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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Endocrinol.</journal-id>
<journal-title>Frontiers in Endocrinology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Endocrinol.</abbrev-journal-title>
<issn pub-type="epub">1664-2392</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fendo.2025.1599158</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Endocrinology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Serum uric acid to creatinine ratio and long-term target vessel events in diabetes patients undergoing PCI with drug-eluting stents implantation: a retrospective study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Cui</surname>
<given-names>Penghui</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1895429/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Shuting</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Zherui</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Wang</surname>
<given-names>Ruihua</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Cardiology, Changzhi People&#x2019;s Hospital</institution>, <addr-line>Changzhi</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Endocrinology, Changzhi Medical College</institution>, <addr-line>Changzhi</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>School of Public Health, Jilin University</institution>, <addr-line>Changchun</addr-line>,&#xa0;<country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Jerzy Beltowski, Medical University of Lublin, Poland</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Brendon Pearce, Stellenbosch University, South Africa</p>
<p>Takuma Inagawa, National Center of Neurology and Psychiatry, Japan</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Ruihua Wang, <email xlink:href="mailto:wrh9798@163.com">wrh9798@163.com</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>27</day>
<month>06</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1599158</elocation-id>
<history>
<date date-type="received">
<day>24</day>
<month>03</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>02</day>
<month>06</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Cui, Wang, Zhang and Wang</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Cui, Wang, Zhang and Wang</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>Aim</title>
<p>This study aimed to investigate the association between the serum uric acid to creatinine ratio (SUA/Cr) and long-term target vessel events (TVEs) in diabetes mellitus (DM) patients undergoing percutaneous coronary intervention (PCI) with drug-eluting stents (DES).</p>
</sec>
<sec>
<title>Methods</title>
<p>From July 2009 to August 2011, a total of 2533 patients with coronary heart disease (CHD) who underwent PCI with DES implantation were enrolled to evaluate the relationship between the SUA/Cr and TVEs during a median follow-up of 29.8 months. Multivariable logistic regression and restricted cubic spline analyses were performed, and subgroup analyses were conducted to explore potential effect modifiers.</p>
</sec>
<sec>
<title>Results</title>
<p>The TVEs were significantly associated with previous male gender (OR=1.58, 95%CI: 1.07~2.32, p=0.021), PCI (OR=3.58, 95% CI: 2.27~5.67, p&lt;0.001),previous stroke(OR=2.19,95%CI:1.24~3.89,p=0.007),triglyceride(OR=1.15, 95%CI:1.06~1.26, p=0.002), length of stent (OR=1.01, 95%CI:1~1.01, p&lt;0.001), and diameter of stent (OR=0.62,95%CI:0.41~0.92,p=0.019). In DM patients, Multivariable logistic regression analyses revealed that higher SUA/Cr was independently associated with a reduced risk of TVEs (adjusted OR=0.72, 95% CI: 0.53&#x2013;0.97, p=0.031). Restricted cubic spline analysis confirmed a linear inverse relationship between SUA/Cr and TVEs (p for non-linearity=0.782). Subgroup analyses revealed stronger protective effects in non-smokers and non-ST elevation acute coronary syndrome (NSTE-ACS) patients within the DM cohort.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>A higher SUA/Cr is independently associated with a reduced risk of TVEs in DM patients undergoing PCI with DES. SUA/Cr holds promise as a potential prognostic biomarker for risk stratification in DM patients undergoing PCI.</p>
</sec>
</abstract>
