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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Neurol.</journal-id>
<journal-title>Frontiers in Neurology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Neurol.</abbrev-journal-title>
<issn pub-type="epub">1664-2295</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fneur.2023.1118980</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Neurology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Alcohol flushing syndrome is significantly associated with intracranial aneurysm rupture in the Chinese Han population</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Xiheng</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<xref rid="aff3" ref-type="aff"><sup>3</sup></xref>
<xref rid="fn0001" ref-type="author-notes"><sup>&#x2020;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1606177/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Gui</surname>
<given-names>Siming</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<xref rid="aff3" ref-type="aff"><sup>3</sup></xref>
<xref rid="fn0001" ref-type="author-notes"><sup>&#x2020;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1829888/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Deng</surname>
<given-names>Dingwei</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<xref rid="aff3" ref-type="aff"><sup>3</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1970467/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Dong</surname>
<given-names>Linggen</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Longhui</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wei</surname>
<given-names>Dachao</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<xref rid="aff3" ref-type="aff"><sup>3</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1970377/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Jiang</surname>
<given-names>Jia</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<xref rid="aff3" ref-type="aff"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ge</surname>
<given-names>Huijian</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<xref rid="aff3" ref-type="aff"><sup>3</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1345016/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Peng</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<xref rid="aff3" ref-type="aff"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Lv</surname>
<given-names>Ming</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<xref rid="aff3" ref-type="aff"><sup>3</sup></xref>
<xref rid="c001" ref-type="corresp"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/641207/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Li</surname>
<given-names>Youxiang</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<xref rid="aff3" ref-type="aff"><sup>3</sup></xref>
<xref rid="c002" ref-type="corresp"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1754225/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Beijing Neurosurgical Institute, Capital Medical University</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Neurosurgery, Beijing Tian Tan Hospital, Capital Medical University</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Beijing Engineering Research Center for Interventional Neuroradiology</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<author-notes>
<fn id="fn0002" fn-type="edited-by"><p>Edited by: Chubin Ou, Macquarie University, Australia</p></fn>
<fn id="fn0003" fn-type="edited-by"><p>Reviewed by: Baixue Jia, Beijing Tiantan Hospital, Capital Medical University, China; Xin Feng, Zhujiang Hospital, Southern Medical University, China; Junfan Chen, First Affiliated Hospital of Zhengzhou University, China</p></fn>
<corresp id="c001">&#x002A;Correspondence: Ming Lv, <email>dragontiger@163.com</email></corresp>
<corresp id="c002">Youxiang Li, <email>liyouxiang@bjtth.org</email></corresp>
<fn id="fn0001" fn-type="equal"><p><sup>&#x2020;</sup>These authors have contributed equally to this work</p></fn>
<fn id="fn0004" fn-type="other"><p>This article was submitted to Endovascular and Interventional Neurology, a section of the journal Frontiers in Neurology</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>17</day>
<month>03</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>14</volume>
<elocation-id>1118980</elocation-id>
<history>
<date date-type="received">
<day>08</day>
<month>12</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>02</day>
<month>03</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2023 Chen, Gui, Deng, Dong, Zhang, Wei, Jiang, Ge, Liu, Lv and Li.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Chen, Gui, Deng, Dong, Zhang, Wei, Jiang, Ge, Liu, Lv and Li</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>Objective</title>
<p>Although alcohol flushing syndrome (AFS) has been associated with various diseases, its association with intracranial aneurysm rupture (IAR) is unclear. We aimed to examine this association in the Chinese Han population.</p>
</sec>
<sec>
<title>Methods</title>
<p>We retrospectively reviewed Chinese Han patients with intracranial aneurysms who were evaluated and treated at our institution between January 2020 and December 2021. AFS was determined using a semi-structured telephone interview. Clinical data and aneurysm characteristics were assessed. Univariate and multivariate logistic regression were conducted to determine independent factors associated with aneurysmal rupture.</p>
</sec>
<sec>
<title>Results</title>
<p>A total of 1,170 patients with 1,059 unruptured and 236 ruptured aneurysms were included. The incidence of aneurysm rupture was significantly higher in patients without AFS (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001). Meanwhile, there was a significantly difference between the AFS and non-AFS group in habitual alcohol consumption (10.5 vs. 27.2%, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001). In the univariate analyses, AFS [odds ratio (OR) 0.49; 95% confidence interval (CI), 0.34&#x2013;0.72] was significantly associated with IAR. In the multivariate analysis, AFS was an independent predictor of IAR (OR 0.50; 95%, CI, 0.35&#x2013;0.71). Multivariate analysis revealed that AFS was an independent predictor of IAR in both habitual (OR 0.11; 95% CI, 0.03&#x2013;0.45) and non-habitual drinkers (OR 0.69; 95% CI, 0.49&#x2013;0.96).</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Alcohol flushing syndrome may be a novel clinical marker to assess the risk of IAR. The association between AFS and IAR exists independently of alcohol consumption. Further single nucleotide polymorphism testing and molecular biology studies are warranted.</p>
</sec>
</abstract>
<kwd-group>
<kwd>alcohol flushing syndrome</kwd>
<kwd>intracranial aneurysm</kwd>
<kwd>rupture</kwd>
<kwd>risk factor</kwd>
<kwd>Chinese Han population</kwd>
</kwd-group>
<contract-num rid="cn1">82271319</contract-num>
