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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pharmacol.</journal-id>
<journal-title>Frontiers in Pharmacology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pharmacol.</abbrev-journal-title>
<issn pub-type="epub">1663-9812</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fphar.2017.00481</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pharmacology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Correlation of Proton Pump Inhibitors with Pulmonary Tuberculosis: A Case-Control Study in Taiwan</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Cheng</surname> <given-names>Kao-Chi</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn003"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/440993/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Liao</surname> <given-names>Kuan-Fu</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="author-notes" rid="fn003"><sup>&#x02020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Lin</surname> <given-names>Cheng-Li</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Lai</surname> <given-names>Shih-Wei</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/455334/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>College of Medicine, China Medical University</institution> <country>Taichung, Taiwan</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Family Medicine, China Medical University Hospital</institution> <country>Taichung, Taiwan</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Internal Medicine, Taichung Tzu Chi General Hospital</institution> <country>Taichung, Taiwan</country></aff>
<aff id="aff4"><sup>4</sup><institution>College of Medicine, Tzu Chi University</institution> <country>Hualien, Taiwan</country></aff>
<aff id="aff5"><sup>5</sup><institution>Graduate Institute of Integrated Medicine, China Medical University</institution> <country>Taichung, Taiwan</country></aff>
<aff id="aff6"><sup>6</sup><institution>Management Office for Health Data, China Medical University Hospital</institution> <country>Taichung, Taiwan</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Ruixin Zhu, Tongji University, China</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Mario M. D&#x00027;Elios, University of Florence, Italy; Gautham Yepuri, University of Fribourg, Switzerland</p></fn>
<fn fn-type="corresp" id="fn001"><p>&#x0002A;Correspondence: Shih-Wei Lai <email>wei&#x00040;mail.cmuh.org.tw</email></p></fn>
<fn fn-type="other" id="fn002"><p>This article was submitted to Gastrointestinal and Hepatic Pharmacology, a section of the journal Frontiers in Pharmacology</p></fn>
<fn fn-type="other" id="fn003"><p>&#x02020;These authors have contributed equally to this work.</p></fn></author-notes>
<pub-date pub-type="epub">
<day>19</day>
<month>07</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="collection">
<year>2017</year>
</pub-date>
<volume>8</volume>
<elocation-id>481</elocation-id>
<history>
<date date-type="received">
<day>29</day>
<month>05</month>
<year>2017</year>
</date>
<date date-type="accepted">
<day>04</day>
<month>07</month>
<year>2017</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2017 Cheng, Liao, Lin and Lai.</copyright-statement>
<copyright-year>2017</copyright-year>
<copyright-holder>Cheng, Liao, Lin and Lai</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) or licensor 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><p><bold>Background and Objectives:</bold> Although the relationship between the use of proton pump inhibitors (PPIs) and pulmonary tuberculosis (TB) in Taiwan published in 2014. Due to just only one article and not enough comprehensively, we explore this issue.</p>
<p><bold>Methods:</bold> We conducted a population-based case-control study to identify 9,422 subjects aged 20 years or older with newly diagnosed pulmonary TB in 2000&#x02013;2013 as test cases. We then randomly selected 9,422 subjects aged 20 years or older without pulmonary TB as controls. Both cases and controls were matched in terms of sex, age, and comorbidities. Use of PPIs were defined as subjects who had had at least one prescription for these medications before the index date. No use was defined as subjects who had never had a prescription for PPIs before the index date. The odds ratio (OR) and 95% confidence interval (CI) for pulmonary TB associated with PPI use was estimated using the logistic regression model.</p>