<kwd-group>
<kwd>diabetes mellitus</kwd>
<kwd>coronary heart disease</kwd>
<kwd>target vessel events</kwd>
<kwd>serum uric acid to creatinine ratio</kwd>
<kwd>percutaneous coronary intervention</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="39"/>
<page-count count="13"/>
<word-count count="6152"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Cardiovascular Endocrinology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Diabetes mellitus (DM) is an escalating global health challenge and a well-established risk factor for coronary heart disease (<xref ref-type="bibr" rid="B1">1</xref>). Its rising prevalence has led to a growing burden of cardiovascular complications. Compared to non-DM individuals, DM patients undergoing percutaneous coronary intervention (PCI) face a significantly higher incidence of postoperative target vessel events (TVEs), including target vessel revascularization (TVR) and in-stent restenosis (ISR), resulting in poorer long-term outcomes (<xref ref-type="bibr" rid="B2">2</xref>). Given these risks, the identification of reliable biomarkers for more precise risk stratification and improved post-PCI management in DM patients is of critical clinical importance.</p>
<p>Serum uric acid (SUA), the end product of purine metabolism, has long been implicated in the pathogenesis of cardiovascular events (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B4">4</xref>) However, its role as an independent predictor of cardiovascular risk remains controversial (<xref ref-type="bibr" rid="B5">5</xref>&#x2013;<xref ref-type="bibr" rid="B7">7</xref>). Some studies suggest that elevated SUA levels contribute to an increased risk of atherosclerosis and cardiovascular events by inducing oxidative stress, inflammation, and endothelial dysfunction (<xref ref-type="bibr" rid="B8">8</xref>). Conversely, other research indicates that uric acid may exert antioxidant properties under certain conditions, offering potential protective effects on the cardiovascular system (<xref ref-type="bibr" rid="B9">9</xref>&#x2013;<xref ref-type="bibr" rid="B11">11</xref>). Given these conflicting findings, relying solely on SUA as a cardiovascular risk marker may be inherently limited. Since SUA levels are largely influenced by renal excretion, recent studies have increasingly focused on renal function-normalized SUA, expressed as the serum uric acid to creatinine ratio (SUA/Cr), as a more robust biomarker. Emerging evidence suggests that SUA/Cr is closely associated with metabolic disorders and plays a crucial role in predicting the progression and prognosis of acute myocardial infarction (AMI), heart failure, hypertension, diabetes, hypertensive disorders of pregnancy, ischemic stroke, and fatty liver disease (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B12">12</xref>&#x2013;<xref ref-type="bibr" rid="B20">20</xref>). On the other hand, there is a lack of data on the clinical value of SUA/Cr in patients with diabetes undergoing PCI, and few published large-scale validation studies&#x2002;have included this population. In addition, the vast majority&#x2002;of available research have concentrated either upon the independent effects of SUA or Cr on long-term outcomes in DM patients with coronary artery disease (CAD) while the possible prognostic value of SUA/Cr as an independent risk predictor was less extensively explored.</p>
<p>Although recent studies, such as the URRAH project by D&#x2019;Elia et&#xa0;al. (<xref ref-type="bibr" rid="B12">12</xref>), have suggested a potential association between SUA/Cr and cardiovascular mortality in diabetic individuals, these studies primarily focused on all-cause or cardiovascular mortality without evaluating PCI-specific outcomes. Similarly, Casiglia et&#xa0;al. (<xref ref-type="bibr" rid="B21">21</xref>) reported prognostic cut-off values for SUA/Cr in general cardiovascular events but did not explore post-PCI restenosis or revascularization events. Importantly, to our knowledge, no prior large-scale study has comprehensively evaluated the prognostic significance of SUA/Cr on long-term TVEs, specifically in the high-risk diabetic population undergoing PCI with drug-eluting stents (DES). Thus, our study fills this critical gap by providing focused insights into the association between SUA/Cr and post-PCI vascular outcomes.</p>