<contract-num rid="cn1">82171289</contract-num>
<contract-num rid="cn2">F2020202053</contract-num>
<contract-sponsor id="cn1">National Natural Science Foundation of China<named-content content-type="fundref-id">10.13039/501100001809</named-content></contract-sponsor>
<contract-sponsor id="cn2">Natural Science Foundation of Hebei Province of China</contract-sponsor>
<counts>
<fig-count count="2"/>
<table-count count="6"/>
<equation-count count="0"/>
<ref-count count="61"/>
<page-count count="9"/>
<word-count count="6548"/>
</counts>
</article-meta>
</front>
<body>
<sec id="sec5" sec-type="intro">
<title>Introduction</title>
<p>The estimated prevalence of unruptured intracranial aneurysms (UIAs) ranges between 3 and 7% (<xref ref-type="bibr" rid="ref1 ref2 ref3">1&#x2013;3</xref>) and approximately 1&#x2013;2% of these aneurysms will progress and rupture (<xref ref-type="bibr" rid="ref4">4</xref>, <xref ref-type="bibr" rid="ref5">5</xref>). Mortality of rupture approaches 40% (<xref ref-type="bibr" rid="ref6">6</xref>). Detection of UIAs has increased with the widespread use of magnetic resonance angiography (<xref ref-type="bibr" rid="ref7">7</xref>). Although open surgical or endovascular treatment can prevent rupture, each approach is associated with potential complications, including death and permanent disability. Early identification of rupture risk factors and treatment before rupture are critical. Age, sex, smoking, hypertension, history of previous rupture, and aneurysm size, shape, and location are known factors associated with rupture risk (<xref ref-type="bibr" rid="ref8 ref9 ref10">8&#x2013;10</xref>). However, the mechanisms impacting progression and rupture are complex and multidimensional and there are no effective methods to guide clinical decision making when managing UIAs. Identification of clinical indicators that affect UIA stability would be beneficial.</p>
<p>Yang et al. (<xref ref-type="bibr" rid="ref11">11</xref>) recently reported in two independent case&#x2013;control studies that the prevalence of aortic aneurysm/dissection was significantly lower in individuals with mutations in the mitochondrial aldehyde dehydrogenase 2 (ALDH2) gene than in those without mutations, which provides very valuable insight into the study of UIAs. The ALDH2&#x002A;2 mutation, which substitutes glutamate for lysine at position 504 (Glu504Lys), is unique to East Asians and is present in up to 40% of the East Asian population and almost absent in other populations. East Asian individuals with this mutation develop facial flushing, headache, palpitations, and nausea after drinking alcohol, a reaction known as alcohol (ethanol) flushing syndrome (AFS) (<xref ref-type="bibr" rid="ref12 ref13 ref14 ref15 ref16 ref17">12&#x2013;17</xref>). Presence of AFS can identify ALDH2 deficiency in East Asians and be used as an alternative marker for ALDH2 gene variants (<xref ref-type="bibr" rid="ref16 ref17 ref18">16&#x2013;18</xref>). Numerous studies have shown that ALDH2 polymorphisms are associated with a wide range of neurodegenerative, cerebrovascular, and cardiovascular diseases (<xref ref-type="bibr" rid="ref13">13</xref>, <xref ref-type="bibr" rid="ref19 ref20 ref21 ref22">19&#x2013;22</xref>). However, the association of AFS and UIA rupture risk is unclear. This study aimed to examine this potential association in Chinese Han patients with intracranial aneurysms.</p>
</sec>
<sec id="sec6" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="sec7">
<title>Subjects</title>
<p>We retrospectively reviewed all Chinese Han patients with intracranial aneurysms who were evaluated or treated at Beijing Tiantan Hospital between January 2020 and December 2021. All aneurysms were diagnosed using digital subtraction angiography (DSA). Intracranial aneurysm rupture (IAR) was diagnosed based on computed tomography (CT) evidence of subarachnoid hemorrhage. Institutional review board approval was obtained. Among the 3,514 patients who were evaluated or treated, 1,170 patients harboring 1,059 UIAs and 236 ruptured intracranial aneurysms (RIAs) were included for analysis after applying our exclusion criteria. <xref rid="fig1" ref-type="fig">Figure 1</xref> shows the study flowchart and exclusion criteria in detail.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Study flowchart. IA, intracranial aneurysm; SAH, subarachnoid hemorrhage; CT, computed tomography; DSA, digital subtraction angiography; RIA, ruptured intracranial aneurysm; UIA, unruptured intracranial aneurysm.</p>
</caption>
<graphic xlink:href="fneur-14-1118980-g001.tif"/>
</fig>
</sec>
<sec id="sec8">
<title>Data collection</title>
<p>A semi-structured telephone interview (<xref rid="tab1" ref-type="table">Table 1</xref>) was performed by trained interviewers to determine smoking habits, drinking habits, presence of facial flushing when drinking (<xref ref-type="bibr" rid="ref23 ref24 ref25">23&#x2013;25</xref>). Medical history data was collected from treating physicians through interviews with patients and/or family members. Participants were defined as ever-drinkers if they had ever consumed an alcoholic beverage during their lifetime and as never-drinkers if they had never done so. Ever-drinkers were asked about AFS using the following question: &#x2018;Do you have a propensity to experience facial flushing immediately after drinking a glass of beer or an equivalent alcoholic beverage?&#x2019; If the answer was &#x201C;yes, &#x201C;they were categorized as having AFS; those who answered &#x201C;no&#x201D; were categorized as not having AFS. Habitual alcohol drinking was defined as drinking alcohol more than 5&#x2009;days a week (<xref ref-type="bibr" rid="ref24">24</xref>). Current and past smokers were defined as smokers. Patients were considered to have diabetes if they had a previously measured 2-h blood glucose concentration &#x2265;&#x2009;200&#x2009;mg/dl after oral glucose tolerance testing or if they were using insulin or oral hypoglycemic drugs. Patients were considered hypertensive if they had a history of untreated hypertension, used antihypertensive medication, or had been diagnosed with hypertension by a physician. Patients were considered to have hyperlipidemia if they had a history of hyperlipidemia, used anti-lipidemic medications, or had been diagnosed with hyperlipidemia by a physician. Patients were considered to have heart disease if they had a history of myocardial infarction, angina pectoris, percutaneous transluminal coronary angioplasty, or coronary artery bypass graft surgery (<xref ref-type="bibr" rid="ref26">26</xref>).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>The AFS questionnaire.</p>
</caption>
<table frame="hsides" rules="groups">
<tbody>
<tr>
<td align="left" valign="middle">1.Do you smoke?</td>
</tr>
<tr>
<td align="left" valign="middle">A. Yes</td>
</tr>
<tr>
<td align="left" valign="middle">B. Used to smoke, but have quit</td>
</tr>
<tr>