<p><bold>Results:</bold> The OR of pulmonary TB was 1.31 for subjects who had used PPIs (95% CI 1.22, 1.41) compared with those with no use of the medications. Sub-analysis revealed the OR of pulmonary TB in subjects using PPI per increasing microgram was 1.25 (95% CI 1.19, 1.30).</p>
<p><bold>Conclusions:</bold> PPI use is associated with a 1.3-fold increase in odds of developing pulmonary TB in Taiwan. There is a dose-related response between PPI use and pulmonary TB.</p></abstract>
<kwd-group>
<kwd>pulmonary tuberculosis</kwd>
<kwd>proton pump inhibitors</kwd>
<kwd>Taiwan National Health Insurance Program</kwd>
</kwd-group>
<counts>
<fig-count count="0"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="51"/>
<page-count count="6"/>
<word-count count="4586"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Gastric acid plays a major role in decontaminating the upper gastrointestinal tract. A review article published about 30 years ago sought to determine the relationship between gastric secretion and ingested organisms resulting in possible infection (Howden and Hunt, <xref ref-type="bibr" rid="B14">1987</xref>). Due to progress and recent advances in clinical pharmacology, acid-suppressive agents, including proton pump inhibitors (PPIs), have seen widespread use for treating peptic ulcers and acid reflux esophageal disease (Noguerado et al., <xref ref-type="bibr" rid="B39">2002</xref>; Strid et al., <xref ref-type="bibr" rid="B45">2003</xref>). Over the last 2&#x02013;3 decades, PPIs were common used for acid suppressive agents in primary and specialty care with excellent safety (Sheen and Triadafilopoulos, <xref ref-type="bibr" rid="B43">2011</xref>). A previous article revealed that PPIs appeared to be more effective than histamine 2 receptor antagonists (H2RAs) in preventing clinically important and overt upper gastrointestinal bleeding (Alhazzani et al., <xref ref-type="bibr" rid="B1">2013</xref>).</p>
<p>Previous studies have described the relationship between PPI use and several enteric infections, such as <italic>Salmonella enteritis</italic> and <italic>Clostridium difficile</italic> colitis (Dial et al., <xref ref-type="bibr" rid="B9">2005</xref>; Rodr&#x000ED;guez et al., <xref ref-type="bibr" rid="B41">2007</xref>), including spontaneous bacterial peritonitis in severe cirrhotic patients (Bajaj et al., <xref ref-type="bibr" rid="B2">2009</xref>). Several research works have indicated that, besides the gastrointestinal system, PPIs are positively associated with infections of the respiratory system, such as community- or hospital-acquired pneumonia (Gulmez et al., <xref ref-type="bibr" rid="B12">2007</xref>; Sarkar et al., <xref ref-type="bibr" rid="B42">2008</xref>; Jager et al., <xref ref-type="bibr" rid="B23">2012</xref>). However, few studies have indicated whether this association was related to low-dose or short-term PPI use (Giuliano et al., <xref ref-type="bibr" rid="B11">2012</xref>; Filion et al., <xref ref-type="bibr" rid="B10">2013</xref>). In addition to hospital- or community-acquired pneumonia, <italic>Mycobacterium tuberculosis</italic> (TB)-associated infection exerts significant burdens on the health-care systems of developing countries, including Taiwan (Hsueh et al., <xref ref-type="bibr" rid="B18">2006</xref>).</p>
<p>Previous articles discussing the association between pulmonary TB and any degree of gastrectomy are scarce, and most of them do not include up-to-date technologies and true mechanism (Boman, <xref ref-type="bibr" rid="B3">1956</xref>; Thorn et al., <xref ref-type="bibr" rid="B46">1956</xref>). To date, the real role of gastric acid in pulmonary TB patients remains unknown. Although the relationship between the use of PPIs and pulmonary tuberculosis (TB) in Taiwan, similar to our study, published in 2014 (Hsu et al., <xref ref-type="bibr" rid="B17">2014</xref>). Due to just only one article and not enough comprehensively (just focused on prescription period of PPIs only), we utilized the Taiwan National Health Insurance Program database to plan and conduct this study for exploring the associations completely and definitely.</p>
