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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Microbiol.</journal-id>
<journal-title>Frontiers in Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">1664-302X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmicb.2024.1398999</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Microbiology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Reduced bacillary load in elderly patients with active extrapulmonary and pulmonary tuberculosis in Peru: analysis of confirmatory culture after acid-fast bacilli test</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Moya-Salazar</surname> <given-names>Jeel</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Sam&#x00E1;n</surname> <given-names>Jonathan</given-names></name>
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<contrib contrib-type="author">
<name><surname>Pasco</surname> <given-names>Israel A.</given-names></name>
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<name><surname>Moya-Salazar</surname> <given-names>Marcia M.</given-names></name>
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<name><surname>Rojas-Zumaran</surname> <given-names>V&#x00ED;ctor</given-names></name>
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<name><surname>Contreras-Pulache</surname> <given-names>Hans</given-names></name>
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<aff id="aff1"><sup>1</sup><institution>Vicerrectorado de Investigaci&#x00F3;n, Universidad Norbert Wiener</institution>, <addr-line>Lima</addr-line>, <country>Peru</country></aff>
<aff id="aff2"><sup>2</sup><institution>CENEX, Hospital Nacional Hip&#x00F3;lito Unanue</institution>, <addr-line>Lima</addr-line>, <country>Peru</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Laboratory Medicine, Centro de Salud Hermita&#x00F1;o Bajo</institution>, <addr-line>Lima</addr-line>, <country>Peru</country></aff>
<aff id="aff4"><sup>4</sup><institution>Infectious Unit, Nesh Hubbs</institution>, <addr-line>Lima</addr-line>, <country>Peru</country></aff>
<aff id="aff5"><sup>5</sup><institution>Department of Pathology, Hospital Nacional Docente Madre-Ni&#x00F1;o San Bartolom&#x00E9;</institution>, <addr-line>Lima</addr-line>, <country>Peru</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Axel Cloeckaert, Institut National de Recherche pour L&#x2019;agriculture, L&#x2019;alimentation et L&#x2019;environnement (INRAE), France</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Guoliang Zhang, Shenzhen Third People&#x2019;s Hospital, China</p><p>Ikhwan Rinaldi, RSUPN Dr. Cipto Mangunkusumo, Indonesia</p><p>Johid Malik, University of Nebraska Medical Center, United States</p><p>Juraj Ivanyi, King&#x2019;s College London, United Kingdom</p><p>Emmanuel Babafemi, Liverpool John Moores University, United Kingdom</p></fn>
<corresp id="c001">&#x002A;Correspondence: Jeel Moya-Salazar, <email>jeel.moya@uwiener.edu.pe</email></corresp>
<corresp id="c002">Hans Contreras-Pulache, <email>hans.contreras@uwiener.edu.pe</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>14</day>
<month>11</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>15</volume>
<elocation-id>1398999</elocation-id>
<history>
<date date-type="received">
<day>09</day>
<month>04</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>29</day>
<month>08</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2024 Moya-Salazar, Sam&#x00E1;n, Pasco, Moya-Salazar, Rojas-Zumaran and Contreras-Pulache.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Moya-Salazar, Sam&#x00E1;n, Pasco, Moya-Salazar, Rojas-Zumaran and Contreras-Pulache</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Older adults with tuberculosis (TB) present unusual clinical features and can be challenging to diagnose. Culture after evaluation of sputum smear (AFB) may result in improved diagnosis performance, however it has not yet been evaluated in Peruvian older adults. We aimed to evaluate the diagnostic relation of TB culture after the AFB in patients aged &#x2265; 65 years derived for the diagnosis of pulmonary (PTB) and extra-pulmonary (EPTB) in Lima, Peru.</p>
</sec>
<sec>
<title>Methods</title>
<p>A cross-sectional study was developed in Lima, Peru, in order to evaluate the relationship of TB culture after AFB test in older adults (&#x2265; 65 years) during the PTB and EPTB diagnosis. The frequency of contaminated cultures and the discrepancies between the conventional AFB test and Ogawa-Kudoh culture were analyzed.</p>
</sec>
<sec>
<title>Results</title>
<p>Of the 10,461 sputum and 2,536 extrapulmonary samples analyzed during 2015&#x2013;2017, PTB was diagnosed in 282 (2.7%) and EPTB in 88 (3.5%), respectively. The performance of AFB in the diagnosis of PTB had a sensitivity of 78.2% and specificity of 99.8%. The performance of AFB in EPTB had a sensitivity of 45.5% and specificity of 99.9%. Negative AFB with positive culture was more frequent in &#x2265; 82 years (<italic>p</italic> = 0.031). We determined a good agreement in the diagnosis of PTB (&#x03BA; = 0.84) and moderate for EPTB (&#x03BA; = 0.55).</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Our findings suggest that diagnosis through culture should be performed after the AFB smear evaluation due to the moderate performance of AFB, especially in patients &#x2265; 82 years old.</p>
</sec>
</abstract>
<kwd-group>
<kwd>tuberculosis</kwd>
<kwd>aged</kwd>
<kwd>Ogawa</kwd>
<kwd>smear</kwd>
<kwd>extrapulmonary tuberculosis</kwd>
<kwd>Peru</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="69"/>
<page-count count="10"/>
<word-count count="7255"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Infectious Agents and Disease</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="intro">
<title>1 Introduction</title>
<p>For many centuries, tuberculosis (TB) has caused significant economic and social impacts worldwide, particularly in low-income countries where it remains one of the leading causes of mortality (<xref ref-type="bibr" rid="B65">World Health Organization, 2022</xref>). TB is a complex issue that requires the combined efforts of governments, the private sector, and civil society.</p>
