<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="1.2" xml:lang="en">
    <front>
        <journal-meta>
            <journal-id journal-id-type="pmc">Gates Open Res</journal-id>
            <journal-title-group>
                <journal-title>Gates Open Research</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2572-4754</issn>
            <publisher>
                <publisher-name>F1000 Research Limited</publisher-name>
                <publisher-loc>London, UK</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.12688/gatesopenres.12815.1</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Research Article</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>The utility of repeat Xpert MTB/RIF testing to diagnose tuberculosis in HIV-positive adults with initial negative result</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: 1 approved, 1 approved with reservations]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Hanifa</surname>
                        <given-names>Yasmeen</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Software</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-1677-0697</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Fielding</surname>
                        <given-names>Katherine L.</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Software</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Chihota</surname>
                        <given-names>Violet N.</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-1444-9266</uri>
                    <xref ref-type="aff" rid="a2">2</xref>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Adonis</surname>
                        <given-names>Lungiswa</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a4">4</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Charalambous</surname>
                        <given-names>Salome</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a2">2</xref>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Foster</surname>
                        <given-names>Nicola</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-4630-6243</uri>
                    <xref ref-type="aff" rid="a5">5</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Karstaedt</surname>
                        <given-names>Alan</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a6">6</xref>
                    <xref ref-type="aff" rid="a7">7</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>McCarthy</surname>
                        <given-names>Kerrigan</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Nicol</surname>
                        <given-names>Mark P.</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a8">8</xref>
                    <xref ref-type="aff" rid="a9">9</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Ndlovu</surname>
                        <given-names>Nontobeko T.</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Sinanovic</surname>
                        <given-names>Edina</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a5">5</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Sahid</surname>
                        <given-names>Faieza</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a6">6</xref>
                    <xref ref-type="aff" rid="a7">7</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Stevens</surname>
                        <given-names>Wendy</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a9">9</xref>
                    <xref ref-type="aff" rid="a10">10</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Vassall</surname>
                        <given-names>Anna</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Churchyard</surname>
                        <given-names>Gavin J.</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a2">2</xref>
                    <xref ref-type="aff" rid="a3">3</xref>
                    <xref ref-type="aff" rid="a11">11</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Grant</surname>
                        <given-names>Alison D.</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Funding Acquisition</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-2437-5195</uri>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a3">3</xref>
                    <xref ref-type="aff" rid="a12">12</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>TB Centre, London School of Hygiene &amp; Tropical Medicine, London, UK</aff>
                <aff id="a2">
                    <label>2</label>The Aurum Institute, Johannesburg, South Africa</aff>
                <aff id="a3">
                    <label>3</label>School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa</aff>
                <aff id="a4">
                    <label>4</label>Mamelodi Hospital, Pretoria, South Africa</aff>
                <aff id="a5">
                    <label>5</label>Health Economics Unit, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa</aff>
                <aff id="a6">
                    <label>6</label>Department of Medicine, Chris Hani Baragwanath Hospital, Johannesburg, South Africa</aff>
                <aff id="a7">
                    <label>7</label>University of the Witwatersrand, Johannesburg, South Africa</aff>
                <aff id="a8">
                    <label>8</label>Division of Medical Microbiology, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa</aff>
                <aff id="a9">
                    <label>9</label>National Health Laboratory Service, Johannesburg, South Africa</aff>
                <aff id="a10">
                    <label>10</label>Department of Molecular Medicine and Haematology, School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa</aff>
                <aff id="a11">
                    <label>11</label>Advancing Care and Treatment for TB/HIV, South African Medical Research Council Collaborating Centre for HIV and TB, Johannesburg, South Africa</aff>
                <aff id="a12">
                    <label>12</label>Africa Health Research Institute, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:yhanifa@hotmail.com">yhanifa@hotmail.com</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>26</day>
                <month>4</month>
                <year>2018</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2018</year>
            </pub-date>
            <volume>2</volume>
            <elocation-id>22</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>23</day>
                    <month>4</month>
                    <year>2018</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2018 Hanifa Y et al.</copyright-statement>
                <copyright-year>2018</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <self-uri content-type="pdf" xlink:href="https://gatesopenresearch.org/articles/2-22/pdf"/>
            <abstract>
                <p>
                    <bold>Background:</bold> Amongst HIV-positive adults in South Africa with initial negative Xpert results, we compared the yield from repeating Xpert MTB/RIF (&#x201c;Xpert&#x201d;) on sputum to guideline-recommended investigation for tuberculosis (TB).</p>
                <p>
                    <bold>Methods:</bold> A systematic sample of adults attending for HIV care were enrolled in a cohort exploring TB investigation pathways. This substudy was restricted to those at highest risk of TB (CD4&lt;200 cells/mm
                    <sup>3</sup> or unknown) who had a negative initial Xpert result.</p>
                <p>At attendance for the Xpert result, a repeat sputum sample was stored, and further investigations facilitated per national guidelines. Participants were reviewed monthly, with reinvestigation if indicated, for at least three months, when sputum and blood were cultured for mycobacteria, and the stored sputum tested using Xpert. We defined TB as &#x201c;confirmed&#x201d; if Xpert, line probe assay or 
                    <italic toggle="yes">Mycobacterium tuberculosis</italic> culture within six months of enrolment were positive, and &#x201c;clinical&#x201d; if TB treatment was started without microbiological confirmation.</p>
                <p>
                    <bold>Results:</bold> Amongst 227 participants with an initial negative Xpert result (63% female, median age 37 years, median CD4 count 100 cells/mm
                    <sup>3</sup>), 28 (12%) participants had TB diagnosed during study follow-up (16 confirmed, 12 clinical); stored sputum tested positive on Xpert in 5/227 (2%). Amongst 27 participants who started TB treatment, the basis was bacteriological confirmation 11/27 (41%); compatible imaging 11/27 (41%); compatible symptoms 2/27 (7%); and unknown 3/27 (11%).</p>
                <p>
                    <bold>Conclusions:</bold> Amongst HIV-positive individuals at high risk of active TB with a negative Xpert result, further investigation using appropriate diagnostic modalities is more likely to lead to TB treatment than immediately repeating sputum for Xpert. TB diagnostic tests with improved sensitivity are needed.</p>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>Tuberculosis</kwd>
                <kwd>Diagnostic Test</kwd>
                <kwd>HIV infection</kwd>
                <kwd>South Africa</kwd>
            </kwd-group>
            <funding-group>
                <award-group id="fund-1" xlink:href="http://dx.doi.org/10.13039/100000865">
                    <funding-source>Gates Foundation</funding-source>
                    <award-id>OPP1034523</award-id>
                </award-group>
                <funding-statement>Gates Foundation [OPP1034523].</funding-statement>
                <funding-statement>
                    <italic>The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</italic>
                </funding-statement>
            </funding-group>
        </article-meta>
    </front>
    <body>
        <sec sec-type="intro">
            <title>Introduction</title>
            <p>Since 2011 the World Health Organization (WHO) has recommended Xpert MTB/RIF (Xpert; Cepheid, Sunnyvale, CA) as the initial diagnostic test for individuals being investigated for HIV-associated tuberculosis (TB)
                <sup>
                    <xref ref-type="bibr" rid="ref-1">1</xref>
                </sup>. TB diagnosis in people living with HIV (PLHIV) is complicated by the high proportion who are smear-negative and/or have extrapulmonary disease
                <sup>
                    <xref ref-type="bibr" rid="ref-2">2</xref>
                </sup>. Although Xpert has superior sensitivity to sputum microscopy, it is less sensitive than culture, with a pooled sensitivity of 61% for smear-negative, culture-positive TB among PLHIV
                <sup>
                    <xref ref-type="bibr" rid="ref-3">3</xref>
                </sup>.</p>
            <p>South Africa replaced smear microscopy with Xpert starting in 2011, for all individuals with symptoms suggesting TB
                <sup>
                    <xref ref-type="bibr" rid="ref-4">4</xref>
                </sup>. Further evaluation of those who are HIV-positive and Xpert-negative comprises clinical reassessment, chest radiograph if available, sputum for mycobacterial culture, and treatment with antibiotic if clinically indicated
                <sup>
                    <xref ref-type="bibr" rid="ref-4">4</xref>
                </sup>. In a South African study of 394 patients investigated for TB (irrespective of presence of symptoms) prior to antiretroviral therapy (ART) initiation, the sensitivity of Xpert for smear-negative, culture-positive TB increased from 43% to 62% when a second sample collected at the first visit was tested
                <sup>
                    <xref ref-type="bibr" rid="ref-5">5</xref>
                </sup>. Mathematical modelling using a decision model from South Africa
                <sup>
                    <xref ref-type="bibr" rid="ref-6">6</xref>
</sup> suggested that replacing sputum culture with the cheaper option of a second Xpert would reduce loss to follow-up so 1% more patients would start TB treatment
                <sup>
                    <xref ref-type="bibr" rid="ref-7">7</xref>
                </sup>, and save an estimated US$17.4 million per year
                <sup>
                    <xref ref-type="bibr" rid="ref-7">7</xref>
                </sup>. This model assumed, based on limited data, the same sensitivity for the second Xpert test as for the first
                <sup>
                    <xref ref-type="bibr" rid="ref-7">7</xref>
                </sup>, guidelines would be correctly followed
                <sup>
                    <xref ref-type="bibr" rid="ref-7">7</xref>
                </sup>, and only 1% of those with TB symptoms start TB treatment based on a clinical diagnosis
                <sup>
                    <xref ref-type="bibr" rid="ref-6">6</xref>
                </sup>. The strategy of sending a repeat Xpert for HIV-positive individuals whose initial Xpert result is negative has not been evaluated empirically.</p>
            <p>The aim of our study was, amongst HIV-positive adults being investigated for TB whose initial Xpert result is negative, to describe the diagnostic yield from an immediate repeat sputum tested with Xpert, compared to sequential further investigation guided by South African recommendations, reflecting pragmatic clinical practice.</p>
        </sec>
        <sec sec-type="methods">
            <title>Methods</title>
            <p>This &#x201c;repeat Xpert&#x201d; substudy was part of &#x201c;Xpert for people attending HIV/AIDS care: test or review?&#x201d; (XPHACTOR), a prospective cohort study evaluating a risk-based algorithm to prioritise Xpert testing amongst adults attending for routine HIV care in South Africa
                <sup>
                    <xref ref-type="bibr" rid="ref-8">8</xref>
                </sup>.</p>
            <sec>
                <title>XPHACTOR study population, recruitment and procedures</title>
                <p>XPHACTOR study flow, procedures and algorithm are described in detail in 