</sec>
<sec sec-type="methods" id="s2">
<title>Methods</title>
<sec>
<title>Data source</title>
<p>Taiwan is an independent country with a population of over 23 million (Chao et al., <xref ref-type="bibr" rid="B4">2015</xref>; Chen et al., <xref ref-type="bibr" rid="B5">2015</xref>; Ho and Chang, <xref ref-type="bibr" rid="B13">2015</xref>; Hsiao et al., <xref ref-type="bibr" rid="B15">2015</xref>; Hung and Ku, <xref ref-type="bibr" rid="B20">2015</xref>; Lin and Lin, <xref ref-type="bibr" rid="B36">2016</xref>; Lin et al., <xref ref-type="bibr" rid="B34">2016a</xref>; Maa and Leu, <xref ref-type="bibr" rid="B37">2016</xref>; Ooi, <xref ref-type="bibr" rid="B40">2016</xref>; Yu et al., <xref ref-type="bibr" rid="B51">2016</xref>). We conducted a population-based case-control study using data from the Taiwan National Health Insurance Program. This insurance program was established in March 1995 and covers 99% of Taiwan&#x00027;s population (National Health Insurance Research Database, <xref ref-type="bibr" rid="B38">2017</xref>). Details of this program can be found in previous studies (Lai et al., <xref ref-type="bibr" rid="B28">2010</xref>, <xref ref-type="bibr" rid="B25">2012</xref>; Hung et al., <xref ref-type="bibr" rid="B22">2011</xref>; Cheng et al., <xref ref-type="bibr" rid="B7">2012</xref>; Tsai et al., <xref ref-type="bibr" rid="B47">2016</xref>). The present study was approved by the Research Ethics Committee of China Medical University (CMUH-104-REC2-115).</p>
</sec>
<sec>
<title>Participants</title>
<p>We identified subjects aged 20 years or older with newly diagnosed pulmonary TB (International Classification of Diseases, Ninth Revision, Clinical Modification, ICD-9 codes 010, 011, 012, and 018) from 2000 to 2013 as test cases. The date of pulmonary TB diagnosis was defined as the index date. Subjects who were not diagnosed with pulmonary TB were randomly selected from the same database as controls. Both cases and controls were matched in terms of sex, age (5-year intervals), and comorbidities.</p>
</sec>
<sec>
<title>Comorbidities potentially related to pulmonary PT</title>
<p>Comorbidities that could potentially be related to pulmonary TB, including alcohol-related diseases, asbestosis, chronic kidney disease, chronic obstructive pulmonary disease, diabetes mellitus, human immunodeficiency virus infection, gastrectomy, pneumoconiosis, splenectomy, and chronic liver diseases, such as cirrhosis, hepatitis B infection, hepatitis C infection, and other forms of chronic hepatitis, were assessed. All comorbidities were diagnosed with ICD-9 codes. The accuracy of these codes has been examined in previous studies (Lai et al., <xref ref-type="bibr" rid="B26">2013a</xref>,<xref ref-type="bibr" rid="B27">b</xref>, <xref ref-type="bibr" rid="B30">2014a</xref>,<xref ref-type="bibr" rid="B31">b</xref>, <xref ref-type="bibr" rid="B29">2017</xref>; Hung et al., <xref ref-type="bibr" rid="B21">2016</xref>; Lai, <xref ref-type="bibr" rid="B24">2016</xref>; Lin et al., <xref ref-type="bibr" rid="B34">2016a</xref>, <xref ref-type="bibr" rid="B35">2016b</xref>; Shen et al., <xref ref-type="bibr" rid="B44">2016</xref>; Hsu et al., <xref ref-type="bibr" rid="B16">2017</xref>; Liao et al., <xref ref-type="bibr" rid="B32">2017a</xref>,<xref ref-type="bibr" rid="B33">b</xref>).</p>
</sec>
<sec>
<title>Measurements of PPI and H2RA use</title>
<p>The PPIs available in Taiwan between 2000 and 2013 and considered in this study included esomeprazole, lansoprazole, omeprazole, pantoprazole, and rabeprazole. Patients&#x00027; prescription histories of PPIs and H2RAs were included in this study. Use of medications was defined as prescription any of the medications studied in this work before the index date. No use of medication was defined as no history of prescription of any of the medications studied in this work before the index date.</p>
</sec>
<sec>
<title>Statistical analysis</title>