<td align="left" valign="middle">C. Never</td>
</tr>
<tr>
<td align="left" valign="middle">2.If you smoke, how many cigarettes do you smoke on average per day?</td>
</tr>
<tr>
<td align="left" valign="middle">A. 1&#x2013;5 cigarettes</td>
</tr>
<tr>
<td align="left" valign="middle">B. 6&#x2013;10 cigarettes</td>
</tr>
<tr>
<td align="left" valign="middle">C. 11&#x2013;20 cigarettes</td>
</tr>
<tr>
<td align="left" valign="middle">D. 20 cigarettes or more</td>
</tr>
<tr>
<td align="left" valign="middle">3.Do you drink alcohol?</td>
</tr>
<tr>
<td align="left" valign="middle">A. Yes</td>
</tr>
<tr>
<td align="left" valign="middle">B. Occasionally</td>
</tr>
<tr>
<td align="left" valign="middle">C. No</td>
</tr>
<tr>
<td align="left" valign="middle">4.If you drink alcohol, do you drink more than 5&#x2009;days a week?</td>
</tr>
<tr>
<td align="left" valign="middle">A. Yes</td>
</tr>
<tr>
<td align="left" valign="middle">B. No</td>
</tr>
<tr>
<td align="left" valign="middle">5.If you drink alcohol, do you have a propensity to experience facial flushing immediately after drinking a glass of beer or an equivalent alcoholic beverage?</td>
</tr>
<tr>
<td align="left" valign="middle">A. Yes</td>
</tr>
<tr>
<td align="left" valign="middle">B. No</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>AFS, alcohol flushing syndrome.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec9">
<title>Definition of parameters and measurement methods</title>
<p>Two experienced neurointerventionalists evaluated the morphological features of aneurysms using three-dimensional rotational digital subtraction angiography (DSA). The aneurysm size, neck size, and parent artery diameter were measured, and aneurysm shape and location were documented. The maximum cross-sectional diameter, vertical distance between the aneurysm dome and neck, and maximum horizontal diameter were defined as aneurysm size, height, and width, respectively. Aspect ratio (AR) was calculated as the ratio of aneurysm height to neck diameter. Height/width ratio (HWR) was calculated as the ratio of aneurysm height to aneurysm width. Size ratio (SR) was calculated as the ratio of aneurysm size to parent artery diameter. Additionally, the mean vessel diameter was determined by averaging the diameters of two vessel segments upstream of the aneurysm (D1 at the proximal neck and D2 at the upstream 1.5&#x2009;&#x00D7;&#x2009;D1), (<xref ref-type="bibr" rid="ref27">27</xref>). A bifurcation aneurysm was defined as originating from an arterial junction (<xref ref-type="bibr" rid="ref28">28</xref>). These morphological parameters were used to characterize the aneurysms and were analyzed according to established conventions. The measurements were performed by the two neurointerventionalists to ensure consistency, and the inter-observer agreement was assessed.</p>
</sec>
<sec id="sec10">
<title>Statistical analyses</title>
<p>Continuous variables were analyzed using appropriate statistical tests based on their distribution, such as means with standard deviation for normally distributed variables and median with interquartile range for non-normally distributed variables. Categorical variables were presented as numbers with frequency and compared using chi-square or Fisher&#x2019;s exact test as appropriate. To assess the relationship between clinical and aneurysm characteristics and aneurysmal rupture, univariate and multivariate logistic regression analyses were performed to calculate odds ratios (ORs) with 95% confidence intervals (CIs). SPSS software version 25 (IBM Corp., Armonk, NY, United States) was used for all statistical analyses. Statistical significance was considered at a <italic>p</italic>-value less than 0.05.</p>
</sec>
</sec>
<sec id="sec11" sec-type="results">
<title>Results</title>
<p>Patient characteristics are shown in <xref rid="tab2" ref-type="table">Table 2</xref>. Mean patient age was 55.22&#x2009;&#x00B1;&#x2009;10.07&#x2009;years and 59.9% were women. Habitual alcohol drinking was reported by 21.4%. Thirty-five percent of patients were categorized as having AFS.</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Patient characteristics.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Characteristic</th>
<th align="center" valign="top">Total patients (<italic>n</italic> =&#x2009;1,170)</th>
<th align="center" valign="top">Unruptured aneurysms (<italic>n</italic> =&#x2009;934 patients)</th>
<th align="center" valign="top">Ruptured aneurysms (<italic>n</italic> =&#x2009;236 patients)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Age, mean&#x2009;&#x00B1;&#x2009;SD</td>
<td align="center" valign="top">55.2&#x2009;&#x00B1;&#x2009;10.1</td>
<td align="center" valign="top">55.5&#x2009;&#x00B1;&#x2009;10.0</td>
<td align="center" valign="top">54.2&#x2009;&#x00B1;&#x2009;10.4</td>
</tr>
<tr>
<td align="left" valign="top">&#x003C; 50, <italic>n</italic> (%)</td>
<td align="center" valign="bottom">327(28.0)</td>
<td align="center" valign="bottom">253 (27.1)</td>
<td align="center" valign="bottom">74 (31.4)</td>
</tr>
<tr>
<td align="left" valign="top">&#x2265;&#x2009;50, <italic>n</italic> (%)</td>
<td align="center" valign="bottom">843 (72.1)</td>
<td align="center" valign="bottom">681 (72.9)</td>
<td align="center" valign="bottom">162 (68.6)</td>
</tr>
<tr>
<td align="left" valign="top">Sex</td>
</tr>
<tr>
<td align="left" valign="top">Male, <italic>n</italic> (%)</td>
<td align="center" valign="top">469 (40.1)</td>
<td align="center" valign="top">352 (37.7)</td>
<td align="center" valign="top">117 (49.6)</td>
</tr>
<tr>
<td align="left" valign="top">Female, <italic>n</italic> (%)</td>
<td align="center" valign="top">701 (59.9)</td>
<td align="center" valign="top">582 (62.3)</td>
<td align="center" valign="top">119 (50.4)</td>
</tr>
<tr>
<td align="left" valign="top">History of diabetes mellitus, <italic>n</italic> (%)</td>
<td align="center" valign="top">150 (12.8)</td>
<td align="center" valign="top">121 (13.0)</td>
<td align="center" valign="top">29 (12.3)</td>
</tr>
<tr>
<td align="left" valign="top">History of hypertension, <italic>n</italic> (%)</td>
<td align="center" valign="top">660 (56.4)</td>
<td align="center" valign="top">518 (55.5)</td>
<td align="center" valign="top">142 (60.2)</td>
</tr>
<tr>
<td align="left" valign="top">History of hyperlipidemia, <italic>n</italic> (%)</td>
<td align="center" valign="top">401 (34.3)</td>
<td align="center" valign="top">331 (35.4)</td>
<td align="center" valign="top">70 (29.7)</td>
</tr>
<tr>
<td align="left" valign="top">History of heart disease, <italic>n</italic> (%)</td>
<td align="center" valign="top">135 (11.5)</td>
<td align="center" valign="top">106 (11.3)</td>
<td align="center" valign="top">29 (12.3)</td>
</tr>
<tr>
<td align="left" valign="top">History of ischemic stroke, <italic>n</italic> (%)</td>
<td align="center" valign="top">154 (13.2)</td>
<td align="center" valign="top">138 (14.8)</td>
<td align="center" valign="top">16 (6.8)</td>
