<?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">F1000Research</journal-id>
            <journal-title-group>
                <journal-title>F1000Research</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2046-1402</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/f1000research.135106.1</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>Non-tuberculous mycobacterium isolations from tuberculosis presumptive cases at the National Tuberculosis Reference Laboratory Kenya, 2018&#x2013;2019</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: 1 approved, 1 not approved]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Kamau</surname>
                        <given-names>George</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/">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/">Resources</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/">Validation</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/0000-0003-1556-4434</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <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>Mwangi</surname>
                        <given-names>Zakayo</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-3608-6892</uri>
                    <xref ref-type="aff" rid="a4">4</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Bargul</surname>
                        <given-names>Joel</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/">Methodology</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="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>owiny</surname>
                        <given-names>Maurice</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/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Validation</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="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Mukiri</surname>
                        <given-names>Nellie</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <xref ref-type="aff" rid="a5">5</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Kathure</surname>
                        <given-names>Immaculate</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a6">6</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Khamala</surname>
                        <given-names>Beatrice</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Validation</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>Mwanyalu</surname>
                        <given-names>Nassoro</given-names>
                    </name>
                    <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/">Validation</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="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Kiplimo</surname>
                        <given-names>Richard</given-names>
                    </name>
                    <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/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a7">7</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Lihana</surname>
                        <given-names>Raphael</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/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Biomedical, Kenya Medical Research Institute (KEMRI), Nairobi, Nairobi, Kenya</aff>
                <aff id="a2">
                    <label>2</label>Department of Preventive and Promotive Health (DPPH), Field Epidemiology Laboratory Training Program (FELTP), Nairobi, Nairobi, Kenya</aff>
                <aff id="a3">
                    <label>3</label>Biochemistry Department, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Nairobi County, Kenya</aff>
                <aff id="a4">
                    <label>4</label>Medical Laboratory Sciences, Meru University of Science and Technology, Meru, Kenya</aff>
                <aff id="a5">
                    <label>5</label>Laboratory services, National Tuberculosis Reference Laboratory, Kenya ( NTRL), Nairobi, Nairobi, Kenya</aff>
                <aff id="a6">
                    <label>6</label>National Strategic Public Health Programs,, 2. National Tuberculosis and Lung Diseases, Kenya (NTLD-P), Nairobi, Nairobi, Kenya</aff>
                <aff id="a7">
                    <label>7</label>Statistics, African Medical Research and Education Foundation, Nairobi, Nairobi, Kenya</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:georgegiathi@gmail.com">georgegiathi@gmail.com</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>4</day>
                <month>9</month>
                <year>2023</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2023</year>
            </pub-date>
            <volume>12</volume>
            <elocation-id>1104</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>26</day>
                    <month>6</month>
                    <year>2023</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2023 Kamau G et al.</copyright-statement>
                <copyright-year>2023</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://f1000research.com/articles/12-1104/pdf"/>
            <abstract>
                <p>
                    <bold>Background:</bold> Mycobacterial pathogens are among the top causes of diseases in humans. In Kenya, incidences of Non-Tuberculous Mycobacteria (NTM) species have steadily been on the increase. Most NTMare resistant to first line treatment of tuberculosis and have a challenge in timely and accurate diagnosis. Misdiagnosis has led to prescribing anti-tuberculosis regimens to patients suffering from NTM. We aimed to determine the most prevalent Non-Tuberculous 
                    <italic toggle="yes">Mycobacterium</italic> in Kenya.</p>
                <p>
                    <bold>Methods:</bold> We reviewed records from the National Tuberculosis Reference Laboratory(NTRL ) Laboratory information management system (LIMS) between January 2018 and December 2019 for the patients on surveillance. All isolates were cultured in Mycobacterial Growth Indicator Tubes (MGIT) and incubated for detection using BACTEC&#x2122; MGIT&#x2122; system. Those with negative acid-fast bacilli (AFB) growth and negative for Mycobacterium Tuberculosis Complex Species (MTBC) protein-MPT64 were suggestive of NTM infections, which were sub-cultured in MGIT and characterized using Line Probe Assay (LPA) GenoType&#x00ae; MTBDR CM/AS. Descriptive and bivariate analysis was done.</p>
