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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Med.</journal-id>
<journal-title>Frontiers in Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Med.</abbrev-journal-title>
<issn pub-type="epub">2296-858X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmed.2021.693245</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Medicine</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Gallbladder Polyps Increase the Risk of Ischaemic Heart Disease Among Korean Adults</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Lee</surname> <given-names>Yong-Jae</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1304943/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Park</surname> <given-names>Byoungjin</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x02020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1202467/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Hong</surname> <given-names>Kyung-Won</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Jung</surname> <given-names>Dong-Hyuk</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Family Medicine, Gangnam Severance Hospital</institution>, <addr-line>Seoul</addr-line>, <country>South Korea</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Family Medicine, Yongin Severance Hospital</institution>, <addr-line>Yongin</addr-line>, <country>South Korea</country></aff>
<aff id="aff3"><sup>3</sup><institution>Theragen Bio Co. Ltd.</institution>, <addr-line>Suwon-si</addr-line>, <country>South Korea</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Junjie Xiao, Shanghai University, China</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: HeeTaik Kang, Chungbuk National University, South Korea; Zhiwei Li, Chinese Academy of Medical Sciences and Peking Union Medical College, China</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Dong-Hyuk Jung <email>balsan2&#x00040;yuhs.ac</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Family Medicine and Primary Care, a section of the journal Frontiers in Medicine</p></fn>
<fn fn-type="other" id="fn002"><p>&#x02020;These authors have contributed equally to this work</p></fn></author-notes>
<pub-date pub-type="epub">
<day>13</day>
<month>08</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>8</volume>
<elocation-id>693245</elocation-id>
<history>
<date date-type="received">
<day>10</day>
<month>04</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>26</day>
<month>07</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2021 Lee, Park, Hong and Jung.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Lee, Park, Hong and Jung</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><p><bold>Background:</bold> Gallbladder (GB) polyps and ischaemic heart disease (IHD) share some common risk factors. We investigated the longitudinal effects of gallbladder (GB) polyps, as a surrogate metabolic indicator, on IHD.</p>
<p><bold>Methods:</bold> We enrolled 19,612 participants from the health risk assessment study (HERAS) and Korean Health Insurance Review and Assessment Service (HIRA) database. The primary outcome was IHD, which consisted of angina pectoris (ICD-10 code I20) or acute myocardial infarction (ICD-10 code I21) that occurred after enrolment into the study. We calculated hazard ratios (HRs) with 95&#x00025; confidence intervals (CIs) for IHD according to the presence of GB polyps using multivariate Cox proportional hazards regression models.</p>
<p><bold>Results:</bold> The median follow-up period was 29.9 months and a total of 473 individuals (2.4&#x00025;, 473/19,612) developed IHD. Individuals with GB polyps had an increased risk of IHD compared with the control group after adjusting for potential confounding variables (HR = 1.425; 95&#x00025; CI, 1.028&#x02013;1.975). Furthermore, the coexistence of hypertension or dyslipidaemia resulted in an increased risk (HR = 2.14, 95&#x00025; CI, 1.34&#x02013;3.44 or HR = 2.09, 95&#x00025; CI, 1.32&#x02013;3.31, respectively) of new-onset IHD in the GB polyp group.</p>
<p><bold>Conclusions:</bold> GB polyps was an independent risk factor of IHD. Awareness of these associations will inform clinicians on the need to include cardiovascular risk management as part of the routine management of patients with GB polyps.</p></abstract>
<kwd-group>
<kwd>gallbladder</kwd>
<kwd>polyps</kwd>
<kwd>coronary disease</kwd>
<kwd>comorbidity</kwd>
<kwd>cohort study</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="34"/>
<page-count count="8"/>
<word-count count="4619"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Ischaemic heart disease (IHD) is the leading cause of morbidity and mortality among middle-aged and older individuals globally (<xref ref-type="bibr" rid="B1">1</xref>). The incidence of cardiovascular disease (CVD) has increased in developed Asian countries because life style and eating habits have become more westernized (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>). Also, IHD carries the 2nd leading death rate following cancer in South Korea, while the recent trend has been gradually rising over the last decade (<xref ref-type="bibr" rid="B4">4</xref>). Therefore, it is crucial for physicians to assess the presence of IHD-related risk factors for early prevention of IHD (<xref ref-type="bibr" rid="B5">5</xref>).</p>