<p>We compared the distributions of demographic status, PPI use, H2RA use, and comorbidities between cases and controls using the chi-squared test for categorized variables. The <italic>t</italic>-test was used to test differences in mean age and mean duration of exposure to PPIs between cases and controls. The univariable unconditional logistic regression model was used to measure odds ratios (ORs) and 95% confidence intervals (CIs) and determine the association between pulmonary TB and PPI use. We also analyzed dose-related responses to PPI use. All analyzes were performed using SAS software (version 9.2; SAS Institute, Inc., Cary, NC, USA), and results were considered statistically significant when two-tailed <italic>P</italic>-values were &#x0003C; 0.05.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Characteristics of the study population</title>
<p>As shown in Table <xref ref-type="table" rid="T1">1</xref>, we identified 9,422 cases with newly diagnosed pulmonary TB between 2000 and 2013 and 9,422 controls without the disease. Both cases and controls showed similar distributions of sex and age. The mean ages (standard deviation) of patients with and without primary TB were 59.6 (17.1) years and 59.5 (17.1) years, respectively, and these values did not show statistical significance (<italic>t</italic>-test, <italic>P</italic> &#x0003D; 0.8). The mean durations of PPI use (standard deviation) of cases and controls were 3.19 (5.96) and 3.49 (6.06) months, respectively; these values did not show statistical significance (<italic>t</italic>-test, <italic>P</italic> &#x0003D; 0.13). While cases with pulmonary TB were more likely to report PPI use than controls (22.3 vs. 18%, chi-square test, <italic>P</italic> &#x0003C; 0.001), no significant difference in H2RA use or other comorbidities was observed between cases and controls (Chi-square test, <italic>P</italic> &#x0003E; 0.05).</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Information and comorbidities between pulmonary tuberculosis cases and controls.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Variable</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Non-tuberculosis</bold> <italic><bold>N</bold></italic> &#x0003D; <bold>9422</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Tuberculosis</bold> <italic><bold>N</bold></italic> &#x0003D; <bold>9422</bold></th>
<th valign="top" align="center"><bold><italic>P</italic>-value<xref ref-type="table-fn" rid="TN1"><sup>&#x0002A;</sup></xref></bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold><italic>n</italic></bold></th>
<th valign="top" align="center"><bold>%</bold></th>
<th valign="top" align="center"><bold><italic>n</italic></bold></th>
<th valign="top" align="center"><bold>%</bold></th>
<th/>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Sex</td>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">0.88</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Female</td>
<td valign="top" align="center">3,000</td>
<td valign="top" align="center">31.8</td>
<td valign="top" align="center">3,010</td>
<td valign="top" align="center">31.9</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Male</td>
<td valign="top" align="center">6,422</td>
<td valign="top" align="center">68.2</td>
<td valign="top" align="center">6,412</td>
<td valign="top" align="center">68.1</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Age group (years)</td>
<td/>
<td/>
<td/>
<td/>
<td valign="top" align="center">0.99</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;20&#x02013;39</td>
<td valign="top" align="center">1,551</td>
<td valign="top" align="center">16.4</td>
<td valign="top" align="center">1,549</td>
<td valign="top" align="center">16.4</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;40&#x02013;64</td>
<td valign="top" align="center">3,474</td>
<td valign="top" align="center">36.9</td>
<td valign="top" align="center">3,472</td>
<td valign="top" align="center">36.9</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;65&#x02013;84</td>
<td valign="top" align="center">4,397</td>
<td valign="top" align="center">46.7</td>
<td valign="top" align="center">4,401</td>
<td valign="top" align="center">46.7</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Age (years), mean (standard deviation)<xref ref-type="table-fn" rid="TN2"><sup>&#x02020;</sup></xref></td>
<td valign="top" align="center">59.5</td>
<td valign="top" align="center">(17.1)</td>
<td valign="top" align="center">59.6</td>
<td valign="top" align="center">(17.1)</td>
<td valign="top" align="center">0.8</td>
</tr>
<tr>