                <p>
                    <bold>Results:</bold> Of the total 24,549 records reviewed, 167(0.7%) were NTM isolates. Males comprised of 74.2% (124/167), and the mean age was 42 years (SD&#x00b1;16), age group 35-44 years had the highest NTM at 26.3% (44/167). Nairobi had 12.6% (21/167), Mombasa 10.8% (18/167), Kilifi and Meru each had 7.8% (13/167). Eleven isolated species comprised of 
                    <italic toggle="yes">Mycobacterium intracellulare</italic> 35.3% (65/167), 
                    <italic toggle="yes">M. fortuitum at</italic> 27% (48/167), and 
                    <italic toggle="yes">M. scrofulaceum at</italic> 10.2% (17/167). Previously treated patients had higher NTM [63.5% (106/167)] than Drug-resistant follow-up patients [26.9% (45/167)]. Coinfection with HIV was at 27.5% (46/167).</p>
                <p>
                    <bold>Conclusion:</bold> Previously treated patients should have an additional screening of NTMS, and drug susceptibility testing should be done before initiation of treatment.</p>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>Nontuberculous Mycobacteria</kwd>
                <kwd>Kenya</kwd>
                <kwd>Mycobacterium avium Complex</kwd>
                <kwd>Mycobacterium tuberculosis</kwd>
                <kwd>Prevalence</kwd>
            </kwd-group>
            <funding-group>
                <funding-statement>The author(s) declared that no grants were involved in supporting this work.</funding-statement>
            </funding-group>
        </article-meta>
    </front>
    <body>
        <sec id="sec1" sec-type="intro">
            <title>Introduction</title>
            <p>Humans are often affected by 
                <italic toggle="yes">Mycobacterium</italic> infections. In developing countries, non-tuberculous mycobacterial (NTM) infections have been overshadowed by high incidences of 
                <italic toggle="yes">tuberculosis.</italic> This trend is, however, fast-changing. The number of new infections is increasing due to the growing number of immune-deficient patients (
                <xref ref-type="bibr" rid="ref7">Ferreira 
                    <italic toggle="yes">et al.</italic>, 2002</xref>) and nonsterile endoscopic medical devices (
                <xref ref-type="bibr" rid="ref3">Duarte 
                    <italic toggle="yes">et al.</italic>, 2009</xref>). Pulmonary diseases caused by NTM have been on the increase worldwide (
                <xref ref-type="bibr" rid="ref8">Hoefsloot 
                    <italic toggle="yes">et al.,</italic> 2013</xref>). In 2014 estimated prevalence of pulmonary tuberculosis caused by NTM was estimated to be 33&#x2013;65 per 100,000 persons (
                <xref ref-type="bibr" rid="ref14">Morimoto 
                    <italic toggle="yes">et al.,</italic> 2014</xref>).</p>
            <p>Globally, positive acid-fast bacilli (AFB) specimens are assumed to develop 
                <italic toggle="yes">Mycobacterium tuberculosis</italic> (MTBC) and are therefore managed by anti-tuberculosis agents whereas some are put under speculated areas (
                <xref ref-type="bibr" rid="ref13">Mertaniasih 
                    <italic toggle="yes">et al.,</italic> 2017</xref>). The high prevalence of AFB leads to isolation of mycobacterial illness, meaning that more patients with AFB-positive samples have been administered unsuitable and, more so, unnecessary empirical anti-tuberculosis treatment (
                <xref ref-type="bibr" rid="ref18">Ngayo 
                    <italic toggle="yes">et al.,</italic> 2015</xref>). As a result of this incorrect treatment and high treatment letdown, the mortality of patients with lung infections is increasing. Therefore, appropriate diagnosis and regular monitoring are crucial in monitoring and treating patients (
                <xref ref-type="bibr" rid="ref1">Aksamit 
                    <italic toggle="yes">et al.,</italic> 2014</xref>).</p>
            <p>In Kenya, data regarding the burden of pulmonary illness is scanty, partly due to constraints in surveillance and diagnosis of mycobacterial species. Distribution of these species (NTM) contributes to the difficulties in interpreting positive culture results. Furthermore, it is not mandatory to report cases of disease to the database at the Ministry of Health; thus, data regarding the epidemiology and distribution of pulmonary disease&#x2019;s causation is inadequate in Kenya (
                <xref ref-type="bibr" rid="ref10">Jacqueline 
                    <italic toggle="yes">et al.</italic>, 2015</xref>). The decision to initiate treatment should be influenced by the severity of disease, the risk of progressive NTM-pulmonary disease, the presence of comorbidity and the goals of treatment. Decision to treat remains individualized with consultations and individuals may require a period of longitudinal assessment (symptoms, radiological change and mycobacterial culture results) to inform NTM treatment decisions. To determine the clinical relevance of NTM positive cultures, it is essential to distinguish transient or persistent colonization (which is usually not treated) from true infection (
                <xref ref-type="bibr" rid="ref2">Daley 
                    <italic toggle="yes">et al.</italic>, 2020</xref>). It&#x2019;s against this that the current study was undertaken to characterize the NTM</p>
        </sec>
        <sec id="sec2" sec-type="methods">
            <title>Methods</title>
            <sec id="sec3">
                <title>Ethical clearance</title>
                <p>This study was approved by Kenyatta National Hospital-University of Nairobi Ethics Review Committee (Ref:KNH-ERC/A/306) on September 14, 2020. Waiver for individual informed consent was granted as the study utilized remnant clinical samples and the research posed no greater than minimal risk to the study subjects.</p>