<p>Gallbladder (GB) polyps are defined based on the presence of polypoidal lesions in the GB mucosa, and ultrasonography (USG) is generally used in clinical settings to detect these polyps (<xref ref-type="bibr" rid="B6">6</xref>). USG is a non-invasive tool with &#x0003E;90&#x00025; sensitivity and specificity for diagnosing GB polyps (<xref ref-type="bibr" rid="B7">7</xref>). The prevalence of GB polyps in Korea is estimated at 2.2&#x02013;8.5&#x00025;, which is higher than that for Western countries but lower than the prevalence in China (<xref ref-type="bibr" rid="B8">8</xref>&#x02013;<xref ref-type="bibr" rid="B10">10</xref>). Although, most GB polyps are cholesterol polyps and benign lesions, the presence of GB polyps is used for the early detection of malignancy and to determine the appropriate time to undergo GB resection surgery (<xref ref-type="bibr" rid="B11">11</xref>).</p>
<p>Previous studies suggested that the presence of GB polyps is closely associated with insulin resistance, obesity, and CVD (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>). Hence, GB polyps and IHD may share common risk factors; however, few studies have explored the relationship between these two conditions (<xref ref-type="bibr" rid="B14">14</xref>).</p>
<p>We conducted a regional and community-based cohort study to investigate the association between GB polyps found by USG and the development of IHD. We included data from the health risk assessment study (HERAS) and Korea Health Insurance Review and Assessment Service (HIRA) database.</p>
</sec>
<sec sec-type="materials and methods" id="s2">
<title>Materials and Methods</title>
<sec>
<title>Data and Study Cohort</title>
<p>This retrospective study was derived from the HERAS, which has been previously described in details on design and methodology (<xref ref-type="bibr" rid="B15">15</xref>). In brief, the cohort consisted of 20,530 sequential subjects who visited the Health Promotion Center at the Yonsei University Gangnam Severance Hospital for health examinations between November 2006 and June 2010. We excluded 528 participants who had previously been diagnosed with IHD or ischaemic stroke. In addition, patients who met at least one of the following criteria were excluded: &#x0003C;20 years of age, missing data, or high-sensitivity C-reactive protein (hsCRP) levels &#x02265; 10 mg/L (<italic>n</italic> = 390). Informed consent was obtained from each participant.</p>
<p>Each participant completed a questionnaire that described lifestyle and medical history. The questionnaire on smoking status consists of the following categories: never smoked, current smoker, and former smoker. A regular alcohol drinker was defined as a person who consumed more than 140 g of alcohol per week. Regular exercise was defined as moderate physical activity three or more times per week. Body weight and height were measured to the nearest 0.1 kg and 0.1 cm, respectively, in light indoor clothing without footwear. Body mass index (BMI) was calculated as weight divided by height squared (kg/m<sup>2</sup>). Systolic blood pressure (SBP) and diastolic blood pressure (DBP) were measured in the sitting position after 10 min of rest using a standard mercury sphygmomanometer (Baumanometer, W.A. Baum Co Inc., Copiague, NY, USA). Mean arterial pressure was calculated from SBP and DBP. Dyslipidaemia was defined as total cholesterol &#x02265; 240 mg/dL, triglycerides &#x02265; 150 mg/dL, high density-lipoprotein (HDL) cholesterol &#x0003C; 40 mg/dL for men and &#x0003C; 50 mg/dL for women, or the use of lipid-lowering medication. Diabetes was defined as a fasting plasma glucose (FPG) greater or equal to 126 mg/dL, a self-reported history of diabetes, or current use of diabetes medication. Among individuals without diabetes, impaired fasting glucose was defined as FPG levels between 100 and 126 mg/dL.</p>
</sec>
<sec>
<title>Exposures and Outcomes</title>
<p>Experienced radiologists performed abdominal USG using a 3.5-MHz transducer (HDI 5000, Philips, Bothell, WA, USA) and were blinded to laboratory and clinical data. GB polyps were assessed by well-described radiological criteria. A GB polyp was diagnosed if ultrasonography showed any size of hyperechoic mass protruding from the GB wall, and there was no acoustic shadowing or movement with a postural change. The control group without GB polyps consisted of 18,413 participants, and the GB polyp group comprised 1,119 patients. The primary outcome, previously described, was IHD, which consisted of angina pectoris (ICD-10 code I20) or acute myocardial infarction (ICD-10 code I21) that occurred after enrolment into the study (<xref ref-type="bibr" rid="B15">15</xref>). To define baseline and post-survey outcomes, we linked a personal 13-digit identification number that was assigned to each participant by the Korean HIRA between November 1, 2006 and December 31, 2010.</p>
</sec>
<sec>
<title>Statistical Analysis</title>