<p>Therefore, the aim of this study was to examine the potential association between SUA/Cr and the risk of long-term TVEs in patients with DM undergoing PCI with DES implantation. Our prespecified hypothesis was that a higher SUA/Cr ratio would be independently associated with an increased risk of long-term TVEs, offering novel insights into cardiovascular risk stratification for DM patients.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Study design and population</title>
<p>This retrospective cohort study utilized a publicly available dataset from patients who underwent PCI with drug-eluting stents (DES) at the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, between July 2009 and August 2011. The original cohort comprised 2,533 patients diagnosed with coronary artery disease (CAD).</p>
<p>After applying exclusion criteria&#x2014;patients with implausible values (n = 2), incomplete data (n = 422), and outliers in the serum uric acid to creatinine ratio (SUA/Cr, below the 0.5th or above the 99.5th percentile, n = 22)&#x2014;a final cohort of 2,087 patients was included in the analysis.</p>
<p>All patients underwent PCI following standard protocols, with a median follow-up duration of 29.8 months (interquartile range: 25.6&#x2013;34.0 months). The dataset was accessed from the Dryad repository (<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5061/dryad.13d31">https://doi.org/10.5061/dryad.13d31</ext-link>) and was originally published by Yao et&#xa0;al. (<xref ref-type="bibr" rid="B22">22</xref>).</p>
<p>This study adheres to the Declaration of Helsinki and received a waiver for informed consent due to the secondary use of publicly available data. A detailed flowchart of participant selection is provided in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Flowchart of participant selection. PCI, percutaneous coronary intervention; Cr, creatinine; UA, uric acid; DM, diabetes mellitus; SBP, systolic blood pressure; TC, total cholesterol; TG, triglyceride; LDL-C, low-density lipoprotein cholesterol; ACEI, angiotensin converting enzyme inhibitor.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-16-1599158-g001.tif">
<alt-text content-type="machine-generated">Flowchart detailing the exclusion process for a study on patients who underwent PCI between July 2009 and August 2011. Initially, 2,533 patients were considered. Exclusions included 2 patients for confusing data, 236 for missing data regarding creatinine and uric acid, and 186 for multiple criteria such as age, heart failure, and hypertension. Additionally, 22 outliers were excluded based on SUA/Cr levels. The final sample consisted of 2,087 study patients, divided into 1,639 non-diabetic and 448 diabetic individuals.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Data collection</title>
<p>Data collection encompassed baseline demographics, clinical characteristics, comorbidities, laboratory test results, procedural details, and follow-up information. These data were recorded electronically and obtained from various sources, including hospital electronic medical records, medical insurance data, telephone interviews, and in-person follow-ups at the research site.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Definitions</title>
<p>The SUA/Cr was calculated as the ratio of SUA (&#xb5;mol/L) to serum creatinine (&#xb5;mol/L). Smoking history was defined as any smoking within the past 10 years. DM was defined as a fasting plasma glucose level &gt;6.1 mmol/L, hemoglobin A1c &gt;6.5%, or current treatment with insulin or oral hypoglycemic agents. Hypertension was defined as systolic blood pressure (SBP) &#x2265;140 mmHg, diastolic blood pressure (DBP) &#x2265;90 mmHg, or the use of antihypertensive medications. The estimated glomerular filtration rate (eGFR) was calculated using the modified MDRD equation: eGFR=175&#xd7;SCr<sup>&#x2212;1.234</sup>&#xd7;Age<sup>&#x2212;0.179</sup>&#xd7;0.79&#x2009;(if female), where SCr is serum creatinine in mg/dL, Age is in years (<xref ref-type="bibr" rid="B23">23</xref>). TVR was defined as any repeat revascularization, either PCI or coronary artery bypass graft (CABG), within the target vessel. ISR was defined as &#x2265;50% diameter stenosis within the stented segment, as identified by follow-up coronary angiography.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Study outcomes</title>