<td valign="top" align="left">Duration of exposure to proton pump inhibitors (months), mean (standard deviation)<xref ref-type="table-fn" rid="TN2"><sup>&#x02020;</sup></xref></td>
<td valign="top" align="center">3.49</td>
<td valign="top" align="center">(6.06)</td>
<td valign="top" align="center">3.19</td>
<td valign="top" align="center">(5.96)</td>
<td valign="top" align="center">0.13</td>
</tr>
<tr>
<td valign="top" align="left">Ever use of proton pump inhibitors</td>
<td valign="top" align="center">1,694</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">2,102</td>
<td valign="top" align="center">22.3</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Ever use of histamine-2 receptor antagonists</td>
<td valign="top" align="center">371</td>
<td valign="top" align="center">3.94</td>
<td valign="top" align="center">346</td>
<td valign="top" align="center">3.67</td>
<td valign="top" align="center">0.34</td>
</tr>
<tr>
<td valign="top" align="left" colspan="6" style="background-color:#bbbdc0"><bold>COMORBIDITIES</bold></td>
</tr>
<tr>
<td valign="top" align="left">Alcohol-related disease</td>
<td valign="top" align="center">717</td>
<td valign="top" align="center">7.61</td>
<td valign="top" align="center">745</td>
<td valign="top" align="center">7.91</td>
<td valign="top" align="center">0.45</td>
</tr>
<tr>
<td valign="top" align="left">Asbestosis</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">0.99</td>
</tr>
<tr>
<td valign="top" align="left">Chronic liver disease</td>
<td valign="top" align="center">1,637</td>
<td valign="top" align="center">17.4</td>
<td valign="top" align="center">1,674</td>
<td valign="top" align="center">17.8</td>
<td valign="top" align="center">0.48</td>
</tr>
<tr>
<td valign="top" align="left">Chronic obstructive pulmonary disease</td>
<td valign="top" align="center">4,111</td>
<td valign="top" align="center">43.6</td>
<td valign="top" align="center">4,136</td>
<td valign="top" align="center">43.9</td>
<td valign="top" align="center">0.71</td>
</tr>
<tr>
<td valign="top" align="left">Chronic kidney disease</td>
<td valign="top" align="center">459</td>
<td valign="top" align="center">4.87</td>
<td valign="top" align="center">468</td>
<td valign="top" align="center">4.97</td>
<td valign="top" align="center">0.76</td>
</tr>
<tr>
<td valign="top" align="left">Diabetes mellitus</td>
<td valign="top" align="center">1,433</td>
<td valign="top" align="center">15.2</td>
<td valign="top" align="center">1,477</td>
<td valign="top" align="center">15.7</td>
<td valign="top" align="center">0.38</td>
</tr>
<tr>
<td valign="top" align="left">Human immunodeficiency virus infection</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">0.22</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">0.22</td>
<td valign="top" align="center">0.99</td>
</tr>
<tr>
<td valign="top" align="left">Gastrectomy</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">0.1</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">0.1</td>
<td valign="top" align="center">0.99</td>
</tr>
<tr>
<td valign="top" align="left">Pneumoconiosis</td>
<td valign="top" align="center">87</td>
<td valign="top" align="center">0.92</td>
<td valign="top" align="center">75</td>
<td valign="top" align="center">0.80</td>
<td valign="top" align="center">0.34</td>
</tr>
<tr>
<td valign="top" align="left">Splenectomy</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.02</td>
<td valign="top" align="center">0.99</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>Data are presented as the number of subjects in each group with percentages given in parentheses, or mean with standard deviation given in parentheses</italic>.</p>
<fn id="TN1">
<label>&#x0002A;</label>
<p><italic>Chi-square test, and</italic></p></fn>
<fn id="TN2">
<label>&#x02020;</label>
<p><italic>t-test comparing subjects with and without pulmonary tuberculosis</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Pulmonary tuberculosis associated with proton pump inhibitor use</title>
<p>In Table <xref ref-type="table" rid="T2">2</xref>, analyzes using the univariable unconditional logistic regression model showed that that the OR of pulmonary TB was 1.31 for subjects who had used PPIs (95% CI 1.22, 1.41) compared with subjects who had never used PPIs. Because no other variable was significantly related to pulmonary TB during univariable analysis, we did not perform multivariable unconditional logistic regression analysis.</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Odds ratio and 95% confidence interval of pulmonary tuberculosis associated with proton pump inhibitors use and comorbidities.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Variable</bold></th>
