艾滋病抗逆转录病毒治疗的成本、疗效和预防作用的比较研究

在青年科学基金项目的支持下，课题组运用亚洲疫情模型在艾滋病高流行地区开展了流行趋势分析，探索了疫情预测方法，评价了防治效果，以便改进防治策略。在研究过程中，课题组愈加认识到，随着国家对艾滋病防治经费投入的不断增加，不仅需要对整体防治效果进行评估，还需要对各单项防治措施开展成本效果评价。在众多的防艾措施中，抗逆转录病毒治疗是核心环节，不仅对减少病人机会性感染、提高其生活质量、延长其寿命、增加社会贡献作用巨大，而且对减少新发感染、预防二代传播意义重大。随着艾滋病病人的增加，抗病毒治疗经费占总经费的比重越来越高，抗病毒治疗的成本效果分析对其它防治措施具有很强的示范意义。课题组拟通过现场调查，结合Markov 模型，分析病人在不同状态（CD4 淋巴细胞数决定）下的抗病毒治疗成本和效果，数据主要来源于现场调查和二手资料。同时，经过研究及检验所形成的抗病毒治疗的评价方法和思路，可推广应用于其它防治措施。

Under the support of the National Youth Science Foundation, the research team utilized the Asian epidemic model in high HIV prevalence areas to carry out trends analysis, explore the epidemic prediction methods, and evaluate of the control and prevention effects, so that improve the prevention and treatment strategies. During the course, our team even more recognized that, not only the overall control effects assessment was required, but also the cost-effectiveness evaluation of each independent control measure was demanded, with the increasingly national inputs for AIDS prevention and control. Among various AIDS prevention measures, the antiretroviral therapy was the core of all, which could reduce the incidence of opportunistic infections, improve the patient's life quality, prolong life-span, as well as increase the society contribution to a large extent. And also in aspects of reducing new HIV infection and preventing secondary transmission, the antiretroviral therapy made a great significance. With the increase of AIDS patients, the proportion of the antiretroviral therapy funding to total funding is higher and higher, cost-effectiveness analysis of the antiretroviral therapy had a strong demonstration to other prevention measures. Through field investigation, the research team combined with the Markov model to analyze cost-effectiveness of treatment in different CD4 cell count. The model parameters mainly derived from field surveys and secondary sources. In the meantime, the evaluation methods and ideas which were formed after the research testing could be applied to other control and prevention measures.