<p>For cardiovascular disease events, an independent clinical endpoint committee adjudicated all outcomes strictly according to established guidelines and contemporary diagnostic criteria. The primary endpoint of TVE was defined as a composite of TVR and ISR, ensuring precise and standardized outcome assessment.</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Statistical analysis</title>
<p>Continuous variables were expressed as mean &#xb1; standard deviation (SD) for normally distributed data or median with interquartile range (IQR) for skewed data. Categorical variables were presented as frequencies and percentages. Differences between groups were assessed using the chi-square test for categorical variables, one-way ANOVA for normally distributed continuous variables, and the Kruskal-Wallis test for skewed continuous variables.</p>
<p>Univariate and multivariate logistic regression analyses were conducted to evaluate the association between SUA/Cr and TVEs. Covariates for the multivariate models were selected based on a univariate p-value &lt;0.1 or clinical relevance. Clinically important variables, even if not statistically significant, were included based on prior research and clinical judgment. The restricted cubic splines were used to assess whether there was a linear or nonlinear correlation between SUA/Cr and TVEs in patients with DM (with a threshold of P &lt; 0.10).</p>
<p>To minimize the influence of extreme outliers, we focused on the central 99% of the data by excluding values of the SUA/Cr below the 0.5th percentile and above the 99.5th percentile. This method, implemented using the quantile function in R, is a common practice in clinical research to reduce the impact of extreme values and enhance the reliability of findings. This approach is supported by previous studies that emphasize the importance of outlier removal to improve statistical robustness in clinical data analysis (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>).</p>
<p>All the analyses were performed with the statistical software packages R 3.3.2 (<ext-link ext-link-type="uri" xlink:href="http://www.R-project.org">http://www.R-project.org</ext-link>, The R Foundation) and Free Statistics software versions 1.9.2.A two-tailed test was performed, and p &lt; 0.05 was considered statistically significant.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Characteristics of the study population by diabetes mellitus</title>
<p>Among the 2,087 participants, 448 (21.5%) had DM). Compared to non-DM patients, DM patients were older (61.79 &#xb1; 10.27 vs. 59.39 &#xb1; 11.25 years, p &lt; 0.001) and had a higher prevalence of hypertension (63.4% vs. 46.4%, p &lt; 0.001). DM patients were also less likely to smoke (23.2% vs. 35.6%, p &lt; 0.001). The general baseline data of the study subjects are shown in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Baseline characteristics of the study population by DM.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Characteristics</th>
<th valign="middle" align="left">Overall</th>
<th valign="middle" align="left">non-DM</th>
<th valign="middle" align="left">DM</th>
<th valign="middle" align="left" rowspan="2">
<italic>P-</italic>value</th>
</tr>
<tr>
<th valign="middle" align="left">N</th>
<th valign="middle" align="left">2087</th>
<th valign="middle" align="left">1639</th>
<th valign="middle" align="left">448</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="5" align="left">Demographics</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Male, n (%)</td>
<td valign="middle" align="left">1415 (67.8)</td>
<td valign="middle" align="left">1139 (69.5)</td>
<td valign="middle" align="left">276 (61.6)</td>
<td valign="middle" align="left">0.002</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Age,years</td>
<td valign="middle" align="left">59.90 &#xb1; 11.09</td>
<td valign="middle" align="left">59.39 &#xb1; 11.25</td>
<td valign="middle" align="left">61.79 &#xb1; 10.27</td>