                    <xref ref-type="other" rid="SF1">Supplementary File 1</xref>. In summary, we enrolled a systematic sample of adults (aged &#x2265;18 years) attending four HIV clinics in Gauteng province, irrespective of presence of symptoms suggestive of TB, in the XPHACTOR study. Patients taking anti-tuberculosis treatment within the previous three months were excluded. Patients were enrolled into three groups: &#x201c;on ART&#x201d; (ART-experienced); &#x201c;pre-ART&#x201d; (in HIV care but not taking ART); and &#x201c;HIV Testing and Counselling (HTC)&#x201d; (newly-diagnosed HIV-positive). At the time of the study, ART eligibility comprised CD4 &#x2264;350 cells/mm
                    <sup>3</sup> or WHO clinical stage &#x2265;3. Research staff screened participants for TB at monthly intervals to three months, using a standardised questionnaire which incorporated the WHO symptom screen (any one of current self-reported cough, fever, weight loss or night sweats, hereafter the WHO tool). A spot sputum sample was collected for Xpert for individuals at 
                    <italic toggle="yes">a priori</italic> highest risk of active TB according to the study algorithm, which prioritised testing for those with any of: current cough, fever &#x2265; 3 weeks, night sweats &#x2265; 4 weeks, BMI &lt;18.5 kg/m
                    <sup>2</sup>, CD4 &lt;100 cells/mm
                    <sup>3</sup>, or weight loss &#x2265;10%; and at enrolment from all in HTC group or pre-ART with CD4 &lt;200 cells/mm
                    <sup>3</sup> (
                    <xref ref-type="other" rid="SF1">Supplementary File 1</xref>). At enrolment all participants with CD4 &lt;200 cells/mm
                    <sup>3</sup> were asked to provide a spot urine sample, which was stored at 2&#x2013;8&#x00b0;C prior to freezing at -80&#x00b0;C within 24 hours of collection. At the end of the study samples were thawed to ambient temperature and tested with lateral-flow LAM assay (LF-LAM; Determine TB-LAM; Alere, USA), and graded using the pre-January 2014 manufacturer&#x2019;s reference card comprising five grades of colour intensity with the least intense band assigned grade 1, absence of a band graded negative, and absence of control band deemed a failed test.</p>
                <p>At enrolment and follow-up visits, participants who submitted an Xpert sample were reviewed within one week, and if Xpert-positive, TB treatment was initiated. If Xpert was negative, research staff repeated WHO symptom screen and facilitated the Xpert-negative algorithm for all who were WHO tool positive, which comprised chest radiograph, spot sputum for TB culture, and/or antibiotic trial as clinically appropriate. The Xpert-negative algorithm was also facilitated, because of 
                    <italic toggle="yes">a priori</italic> high risk of active TB, for all pre-ART participants with CD4&lt;200x10
                    <sup>6</sup>/l who submitted sputum for immediate Xpert at enrolment to XPHACTOR.</p>
                <p>At the three-month visit all participants had sputum and blood cultured for mycobacteria (Bactec MGIT 960 and 9240 systems). We allowed a broad window period around the three-month XPHACTOR main study final visit, until around six months, to maximise follow-up.</p>
            </sec>
            <sec>
                <title>Repeat Xpert substudy procedures</title>
                <p>XPHACTOR participants who were Xpert-negative with i) CD4 count&lt;200 cells/mm
                    <sup>3</sup> , or ii) new HIV diagnosis (HTC group) were eligible for this substudy, irrespective of presence of WHO tool symptoms; these restrictions aimed to minimise unnecessary testing of individuals at lower risk of active TB. If a participant had more than one negative Xpert result during follow-up, only the first episode was included.</p>
                <p>At attendance for Xpert result review, eligible participants were asked for an additional spot sputum sample for &#x201c;repeat&#x201d; Xpert, which was frozen at -80&#x00b0;C within 24 hours of collection. All stored samples were thawed and tested with Xpert at the end of the study to evaluate the diagnostic yield that could have been achieved if an immediate repeat Xpert had been sent at the Xpert result review visit. We decided 
                    <italic toggle="yes">a priori</italic> not to induce sputum for this substudy in order to reflect what would be achievable in routine practice.</p>
            </sec>
            <sec>
                <title>Definitions</title>
                <p>
                    <bold>
                        <italic toggle="yes">Repeat Xpert substudy entry and exit dates.</italic>
                    </bold> Repeat Xpert substudy cohort entry date was defined as the date that the Xpert result review was conducted and sputum was collected for storage. Cohort exit date was defined as the last XPHACTOR study visit date.</p>
                <p>
                    <bold>
                        <italic toggle="yes">TB case definitions.</italic>
                    </bold> &#x201c;Confirmed&#x201d; TB was defined as a positive result on i) Xpert (on sputum sample) or ii) line probe assay (LPA) performed on smear-positive or cultured isolate (GenoType MTBDR
                    <italic toggle="yes">plus</italic>, Hain Lifesciences) or iii) 
                    <italic toggle="yes">Mycobacterium tuberculosis (Mtb)</italic> culture, from any sample (including stored sputum and those requested by health care providers) collected within six months of XPHACTOR enrolment. Clinical TB was defined as TB treatment started within six months of enrolment ascertained from clinical records, self or family report, or reported in the context of a separate verbal autopsy sub-study, in the absence of microbiological confirmation. Six months was chosen because TB disease evolves gradually;
                    <sup>
                        <xref ref-type="bibr" rid="ref-9">9</xref>,
                        <xref ref-type="bibr" rid="ref-10">10</xref>
                    </sup> data from Zimbabwe estimated the mean duration of smear-positivity prior to TB diagnosis amongst HIV-positive adults at 18&#x2013;33 weeks
                    <sup>
                        <xref ref-type="bibr" rid="ref-11">11</xref>
                    </sup>.</p>
                <p>&#x201c;Not TB&#x201d; was defined as absence of criteria for confirmed or clinical TB, and alive at least 3 months (the minimum follow-up period) after enrolment. Participants who did not fulfil the case definitions for TB or &#x201c;not TB&#x201d; were deemed to have unclassifiable outcome and excluded from analyses.</p>
                <p>Pulmonary and extrapulmonary TB were classified in accordance with WHO definitions
                    <sup>
                        <xref ref-type="bibr" rid="ref-12">12</xref>
                    </sup>.
</p>
                <p>
                    <bold>
                        <italic toggle="yes">Radiological definitions.</italic>
                    </bold> &#x201c;
                    <underline>Probable radiological TB</underline>&#x201d; was defined as presence of any of cavitation, predominantly upper lobe infiltrates, pleural or pericardial effusion, or clear miliary picture on chest radiograph. &#x201c;
                    <underline>Possible radiological TB</underline>&#x201d; was defined as presence of any of lymphadenopathy (hilar or mediastinal), pulmonary nodules or other infiltrates. Participants with &#x201c;probable&#x201d; or &#x201c;possible&#x201d; radiological TB features, but without bacteriological confirmation, who started TB treatment within six months of substudy enrolment were assigned as having &#x201c;clinical&#x201d; TB.</p>
            </sec>
            <sec>
                <title>Statistical methods</title>
                <p>Data were analysed using Stata 14 (Stata Corporation, College Station, TX, USA).</p>
                <p>We did not undertake formal sample size calculation for this substudy as the sample size was all those eligible from the parent study.</p>
                <p>We compared TB diagnoses made by Xpert using the sample stored at substudy enrolment, with all TB diagnoses fulfilling our case definitions during follow-up. We chose this pragmatic comparison because in real life, individuals with smear or Xpert-negative TB have sequential investigation, rather than all tests performed simultaneously. Our research staff facilitated the Xpert-negative algorithm when participants attended for Xpert result review, and therefore investigations are likely to have been initiated faster than in a routine setting. The proportion of TB diagnoses made by Xpert using the stored sputum was compared with TB diagnoses made during follow-up using McNemar&#x2019;s test. 
                    <bold/>
</p>
                <p>In a sensitivity analysis restricted to participants who had at least one component of the Xpert-negative algorithm (chest radiograph, sputum for TB culture, or antibiotic trial) within a two-week window of providing the stored repeat Xpert sample, we compared the proportion of TB diagnoses made by Xpert using the stored sputum with TB diagnoses made by the Xpert-negative algorithm using McNemar&#x2019;s test.</p>
                <p>We calculated sensitivity and specificity with 95% confidence intervals (CI) for LF-LAM using a cut-off of grade =2+ to define LAM-positive against a diagnostic reference standard of confirmed plus clinical TB. We used the grade 2 cut-off as this corresponds with the grade 1 band in the current LF-LAM reference card, which is deemed a positive result in accordance with manufacturer&#x2019;s recommendations
                    <sup>
                        <xref ref-type="bibr" rid="ref-13">13</xref>
                    </sup>.
</p>
            </sec>
            <sec>
                <title>Ethical approval</title>
                <p>The study was approved by the ethics committees at the University of the Witwatersrand (approval # M120343), University of Cape Town (approval # 106/2012), and the London School of Hygiene &amp; Tropical Medicine (approval # 6165). All consenting participants gave written consent or, witnessed verbal consent if unable to read or write. All ethics committees approved the consent form. Principles expressed in the Declaration of Helsinki were followed in the conduct of this research.</p>
            </sec>
        </sec>
        <sec sec-type="results">
            <title>Results</title>
            <p>Between September 2012 and March 2014, 235/410 (57.3%) potentially eligible participants were able to provide a sputum sample, stored for testing at study completion with Xpert (
                <xref ref-type="fig" rid="f1">Figure 1</xref>). Eight participants with &#x201c;unclassifiable&#x201d; outcome were excluded, leaving 227 participants for analysis.</p>
            <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                <label>Figure 1. </label>
                <caption>
                    <title>Flow chart of repeat Xpert substudy participants.</title>
                    <p>
                        <sup>1</sup> 15/175 who were excluded because they did not produce sputum fulfilled case definitions for TB (clinical TB [9/15], confirmed TB [6/15]) and a further 3/175 had unclassifiable outcome 
                        <sup>2</sup> For 22/235 participants who provided more than one &#x201c;repeat&#x201d; sample (all Xpert-negative) only the result of the first sample and data from the associated review visit were used in the analysis 
                        <sup>3</sup> All had negative &#x201c;repeat&#x201d; Xpert.</p>
                </caption>
                <graphic orientation="portrait" position="float" xlink:href="https://gatesopenresearch-files.f1000.com/manuscripts/13882/b58b2c28-237d-4647-a698-455a0d744eaf_figure1.gif"/>
            </fig>
            <sec>
                <title>Participant characteristics</title>
                <p>Characteristics of the 227 substudy participants and comparison with the 175 excluded because they were unable to produce sputum are presented in 
                    <xref ref-type="table" rid="T1">Table 1</xref>. The majority of participants were female (63%), median age was 37 years (interquartile range [IQR] 31,44), median CD4 count was 100 cells/mm
                    <sup>3</sup> (IQR 51,147), and 26% had previously been treated for TB. 78/227 (34%) of participants reported a TB symptom, most often cough (23%, 52/227) or weight loss (19%, 43/227) (
                    <xref ref-type="table" rid="T1">Table 1</xref>). Amongst the remaining 149/227 (66%) of participants who reported no WHO-tool symptoms at attendance for Xpert result, sputum was collected for repeat Xpert due to 
                    <italic toggle="yes">a priori</italic> high risk of active TB because newly-diagnosed HIV-positive (42); pre-ART with CD4 count &lt;200 cells/mm
                    <sup>3</sup> (42); CD4 count &lt;100 cells/mm
                    <sup>3</sup> (33); on ART with CD4 count 100&#x2013;199 cells/mm
                    <sup>3</sup> (17); BMI &lt;18.5 kg/m
                    <sup>2</sup> or weight loss &#x2265;10%, (15). Enrolment to the repeat Xpert study was at median 7 days (IQR 7,8) from collection of the initial sputum sample for Xpert.</p>
                <table-wrap id="T1" orientation="portrait" position="anchor">
                    <label>Table 1. </label>
                    <caption>
                        <title>Characteristics of substudy participants (n=227) vs. eligible non-productive of sputum (n=175).</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="2" valign="top">Characteristic</th>
                                <th align="center" colspan="1" rowspan="1">Study participants
                                    <break/>(N=227)</th>
                                <th align="center" colspan="1" rowspan="1">Did not provide sputum
                                    <break/>for &#x201c;repeat&#x201d; Xpert  (N=175)</th>
                            </tr>
                            <tr>
                                <th align="center" colspan="1" rowspan="1">N (%)</th>
                                <th align="center" colspan="1" rowspan="1">N (%)</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <th align="left" colspan="3" rowspan="1">Demographics</th>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1">Age, years - Median (IQR)</td>
                                <td colspan="1" rowspan="1">37 (31-44) (N=226)</td>
                                <td colspan="1" rowspan="1">36 (30-43)</td>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1">Female</td>
                                <td colspan="1" rowspan="1">144 (63.4%)</td>
                                <td colspan="1" rowspan="1">109 (62.3%)</td>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1">Black African</td>
                                <td colspan="1" rowspan="1">222 (97.8%)</td>
                                <td colspan="1" rowspan="1">175 (100%)</td>
                            </tr>
                            <tr>
                                <th align="left" colspan="3" rowspan="1">Participant category</th>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1">On ART</td>
                                <td colspan="1" rowspan="1">99 (43.6%)</td>
                                <td colspan="1" rowspan="1">67 (38.3%)</td>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1">Pre-ART</td>
                                <td colspan="1" rowspan="1">75 (33.0%)</td>
                                <td colspan="1" rowspan="1">60 (34.3%)</td>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1">HTC</td>
                                <td colspan="1" rowspan="1">53 (23.4%)</td>
                                <td colspan="1" rowspan="1">48 (27.4%)</td>
                            </tr>
                            <tr>