<p>We compared the baseline characteristics according to the presence of GB polyps using Student&#x00027;s <italic>t</italic>-tests for continuous variables and chi-squared tests for categorical variables. We have used box plots and the Kolmogorov-Smirnov test to evaluate the distribution of the variables. Adjusted survival curves were used to estimate the cumulative incidence of IHD for each group. Using the Cox proportional hazards regression model, we calculated hazard ratios (HRs) and 95 &#x00025; confidence intervals (CIs) for new-onset IHD after adjusting for potential confounding variables. Furthermore, we evaluated whether the presence of GB polyps affected the incidence of IHD when combined with metabolic comorbidities. All analyses were performed using SAS version 9.4 software (SAS Institute Inc., Cary, NC, USA). All statistical tests were two-sided, and statistical significance was set at <italic>P</italic> &#x0003C; 0.05. The data are presented as numbers &#x000B1; standard deviation or percentage.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<p>A total of 19,612 participants (10,267 men and 9,345 women) were included in the final analysis (<xref ref-type="fig" rid="F1">Figure 1</xref>). <xref ref-type="table" rid="T1">Table 1</xref> presents the baseline characteristics of the HERAS-HIRA cohorts according to the presence of GP polyps. There were no differences in BMI, total cholesterol, FPG, TG, or hsCRP between the two groups. The prevalence of comorbidities, including hypertension, type 2 diabetes mellitus (T2DM), and dyslipidaemia, was not significantly different between the two groups.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Flowchart for the selection of study participants.</p></caption>
<graphic xlink:href="fmed-08-693245-g0001.tif"/>
</fig>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Clinical and biochemical characteristics of the study population.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th valign="top" align="center"><bold>Total (<italic>n</italic> &#x0003D; 19,612)</bold></th>
<th valign="top" align="center"><bold>Controls (<italic>n</italic> &#x0003D; 18,413)</bold></th>
<th valign="top" align="center"><bold>Gallbladder polyp (<italic>n</italic> &#x0003D; 1,119)</bold></th>
<th valign="top" align="center"><italic><bold>P</bold></italic><bold>-value<xref ref-type="table-fn" rid="TN1"><sup><bold>a</bold></sup></xref></bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age, years</td>
<td valign="top" align="center">45.7 &#x000B1; 10.9</td>
<td valign="top" align="center">45.7 &#x000B1; 10.8</td>
<td valign="top" align="center">46.8 &#x000B1; 10.7</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Male sex, &#x00025;</td>
<td valign="top" align="center">52.4</td>
<td valign="top" align="center">51.9</td>
<td valign="top" align="center">59.0</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Body mass index, kg/m<sup>2</sup></td>
<td valign="top" align="center">23.4 &#x000B1; 3.1</td>
<td valign="top" align="center">23.4 &#x000B1; 3.1</td>
<td valign="top" align="center">23.4 &#x000B1; 3.0</td>
<td valign="top" align="center">0.939</td>
</tr>
<tr>
<td valign="top" align="left">Systolic blood pressure, mmHg</td>
<td valign="top" align="center">122.4 &#x000B1; 15.7</td>
<td valign="top" align="center">122.4 &#x000B1; 15.7</td>
<td valign="top" align="center">122.6 &#x000B1; 15.5</td>
<td valign="top" align="center">0.674</td>
</tr>
<tr>
<td valign="top" align="left">Diastolic blood pressure, mmHg</td>
<td valign="top" align="center">76.3 &#x000B1; 10.2</td>
<td valign="top" align="center">76.3 &#x000B1; 10.2</td>
<td valign="top" align="center">76.5 &#x000B1; 10.0</td>
<td valign="top" align="center">0.668</td>
</tr>
<tr>
<td valign="top" align="left">Mean arterial pressure, mmHg</td>
<td valign="top" align="center">91.7 &#x000B1; 11.6</td>
<td valign="top" align="center">91.7 &#x000B1; 11.7</td>
<td valign="top" align="center">91.8 &#x000B1; 11.4</td>
<td valign="top" align="center">0.661</td>
</tr>
<tr>
<td valign="top" align="left">Fasting plasma glucose, mg/dL</td>
<td valign="top" align="center">94.4 &#x000B1; 18.9</td>
<td valign="top" align="center">94.3 &#x000B1; 19.0</td>
<td valign="top" align="center">95.1 &#x000B1; 18.4</td>
<td valign="top" align="center">0.145</td>
</tr>
<tr>
<td valign="top" align="left">Total cholesterol, mg/dL</td>
<td valign="top" align="center">189.3 &#x000B1; 34.1</td>
<td valign="top" align="center">189.3 &#x000B1; 34.1</td>
<td valign="top" align="center">190.3 &#x000B1; 34.2</td>
<td valign="top" align="center">0.325</td>
</tr>
<tr>
<td valign="top" align="left">Triglyceride, mg/dL</td>
<td valign="top" align="center">126.3 &#x000B1; 90.9</td>
<td valign="top" align="center">126.4 &#x000B1; 89.8</td>
<td valign="top" align="center">125.2 &#x000B1; 106.7</td>
<td valign="top" align="center">0.715</td>
</tr>
<tr>
<td valign="top" align="left">HDL-cholesterol, mg/dL</td>
<td valign="top" align="center">53.2 &#x000B1; 12.7</td>
<td valign="top" align="center">53.2 &#x000B1; 12.8</td>
<td valign="top" align="center">52.0 &#x000B1; 12.1</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Aspartate aminotransferase, IU/L</td>
<td valign="top" align="center">21.9 &#x000B1; 12.1</td>
<td valign="top" align="center">21.9 &#x000B1; 12.3</td>
<td valign="top" align="center">21.0 &#x000B1; 8.6</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Alanine aminotransferase, IU/L</td>
<td valign="top" align="center">23.3 &#x000B1; 21.8</td>
<td valign="top" align="center">23.4 &#x000B1; 22.1</td>
<td valign="top" align="center">22.2 &#x000B1; 15.7</td>
<td valign="top" align="center">0.015</td>
</tr>
<tr>
<td valign="top" align="left">&#x003B3;-glutamyltransferase, IU/L</td>
<td valign="top" align="center">32.3 &#x000B1; 40.8</td>
<td valign="top" align="center">32.3 &#x000B1; 41.3</td>
<td valign="top" align="center">32.2 &#x000B1; 31.8</td>