<td valign="middle" align="left">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Clinical presentation, n (%)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.981</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2003;STEMI</td>
<td valign="middle" align="left">521 (25.0)</td>
<td valign="middle" align="left">410 (25)</td>
<td valign="middle" align="left">111 (24.8)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2003;NSTE-ACS</td>
<td valign="middle" align="left">1273 (61.0)</td>
<td valign="middle" align="left">998 (60.9)</td>
<td valign="middle" align="left">275 (61.4)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2003;SA</td>
<td valign="middle" align="left">293 (14.0)</td>
<td valign="middle" align="left">231 (14.1)</td>
<td valign="middle" align="left">62 (13.8)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;SBP, mmHg</td>
<td valign="middle" align="left">102.69 &#xb1; 28.58</td>
<td valign="middle" align="left">103.46 &#xb1; 28.59</td>
<td valign="middle" align="left">99.91 &#xb1; 28.42</td>
<td valign="middle" align="left">0.020</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;DBP, mmHg</td>
<td valign="middle" align="left">77.09 &#xb1; 12.01</td>
<td valign="middle" align="left">77.05 &#xb1; 12.15</td>
<td valign="middle" align="left">77.23 &#xb1; 11.50</td>
<td valign="middle" align="left">0.771</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Medical history,n (%)</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Heart failure</td>
<td valign="middle" align="left">243 (11.6)</td>
<td valign="middle" align="left">181 (11)</td>
<td valign="middle" align="left">62 (13.8)</td>
<td valign="middle" align="left">0.102</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Atrial fibrillation</td>
<td valign="middle" align="left">41 (2.0)</td>
<td valign="middle" align="left">28 (1.7)</td>
<td valign="middle" align="left">13 (2.9)</td>
<td valign="middle" align="left">0.107</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Cardiac shock</td>
<td valign="middle" align="left">2 (0.1)</td>
<td valign="middle" align="left">2 (0.1)</td>
<td valign="middle" align="left">0 (0)</td>
<td valign="middle" align="left">1.000</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Previous AMI</td>
<td valign="middle" align="left">205 (9.8)</td>
<td valign="middle" align="left">159 (9.7)</td>
<td valign="middle" align="left">46 (10.3)</td>
<td valign="middle" align="left">0.721</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Previous stroke</td>
<td valign="middle" align="left">107 (5.1)</td>
<td valign="middle" align="left">76 (4.6)</td>
<td valign="middle" align="left">31 (6.9)</td>
<td valign="middle" align="left">0.052</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Previous PCI</td>
<td valign="middle" align="left">137 (6.6)</td>
<td valign="middle" align="left">102 (6.2)</td>
<td valign="middle" align="left">35 (7.8)</td>
<td valign="middle" align="left">0.229</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Hypertension</td>
<td valign="middle" align="left">1045 (50.1)</td>
<td valign="middle" align="left">761 (46.4)</td>
<td valign="middle" align="left">284 (63.4)</td>
<td valign="middle" align="left">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Smoking</td>
<td valign="middle" align="left">688 (33.0)</td>
<td valign="middle" align="left">584 (35.6)</td>
<td valign="middle" align="left">104 (23.2)</td>
<td valign="middle" align="left">&lt; 0.001</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Laboratory data</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Cr, &#xb5;mol/L</td>
<td valign="middle" align="left">72.00 &#xb1; 26.07</td>
<td valign="middle" align="left">72.12 &#xb1; 24.16</td>
<td valign="middle" align="left">71.56 &#xb1; 32.11</td>
<td valign="middle" align="left">0.686</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;UA, &#xb5;mol/L</td>
<td valign="middle" align="left">303.69 &#xb1; 88.40</td>
<td valign="middle" align="left">306.71 &#xb1; 88.88</td>
<td valign="middle" align="left">292.62 &#xb1; 85.81</td>
<td valign="middle" align="left">0.003</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Glucose, mmol/L</td>
<td valign="middle" align="left">5.95 &#xb1; 2.58</td>
<td valign="middle" align="left">5.42 &#xb1; 2.03</td>