<p>Peru is a middle-income country&#x2212;with more than 33 million inhabitants - that has a TB incidence of 87.6 per 100,000 inhabitants in 2017 (<xref ref-type="bibr" rid="B3">Alarc&#x00F3;n et al., 2017</xref>). Although the population is constantly exposed to this disease, there are risk groups such as prisoners, healthcare workers, patients with type 2 diabetes, and the elderly where the disease worsens (<xref ref-type="bibr" rid="B46">Rojas-Bolivar et al., 2018</xref>; <xref ref-type="bibr" rid="B62">Ugarte-Gil et al., 2021</xref>). Pulmonary TB (PTB) accounts for more than 80% of cases, with diagnosis primarily conducted through acid-fast bacilli (AFB) smear analysis and bacteriological culture (<xref ref-type="bibr" rid="B30">Ministerio de Salud, 2006</xref>, <xref ref-type="bibr" rid="B33">2023</xref>). Given the high incidence of this disease, it is crucial to prioritize accurate and rapid diagnostic methods that align with the community&#x2019;s reality (<xref ref-type="bibr" rid="B40">Pan-American Health Organization, 2013</xref>).</p>
<p>In Peru, it is estimated that there are around 4 million elderly people. The most common diseases in this population include hypertension, diabetes, and cardiovascular diseases (<xref ref-type="bibr" rid="B22">Instituto Nacional de Estad&#x00ED;stica e Inform&#x00E1;tica, 2020</xref>, <xref ref-type="bibr" rid="B21">2023</xref>). TB also affects the elderly, with a rate of approximately 120 cases per 100,000 people, and 11&#x2013;20% of these cases being new each year (<xref ref-type="bibr" rid="B3">Alarc&#x00F3;n et al., 2017</xref>; <xref ref-type="bibr" rid="B34">Ministerio de Salud, 2024</xref>). Diagnostic complications have been observed in elderly patients with TB that could interfere with the current diagnostic approach in Peru, focused on AFB smear analysis (<xref ref-type="bibr" rid="B31">Ministerio de Salud, 2018</xref>). The elderly population presents a different clinical profile with fewer evident symptoms, a distinct immune response to TB, and complex reactions to treatment due to physiological changes associated with aging. These factors pose challenges for diagnostic tests (<xref ref-type="bibr" rid="B60">Teo et al., 2023</xref>; <xref ref-type="bibr" rid="B50">Sharma et al., 2022</xref>; <xref ref-type="bibr" rid="B67">Yoshikawa and Rajagopalan, 2001</xref>), potentially leading to a lack of confirmed diagnoses in these patients.</p>
<p>The absence of culture confirmation in the majority of AFB-based studies hinders the ability to estimate test performance differences, which may affect diagnostic quality. Cross-contamination of cultures is a common error, estimated at 2% of all positive TB cultures, resulting in 9.2% of patients receiving false positive results and inadequate treatment (<xref ref-type="bibr" rid="B8">Barac et al., 2019</xref>). Additionally, previous reports have emphasized the importance of laboratory performance for PTB diagnosis (<xref ref-type="bibr" rid="B57">Symes et al., 2020</xref>; <xref ref-type="bibr" rid="B52">Silva et al., 2013</xref>; <xref ref-type="bibr" rid="B15">Cruz-Hervert et al., 2012</xref>; <xref ref-type="bibr" rid="B44">Rivas et al., 2010</xref>; <xref ref-type="bibr" rid="B67">Yoshikawa and Rajagopalan, 2001</xref>). However, the impact of diagnostic tests on extrapulmonary TB (EPTB) samples has not been thoroughly evaluated.</p>
<p>In the context of global aging, the elderly have a high mortality rate, poor clinical clarity in TB symptoms, and face limitations with current diagnostic methods. Thus, the diagnostic performance of AFB smear and culture should be carefully evaluated (<xref ref-type="bibr" rid="B54">Sood, 2000</xref>; <xref ref-type="bibr" rid="B42">Partridge et al., 2018</xref>; <xref ref-type="bibr" rid="B60">Teo et al., 2023</xref>; <xref ref-type="bibr" rid="B50">Sharma et al., 2022</xref>). Improving TB diagnostic programs for the elderly is essential, especially in countries with high TB prevalence and complex social, demographic, health access, and economic conditions (<xref ref-type="bibr" rid="B43">Purohit and Mustafa, 2015</xref>; <xref ref-type="bibr" rid="B14">Colegio M&#x00E9;dico del Per&#x00FA;, 2021</xref>; <xref ref-type="bibr" rid="B19">Huarachi et al., 2024</xref>).</p>
<p>We aimed to evaluate the diagnostic relation of TB culture after the evaluation of sputum smear (AFB) in older patients derived for the diagnosis of PTB and EPTB in Lima, Peru. We also determined the frequency of contaminated results by sex, age group, and treatment history.</p>
</sec>
<sec id="S2" sec-type="materials|methods">
<title>2 Materials and methods</title>
<sec id="S2.SS1">
<title>2.1 Study design and sample</title>
<p>This cross-sectional study was conducted at the Hip&#x00F3;lito Unanue National Hospital in Lima, Peru. The hospital is located in the Lima downtown, in the district of El Agustino (12&#x00B0;4&#x2032;0&#x2033;S, 77&#x00B0;1&#x2032;0&#x2033;W), one of the districts with a high incidence of TB, high poverty rates, and high population density (15,416.19 inhabitants/km<sup>2</sup>) (<xref ref-type="bibr" rid="B20">Instituto Nacional de Estad&#x00ED;stica e Inform&#x00E1;tica, 2015</xref>). The patients included in this study were all aged 65 years or older and resided in this district. All patients attending the TB Diagnostic Service had been referred by their treating physician after consultation to be included in the TB Control Program (PCT). This program has nationwide coverage to promote the prevention and control of TB, ensuring consistent diagnosis and treatment for both TB and non-TB patients.</p>
<p>We included patients over 65 years of age from both genders, from the PCT and outpatient clinics of the hospital, regardless of previous TB treatment history. Both pulmonary and extrapulmonary samples (i.e., cerebrospinal fluid) were included. Patients with extremely drug-resistant TB (XDR-TB) or multidrug-resistant TB (MDR-TB) were excluded to avoid bias in the interpretation of AFB smear and culture results. The clinical diagnosis for PTB involved identifying respiratory symptoms (i.e., cough) or a recent positive PPD test, abnormal chest X-ray findings, positive AFB smear, and initiating or controlling treatment according to the Peruvian treatment regimen (<xref ref-type="bibr" rid="B33">Ministerio de Salud, 2023</xref>).</p>
</sec>
<sec id="S2.SS2">
<title>2.2 TB diagnostic methods</title>
