Diagnostic performance of hepatitis C virus core antigen testing for detecting hepatitis C in people living with hepatitis B: a systematic review and meta-analysis.

IF 8.1 1区 医学
Ana Treviño-Nakoura, Daniel Sepúlveda-Crespo, José M Bellon, Helena Codina, Marta Quero-Delgado, Pablo Ryan, Isidoro Martínez, Salvador Resino
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引用次数: 0

Abstract

Background: The current diagnostic strategy for hepatitis C virus (HCV) infection involves a two-step approach: antibody HCV screening followed by confirmatory nucleic acid testing. This study aimed to evaluate the diagnostic performance of the Abbott ARCHITECT HCV Ag assay in serum/plasma samples as a potential one-step alternative for diagnosing active HCV infection in people living with hepatitis B virus (PLWHB) through a systematic review and meta-analysis.

Methods: A systematic review and meta-analysis were conducted following PRISMA-DTA guidelines. This protocol was registered on PROSPERO (CRD42023402093). A comprehensive search of electronic databases identified studies published up to 1 November 2024, comparing the ARCHITECT HCV Ag assay to an HCV-RNA reference standard. Sensitivity, specificity, and likelihood ratios were pooled using a random-effects model within the MIDAS module of Stata software. Study quality was assessed using QUADAS-2. Heterogeneity was evaluated using the Q statistic, quantified using the I², and further explored through meta-regression.

Results: Ten studies (n = 494 participants) met inclusion criteria. The Abbott ARCHITECT HCV Ag assay demonstrated high sensitivity [91%, 95% confidence interval (CI): 76-97%] and specificity (99%, 95% CI: 99-100%). The positive likelihood ratio (PLR) was 81.20 (95% CI: 12.34-534.36), and the negative likelihood ratio (NLR) was 0.09 (95% CI: 0.03-0.27). The area under the summary receiver operating characteristic curve (AUC-SROC) was 99% (95% CI 98-100%). In regions with high HCV prevalence (≥ 10%), the test accurately confirmed active HCV infection in over 90% of cases. However, confirmatory testing remains necessary in low-prevalence settings (≤ 5%). The assay demonstrated an excellent ability to identify individuals without HCV infection, with a low false-negative rate (≤ 2%) regardless of HCV prevalence. Heterogeneity analysis revealed moderate to substantial variation in test performance (I² = 72.09% for sensitivity, 35.47% for PLR, and 78.33% for NLR). QUADAS-2 applicability concerns predicted heterogeneity, but differences were likely insignificant due to minimal variations and limited studies.

Conclusions: The Abbott ARCHITECT HCV Ag assay exhibited promising accuracy in detecting active HCV infection among PLWHB. This test might help diagnose active HCV infection in high-prevalence scenarios (≥ 10%) but needs further confirmation in low-prevalence settings (≤ 5%).

丙型肝炎病毒核心抗原检测在乙型肝炎患者中检测丙型肝炎的诊断性能:一项系统综述和荟萃分析
背景:目前丙型肝炎病毒(HCV)感染的诊断策略包括两步方法:抗体HCV筛查,然后进行确认性核酸检测。本研究旨在通过系统回顾和荟萃分析,评估雅培ARCHITECT HCV Ag检测在血清/血浆样本中的诊断性能,作为诊断乙型肝炎病毒(PLWHB)活动性HCV感染的潜在一步替代方法。方法:根据PRISMA-DTA指南进行系统评价和荟萃分析。该协议在PROSPERO上注册(CRD42023402093)。对电子数据库的全面搜索确定了截至2024年11月1日发表的研究,将ARCHITECT HCV Ag检测方法与HCV- rna参考标准进行了比较。灵敏度、特异性和似然比使用Stata软件MIDAS模块中的随机效应模型进行汇总。采用QUADAS-2评估研究质量。使用Q统计量评估异质性,使用I²量化,并通过元回归进一步探讨。结果:10项研究(n = 494名受试者)符合纳入标准。雅培ARCHITECT HCV Ag检测显示出高灵敏度[91%,95%置信区间(CI): 76-97%]和特异性(99%,95% CI: 99-100%)。阳性似然比(PLR)为81.20 (95% CI: 12.34 ~ 534.36),阴性似然比(NLR)为0.09 (95% CI: 0.03 ~ 0.27)。总体受试者工作特征曲线(AUC-SROC)下面积为99% (95% CI 98-100%)。在HCV患病率高的地区(≥10%),该检测在90%以上的病例中准确确诊了活动性HCV感染。然而,在低患病率环境中(≤5%),仍有必要进行确认性检测。该检测显示出极好的识别无HCV感染个体的能力,无论HCV流行程度如何,其假阴性率都很低(≤2%)。异质性分析显示,测试性能存在中度至实质性差异(I²为灵敏度= 72.09%,PLR = 35.47%, NLR = 78.33%)。QUADAS-2的适用性涉及预测异质性,但由于变异很小且研究有限,差异可能不显著。结论:雅培ARCHITECT HCV Ag检测在PLWHB患者中检测活动性HCV感染具有良好的准确性。该测试可能有助于在高流行情况下(≥10%)诊断活动性HCV感染,但在低流行情况下(≤5%)需要进一步确认。
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来源期刊
Infectious Diseases of Poverty
Infectious Diseases of Poverty INFECTIOUS DISEASES-
自引率
1.20%
发文量
368
期刊介绍: Infectious Diseases of Poverty is an open access, peer-reviewed journal that focuses on addressing essential public health questions related to infectious diseases of poverty. The journal covers a wide range of topics including the biology of pathogens and vectors, diagnosis and detection, treatment and case management, epidemiology and modeling, zoonotic hosts and animal reservoirs, control strategies and implementation, new technologies and application. It also considers the transdisciplinary or multisectoral effects on health systems, ecohealth, environmental management, and innovative technology. The journal aims to identify and assess research and information gaps that hinder progress towards new interventions for public health problems in the developing world. Additionally, it provides a platform for discussing these issues to advance research and evidence building for improved public health interventions in poor settings.
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