<td valign="middle" align="left">7.91 &#xb1; 3.35</td>
<td valign="middle" align="left">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;TG, mmol/L</td>
<td valign="middle" align="left">1.6 (1.1, 2.3)</td>
<td valign="middle" align="left">1.5 (1.1, 2.2)</td>
<td valign="middle" align="left">1.8 (1.3, 2.6)</td>
<td valign="middle" align="left">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;TC, mmol/L</td>
<td valign="middle" align="left">4.26 &#xb1; 1.06</td>
<td valign="middle" align="left">4.26 &#xb1; 1.07</td>
<td valign="middle" align="left">4.26 &#xb1; 1.04</td>
<td valign="middle" align="left">0.952</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;HDL-C, mmol/L</td>
<td valign="middle" align="left">1.06 &#xb1; 0.31</td>
<td valign="middle" align="left">1.07 &#xb1; 0.32</td>
<td valign="middle" align="left">1.02 &#xb1; 0.31</td>
<td valign="middle" align="left">0.002</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;LDL-C, mmol/L</td>
<td valign="middle" align="left">2.67 &#xb1; 0.93</td>
<td valign="middle" align="left">2.69 &#xb1; 0.95</td>
<td valign="middle" align="left">2.62 &#xb1; 0.89</td>
<td valign="middle" align="left">0.171</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Treatment, n (%)</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Aspirin</td>
<td valign="middle" align="left">2063 (98.9)</td>
<td valign="middle" align="left">1623 (99)</td>
<td valign="middle" align="left">440 (98.2)</td>
<td valign="middle" align="left">0.154</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Clopidogrel</td>
<td valign="middle" align="left">2000 (95.8)</td>
<td valign="middle" align="left">1569 (95.7)</td>
<td valign="middle" align="left">431 (96.2)</td>
<td valign="middle" align="left">0.233</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x3b2;-blocker</td>
<td valign="middle" align="left">1468 (70.3)</td>
<td valign="middle" align="left">1156 (70.5)</td>
<td valign="middle" align="left">312 (69.6)</td>
<td valign="middle" align="left">0.715</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;ACEI</td>
<td valign="middle" align="left">1144 (54.8)</td>
<td valign="middle" align="left">880 (53.7)</td>
<td valign="middle" align="left">264 (58.9)</td>
<td valign="middle" align="left">0.048</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;CCB</td>
<td valign="middle" align="left">507 (24.3)</td>
<td valign="middle" align="left">382 (23.3)</td>
<td valign="middle" align="left">125 (27.9)</td>
<td valign="middle" align="left">0.044</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Statin</td>
<td valign="middle" align="left">1958 (93.8)</td>
<td valign="middle" align="left">1543 (94.1)</td>
<td valign="middle" align="left">415 (92.6)</td>
<td valign="middle" align="left">0.240</td>
</tr>
<tr>
<td valign="middle" align="left">Radial artery acess, n (%)</td>
<td valign="middle" align="left">2038 (97.7)</td>
<td valign="middle" align="left">1600 (97.6)</td>
<td valign="middle" align="left">438 (97.8)</td>
<td valign="middle" align="left">0.855</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Number of diseased vessels, n (%)</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;1-diseased vessel</td>
<td valign="middle" align="left">813 (39.0)</td>
<td valign="middle" align="left">679 (41.4)</td>
<td valign="middle" align="left">134 (29.9)</td>
<td valign="middle" align="left">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;2-diseased vessels</td>
<td valign="middle" align="left">777 (37.2)</td>
<td valign="middle" align="left">607 (37)</td>
<td valign="middle" align="left">170 (37.9)</td>
<td valign="middle" align="left">0.724</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2265;3-diseased vessels</td>
<td valign="middle" align="left">492 (23.6)</td>
<td valign="middle" align="left">350 (21.4)</td>
<td valign="middle" align="left">142 (31.7)</td>
<td valign="middle" align="left">&lt; 0.001</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Location of target lesions, n (%)</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;LM</td>
<td valign="middle" align="left">65 (3.1)</td>
<td valign="middle" align="left">49 (3)</td>
<td valign="middle" align="left">16 (3.6)</td>
<td valign="middle" align="left">0.530</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;LAD</td>