                                <th align="left" colspan="3" rowspan="1">HIV/TB history</th>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1">Previous TB treatment</td>
                                <td colspan="1" rowspan="1">59 (26.0%)</td>
                                <td colspan="1" rowspan="1">37 (21.1%)</td>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1">Ever had IPT</td>
                                <td colspan="1" rowspan="1">18 (7.9%)</td>
                                <td colspan="1" rowspan="1">6 (3.4%)</td>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1">Ever had CPT</td>
                                <td colspan="1" rowspan="1">122 (53.7%)</td>
                                <td colspan="1" rowspan="1">84 (48.0%)</td>
                            </tr>
                            <tr>
                                <th align="left" colspan="3" rowspan="1">BMI/CD4 when immediate Xpert was requested</th>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1">BMI, kg/m
                                    <sup>2</sup>  - Median (IQR)</td>
                                <td colspan="1" rowspan="1">23.3 (20.1-27.4) (N=226)</td>
                                <td colspan="1" rowspan="1">23.4 (20.1-28.1)</td>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1">CD4
                                    <sup>
                                        <xref ref-type="other" rid="fn1">1</xref>
                                    </sup>, cells/mm
                                    <sup>4</sup>  - Median (IQR)</td>
                                <td colspan="1" rowspan="1">100 (51-147) (N=188)</td>
                                <td colspan="1" rowspan="1">113 (56-169) (N=148)</td>
                            </tr>
                            <tr>
                                <th align="left" colspan="3" rowspan="1">WHO tool symptoms when sample for &#x201c;repeat&#x201d; Xpert was requested</th>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1">WHO-positive</td>
                                <td colspan="1" rowspan="1">78 (34.4%)</td>
                                <td colspan="1" rowspan="1">44 (25.1%)</td>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1">Cough</td>
                                <td colspan="1" rowspan="1">52 (22.9%)</td>
                                <td colspan="1" rowspan="1">23 (13.1%)</td>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1">Weight loss</td>
                                <td colspan="1" rowspan="1">43 (18.9%)</td>
                                <td colspan="1" rowspan="1">32 (18.3%)</td>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1">Night sweats</td>
                                <td colspan="1" rowspan="1">16 (7.0%)</td>
                                <td colspan="1" rowspan="1">9 (5.1%)</td>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1">Fever</td>
                                <td colspan="1" rowspan="1">7 (3.1%)</td>
                                <td colspan="1" rowspan="1">2 (1.1%)</td>
                            </tr>
                            <tr>
                                <th align="left" colspan="3" rowspan="1">TB diagnoses over 6 months follow-up</th>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1">Total</td>
                                <td colspan="1" rowspan="1">28 (12.3%)</td>
                                <td colspan="1" rowspan="1">18 (10.3%)</td>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1">Confirmed TB</td>
                                <td colspan="1" rowspan="1">16 (7.1%)</td>
                                <td colspan="1" rowspan="1">7 (4.0%)</td>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1">Clinical TB</td>
                                <td colspan="1" rowspan="1">12 (5.3%)</td>
                                <td colspan="1" rowspan="1">11 (6.3%)</td>
                            </tr>
                            <tr>
                                <th align="left" colspan="3" rowspan="1">Follow-up</th>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1" valign="top">
                                    <bold>Time from XPHACTOR</bold>
                                    <break/>
                                    <bold>enrolment to 3-month&#x201d; study</bold>
                                    <break/>
                                    <bold>visit, days</bold>  - Median (IQR)</td>
                                <td colspan="1" rowspan="1" valign="top">84 (84,95) (N=220)</td>
                                <td colspan="1" rowspan="1" valign="top">86 (84,106) (N=169)</td>
                            </tr>
                            <tr>
                                <th align="left" colspan="3" rowspan="1">Accuracy of LF-LAM for confirmed and clinical TB combined using Grade 2 cut-off</th>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1" valign="top">Prevalence of positive LAM,
                                    <break/>n/N (%)</td>
                                <td colspan="1" rowspan="1" valign="top">2/142 (1.4%)</td>
                                <td colspan="1" rowspan="1" valign="top">1/100 (1.0%)</td>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1">Sensitivity n/N</td>
                                <td colspan="1" rowspan="1">0/18</td>
                                <td colspan="1" rowspan="1">0/9</td>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1">Specificity n/N
                                    <break/>% (95% CI)</td>
                                <td colspan="1" rowspan="1">122/124
                                    <break/>98.4% (94.3, 99.8)</td>
                                <td colspan="1" rowspan="1">90/91
                                    <break/>98.9% (94.0, &gt;99.9)</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <fn>
                            <p>IPT= Isoniazid preventive therapy; BMI = body mass index; CPT= Cotrimoxazole preventive therapy; HTC= Enrolled from HIV testing and counselling service; WHO positive = self-report of any of current cough, fever, night sweats or unintentional weight loss.</p>
                            <p id="fn1">
                                <sup>1</sup> Most recent clinic CD4 cell count when participant attended for Xpert result review. CD4 available for 188/227 participants enrolled (99/99 on ART, 75/75 pre-ART, 14/54 HTC); and 148/175 who did not provide sputum for repeat Xpert&#x201d; (67/67 on ART, 60/60 pre-ART, 21/48 HTC)</p>
                        </fn>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
            <sec>
                <title>Tuberculosis diagnoses</title>
                <p>12% (28/227) of substudy participants fulfilled case definitions for TB, of which 16 were confirmed and 12 were clinical (
                    <xref ref-type="table" rid="T2">Table 2</xref>). One participant died before TB treatment could be commenced, and for one, the treatment start date was unknown. The remaining 26 started TB treatment at a median 49 days (IQR 0,108) after substudy entry. The range for time from substudy entry to earliest of positive TB investigation (including chest radiograph) or date TB treatment was started (amongst all fulfilling our case definitions for TB) was 0&#x2013;118 days. 24% (19/78) participants who were WHO tool positive when the sample for stored repeat Xpert was collected fulfilled TB case definitions (confirmed 11, clinical 8).</p>
                <table-wrap id="T2" orientation="portrait" position="anchor">
                    <label>Table 2. </label>
                    <caption>
                        <title>Basis for TB diagnoses in repeat Xpert substudy (N=28).</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Characteristic</th>
                                <th align="center" colspan="1" rowspan="1" valign="top">Participants
                                    <break/>diagnosed
                                    <break/>with TB N=28
                                    <break/>N (%)</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <th align="left" colspan="2" rowspan="1">Case definition</th>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1">
                                    <bold>&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;Bacteriologically confirmed TB:</bold>
                                </td>
                                <td colspan="1" rowspan="1">
                                    <bold>16 (57%)</bold>
                                </td>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1">Sputum Xpert positive
                                    <sup>
                                        <xref ref-type="other" rid="fn2">1</xref>
                                    </sup>
                                </td>
                                <td colspan="1" rowspan="1">&#x00a0;&#x00a0;&#x00a0;&#x00a0;6 (21%)</td>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1">Sputum 
                                    <italic toggle="yes">Mtb</italic>culture positive</td>
                                <td colspan="1" rowspan="1">&#x00a0;&#x00a0;&#x00a0;&#x00a0;4 (14%)</td>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1">Sputum both Xpert and 
                                    <italic toggle="yes">Mtb</italic> culture-positive</td>
                                <td colspan="1" rowspan="1">&#x00a0;&#x00a0;&#x00a0;&#x00a0;4 (14%)</td>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1">Blood 
                                    <italic toggle="yes">Mtb</italic> culture-positive</td>
                                <td colspan="1" rowspan="1">&#x00a0;&#x00a0;&#x00a0;&#x00a0;1 (4%)</td>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1">Pleural fluid cultured isolate LPA-positive</td>
                                <td colspan="1" rowspan="1">&#x00a0;&#x00a0;&#x00a0;&#x00a0;1 (4%)</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1">
                                    <bold>&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;Clinical TB:</bold>
                                </td>
                                <td colspan="1" rowspan="1">
                                    <bold>12 (43%)</bold>
                                </td>
                            </tr>
                            <tr>
                                <th align="left" colspan="2" rowspan="1">Site of TB</th>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1">Pulmonary TB only</td>
                                <td colspan="1" rowspan="1">18 (64%)</td>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1">Extrapulmonary TB only
                                    <sup>
                                        <xref ref-type="other" rid="fn3">2</xref>
                                    </sup>
                                </td>
                                <td colspan="1" rowspan="1">5 (18%)</td>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1">Both pulmonary and extrapulmonary TB
                                    <sup>
                                        <xref ref-type="other" rid="fn4">3</xref>
                                    </sup>
                                </td>
                                <td colspan="1" rowspan="1">2 (7%)</td>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1">Not recorded</td>
                                <td colspan="1" rowspan="1">3 (11%)</td>
                            </tr>
                            <tr>
                                <th align="left" colspan="1" rowspan="1">TB treatment commenced</th>
                                <th align="left" colspan="1" rowspan="1">27 (96%)</th>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1">
                                    <bold>&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;Basis upon which TB treatment commenced:</bold>
                                </td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1">Bacteriologically-confirmed 
                                    <italic toggle="yes">Mtb</italic>
                                    <sup>
                                        <xref ref-type="other" rid="fn5">4</xref>
                                    </sup>
                                </td>
                                <td colspan="1" rowspan="1">11 (41%)</td>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1">Compatible imaging
                                    <sup>
                                        <xref ref-type="other" rid="fn6">5</xref>
                                    </sup>
                                </td>
                                <td colspan="1" rowspan="1">11 (41%)</td>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1" valign="top">Compatible symptoms and positive sputum mycobacterial culture
                                    <break/>(later identified as NTM)
                                    <sup>
                                        <xref ref-type="other" rid="fn7">6</xref>
                                    </sup>
                                </td>
                                <td colspan="1" rowspan="1" valign="top">2 (7%)</td>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1">Not known
                                    <sup>
                                        <xref ref-type="other" rid="fn8">7</xref>
                                    </sup>
                                </td>
                                <td colspan="1" rowspan="1">3 (11%)</td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1" valign="top">
                                    <bold>&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;Time from substudy entry to treatment start (n=26), days -</bold>
                                    <break/>&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;Median (IQR)</td>
                                <td colspan="1" rowspan="1" valign="top">49 (0, 108)</td>
                            </tr>
                            <tr>
                                <th align="left" colspan="2" rowspan="1">Repeat Xpert on stored sputum</th>
                            </tr>
                            <tr>
                                <td align="right" colspan="1" rowspan="1">
                                    <bold>Xpert positive</bold>
                                </td>
                                <td colspan="1" rowspan="1">5 (18%)</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <fn>
                            <p>CXR = chest radiograph; LPA = line probe assay; NTM = Non tuberculous mycobacteria; USS = ultrasound scan</p>
                            <p id="fn2">
                                <sup>1</sup> Includes two participants for whom bacteriological confirmation was provided by stored sputum which was Xpert-positive; one of whom started treatment based on this result, and the other had already started TB treatment because of compatible chest radiograph (miliary TB).</p>
                            <p id="fn3">
                                <sup>2 </sup> Pleural effusion (3); positive mycobacterial blood culture (1); pericardial effusion (1)</p>
                            <p id="fn4">
                                <sup>3</sup> Compatible abdominal ultrasound and sputum 
                                <italic toggle="yes">Mtb</italic> culture-positive (1), pleural effusion and sputum Xpert positive (1)</p>
                            <p id="fn5">
                                <sup>4 </sup> Sputum Xpert positive (7) of which one was the sample stored for repeat Xpert and samples were collected at median 97 days (IQR 79, 118) after substudy entry; sputum 
                                <italic toggle="yes">Mtb</italic> culture-positive (3); blood 
                                <italic toggle="yes">Mtb</italic> culture-positive (1)</p>
                            <p id="fn6">
                                <sup>5</sup> Compatible CXR (9) of which four subsequently bacteriologically confirmed, compatible USS (2)</p>
                            <p>