<p>All sputum and extrapulmonary samples were processed by the Microbiology Area team and the Research Department for TB diagnosis and treatment, following the hospital&#x2019;s bacteriological guidelines (<xref ref-type="bibr" rid="B49">Sequeira de Latini and Barrera, 2008</xref>; <xref ref-type="bibr" rid="B9">Barrera, 2008</xref>). The conventional AFB sputum test was performed by preparing a slide with the patient&#x2019;s sample and staining it with Ziehl-Neelsen following national guidelines (<xref ref-type="bibr" rid="B33">Ministerio de Salud, 2023</xref>). Cultures were performed on Ogawa-Kudoh agar (Merck, Darmstadt, Germany) in accordance with international quality standards (<xref ref-type="bibr" rid="B44">Rivas et al., 2010</xref>; <xref ref-type="bibr" rid="B49">Sequeira de Latini and Barrera, 2008</xref>; <xref ref-type="bibr" rid="B9">Barrera, 2008</xref>; <xref ref-type="bibr" rid="B5">Asencios et al., 2012</xref>; <xref ref-type="bibr" rid="B13">Clinical and Laboratory Standards Institute, 2008</xref>). Extrapulmonary specimens, such as gastric aspirate, feces, urine, and pleural fluid, were collected by hospital departments teams (i.e., gastroenterology) and promptly sent for laboratory analysis. These samples were also processed using smear microscopy and cultured on Ogawa-Kudoh agar.</p>
<p>As previously reported (<xref ref-type="bibr" rid="B37">Moya-Salazar et al., 2018</xref>), the evaluation of samples adheres to national quality regulations (<xref ref-type="bibr" rid="B32">Ministerio de Salud, 2020</xref>, <xref ref-type="bibr" rid="B33">2023</xref>). This ensures that processes are continuously monitored under protocols established by the National Institute of Health and the Ministry of Health of Peru (<xref ref-type="bibr" rid="B5">Asencios et al., 2012</xref>). By following these diagnostic and result interpretation guidelines, we minimize interpretation bias in AFB smears and acknowledge the limitations of culture results.</p>
</sec>
<sec id="S2.SS3">
<title>2.3 Confirmatory culture evaluation and data analysis</title>
<p>We analyzed all patients with discordant or concordant AFB and culture results (primarily AFB-negative with positive culture) and evaluated the frequency of contaminated results. To establish the relationship between results, they were categorized into the following groups:</p>
<list list-type="simple">
<list-item>
<label>1.</label>
<p>Sputum smear (AFB): paucibacillary results (AFB per 100x fields), one cross 1 (+), two crosses 2 (++), and three crosses 3 (+++).</p>
</list-item>
<list-item>
<label>2.</label>
<p>Culture: number of colonies grown in the medium (No. 1 to 19 colonies), one cross 1 (+), two crosses 2 (++), and three crosses 3 (+++).</p>
</list-item>
</list>
<p>All these results (PTB and EPTB) were coded from the hospital&#x2019;s data storage system (MS-Excel 2010, Redmond, US) into the data matrix (EPIDAT v4.1, Xunta de Galicia, Spain). We used descriptive statistics and non-parametric correlation between study variables, considering a 95% confidence interval (CI 95%) and a <italic>p</italic>-value &#x003C; 0.05 as statistically significant. To determine the performance of the AFB smear, diagnostic tests (sensitivity, specificity, Positive Predictive Value (PPV), Negative Predictive Value (NPV), accuracy, and Youden&#x2019;s Index) and the Receiver Operating Characteristic (ROC) curve were used. Statistical analysis was performed using the Statistical Package for the Social Sciences (SPSS) v25.0 (IBM, Armonk, US) and EPIDAT v4.1 for Windows.</p>
</sec>
<sec id="S2.SS4">
<title>2.4 Ethical aspects</title>
<p>We follow the Helsinki declaration guidelines (<xref ref-type="bibr" rid="B66">World Medical Association, 2013</xref>) and this study was approved by the IRB of the Universidad Norbert Wiener (Exp. N&#x00B0; 103-2017-UNW, March 12, 2017).</p>
</sec>
</sec>
<sec id="S3" sec-type="results">
<title>3 Results</title>
<sec id="S3.SS1">
<title>3.1 Descriptive results</title>
<p>Out of 31,819 patients, we enrolled 12,997 (45%) who were older than 65 years. The distribution by year was as follows: 4,136 (31.8%) patients in 2015, 4,511 (34.7%) in 2016, and 4,350 (33.5%) in 2017. The average age was 75 &#x00B1; 7.5 years (CI 95%, 75 to 75.3 years). Of these, 6,499 (50.1%) were women, with no significant age difference between genders (<italic>p</italic> = 0.101). Five patients (0.03%) had no recorded sex. We registered 10,357 (79.7%) patients without previous treatment, 1,942 (14.9%) with previous treatment, and 698 (5.4%) without registration (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Baseline characteristics of elderly patients (&#x2265; 65 years) with extra-pulmonary and pulmonary tuberculosis. Data in <italic>n</italic> (%).</p></caption>
<table cellspacing="5" cellpadding="5" frame="box" rules="all">
<thead>
<tr>
<td valign="top" align="center" colspan="2" style="color:#ffffff;background-color: #7f8080;">Characteristics</td>
<td valign="top" align="center" colspan="7" style="color:#ffffff;background-color: #7f8080;">Tuberculosis<xref ref-type="table-fn" rid="t1fn1">&#x00B6;</xref></td>
</tr>
<tr>
<td valign="top" align="left" colspan="2" style="color:#ffffff;background-color: #7f8080;"></td>
<td valign="top" align="center" colspan="2" style="color:#ffffff;background-color: #7f8080;">Normal</td>
<td valign="top" align="center" colspan="2" style="color:#ffffff;background-color: #7f8080;">PTB<xref ref-type="table-fn" rid="t1fns1">&#x002A;</xref></td>
<td valign="top" align="center" colspan="2" style="color:#ffffff;background-color: #7f8080;">EPTB<xref ref-type="table-fn" rid="t1fns1">&#x002A;</xref></td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">Total</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2" style="color:#ffffff;background-color: #7f8080;"></td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">61&#x2013;82</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">&#x2265; 82</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">61&#x2013;82</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">&#x2265; 82</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">61&#x2013;82</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;">&#x2265; 82</td>
<td valign="top" align="center" style="color:#ffffff;background-color: #7f8080;"></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="9" style="background-color: #dcdcdc;"><bold><italic>Study period</italic><xref ref-type="table-fn" rid="t1fnd1"><sup>&#x2020;</sup></xref></bold></td>
</tr>
<tr>
<td valign="top" align="left" rowspan="3"></td>
<td valign="top" align="center">2015</td>
<td valign="top" align="center">3104 (24)</td>
<td valign="top" align="center">846 (6.5)</td>
<td valign="top" align="center">76 (0.57)</td>
<td valign="top" align="center">33 (0.25)</td>
<td valign="top" align="center">26 (0.2)</td>
<td valign="top" align="center">11 (0.08)</td>
<td valign="top" align="center">4096 (31.5)</td>
</tr>
<tr>
<td valign="top" align="center">2016</td>
<td valign="top" align="center">3402 (26)</td>
