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      Alert, but not alarmed - a comment on “Towards more accurate HIV testing in sub-Saharan Africa: a multi-site evaluation of HIV RDTs and risk factors for false positives (Kosack et al. 2017)”

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          Abstract

          Dear Editors, We read with interest Kosack and colleagues’ article [1], which evaluated eight HIV rapid diagnostic tests (RDTs) using specimens collected from Médecins Sans Frontières (MSF) sites, between 2011 and 2015, in five African countries. Authors state that RDT accuracy differed from previous evaluations conducted by the World Health Organization (WHO), concluding only one HIV RDT achieved WHO prequalification performance criteria and none met WHO performance thresholds when using the “lower end of the 95% CI”. Authors attributed such “poor performance”, primarily poor specificity, to the RDTs and possible non-specific geographical and population-level interferrents. Overall, we agree with the author’s findings and their conclusions, which affirm WHO recommendations to use a validated testing algorithm. However, we do not agree with the author’s discussion, which is at odds with WHO’s data and suggests misdiagnosis of HIV occurred and can be attributed to WHO-prequalified RDTs. Given the limitations of the evidence presented, we find their discussion to be potentially misleading. The authors report that they found a substantial number of false reactive test results resulting in poor positive predictive values. This finding is based on the result of a single HIV RDT. A single reactive test result is never sufficient to make an HIV-positive diagnosis. To provide a definitive HIV diagnosis, WHO recommends countries use a high (≥5%) or low (<5%) prevalence testing strategy comprised of up to three RDTs as part of a validated testing algorithm [2]. Thus, it is incorrect for the authors to discuss these findings in the context of “misdiagnosis”, as no evidence of actual misdiagnosis (false positive or false negative diagnoses) is presented. In fact, while not noted by the authors, if all study sites used the data from Table 2 and adhered to WHO recommendations, all settings could construct a highly accurate testing algorithm and thereby provide highly accurate HIV diagnoses. While the authors acknowledge that some studies have found HIV RDT performance, particularly specificity, to vary across populations and settings due to cross-reacting antibodies [3–9], they state that their study relied on self-reported morbidities and did not find a significant association with false reactive results. However, Table 7 suggests that self-reported “malaria” was associated with false reactive test results on one RDT (2.62, 95% confidence interval [CI]: 1.21–5.6). In the absence of a review of clinical records and patient information, it is not known what other morbidities or factors may have contributed to these results. Authors also did not provide details on the sites where the specimens were collected, or the testing algorithms used at each site. Without knowing the testing algorithms, it is not known if the specimens were characterized correctly. Between 2011 and 2015 it is known that some of the study countries utilized a “tiebreaker” approach to resolve discrepant test results and rule in HIV infection, instead of considering these results as “inconclusive” and retesting patients in 14 days as recommended by WHO [2]. Previous studies have demonstrated this to be a possible cause of false positive results and misdiagnoses [10–18]. Thus, if these suboptimal testing strategies were used at site level, the study may have included “inconclusive” specimens that were misclassified as “HIV-positive” specimens. This could explain the high proportion of false reactive results observed. Lastly, although the authors report this as a systematic head-to-head evaluation, it should be clarified that this study did not conduct a systematic head-to-head comparison of MSF and WHO evaluations. Authors do not discuss methodological differences between WHO performance evaluations and those presented by the authors; namely that WHO evaluations are conducted using specimens collected worldwide. WHO performance criteria are based on RDTs achieving ≥99% sensitivity and ≥98% specificity as a fixed proportion because characterized HIV-positive and HIV-negative specimens are used [19]. Using a 95% CI is only relevant if one is making an inference to the population where the specimens originated and the true HIV status of the specimens is unknown. Therefore, using the lower end of the 95% CI as a point of comparison between WHO and MSF evaluations is irrelevant and misleading. This study presents important results and affirms the importance of using a validated testing algorithm, as recommended by WHO. While we concur with their conclusion, the author’s discussion points are not supported by the evidence in this article. Authors should reconsider their remarks or provide evidence indicating actual misdiagnosis, attributable to RDT performance alone. This evidence should be viewed in the broader context of HIV diagnosis. Countries must be advised that WHO-prequalified HIV RDTs are accurate and can be used to provide a reliable HIV diagnosis. Nevertheless, countries and programmes need to ensure that they are following WHO-recommended HIV testing strategies and use a validated testing algorithm.

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          Most cited references14

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          Causes of false-positive HIV rapid diagnostic test results

          HIV rapid diagnostic tests have enabled widespread implementation of HIV programs in resource-limited settings. If the tests used in the diagnostic algorithm are susceptible to the same cause for false positivity, a false-positive diagnosis may result in devastating consequences. In resource-limited settings, the lack of routine confirmatory testing, compounded by incorrect interpretation of weak positive test lines and use of tie-breaker algorithms, can leave a false-positive diagnosis undetected. We propose that heightened CD5+ and early B-lymphocyte response polyclonal cross-reactivity are a major cause of HIV false positivity in certain settings; thus, test performance may vary significantly in different geographical areas and populations. There is an urgent need for policy makers to recognize that HIV rapid diagnostic tests are screening tests and mandate confirmatory testing before reporting an HIV-positive result. In addition, weak positive results should not be recognized as valid except in the screening of blood donors.
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            Low specificities of HIV diagnostic tests caused by Trypanosoma brucei gambiense sleeping sickness.