                                <list list-type="bullet">
                                    <list-item>
                                        <p>Case definitions fulfilled for CXR reporting:</p>
                                        <list list-type="bullet">
                                            <list-item>
                                                <p>7 Probable radiological TB (pleural effusion [4], miliary TB [1], cavitation and infiltrates [2]).</p>
                                            </list-item>
                                            <list-item>
                                                <p>2 Possible radiological TB</p>
                                            </list-item>
                                        </list>
                                    </list-item>
                                    <list-item>
                                        <p>USS: Pericardial effusion (1); abdominal TB with subsequent sputum 
                                            <italic toggle="yes">Mtb</italic> culture-positive (1)</p>
                                    </list-item>
                                </list>
</p>
                            <p>One participant categorised as probable TB had bilateral pleural effusions and cardiomegaly and was reported at verbal autopsy as having started TB treatment based on CXR</p>
                            <p id="fn7">
                                <sup>6</sup>Started on basis of compatible symptoms and positive sputum culture later identified as 
                                <italic toggle="yes">M. avium</italic> (1) and 
                                <italic toggle="yes">M</italic>. 
                                <italic toggle="yes">intracellulare</italic> (1); both had improvement in symptoms after treatment was initiated.</p>
                            <p id="fn8">
                                <sup>7</sup>Identified as having started TB treatment at verbal autopsy (2), started by clinic doctor (1)</p>
                        </fn>
                    </table-wrap-foot>
                </table-wrap>
                <p>
                    <bold>
                        <italic toggle="yes">Basis for commencement of TB treatment.</italic>
                    </bold> Eleven participants started treatment based on a bacteriologically-confirmed TB result (Xpert [7]; 
                    <italic toggle="yes">Mtb</italic> isolated from sputum [3] or blood [1]) (
                    <xref ref-type="table" rid="T2">Table 2</xref>).</p>
                <p>Eleven participants started TB treatment because of compatible imaging. Nine had compatible chest radiographs, of whom four were subsequently bacteriologically confirmed (Xpert 2, pleural fluid cultured isolate LPA-positive 1, positive 
                    <italic toggle="yes">Mtb</italic> sputum culture 1). Two participants started treatment based on ultrasound scans, one compatible with abdominal TB (subsequently confirmed by positive 
                    <italic toggle="yes">Mtb</italic> from sputum culture); and the other showing pericardial effusion (
                    <xref ref-type="table" rid="T2">Table 2</xref>).</p>
                <p>Two participants started treatment because of compatible symptoms and positive sputum mycobacterial culture (later identified as non-tuberculous mycobacteria [NTM]) with symptomatic improvement on standard TB treatment. One participant started TB treatment solely based on stored repeat Xpert sample. The basis for starting TB treatment was not clear for the remaining three participants (
                    <xref ref-type="table" rid="T2">Table 2</xref>).</p>
                <p>
                    <bold>
                        <italic toggle="yes">Diagnoses made by repeat Xpert on stored sputum samples.</italic>
                    </bold> The stored sputum sample was positive by Xpert at the end of the study for five participants (sensitivity of repeat Xpert 31.3% [5/16; 95% CI 11.0&#x2013;58.7%] 
                    <italic toggle="yes">vs.</italic> gold standard of confirmed TB and 18% [5/28, 95% CI: 6.1%-36.9%] 
                    <italic toggle="yes">vs.</italic> gold standard of confirmed / clinical TB combined) (
                    <xref ref-type="fig" rid="f2">Figure 2</xref>). In a matched analysis the odds of TB diagnosis was much greater by other modalities during follow-up than by the repeat Xpert, odds ratio 24.0 (95% CI: 3.9&#x2013;986.9; p&lt;0.0001, McNemar&#x2019;s test). Amongst the five participants with positive repeat Xpert, three were in the pre-ART group, and two in the on ART group. We were unable to undertake multivariable analysis to look at independent predictors of positive repeat Xpert on the stored sample because only five were positive.</p>
                <fig fig-type="figure" id="f2" orientation="portrait" position="float">
                    <label>Figure 2. </label>
                    <caption>
                        <title>Number of participants diagnosed with TB by &#x201c;repeat&#x201d; Xpert vs. number diagnosed during follow-up (N=28).</title>
                        <p>CXR = chest radiograph; USS = ultrasound scan 
                            <sup>
                                <bold>1</bold>
                            </sup> CXR features compatible with &#x201c;Probable TB&#x201d; (pleural effusion [4], cavitation and infiltrates [2]); CXR features compatible with &#x201c;Possible TB&#x201d; (2); USS features compatible with TB (Pericardial effusion [1]; abdominal TB [1]) 
                            <sup>2</sup> One participant died before treatment commenced 
                            <sup>3</sup> Two identified as having started TB treatment at verbal autopsy. One had 
                            <italic toggle="yes">M. xenopi</italic> identified in sputum culture prior to commencement of empiric TB treatment. 
                            <sup>4</sup> Started on basis of compatible symptoms and positive sputum culture later identified as 
                            <italic toggle="yes">M. avium</italic> (1) and 
                            <italic toggle="yes">M. intracellulare</italic> (1); both had improvement in symptoms after treatment was initiated.</p>
                    </caption>
                    <graphic orientation="portrait" position="float" xlink:href="https://gatesopenresearch-files.f1000.com/manuscripts/13882/b58b2c28-237d-4647-a698-455a0d744eaf_figure2.gif"/>
                </fig>
                <p>In a sensitivity analysis restricted to 123 participants who had at least one component of the Xpert-negative algorithm within a two-week window of providing the stored repeat Xpert sample, 23 participants fulfilled our TB case definitions (13/23 confirmed, 10/23 clinical). The stored sputum sample was positive by Xpert for four participants (sensitivity of repeat Xpert for confirmed and clinical TB combined 17% [4/23]; for sputum culture-confirmed TB 20% [1/5]). Ten participants started TB treatment because of evaluation by the Xpert-negative algorithm (four confirmed, six clinical), of whom two also had positive stored repeat Xpert. Eleven other participants fulfilled TB case definitions during study follow-up (eight confirmed, three clinical). We did a matched analysis, classifying as &#x201c;not TB&#x201d; for the purpose of this analysis, 11 participants who fulfilled our TB case definitions but were not identified by either the Xpert-negative algorithm or stored repeat Xpert. The odds of TB diagnosis by the Xpert-negative algorithm was greater than by repeat Xpert, but did not attain statistical significance, odds ratio 4.0 (95% CI: 0.8&#x2013;38.7; p=0.11, McNemar&#x2019;s test).</p>
                <p>The participant who started TB treatment solely based on the stored repeat Xpert sample was in the pre-ART group with a CD4 cell count of 113 cells/mm
                    <sup>3</sup> at substudy enrolment, had no previous history of TB treatment, and had a five week history of cough and fever when the initial sputum sample for Xpert was collected. The sputum culture, the only component of the Xpert-negative algorithm arranged at the Xpert review visit, was contaminated. This participant initiated ART on the day of entry to the substudy, was WHO-tool negative at all subsequent study visits, and had negative sputum and blood for mycobacterial culture at the 3-month visit. The remaining four participants with positive stored repeat Xpert sample started TB treatment before the stored sample was processed, based on further evaluation during follow-up: sputum Xpert-positive (2, one with rifampicin resistance); sputum 
                    <italic toggle="yes">Mtb</italic> culture-positive (1); and compatible chest radiograph (1).</p>
            </sec>
            <sec>
                <title>Further evaluation of substudy participants undertaken during substudy follow-up</title>
                <p>

