Literature DB >> 28664683

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)".

Cheryl C Johnson1, Anita Sands2, Willy Urassa2, Rachel Baggaley1.   

Abstract

Entities:  

Keywords:  Africa; HIV; diagnostic; false positive; misdiagnosis; quality; test

Mesh:

Year:  2017        PMID: 28664683      PMCID: PMC5515062          DOI: 10.7448/IAS.20.1.22042

Source DB:  PubMed          Journal:  J Int AIDS Soc        ISSN: 1758-2652            Impact factor:   5.396


× No keyword cloud information.
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.
  15 in total

1.  Refrain from telling bad news: patients with leishmaniasis can have false-positive HIV test results.

Authors:  Alejandro Salinas; Miguel Górgolas; Manuel Fernández-Guerrero
Journal:  Clin Infect Dis       Date:  2007-07-01       Impact factor: 9.079

Review 2.  Causes of false-positive HIV rapid diagnostic test results.

Authors:  Derryck Klarkowski; Daniel P O'Brien; Leslie Shanks; Kasha P Singh
Journal:  Expert Rev Anti Infect Ther       Date:  2014-01       Impact factor: 5.091

3.  Low specificities of HIV diagnostic tests caused by Trypanosoma brucei gambiense sleeping sickness.

Authors:  V Lejon; D Mumba Ngoyi; M Ilunga; G Beelaert; I Maes; P Büscher; K Fransen
Journal:  J Clin Microbiol       Date:  2010-06-23       Impact factor: 5.948

4.  Serologic validation of HIV infection in a tropical area.

Authors:  T T Ribeiro; C Brites; E D Moreira; K Siller; N Silva; W D Johnson; R Badaro
Journal:  J Acquir Immune Defic Syndr (1988)       Date:  1993-03

5.  Association of schistosomiasis with false-positive HIV test results in an African adolescent population.

Authors:  Dean B Everett; Kathy J Baisely; Ruth McNerney; Ian Hambleton; Tobias Chirwa; David A Ross; John Changalucha; Deborah Watson-Jones; Helena Helmby; David W Dunne; David Mabey; Richard J Hayes
Journal:  J Clin Microbiol       Date:  2010-02-24       Impact factor: 5.948

6.  Indeterminate and discrepant rapid HIV test results in couples' HIV testing and counselling centres in Africa.

Authors:  Debrah I Boeras; Nicole Luisi; Etienne Karita; Shila McKinney; Tyronza Sharkey; Michelle Keeling; Elwyn Chomba; Colleen Kraft; Kristin Wall; Jean Bizimana; William Kilembe; Amanda Tichacek; Angela M Caliendo; Eric Hunter; Susan Allen
Journal:  J Int AIDS Soc       Date:  2011-04-08       Impact factor: 5.396

7.  Potential for false positive HIV test results with the serial rapid HIV testing algorithm.

Authors:  Steven Baveewo; Moses R Kamya; Harriet Mayanja-Kizza; Robin Fatch; David R Bangsberg; Thomas Coates; Judith A Hahn; Rhoda K Wanyenze
Journal:  BMC Res Notes       Date:  2012-03-19

8.  The implementation and appraisal of a novel confirmatory HIV-1 testing algorithm in the Microbicides Development Programme 301 Trial (MDP301).

Authors:  Ute Jentsch; Precious Lunga; Charles Lacey; Jonathan Weber; Janet Cairns; Gisela Pinheiro; Sarah Joseph; Wendy Stevens; Sheena McCormack
Journal:  PLoS One       Date:  2012-09-11       Impact factor: 3.240

9.  Variation in specificity of HIV rapid diagnostic tests over place and time: an analysis of discordancy data using a Bayesian approach.

Authors:  Derryck Klarkowski; Kathryn Glass; Daniel O'Brien; Kamalini Lokuge; Erwan Piriou; Leslie Shanks
Journal:  PLoS One       Date:  2013-11-25       Impact factor: 3.240

10.  Evaluation of HIV testing algorithms in Ethiopia: the role of the tie-breaker algorithm and weakly reacting test lines in contributing to a high rate of false positive HIV diagnoses.

Authors:  Leslie Shanks; M Ruby Siddiqui; Jarmila Kliescikova; Neil Pearce; Cono Ariti; Libsework Muluneh; Erwan Pirou; Koert Ritmeijer; Johnson Masiga; Almaz Abebe
Journal:  BMC Infect Dis       Date:  2015-02-03       Impact factor: 3.090

View more
  2 in total

1.  Ability to understand and correctly follow HIV self-test kit instructions for use: applying the cognitive interview technique in Malawi and Zambia.

Authors:  Musonda Simwinga; Moses K Kumwenda; Russell J Dacombe; Lusungu Kayira; Agness Muzumara; Cheryl C Johnson; Pitchaya Indravudh; Euphemia L Sibanda; Lot Nyirenda; Karin Hatzold; Elizabeth L Corbett; Helen Ayles; Miriam Taegtmeyer
Journal:  J Int AIDS Soc       Date:  2019-03       Impact factor: 5.396

2.  Optimizing HIV testing services in sub-Saharan Africa: cost and performance of verification testing with HIV self-tests and tests for triage.

Authors:  Jeffrey W Eaton; Fern Terris-Prestholt; Valentina Cambiano; Anita Sands; Rachel C Baggaley; Karin Hatzold; Elizabeth L Corbett; Thoko Kalua; Andreas Jahn; Cheryl C Johnson
Journal:  J Int AIDS Soc       Date:  2019-03       Impact factor: 5.396

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.