</tr>
<tr>
<td align="left" valign="top">Smoking, <italic>n</italic> (%)</td>
<td align="center" valign="top">339 (29.0)</td>
<td align="center" valign="top">248 (26.6)</td>
<td align="center" valign="top">91 (38.6)</td>
</tr>
<tr>
<td align="left" valign="top">Alcohol habit, <italic>n</italic> (%)</td>
<td align="center" valign="top">250 (21.4)</td>
<td align="center" valign="top">178 (19.1)</td>
<td align="center" valign="top">72 (30.5)</td>
</tr>
<tr>
<td align="left" valign="top">AFS, <italic>n</italic> (%)</td>
<td align="center" valign="top">410 (35.0)</td>
<td align="center" valign="top">354 (37.9)</td>
<td align="center" valign="top">56 (23.7)</td>
</tr>
<tr>
<td align="left" valign="top">Multiplicity, <italic>n</italic> (%)</td>
<td align="center" valign="top">125 (10.7)</td>
<td align="center" valign="top">92 (9.9)</td>
<td align="center" valign="top">33 (14.0)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>AFS, alcohol flushing syndrome; SD, standard deviation.</p>
</table-wrap-foot>
</table-wrap>
<p>Aneurysm characteristics overall and according to rupture status are summarized in <xref rid="tab3" ref-type="table">Table 3</xref>. Overall, 90.4% were located in the anterior circulation. Among ruptured aneurysms, 86.9% were located at a bifurcation, 52.5% were greater than 7&#x2009;mm in diameter, and 71.2% were irregularly shaped.</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Aneurysm characteristics.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Characteristic</th>
<th align="center" valign="top">Total aneurysms (<italic>n</italic> =&#x2009;1,295)</th>
<th align="center" valign="top">Unruptured aneurysms (<italic>n</italic> =&#x2009;1,059)</th>
<th align="center" valign="top">Ruptured aneurysms (<italic>n</italic> =&#x2009;236)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Locations of aneurysms, <italic>n</italic> (%)</td>
</tr>
<tr>
<td align="left" valign="top">Anterior circulation aneurysms, <italic>n</italic> (%)</td>
<td align="center" valign="top">1,171 (90.4)</td>
<td align="center" valign="top">969 (91.5)</td>
<td align="center" valign="top">202 (85.6)</td>
</tr>
<tr>
<td align="left" valign="top">ICA</td>
<td align="center" valign="top">587 (45.3)</td>
<td align="center" valign="top">568 (53.6)</td>
<td align="center" valign="top">19 (8.1)</td>
</tr>
<tr>
<td align="left" valign="top">ACOM</td>
<td align="center" valign="top">169 (13.1)</td>
<td align="center" valign="top">104 (9.8)</td>
<td align="center" valign="top">65 (27.5)</td>
</tr>
<tr>
<td align="left" valign="top">PCOMA</td>
<td align="center" valign="top">202 (15.6)</td>
<td align="center" valign="top">125 (11.8)</td>
<td align="center" valign="top">77 (32.6)</td>
</tr>
<tr>
<td align="left" valign="top">MCA</td>
<td align="center" valign="top">159 (12.3)</td>
<td align="center" valign="top">131 (12.4)</td>
<td align="center" valign="top">28 (11.9)</td>
</tr>
<tr>
<td align="left" valign="top">ACA</td>
<td align="center" valign="top">54 (4.2)</td>
<td align="center" valign="top">41 (3.9)</td>
<td align="center" valign="top">13 (5.5)</td>
</tr>
<tr>
<td align="left" valign="top">Posterior circulation aneurysms<xref rid="tfn1" ref-type="table-fn"><sup>&#x002A;</sup></xref>, <italic>n</italic> (%)</td>
<td align="center" valign="top">124 (9.6)</td>
<td align="center" valign="top">90 (8.5)</td>
<td align="center" valign="top">34 (14.4)</td>
</tr>
<tr>
<td align="left" valign="top">Bifurcation aneurysm, <italic>n</italic> (%)</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">561 (43.3)</td>
<td align="center" valign="top">530 (50.0)</td>
<td align="center" valign="top">31 (13.1)</td>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">734 (56.7)</td>
<td align="center" valign="top">529 (50.0)</td>
<td align="center" valign="top">205 (86.9)</td>
</tr>
<tr>
<td align="left" valign="top">Size of largest aneurysm (mm)</td>
</tr>
<tr>
<td align="left" valign="top">&#x003C; 7&#x2009;mm, <italic>n</italic> (%)</td>
<td align="center" valign="top">910 (70.3)</td>
<td align="center" valign="top">798 (75.4)</td>
<td align="center" valign="top">112 (47.5)</td>
</tr>
<tr>
<td align="left" valign="top">&#x2265;&#x2009;7&#x2009;mm, <italic>n</italic> (%)</td>
<td align="center" valign="top">385 (29.7)</td>
<td align="center" valign="top">261 (24.6)</td>
<td align="center" valign="top">124 (52.5)</td>
</tr>
<tr>
<td align="left" valign="top">Aneurysm shape</td>
</tr>
<tr>
<td align="left" valign="top">Regular shape, <italic>n</italic> (%)</td>
<td align="center" valign="top">725 (56.0)</td>
<td align="center" valign="top">657 (62.0)</td>
<td align="center" valign="top">68 (28.8)</td>
</tr>
<tr>
<td align="left" valign="top">Irregular shape, <italic>n</italic> (%)</td>
<td align="center" valign="top">570 (44.0)</td>
<td align="center" valign="top">402 (38.0)</td>
<td align="center" valign="top">168 (71.2)</td>
</tr>
<tr>
<td align="left" valign="top">AR, median [IQR]</td>
<td align="center" valign="top">0.99 [0.86,1.18]</td>
<td align="center" valign="top">0.96 [0.85,1.15]</td>
<td align="center" valign="top">1.11 [0.93,1.34]</td>
</tr>
<tr>
<td align="left" valign="top">SR, median [IQR]</td>
<td align="center" valign="top">1.75 [1.16,2.85]</td>
<td align="center" valign="top">1.56 [1.06,2.44]</td>
<td align="center" valign="top">2.976 [2.04,4.22]</td>
</tr>
<tr>
<td align="left" valign="top">HWR, median[IQR]</td>
<td align="center" valign="top">1.39 [1.09,1.80]</td>
<td align="center" valign="top">1.35 [1.07,1.77]</td>
<td align="center" valign="top">1.57 [1.22,2.07]</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn1">
<label>&#x002A;</label>
<p>posterior circulation aneurysms comprised those located at the basilar tip, basilar-superior cerebellar artery junction, vertebral-posterior inferior cerebellar artery junction, and vertebrobasilar junction.</p>
</fn>
<p>ACA, anterior cerebral artery; ACOM, anterior cerebral-anterior communicating artery junction; AR, aspect ratio; HWR, height-width ratio; IQR, interquartile range; ICA, internal carotid artery; MCA, middle cerebral artery; PCOM, internal carotid-posterior communicating artery junction; SR, size ratio.</p>
</table-wrap-foot>
</table-wrap>
<p><xref rid="tab4" ref-type="table">Table 4</xref> shows patient characteristics overall and according to AFS status. The incidence of aneurysm rupture was significantly higher in patients without AFS (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001). Meanwhile, there was a significantly difference between the AFS and non-AFS group in habitual alcohol consumption (10.5 vs. 27.2%, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001; <xref rid="fig2" ref-type="fig">Figure 2A</xref>).</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Clinical characteristics of patients grouped according to presence of alcohol flushing syndrome.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Characteristic</th>