                    <xref ref-type="fig" rid="f3">Figure 3</xref> summarises all evaluations undertaken for TB during substudy follow-up, aside from 3-month visit mycobacterial cultures and Xpert on stored sputum samples. As part of routine care or facilitated by research staff for the Xpert-negative algorithm, 97/227 (43%) had a chest radiograph (38/97 [39%] fulfilled criteria for radiological TB), and 100/227 (44%) had mycobacterial culture on sputum (3/100 [3%] 
                    <italic toggle="yes">Mtb</italic> positive). 34/227 (15%) of participants were prescribed an antibiotic trial at the Xpert result review, and 14/21 (67%) of those reviewed reported resolution of symptoms.</p>
                <fig fig-type="figure" id="f3" orientation="portrait" position="float">
                    <label>Figure 3. </label>
                    <caption>
                        <title>Evaluation of participants undertaken from repeat Xpert substudy entry to 3-month visit.</title>
                        <p>Categories are not mutually exclusive as each participant could undergo &gt;1 mode of evaluation for TB C+ = culture positive; CXR = chest radiograph; ID = final identification; 
                            <italic toggle="yes">MTB = M. tuberculosis</italic>; NTM = non-tuberculous mycobacteria. 
                            <sup>1</sup> Excludes stored sputum samples for repeat Xpert, and sputum and blood samples for mycobacterial culture collected at 3-month visit 
                            <sup>2</sup> As part of routine care or facilitated by research staff for GXP-negative algorithm. 97 participants had 100 CXRs, for those with multiple CXR most recent CXR is reported. 
                            <sup>3</sup> Facilitated by research staff for GXP-negative algorithm 
                            <sup>4</sup> As part of routine care or facilitated by research staff as high priority by XPHACTOR study algorithm. 89 participants had 137 sputum samples tested with Xpert, for those with multiple samples most recent sample reported. 
                            <sup>5</sup> As part of routine care or facilitated by research staff for GXP-negative algorithm. 99 participants had 109 sputum samples processed for mycobacterial culture, for those with multiple samples most recent sample reported. 
                            <sup>6</sup> Reviewed and reported completing at least 5 days of antibiotics</p>
                    </caption>
                    <graphic orientation="portrait" position="float" xlink:href="https://gatesopenresearch-files.f1000.com/manuscripts/13882/b58b2c28-237d-4647-a698-455a0d744eaf_figure3.gif"/>
                </fig>
                <p>89 participants submitted sputum specimens for Xpert as part of routine care or because they fulfilled XPHACTOR algorithm criteria at monthly follow-up visits, for whom 6/89 (7%) were positive. An additional four participants had positive Xpert, of which three were stored sputum samples for repeat Xpert (bacterial confirmation provided solely by stored sample [2], also positive 
                    <italic toggle="yes">Mtb</italic> sputum culture [1]), and one was collected after the 3-month visit (
                    <xref ref-type="table" rid="T2">table 2</xref>).</p>
                <p>The mycobacterial cultures performed routinely at the 3-month visit yielded 
                    <italic toggle="yes">Mtb</italic> isolates in 2% (5/219) of sputum and 0/220 blood samples.</p>
            </sec>
            <sec>
                <title>Performance of urine LAM</title>
                <p>LAM results were available for 142/227 (63%) of study participants, with a positive result (grade 2 cut-off) observed in 2/142 (1%). 18/142 (13%) fulfilled case definitions for TB (clinical and confirmed). The sensitivity of LF-LAM for TB (clinical and confirmed) was 0% and specificity was 98.4% (95% CI 94.3, 99.8). Sensitivity and specificity were similar in those 175 excluded because they were unable to produce sputum (
                    <xref ref-type="table" rid="T1">Table 1</xref>).</p>
            </sec>
        </sec>
        <sec sec-type="discussion">
            <title>Discussion</title>
            <p>Among HIV-positive individuals at high risk of active TB, with a negative sputum Xpert result, very few TB diagnoses would have been made in this study by immediately repeating Xpert. We limited our study to HIV-positive individuals at highest risk of active TB, i.e. those who were WHO tool positive with CD4&lt;200x10
                <sup>6</sup>/l, or pre-ART with CD4&lt;200x10
                <sup>6</sup>/l, or newly diagnosed, to minimise unnecessary testing of individuals at lower risk of active TB. The low yield from repeat Xpert in those with negative initial Xpert is likely due to paucibacillary or extrapulmonary disease. These TB diagnoses may be better identified by alternative diagnostic modalities, such as chest radiography. A South African study of patients with sputum screened for TB by Xpert and mycobacterial culture prior to ART initiation, using a gold standard of culture-confirmed TB (N=85), found that those who were Xpert-negative had higher CD4 cell counts and lower viral loads than those who were Xpert-positive
                <sup>
                    <xref ref-type="bibr" rid="ref-14">14</xref>
                </sup>. We did not have enough positive stored Xpert results to undertake a similar analysis.</p>
            <p>Our study illustrates the realities of implementing the test negative algorithm in HIV-positive individuals. Despite research staff facilitating the algorithm, less than half (100/227) of participants produced sputum for mycobacterial culture during follow-up (
                <italic toggle="yes">vs.</italic> 100% assumed by Schnippel)
                <sup>
                    <xref ref-type="bibr" rid="ref-7">7</xref>
                </sup>. We found sensitivity of the repeat Xpert was only 18% (5/28) for all TB or 31% (5/16) for bacteriologically-confirmed TB 
                <italic toggle="yes">vs.</italic> 79% assumed by Schnippel
                <sup>
                    <xref ref-type="bibr" rid="ref-6">6</xref>,
                    <xref ref-type="bibr" rid="ref-7">7</xref>
                </sup>. Data from South Africa demonstrate poor adherence in routine care settings to TB diagnostic algorithms amongst HIV-positive individuals with initial negative Xpert test
                <sup>
                    <xref ref-type="bibr" rid="ref-15">15</xref>,
                    <xref ref-type="bibr" rid="ref-16">16</xref>
                </sup>. The aforementioned model
                <sup>
                    <xref ref-type="bibr" rid="ref-6">6</xref>,
                    <xref ref-type="bibr" rid="ref-7">7</xref>
                </sup> assumes 1% of patients with TB symptoms start TB treatment based on a clinical diagnosis, but we found this to be far greater; and the model does not consider extrapulmonary TB (one-fifth of our participants diagnosed with TB had only extrapulmonary disease). An economic evaluation of repeat sputum Xpert 
                <italic toggle="yes">vs.</italic> the Xpert-negative algorithm for HIV-positive individuals using assumptions that are more realistic is needed.</p>
            <p>Evaluation of the 2007 WHO algorithm for smear-negative TB (comprising chest radiograph, single sputum for mycobacterial culture, and antibiotic trial), in HIV-positive individuals being investigated for TB in Cambodia
                <sup>
                    <xref ref-type="bibr" rid="ref-17">17</xref>
                </sup>, against a gold standard of culture-confirmed TB based on multiple specimens, demonstrated sensitivity of 60%
                <sup>
                    <xref ref-type="bibr" rid="ref-17">17</xref>
                </sup>. Sensitivity of this algorithm is imperfect, and there is a risk of overtreatment when only clinical-radiological features are used to start TB treatment. 40% (11/27) of our study participants who started TB treatment did so because of compatible imaging, of whom almost half were subsequently bacteriologically confirmed, highlighting its value to support rapid initiation of TB treatment. Our findings are in accord with data from the XTEND trial, which found that compatible chest radiograph was the main reason for initiating empiric TB treatment in a cohort of patients investigated for TB in primary care in South Africa, amongst whom microbiological confirmation was subsequently obtained for 13%
                <sup>
                    <xref ref-type="bibr" rid="ref-18">18</xref>
                </sup>. South African national guidelines now recommend chest radiography for all individuals with symptoms suggestive of TB who cannot produce a sputum sample, but limited access to radiography facilities may limit implementation
                <sup>
                    <xref ref-type="bibr" rid="ref-4">4</xref>
                </sup>. Amongst our study participants who provided sputum for mycobacterial culture prior to their 3-month visit there was a low yield of 
                <italic toggle="yes">Mtb</italic> (3/100 [3%]), and the yield from further Xpert during follow-up was 7% (6/89), representing just over half (9/16) of all confirmed TB diagnoses. Our findings highlight the need for more sensitive diagnostic tests, and for repeating TB investigation using all available modalities, in HIV-positive individuals with initial negative sputum test result who remain symptomatic or have advanced immunosuppression. Current WHO guidance supports the use of urine LF-LAM to assist TB diagnosis in symptomatic HIV-positive adult in- or out-patients with CD4 cell counts &#x2264;100 cells/mm
                <sup>3</sup>, or those who are seriously ill irrespective of CD4 count
                <sup>
                    <xref ref-type="bibr" rid="ref-13">13</xref>
                </sup>. Data from the STAMP trial showed that systematic screening with LF-LAM of hospitalised HIV-positive adults increased overall TB diagnosis and in certain subgroups of patients reduced mortality
                <sup>
                    <xref ref-type="bibr" rid="ref-19">19</xref>
                </sup>. We have previously reported the low sensitivity of LF-LAM in the broader XPHACTOR study population
                <sup>
                    <xref ref-type="bibr" rid="ref-20">20</xref>
                </sup>. In this substudy we found that LF-LAM would not have helped make earlier diagnoses of TB.</p>
            <p>Our study has some limitations. In the parent XPHACTOR study, Xpert testing was prioritised in people with BMI&lt;18.5kg/m
                <sup>2</sup> or CD4&lt;100, those newly diagnosed HIV-positive or pre-ART with CD4&lt;200, as well as those with TB symptoms
                <sup>
                    <xref ref-type="bibr" rid="ref-8">8</xref>
                </sup>. Thus the population in this substudy did not all have classic &#x201c;TB symptoms&#x201d; at the time of collection of either initial or repeat sputum samples for testing with Xpert. However, TB prevalence in our substudy population was high, and we anticipate our results to be relevant at least to these high-risk groups. We froze all our raw sputum samples within 24 hours of collection, and all were thawed and tested within 6 months of collection, in line with other studies
                <sup>
                    <xref ref-type="bibr" rid="ref-21">21</xref>
                </sup>. We assumed that all participants starting TB treatment or with a sample which was bacteriologically confirmed collected within six months of enrolment were likely to have had active TB at enrolment, regardless of whether it was diagnosable using sputum based tests at the time of enrolment. In fact, our study participants who started TB treatment commenced within a median of seven weeks from collection of the &#x201c;repeat&#x201d; Xpert sample. Some sputum samples for mycobacterial culture and chest radiographs were taken at an interval after participants returned for their initial Xpert test result, reflecting real-life investigation practice; we cannot be certain of the same result if they had been performed at the same time as sample collection for repeat Xpert. However, our findings suggest that following the Xpert-negative algorithm is more likely to lead to TB diagnosis than immediate repeat Xpert test.</p>
            <p>Strengths of our study include systematic evaluation of participants and longitudinal follow-up which minimised the number of TB diagnoses missed, and the pragmatic nature of the study which reflected as far as possible real-life conditions, albeit with optimised implementation of TB diagnostic algorithms.</p>
        </sec>
        <sec sec-type="conclusions">
            <title>Conclusions</title>
            <p>Amongst ambulatory HIV-positive individuals at high risk of active TB, if an initial Xpert is negative, the Xpert-negative pathway should be implemented and there should be a low threshold for investigating those who remain at high risk using all clinically appropriate diagnostic modalities. In addition, those for whom no TB diagnosis is made must be made aware of the importance of returning for review if symptoms persist or recur. Our findings do not support sending an immediate repeat Xpert and highlight the need for more sensitive diagnostic tests capable of detecting pulmonary and extrapulmonary TB.</p>
        </sec>
        <sec>
            <title>Data availability</title>
            <p>The XPHACTOR &#x201c;Investigating TB if initial Xpert is negative&#x201d; dataset, which includes data underlying this substudy, has been uploaded to the LSHTM Data Compass repository: 
                <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.17037/DATA.284">https://doi.org/10.17037/DATA.284</ext-link>
                <sup>
                    <xref ref-type="bibr" rid="ref-22">22</xref>
                </sup>.</p>
            <p>The reader will need to request the dataset from LSHTM (request access is provided within the data record) with a brief summary of how the dataset will be utilised. On request, a data sharing agreement will be made available which will first need to be signed, prior to provision of the dataset. This enables LSHTM to confirm that the reader is using the data for HIV or TB-related research, which is required because study participants consented to use of their data for HIV or TB-related research only.</p>
            <p>The data is shared under a Data Sharing Agreement license (see above).</p>
            <p>The study team wish to avoid unnecessary barriers to access and will seek to respond to data requests as quickly as possible.</p>
        </sec>
    </body>
    <back>
        <ack>
            <title>Acknowledgements</title>
            <p>We thank the study participants; the nursing and medical staff of Chris Hani Baragwanath and Mamelodi hospitals, Ramokonopi and Jabulani Dumane community health clinics, South Africa; the staff of National Health Laboratory Services, South Africa; and the staff of Aurum Institute for their essential contributions to this study.</p>
        </ack>
        <sec sec-type="supplementary-material">
            <title>Supplementary material</title>
            <p id="SF1">Supplementary File 1: XPHACTOR study flow, procedures and algorithm.</p>
            <p>
                <ext-link ext-link-type="uri" xlink:href="https://gatesopenresearch.s3.amazonaws.com/supplementary/12815/7552830f-f5da-4d17-b712-06d318973ff0.pdf">Click here to access the data</ext-link>.</p>
        </sec>
        <ref-list>
            <ref id="ref-1">
                <label>1</label>
                <mixed-citation publication-type="journal">
                    <collab>World Health Organization</collab>:
                    <article-title>Automated Real-Time Nucleic Acid Amplification Technology for Rapid and Simultaneous Detection of Tuberculosis and Rifampicin Resistance: Xpert MTB/RIF Assay for the Diagnosis of Pulmonary and Extrapulmonary TB in Adults and Children: Policy Update</article-title>. WHO Guidelines Approved by the Guidelines Review Committee. Geneva<year>2013</year>.
                    <pub-id pub-id-type="pmid">25473701</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref-2">
                <label>2</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Samb</surname>
                            <given-names>B</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Sow</surname>
                            <given-names>PS</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Kony</surname>
                            <given-names>S</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Risk factors for negative sputum acid-fast bacilli smears in pulmonary tuberculosis: results from Dakar, Senegal, a city with low HIV seroprevalence.</article-title>
                    <source>