            </sec>
            <sec id="sec4">
                <title>Samples, processing, mycobacterial culture, and growth identification</title>
                <p>Sputum samples were collected in a leak proof container with a volume of &gt;3ml, which were labelled with client name, date of sample collection and client registration number. The samples were accompanied by a duly filled request form and transported in triple package which were received at the National Tuberculosis Reference Laboratory (NTRL)] underwent mycobacterial culture and identification procedures as described in NTRL standard operating procedures (SOP). Where sputum samples were decontaminated and digested using the N-acetyl-L-cysteine 2% NaOH (NALC-NaOH) procedure. Inoculation into mycobacteria growth indicator tube (MGIT) and Lowenstein-Jensen (LJ) media was done and incubated at 37&#x00b0;C. Growth monitoring for up to 6 and 8 weeks respectively, was done. At the same time, sputum smears were prepared, air dried, heat-fixed then fluorochrome stained with Auramine O. Appearance of mycobacteria as bright yellow fluorescent rods was definitive of correct diagnosis when viewed under a light-emitting diodes microscope. Upon thorough mixing, the tubes were centrifuged at 14,000g for five minutes. The supernatant was gathered in distinct 1.5ml tubes for onward processing. Culture growth in liquid and solid media went through MTB identification using Ag MPT64 assay (capilia), the positive ones were excluded in the study and the negative samples underwent ZN microscopy and presence of AFB indicating a possible NTM.</p>
            </sec>
            <sec id="sec5">
                <title>Extraction of DNA</title>
                <p>Mycobacterial DNA was extracted from 500 &#x03bc;L of re-suspended colonies using GenoLyse (Hain Lifescience, Nehren,Germany) (106477), according to the manufacturer&#x2019;s instructions. Briefly, 100ul of lysis buffer (A-LYS) was added to each cryovial containing the resuspended colonies and incubated for five minutes at 95&#x00b0;C after which 100ul neutralization buffer (A-NB) was added and centrifugation was done at 5000g for 10 minutes. The supernatant was transferred to a newly labeled cryovial awaiting PCR. A conventional PCR targeting the 
                    <italic toggle="yes">hsp65</italic> gene was conducted using the GoTaq Green Master Mix (Promega, Madison, Wisconsin, USA) in a final reaction volume of 13 &#x03bc;l comprising 6.25 &#x03bc;l of 2X GoTaq Hot Start Green Master Mix, 2.5 &#x03bc;l DNA template, 0.25 &#x03bc;l of each of both F-(5&#x2032;-ACCAACGATGGTGTGTCCAT-3&#x2032;) and R-(5&#x2032;-CTTGTCGAACCGCATACCCT-3&#x2032;) primers at a final concentration of 10 pmoles, and 3.75 &#x03bc;l of nuclease-free water to make up the reaction volume. Thermal cycling conditions were 1 cycle of 94&#x00b0;C for 4 min, 35 cycles of 94&#x00b0;C for 1 min, 57&#x00b0;C for 1 min, 72&#x00b0;C for 1 min and a final extension for 10 min at 72&#x00b0;C. Amplified products were confirmed on a 1% Agarose gel stained with 4.6 &#x03bc;l SYBR safe DNA stain (Invitrogen, Carlsbad, California, USA), and bands at 441 bp were observed in an Ultra Violet gel viewer. The PCR products were enzymatically purified using ExoSAP IT (Applied Biosystems, Foster City, California, USA). Purification conditions were 37&#x00b0;c for 15 min followed by a second incubation at 80&#x00b0;c for 15 min and a final cooling step at 4&#x00b0;C for 5 min.</p>
            </sec>
        </sec>
        <sec id="sec6" sec-type="results">
            <title>Results</title>
            <p>A total 24,549 records were reviewed. Of these, 167 (0.7%) NTMs were isolated (
                <xref ref-type="bibr" rid="ref12">Kamau, 2023</xref>). The highest isolation was among individual aged 35-44 years, (46/167, 27.5%). Males comprised 74.2% (124). The mean age (SD) was 42(16) years. The NTM were isolated in 65% (31/47) of the counties; Most samples came from Nairobi County at 12.6% (21/167), then Mombasa 10.8% (18/167), and Kilifi and Meru counties at 7.8% (13/167). HIV positivity rate of 27.5%(46/167). Most NTM were isolated from previously treated patients 63.5%(106/167), drug-resistant follow-up patients 26.9% (45/167) and New patients 9.6%(16/167) [
                <xref ref-type="table" rid="T1">Table 1</xref>]. Coinfection with NTM and HIV was at 27.5% (46/167).</p>
            <table-wrap id="T1" orientation="portrait" position="float">
                <label>Table 1. </label>
                <caption>
                    <title>Sociodemographic characteristics of patients with nontuberculous mycobacteria, Kenya 2018-2019.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Variables</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Participants 
                                <italic toggle="yes">(%)n</italic>
                            </th>
                            <th align="left" colspan="1" rowspan="1" valign="top">
                                <italic toggle="yes">&#x03c7;</italic>
                                <sup>2</sup>, 
                                <italic toggle="yes">p</italic>
                            </th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Age (years)</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2264;14</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.0(5)</td>
                            <td align="left" colspan="1" rowspan="7" valign="middle">
                                <bold>11.31, 0.334</bold>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">15-24</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">7.8(13)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">25-34</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">22.8(38)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">35-44</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">27.5(46)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">45-54</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">18.0(30)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">55-64</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">12.6(21)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">&#x2265;65</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">8.4(14)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Sub total</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>100(167)</bold>
