠕虫分布相关的观察到的卵计数数据,考虑了钩虫卵排泄的日常变化,并估计了感染强度依赖性敏感性。通过将随访时的感染流行率定义为至少有一条受精雌虫的概率来获得 CR。该模型应用于来自 17 种治疗方法和 6 项临床试验的个体水平卵计数数据。
考虑到诊断错误,CR 明显低于先前报告的水平。总体而言,在所分析的所有治疗中,以 100mg 剂量服用 6 次的甲苯咪唑是最有效的治疗方法,其 CR 为 88%(95%贝叶斯可信区间:79-95%)。此外,诊断敏感性随感染强度和采样力度而变化。对于 50 个粪便卵/克的感染强度,敏感性接近 60%;对于两个加藤厚涂片,敏感性增加到约 76%。
结论/意义:我们基于模型的估计提供了考虑加藤厚涂片方法诊断错误的不同治疗方案对钩虫感染的真实疗效。获得了不同粪便样本和厚涂片数量的诊断敏感性估计值。为了在使用加藤厚涂片方法的临床试验中准确评估疗效,应连续两天采集至少两个粪便样本。