                        <italic toggle="yes">Int J Tuberc Lung Dis.</italic>
</source>
                    <year>1999</year>;<volume>3</volume>(<issue>4</issue>):<fpage>330</fpage>&#x2013;<lpage>6</lpage>.
                    <pub-id pub-id-type="pmid">10206504</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref-3">
                <label>3</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Steingart</surname>
                            <given-names>KR</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Schiller</surname>
                            <given-names>I</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Horne</surname>
                            <given-names>DJ</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Xpert&#x00ae; MTB/RIF assay for pulmonary tuberculosis and rifampicin resistance in adults.</article-title>
                    <source>

                        <italic toggle="yes">Cochrane Database Syst Rev.</italic>
</source>
                    <year>2014</year>; (<issue>1</issue>):<fpage>CD009593</fpage>.
                    <pub-id pub-id-type="pmid">24448973</pub-id>
                    <pub-id pub-id-type="doi">10.1002/14651858.CD009593.pub3</pub-id>
                    <pub-id pub-id-type="pmcid">4470349</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref-4">
                <label>4</label>
                <mixed-citation publication-type="journal">
                    <collab>Department of Health - Republic of South Africa</collab>:
                    <article-title>National Tuberculosis Management Guidelines 2014 [2nd April 2015]</article-title>.
                    <ext-link ext-link-type="uri" xlink:href="http://www.tbonline.info/media/uploads/documents/ntcp_adult_tb-guidelines-27.5.2014.pdf">Reference Source</ext-link>
                </mixed-citation>
            </ref>
            <ref id="ref-5">
                <label>5</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Lawn</surname>
                            <given-names>SD</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Brooks</surname>
                            <given-names>SV</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Kranzer</surname>
                            <given-names>K</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Screening for HIV-associated tuberculosis and rifampicin resistance before antiretroviral therapy using the Xpert MTB/RIF assay: a prospective study.</article-title>
                    <source>

                        <italic toggle="yes">PLoS Med.</italic>
</source>
                    <year>2011</year>;<volume>8</volume>(<issue>7</issue>):<fpage>e1001067</fpage>.
                    <pub-id pub-id-type="pmid">21818180</pub-id>
                    <pub-id pub-id-type="doi">10.1371/journal.pmed.1001067</pub-id>
                    <pub-id pub-id-type="pmcid">3144215</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref-6">
                <label>6</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Meyer-Rath</surname>
                            <given-names>G</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Schnippel</surname>
                            <given-names>K</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Long</surname>
                            <given-names>L</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>The impact and cost of scaling up GeneXpert MTB/RIF in South Africa.</article-title>
                    <source>

                        <italic toggle="yes">PLoS One.</italic>
</source>
                    <year>2012</year>;<volume>7</volume>(<issue>5</issue>):<fpage>e36966</fpage>.
                    <pub-id pub-id-type="pmid">22693561</pub-id>
                    <pub-id pub-id-type="doi">10.1371/journal.pone.0036966</pub-id>
                    <pub-id pub-id-type="pmcid">3365041</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref-7">
                <label>7</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Schnippel</surname>
                            <given-names>K</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Meyer-Rath</surname>
                            <given-names>G</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Long</surname>
                            <given-names>L</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Diagnosing Xpert MTB/RIF negative TB: impact and cost of alternative algorithms for South Africa.</article-title>
                    <source>

                        <italic toggle="yes">S Afr Med J.</italic>
</source>
                    <year>2013</year>;<volume>103</volume>(<issue>2</issue>):<fpage>101</fpage>&#x2013;<lpage>6</lpage>.
                    <pub-id pub-id-type="pmid">23374320</pub-id>
                    <pub-id pub-id-type="doi">10.7196/samj.6182</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref-8">
                <label>8</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Hanifa</surname>
                            <given-names>Y</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Fielding</surname>
                            <given-names>KL</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Chihota</surname>
                            <given-names>VN</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>A clinical scoring system to prioritise investigation for tuberculosis among adults attending HIV clinics in South Africa.</article-title>
                    <source>

                        <italic toggle="yes">PLoS One.</italic>
</source>
                    <year>2017</year>;<volume>12</volume>(<issue>8</issue>):<fpage>e0181519</fpage>.
                    <pub-id pub-id-type="pmid">28771504</pub-id>
                    <pub-id pub-id-type="doi">10.1371/journal.pone.0181519</pub-id>
                    <pub-id pub-id-type="pmcid">5542442</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref-9">
                <label>9</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Dheda</surname>
                            <given-names>K</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Barry</surname>
                            <given-names>CE</given-names>
                            <suffix>3rd</suffix>
                        </name>

                        <name name-style="western">
                            <surname>Maartens</surname>
                            <given-names>G</given-names>
                        </name>
</person-group>:
                    <article-title>Tuberculosis</article-title>.
                    <source>

                        <italic toggle="yes">Lancet.</italic>
</source>
                    <year>2016</year>;<volume>387</volume>(<issue>10024</issue>):<fpage>1211</fpage>&#x2013;<lpage>26</lpage>.
                    <pub-id pub-id-type="pmid">26377143</pub-id>
                    <pub-id pub-id-type="doi">10.1016/S0140-6736(15)00151-8</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref-10">
                <label>10</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Cobelens</surname>
                            <given-names>F</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Kik</surname>
                            <given-names>S</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Esmail</surname>
                            <given-names>H</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>From latent to patent: rethinking prediction of tuberculosis.</article-title>
                    <source>

                        <italic toggle="yes">Lancet Respir Med.</italic>
</source>
                    <year>2017</year>;<volume>5</volume>(<issue>4</issue>):<fpage>243</fpage>&#x2013;<lpage>4</lpage>.
                    <pub-id pub-id-type="pmid">28017341</pub-id>
                    <pub-id pub-id-type="doi">10.1016/S2213-2600(16)30419-2</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref-11">
                <label>11</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Corbett</surname>
                            <given-names>EL</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Bandason</surname>
                            <given-names>T</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Cheung</surname>
                            <given-names>YB</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Prevalent infectious tuberculosis in Harare, Zimbabwe: burden, risk factors and implications for control.</article-title>
                    <source>

                        <italic toggle="yes">Int J Tuberc Lung Dis.</italic>
</source>
                    <year>2009</year>;<volume>13</volume>(<issue>10</issue>):<fpage>1231</fpage>&#x2013;<lpage>7</lpage>.
                    <pub-id pub-id-type="pmid">19793427</pub-id>
                    <pub-id pub-id-type="pmcid">3374846</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref-12">
                <label>12</label>
                <mixed-citation publication-type="journal">
                    <collab>World Health Organization</collab>:
                    <article-title>Definitions and reporting framework for tuberculosis &#x2013; 2013 revision.</article-title>(updated December 2014) 2013 [20th April 2015].
                    <ext-link ext-link-type="uri" xlink:href="http://apps.who.int/iris/bitstream/handle/10665/79199/9789241505345_eng.pdf;jsessionid=CE4AE9F2D857B4E8052BC3F60EA00C05?sequence=1">Reference Source</ext-link>
                </mixed-citation>
            </ref>
            <ref id="ref-13">
                <label>13</label>
                <mixed-citation publication-type="journal">
                    <collab>World Health Organization</collab>:
                    <article-title>The use of lateral flow urine lipoarabinomannan assay (LF-LAM) for the diagnosis and screening of active tuberculosis in people living with HIV.</article-title>
                    <source>

                        <italic toggle="yes">Policy guidance.</italic>
</source>
                    <year>2015</year>.
                    <ext-link ext-link-type="uri" xlink:href="http://www.who.int/tb/areas-of-work/laboratory/policy_statement_lam_web.pdf">Reference Source</ext-link>
                </mixed-citation>
            </ref>
            <ref id="ref-14">
                <label>14</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Lawn</surname>
                            <given-names>SD</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Kerkhoff</surname>
                            <given-names>AD</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Vogt</surname>
                            <given-names>M</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Characteristics and early outcomes of patients with Xpert MTB/RIF-negative pulmonary tuberculosis diagnosed during screening before antiretroviral therapy.</article-title>
                    <source>

                        <italic toggle="yes">Clin Infect Dis.</italic>
</source>
                    <year>2012</year>;<volume>54</volume>(<issue>8</issue>):<fpage>1071</fpage>&#x2013;<lpage>9</lpage>.
                    <pub-id pub-id-type="pmid">22318975</pub-id>
                    <pub-id pub-id-type="doi">10.1093/cid/cir1039</pub-id>
                    <pub-id pub-id-type="pmcid">3309885</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref-15">
                <label>15</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>McCarthy</surname>
                            <given-names>KM</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Grant</surname>
                            <given-names>AD</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Chihota</surname>
                            <given-names>V</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Implementation and Operational Research: What Happens After a Negative Test for Tuberculosis? Evaluating Adherence to TB Diagnostic Algorithms in South African Primary Health Clinics.</article-title>
                    <source>

                        <italic toggle="yes">J Acquir Immune Defic Syndr.</italic>
</source>
                    <year>2016</year>;<volume>71</volume>(<issue>5</issue>):<fpage>e119</fpage>&#x2013;<lpage>26</lpage>.
                    <pub-id pub-id-type="pmid">26966843</pub-id>
                    <pub-id pub-id-type="doi">10.1097/QAI.0000000000000907</pub-id>
                    <pub-id pub-id-type="pmcid">4804742</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref-16">
                <label>16</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Naidoo</surname>
                            <given-names>P</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Dunbar</surname>
                            <given-names>R</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Lombard</surname>
                            <given-names>C</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Comparing Tuberculosis Diagnostic Yield in Smear/Culture and Xpert&#x00ae; MTB/RIF-Based Algorithms Using a Non-Randomised Stepped-Wedge Design.</article-title>
                    <source>

                        <italic toggle="yes">PLoS One.</italic>
</source>
                    <year>2016</year>;<volume>11</volume>(<issue>3</issue>):<fpage>e0150487</fpage>.
                    <pub-id pub-id-type="pmid">26930400</pub-id>
                    <pub-id pub-id-type="doi">10.1371/journal.pone.0150487</pub-id>
                    <pub-id pub-id-type="pmcid">4773132</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref-17">
                <label>17</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Koole</surname>
                            <given-names>O</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Thai</surname>
                            <given-names>S</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Khun</surname>
                            <given-names>KE</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Evaluation of the 2007 WHO guideline to improve the diagnosis of tuberculosis in ambulatory HIV-positive adults.</article-title>
                    <source>

                        <italic toggle="yes">PLoS One.</italic>
</source>
                    <year>2011</year>;<volume>6</volume>(<issue>4</issue>):<fpage>e18502</fpage>.
                    <pub-id pub-id-type="pmid">21494694</pub-id>
                    <pub-id pub-id-type="doi">10.1371/journal.pone.0018502</pub-id>
                    <pub-id pub-id-type="pmcid">3071837</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref-18">
                <label>18</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>McCarthy</surname>
                            <given-names>K</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Fielding</surname>
                            <given-names>K</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Churchyard</surname>
                            <given-names>GJ</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Empiric tuberculosis treatment in South African primary health care facilities - for whom, where, when and why: Implications for the development of tuberculosis diagnostic tests.</article-title>
                    <source>

                        <italic toggle="yes">PLoS One.</italic>
</source>
                    <year>2018</year>;<volume>13</volume>(<issue>1</issue>):<fpage>e0191608</fpage>.
                    <pub-id pub-id-type="pmid">29364960</pub-id>
                    <pub-id pub-id-type="doi">10.1371/journal.pone.0191608</pub-id>
                    <pub-id pub-id-type="pmcid">5783417</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref-19">
                <label>19</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Gupta-Wright</surname>
                            <given-names>A</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Corbett</surname>
                            <given-names>EL</given-names>
                        </name>

                        <name name-style="western">
                            <surname>van Oosterhout</surname>
                            <given-names>JJ</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Urine-based screening for tuberculosis: a randomized trial in HIV-positive inpatients</article-title>.
                    <italic toggle="yes">Conference on Retroviruses and Opportunistic Infections</italic>; Boston, Massachusetts, USA. March 4&#x2013;7,<year>2018</year>.
                    <ext-link ext-link-type="uri" xlink:href="http://www.croiconference.org/sessions/urine-based-screening-tuberculosis-randomized-trial-hiv-positive-inpatients">Reference Source</ext-link>
                </mixed-citation>
            </ref>
            <ref id="ref-20">
                <label>20</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Hanifa</surname>
                            <given-names>Y</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Fielding</surname>
                            <given-names>KL</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Chihota</surname>
                            <given-names>VN</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Diagnostic Accuracy of Lateral Flow Urine LAM Assay for TB Screening of Adults with Advanced Immunosuppression Attending Routine HIV Care in South Africa.</article-title>
                    <source>