<td valign="top" align="center">955 (7.3)</td>
<td valign="top" align="center">84 (0.65)</td>
<td valign="top" align="center">10 (0.08)</td>
<td valign="top" align="center">11 (0.08)</td>
<td valign="top" align="center">10 (0.08)</td>
<td valign="top" align="center">4472 (34.4)</td>
</tr>
<tr>
<td valign="top" align="center">2017</td>
<td valign="top" align="center">3314 (25)</td>
<td valign="top" align="center">896 (6.9)</td>
<td valign="top" align="center">64 (0.45)</td>
<td valign="top" align="center">15 (0.12)</td>
<td valign="top" align="center">19 (0.15)</td>
<td valign="top" align="center">11 (0.08)</td>
<td valign="top" align="center">4319 (33.2)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="9" style="background-color: #dcdcdc;"><bold><italic>Gender</italic></bold></td>
</tr>
<tr>
<td valign="top" align="left" rowspan="2"></td>
<td valign="top" align="center">Women</td>
<td valign="top" align="center">4897 (37.7)</td>
<td valign="top" align="center">1472 (11.3)</td>
<td valign="top" align="center">88 (0.7)</td>
<td valign="top" align="center">23 (0.18)</td>
<td valign="top" align="center">18 (0.14)</td>
<td valign="top" align="center">16 (0.12)</td>
<td valign="top" align="center">6514 (50.12)</td>
</tr>
<tr>
<td valign="top" align="center">Men</td>
<td valign="top" align="center">5014 (38.6)</td>
<td valign="top" align="center">1243 (9.6)</td>
<td valign="top" align="center">134 (1.03)</td>
<td valign="top" align="center">39 (0.3)</td>
<td valign="top" align="center">23 (0.18)</td>
<td valign="top" align="center">30 (0.23)</td>
<td valign="top" align="center">6483 (49.88)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="9" style="background-color: #dcdcdc;"><bold><italic>Treatment</italic></bold></td>
</tr>
<tr>
<td valign="top" align="left" rowspan="3"></td>
<td valign="top" align="center">BT<sup>&#x2021;</sup></td>
<td valign="top" align="center">1580 (12.2)</td>
<td valign="top" align="center">270 (1.6)</td>
<td valign="top" align="center">65 (0.5)</td>
<td valign="top" align="center">11 (0.08)</td>
<td valign="top" align="center">9 (0.07)</td>
<td valign="top" align="center">1 (0.008)</td>
<td valign="top" align="center">1936 (14.9)</td>
</tr>
<tr>
<td valign="top" align="center">NT</td>
<td valign="top" align="center">7819 (60.2)</td>
<td valign="top" align="center">2300 (17.7)</td>
<td valign="top" align="center">149 (1.15)</td>
<td valign="top" align="center">37 (0.28)</td>
<td valign="top" align="center">39 (0.3)</td>
<td valign="top" align="center">29 (0.22)</td>
<td valign="top" align="center">10373 (79.8)</td>
</tr>
<tr>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">503 (3.8)</td>
<td valign="top" align="center">158 (1.22)</td>
<td valign="top" align="center">17 (0.13)</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center">8 (0.06)</td>
<td valign="top" align="center">2 (0.015)</td>
<td valign="top" align="center">688 (5.3)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="9" style="background-color: #dcdcdc;"><bold><italic>Types of samples</italic></bold></td>
</tr>
<tr>
<td valign="top" align="left" rowspan="14"></td>
<td valign="top" align="center">Sputum</td>
<td valign="top" align="center">8117 (62.5)</td>
<td valign="top" align="center">2054 (15.8)</td>
<td valign="top" align="center">234 (1.8)</td>
<td valign="top" align="center">48 (0.36)</td>
<td valign="top" align="center">&#x2026;<xref ref-type="table-fn" rid="t1fns2">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">&#x2026;</td>
<td valign="top" align="center">10453 (80.4)</td>
</tr>
<tr>
<td valign="top" align="center">Gastric aspirate</td>
<td valign="top" align="center">457 (3.5)</td>
<td valign="top" align="center">310 (2.4)</td>
<td valign="top" align="center">&#x2026;</td>
<td valign="top" align="center">&#x2026;</td>
<td valign="top" align="center">16 (0.2)</td>
<td valign="top" align="center">15 (0.11)</td>
<td valign="top" align="center">798 (6.14)</td>
</tr>
<tr>
<td valign="top" align="center">Pleura liquid</td>
<td valign="top" align="center">300 (2.3)</td>
<td valign="top" align="center">111 (0.85)</td>
<td valign="top" align="center">&#x2026;</td>
<td valign="top" align="center">&#x2026;</td>
<td valign="top" align="center">3 (0.023)</td>
<td valign="top" align="center">2 (0.015)</td>
<td valign="top" align="center">416 (3.2)</td>
</tr>
<tr>
<td valign="top" align="center">Bronchial aspirate</td>
<td valign="top" align="center">383 (2.9)</td>
<td valign="top" align="center">117 (0.9)</td>
<td valign="top" align="center">&#x2026;</td>
<td valign="top" align="center">&#x2026;</td>
<td valign="top" align="center">18 (0.13)</td>
<td valign="top" align="center">9 (0.06)</td>
<td valign="top" align="center">527 (4)</td>
</tr>
<tr>
<td valign="top" align="center">Post. Bronchial aspirate</td>
<td valign="top" align="center">130 (1)</td>
<td valign="top" align="center">9 (0.06)</td>
<td valign="top" align="center">&#x2026;</td>
<td valign="top" align="center">&#x2026;</td>
<td valign="top" align="center">5 (0.03)</td>
<td valign="top" align="center">3 (0.023)</td>
<td valign="top" align="center">147 (1.13)</td>
</tr>
<tr>
<td valign="top" align="center">Urine</td>
<td valign="top" align="center">180 (1.38)</td>
<td valign="top" align="center">33 (0.25)</td>
<td valign="top" align="center">&#x2026;</td>
<td valign="top" align="center">&#x2026;</td>
<td valign="top" align="center">4 (0.03)</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center">217 (1.7)</td>
</tr>
<tr>
<td valign="top" align="center">Stool</td>
<td valign="top" align="center">76 (0.6)</td>
<td valign="top" align="center">16 (0.12)</td>
<td valign="top" align="center">&#x2026;</td>
<td valign="top" align="center">&#x2026;</td>
<td valign="top" align="center">1 (0.008)</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center">90 (0.7)</td>
</tr>
<tr>
<td valign="top" align="center">Tracheal aspirate</td>
<td valign="top" align="center">64 (0.5)</td>
<td valign="top" align="center">16 (0.12)</td>
<td valign="top" align="center">&#x2026;</td>
<td valign="top" align="center">&#x2026;</td>
<td valign="top" align="center">3 (0.023)</td>
<td valign="top" align="center">2 (0.015)</td>
<td valign="top" align="center">85 (0.6)</td>
</tr>
<tr>
<td valign="top" align="center">Cerebrospinal fluid</td>
<td valign="top" align="center">52 (0.4)</td>
<td valign="top" align="center">18 (0.13)</td>
<td valign="top" align="center">&#x2026;</td>
<td valign="top" align="center">&#x2026;</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center">70 (0.5)</td>
</tr>
<tr>
<td valign="top" align="center">Pericardium biopsy</td>
