Liver Injury Following Isoniazid Preventive Therapy in HIV Patients Attending Halibet National Referral Hospital, Eritrea: A Prospective Cohort Study.

IF 1.9 Q3 PHARMACOLOGY & PHARMACY
Drugs - Real World Outcomes Pub Date : 2023-09-01 Epub Date: 2023-06-08 DOI:10.1007/s40801-023-00375-1
Mulugeta Russom, Daniel Y B Jeannetot, Araia Berhane, Henok G Woldu, Bruno H Stricker, Katia M C Verhamme
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引用次数: 0

Abstract

Introduction: A 6-month course of isoniazid, 300 mg daily, was programmatically introduced in Eritrea in 2014 as tuberculosis preventive therapy in people living with human immunodeficiency virus (PLHIV). The rollout of isoniazid preventive therapy (IPT) in PLHIV was successful in the first 2-3 years. After 2016, rumours based on rare but real incidents of liver injuries following use of IPT spread widely across the country and created concerns amongst healthcare professionals and consumers, that ultimately caused dramatic decline in the rollout of the intervention. Decision makers have been demanding better evidence as previously conducted local studies had inherent methodological limitations. This real-world observational study was conducted to evaluate the risk of liver injury associated with IPT among PLHIV attending Halibet national referral hospital, Asmara, Eritrea.

Methods: A prospective cohort study, that consecutively enrolled PLHIV attending Halibet hospital, was conducted between 1 March and 30 October 2021. Those exposed to anti-retroviral therapy (ART) plus IPT were considered as exposed and those taking only ART were considered as unexposed. Both groups were prospectively followed up for 4-5 months with monthly liver function tests (LFTs). A Cox proportional hazard model was used to explore whether there was increased risk of drug-induced liver injury (DILI) associated with IPT. Probability of survival without DILI was also estimated using Kaplan-Meier curves.

Results: A total of 552 patients, 284 exposed and 268 unexposed, completed the study, with a mean follow-up time of 3.97 (SD 0.675) months for the exposed and 4.06 (SD 0.675) months for the unexposed. Twelve patients developed drug-induced liver injury (DILI), with a median time-to-onset of 35 days (interquartile range: 26.8, 60 days). All cases were from the exposed group and all except two cases were asymptomatic. The incidence rate of DILI in the exposed group was 10.6 cases per 1000 person-months and zero for the unexposed group (p = 0.002).

Conclusion: DILI in PLHIV taking IPT was common; therefore, liver function should be closely monitored to safely administer the product. Despite high levels of deranged liver enzymes, the majority had no symptoms of DILI, emphasising the importance of close laboratory monitoring, especially during the first 3 months of treatment.

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厄立特里亚Halibet国家转诊医院HIV患者接受异烟肼预防性治疗后的肝损伤:一项前瞻性队列研究。
简介:2014年,厄立特里亚计划推出一个为期6个月的异烟肼疗程,每天300毫克,作为人类免疫缺陷病毒(PLHIV)感染者的结核病预防治疗。异烟肼预防性治疗(IPT)在PLHIV的最初2-3年取得了成功。2016年之后,基于使用IPT后罕见但真实的肝损伤事件的谣言在全国广泛传播,并引起了医疗专业人员和消费者的担忧,最终导致干预措施的推出大幅下降。决策者一直要求提供更好的证据,因为以前进行的地方研究有固有的方法局限性。这项真实世界的观察性研究是为了评估在厄立特里亚阿斯马拉Halibet国家转诊医院就诊的PLHIV患者中与IPT相关的肝损伤风险。那些暴露于抗逆转录病毒疗法(ART)加IPT的患者被视为暴露,而那些只接受ART的患者被认为是未暴露。两组患者均进行了为期4-5个月的前瞻性随访,每月进行肝功能测试(LFT)。Cox比例风险模型用于探讨IPT是否会增加药物性肝损伤(DILI)的风险。还使用Kaplan-Meier曲线估计了没有DILI的存活概率。结果:共有552名患者(284名暴露患者和268名未暴露患者)完成了研究,暴露患者的平均随访时间为3.97(标准差0.675)个月,未暴露患者的随访时间为4.06(标准差0.655)个月。12名患者出现药物性肝损伤(DILI),中位发病时间为35天(四分位间距:26.8,60天)。所有病例均来自暴露组,除两例外,其余均无症状。暴露组DILI的发生率为10.6例/1000人月,未暴露组为零(p=0.002);因此,应密切监测肝功能,以安全用药。尽管肝酶水平很高,但大多数患者没有DILI症状,这强调了密切实验室监测的重要性,尤其是在治疗的前3个月。
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来源期刊
Drugs - Real World Outcomes
Drugs - Real World Outcomes PHARMACOLOGY & PHARMACY-
CiteScore
3.60
自引率
5.00%
发文量
49
审稿时长
8 weeks
期刊介绍: Drugs - Real World Outcomes targets original research and definitive reviews regarding the use of real-world data to evaluate health outcomes and inform healthcare decision-making on drugs, devices and other interventions in clinical practice. The journal includes, but is not limited to, the following research areas: Using registries/databases/health records and other non-selected observational datasets to investigate: drug use and treatment outcomes prescription patterns drug safety signals adherence to treatment guidelines benefit : risk profiles comparative effectiveness economic analyses including cost-of-illness Data-driven research methodologies, including the capture, curation, search, sharing, analysis and interpretation of ‘big data’ Techniques and approaches to optimise real-world modelling.
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