<th valign="top" align="center" colspan="2" style="border-bottom: thin solid #000000;"><bold>Crude</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>OR</bold></th>
<th valign="top" align="center"><bold>(95%CI)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Sex (male vs. female)</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">(0.94, 1.06)</td>
</tr>
<tr>
<td valign="top" align="left">Age (per 1 year)</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">(0.99, 1.00)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3" style="background-color:#bbbdc0"><bold>PROTON PUMP INHIBITORS (NEVER USE AS A REFERENCE)</bold></td>
</tr>
<tr>
<td valign="top" align="left">Ever use</td>
<td valign="top" align="center">1.31</td>
<td valign="top" align="center">(1.22, 1.41)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3" style="background-color:#bbbdc0"><bold>HISTAMINE-2 RECEPTOR ANTAGONISTS (NEVER USE AS A REFERENCE)</bold></td>
</tr>
<tr>
<td valign="top" align="left">Ever use</td>
<td valign="top" align="center">0.93</td>
<td valign="top" align="center">(0.80, 1.08)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3" style="background-color:#bbbdc0"><bold>COMORBIDITIES (YES VS. NO)</bold></td>
</tr>
<tr>
<td valign="top" align="left">Alcohol-related disease</td>
<td valign="top" align="center">1.04</td>
<td valign="top" align="center">(0.94, 1.16)</td>
</tr>
<tr>
<td valign="top" align="left">Asbestosis</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">(0.06, 16.0)</td>
</tr>
<tr>
<td valign="top" align="left">Chronic liver disease</td>
<td valign="top" align="center">1.03</td>
<td valign="top" align="center">(0.95, 1.11)</td>
</tr>
<tr>
<td valign="top" align="left">Chronic obstructive pulmonary disease</td>
<td valign="top" align="center">1.01</td>
<td valign="top" align="center">(0.95, 1.07)</td>
</tr>
<tr>
<td valign="top" align="left">Chronic kidney disease</td>
<td valign="top" align="center">1.02</td>
<td valign="top" align="center">(0.89, 1.17)</td>
</tr>
<tr>
<td valign="top" align="left">Diabetes mellitus</td>
<td valign="top" align="center">1.04</td>
<td valign="top" align="center">(0.96, 1.12)</td>
</tr>
<tr>
<td valign="top" align="left">Human immunodeficiency virus infection</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">(0.55, 1.83)</td>
</tr>
<tr>
<td valign="top" align="left">Gastrectomy</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">(0.40, 2.52)</td>
</tr>
<tr>
<td valign="top" align="left">Pneumoconiosis</td>
<td valign="top" align="center">0.86</td>
<td valign="top" align="center">(0.63, 1.17)</td>
</tr>
<tr>
<td valign="top" align="left">Splenectomy</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">(0.14, 7.10)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>CI: confidence interval</italic>.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Sub-analysis of the association between pulmonary tuberculosis and five proton pump inhibitors</title>
<p>Table <xref ref-type="table" rid="T3">3</xref> shows an analysis of the dose-related responses to PPI use; here, the group with no PPI use was considered the reference group. The OR of pulmonary TB in subjects using PPI per increasing microgram was 1.25 (95% CI 1.19, 1.30). These results indicate a dose-related response between PPI use and pulmonary TB.</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Odds ratio and 95% confidence interval of pulmonary tuberculosis in relation to cumulative dosage of proton pump inhibitors use by logistical regression model.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Variable</bold></th>
<th valign="top" align="center"><bold>Case number/control number</bold></th>
<th valign="top" align="center"><bold>Crude OR</bold></th>
<th valign="top" align="center"><bold>(95% CI)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Never use of proton pump inhibitors as a reference</td>
<td valign="top" align="center">7320/7728</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="center">(reference)</td>
