02946nas a2200277 4500000000100000008004100001260003700042653002400079653005700103100001400160700001500174700001400189700001300203700001200216700001500228700001300243700001300256700001200269700001400281245009600295856009900391300001300490490000700503520214400510022001402654 2022 d bPublic Library of Science (PLoS)10aInfectious Diseases10aPublic Health, Environmental and Occupational Health1 aFongwen N1 aHandley BL1 aMartin DL1 aBeiras C1 aDyson L1 aFrimpong M1 aMitjà O1 aAsiedu K1 aMarks M1 aRadolf JD00aDiagnostics to support the eradication of yaws—Development of two target product profiles uhttps://journals.plos.org/plosntds/article/file?id=10.1371/journal.pntd.0010554&type=printable ae00105540 v163 a

Background Yaws is targeted for eradication by 2030, using a strategy based on mass drug administration (MDA) with azithromycin. New diagnostics are needed to aid eradication. Serology is currently the mainstay for yaws diagnosis; however, inaccuracies associated with current serological tests makes it difficult to fully assess the need for and impact of eradication campaigns using these tools. Under the recommendation of the WHO Diagnostic Technical Advisory Group (DTAG) for Neglected Tropical Diseases(NTDs), a working group was assembled and tasked with agreeing on priority use cases for developing target product profiles (TPPs) for new diagnostics tools.

Methodology and principal findings The working group convened three times and established two use cases: identifying a single case of yaws and detecting azithromycin resistance. One subgroup assessed the current diagnostic landscape for yaws and a second subgroup determined the test requirements for both use cases. Draft TPPs were sent out for input from stakeholders and experts. Both TPPs considered the following parameters: product use, design, performance, configuration, cost, access and equity. To identify a single case of yaws, the test should be able to detect an analyte which confirms an active infection with at least 95% sensitivity and 99.9% specificity. The high specificity was deemed important to avoid a high false positive rate which could result in unnecessary continuation or initiation of MDA campaigns. If used in settings where the number of suspected cases is low, further testing could be considered to compensate for imperfect sensitivity and to improve specificity. The test to detect azithromycin resistance should be able to detect known genetic resistance mutations with a minimum sensitivity and specificity of 95%, with the caveat that all patients with suspected treatment failure should be treated as having resistant yaws and offered alternative treatment.

Conclusions The TPPs developed will provide test developers with guidance to ensure that novel diagnostic tests meet identified public health needs.

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