<td valign="top" align="center">0.894</td>
</tr>
<tr>
<td valign="top" align="left">C-reactive protein, mg/L</td>
<td valign="top" align="center">1.1 &#x000B1; 1.4</td>
<td valign="top" align="center">1.1 &#x000B1; 1.4</td>
<td valign="top" align="center">1.0 &#x000B1; 1.2</td>
<td valign="top" align="center">0.104</td>
</tr>
<tr>
<td valign="top" align="left">Current smoker, &#x00025;</td>
<td valign="top" align="center">24.6</td>
<td valign="top" align="center">24.6</td>
<td valign="top" align="center">25.0</td>
<td valign="top" align="center">0.009</td>
</tr>
<tr>
<td valign="top" align="left">Alcohol drinking, &#x00025;</td>
<td valign="top" align="center">43.6</td>
<td valign="top" align="center">43.8</td>
<td valign="top" align="center">40.5</td>
<td valign="top" align="center">0.031</td>
</tr>
<tr>
<td valign="top" align="left">Regular exercise, &#x00025;</td>
<td valign="top" align="center">31.7</td>
<td valign="top" align="center">31.6</td>
<td valign="top" align="center">33.2</td>
<td valign="top" align="center">0.270</td>
</tr>
<tr>
<td valign="top" align="left">Hypertension, &#x00025;</td>
<td valign="top" align="center">23.2</td>
<td valign="top" align="center">23.2</td>
<td valign="top" align="center">24.0</td>
<td valign="top" align="center">0.495</td>
</tr>
<tr>
<td valign="top" align="left">Type 2 diabetes, &#x00025;</td>
<td valign="top" align="center">5.3</td>
<td valign="top" align="center">5.3</td>
<td valign="top" align="center">5.1</td>
<td valign="top" align="center">0.773</td>
</tr>
<tr>
<td valign="top" align="left">Dyslipidaemia, &#x00025;</td>
<td valign="top" align="center">38.7</td>
<td valign="top" align="center">38.8</td>
<td valign="top" align="center">38.2</td>
<td valign="top" align="center">0.693</td>
</tr>
<tr>
<td valign="top" align="left">Medication for comorbidities, &#x00025;</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Hypertension</td>
<td valign="top" align="center">10.1</td>
<td valign="top" align="center">10.0</td>
<td valign="top" align="center">12.3</td>
<td valign="top" align="center">0.008</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Type 2 diabetes</td>
<td valign="top" align="center">3.0</td>
<td valign="top" align="center">2.9</td>
<td valign="top" align="center">3.6</td>
<td valign="top" align="center">0.176</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Dyslipidaemia</td>
<td valign="top" align="center">3.0</td>
<td valign="top" align="center">3.0</td>
<td valign="top" align="center">2.6</td>
<td valign="top" align="center">0.403</td>
</tr>
<tr>
<td valign="top" align="left">Impaired fasting glucose, &#x00025;</td>
<td valign="top" align="center">16.9</td>
<td valign="top" align="center">16.7</td>
<td valign="top" align="center">19.9</td>
<td valign="top" align="center">0.004</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TN1"><label>a</label><p><italic>P-values were calculated using t-test (age, body mass index, systolic blood pressure, diastolic blood pressure, mean arterial pressure, fasting plasma glucose, total cholesterol, triglyceride, HDL-cholesterol, aspartate aminotransferase, alanine aminotransferase, &#x003B3;-glutamyltransferase, and C-reactive protein) or the chi-squared test (sex, current smoker, alcohol drinking, regular exercise, hypertension, type 2 diabetes, dyslipidaemia, and impaired fasting glucose)</italic>.</p></fn> 
<p><italic>HDL, high density-lipoprotein cholesterol</italic>.</p>
</table-wrap-foot>
</table-wrap>
<p><xref ref-type="table" rid="T2">Table 2</xref> shows the incidence of and difference in IHD between the control and GB polyp groups. A total of 473 individuals (2.4&#x00025;, 473/19,612) developed IHD during the follow-up and the patients with GB polyps had a higher risk of developing IHD. Furthermore, the GB polyp group showed a higher cumulative incidence of IHD over 50 months after adjusting for age, sex, hypertension, diabetes, and dyslipidaemia (<italic>P</italic> = 0.021) (<xref ref-type="fig" rid="F2">Figure 2</xref>).</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Overall incidence of ischaemic heart disease according to the presence of gallbladder polyp.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th valign="top" align="center"><bold>Controls</bold></th>
<th valign="top" align="center"><bold>Gallbladder polyp</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">New cases of ischaemic heart disease, <italic>n</italic></td>
<td valign="top" align="center">430</td>
<td valign="top" align="center">43</td>
</tr>
<tr>
<td valign="top" align="left">Mean follow-up, years</td>
<td valign="top" align="center">2.4 &#x000B1; 1.1</td>
<td valign="top" align="center">2.2 &#x000B1; 1.2</td>
</tr>
<tr>
<td valign="top" align="left">Pearson-years of follow-up</td>
<td valign="top" align="center">43,539</td>
<td valign="top" align="center">2,613</td>
</tr>
<tr>
<td valign="top" align="left">Incidence rate/1,000 person-years</td>
<td valign="top" align="center">9.9</td>
<td valign="top" align="center">16.5</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Cox regression survival curve. <bold>(A)</bold> unadjusted; <bold>(B)</bold> adjusted for age, sex, hypertension, diabetes, and dyslipidaemia.</p></caption>
<graphic xlink:href="fmed-08-693245-g0002.tif"/>
</fig>