</tr>
<tr>
<td valign="top" align="left">Proton pump inhibitors use (increase in dosage per mg)</td>
<td valign="top" align="center">2102/1694</td>
<td valign="top" align="center">1.25</td>
<td valign="top" align="center">(1.19, 1.30)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>CI: confidence interval</italic>.</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>PPIs have been commonly prescribed to patients with upper gastrointestinal tract bleeding or acid reflux-associated diseases in the last two decades (Hsu et al., <xref ref-type="bibr" rid="B17">2014</xref>). These medications feature an excellent safety profile, and their benefits outweigh their risks in most patients worldwide (Sheen and Triadafilopoulos, <xref ref-type="bibr" rid="B43">2011</xref>). Patients began using PPIs for extended periods of time without considering appropriate indications for primary and specialty care. This problem has intensified in Taiwan, especially in the last two decades (Chen et al., <xref ref-type="bibr" rid="B6">2003</xref>). Achlorhydric stomach is usually accompanied by a weak protective mechanism for ingested organisms, which could bring about gastrointestinal (Howden and Hunt, <xref ref-type="bibr" rid="B14">1987</xref>; Williams and McColl, <xref ref-type="bibr" rid="B49">2006</xref>) and respiratory infections, such as hospital- or community-acquired pneumonia.</p>
<p>Although previous published article in 2014 associated with Taiwan general PPIs user populations and pulmonary TB patients had similar study design and article structure compared with ours (Hsu et al., <xref ref-type="bibr" rid="B17">2014</xref>). Their result revealed that the relationship between PPIs and pulmonary TB patients became gradually faded when the drug prescription period extended. But in our study, we found that cases with pulmonary TB were more likely to have used PPIs only than controls without the disease. General speaking, the relationship between PPIs (accumulative dose) and pulmonary TB is positive in our study, but negative in theirs (accumulative time). Because of the different results in prescription period or accumulative dosage between both of them, we planned and conducted our study for further investigation. This finding in our study may be explained by several hypotheses as follows.</p>
<p>First, long-term PPI use may weaken the protective mechanism of the stomach because PPIs inhibit gastric secretion. While the acidic environment of the stomach is generally free from bacteria (Vakil, <xref ref-type="bibr" rid="B48">2009</xref>), bacterial colonies gradually develop and increase in achlorhydric or hypochlorhydric stomachs. Frequent and long-term use of PPIs is believed to promote infections in patients prescribed these medications.</p>
<p>Second, the possible explanation might be associated with lower immune status. <italic>M. tuberculosis</italic> shares risk factors similar to those of community-acquired pneumonia, such as diabetes mellitus, alcohol drinking, aging, and HIV infection (Hsu et al., <xref ref-type="bibr" rid="B17">2014</xref>), although our study showed no significant difference in these comorbidities between cases and controls. A recent large-scale study in Japan and Taiwan revealed that gastrectomy could be associated with increased risk of pulmonary TB (Yokoyama et al., <xref ref-type="bibr" rid="B50">2004</xref>; Huang et al., <xref ref-type="bibr" rid="B19">2011</xref>), leading to poor immunity and nutritional states. We can confirm that the mechanism of gastrectomy is similar to that of PPI use and results in an achlorhydric or hypochlorhydric stomach. Therefore, the risk of developing pulmonary TB may increase because of limited stomach acid secretion and the poor immune status of a patient.</p>
<p>Finally, physicians in hospitals or local clinics may have difficulty in differentiating the symptoms of the initial stages of pulmonary TB and those of acid reflux-associated diseases, such as dry or chronic cough. The patients with chronic cough, disregarding whether pulmonary TB infections or not might be misdiagnosed or ignored, then PPI medication prescribed for treating acid reflux-associated chronic cough by physicians belong reasonable inference. Thus, some patients may still be infected with pulmonary TB even after PPI therapy. On the other words, PPI therapy should be withheld from patients with highly suspect pulmonary TB, even not prescribed PPI before confirm diagnosis of pulmonary TB.</p>
