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加强撒哈拉以南非洲地区药物警戒的最佳方法和策略:布基纳法索纳诺罗健康与人口监测系统中接受一线青蒿素联合疗法治疗患者的队列研究

Optimal Approach and Strategies to Strengthen Pharmacovigilance in Sub-Saharan Africa: A Cohort Study of Patients Treated with First-Line Artemisinin-Based Combination Therapies in the Nanoro Health and Demographic Surveillance System, Burkina Faso.

作者信息

Rouamba Toussaint, Sondo Paul, Derra Karim, Nakanabo-Diallo Seydou, Bihoun Biebo, Rouamba Eli, Tarnagda Zekiba, Kazienga Adama, Valea Innocent, Sorgho Hermann, Pagnoni Franco, Samadoulougou-Kirakoya Fati, Tinto Halidou

机构信息

Clinical Research Unit of Nanoro, Institut de Recherche en Sciences de la Santé, Centre National de la Recherche Scientifique et Technologique, Ouagadougou, Burkina Faso.

Center for Research in Epidemiology, Biostatistics and Clinical Research, School of Public Health, Université Libre de Bruxelles (ULB), Bruxelles, Belgium.

出版信息

Drug Des Devel Ther. 2020 Apr 16;14:1507-1521. doi: 10.2147/DDDT.S224857. eCollection 2020.

Abstract

BACKGROUND AND PURPOSE

Resource-limited countries face challenges in setting up effective pharmacovigilance systems. This study aimed to monitor the occurrence of adverse events (AEs) after the use of artemisinin-based combination therapies (ACTs), identify potential drivers of reporting suspected adverse drug reactions (ADRs) and monitor AEs among women who were inadvertently exposed to ACTs in the first trimester of pregnancy.

PATIENTS AND METHODS

We conducted a prospective observational study from May 2010 to July 2012 in Nanoro Health and Demographic Surveillance System (HDSS), Burkina Faso. The HDSS area was divided into active and passive surveillance areas to monitor AEs among patients (regardless of age or sex) who received a first-line ACT (artemether-lumefantrine or artesunate-amodiaquine). In the active surveillance area, patients were followed up for 28 days, while in the passive surveillance area, patients were encouraged to return voluntarily to the health facility to report any occurrence of AEs until day 28 after drug intake. We assessed the crude incidence rates of AEs in both cohorts and performed Cox regression with mixed random effects to identify potential drivers of ADR occurrence.

RESULTS

In total, 3170 participants were included in the study. Of these, 40.3% had reported at least one AE, with 39.6% and 44.4% from active and passive surveillance groups, respectively. The types of ADRs were similar in both groups. The most frequent reported ADRs were anorexia, weakness, cough, dizziness and pruritus. One case of abortion and eight cases of death were reported, but none of them was related to the ACT. The variance in random factors showed a high variability of ADR occurrence between patients in both groups, whereas variability between health facilities was low in the active surveillance group and high in passive surveillance group. Taking more than two concomitant medications was associated with high hazard in ADR occurrence, whereas the rainy season was associated with low hazard.

CONCLUSION

This study showed that both passive and active surveillance approaches were useful tools. The HDSS allowed us to capture a few cases of exposure during the first trimester of pregnancy. The passive surveillance approach, which is more likely to be implemented by malaria control programs, seems to be more relevant in the Sub-Saharan African context.

摘要

背景与目的

资源有限的国家在建立有效的药物警戒系统方面面临挑战。本研究旨在监测使用青蒿素联合疗法(ACTs)后不良事件(AEs)的发生情况,确定报告疑似药物不良反应(ADRs)的潜在驱动因素,并监测在妊娠头三个月意外接触ACTs的女性中的不良事件。

患者与方法

2010年5月至2012年7月,我们在布基纳法索的纳诺罗卫生与人口监测系统(HDSS)开展了一项前瞻性观察性研究。HDSS区域被划分为主动监测区和被动监测区,以监测接受一线ACT(蒿甲醚-本芴醇或青蒿琥酯-阿莫地喹)治疗的患者(无论年龄或性别)中的不良事件。在主动监测区,对患者进行28天的随访,而在被动监测区,鼓励患者自愿返回医疗机构报告服药后第28天内发生的任何不良事件。我们评估了两个队列中不良事件的粗发病率,并进行了具有混合随机效应的Cox回归,以确定药物不良反应发生的潜在驱动因素。

结果

共有3170名参与者纳入本研究。其中,40.3%的人报告了至少一种不良事件,主动监测组和被动监测组的报告率分别为39.6%和44.4%。两组药物不良反应的类型相似。报告最多的药物不良反应是厌食、虚弱、咳嗽、头晕和瘙痒。报告了1例流产和8例死亡,但均与ACT无关。随机因素的方差显示,两组患者之间药物不良反应的发生存在高度变异性,而主动监测组医疗机构之间的变异性较低,被动监测组较高。服用两种以上的伴随药物与药物不良反应发生的高风险相关,而雨季与低风险相关。

结论

本研究表明,被动和主动监测方法都是有用的工具。HDSS使我们能够捕获妊娠头三个月期间的一些暴露病例。被动监测方法更有可能由疟疾控制项目实施,在撒哈拉以南非洲背景下似乎更适用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/01ac/7174163/c6dc1489e200/DDDT-14-1507-g0001.jpg

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