<p><xref ref-type="table" rid="T3">Table 3</xref> presents the univariate and multivariate HRs of IHD categorized by age, sex, alcohol intake, blood tests including lipid profiles, and baseline comorbidities. The increase in IHD risk in the multivariate model was dependent upon greater age, male sex, increased BMI, total cholesterol, or alanine aminotransferase, and GB polyps. <xref ref-type="table" rid="T4">Table 4</xref> shows Cox proportional hazard regression analyses for the risk of IHD in patients with GB polyps in the presence of different comorbidities. The coexistence of GB polyps and hypertension or dyslipidaemia resulted in greater risk of IHD compared with GB polyps alone. However, this cumulative effect was observed only in patients with impaired FPG, not in participants with diabetes.</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Univariate and multivariate Cox proportional-hazards regression models for incident ischaemic heart disease.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th valign="top" align="center" style="border-bottom: thin solid #000000;" colspan="3"><bold>Univariate</bold></th>
<th valign="top" align="center" style="border-bottom: thin solid #000000;" colspan="3"><bold>Multivariate</bold></th>
</tr>
<tr>
<th valign="top" align="left"><bold>Variables</bold></th>
<th valign="top" align="center"><bold>HRs</bold></th>
<th valign="top" align="center"><bold>95&#x00025; CIs</bold></th>
<th valign="top" align="center"><italic><bold>P</bold></italic><bold>-value</bold></th>
<th valign="top" align="center"><bold>HRs</bold></th>
<th valign="top" align="center"><bold>95&#x00025; CIs</bold></th>
<th valign="top" align="center"><italic><bold>P</bold></italic><bold>-value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age, years</td>
<td valign="top" align="center">1.071</td>
<td valign="top" align="center">1.063&#x02013;1.080</td>
<td valign="top" align="center">&#x0003C;0.001</td>
<td valign="top" align="center">1.057</td>
<td valign="top" align="center">1.047&#x02013;1.067</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Male sex, yes or no</td>
<td valign="top" align="center">1.759</td>
<td valign="top" align="center">1.453&#x02013;2.130</td>
<td valign="top" align="center">&#x0003C;0.001</td>
<td valign="top" align="center">1.502</td>
<td valign="top" align="center">1.122&#x02013;2.010</td>
<td valign="top" align="center">0.006</td>
</tr>
<tr>
<td valign="top" align="left">Body mass index, kg/m<sup>2</sup></td>
<td valign="top" align="center">1.104</td>
<td valign="top" align="center">1.075&#x02013;1.135</td>
<td valign="top" align="center">&#x0003C;0.001</td>
<td valign="top" align="center">1.046</td>
<td valign="top" align="center">1.011&#x02013;1.083</td>
<td valign="top" align="center">0.010</td>
</tr>
<tr>
<td valign="top" align="left">Current smoking, yes or no</td>
<td valign="top" align="center">1.264</td>
<td valign="top" align="center">0.992&#x02013;1.610</td>
<td valign="top" align="center">0.058</td>
<td valign="top" align="center">1.278</td>
<td valign="top" align="center">0.937&#x02013;1.741</td>
<td valign="top" align="center">0.121</td>
</tr>
<tr>
<td valign="top" align="left">Alcohol drinking, yes or no</td>
<td valign="top" align="center">0.722</td>
<td valign="top" align="center">0.596&#x02013;0.876</td>
<td valign="top" align="center">&#x0003C;0.001</td>
<td valign="top" align="center">0.766</td>
<td valign="top" align="center">0.618&#x02013;0.949</td>
<td valign="top" align="center">0.014</td>
</tr>
<tr>
<td valign="top" align="left">Regular exercise, yes or no</td>
<td valign="top" align="center">1.599</td>
<td valign="top" align="center">1.325&#x02013;1.930</td>
<td valign="top" align="center">&#x0003C;0.001</td>
<td valign="top" align="center">1.163</td>
<td valign="top" align="center">0.955&#x02013;1.415</td>
<td valign="top" align="center">0.132</td>
</tr>
<tr>
<td valign="top" align="left">Mean arterial pressure, mmHg</td>
<td valign="top" align="center">1.023</td>
<td valign="top" align="center">1.016&#x02013;1.031</td>
<td valign="top" align="center">&#x0003C;0.001</td>
<td valign="top" align="center">0.996</td>
<td valign="top" align="center">0.987&#x02013;1.005</td>
<td valign="top" align="center">0.354</td>
</tr>
<tr>
<td valign="top" align="left">Fasting plasma glucose, mg/dL</td>
<td valign="top" align="center">1.011</td>
<td valign="top" align="center">1.008&#x02013;1.013</td>
<td valign="top" align="center">&#x0003C;0.001</td>
<td valign="top" align="center">1.004</td>
<td valign="top" align="center">0.999&#x02013;1.008</td>
<td valign="top" align="center">0.103</td>
</tr>
<tr>
<td valign="top" align="left">Total cholesterol, mg/dL</td>
<td valign="top" align="center">1.006</td>
<td valign="top" align="center">1.003&#x02013;1.008</td>
<td valign="top" align="center">&#x0003C;0.001</td>
<td valign="top" align="center">1.003</td>
<td valign="top" align="center">1.001&#x02013;1.006</td>
<td valign="top" align="center">0.018</td>
</tr>
<tr>
<td valign="top" align="left">Alanine aminotransferase, IU</td>
<td valign="top" align="center">1.003</td>
<td valign="top" align="center">1.002&#x02013;1.004</td>
<td valign="top" align="center">&#x0003C;0.001</td>
<td valign="top" align="center">1.004</td>
<td valign="top" align="center">1.002&#x02013;1.006</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">C-reactive protein, mg/L</td>
<td valign="top" align="center">1.116</td>
<td valign="top" align="center">1.059&#x02013;1.177</td>
<td valign="top" align="center">&#x0003C;0.001</td>
