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本文引用的文献

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The clinical impact and cost-effectiveness of routine, voluntary HIV screening in South Africa.南非常规、自愿的 HIV 筛查的临床影响和成本效益。
J Acquir Immune Defic Syndr. 2011 Jan 1;56(1):26-35. doi: 10.1097/QAI.0b013e3181fb8f24.
2
Client characteristics and HIV risk associated with repeat HIV testing among women in Ethiopia.埃塞俄比亚女性中与重复 HIV 检测相关的客户特征和 HIV 风险。
AIDS Behav. 2011 May;15(4):725-33. doi: 10.1007/s10461-010-9765-1.
3
Effect of baseline HIV disease parameters on CD4+ T cell recovery after antiretroviral therapy initiation in Kenyan women.肯尼亚女性在开始抗逆转录病毒治疗后,其 CD4+ T 细胞恢复情况与基线 HIV 疾病参数的相关性。
PLoS One. 2010 Jul 2;5(7):e11434. doi: 10.1371/journal.pone.0011434.
4
Heterosexual HIV-1 transmission after initiation of antiretroviral therapy: a prospective cohort analysis.抗反转录病毒治疗启动后异性 HIV-1 传播:一项前瞻性队列分析。
Lancet. 2010 Jun 12;375(9731):2092-8. doi: 10.1016/S0140-6736(10)60705-2. Epub 2010 May 26.
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Increasing access to HIV counseling and testing through mobile services in Kenya: strategies, utilization, and cost-effectiveness.通过肯尼亚的移动服务增加艾滋病毒咨询和检测的可及性:策略、利用和成本效益。
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HIV-1 viral subtype differences in the rate of CD4+ T-cell decline among HIV seroincident antiretroviral naive persons in Rakai district, Uganda.在乌干达拉凯地区,HIV 血清学新发的抗逆转录病毒治疗初治人群中,HIV-1 病毒亚型差异对 CD4+T 细胞下降率的影响。
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From HIV diagnosis to treatment: evaluation of a referral system to promote and monitor access to antiretroviral therapy in rural Tanzania.从 HIV 诊断到治疗:评估一个转诊系统,以促进和监测坦桑尼亚农村地区获得抗逆转录病毒治疗的情况。
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Changing mortality risk associated with CD4 cell response to antiretroviral therapy in South Africa.南非与抗逆转录病毒疗法的CD4细胞反应相关的死亡风险变化
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撒哈拉以南非洲地区替代 HIV 重复检测策略的成本效益分析。

A cost-effectiveness analysis of alternative HIV retesting strategies in sub-saharan Africa.

机构信息

Duke Global Health Institute, Duke University, Durham, NC 27701, USA.

出版信息

J Acquir Immune Defic Syndr. 2011 Apr 15;56(5):443-52. doi: 10.1097/QAI.0b013e3182118f8c.

DOI:10.1097/QAI.0b013e3182118f8c
PMID:21297484
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3143215/
Abstract

BACKGROUND

Guidelines in sub-Saharan Africa on when HIV-seronegative persons should retest range from never to annually for lower-risk populations and from annually to every 3 months for high-risk populations.

METHODS

We designed a mathematical model to compare the cost-effectiveness of alternative HIV retesting frequencies. Cost of HIV counseling and testing, linkage to care, treatment costs, disease progression, and mortality, and HIV transmission are modeled for three hypothetical cohorts with posited annual HIV incidence of 0.8%, 1.3%, and 4.0%, respectively. The model compared costs, quality-adjusted life-years gained, and secondary infections averted from testing intervals ranging from 3 months to 30 years. Input parameters from sub-Saharan Africa were used and explored in sensitivity analyses.

RESULTS

Accounting for secondary infections averted, the most cost-effective testing frequency was every 7.5 years for 0.8% incidence, every 5 years for 1.3% incidence, and every 2 years for 4.0% incidence. Optimal testing strategies and their relative cost-effectiveness were most sensitive to assumptions about HIV counseling and testing and treatment costs, rates of CD4 decline, rates of HIV transmission, and whether tertiary infections averted were taken into account.

CONCLUSIONS

While higher risk populations merit more frequent HIV testing than low risk populations, regular retesting is beneficial even in low-risk populations. Our data demonstrate benefits of tailoring testing intervals to resource constraints and local HIV incidence rates.

摘要

背景

撒哈拉以南非洲地区关于 HIV 血清阴性者何时应重新检测的指南,对于低危人群,范围从无需检测到每年检测;对于高危人群,范围从每年检测到每 3 个月检测。

方法

我们设计了一个数学模型,以比较不同 HIV 重新检测频率的成本效益。对于假定的每年 HIV 发病率分别为 0.8%、1.3%和 4.0%的三个假设队列,对 HIV 咨询和检测、与护理机构的衔接、治疗费用、疾病进展和死亡率以及 HIV 传播进行了成本建模。该模型比较了从 3 个月到 30 年不等的检测间隔所带来的成本、获得的质量调整生命年以及避免的二次感染。使用了来自撒哈拉以南非洲的输入参数,并在敏感性分析中进行了探讨。

结果

考虑到避免的二次感染,0.8%发病率的最具成本效益的检测频率是每 7.5 年一次,1.3%发病率的检测频率是每 5 年一次,4.0%发病率的检测频率是每 2 年一次。最佳检测策略及其相对成本效益对 HIV 咨询和检测以及治疗费用、CD4 下降率、HIV 传播率以及是否考虑避免三级感染的假设最为敏感。

结论

虽然高危人群比低危人群更需要频繁的 HIV 检测,但即使在低危人群中,定期重新检测也是有益的。我们的数据表明,根据资源限制和当地 HIV 发病率调整检测间隔是有益的。