<th align="center" valign="top">Total patients (<italic>n</italic> =&#x2009;1,170)</th>
<th align="center" valign="top">No-AFS (<italic>n</italic> =&#x2009;760)</th>
<th align="center" valign="top">AFS (<italic>n</italic> =&#x2009;410)</th>
<th align="center" valign="top"><italic>p</italic> Value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Age</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.035</td>
</tr>
<tr>
<td align="left" valign="top">&#x003C; 50, <italic>n</italic> (%)</td>
<td align="center" valign="top">327 (28.0)</td>
<td align="center" valign="top">197 (25.9)</td>
<td align="center" valign="top">130 (31.7)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x2265;&#x2009;50, <italic>n</italic> (%)</td>
<td align="center" valign="top">843 (72.1)</td>
<td align="center" valign="top">563 (74.1)</td>
<td align="center" valign="top">280 (68.3)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Sex</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.183</td>
</tr>
<tr>
<td align="left" valign="top">Male, <italic>n</italic> (%)</td>
<td align="center" valign="top">469 (40.1)</td>
<td align="center" valign="top">294 (38.7)</td>
<td align="center" valign="top">175 (42.7)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Female, <italic>n</italic> (%)</td>
<td align="center" valign="top">701 (59.9)</td>
<td align="center" valign="top">466 (61.3)</td>
<td align="center" valign="top">235 (57.3)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">History of diabetes mellitus, <italic>n</italic> (%)</td>
<td align="center" valign="top">150 (12.8)</td>
<td align="center" valign="top">96 (12.6)</td>
<td align="center" valign="top">54 (13.2)</td>
<td align="center" valign="top">0.792</td>
</tr>
<tr>
<td align="left" valign="top">History of hypertension, <italic>n</italic> (%)</td>
<td align="center" valign="top">660 (56.4)</td>
<td align="center" valign="top">438 (57.6)</td>
<td align="center" valign="top">222 (54.2)</td>
<td align="center" valign="top">0.251</td>
</tr>
<tr>
<td align="left" valign="top">History of hyperlipidemia, <italic>n</italic> (%)</td>
<td align="center" valign="top">401 (34.3)</td>
<td align="center" valign="top">251 (33.0)</td>
<td align="center" valign="top">150 (36.6)</td>
<td align="center" valign="top">0.221</td>
</tr>
<tr>
<td align="left" valign="top">History of heart disease, <italic>n</italic> (%)</td>
<td align="center" valign="top">135 (11.5)</td>
<td align="center" valign="top">84 (11.1)</td>
<td align="center" valign="top">51 (12.4)</td>
<td align="center" valign="top">0.479</td>
</tr>
<tr>
<td align="left" valign="top">History of ischemic stroke, <italic>n</italic> (%)</td>
<td align="center" valign="top">154 (13.2)</td>
<td align="center" valign="top">97 (12.8)</td>
<td align="center" valign="top">57 (13.9)</td>
<td align="center" valign="top">0.582</td>
</tr>
<tr>
<td align="left" valign="top">Smoking&#xFF0C;<italic>n</italic> (%)</td>
<td align="center" valign="top">339 (29.0)</td>
<td align="center" valign="top">217 (28.6)</td>
<td align="center" valign="top">122 (29.8)</td>
<td align="center" valign="top">0.665</td>
</tr>
<tr>
<td align="left" valign="top">Alcohol habit, <italic>n</italic> (%)</td>
<td align="center" valign="top">250 (21.4)</td>
<td align="center" valign="top">207 (27.2)</td>
<td align="center" valign="top">43 (10.5)</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Ruptured aneurysms, <italic>n</italic> (%)</td>
<td align="center" valign="top">236 (20.2)</td>
<td align="center" valign="top">180 (23.7)</td>
<td align="center" valign="top">56 (13.7)</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Multiplicity, <italic>n</italic> (%)</td>
<td align="center" valign="top">125 (10.7)</td>
<td align="center" valign="top">85 (11.2)</td>
<td align="center" valign="top">40 (9.8)</td>
<td align="center" valign="top">0.451</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>AFS, alcohol flushing syndrome.</p>
</table-wrap-foot>
</table-wrap>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p><bold>(A)</bold> Prevalence of habitual alcohol drinking in patients with and without alcohol flushing syndrome. <bold>(B)</bold> Prevalence of ruptured aneurysm with patients stratified according to both habitual alcohol drinking and presence of alcohol flushing syndrome. OR, odds ratio; CI, confidence interval; AFS, alcohol flushing syndrome.</p>
</caption>
<graphic xlink:href="fneur-14-1118980-g002.tif"/>
</fig>
<sec id="sec12">
<title>Univariate and multivariate analyses</title>
<p>In the univariate analyses (<xref rid="tab5" ref-type="table">Table 5</xref>), female sex (OR 1.63; 95% CI, 1.22&#x2013;2.17), history of ischemic stroke (OR 0.42; 95% CI, 0.25&#x2013;0.72), smoking (OR 1.68; 95% CI, 1.25&#x2013;2.25), habitual alcohol drinking (OR 1.97; 95% CI, 1.43&#x2013;2.70), AFS (OR 0.49; 95% CI, 0.34&#x2013;0.72), aneurysm size &#x2265;&#x2009;7&#x2009;mm (OR 3.39; 95% CI, 2.53&#x2013;4.53), bifurcation location (OR 6.63; 95% CI, 4.46&#x2013;9.85), posterior circulation location (OR 1.93; 95% CI, 1.18&#x2013;2.79), irregular shape (OR 4.04; 95% CI, 2.97&#x2013;5.49), aneurysm AR (OR 1.60; 95% CI, 1.31&#x2013;1.97), aneurysm SR (OR 1.51; 95% CI, 1.38&#x2013;1.64), and aneurysm HWR (OR 2.67; 95% CI, 1.76&#x2013;4.06) were significantly associated with IAR.</p>
<table-wrap position="float" id="tab5">
<label>Table 5</label>
<caption>
<p>Results of univariate and multivariate regression analyses.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Characteristic</th>
<th align="center" valign="top" colspan="2">Univariate analysis</th>
<th align="center" valign="top" colspan="2">Multivariate analysis</th>
<th align="center" valign="top"><italic>p</italic>-Value</th>
<th align="center" valign="top">OR (95% CI)</th>
<th align="center" valign="top"><italic>p</italic>-Value</th>
<th align="center" valign="top">OR (95% CI)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">0.001</td>
<td align="center" valign="top">1.63 (1.22&#x2013;2.17)</td>
<td align="center" valign="top">0.16</td>
<td align="center" valign="top">1.35 (0.89&#x2013;2.06)</td>
</tr>
<tr>
<td align="left" valign="top">Age</td>
<td align="center" valign="top">0.07</td>
<td align="center" valign="top">0.99 (0.97&#x2013;1.01)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">History of diabetes mellitus</td>
<td align="center" valign="top">0.78</td>
<td align="center" valign="top">0.94 (0.61&#x2013;1.45)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">History of hypertension</td>
<td align="center" valign="top">0.193</td>
<td align="center" valign="top">1.21 (0.91&#x2013;1.62)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">History of hyperlipidemia</td>
<td align="center" valign="top">0.095</td>
<td align="center" valign="top">0.77 (0.56&#x2013;1.05)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">History of heart disease</td>
<td align="center" valign="top">0.687</td>