<td valign="top" align="center">1.004</td>
<td valign="top" align="center">0.939&#x02013;1.074</td>
<td valign="top" align="center">0.904</td>
</tr>
<tr>
<td valign="top" align="left">Hypertension medication, yes or no</td>
<td valign="top" align="center">3.766</td>
<td valign="top" align="center">3.091&#x02013;4.588</td>
<td valign="top" align="center">&#x0003C;0.001</td>
<td valign="top" align="center">1.714</td>
<td valign="top" align="center">1.350&#x02013;2.175</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Diabetes medication, yes or no</td>
<td valign="top" align="center">3.163</td>
<td valign="top" align="center">2.288&#x02013;4.373</td>
<td valign="top" align="center">&#x0003C;0.001</td>
<td valign="top" align="center">1.064</td>
<td valign="top" align="center">0.715&#x02013;1.583</td>
<td valign="top" align="center">0.758</td>
</tr>
<tr>
<td valign="top" align="left">Dyslipidaemia medication, yes or no</td>
<td valign="top" align="center">4.139</td>
<td valign="top" align="center">3.103&#x02013;5.521</td>
<td valign="top" align="center">&#x0003C;0.001</td>
<td valign="top" align="center">1.930</td>
<td valign="top" align="center">1.412&#x02013;2.638</td>
<td valign="top" align="center">&#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Gallbladder polyp, yes or no</td>
<td valign="top" align="center">1.632</td>
<td valign="top" align="center">1.192&#x02013;2.233</td>
<td valign="top" align="center">0.002</td>
<td valign="top" align="center">1.425</td>
<td valign="top" align="center">1.028&#x02013;1.975</td>
<td valign="top" align="center">0.033</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p>Hazard ratios and 95&#x00025; confidence intervals for ischaemic heart disease according to gallbladder polyp in the context of metabolic diseases.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th valign="top" align="center" style="border-bottom: thin solid #000000;" colspan="4"><bold>Model 1</bold></th>
<th valign="top" align="center" style="border-bottom: thin solid #000000;" colspan="4"><bold>Model 2</bold></th>
</tr>
<tr>
<th valign="top" align="left"><bold>Comorbidities</bold></th>
<th valign="top" align="center" style="border-bottom: thin solid #000000;" colspan="2"><bold>Controls</bold></th>
<th valign="top" align="center" style="border-bottom: thin solid #000000;" colspan="2"><bold>GB polyp</bold></th>
<th valign="top" align="center" style="border-bottom: thin solid #000000;" colspan="2"><bold>Controls</bold></th>
<th valign="top" align="center" style="border-bottom: thin solid #000000;" colspan="2"><bold>GB polyp</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold>HRs (95&#x00025; CIs)</bold></th>
<th valign="top" align="center"><italic><bold>P</bold></italic><bold>-value</bold></th>
<th valign="top" align="center"><bold>HRs (95&#x00025; CIs)</bold></th>
<th valign="top" align="center"><italic><bold>P</bold></italic><bold>-value</bold></th>
<th valign="top" align="center"><bold>HRs (95&#x00025; CIs)</bold></th>
<th valign="top" align="center"><italic><bold>P</bold></italic><bold>-value</bold></th>
<th valign="top" align="center"><bold>HRs (95&#x00025; CIs)</bold></th>
<th valign="top" align="center"><italic><bold>P</bold></italic><bold>-value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="9">Hypertension</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;No</td>
<td valign="top" align="center">1.00 (reference)</td>
<td/>
<td valign="top" align="center">1.44 (0.94&#x02013;2.19)</td>
<td valign="top" align="center">0.090</td>
<td valign="top" align="center">1.00 (reference)</td>
<td/>
<td valign="top" align="center">1.45 (0.93&#x02013;2.24)</td>
<td valign="top" align="center">0.100</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Yes</td>
<td valign="top" align="center">1.49 (1.22&#x02013;1.83)</td>
<td valign="top" align="center">&#x0003C;0.001</td>
<td valign="top" align="center">2.14 (1.34&#x02013;3.44)</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">1.52 (1.23&#x02013;1.88)</td>
<td valign="top" align="center">&#x0003C;0.001</td>
<td valign="top" align="center">2.14 (1.32&#x02013;3.48)</td>
<td valign="top" align="center">0.002</td>
</tr>
<tr>
<td valign="top" align="left" colspan="9">Type 2 diabetes</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;No</td>
<td valign="top" align="center">1.00 (reference)</td>
<td/>
<td valign="top" align="center">1.49 (1.07&#x02013;2.07)</td>
<td valign="top" align="center">0.018</td>
<td valign="top" align="center">1.00 (reference)</td>
<td/>
<td valign="top" align="center">1.50 (1.06&#x02013;2.11)</td>
<td valign="top" align="center">0.021</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Yes</td>
<td valign="top" align="center">1.46 (1.09&#x02013;1.94)</td>
<td valign="top" align="center">0.013</td>
<td valign="top" align="center">1.59 (0.59&#x02013;4.26)</td>
<td valign="top" align="center">0.358</td>
<td valign="top" align="center">1.50 (1.12&#x02013;2.02)</td>
<td valign="top" align="center">0.006</td>
<td valign="top" align="center">1.58 (0.59&#x02013;4.23)</td>
<td valign="top" align="center">0.367</td>
</tr>
<tr>
<td valign="top" align="left" colspan="9">Dyslipidaemia</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;No</td>
<td valign="top" align="center">1.00 (reference)</td>
<td/>
<td valign="top" align="center">1.51 (0.98&#x02013;2.33)</td>
<td valign="top" align="center">0.059</td>