                        <italic toggle="yes">PLoS One.</italic>
</source>
                    <year>2016</year>;<volume>11</volume>(<issue>6</issue>):<fpage>e0156866</fpage>.
                    <pub-id pub-id-type="pmid">27271432</pub-id>
                    <pub-id pub-id-type="doi">10.1371/journal.pone.0156866</pub-id>
                    <pub-id pub-id-type="pmcid">4896615</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref-21">
                <label>21</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Theron</surname>
                            <given-names>G</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Zijenah</surname>
                            <given-names>L</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Chanda</surname>
                            <given-names>D</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Feasibility, accuracy, and clinical effect of point-of-care Xpert MTB/RIF testing for tuberculosis in primary-care settings in Africa: a multicentre, randomised, controlled trial.</article-title>
                    <source>

                        <italic toggle="yes">Lancet.</italic>
</source>
                    <year>2014</year>;<volume>383</volume>(<issue>9915</issue>):<fpage>424</fpage>&#x2013;<lpage>35</lpage>.
                    <pub-id pub-id-type="pmid">24176144</pub-id>
                    <pub-id pub-id-type="doi">10.1016/S0140-6736(13)62073-5</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref-22">
                <label>22</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Hanifa</surname>
                            <given-names>Y</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Fielding</surname>
                            <given-names>K</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Grant</surname>
                            <given-names>AD</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Data for: "The utility of repeat Xpert MTB/RIF testing to diagnose tuberculosis in HIV-positive adults with initial negative result"</article-title>. [Online].
                    <italic toggle="yes">London School of Hygiene &amp; Tropical Medicine</italic>, London, United Kingdom.<year>2016</year>.
                    <ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.17037/DATA.284">Data Source</ext-link>
                </mixed-citation>
            </ref>
        </ref-list>
    </back>
    <sub-article article-type="reviewer-report" id="report26494">
        <front-stub>
            <article-id pub-id-type="doi">10.21956/gatesopenres.13882.r26494</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Lim</surname>
                        <given-names>Tow Keang</given-names>
                    </name>
                    <xref ref-type="aff" rid="r26494a1">1</xref>
                    <role>Referee</role>
                </contrib>
                <aff id="r26494a1">
                    <label>1</label>Division of Respiratory and Critical Care Medicine, National University Hospital, Singapore, Singapore</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>1</day>
                <month>6</month>
                <year>2018</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2018 Lim TK</copyright-statement>
                <copyright-year>2018</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport26494" related-article-type="peer-reviewed-article" xlink:href="10.12688/gatesopenres.12815.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>This study examined the sensitivity of repeating an expectorated sputum specimen for Xpert testing for TB in a group of high risk immuno-compromised patients&#x00a0; who had returned negative tests initially. negative tests. The repeat Xpert test had lower than expected&#x00a0; sensitivity (~20%) and contributed very little to treatment timeliness. However the overall incidence of TB was low and it was mostly pauci-bacillary disease. These results many not be applicable to patients with higher disease burden or for induced sputa.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Yes</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Yes</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Yes</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>NA</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.</p>
        </body>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report26447">
        <front-stub>
            <article-id pub-id-type="doi">10.21956/gatesopenres.13882.r26447</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Hanrahan</surname>
                        <given-names>Colleen F.</given-names>
                    </name>
                    <xref ref-type="aff" rid="r26447a1">1</xref>
                    <role>Referee</role>
                </contrib>
                <aff id="r26447a1">
                    <label>1</label>Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>31</day>
                <month>5</month>
                <year>2018</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2018 Hanrahan CF</copyright-statement>
                <copyright-year>2018</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport26447" related-article-type="peer-reviewed-article" xlink:href="10.12688/gatesopenres.12815.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve-with-reservations</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>Overall 
                <list list-type="bullet">
                    <list-item>
                        <p>This study provides some interesting data on how useful a 2nd Xpert is to follow-up on those initially negative by Xpert. The addition of LAM to this study needs to be clearly and explicitly explained. Currently it reads as a very extraneous add-on.</p>
                    </list-item>
                    <list-item>
                        <p>There are too many tables/figures for the amount of actual data. I find the presentation of data currently to be excessive and unnecessarily complicated and duplicative.</p>
                    </list-item>
                </list> Introduction: 
                <list list-type="bullet">
                    <list-item>
                        <p>Aim is awkwardly stated. Possibly reword with study population at the end, and try to make it more succinct.</p>
                    </list-item>
                    <list-item>
                        <p>LAM needs to be included as an aim from the start. Otherwise it feels like a very tangential add on.</p>
                    </list-item>
                </list> Methods: 
                <list list-type="bullet">
                    <list-item>
                        <p>I would like a formal definition of the primary outcome and any secondary outcomes. They are probably in there, but not explicitly stated enough.</p>
                    </list-item>
                    <list-item>
                        <p>I think a flow diagram of testing would be helpful to flesh out the methods.</p>
                    </list-item>
                    <list-item>
                        <p>It's not&#x00a0;clear to me where LAM fits in. An Xpert negative pt is re-screened for symptoms, has a chest x-ray and sputum for culture, and/or antibiotic trial is given. But then suddenly under statistical methods, you mention LAM for the first time. LAM is not part of the SA algorithm. We need to know when this was done, and even why it is relevant to this study.</p>
                    </list-item>
                </list> Results: 
                <list list-type="bullet">
                    <list-item>
                        <p>Not sure why 1 person who started TB treatment &gt;6 months after enrollment would be excluded? This gets back to my previous point that you need to explicitly state the primary outcome, so we can understand why you would have excluded these 7 individuals.</p>
                    </list-item>
                    <list-item>
                        <p>I'm confused by figure 1. What i'd like to know is what is the additional yield of Xpert, but I can't tell that from this figure. The way it looks is that all the people who had confirmed TB were not diagnosed with clinical TB. However, I can't believe that is true. I would prefer to see who was diagnosed how up front&#x00a0; (clinical, microbiological) and who wasn't ("not tb"). Then from those boxes, show us how many in each were Xpert positive from the 2nd sputum.</p>
                    </list-item>
                    <list-item>
                        <p>I'm confused by the section on TB diagnosis. Those diagnosed by Xpert don't appear to be by the 2nd Xpert that was taken and stored, because lower down you detail those individuals. But a 2nd Xpert is not part of the SA algorithm. &#x00a0;Something needs to be done to make this clearer.</p>
                    </list-item>
                    <list-item>
                        <p>Table 2 confuses me for the same reason that figure 1 confuses me.</p>
                    </list-item>
                    <list-item>
                        <p>If you change figure 1 as suggested above, then you don't need a venn diagram. That diagram conveys very little information.</p>
                    </list-item>
                    <list-item>
                        <p>Figure 3 is totally confusing because people can be in more than one of the top boxes...I'm not sure what this adds, particularly how it speaks to your primary outcome.</p>
                    </list-item>
                </list> Discussion: 
                <list list-type="bullet">
                    <list-item>
                        <p>Although the authors note that their population was not limited to symptomatic individuals as a potential weakness, they do not explicitly state that an asymptomatic population is likely to have paucibacillary or subclinical disease, for which Xpert would not have good sensitivity. The SA algorithm for TB investigation starts with a positive symptom screen, not merely for being HIV positive with a low CD4 despite having no symptoms. So these findings are not necessarily generalizeable to actual practice.</p>
                    </list-item>
                    <list-item>
                        <p>I would also note that the prevalence of clinical diagnosis is not necessarily generalizeable. Its unclear the level of care that was given to these participants- was this routine care available in a primary public health clinic, or is this specialized care as part of a research study? These details could help the reader evaluate how generalizeable the findings are.</p>
                    </list-item>
                </list> Conclusions: 
                <list list-type="bullet">
                    <list-item>
                        <p>The reference to the "Xpert negative pathway" is vague - authors should be specific about what kinds of followup are most useful. Authors should also include something about LAM.</p>
                    </list-item>
                </list>
            </p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Yes</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Yes</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Yes</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Partly</p>
            <p>Reviewer Expertise:</p>
            <p>NA</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.</p>
        </body>
        <sub-article article-type="response" id="comment3495-26447">
            <front-stub>
                <contrib-group>
                    <contrib contrib-type="author">
                        <name>
                            <surname>HANIFA</surname>
                            <given-names>YASMEEN</given-names>
                        </name>
                        <aff>London School of Hygiene &amp; Tropical Medicine, UK</aff>
                    </contrib>
                </contrib-group>
                <author-notes>
                    <fn fn-type="conflict">
                        <p>
                            <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                    </fn>
                </author-notes>
                <pub-date pub-type="epub">
                    <day>17</day>
                    <month>1</month>
                    <year>2022</year>
                </pub-date>
            </front-stub>
            <body>
                <p>Dear Dr Hanrahan,</p>
                <p> </p>
                <p> Thank you very much for your detailed comments and suggestions to improve our manuscript which we found very helpful, and apologies for the delay in responding. I have made changes in accordance with your comments</p>
                <p> </p>
                <p> Please find below point by point responses to your comments. Your comments are italicized and our responses are in normal font, with bold text to indicate revisions to the manuscript</p>
                <p> Best wishes,</p>
                <p> Yasmeen Hanifa</p>
                <p> </p>
                <p> 
                    <bold>
                        <italic>1. Overall</italic>
                    </bold> 
                    <list list-type="bullet">
                        <list-item>
                            <p>
                                <italic>This study provides some interesting data on how useful a 2nd Xpert is to follow-up on those initially negative by Xpert. The addition of LAM to this study needs to be clearly and explicitly explained. Currently it reads as a very extraneous add-on.</italic>
                            </p>
                        </list-item>
                    </list> 
                    <bold>Response:</bold> We have removed the LAM data from this manuscript. 
                    <list list-type="bullet">
                        <list-item>
                            <p>
                                <italic>There are too many tables/figures for the amount of actual data. I find the presentation of data </italic>
                                <italic>currently to be excessive and unnecessarily complicated and duplicative.</italic>
                            </p>
                        </list-item>
                    </list> 
                    <bold>Response: </bold>We have combined Figures 1 &amp; information from Figure 2 (new Figure 1), moved the data summarising the basis upon which TB treatment was commenced from table 2 to the new Figure 1 and moved Figure 3 to the supplementary material (new Figure 2 in supplementary material). This leaves two figures and two tables in the manuscript.</p>
                <p> </p>
                <p> 
                    <bold>
                        <italic>2. Introduction:</italic>
                    </bold> 
                    <list list-type="bullet">
                        <list-item>
                            <p>
                                <italic>Aim is awkwardly stated. Possibly reword with study population at the end, and try to make it more succinct.</italic>
                            </p>
                        </list-item>
                    </list> 
                    <bold>Response:</bold> We have amended the text as per your recommendation.&#x00a0;
                    <underline>The text reads as follows:</underline>
                </p>
                <p> </p>
                <p> 
                    <bold>The aim of our study was to describe the diagnostic yield from an immediate repeat Xpert on sputum, compared to sequential further investigation guided by South African recommendations, amongst HIV-positive adults being investigated for TB whose initial Xpert result is negative.</bold> 
                    <list list-type="bullet">
                        <list-item>
                            <p>
                                <italic>LAM needs to be included as an aim from the start. Otherwise it feels like a very tangential add on.</italic>
                            </p>
                        </list-item>
                    </list> 
                    <bold>Response:</bold> We have removed the LAM data from this manuscript.</p>
                <p> </p>
                <p> 
                    <bold>
                        <italic>3. Methods:</italic>
                    </bold> 
                    <list list-type="bullet">
                        <list-item>
                            <p>