<td align="center" valign="top">1.09 (0.71&#x2013;1.70)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Smoking</td>
<td align="center" valign="top">0.001</td>
<td align="center" valign="top">1.68 (1.25&#x2013;2.25)</td>
<td align="center" valign="top">0.094</td>
<td align="center" valign="top">1.49 (0.94&#x2013;2.36)</td>
</tr>
<tr>
<td align="left" valign="top">Alcohol habit</td>
<td align="center" valign="top">&#x003C; 0.001</td>
<td align="center" valign="top">1.97 (1.43&#x2013;2.70)</td>
<td align="center" valign="top">0.876</td>
<td align="center" valign="top">1.04 (0.65&#x2013;1.66)</td>
</tr>
<tr>
<td align="left" valign="top">Alcohol flushing syndrome</td>
<td align="center" valign="top">&#x003C; 0.001</td>
<td align="center" valign="top">0.49 (0.34&#x2013;0.72)</td>
<td align="center" valign="top">&#x003C; 0.001</td>
<td align="center" valign="top">0.50 (0.35&#x2013;0.71)</td>
</tr>
<tr>
<td align="left" valign="top">History of ischemic stroke</td>
<td align="center" valign="top">0.002</td>
<td align="center" valign="top">0.42 (0.25&#x2013;0.72)</td>
<td align="center" valign="top">&#x003C; 0.001</td>
<td align="center" valign="top">0.38 (0.22&#x2013;0.65)</td>
</tr>
<tr>
<td align="left" valign="top">Posterior circulation aneurysms</td>
<td align="center" valign="top">0.006</td>
<td align="center" valign="top">1.93 (1.18&#x2013;2.79)</td>
<td align="center" valign="top">0.463</td>
<td align="center" valign="top">1.20 (0.73&#x2013;1.98)</td>
</tr>
<tr>
<td align="left" valign="top">Bifurcation</td>
<td align="center" valign="top">&#x003C; 0.001</td>
<td align="center" valign="top">6.63 (4.46&#x2013;9.85)</td>
<td align="center" valign="top">&#x003C; 0.001</td>
<td align="center" valign="top">4.90 (3.6&#x2013;8.32)</td>
</tr>
<tr>
<td align="left" valign="top">Irregular shape</td>
<td align="center" valign="top">&#x003C; 0.001</td>
<td align="center" valign="top">4.04 (2.97&#x2013;5.49)</td>
<td align="center" valign="top">&#x003C; 0.001</td>
<td align="center" valign="top">2.87 (2.05&#x2013;4.01)</td>
</tr>
<tr>
<td align="left" valign="top">&#x2265;7&#x2009;mm</td>
<td align="center" valign="top">&#x003C; 0.001</td>
<td align="center" valign="top">3.39 (2.53&#x2013;4.53)</td>
<td align="center" valign="top">&#x003C; 0.001</td>
<td align="center" valign="top">2.17 (1.46&#x2013;3.24)</td>
</tr>
<tr>
<td align="left" valign="top">Aspect ratio</td>
<td align="center" valign="top">&#x003C; 0.001</td>
<td align="center" valign="top">1.60 (1.31&#x2013;1.97)</td>
<td align="center" valign="top">0.164</td>
<td align="center" valign="top">0.80 (0.58&#x2013;1.10)</td>
</tr>
<tr>
<td align="left" valign="top">Size ratio</td>
<td align="center" valign="top">&#x003C; 0.001</td>
<td align="center" valign="top">1.51 (1.38&#x2013;1.64)</td>
<td align="center" valign="top">&#x003C; 0.001</td>
<td align="center" valign="top">1.25 (1.12&#x2013;1.41)</td>
</tr>
<tr>
<td align="left" valign="top">Height/width ratio</td>
<td align="center" valign="top">&#x003C; 0.001</td>
<td align="center" valign="top">2.67 (1.76&#x2013;4.06)</td>
<td align="center" valign="top">0.073</td>
<td align="center" valign="top">1.54 (0.96&#x2013;2.46)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>OR, odds ratio; CI, confidence interval.</p>
</table-wrap-foot>
</table-wrap>
<p>In the multivariate analysis (<xref rid="tab5" ref-type="table">Table 5</xref>), AFS (OR 0.50, 95% CI 0.35&#x2013;0.71), history of ischemic stroke (OR 0.38; 95% CI, 0.22&#x2013;0.65), aneurysm size &#x2265;&#x2009;7&#x2009;mm (OR 2.17; 95% CI, 1.46&#x2013;3.24), bifurcation location (OR 4.9; 95% CI, 3.6&#x2013;8.32), irregular shape (OR 2.87; 95% CI, 2.05&#x2013;4.01), and aneurysm SR (OR 1.25, 95% CI 0.96&#x2013;2.46) were independent predictors of aneurysmal rupture.</p>
<p>Because of the significant interaction between AFS and habitual alcohol drinking, we performed an analysis with patients stratified according to both categories. Among patients who did not habitually drink alcohol, the prevalence of ruptured aneurysm in the AFS and no AFS subgroups was 13.9 and 19.9%, respectively, and the odds of IAR were significantly higher in those without AFS (OR 1.54; 95% CI, 1.07&#x2013;2.21; <italic>p</italic>&#x2009;=&#x2009;0.02). Among habitual drinkers, the prevalence of IAR in the AFS and no AFS subgroups was 11.6 and 33.8%, respectively, and the odds of IAR were also significantly higher in those without AFS (OR 3.88; 95% CI, 1.55&#x2013;9.75; <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001; <xref rid="fig2" ref-type="fig">Figure 2B</xref>). Univariate analysis (<xref rid="tab6" ref-type="table">Table 6</xref>) showed that hypertension (OR 1.54; 95% CI, 1.06&#x2013;2.22), history of ischemic stroke (OR 0.37; 95% CI, 0.18&#x2013;0.77), and AFS (OR 0.63; 95% CI, 0.44&#x2013;0.92) were significantly associated with IAR in patients without a drinking habit; in the multivariate analysis, AFS (OR 0.69; 95% CI, 0.49&#x2013;0.96) was independently associated with IAR. In habitual alcohol drinkers, multivariate analysis showed that AFS (OR 0.11; 95% CI, 0.03&#x2013;0.45) was also independently associated with IAR.</p>
<table-wrap position="float" id="tab6">
<label>Table 6</label>
<caption>
<p>Univariate and multivariate regression analyses for rupture of intracranial aneurysm in patients with and without a drinking habit.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Characteristic</th>
<th align="center" valign="top" colspan="4">Non-habitual drinkers</th>
<th align="center" valign="top" colspan="4">Habitual drinkers</th>
<th align="center" valign="top" colspan="2">Univariate analysis</th>
<th align="center" valign="top" colspan="2">Multivariate analysis</th>
<th align="center" valign="top" colspan="2">Univariate analysis</th>
<th align="center" valign="top" colspan="2">Multivariate analysis</th>
<th align="center" valign="top"><italic>p</italic>-Value</th>
<th align="center" valign="top">OR (95% CI)</th>
<th align="center" valign="top"><italic>p</italic>-Value</th>
<th align="center" valign="top">OR (95% CI)</th>
<th align="center" valign="top"><italic>p</italic>-Value</th>
<th align="center" valign="top">OR (95% CI)</th>
<th align="center" valign="top"><italic>p</italic>-Value</th>
<th align="center" valign="top">OR (95% CI)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">0.132</td>
<td align="center" valign="top">0.70 (0.44&#x2013;1.11)</td>
<td/>
<td/>
<td align="center" valign="top">0.183</td>
<td align="center" valign="top">0.98 (0.95&#x2013;1.01)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Age</td>
<td align="center" valign="top">0.334</td>
<td align="center" valign="top">0.99 (0.97&#x2013;1.01)</td>
<td/>
<td/>
<td align="center" valign="top">0.514</td>
<td align="center" valign="top">1.52 (0.43&#x2013;5.36)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">History of diabetes mellitus</td>
<td align="center" valign="top">0.987</td>
<td align="center" valign="top">1.00 (0.57&#x2013;1.75)</td>