<td valign="top" align="center">1.00 (reference)</td>
<td/>
<td valign="top" align="center">1.48 (0.94&#x02013;2.32)</td>
<td valign="top" align="center">0.089</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Yes</td>
<td valign="top" align="center">1.55 (1.28&#x02013;1.87)</td>
<td valign="top" align="center">&#x0003C;0.001</td>
<td valign="top" align="center">2.09 (1.32&#x02013;3.31)</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">1.54 (1.26&#x02013;1.88)</td>
<td valign="top" align="center">&#x0003C;0.001</td>
<td valign="top" align="center">2.14 (1.33&#x02013;3.43)</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left" colspan="9">IFG</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;No</td>
<td valign="top" align="center">1.00 (reference)</td>
<td/>
<td valign="top" align="center">1.42 (0.98&#x02013;2.07)</td>
<td valign="top" align="center">0.066</td>
<td valign="top" align="center">1.00 (reference)</td>
<td/>
<td valign="top" align="center">1.45 (0.98&#x02013;2.13)</td>
<td valign="top" align="center">0.062</td>
</tr>
<tr>
<td valign="top" align="left">&#x000A0;&#x000A0;&#x000A0;Yes</td>
<td valign="top" align="center">1.35 (1.07&#x02013;1.70)</td>
<td valign="top" align="center">0.011</td>
<td valign="top" align="center">1.90 (1.08&#x02013;3.32)</td>
<td valign="top" align="center">0.025</td>
<td valign="top" align="center">1.41 (1.11&#x02013;1.80)</td>
<td valign="top" align="center">0.004</td>
<td valign="top" align="center">1.87 (1.04&#x02013;3.35)</td>
<td valign="top" align="center">0.035</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>We found that the presence of GB polyps alone was associated with a 42.5&#x00025; increase in the risk of developing IHD compared with a non-polyp control group. By including IHD risk factors, we discovered that the coexistence of hypertension or dyslipidaemia resulted in an increased risk of IHD in the GB polyp group by approximately 2-fold. However, this cumulative effect was observed only in patients with impaired fasting blood glucose, but not in those with type 2 diabetes mellitus, most of whom are on glucose-lowering medications.</p>
<p>To our knowledge, only one other report has described a relationship between GB polyps and CVD (<xref ref-type="bibr" rid="B13">13</xref>). However, in this latter study, the authors did not fully assess IHD-related risk factors to sufficiently show a causal relationship between GB polyps and IHD. In our study, we evaluated multiple risk factors that influence the development of IHD, including blood glucose levels, lipid profiles, blood pressure, liver function, alcohol intake, smoking status, and self-reported diseases, such as T2DM, hypertension, and dyslipidaemia.</p>
<p>It is generally believed that GB disease is positively correlated with metabolic syndrome, obesity, and T2DM because these conditions share common risk factors, such as sedentary life styles, dyslipidaemia, and fat rich diets (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B16">16</xref>). Our results imply that GB polyps are closely related to the development of IHD, although this association may be an epiphenomenon and not a causal effect. However, our findings suggest that GB polyps may be a risk factor for IHD that is independent of traditional risk factors.</p>
<p>In the present study, patients who presented with GB polyps and the comorbidity hypertension or dyslipidaemia developed an increased risk of IHD that was greater than patients with GB polyps alone. This interaction was observed in patients with impaired FPG, but not in those with T2DM. Considering that the prevalence of metabolic diseases is not different between the GB polyp group and controls at the baseline, both metabolic and non-metabolic factors may contribute to the progression of IHD. Epidemiological studies have reported that the development of IHD is enhanced when CVD risk factors are combined with obesity and metabolic syndrome, but not T2DM, in the general population (<xref ref-type="bibr" rid="B17">17</xref>&#x02013;<xref ref-type="bibr" rid="B20">20</xref>). This finding may be explained in part by the medications used (e.g., metformin) and life style modifications that may occur after a diagnosis of T2DM. Metformin has been shown to protect the heart from fibrosis and remodeling after myocardial infarction and decrease inflammation and oxidative stress (<xref ref-type="bibr" rid="B21">21</xref>). As a result, patients with T2DM taking metformin may have a weakened risk of developing IHD (<xref ref-type="bibr" rid="B22">22</xref>). In addition, our study showed that hypertension had a more obvious effect on IHD development than mean blood pressure at the baseline assessment. This may be related to a follow-up period of &#x0003C;5 years.</p>
