尼日利亚不同血清学人群中艾滋病毒感染状况的错误分类:对检测和治疗方案的影响。

IF 2.7 3区 医学 Q2 HEALTH CARE SCIENCES & SERVICES
George I E Eluwa, Scott Geibel, Steven Callens, Lung Vu, Vincent J Wong, Isa Iyortim
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引用次数: 0

摘要

背景:2015 年,世界卫生组织(WHO)推出了 "检测和治疗 "政策,支持对所有艾滋病毒感染者进行抗逆转录病毒治疗,无论其 CD4 细胞计数或临床阶段如何。尼日利亚于 2016 年采用了这一政策。这项政策推动了艾滋病检测策略和差异化护理模式(包括基于社区的抗逆转录病毒疗法)的推广。本研究对 HIV 检测算法进行了评估,并评估了新诊断客户中 HIV 感染状况的误判率:方法:2018 年 2 月至 8 月期间,收集了拉各斯州和贝努埃州新诊断出感染 HIV 的客户的全血样本。在针对重点人群和普通人群的外展活动中,使用序列算法进行快速检测,确认艾滋病毒感染状况。使用 GenScreen™ HIV1/2.O 仅抗体 ELISA 检测试剂盒(美国 BioRad 公司)确认 HIV 阳性。使用设置在终点 450 波长的 Emax 微孔板阅读器测量每个样本的光密度(OD)。根据制造商的算法、样品的光密度和计算出的临界值比值,光密度为 1.0 时为阳性。快速检测算法结果与酶联免疫吸附试验结果的一致性被用来估算被误判的样本比例:在拉各斯的 4 个地点和贝努埃的 3 个地点共采集了 788 份新诊断客户的样本。拉各斯州和贝努埃州分别从 212 名和 178 名重点人群 (KPs) 患者以及 206 名和 192 名普通人群 (GPs) 患者中采集了样本。平均 OD 值为 3.75(IQR:3.70-3.81),标准偏差为 0.13。快速检测与 ELISA 检测结果的一致性为 100%,未发现任何错误分类:结论:我们没有发现艾滋病病毒抗体阳性的错误分类情况,这表明所有接受治疗的患者都确实感染了艾滋病病毒。所有地点记录的一致性率均为 100%,这可能是因为尼日利亚的艾滋病项目已经成熟,同时还为临床和外展检测服务建立了标准的质量保证系统。这一结果支持了尼日利亚所采取的检测和治疗政策的实施。因此,建议扩大检测和治疗以及社区抗逆转录病毒疗法的规模,以增加获得治疗的机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Misclassification of HIV infection status among serologically diverse populations in Nigeria: implications for test and treat program.

Background: In 2015, the World Health Organization (WHO) launched the Test and Treat policy which supports antiretroviral treatment for all people with HIV, irrespective of CD4 count or clinical stage. This was adopted in 2016 in Nigeria. This policy resulted in scaleup of HIV testing strategies and differentiated models of care including community-based ART. This study evaluated the HIV testing algorithm and assessed the rates of misclassification of HIV status among newly diagnosed clients.

Methods: Between February and August 2018, whole blood samples were collected from clients newly diagnosed with HIV in Lagos and Benue states. HIV status wasconfirmed with rapid tests using the serial algorithm during outreach sessions for both key populations and general populations. HIV positivity was confirmed using GenScreen™ HIV1/2.O Antibody only ELISA test (BioRad, USA). Optical density (OD) for each sample was measured with the use of Emax microplate reader set at endpoint 450 wavelength. Based on manufacturer's algorithm, sample OD and calculated cut-off value ratio, an OD < 1.0 was interpreted as negative and > 1.0, positive. Concordance between rapid test algorithm result and ELISA was used to estimate the proportion of samples that were misclassified.

Results: A total of 788 samples were collected from newly diagnosed clients across 4 sites in Lagos and 3 sites in Benue. Samples were collected from 212 and 178 key populations (KPs) clients in Lagos and Benue, respectively, and from 206 and 192 general population (GPs) clients in Lagos and Benue, respectively. Mean OD was 3.75 (IQR:3.70-3.81) with a standard deviation of 0.13. There was a 100% concordance between rapid test and ELISA results and no misclassification identified.

Conclusion: We identified no instances of misclassification of positive HIV status suggesting that all clients who have been placed on treatment truly had HIV infection. The 100% concordance rate recorded from all the sites may be attributable to the maturity of the HIV program in Nigerian with a concomitant standard quality assurance system for both clinical and outreach testing services. This finding supports the implementation of the Test and Treat policy that Nigeria has adopted. Scale up of Test and Treat and community ART is thus recommended to increase access to treatment.

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来源期刊
BMC Health Services Research
BMC Health Services Research 医学-卫生保健
CiteScore
4.40
自引率
7.10%
发文量
1372
审稿时长
6 months
期刊介绍: BMC Health Services Research is an open access, peer-reviewed journal that considers articles on all aspects of health services research, including delivery of care, management of health services, assessment of healthcare needs, measurement of outcomes, allocation of healthcare resources, evaluation of different health markets and health services organizations, international comparative analysis of health systems, health economics and the impact of health policies and regulations.
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