<td valign="middle" align="left">1720 (82.4)</td>
<td valign="middle" align="left">1335 (81.5)</td>
<td valign="middle" align="left">385 (85.9)</td>
<td valign="middle" align="left">0.027</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;LCX</td>
<td valign="middle" align="left">1018 (48.8)</td>
<td valign="middle" align="left">776 (47.3)</td>
<td valign="middle" align="left">242 (54)</td>
<td valign="middle" align="left">0.012</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;RCA</td>
<td valign="middle" align="left">1030 (49.4)</td>
<td valign="middle" align="left">772 (47.1)</td>
<td valign="middle" align="left">258 (57.6)</td>
<td valign="middle" align="left">&lt; 0.001</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Characteristics of lesions, n (%)</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Occulsion</td>
<td valign="middle" align="left">273 (13.1)</td>
<td valign="middle" align="left">208 (12.7)</td>
<td valign="middle" align="left">65 (14.5)</td>
<td valign="middle" align="left">0.312</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;CTO</td>
<td valign="middle" align="left">183 (8.8)</td>
<td valign="middle" align="left">138 (8.4)</td>
<td valign="middle" align="left">45 (10)</td>
<td valign="middle" align="left">0.281</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Ostio lesion</td>
<td valign="middle" align="left">229 (11.0)</td>
<td valign="middle" align="left">188 (11.5)</td>
<td valign="middle" align="left">41 (9.2)</td>
<td valign="middle" align="left">0.164</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Bifurcation lesion</td>
<td valign="middle" align="left">363 (17.4)</td>
<td valign="middle" align="left">294 (17.9)</td>
<td valign="middle" align="left">69 (15.4)</td>
<td valign="middle" align="left">0.210</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Restenosis</td>
<td valign="middle" align="left">26 (1.2)</td>
<td valign="middle" align="left">21 (1.3)</td>
<td valign="middle" align="left">5 (1.1)</td>
<td valign="middle" align="left">0.780</td>
</tr>
<tr>
<th valign="middle" align="left">Number of treated vessels, n (%)</th>
<th valign="middle" align="left"/>
<th valign="middle" align="left"/>
<th valign="middle" align="left"/>
<th valign="middle" align="left">0.006</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;1-treated vessel</td>
<td valign="middle" align="left">1209 (57.9)</td>
<td valign="middle" align="left">979 (59.7)</td>
<td valign="middle" align="left">230 (51.3)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;2-treated vessels</td>
<td valign="middle" align="left">696 (33.3)</td>
<td valign="middle" align="left">524 (32)</td>
<td valign="middle" align="left">172 (38.4)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2265;3-treated vessels</td>
<td valign="middle" align="left">182 (8.7)</td>
<td valign="middle" align="left">136 (8.3)</td>
<td valign="middle" align="left">46 (10.3)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<th valign="middle" align="left">Number of stents, n (%)</th>
<th valign="middle" align="left"/>
<th valign="middle" align="left"/>
<th valign="middle" align="left"/>
<th valign="middle" align="left">0.002</th>
</tr>
<tr>
<td valign="middle" align="center">1</td>
<td valign="middle" align="left">815 (39.1)</td>
<td valign="middle" align="left">673 (41.1)</td>
<td valign="middle" align="left">142 (31.7)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="center">2</td>
<td valign="middle" align="left">614 (29.4)</td>
<td valign="middle" align="left">475 (29)</td>
<td valign="middle" align="left">139 (31)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="center">3</td>
<td valign="middle" align="left">354 (17.0)</td>
<td valign="middle" align="left">269 (16.4)</td>
<td valign="middle" align="left">85 (19)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="center">&#x2265;4</td>
<td valign="middle" align="left">304 (14.6)</td>
<td valign="middle" align="left">222 (13.5)</td>
<td valign="middle" align="left">82 (18.3)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Length of stent, mm</td>
<td valign="middle" align="left">50.07 &#xb1; 32.69</td>
<td valign="middle" align="left">48.66 &#xb1; 32.37</td>