<p>Recent epidemiological and experimental studies have reported possible mechanisms by which GB polyps influence the development of IHD. GB polyps are tumor or tumor-like protrusions arising from the GB mucosa and are divided into true polyps and pseudopolyps (<xref ref-type="bibr" rid="B23">23</xref>). True polyps are classified as adenomas or adenocarcinomas, and pseudopolyps, which represent over 90&#x00025; of GB polyps, consist mainly of cholesterol and inflammatory polyps (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>). As the names suggest, the growth and development of the majority of GB polyps are closely related with cholesterol metabolism and inflammation (<xref ref-type="bibr" rid="B25">25</xref>). Acetyl-CoA acetyltransferase 2 (ACAT2) is a key enzyme in the biogenesis of lipid bodies, which may facilitate the pinocytosis of cholesterol and papillary hyperplasia in the GB mucosa (<xref ref-type="bibr" rid="B26">26</xref>). Additionally, this enzyme decreases GB contractility leading to cholesterol deposition in the GB wall (<xref ref-type="bibr" rid="B27">27</xref>). ACAT2 is also responsible for incorporation of cholesteryl ester in apoprotein B-containing lipoproteins that leads to increased very low-density lipoprotein (VLDL) secretion and coronary artery atherosclerosis (<xref ref-type="bibr" rid="B28">28</xref>). It has been reported that inflammation is closely related to ACAT2 activity and downregulating ACAT2 is associated with lowering cholesterol and preventing atherosclerosis (<xref ref-type="bibr" rid="B29">29</xref>). Collectively, the interactive linkage between ACAT activity, inflammation, and dyslipidaemia may have served as a shared mechanism for GB polyps and IHD, an essential starting point for prevention and treatment (<xref ref-type="bibr" rid="B30">30</xref>).</p>
<p>Previous cross-sectional studies have consistently found that patients with metabolic syndrome have a high prevalence of GB polyps, suggesting that insulin resistance may be a potential cause (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B31">31</xref>). An epidemiological study reported that hyperinsulinemia increased the incidence of GB polyp in Korean men (<xref ref-type="bibr" rid="B32">32</xref>). Therefore, we propose that screening patients with GB polyps for metabolic disturbances will be important for early detection and prevention of IHD.</p>
<p>The present study had several strengths. First, potential IHD-related confounding factors were assessed by blood tests along with traditional risk factors. Second, the identification of GB polyps occurred during the process of screening the general population rather than relying on the diagnosis by doctors based on symptoms of GB disease. Also, we minimized the misclassification of asymptomatic patients into the control group in our study and decreased cohort bias. USG by experienced radiologists has over 90&#x00025; of accuracy for the diagnosis of GB polyps (<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B34">34</xref>). Third, this study was carried out using data from a large scale, cohort study to ascertain IHD risk factors and included analyses of multiple physiological tests.</p>
<p>Nevertheless, this study also has some limitations. For the majority of patients with GB polyps, there was no information regarding a pathological condition because the data were obtained from asymptomatic patients who underwent health check-ups. Additionally, this study was a retrospective cohort study and USG was performed only at baseline. Therefore, we were unable to discover new-onset GB polyps during the follow-up period, which may have led to a selection bias. The study cohort was composed of volunteers sequentially visiting for health examination screenings conducted at a single hospital; participants appeared healthier than most community-based cohorts. The number of participants with both GB polyps and comorbidities is small, 1.4&#x00025; for hypertension, 0.3&#x00025; for diabetes, and 2.3&#x00025; for dyslipidaemia. Further research is needed on the risk of IHD according to GB polyps in patients with each cardiometabolic comorbidity. Lastly, individuals with diabetes may have been underestimated because hemoglobin A1c and 2-h oral glucose tolerance tests were not measured at the baseline. Despite these limitations, this is the first study to assess a role for conventional IHD risk factors in the association between GB polyps and development of IHD.</p>
</sec>
<sec sec-type="conclusions" id="s5">
<title>Conclusions</title>
<p>This study showed that the presence of GB polyps is associated with the development of IHD. Metabolic comorbidities are significant factors that increase the risk of gallbladder polyps associated with IHD. Also, early intervention of GB polyps may reduce IHD risk. These findings may guide the prevention and therapy of patients with both GB polyps and IHD and warrant further studies on effective treatment options.</p>
</sec>
<sec sec-type="data-availability-statement" id="s6">
<title>Data Availability Statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by Institutional Review Board of Yonsei University College of Medicine. The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s8">
<title>Author Contributions</title>
<p>Y-JL, BP, and D-HJ: study concept and design. Y-JL, BP, and K-WH: acquisition, analysis, and interpretation of data. BP and D-HJ: drafting of the manuscript. Y-JL and D-HJ: critical revision of the manuscript for important intellectual content. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of Interest</title>
<p>K-WH was employed by Theragen Bio Co. Ltd. The remaining 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 sec-type="disclaimer" id="s9">
<title>Publisher&#x00027;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> 
</body>
<back>
<ack><p>The authors would like to thank the Korea HIRA for their cooperation.</p>
</ack>
<ref-list>
<title>References</title>
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