<td valign="top" align="center">10 (0.08)</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center">&#x2026;</td>
<td valign="top" align="center">&#x2026;</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center">10 (0.08)</td>
</tr>
<tr>
<td valign="top" align="center">Cervical abscess</td>
<td valign="top" align="center">9 (0.06)</td>
<td valign="top" align="center">1 (0.008)</td>
<td valign="top" align="center">&#x2026;</td>
<td valign="top" align="center">&#x2026;</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center">10 (0.08)</td>
</tr>
<tr>
<td valign="top" align="center">Endotracheal tube</td>
<td valign="top" align="center">8 (0.06)</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center">&#x2026;</td>
<td valign="top" align="center">&#x2026;</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center">8 (0.06)</td>
</tr>
<tr>
<td valign="top" align="center">Pericardial fluid</td>
<td valign="top" align="center">7 (0.05)</td>
<td valign="top" align="center">1 (0.008)</td>
<td valign="top" align="center">&#x2026;</td>
<td valign="top" align="center">&#x2026;</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center">1 (0.008)</td>
</tr>
<tr>
<td valign="top" align="center">Others</td>
<td valign="top" align="center">110 (0.8)</td>
<td valign="top" align="center">25 (0.2)</td>
<td valign="top" align="center">&#x2026;</td>
<td valign="top" align="center">&#x2026;</td>
<td valign="top" align="center">6 (0.05)</td>
<td valign="top" align="center">1 (0.008)</td>
<td valign="top" align="center">32 (0.24)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t1fn1"><p><sup>&#x00B6;</sup>All patients were subdivided into two age groups: first group of 65&#x2013;71 years, and second of &#x2265; 82 years.</p></fn>
<fn id="t1fns1"><p>&#x002A;Diagnosis with both AFB test and culture test are included.</p></fn>
<fn id="t1fnd1"><p><sup>&#x2020;</sup>The total of contaminated cultures pear year were excluded: 2015 (<italic>n</italic> = 40), 2016 (<italic>n</italic> = 39), and 2017 (<italic>n</italic> = 31).</p></fn>
<fn id="t1fns2"><p>&#x002A;&#x002A;Includes patients with previous diagnosis and treatment control. No samples are recorded. EPTB, Extra-pulmonary tuberculosis; PTB, Pulmonary tuberculosis; NT, Never treated; NR, No report.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Out of the 10,461 sputum samples analyzed, TB was diagnosed in 282 (2.7%) samples from patients aged &#x2265; 65 years with and without symptoms. In 2015, 3,311 (31.7%) sputum samples were evaluated, with 109 (1%) positive and 37 (0.4%) showing culture contamination. In 2016, 3,666 (35%) samples were evaluated, with 94 (0.9%) positive and 28 (2.5%) contaminated. In 2017, 3,484 (33.3%) sputum samples were evaluated, with 79 (0.8%) positive and 17 (0.2%) contaminated in the Ogawa culture.</p>
<p>Of the 2 536 extrapulmonary samples that were analyzed, TB was diagnosed in 88 (3.5%) samples from patients &#x2265; 65 years with and without symptoms. In 2015, 824 (32.5%) sputum samples were evaluated, with 37 (1.5%) testing positive and 40 (1.6%) showing culture contamination. In 2016, 845 (33.3%) samples were evaluated, with 21 (0.8%) testing positive and 39 (1.5%) contaminated. In 2017, 867 (34.2%) sputum samples were evaluated, 30 (1.2%) were positive and 31 (1.22%) were contaminated in the Ogawa culture.</p>
<p>A very good diagnostic agreement between AFB test and culture was determined for the diagnosis of PTB (&#x03BA; = 0.84, CI 95%, 0.79 to 0.89%) and moderate agreement for EPTB (&#x03BA; = 0.55, CI 95%, 0.25 to 0.86%).</p>
</sec>
<sec id="S3.SS2">
<title>3.2 Diagnostic performance of PTB</title>
<p>The diagnostic agreement of positive results in pulmonary samples was evidenced in 1.1% of sputum smears (111/10461). The average age of these patients was 70.5 &#x00B1; 6 (CI 95%, 69.3 to 71.7), where 45 were women and the history of previous treatment was not significant (<italic>p</italic> = 0.0334). We found that 0.05% of samples (5/10,461) presented positive sputum smears and negative culture results; all these samples were from women without prior treatment, with an average age of 72 &#x00B1; 7.1 years. Additionally, 0.1% (12/10,461) of sputum smears were negative, but culture-positive. Five of these samples were from women (72.2 &#x00B1; 6.5 years, CI 95%, 68.5 to 75.8), eight samples came from the Emergency Services, and only two had previous treatment.</p>
<p>In the sputum analysis, the proportion of false positives was 0.2% (CI 95%, 0.1 to 0.3), and the proportion of false negatives was 21.8% (CI 95%, 15.8 to 29.3). From the analysis of the AFB tests in PTB diagnosis we obtained a sensitivity of 78.2% (CI 95%, 70.7 to 84.2), a specificity of 99.8% (CI 95%, 99.7 to 99.9), a PPV of 91% (CI 95%, 84.6 to 94.9), to NPV of 99.6% (CI 95%, 99.4 to 99.7), an accuracy of 99.4% (CI 95%, 99.2 to 99.6), and a Youden&#x2019;s Index of 0.8 (<xref ref-type="fig" rid="F1">Figure 1A</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>Receiver operating characteristic (ROC) curves for AFB test on the diagnosis of pulmonary and extrapulmonary tuberculosis in elderly patients (&#x2265; 65 years) in Lima, Peru. <bold>(A)</bold> ROC curve for AFB test on the diagnosis of pulmonary tuberculosis. <bold>(B)</bold> ROC curve for AFB test on the diagnosis of extrapulmonary tuberculosis.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-15-1398999-g001.tif"/>
</fig>
</sec>
<sec id="S3.SS3">
<title>3.3 Diagnostic performance of EPTB</title>
<p>Concerning extrapulmonary samples, diagnostic agreement of positive results was evidenced in 0.24% of samples (12/2,536). The average age of these patients was 76.2 &#x00B1; 7 years (CI 95%, 70.1 to 82.3), with none having a history of treatment, and all samples being bronchial aspirates. Additionally, 0.07% (2/2,536) of samples had positive AFB but negative culture results. Conversely, 0.25% (6/2,536) of samples showed negative sputum smears but positive culture results. All these samples were bronchial aspirates, and one was from a woman (72 &#x00B1; 5.7 years, CI 95%, 67 to 77).</p>
<p>The analysis of extrapulmonary samples allowed us to estimate a false positive rate of 0.1% (CI 95%, 0.0% to 0.3%) and a false negative rate of 54.5% (CI 95%, 28% to 78.7%). The analysis of extrapulmonary samples allowed us to estimate a false positive rate of 0.1% (CI 95%, 0.0% to 0.3%) and a false negative rate of 54.5% (CI 95%, 28% to 78.7%). From the analysis of the AFB tests in EPTB diagnosis, we obtained a sensitivity of 45.5% (CI 95%, 21.3 to 72), a specificity of 99.9% (CI 95%, 99.7 to 100), a PPV of 71.4% (CI 95%, 35.9 to 91.8), an NPV of 99.8% (CI 95%, 99.5 to 99.9), an accuracy of 99.7% (CI 95%, 99.4 to 99.8), and a Youden&#x2019;s Index of 0.5 (<xref ref-type="fig" rid="F1">Figure 1B</xref>).</p>
