Department of Medicine, Medical Practice Evaluation Center, Massachusetts General Hospital, Boston, MA.
Divisions of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, MA.
J Acquir Immune Defic Syndr. 2018 Aug 15;78 Suppl 1(1):S49-S57. doi: 10.1097/QAI.0000000000001749.
Computer-based simulation models serve an important purpose in informing HIV care for children and adolescents. We review current model-based approaches to informing pediatric and adolescent HIV estimates and guidelines.
Clinical disease simulation models and epidemiologic models are used to inform global and regional estimates of numbers of children and adolescents living with HIV and in need of antiretroviral therapy, to develop normative guidelines addressing strategies for diagnosis and treatment of HIV in children, and to forecast future need for pediatric and adolescent antiretroviral therapy formulations and commodities. To improve current model-generated estimates and policy recommendations, better country-level and regional-level data are needed about children living with HIV, as are improved data about survival and treatment outcomes for children with perinatal HIV infection as they age into adolescence and adulthood. In addition, novel metamodeling and value of information methods are being developed to improve the transparency of model methods and results, as well as to allow users to more easily tailor model-based analyses to their own settings.
Substantial progress has been made in using models to estimate the size of the pediatric and adolescent HIV epidemic, to inform the development of guidelines for children and adolescents affected by HIV, and to support targeted implementation of policy recommendations to maximize impact. Ongoing work will address key limitations and further improve these model-based projections.
基于计算机的模拟模型在为儿童和青少年提供艾滋病护理方面具有重要作用。我们回顾了目前基于模型的方法,以告知儿科和青少年艾滋病毒估计和指南。
临床疾病模拟模型和流行病学模型用于告知全球和区域儿童和青少年艾滋病毒感染者的数量和需要抗逆转录病毒治疗的人数,制定规范性指南,以解决儿童艾滋病毒诊断和治疗策略,并预测未来儿科和青少年抗逆转录病毒治疗配方和商品的需求。为了改进当前模型生成的估计和政策建议,需要更好地了解儿童感染者的国家和区域数据,还需要更好地了解围产期感染艾滋病毒的儿童的生存和治疗结果,因为他们会进入青少年和成年期。此外,正在开发新的混合模型和信息价值方法,以提高模型方法和结果的透明度,并使用户能够更轻松地根据自己的情况调整基于模型的分析。
在使用模型估计儿科和青少年艾滋病毒流行规模、为受艾滋病毒影响的儿童和青少年制定指南以及支持有针对性地实施政策建议以最大限度地发挥影响方面,已经取得了重大进展。正在进行的工作将解决关键的局限性,并进一步改进这些基于模型的预测。