Chang Larry W, Harris Jamal, Humphreys Eliza
Division of Infectious Diseases, Department of Medicine, Johns Hopkins School of Medicine, 1503 East Jefferson St., Room 116, Baltimore, MD, USA, 21287.
Cochrane Database Syst Rev. 2010 Apr 14(4):CD008494. doi: 10.1002/14651858.CD008494.
One of the critical clinical decisions made in antiretroviral therapy (ART) is when to switch from an initial regimen to another due to treatment failure. This complex process requires consideration of multiple factors including: (1) what type of monitoring (e.g. clinical, immunologic, virologic) is available to guide switching; (2) establishing criteria for treatment failure (e.g. viral load >10,000 copies/mL); (3) integrating data from different types of monitoring; (4) making a decision; and, if possible, (5) follow-up and monitoring to determine patient outcomes. The initial step in this model of deciding when to switch is determining what type of monitoring for guiding when to switch is available and appropriate. This review seeks to find and summarize evidence on optimal monitoring strategies for guiding when to switch first-line regimens due to treatment failure among adults and adolescents living with HIV in low-resource settings. This review was one of a series of reviews prepared in 2009 at the request of the World Health Organization to inform the development of new guidelines on ART for adults and adolescents.
To assess optimal monitoring strategies for guiding when to switch antiretroviral therapy regimens for first-line treatment failure among adults and adolescents living with HIV in low-resource settings.
We formulated a comprehensive and exhaustive search strategy in an attempt to identify all relevant studies regardless of language or publication status. In July 2009, we search the following electronic journal and trial databases: MEDLINE, EMBASE, CENTRAL. We also searched conference databases using NLM Gateway (for HIV/AIDS conference abstracts before 2005), abstract databases from the Conferences on Retroviruses and Opportunistic Infections, International AIDS Conferences, and International AIDS Society Conferences on HIV Pathogenesis, Treatment, and Prevention from 2005 to 2009, and the trials registers ClinicalTrials.gov, Current Controlled Trials, and Pan-African Clinical Trials Registry. We contacted researchers and relevant organizations and checked reference lists for all included studies.
We selected studies which evaluated a monitoring intervention/strategy that helps guide when to switch ART. Study types included randomized controlled trials and observational studies (cohort and case-control) which included comparators.
One author performed an initial screening. Two authors performed a detailed screening. Two authors independently assessed study eligibility, extracted data, and graded methodological quality. Differences were resolved by a third reviewer. Heterogeneity was assessed, and meta-analyses were performed where appropriate.
Two randomized trials were identified which were in abstract form only. Two cohort studies (both published) with comparators were identified. Of the evidence available, three comparisons were studied: clinical versus immunologic and clinical monitoring; clinical versus virologic, immunologic, and clinical monitoring; and immunologic and clinical monitoring versus virologic, immunologic, and clinical monitoring. Clinical vs. Immunologic and Clinical Monitoring: Based upon two randomized trials, clinical monitoring alone results in increased mortality (low-quality evidence), increased AIDS-defining illnesses and mortality as a composite endpoint (moderate), no difference in serious adverse events (low), increased numbers of unnecessary switches (low), and no difference in switches to second-line (low) compared to immunological and clinical monitoring. Clinical vs. Virologic, Immunologic, and Clinical Monitoring: Based upon a single randomized trial, clinical monitoring alone results in a trend toward increased mortality (low), increased AIDS-defining illnesses and mortality as a composite endpoint (low), increased unnecessary switches (low), no difference in virologic treatment failures (low), and a trend toward increased switches to second-line (low) compared to virologic, immunologic, and clinical monitoring. Immunologic and Clinical vs. Virologic, Immunologic, and Clinical Monitoring: Based upon a single randomized trial, immunologic and clinical monitoring results in no difference in mortality (low), no difference in AIDS-defining illnesses and mortality as a composite endpoint (low), no difference in unnecessary switches (very low), no difference in virologic treatment failures (low), and no difference in switches to second-line (low) compared to virologic, immunologic, and clinical monitoring. Observational studies appear to demonstrate that programs with virologic, immunologic, and clinical monitoring switch therapy more frequently (very low), earlier (very low), and at higher CD4 counts (very low) compared with programs that have immunologic and clinical monitoring alone.
AUTHORS' CONCLUSIONS: A limited number of studies were available to address this topic, and, of the two randomized trials identified, both were in abstract form only. Observational studies also were limited in number and were of lesser quality. Although the quality of the evidence varied from the randomized trials, ranging from very low to moderate, there appeared to be substantial benefits for key outcomes (e.g. mortality, AIDS-defining illness and mortality as a composite endpoint, and unnecessary switches) favoring both immunologic and clinical monitoring or virologic, immunologic, and clinical monitoring versus clinical monitoring alone. Very low-quality evidence from observational studies suggested that virologic, immunologic, and clinical monitoring led to more frequent switching, earlier switching, and switching at higher CD4 counts compared with immunologic and clinical monitoring. Further information on the studies currently reported in abstract form will provide insight. Ongoing studies addressing this topic likely will provide information to further clarify optimal monitoring strategies for guiding when to switch first-line therapy. Additionally, studies looking at different virologic monitoring frequencies and/or virologic monitoring at different times after ART initiation (e.g. after 2-3 years) would be informative. Finally, cost-analysis studies will lend further insights into the applicability of these findings to low-resource settings.