<td/>
<td/>
<td align="center" valign="top">0.364</td>
<td align="center" valign="top">0.71 (0.34&#x2013;1.48)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">History of hypertension</td>
<td align="center" valign="top">0.022</td>
<td align="center" valign="top">1.54 (1.06&#x2013;2.22)</td>
<td align="center" valign="top">0.128</td>
<td align="center" valign="top">1.50 (0.93&#x2013;1.83)</td>
<td align="center" valign="top">0.328</td>
<td align="center" valign="top">0.76 (0.43&#x2013;1.33)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">History of hyperlipidemia</td>
<td align="center" valign="top">0.120</td>
<td align="center" valign="top">0.74 (0.50&#x2013;1.08)</td>
<td/>
<td/>
<td align="center" valign="top">0.221</td>
<td align="center" valign="top">0.70 (0.40&#x2013;1.24)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">History of heart disease</td>
<td align="center" valign="top">0.726</td>
<td align="center" valign="top">0.90 (0.48&#x2013;1.66)</td>
<td/>
<td/>
<td align="center" valign="top">0.207</td>
<td align="center" valign="top">1.57 (0.78&#x2013;3.16)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Smoking</td>
<td align="center" valign="top">0.680</td>
<td align="center" valign="top">1.12 (0.65&#x2013;1.95)</td>
<td/>
<td/>
<td align="center" valign="top">0.551</td>
<td align="center" valign="top">1.28 (0.57&#x2013;2.85)</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">AFS</td>
<td align="center" valign="top">0.016</td>
<td align="center" valign="top">0.63 (0.44&#x2013;0.92)</td>
<td align="center" valign="top">0.042</td>
<td align="center" valign="top">0.69 (0.49&#x2013;0.96)</td>
<td align="center" valign="top">0.002</td>
<td align="center" valign="top">0.10 (0.02&#x2013;0.41)</td>
<td align="center" valign="top">0.002</td>
<td align="center" valign="top">0.11 (0.03&#x2013;0.45)</td>
</tr>
<tr>
<td align="left" valign="top">History of ischemic stroke</td>
<td align="center" valign="top">0.007</td>
<td align="center" valign="top">0.37 (0.18&#x2013;0.77)</td>
<td align="center" valign="top">0.015</td>
<td align="center" valign="top">0.42 (0.21&#x2013;0.85)</td>
<td align="center" valign="top">0.050</td>
<td align="center" valign="top">0.43 (0.18&#x2013;1.00)</td>
<td align="center" valign="top">0.191</td>
<td align="center" valign="top">0.53 (0.20&#x2013;1.37)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>AFS, alcohol flushing syndrome; OR, odds ratio; CI, confidence interval.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec13">
<title>Discussion</title>
<p>Our study is the first to identify AFS as a possible new clinical marker for assessing the risk of intracranial aneurysm rupture. Conventional factors like history of ischemic stroke, bifurcation location, irregular shape, aneurysm size &#x2265;&#x2009;7&#x2009;mm, and aneurysm SR were also independently associated with aneurysmal rupture.</p>
<p>Facial flushing in patients with AFS occurs because of expansion of facial blood vessels and a temporary increase in facial blood flow after drinking alcohol (<xref ref-type="bibr" rid="ref29">29</xref>). The underlying cause is accumulation of acetaldehyde, an alcohol metabolite (<xref ref-type="bibr" rid="ref30">30</xref>). A subset of Asians, including the Chinese Han population, have a mutation in the ALDH2 gene that generates inactive ALDH2, an enzyme that scavenges and detoxifies acetaldehyde and other toxic aldehydes (<xref ref-type="bibr" rid="ref12">12</xref>). These Asians have a higher prevalence of facial flushing than those without the mutation (<xref ref-type="bibr" rid="ref31">31</xref>, <xref ref-type="bibr" rid="ref32">32</xref>). Epidemiological surveys have shown that ALDH2 gene polymorphisms are strongly linked to an increased incidence of stroke and cardiovascular risk factors (<xref ref-type="bibr" rid="ref33">33</xref>). Several studies have identified the ALDH2&#x002A;2 allele as an independent risk factor for ischemic stroke and cerebral infarction in the Chinese population (<xref ref-type="bibr" rid="ref22">22</xref>, <xref ref-type="bibr" rid="ref34">34</xref>). Additionally, studies have indicated that the ALDH2&#x002A;1 allele appears to be a significant risk factor for ischemic stroke (<xref ref-type="bibr" rid="ref35">35</xref>), multiple lacunar infarction (<xref ref-type="bibr" rid="ref36">36</xref>), and stroke (<xref ref-type="bibr" rid="ref37">37</xref>, <xref ref-type="bibr" rid="ref38">38</xref>) in Asian populations.</p>
<p>AFS is a reliable proxy marker for ALDH2 genetic variants in East Asian populations and can be used to identify subjects with ALDH2 deficiency (<xref ref-type="bibr" rid="ref16 ref17 ref18">16&#x2013;18</xref>). In our study, we identified patients with AFS using an alcohol flushing questionnaire and found that AFS was negatively associated with IAR in a population of Chinese Han patients with intracranial aneurysms. One possible explanation for this is that the prevalence of habitual drinkers without AFS is higher than that of patients with AFS. Patients with AFS may experience facial flushing, headache, palpitations, and nausea after drinking alcohol. These adverse physiological reactions to alcohol consumption can reduce the patient&#x2019;s dependence on alcohol and reduce alcohol intake (<xref ref-type="bibr" rid="ref12">12</xref>, <xref ref-type="bibr" rid="ref15">15</xref>, <xref ref-type="bibr" rid="ref39">39</xref>). We compared the clinical characteristics of patients with and without AFS and showed that prevalence of habitual drinking and aneurysm rupture were higher in patients without AFS. Notably, previous studies, including the work by Can et al. (<xref ref-type="bibr" rid="ref40">40</xref>), have found a significant correlation between alcohol use and the risk of IAR. ALDH2 polymorphisms might be linked to aneurysmal rupture because of their association with alcohol drinking behavior. Wang et al. (<xref ref-type="bibr" rid="ref37">37</xref>) showed that the ALDH2&#x002A;2 allele, which is phenotypically expressed as AFS, has a protective effect against stroke in Han Chinese individuals with a history of heavy alcohol consumption. The study also found that excessive alcohol intake can worsen ischemic brain injury by suppressing ALDH2 gene activity (<xref ref-type="bibr" rid="ref39">39</xref>). However, AFS was independently associated with IAR in our multivariate logistic regression model, which adjusted for all other rupture risk factors, including habitual drinking. Analysis with patients grouped according to drinking habits showed that AFS was independently associated with IAR after adjusting for other confounding factors, regardless of drinking habits (<xref rid="tab6" ref-type="table">Table 6</xref>). Therefore, the effect of AFS on aneurysmal rupture may be independent of drinking behavior. One possible explanation is that ALDH2 may have other effects on blood vessels in addition to its effects on alcohol