            The accuracy of diagnostic tests for HIV in patients with tropical infections is poorly documented. Human African trypanosomiasis (HAT) is characterized by a polyclonal B-cell activation, constituting a risk for false-positive reactions to diagnostic tests, including HIV tests. A retrospective study of the accuracy of HIV diagnostic tests was performed with 360 human African HAT patients infected with Trypanosoma brucei gambiense before treatment and 163 T. b. gambiense-infected patients 2 years after successful treatment in Mbuji Mayi, East Kasai, Democratic Republic of the Congo. The sensitivities, specificities, and positive predictive values (PPVs) of individual tests and algorithms consisting of 3 rapid tests were determined. The sensitivity of all tests was 100% (11/11). The low specificity (96.3%, 335/348) and PPV (45.8%, 11/24) of a classical seroconfirmation strategy (Vironostika enzyme-linked immunosorbent assay [ELISA] followed by line immunoassay) complicated the determination of HIV status, which had to be determined by PCR. The specificities of the rapid diagnostic tests were 39.1% for Determine (136/348); 85.3 to 92.8% (297/348 to 323/348) for Vikia, ImmunoFlow, DoubleCheck, and Bioline; and 96.6 to 98.3% (336/348 to 342/348) for Uni-Gold, OraQuick, and Stat-Pak. The specificity of Vironostika was 67.5% (235/348). PPVs ranged between 4.9 and 64.7%. Combining 3 different rapid tests resulted in specificities of 98.3 to 100% (342/348 to 348/348) and PPVs of 64.7 to 100% (11/17 to 11/11). For cured HAT patients, specificities were significantly higher for Vironostika, Determine, Uni-Gold, and ImmunoFlow. T. b. gambiense infection decreases the specificities of antibody detection tests for HIV diagnosis. Unless tests have been validated for interference with HAT, HIV diagnosis using classical algorithms in untreated HAT patients should be avoided. Specific, validated combinations of 3 HIV rapid tests can increase specificity.
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              Association of schistosomiasis with false-positive HIV test results in an African adolescent population.

              This study was designed to investigate the factors associated with the high rate of false-positive test results observed with the 4th-generation Murex HIV Ag/Ab Combination EIA (enzyme immunoassay) within an adolescent and young-adult cohort in northwest Tanzania. (4th-generation assays by definition detect both HIV antigen and antibody.) The clinical and sociodemographic factors associated with false-positive HIV results were analyzed for 6,940 Tanzanian adolescents and young adults. A subsample of 284 Murex assay-negative and 240 false-positive serum samples were analyzed for immunological factors, including IgG antibodies to malaria and schistosoma parasites, heterophile antibodies, and rheumatoid factor (RF) titers. Conditional logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs). False-positive HIV test results were associated with evidence of other infections. False positivity was strongly associated with increasing levels of Schistosoma haematobium worm IgG1, with adolescents with optical densities in the top quartile being at the highest risk (adjusted OR=40.7, 95% CI=8.5 to 194.2 compared with the risk for those in the bottom quartile). False positivity was also significantly associated with increasing S. mansoni egg IgG1 titers and RF titers of >or=80 (adjusted OR=8.2, 95% CI=2.8 to 24.3). There was a significant negative association between Murex assay false positivity and the levels of S. mansoni worm IgG1 and IgG2 and Plasmodium falciparum IgG1 and IgG4. In Africa, endemic infections may affect the specificities of immunoassays for HIV infection. Caution should be used when the results of 4th-generation HIV test results are interpreted for African adolescent populations.
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                Author and article information

                Journal
                J Int AIDS Soc
                J Int AIDS Soc
                ZIAS
                zias20
                Journal of the International AIDS Society
                Taylor & Francis
                1758-2652
                2017
                19 June 2017
                : 20
                : 1
                : 22042
                Affiliations
                [ a ] Department of HIV, World Health Organization , Geneva, Switzerland
                [ b ] Department of Essential Medicines and Health Products, World Health Organization , Geneva, Switzerland
                Author notes
                [ § ]Corresponding author: Cheryl C Johnson, Department of HIV, World Health Organization , 20 Avenue Appia, Geneva 1201, Switzerland. Tel: +41 22 791 4335. ( Johnsonc@ 123456who.int )
                Article
                1339404
                10.7448/IAS.20.1.22042
                5515062
                28664683
                bbbe14f2-82c9-4d4e-a89b-8b27a170b1d5
                © 2017 Johnson CC et al; licensee International AIDS Society.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution 3.0 Unported (CC BY 3.0) License ( http://creativecommons.org/licenses/by/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 28 April 2017
                : 2 June 2017
                Page count
                References: 19, Pages: 3
                Categories
                Letter to the Editor
                Letter to the Editor

                Infectious disease & Microbiology
                hiv,diagnostic,test,quality,misdiagnosis,false positive,africa
                Infectious disease & Microbiology
                hiv, diagnostic, test, quality, misdiagnosis, false positive, africa

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