</sec>
<sec id="S3.SS4">
<title>3.4 Contamination frequency</title>
<p>Regarding the results with contaminated culture, 40 (14.2%) sputum samples presented a contaminated result in 2015, one of which had a positive AFB result (2 + +) and a history of previous treatment. In 2016 and 2017 there were 39 (13.8%) and 31 (11%) sputum samples with contaminated culture, respectively. In the diagnosis of EPTB, 82 (29.1%) cases were recorded in total, with 12 (4.3%) contaminated cultures having positive sputum smears. No correlation was found between the contaminated cultures and the age of the patients (p = 0.573), nor with the history of previous treatment (<italic>p</italic> = 0.415) (<xref ref-type="fig" rid="F2">Figure 2</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p>Distribution of contaminated cultures of pulmonary and extrapulmonary tuberculosis samples of elderly patients. During the study period shows the significant difference between the samples with contaminated results between 2015 and 2017 and the difference between sputum and extrapulmonary samples of the year 2017 (<italic>n</italic> = 161).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-15-1398999-g002.tif"/>
</fig>
</sec>
<sec id="S3.SS5">
<title>3.4 Performance analysis by age group</title>
<p>The performance analysis of the AFB test was conducted in two age groups (65&#x2013;81 years and &#x2265; 82 years) for the diagnosis of PTB and EPTB. In the first group (65&#x2013;81 years), it was observed that 0.24% (24/10,201) presented AFB-negative results with a positive culture, and 0.1% (10/10,201) presented AFB-positive results with a negative culture. In the second group (&#x2265; 82 years), 0.25% (7/2,796) had AFB-negative results with a positive culture, and 0.07% (2/2,796) had AFB-positive results with a negative culture. Negative sputum smears were more frequent in the &#x2265; 82 years group (<italic>p</italic> = 0.031), resulting in a false-positive rate of 0.1% (CI 95%, 0.1 to 0.2) and a false-negative rate of 20.3% (CI 95%, 14.1 to 28.5). Additional data is shown in <xref ref-type="fig" rid="F3">Figure 3</xref>.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p>Diagnostic tests and analysis of the performance of the AFB test for the diagnosis of PTB in two age groups. The first group of 65&#x2013;81 years (71 &#x00B1; 5.2 years, CI95% 71 to 76) is shown in the violin below. The second group &#x2265; 82 years (85 &#x00B1; 7.8 years, CI95% 82 to 87.75) is shown in the violin above. PPV, Positive predictive value, NPV, Negative predictive value.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmicb-15-1398999-g003.tif"/>
</fig>
<p>For the diagnosis of EPTB, the same analysis could not be performed due to the limited number of viable samples. However, AFB-negative with positive culture results were observed only in the first group (6/13). In patients aged &#x2265; 82 years, only AFB-positive with positive culture results were evident (2/13). Of all AFB-negative with positive culture cases, only two patients had a history of previous treatment (2/167).</p>
</sec>
</sec>
<sec id="S4" sec-type="discussion">
<title>4 Discussion</title>
<p>This study evaluated the confirmatory culture of TB following the AFB test, demonstrating moderate performance of the sputum smear in Peruvian patients aged &#x2265; 65 years. Due to the high false-negative rate and low sensitivity of AFB, particularly in screening for EPTB, performing a culture is crucial to avoid diagnostic errors in elderly patients. Also, the rate of negative sputum smears with positive cultures was slightly higher in patients aged &#x2265; 82 years.</p>
<p>The performance of the AFB test was assessed based on diagnostic agreement and the rate of contaminated cultures. During PTB diagnosis, a high specificity for the AFB test was observed in sputum samples. Similarly, high specificity was noted in extrapulmonary samples. However, the diagnostic sensitivity was lower than 79% for PTB and less than 50% for EPTB screening, highlighting important limitations of this diagnostic test in primary healthcare settings (<xref ref-type="bibr" rid="B56">Sulis et al., 2016</xref>). Previous studies have reported different levels of diagnostic performance for the AFB test (<xref ref-type="bibr" rid="B57">Symes et al., 2020</xref>; <xref ref-type="bibr" rid="B41">Park et al., 2014</xref>; <xref ref-type="bibr" rid="B15">Cruz-Hervert et al., 2012</xref>; <xref ref-type="bibr" rid="B35">Monkongdee et al., 2009</xref>; <xref ref-type="bibr" rid="B17">Grupo de trabajo de expertos en tuberculosis, and Grupo de trabajo de Comunidades Aut&#x00F3;nomas, 2009</xref>). Its relevance is particularly evident in the diagnostic assessment of patients with previous treatment, where culture alone should not be the sole useful method for evaluating treatment efficacy (<xref ref-type="bibr" rid="B50">Sharma et al., 2022</xref>; <xref ref-type="bibr" rid="B57">Symes et al., 2020</xref>; <xref ref-type="bibr" rid="B17">Grupo de trabajo de expertos en tuberculosis, and Grupo de trabajo de Comunidades Aut&#x00F3;nomas, 2009</xref>; <xref ref-type="bibr" rid="B11">Caulfield and Wengenack, 2016</xref>).</p>
<p>The diagnostic concordance between AFB and culture was very low, with only 1.1% of sputum smears in pulmonary samples and 0.05% of extrapulmonary samples showed concordance. Despite the limited number of tests with available data, these showed moderate to very good agreement (<xref ref-type="fig" rid="F2">Figures 2</xref>, <xref ref-type="fig" rid="F3">3</xref>). This evaluation is influenced by multiple factors including specimen collection, the analytical process, the type of diagnostic method used, and the skill and specialization of health workers responsible for laboratory diagnosis (<xref ref-type="bibr" rid="B59">Teo et al., 2020</xref>; <xref ref-type="bibr" rid="B55">Ssengooba et al., 2012</xref>; <xref ref-type="bibr" rid="B1">Aber et al., 1980</xref>). It is important to consider elderly patients with previous treatment as they could skew the performance of the AFB smear test. However, none of the patients with EPTB analyzed had previous treatment, and for PTB, the two patients with previous treatment were not statistically significant. Therefore, our performance data are robust and free from biases that could hinder their interpretation.</p>