                            </td>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Gender</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Male</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">74.2(124)</td>
                            <td colspan="1" rowspan="2"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Female</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">25.8(43)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Sub total</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>100(167)</bold>
                            </td>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Hiv status</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Negative</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">56.3(94)</td>
                            <td align="left" colspan="1" rowspan="3" valign="middle">
                                <bold>69.67, 0.184</bold>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Positive</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">27.5(46)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Not reported</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">16.2(27)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Sub total</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>100(167)</bold>
                            </td>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Type of patient</td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Previously treated</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">63.5(106)</td>
                            <td align="left" colspan="1" rowspan="3" valign="middle">
                                <bold>80.87, 0.744</bold>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">MDR/RR</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">26.9(45)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">New</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">9.6(16)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Sub total</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>100(167)</bold>
                            </td>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Counties</bold>
                            </td>
                            <td colspan="1" rowspan="1"/>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Nairobi</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">12.6(21)</td>
                            <td align="left" colspan="1" rowspan="31" valign="middle">
                                <bold>33.56, 0.299</bold>
                            </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Mombasa</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">10.8(18)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Kilifi</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">7.8(13)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Meru</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">7.8(13)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Murang'a</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">6.0(10)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Machakos</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">4.8(8)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Kitui</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">4.8(8)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Turkana</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">4.2(7)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">West Pokot</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">4.2(7)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Kirinyaga</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.0(5)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Nakuru</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.0(5)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Kisumu</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.0(5)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Makueni</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.0(5)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Laikipia</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.4(4)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Taita Taveta</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.4(4)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Kakamega</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.4(4)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Tharaka Nithi</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2.4(4)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Nyeri</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.8(3)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Kajiado</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.8(3)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Siaya</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.8(3)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Embu</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.2(2)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Nyandarua</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.2(2)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Kiambu</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.2(2)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Bomet</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.2(2)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Nandi</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.2(2)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Busia</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1.2(2)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Garissa</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.6(1)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Narok</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.6(1)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Baringo</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.6(1)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Migori</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.6(1)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">Trans Nzoia</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.6(1)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Sub total</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>100(167)</bold>