<p>In this study, we analyzed dose-related responses to PPI use and considered controls with no PPI use as the reference group. The dose-related response is understandable (Chou and Talalay, <xref ref-type="bibr" rid="B8">1984</xref>). Patients prescribed high doses of the medications showed more extensive adverse effects than those prescribed relatively lower doses (Sheen and Triadafilopoulos, <xref ref-type="bibr" rid="B43">2011</xref>). As PPI use is gradually increasing in Taiwan (Chen et al., <xref ref-type="bibr" rid="B6">2003</xref>), physicians and specialists should pay more attention to the dose-related responses to and adverse effects of PPIs.</p>
</sec>
<sec id="s5">
<title>Limitation</title>
<p>One of the limitations of this work is underestimation of the numbers of patients with PPI use. Herein, we focused only on Taiwan&#x00027;s National Health Insurance Program database and ignored PPI or H2RA medications prescribed over the counter. Another limitation is diagnosis of pulmonary TB using ICD-9 codes. Miscoding by physicians, an ambiguous definition of pulmonary TB, and lack of sputum culture or chest X-ray could contribute to misdiagnosis of the disease. Finally, history, period, and dosage of PPI therapy were defined arbitrarily and without following any standard guideline. Rigorous evaluation of the definitions of pulmonary TB and manner of PPI use is recommended for future investigations.</p>
</sec>
<sec id="s6">
<title>Strength</title>
<p>One of the strengths of the present study is that the set of ICD-9 codes used has been validated in previous published studies (Lai et al., <xref ref-type="bibr" rid="B26">2013a</xref>,<xref ref-type="bibr" rid="B27">b</xref>, <xref ref-type="bibr" rid="B30">2014a</xref>,<xref ref-type="bibr" rid="B31">b</xref>, <xref ref-type="bibr" rid="B29">2017</xref>; Hung et al., <xref ref-type="bibr" rid="B21">2016</xref>; Lai, <xref ref-type="bibr" rid="B24">2016</xref>; Lin et al., <xref ref-type="bibr" rid="B34">2016a</xref>, <xref ref-type="bibr" rid="B35">2016b</xref>; Shen et al., <xref ref-type="bibr" rid="B44">2016</xref>; Hsu et al., <xref ref-type="bibr" rid="B16">2017</xref>; Liao et al., <xref ref-type="bibr" rid="B32">2017a</xref>,<xref ref-type="bibr" rid="B33">b</xref>). The long observation period employed in our study (i.e., from 2000 to 2013) also endows our study with more credibility compared with other similar studies.</p>
</sec>
<sec sec-type="conclusions" id="s7">
<title>Conclusion</title>
<p>We conclude that PPI use is associated with a 1.3-fold increase in odds of developing pulmonary TB in Taiwan. There is a dose-related response between PPI use and pulmonary TB. Considering our results, evaluation of the risk of developing pulmonary TB may be necessary prior to prescribing the use of anti-suppressive agents.</p>
</sec>
<sec id="s8">
<title>Author contributions</title>
<p>KC and KL planned and conducted this study. They participated in the data interpretation, and also critically revised the article. CL conducted the data analysis and critically revised the article. SL planned and conducted this study. He contributed to the conception of the article, initiated the draft of the article, and critically revised the article.</p>
<sec>
<title>Conflict of interest statement</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>
</body>
<back>
<ack>
<p>This study was supported in part by Taiwan Ministry of Health and Welfare Clinical Trial Center (MOHW106-TDU-B-212-133004), China Medical University Hospital, Academia Sinica Taiwan Biobank Stroke Biosignature Project (BM10501010037), National Research Program for Biopharmaceuticals (NRPB) Stroke Clinical Trial Consortium (MOST 105-2325-B-039-003), Tseng-Lien Lin Foundation in Taichung in Taiwan, Taiwan Brain Disease Foundation in Taipei in Taiwan, and Katsuzo and Kiyo Aoshima Memorial Funds in Japan. These funding agencies did not influence the study design, data collection and analysis, decision to publish, or preparation of the manuscript.</p>
</ack>
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