<p>Culturing <italic>Mycobacterium tuberculosis</italic> is essential as it provides a higher diagnostic yield, allows for the identification of the causative agent, and facilitates antimicrobial susceptibility testing. Several studies have demonstrated the high performance of Ogawa-Kudoh agar for isolating TB in sputum samples, significantly contributing to routine diagnostic processes (<xref ref-type="bibr" rid="B44">Rivas et al., 2010</xref>; <xref ref-type="bibr" rid="B52">Silva et al., 2013</xref>; <xref ref-type="bibr" rid="B2">Agapito et al., 2009</xref>; <xref ref-type="bibr" rid="B39">Palaci et al., 2013</xref>). However, the performance of this method depends on various factors such as the type of egg used, the type of sample cultivated, and the decontamination time of the samples (<xref ref-type="bibr" rid="B9">Barrera, 2008</xref>; <xref ref-type="bibr" rid="B2">Agapito et al., 2009</xref>; <xref ref-type="bibr" rid="B44">Rivas et al., 2010</xref>; <xref ref-type="bibr" rid="B5">Asencios et al., 2012</xref>; <xref ref-type="bibr" rid="B52">Silva et al., 2013</xref>; <xref ref-type="bibr" rid="B39">Palaci et al., 2013</xref>; <xref ref-type="bibr" rid="B53">Singhal et al., 2014</xref>; <xref ref-type="bibr" rid="B38">Noori et al., 2015</xref>).</p>
<p>Another factor that may influence performance is the composition of the medium (<xref ref-type="bibr" rid="B44">Rivas et al., 2010</xref>; <xref ref-type="bibr" rid="B49">Sequeira de Latini and Barrera, 2008</xref>; <xref ref-type="bibr" rid="B9">Barrera, 2008</xref>). Ogawa medium uses a base of dried egg and potato starch, whereas Lowenstein-Jensen medium is based on whole egg, glycerol, and mineral salts (<xref ref-type="bibr" rid="B26">Kim and Ryoo, 2011</xref>; <xref ref-type="bibr" rid="B28">Lubasi et al., 2004</xref>). Ogawa is quicker to prepare and less susceptible to contamination, while Lowenstein-Jensen provides a richer environment for bacterial growth (<xref ref-type="bibr" rid="B4">Ariami et al., 2018</xref>). Large-scale performance comparisons of these media are needed to determine which is better for elderly samples, which may be contaminated by hospital procedures (i.e., endotracheal intubation), have altered sample composition affecting culture outcomes, and may contain contaminants.</p>
<p>Furthermore, we investigated the rate of contaminated cultures in PTB screening and found that 14.2% presented contamination. This contamination rate is more than two times higher reported in previous studies, which range from 5.5% to 7% (<xref ref-type="bibr" rid="B68">Yvette et al., 1995</xref>; <xref ref-type="bibr" rid="B44">Rivas et al., 2010</xref>). Nonetheless, Ogawa agar has demonstrated a high diagnostic yield with a lower rate of contaminated cultures compared to the Lowenstein-Jensen medium (<xref ref-type="bibr" rid="B12">Ceyhan et al., 2012</xref>), using the N-acetyl-L-cysteine-sodium hydroxide decontamination technique (<xref ref-type="bibr" rid="B24">Jobarteh et al., 2017</xref>), and with modified Ogawa medium (<xref ref-type="bibr" rid="B28">Lubasi et al., 2004</xref>).</p>
<p>Extrapulmonary samples, especially stool samples, typically have higher contamination rates than pulmonary samples. However, in our study, the most frequent contaminated cultures were bronchial aspirate (4.6%), gastric aspirate (3.8%), tracheal aspirate (1.7%), and urine (1.1%). These results differ from previous reports and may explain the low frequency of contaminated cultures in comparison to sputum cultures (<xref ref-type="bibr" rid="B57">Symes et al., 2020</xref>; <xref ref-type="bibr" rid="B18">Houston and Macallan, 2014</xref>; <xref ref-type="bibr" rid="B7">Banta et al., 2020</xref>).</p>
<p>The lack of confirmation of TB cultivation in many studies may account for the differing findings related to the proportion of TB cases in the elderly compared to younger individuals (<xref ref-type="bibr" rid="B54">Sood, 2000</xref>; <xref ref-type="bibr" rid="B15">Cruz-Hervert et al., 2012</xref>; <xref ref-type="bibr" rid="B51">Shivam et al., 2014</xref>; <xref ref-type="bibr" rid="B6">Azadi et al., 2018</xref>). Although a lower frequency of positive smears has been reported in patients &#x2265; 65 years, our findings indicate a higher frequency of positive smears in patients aged 65 to 81 years compared to those older than 81 (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<p>In the other hand, another critical finding to emphasize is the proportion of false negatives observed in sputum smears (21.8%) and extrapulmonary samples (54.5%). As previously mentioned, the clinical presentation of TB in the elderly is highly heterogeneous. Assuming that over 20% of samples evaluated in these patients contain errors, the results could lead to loss of follow-up and control, and a resurgence of the disease in this population, which already faces high physiological, immunological, nutritional, and social risk factors (<xref ref-type="bibr" rid="B54">Sood, 2000</xref>; <xref ref-type="bibr" rid="B67">Yoshikawa and Rajagopalan, 2001</xref>; <xref ref-type="bibr" rid="B15">Cruz-Hervert et al., 2012</xref>; <xref ref-type="bibr" rid="B69">Zagaria, 2008</xref>; <xref ref-type="bibr" rid="B37">Moya-Salazar et al., 2018</xref>).</p>
<p>The analysis by age group revealed that the rate of sputum smear-negative with positive culture was significantly higher in patients aged &#x2265; 82 years with PTB. The concerning proportion of false negatives (20.3%) in this age group could lead to diagnostic errors, exposing patients to unnecessary risks, such as invasive investigations or loss of follow-up, thereby compromising prevention programs. This is particularly dangerous given the high comorbidity in the elderly (<xref ref-type="bibr" rid="B48">Schaaf et al., 2010</xref>; <xref ref-type="bibr" rid="B47">Salive, 2013</xref>). Recently, in Peru, it has been reported that 11&#x2013;20% of TB cases occur in people &#x2265; 65 years, primarily men (<xref ref-type="bibr" rid="B3">Alarc&#x00F3;n et al., 2017</xref>; <xref ref-type="bibr" rid="B34">Ministerio de Salud, 2024</xref>). For these patients, new diagnostic and therapeutic methods need to be evaluated according to social realities and age groups to ensure efficient management of older adults with TB (<xref ref-type="bibr" rid="B27">Lienhardt et al., 2016</xref>; <xref ref-type="bibr" rid="B37">Moya-Salazar et al., 2018</xref>).</p>