                            </td>
                            <td colspan="1" rowspan="1"/>
                        </tr>
                    </tbody>
                </table>
            </table-wrap>
            <p>A total of eleven NTM species were identified, with frequent ones being 
                <italic toggle="yes">Mycobacterium intracellulare at</italic> 35.3% (59/167), 
                <italic toggle="yes">M. fortuitum at</italic> 26.3% (44/167), and 
                <italic toggle="yes">M. scrofulaceum at</italic> 10.2% (17/167). Majority of NTM had a Smear outcome of No AFB seen [59.3%(99)], Smear 1+ [11.4%(19)], and smear 2+ [10.2%(17)] [
                <xref ref-type="table" rid="T2">Table 2</xref>].</p>
            <table-wrap id="T2" orientation="portrait" position="float">
                <label>Table 2. </label>
                <caption>
                    <title>Types of non-tuberculous species isolated microscopy concentrate outcome, Kenya 2018-2019.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">NTM species</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">No of species isolated 
                                <italic toggle="yes">%, n</italic>
                            </th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">M.intracellulare</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">35.3(59)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">M.fortuitum</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">26.3(44)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">M.scrofulaceum</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">10.2(17)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">M.kansasii</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">9.6(16)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">M.simiae</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">4.2(7)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">M.gordonae</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">4.2(7)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">M.avium</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.0(5)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">M.szulgai</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.0(5)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">M.abscessus</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3.0(5)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">M.asiaticum</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.6(1)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">M.lentiflavum</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">0.6(1)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Sub total</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>100(167)</bold>
                            </td>
                        </tr>
                    </tbody>
                </table>
                <table content-type="article-table" frame="hsides">
                    <thead>
                        <tr>
                            <th align="left" colspan="1" rowspan="1" valign="top">Smear concentrate</th>
                            <th align="left" colspan="1" rowspan="1" valign="top">Smear Outcome %, n</th>
                        </tr>
                    </thead>
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">NEG</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">59.3(99)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">1+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">11.4(19)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">2+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">10.2(17)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">3+</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">9.6(16)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">SCANTY</td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">29.6(16)</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>Sub total</bold>
                            </td>
                            <td align="left" colspan="1" rowspan="1" valign="middle">
                                <bold>100(167)</bold>
                            </td>
                        </tr>
                    </tbody>
                </table>
            </table-wrap>
        </sec>
        <sec id="sec7" sec-type="discussion">
            <title>Discussion</title>
            <p>Our study found that the prevalence of NTM was low AT [0.7%(167/24,549)] and most of the cases were males which was similar to study done by (
                <xref ref-type="bibr" rid="ref6">Fatima &amp; Nm, 2019</xref>) on prevalence of Nontuberculous Mycobacterial infection in Non-HIV subjects. The MAC complex is considered to be the most prevalent globally accounting for 86% (
                <xref ref-type="bibr" rid="ref19">Nishiuchi 
                    <italic toggle="yes">et al.</italic>, 2017</xref>). These findings are consistent with our study that isolated MAC species M.intracellulare [35.3 % (59/167), M.fortuitum 26.3% (44/167) M. scrofulaceum 10.2% (17/167), M.kansasii 9.6% (16/167)] [
                <xref ref-type="table" rid="T2">Table 2</xref>]. MAC species are frequently isolated in different environmental sources like water and soil and there is frequent contact with this sources thus increasing its infection to human (
                <xref ref-type="bibr" rid="ref21">van Ingen 
                    <italic toggle="yes">et al.</italic>, 2009</xref>). Similar findings from other countries have described isolation of MAC species (
