Chesnais Cédric B, Pion Sébastien D, Boullé Charlotte, Gardon Jacques, Gardon-Wendel Nathalie, Fokom-Domgue Joël, Kamgno Joseph, Boussinesq Michel
UMI 233, Institut de Recherche pour le Développement (IRD), Montpellier, France.
Université Montpellier, Montpellier, France.
EClinicalMedicine. 2020 Oct 10;28:100582. doi: 10.1016/j.eclinm.2020.100582. eCollection 2020 Nov.
Implementation of onchocerciasis elimination programmes has been delayed in Central Africa because of the risk of ivermectin-related serious adverse events (SAEs) in individuals with high microfilarial densities (MFD). We developed the first statistical models enabling prediction of SAE risk in individuals with a given MFD.
We used individual participant data from two trials conducted in loiasis-onchocerciasis co-endemic areas in Cameroon. among the 10 506 ivermectin-treated subjects included in the analysis, 38 (0·36%) developed an ivermectin-related SAE. To predict individual-level risk of SAE, we developed mixed multivariate logistic models including subjects' sex, age, pre-treatment and MFDs, and study region.
The models predicted that regardless of sex, about 1% of people with 20 000 microfilariae per millilitre of blood (mf/mL), 10% of people with 50 000 mf/mL and about one third of those with 100 000 mf/mL will develop an SAE. For a given MFD, males have a three-fold higher risk of developing an SAE than females.
By enabling the prediction of post-ivermectin SAE risk in communities with known distribution of MFDs, our results can guide decisions on the choice of ivermectin-based treatment strategies. They also predict that 37 SAEs were prevented in 2015 by using a Test-and-Treat strategy in the Okola District of Cameroon.
UNDP/World Bank/WHO Special Programme for Research and Training in Tropical Diseases; Institut de Recherche pour le Développement; Mectizan Donation Program; Bill & Melinda Gates Foundation
由于微丝蚴密度(MFD)高的个体发生伊维菌素相关严重不良事件(SAE)的风险,中非盘尾丝虫病消除计划的实施已被推迟。我们开发了首个能够预测给定MFD个体SAE风险的统计模型。
我们使用了在喀麦隆盘尾丝虫病与罗阿丝虫病共同流行地区进行的两项试验的个体参与者数据。在纳入分析的10506名接受伊维菌素治疗的受试者中,38人(0.36%)发生了伊维菌素相关SAE。为了预测个体层面的SAE风险,我们开发了混合多变量逻辑模型,纳入了受试者的性别、年龄、治疗前情况和MFD以及研究地区。
模型预测,无论性别如何,每毫升血液中含有20000条微丝蚴(mf/mL)的人群中约1%、含有50000 mf/mL的人群中10%以及含有100000 mf/mL的人群中约三分之一会发生SAE。对于给定的MFD,男性发生SAE的风险是女性的三倍。
通过能够预测已知MFD分布社区中伊维菌素治疗后SAE风险,我们的结果可以指导基于伊维菌素的治疗策略选择的决策。结果还预测,通过在喀麦隆奥科拉区采用检测和治疗策略,2015年预防了37起SAE。
开发署/世界银行/世卫组织热带病研究和培训特别规划;法国国家科研中心;美迪善捐赠计划;比尔及梅琳达·盖茨基金会