<p>Additionally, our diagnostic safety analysis revealed that the quality of results was suboptimal. For instance, the diagnosis of EPTB yielded only half the ideal value (Youden&#x2019;s J = 0.5). Due to the poor quality of samples and the challenges in obtaining and analyzing them solely with AFB, culture should be the cornerstone of the TB diagnosis algorithm in older patients. However, expanded testing by smear culture is recommended but challenging to implement in remote and impoverished areas. A more feasible method might be antibody serology, which has shown previous validation (<xref ref-type="bibr" rid="B23">Ivanyi, 2012</xref>; <xref ref-type="bibr" rid="B10">Bothamley et al., 1992</xref>). Other techniques include liquid culture and fluorescence analysis but are expensive for poor settings (). These need evaluation in a post-pandemic context, as COVID-19 has impacted the development of many diseases and shifted healthcare priorities (<xref ref-type="bibr" rid="B45">Robles et al., 2024</xref>; <xref ref-type="bibr" rid="B36">Moya-Salazar et al., 2024</xref>; <xref ref-type="bibr" rid="B16">Dutta et al., 2023</xref>; <xref ref-type="bibr" rid="B25">Khunti et al., 2022</xref>, <xref ref-type="bibr" rid="B64">World Health Organization, 2021</xref>). Despite this, governments have continued TB control programs worldwide (<xref ref-type="bibr" rid="B34">Ministerio de Salud, 2024</xref>; <xref ref-type="bibr" rid="B63">Williams et al., 2023</xref>). It is now crucial to leverage pandemic-era technological advances to enhance TB surveillance and ensure equitable access to care.</p>
<p>This study had limitations. (i) A larger sample size of older patients with EPTB should be evaluated to fully understand their clinical characteristics and their diagnostic patterns. Furthermore, it is crucial to evaluate whether patients over 81 years old are clinically different from those under 81 years old, as well as to compare these results with younger populations to identify differences in the development of AFB and culture for PTB and EPTB. (ii) The impact of the contaminated culture should be estimated due to processing errors. The impact of contaminated cultures should be estimated due to processing errors. In this study, 4.3% of contaminated cultures had positive sputum smears, creating uncertainty about the results and potentially affecting the prevention and treatment of patients with EPTB. (iii) Given Peru&#x2019;s high rates of MDR-TB (<xref ref-type="bibr" rid="B65">World Health Organization, 2022</xref>), similar studies should be conducted to assess the efficacy of diagnostic procedures for resistant isolates (MDR- and XDR-TB). In this study, such cases were excluded to avoid bias; however, their influence on performance, as previously reported in the adult population (<xref ref-type="bibr" rid="B58">Tanoue et al., 2002</xref>), should not be overlooked. (iv) We found that the older the patient, the higher the proportion of negative AFB smears. Multicenter and multiregional studies should be conducted in populations with similar TB incidence rates to accurately estimate AFB results and determine the need for culture in low-income primary health-care centers (<xref ref-type="bibr" rid="B29">Mamuye, 2012</xref>). Finally, (v) Other diagnostic methods, such as molecular tests and the Lowenstein-Jensen culture medium, should be compared to identify the most optimal diagnostic tests for elderly patients with PTB and EPTB (<xref ref-type="bibr" rid="B61">Thomas and Rajagopalan, 2001</xref>; <xref ref-type="bibr" rid="B48">Schaaf et al., 2010</xref>). Additionally, it is important to report a list of contaminants and disclose any specific microbial associations or mixtures responsible for the contamination of diagnostic samples.</p>
</sec>
<sec id="S5">
<title>5 Conclusions and future directions</title>
<p>The evaluation of confirmatory TB culture in pulmonary and extrapulmonary samples after AFB smear testing in elderly patients is essential due to the moderate performance of AFB, particularly in patients &#x2265; 82 years and in sputum samples. Diagnosing tuberculosis in the elderly poses a significant challenge for health systems globally, especially in regions where TB remains almost endemic. Recognizing the limitations of current diagnostic tests is crucial to proposing improvements in diagnostic processes within the framework of the global zero TB plan.</p>
<p>Future studies should investigate how the timing and schedule of TB treatment may influence the results of bacteriological tests. Additionally, analyzing the risk of infection transmission by patients with smear-negative and culture-positive pulmonary TB is imperative. These specific aspects of TB in the elderly may be key pieces in the puzzle of achieving successful diagnosis and effective treatment.</p>
</sec>
</body>
<back>
<sec id="S6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="S7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by the IRB of the Universidad Norbert Wiener (Exp. N&#x00B0; 103-2017-UNW, March 12, 2017). The participants provided written informed consent to participate in this study. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="S8" sec-type="author-contributions">
<title>Author contributions</title>
<p>JM-S: Writing &#x2013; review and editing, Writing &#x2013; original draft, Visualization, Software, Methodology, Investigation, Formal analysis, Data curation, Conceptualization. JS: Writing &#x2013; review and editing, Writing &#x2013; original draft, Resources, Methodology, Investigation, Data curation, Conceptualization. IP: Writing &#x2013; review and editing, Writing &#x2013; original draft, Visualization, Validation, Supervision, Resources, Investigation, Conceptualization. MM-S: Writing &#x2013; review and editing, Visualization, Validation, Methodology, Investigation, Formal analysis, Data curation. VR-Z: Writing &#x2013; review and editing, Software, Project administration, Methodology, Investigation, Data curation. HC-P: Writing &#x2013; review and editing, Visualization, Software, Project administration, Investigation, Formal analysis.</p>
</sec>
<sec id="S9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.</p>
</sec>
<ack><p>We thank to Paola Handal for the critical review of this study. Likewise, we thank the staff of CENEX of the Hipolito Unanue National Hospital for the facilities provided for the development of this study.</p>
</ack>
<sec id="S10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="S11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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