                <xref ref-type="bibr" rid="ref17">Namkoong 
                    <italic toggle="yes">et al.</italic>, 2016</xref>; 
                <xref ref-type="bibr" rid="ref19">Nishiuchi 
                    <italic toggle="yes">et al.</italic>, 2017</xref>). Similar finding found out that 
                <italic toggle="yes">M. intracellulare</italic> was most prevalent (
                <xref ref-type="bibr" rid="ref4">Epola Dibamba Ndanga 
                    <italic toggle="yes">et al.</italic>, 2022</xref>). However, MAC was not reported as predominant in other settings i.e. South Pacifica where 
                <italic toggle="yes">M.fortuitum</italic> complex fewer cases were isolated; in India 
                <italic toggle="yes">M.fortuitum</italic> was predominant and MAC was not detected. The high infectivity rate of MAC species may be linked to their apparent abundance and distribution in many environmental sources such as water and soil, which increases the ease of dissemination and infection to people. MAC has been strongly linked to NTM Pulmonary Disease (NTMPD); nevertheless, it is unknown how its infectivity connects to NTMPD (
                <xref ref-type="bibr" rid="ref16">Mwangi 
                    <italic toggle="yes">et al.</italic>, 2021</xref>, 
                <xref ref-type="bibr" rid="ref15">2022</xref>).</p>
            <p>In our findings persons within the age group (35-44 years) were most affected. More males were affected suggesting that women could be having a protective effect due to the hormonal variation which triggers a response and clears the bacterial infection (
                <xref ref-type="bibr" rid="ref17">Namkoong 
                    <italic toggle="yes">et al.</italic>, 2016</xref>; 
                <xref ref-type="bibr" rid="ref11">Ji 
                    <italic toggle="yes">et al.</italic>, 2020</xref>).</p>
            <p>Pulmonary NTM were mostly found in patients who were previously treated for TB Most of the cases were HIV negative which was inconsistent with what has been reported previously (
                <xref ref-type="bibr" rid="ref20">Stepanyan 
                    <italic toggle="yes">et al.</italic>, 2019</xref>). In people with HIV/AIDS, NTM infections can occur in various parts of the body, including the lungs, lymph nodes, and skin. These infections can be severe and difficult to treat, especially if the immune system is severely compromised.</p>
            <p>Most NTM were isolated from of counties, leading county being Nairobi County with [12.6 %(21/167)], followed by Mombasa County and Kilifi and Meru County. These findings may be inconclusive on factors influencing the geographical distribution of NTM in the different geographical landscapes in Kenya, a more comprehensive study capturing both human and environmental particulars is required for a better understanding of environmental NTM species distribution. Differences in specific NTM species predominance in various environments may in part influence the frequency of pulmonary NTM disease in each geographical location.</p>
            <p>The presence of NTM among the presumptive cases poses a public health challenge and which potentially complicates TB diagnosis and management. The Division of National TB, Leprosy and Lung Diseases Program (DNTLD-P) should put NTM in planning the prevention and management of tuberculosis control, these findings are similar to a study done in Gabon (
                <xref ref-type="bibr" rid="ref4">Epola Dibamba Ndanga 
                    <italic toggle="yes">et al.</italic>, 2022</xref>).</p>
        </sec>
        <sec id="sec8" sec-type="conclusion">
            <title>Conclusion</title>
            <p>MAC was the most prevalent followed by 
                <italic toggle="yes">M.fortuitum</italic> and 
                <italic toggle="yes">M.scrofulaceum.</italic> Previously treated patients should have an additional screening of NTMS, and drug susceptibility testing should be done before initiation of treatment, additional screening of NTM&#x2019;s in should be done in males especially withiinthe age group of (35-44) years.</p>
            <sec id="sec9">
                <title>Limitation of the study</title>
                <p>The study lacked detailed patient history which hindered identification of clinically relevant NTM and association with NTM-Pulmonary disease. Despite the limitations the study was able to characterize the diversity of NTM</p>
            </sec>
        </sec>
    </body>
    <back>
        <sec id="sec12" sec-type="data-availability">
            <title>Data availability</title>
            <sec id="sec13">
                <title>Underlying data</title>
                <p>figshare: Non-Tuberculous Mycobacterium isolations from Tuberculosis presumptive cases at the National Tuberculosis Reference Laboratory Kenya, 2018 &#x2013;2019. 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.6084/m9.figshare.23498426.v1">https://doi.org/10.6084/m9.figshare.23498426.v1</ext-link> (
                    <xref ref-type="bibr" rid="ref12">Kamau, 2023</xref>).</p>
                <p>Data are available under the terms of the 
                    <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International license</ext-link> (CC-BY 4.0).</p>
            </sec>
        </sec>
        <ack>
            <title>Acknowledgments</title>
            <p>The authors wish to express their gratitude to all participants who took part in this study, grateful to National Public Health Laboratories- Kenya for granting the access to NTRL and conduct the research and appreciate the assistance accorded by the staffs in their technical support in preparation and analysis of samples in this study.</p>
        </ack>
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    <sub-article article-type="reviewer-report" id="report276826">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.148209.r276826</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Odeyemi</surname>