抗逆转录病毒疗法(ART)中一项关键的临床决策是,在治疗失败时何时从初始治疗方案转换为另一种方案。这个复杂的过程需要考虑多个因素,包括:(1)可用于指导转换的监测类型(如临床、免疫学、病毒学监测);(2)确定治疗失败的标准(如病毒载量>10,000拷贝/毫升);(3)整合不同类型监测的数据;(4)做出决策;以及,如果可能的话,(5)随访和监测以确定患者的治疗结果。在这个决定何时转换的模型中,第一步是确定可用于指导何时转换且合适的监测类型。本综述旨在寻找并总结关于在资源匮乏地区,指导成人及青少年HIV感染者因治疗失败而何时转换一线治疗方案的最佳监测策略的证据。本综述是2009年应世界卫生组织要求编写的一系列综述之一,旨在为制定成人及青少年抗逆转录病毒治疗新指南提供参考。
评估在资源匮乏地区,指导成人及青少年HIV感染者因一线治疗失败而何时转换抗逆转录病毒治疗方案的最佳监测策略。
我们制定了全面详尽的检索策略,试图识别所有相关研究,无论其语言或发表状态如何。2009年7月,我们检索了以下电子期刊和试验数据库:MEDLINE、EMBASE、CENTRAL。我们还使用NLM网关检索了会议数据库(用于检索2005年之前的HIV/艾滋病会议摘要)、逆转录病毒与机会性感染会议、国际艾滋病会议以及2005年至2009年国际艾滋病学会关于HIV发病机制、治疗和预防会议的摘要数据库,以及试验注册库ClinicalTrials.gov、Current Controlled Trials和泛非临床试验注册库。我们联系了研究人员和相关组织,并查阅了所有纳入研究的参考文献列表。
我们选择了评估有助于指导何时转换抗逆转录病毒治疗方案的监测干预措施/策略的研究。研究类型包括随机对照试验和观察性研究(队列研究和病例对照研究),其中包括对照。
由一位作者进行初步筛选。两位作者进行详细筛选。两位作者独立评估研究的合格性、提取数据并对方法学质量进行评分。分歧由第三位审阅者解决。评估了异质性,并在适当情况下进行了荟萃分析。
识别出两项随机试验,均仅以摘要形式存在。识别出两项有对照的队列研究(均已发表)。在现有证据中,研究了三项比较:临床监测与免疫学及临床监测;临床监测与病毒学、免疫学及临床监测;免疫学及临床监测与病毒学、免疫学及临床监测。临床监测与免疫学及临床监测:基于两项随机试验,与免疫学及临床监测相比,单独的临床监测会导致死亡率增加(低质量证据)、作为综合终点的艾滋病定义疾病和死亡率增加(中等质量)、严重不良事件无差异(低质量)、不必要的转换次数增加(低质量)以及转换至二线治疗无差异(低质量)。临床监测与病毒学、免疫学及临床监测:基于一项随机试验,与病毒学、免疫学及临床监测相比,单独的临床监测会导致死亡率有增加趋势(低质量)、作为综合终点的艾滋病定义疾病和死亡率增加(低质量)、不必要的转换次数增加(低质量)、病毒学治疗失败无差异(低质量)以及转换至二线治疗有增加趋势(低质量)。免疫学及临床监测与病毒学、免疫学及临床监测:基于一项随机试验,与病毒学、免疫学及临床监测相比,免疫学及临床监测在死亡率方面无差异(低质量)、作为综合终点的艾滋病定义疾病和死亡率无差异(低质量)、不必要的转换无差异(极低质量)、病毒学治疗失败无差异(低质量)以及转换至二线治疗无差异(低质量)。观察性研究似乎表明,与仅进行免疫学及临床监测的项目相比,但病毒学、免疫学及临床监测的项目更频繁(极低质量)、更早(极低质量)且在更高的CD4细胞计数时(极低质量)转换治疗。
可用于解决该主题的研究数量有限,在识别出的两项随机试验中,均仅以摘要形式存在。观察性研究的数量也有限且质量较低。尽管随机试验的证据质量各不相同,从极低到中等质量,但对于关键结局(如死亡率、作为综合终点的艾滋病定义疾病和死亡率以及不必要的转换)而言,免疫学及临床监测或病毒学、免疫学及临床监测似乎比单独的临床监测有显著益处。观察性研究的极低质量证据表明,与免疫学及临床监测相比,病毒学、免疫学及临床监测导致更频繁的转换、更早的转换以及在更高的CD4细胞计数时转换。目前以摘要形式报道的研究的更多信息将提供深入见解。针对该主题正在进行的研究可能会提供信息,以进一步阐明指导何时转换一线治疗的最佳监测策略。此外,研究不同的病毒学监测频率和/或在抗逆转录病毒治疗开始后的不同时间(如2 - 3年后)进行病毒学监测将很有意义。最后,成本分析研究将进一步深入了解这些研究结果在资源匮乏地区的适用性。