                                <italic>I would like a formal definition of the primary outcome and any secondary outcomes. They are probably in there, but not explicitly stated enough.</italic>
                            </p>
                        </list-item>
                    </list> 
                    <bold>Response:</bold> We have amended the text as per your recommendation.&#x00a0;
                    <underline>The text reads as follows:</underline>
                </p>
                <p> </p>
                <p> 
                    <bold>Study outcomes</bold>
                </p>
                <p> The co-primary outcomes were a) the proportion of participants with a positive repeat Xpert and b) the proportion of participants fulfilling study TB case definitions
                    <bold>.</bold> 
                    <list list-type="bullet">
                        <list-item>
                            <p>
                                <italic>I think a flow diagram of testing would be helpful to flesh out the methods.</italic>
                            </p>
                        </list-item>
                    </list> 
                    <bold>Response:</bold> Figure 1 in the supplementary material describes the flow of the XPHACTOR study and this has been amended to more clearly detail the testing for the repeat Xpert substudy. 
                    <list list-type="bullet">
                        <list-item>
                            <p>
                                <italic>It's not clear to me where LAM fits in. An Xpert negative pt is re-screened for symptoms, has a chest x-ray and sputum for culture, and/or antibiotic trial is given. But then suddenly under statistical methods, you mention LAM for the first time. LAM is not part of the SA algorithm. We need to know when this was done, and even why it is relevant to this study.</italic>
                            </p>
                        </list-item>
                    </list> 
                    <bold>Response:</bold> We have removed the LAM data from this manuscript.</p>
                <p> </p>
                <p> 
                    <bold>
                        <italic>4. Results:</italic>
                    </bold> 
                    <list list-type="bullet">
                        <list-item>
                            <p>
                                <italic>Not sure why 1 person who started TB treatment &gt;6 months after enrollment would be excluded? </italic>
                                <italic>This gets back to my previous point that you need to explicitly state the primary outcome, so we can understand why you would have excluded these 7 individuals.</italic>
                            </p>
                        </list-item>
                    </list> 
                    <bold>Response:</bold> We excluded in total eight individuals from our analysis who did not fulfil the case definitions for TB or &#x201c;not TB&#x201d;. The rationale for this is detailed in the section headed &#x201c;TB case definitions&#x201d;. We deemed these individuals to have unclassifiable outcome and excluded them from all analyses. The primary outcome is now explicitly stated in the methods section as per your recommendation.&#x00a0; 
                    <list list-type="bullet">
                        <list-item>
                            <p>
                                <italic>I'm confused by figure 1. What i'd like to know is what is the additional yield of Xpert, but I can't tell that from this figure. The way it looks is that all the people who had confirmed TB were not diagnosed with clinical TB. However, I can't believe that is true. I would prefer to see who was diagnosed how up front (clinical, microbiological) and who wasn't ("not tb"). Then from those boxes, show us how many in each were Xpert positive from the 2nd sputum.</italic>
                            </p>
                        </list-item>
                    </list> 
                    <bold>Response:</bold> Figure 1 has been modified to detail the additional yield of Xpert by combining the information from Figure 2 as per your recommendation. It now clearly details the basis upon which patients actually commenced TB treatment 
                    <list list-type="bullet">
                        <list-item>
                            <p>
                                <italic>I'm confused by the section on TB diagnosis. Those diagnosed by Xpert don't appear to be by the 2nd Xpert that was taken and stored, because lower down you detail those individuals. But a 2
                                    <sup>nd</sup> Xpert is not part of the SA algorithm. Something needs to be done to make this clearer.</italic>
                            </p>
                        </list-item>
                    </list> 
                    <bold>Response:</bold> Further Xpert investigation was performed during study follow-up both for research purposes in accordance with the XPHACTOR study algorithm (described in the methods and in the supplementary material) and also during routine clinical care. Therefore, participants may have submitted a number of sputum samples for Xpert during the course of the study, and a positive result from any sample was used to assign the TB case definition. This has been made clearer in the footnotes for new Figure 1. The main study methods in the supplementary material describe how we reviewed clinic records at the end of the study to ascertain additional relevant investigations (including TB investigation performed as part of routine clinical care) and/or TB diagnoses.</p>
                <p> </p>
                <p> We have amended the methods section to clarify this.&#x00a0;
                    <underline>The text reads as follows:</underline>
                </p>
                <p> </p>
                <p> 
                    <bold>Investigation results were returned to clinic staff, who were responsible for management decisions. Clinic records were reviewed at the end of the study to ascertain any additional relevant investigations (e.g. Xpert, mycobacterial culture and imaging requested as part of routine clinical care) and/or TB diagnoses.</bold> 
                    <list list-type="bullet">
                        <list-item>
                            <p>
                                <italic>Table 2 confuses me for the same reason that figure 1 confuses me.</italic>
                            </p>
                        </list-item>
                    </list> 
                    <bold>Response: </bold>Table 2 has been simplified to report how case definitions were fulfilled and the site of TB; the summary of the basis upon which TB treatment was initiated has been moved to new Figure 1. 
                    <list list-type="bullet">
                        <list-item>
                            <p>
                                <italic>If you change figure 1 as suggested above, then you don't need a venn diagram. That diagram conveys very little information.</italic>
                            </p>
                        </list-item>
                    </list> 
                    <bold>Response:</bold> We have changed Figure 1 as per your recommendation. We think that the Venn diagram conveys the key study result at a glance and complements new Figure 1, particularly by showing graphically the overlap between individuals identified by repeat Xpert vs. the conventional algorithm. We would therefore prefer to retain it, if necessary in the supplementary material.</p>
                <p> </p>
                <p> We have also amended the results section to clarify the basis for initiating TB treatment.&#x00a0;
                    <underline>The text reads as follows:</underline>
                </p>
                <p> </p>
                <p> 
                    <bold>Thirteen participants started treatment based on positive mycobacteriology. Amongst these, eleven started treatment because of a bacteriologically-confirmed TB result (Xpert [7, of which one was the stored repeat Xpert sample]; 
                        <italic>Mtb </italic>isolated from sputum [3] or blood [1]). A further two participants started treatment because of compatible symptoms and positive sputum mycobacterial culture (later identified as non-tuberculous mycobacteria [NTM]) with symptomatic improvement on standard TB treatment (Figure 1).</bold> 
                    <list list-type="bullet">
                        <list-item>
                            <p>
                                <italic>Figure 3 is totally confusing because people can be in more than one of the top boxes...I'm not sure what this adds, particularly how it speaks to your primary outcome.</italic>
                            </p>
                        </list-item>
                    </list> 
                    <bold>Response:</bold> Although it does not speak to our primary outcome Figure 3 describes the volume and detail of investigation for TB that study participants underwent. As participants had multiple investigations they were included in more than one of the top boxes. This figure has been moved to the online supplement (Supplementary material, Figure 2) and renamed &#x201c;Investigations performed for participants from repeat Xpert substudy entry to 3-month visit&#x201d;.</p>
                <p> </p>
                <p> 
                    <bold>
                        <italic>5. Discussion:</italic>
                    </bold> 
                    <list list-type="bullet">
                        <list-item>
                            <p>
                                <italic>Although the authors note that their population was not limited to symptomatic individuals as a potential weakness, they do not explicitly state that an asymptomatic population is likely to have paucibacillary or subclinical disease, for which Xpert would not have good sensitivity. The SA algorithm for TB investigation starts with a positive symptom screen, not merely for being HIV positive with a low CD4 despite having no symptoms. So, these findings are not necessarily generalizeable to actual practice.</italic>
                            </p>
                        </list-item>
                    </list> 
                    <bold>Response: </bold>We do discuss the role of paucibacillary disease in the first paragraph of our discussion, and when describing study limitations but the text has been amended to include your recommendation to make a more explicit statement. We agree that current algorithms for TB start with symptom screening, but the need to identify active TB among asymptomatic HIV positive people is increasingly recognised, and our results have relevance to these efforts. We have added a sentence to the discussion to make this point.</p>
                <p> </p>
                <p> 
                    <underline>The text reads as follows:</underline>
                </p>
                <p> </p>
                <p> We limited our study to HIV-positive individuals at highest risk of active TB, i.e. those who were WHO tool positive with CD4&lt;200x10
                    <sup>6</sup>/l, or pre-ART with CD4&lt;200x10
                    <sup>6</sup>/l, or newly diagnosed,
                    <bold> of whom some were asymptomatic</bold>
                    <bold>
                        <underline>,</underline>
                    </bold> to minimise unnecessary testing of individuals at lower risk of active TB. The low yield from repeat Xpert in those with negative initial Xpert is likely due to paucibacillary 
                    <bold>or subclinical disease which is more likely in asymptomatic individuals</bold>
                    <bold>
                        <underline>,</underline>
                    </bold> or extrapulmonary disease. These TB diagnoses may be better identified by alternative diagnostic modalities, such as chest radiography.</p>
                <p> </p>
                <p> Our study has some limitations. In the parent XPHACTOR study, Xpert testing was prioritised in people with BMI&lt;18.5kg/m
                    <sup>2</sup> or CD4&lt;100, those newly diagnosed HIV-positive or pre-ART with CD4&lt;200, as well as those with TB symptoms. Thus the population in this substudy did not all have classic &#x201c;TB symptoms&#x201d; at the time of collection of either initial or repeat sputum samples for testing with Xpert. 
                    <bold>These individuals may have had paucibacillary or subclinical disease which would not have been detected by Xpert
                        <underline>.</underline>
                    </bold> However, TB prevalence in our substudy population was high, and we anticipate our results to be relevant at least to these high-risk groups. 
                    <bold>Our results are also relevant to efforts to improve TB case finding among asymptomatic HIV-positive people</bold>. 
                    <list list-type="bullet">
                        <list-item>
                            <p>
                                <italic>I would also note that the prevalence of clinical diagnosis is not necessarily generalizeable. Its unclear the level of care that was given to these participants- was this routine care available in a primary public health clinic, or is this specialized care as part of a research study? These details could help the reader evaluate how generalizeable the findings are.</italic>
                            </p>
                        </list-item>
                    </list> 
                    <bold>Response:</bold> All decisions regarding initiation of TB treatment were made by the routine care provider, and patients attended their routine care appointments at which they may have had additional investigations (including Xpert and mycobacterial culture) arranged by the clinic. We reviewed clinic records at the end of the study to obtain information regarding additional TB investigations and TB diagnoses made in routine care. This has been made clearer in the methods section as detailed above.</p>
                <p> </p>
                <p> As part of the research study additional Xpert testing was undertaken in accordance with the XPHACTOR study algorithm, and at the 3-month visit blood and sputum samples were taken for mycobacterial culture. As already described in the methods section our research staff facilitated the Xpert-negative algorithm when participants attended for Xpert result review, which should have been undertaken routinely for symptomatic individuals. Therefore these investigations are likely to have been initiated faster than in a routine setting. The research study is likely to identified both more confirmed TB and clinical TB diagnoses. We do refer to our optimised implementation of TB diagnostic algorithms when discussing the strengths of the study which should enable the reader to evaluate how generalizeable the findings are.</p>
                <p> </p>
                <p> 
                    <bold>
                        <italic>6. Conclusions:</italic>
                    </bold> 
                    <list list-type="bullet">
                        <list-item>
                            <p>
                                <italic>The reference to the "Xpert negative pathway" is vague - authors should be specific about what kinds of followup are most useful. Authors should also include something about LAM.</italic>
                            </p>
                        </list-item>
                    </list> 
                    <bold>Response:</bold> We have removed the LAM data from this manuscript. We have amended the text as per your recommendation.&#x00a0;
                    <underline>The text reads as follows:</underline>
                </p>
                <p> </p>
                <p> Amongst ambulatory HIV-positive individuals at high risk of active TB, if an initial Xpert is negative, the Xpert-negative pathway 
                    <bold>(chest radiograph, mycobacterial culture on sputum, if appropriate antibiotic trial
                        <underline>)</underline>
                    </bold> should be implemented and there should be a low threshold for investigating those who remain at high risk using all clinically appropriate diagnostic modalities.</p>
            </body>
        </sub-article>
    </sub-article>
</article>