                        <given-names>Abiona Oluwadamilola</given-names>
                    </name>
                    <xref ref-type="aff" rid="r276826a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-1670-7321</uri>
                </contrib>
                <aff id="r276826a1">
                    <label>1</label>College of Health Sciences, Department of Medicine, Osun State University, Osogbo, Osun, Nigeria</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>6</day>
                <month>6</month>
                <year>2024</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2024 Odeyemi AO</copyright-statement>
                <copyright-year>2024</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="relatedArticleReport276826" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.135106.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>Overall, it was a good research.</p>
            <p> It was technically sound and exhibited originality.</p>
            <p> It was also well structured and it gave adequate detail as to how the organisms were isolated.</p>
            <p> I would have attached the PDF file of the manuscript with my comments so that my comments on some aspects of the manuscript can be seen 
                <ext-link ext-link-type="uri" xlink:href="http://&#x00a0;https://f1000research.s3.amazonaws.com/linked/652830.Additional_review_comments_by_reviewer_Abiona_Oluwadamilola_Odeyemi_%28F1000Research_article_135106%29.pdf">here</ext-link>.</p>
            <p> Thank you</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>Lung infection and lung function in people with chronic illnesses.</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="report246327">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.148209.r246327</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Meena</surname>
                        <given-names>Durga Shankar</given-names>
                    </name>
                    <xref ref-type="aff" rid="r246327a1">1</xref>
                    <role>Referee</role>
                </contrib>
                <aff id="r246327a1">
                    <label>1</label>All India Institute of Medical Sciences, Jodhpur, India</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>20</day>
                <month>3</month>
                <year>2024</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2024 Meena DS</copyright-statement>
                <copyright-year>2024</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="relatedArticleReport246327" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.135106.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>reject</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>1. In 'abstract' section, patient with negative AFB and MPT 64 ag were analysed? What about AFB +, gene Xpert negative patients? Many of such patients might belonged to NTM group.</p>
            <p> </p>
            <p> 2. Line "Nairobi had 12.6% (21/167), Mombasa 10.8% (18/167), Kilifi and Meru&#x00a0;each had 7.8% (13/167)." Please complete the sentence.</p>
            <p> </p>
            <p> 3. Conclusion of the abstract is not corroborative with objectives of study. It should be revised.</p>
            <p> </p>
            <p> 4. 'Introduction' last line - it seems unclear.</p>
            <p> </p>
            <p> 5. Methodology - Authors should clearly mention what were the inclusion and exclusion criteria for this study?</p>
            <p> </p>
            <p> 6. Results - Number of patients with HIV positivity and HIV coinfection both sentences are the same.</p>
            <p> </p>
            <p> 7. MAC was commonest species isolated. What were the possible factors for this? It should also be compared with other geographical/national prevalence.&#x00a0;</p>
            <p> </p>
            <p> 8. What was the proportion of MAC in HIV patients in this study? How many patients had previous tuberculosis? Any data on clinical profile of these patients? Mortality ? Outcomes?&#x00a0;</p>
            <p> </p>
            <p> 9. Please mention the proportion of rapid growers and slow grower NTM in this study.</p>
            <p> </p>
            <p> The major limitation of this study is lack of clinical data correlating to NTM isolation. Methodology is also unclear, how were these samples were selected for NTM isolation?</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Partly</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Not applicable</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>No</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Partly</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>No</p>
            <p>Reviewer Expertise:</p>
            <p>Infectious Diseases</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to state that I do not consider it to be of an acceptable scientific standard, for reasons outlined above.</p>
        </body>
        <sub-article article-type="response" id="comment11968-246327">
            <front-stub>
                <contrib-group>
                    <contrib contrib-type="author">
                        <name>
                            <surname>Kamau</surname>
                            <given-names>George</given-names>
                        </name>
                        <aff>{rgsppAwX[,P8?-k, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Nairobi County, Kenya</aff>
                    </contrib>
                </contrib-group>
                <author-notes>
                    <fn fn-type="conflict">
                        <p>
                            <bold>Competing interests: </bold>I do not have any competing interests</p>
                    </fn>
                </author-notes>
                <pub-date pub-type="epub">
                    <day>6</day>
                    <month>7</month>
                    <year>2024</year>
                </pub-date>
            </front-stub>
            <body>
                <p>I addressed all the reviews and recommendations made and sent a revised version</p>
            </body>
        </sub-article>
    </sub-article>
</article>