metabolism. ALDH2 is expressed in multiple organs, such as the liver, kidney, and myocardium (<xref ref-type="bibr" rid="ref41">41</xref>, <xref ref-type="bibr" rid="ref42">42</xref>), and has the potential to influence hormonal and lipid metabolism systems due to its polymorphisms. Several studies have shown that ALDH2 is associated with nitric oxide production in the vascular endothelium (<xref ref-type="bibr" rid="ref43">43</xref>, <xref ref-type="bibr" rid="ref44">44</xref>), which may lead to endothelial apoptosis and oxidative stress (<xref ref-type="bibr" rid="ref36">36</xref>). These effects may promote structural remodeling and fragility in aneurysm walls that eventually result in rupture (<xref ref-type="bibr" rid="ref45">45</xref>, <xref ref-type="bibr" rid="ref46">46</xref>). In addition, Yang et al. (<xref ref-type="bibr" rid="ref11">11</xref>) found that ALDH2 deficiency reduces the risk of aortic aneurysm and dissection in mice and humans <italic>via</italic> microRNA-mediated phenotypic switching of aortic vascular wall cells. However, the relevance of this mechanism in intracranial aneurysms has not been investigated.</p>
<p>In our study, 86.9% of RIAs were located at a bifurcation. In the multivariate model, bifurcation location was independently associated with increased odds of rupture (OR, 4.9). At an arterial bifurcation, the arterial wall is constantly in a weakened state because of high hemodynamic pressure and high blood flow, which explains the higher risk of rupture at these locations (<xref ref-type="bibr" rid="ref47">47</xref>). In addition, aneurysm size &#x2265;&#x2009;7&#x2009;mm was also independently associated with rupture (OR, 2.17), which is consistent with previous reports (<xref ref-type="bibr" rid="ref8">8</xref>, <xref ref-type="bibr" rid="ref48">48</xref>). However, Aoki (<xref ref-type="bibr" rid="ref49">49</xref>) reported that SR, not aneurysm size, predicts rupture in UIAs. The increased risk of rupture with increasing SR is attributed to the presence of more dangerous hemodynamic features in aneurysms with higher SR (<xref ref-type="bibr" rid="ref50">50</xref>). Our study also found that both SR and irregular shape are independently associated with rupture.</p>
<p>Interestingly, history of ischemic stroke was associated with lower odds of aneurysmal rupture. Statins and antiplatelet agents are commonly used for prevention of stroke in patients with hyperlipidemia and those with a previous ischemic stroke. Several recent studies have emphasized the potential protective effect of these agents for aneurysmal rupture (<xref ref-type="bibr" rid="ref51 ref52 ref53 ref54 ref55 ref56">51&#x2013;56</xref>). Potential mechanisms include anti-inflammatory effects, stimulation of extracellular matrix production, and chemotactic migration of mesenchymal progenitor cells to stabilize aneurysm walls (<xref ref-type="bibr" rid="ref57">57</xref>, <xref ref-type="bibr" rid="ref58">58</xref>).</p>
<p>To the best of our knowledge, the relationship between AFS and intracranial aneurysm rupture has not been investigated in other populations. However, there is considerable subjectivity in AFS data obtained <italic>via</italic> questionnaires alone. Several studies have shown the presence of the alcohol dehydrogenase 2&#x002A;2 allele in East Asians, which encodes a hyperactive form of alcohol dehydrogenase 2 that presents with AFS because acetaldehyde accumulates faster than ALDH2 can metabolize it (<xref ref-type="bibr" rid="ref59">59</xref>); however, this polymorphism is found in a very low percentage of the population (<xref ref-type="bibr" rid="ref17">17</xref>). Although we found an association between AFS and intracranial aneurysm rupture, single nucleotide sequencing would be required to determine the responsible gene and polymorphism.</p>
<p>This study has several other limitations. First, it was retrospective and conducted in a single center, so bias may have been introduced. Moreover, our data did not include amount of alcohol consumed, which almost certainly influences the association between AFS and aneurysmal rupture. Second, the alcohol flushing questionnaire used did not evaluate alcohol-related symptoms other than flushing, nor did it assess AFS severity. This lack of discrimination could potentially overestimate the accuracy of identifying ALDH2 gene mutations. Questionnaires may be more sensitive in detecting alcohol-related symptoms such as sleepiness, nausea, headache, and throbbing, according to several studies (<xref ref-type="bibr" rid="ref60">60</xref>, <xref ref-type="bibr" rid="ref61">61</xref>). Finally, the characteristics of an aneurysm, such as AR, size, and SR, may be subject to change following rupture, which could have introduced bias in previous research.</p>
</sec>
</sec>
<sec id="sec14" sec-type="conclusions">
<title>Conclusion</title>
<p>AFS may be a novel clinical marker to assess the risk of intracranial aneurysm rupture. Subgroup analysis and multivariate regression analysis revealed that the association between AFS and IAR exists independently of alcohol consumption. This implies that there may be a potential pathophysiological link between ADLH2 gene polymorphisms and the development and rupture of intracranial aneurysms. Further single nucleotide polymorphism testing and molecular biology studies are warranted.</p>
</sec>
<sec id="sec15" 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 authors.</p>
</sec>
<sec id="sec16">
<title>Ethics statement</title>
<p>The studies involving human participants were reviewed and approved by Ethics Committee of Beijing Tiantan Hospital. The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="sec17">
<title>Author contributions</title>
<p>YL and ML: conception and design. XC, SG, and DD: data collection and patient follow-up. SG, LD, LZ, DW, JJ, HG, and PL: analysis and interpretation of data. XC and SG: drafting the article. XC, SG, DD, LD, LZ, DW, JJ, HG, PL, ML, and YL: critical revision. YL: approval of the final version on behalf of all authors. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="sec18" sec-type="funding-information">
<title>Funding</title>
<p>The National Natural Science Foundation of China (grant nos. 82271319 and 82171289) and Natural Science Foundation of Hebei Province of China (grant no. F2020202053) supported this study.</p>
</sec>
<sec id="conf1" 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>
<p>The reviewer BJ declared a shared affiliation with the author(s) to the handling editor at the time of review.</p>
</sec>
<sec id="sec100" 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>
</body>
<back>
<ack>
<p>We thank all participants of the study and also Liwen Bianji (Edanz; <ext-link xlink:href="https://www.liwenbianji.cn" ext-link-type="uri">https://www.liwenbianji.cn</ext-link>) for language editing a draft of this manuscript.</p>
</ack>
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