<td valign="middle" align="left">55.23 &#xb1; 33.40</td>
<td valign="middle" align="left">&lt; 0.001</td>
</tr>
<tr>
<td valign="middle" align="left">Diameter of stent, mm</td>
<td valign="middle" align="left">3.10 &#xb1; 0.94</td>
<td valign="middle" align="left">3.14 &#xb1; 1.04</td>
<td valign="middle" align="left">2.97 &#xb1; 0.40</td>
<td valign="middle" align="left">&lt; 0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Data were mean &#xb1; SD or median (IQR) for skewed variables or numbers (proportions) for categorical variables.DM, diabetes mellitus; STEMI, ST-elevation myocardial infarction; NSTE-ACS, non-ST elevation acute coronary syndrome; SA, stable angina; SBP, systolic blood pressure; DBP, diastolic blood pressure; AMI, acute myocardial infarction; PCI, percutaneous coronary intervention; CABG, coronary artery bypass graft; Cr, creatinine; UA, uric acid; TG, triglyceride; TC, total cholesterol; HDL-C, high density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol; ACEI, angiotensin converting enzyme inhibitor; CCB, calcium channel blockers; LM, left main coronary artery; LAD, left anterior descending artery; LCX, left circumflex artery; RCA, right coronary artery; CTO, chronic total occlusions.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Laboratory results revealed that DM patients had higher fasting glucose (7.91 &#xb1; 3.35 vs. 5.42 &#xb1; 2.03 mmol/L, p &lt; 0.001) and TG levels (1.8 [1.3&#x2013;2.6] vs. 1.5 [1.1&#x2013;2.2] mmol/L, p &lt; 0.001). However, their SUA (292.62 &#xb1; 85.81 vs. 306.71 &#xb1; 88.88 &#x3bc;mol/L, p = 0.003) and HDL-C levels (1.02 &#xb1; 0.31 vs. 1.07 &#xb1; 0.32 mmol/L, p = 0.002) were lower.</p>
<p>Procedurally, DM patients had a higher proportion of multivessel disease (31.7% vs. 21.4%, p &lt; 0.001) and received longer stents (55.23 &#xb1; 33.40 vs. 48.66 &#xb1; 32.37 mm, p &lt; 0.001), but stent diameters were smaller (2.97 &#xb1; 0.40 vs. 3.14 &#xb1; 1.04 mm, p &lt; 0.001).</p>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Risk factors for TVEs in the overall population</title>
<p>As shown in <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>, both univariate and multivariate analyses identified male gender, previous PCI, previous stroke, elevated triglyceride levels, longer stent length, and smaller stent diameter as significant risk factors for TVEs (all p &lt; 0.05).In contrast, the SUA/Cr ratio was not significantly associated with TVEs in univariate analysis (OR = 0.95, 95% CI: 0.85&#x2013;1.07, p = 0.404). Even after adjusting for potential confounders in multivariate analysis, SUA/Cr remained non-significant (OR = 0.95, 95% CI: 0.84&#x2013;1.07, p = 0.385).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Univariate and multivariate analysis for predictors of TVEs in overall population.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">Variable</th>
<th valign="middle" colspan="2" align="left">Univariate analysis</th>
<th valign="middle" colspan="2" align="left">Multivariate analysis</th>
</tr>
<tr>
<th valign="middle" align="left">OR (95% CI)</th>
<th valign="middle" align="left">
<italic>P-</italic>value</th>
<th valign="middle" align="left">OR (95% CI)</th>
<th valign="middle" align="left">
<italic>P-</italic>value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">SUA/Cr</td>
<td valign="middle" align="left">0.95 (0.85~1.07)</td>
<td valign="middle" align="left">0.404</td>
<td valign="middle" align="left">0.95 (0.84~1.07)</td>
<td valign="middle" align="left">0.385</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Demographics</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Gender</td>
<td valign="middle" align="left">1.58 (1.07~2.32)</td>
<td valign="middle" align="left">0.021</td>
<td valign="middle" align="left">1.54 (1.03~2.3)</td>
<td valign="middle" align="left">0.034</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Age</td>
<td valign="middle" align="left">0.99 (0.98~1.01)</td>
<td valign="middle" align="left">0.451</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">&#x2003;Clinical presentation</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2003;STEMI</td>
<td valign="middle" align="left">1 (ref)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2003;NSTE-ACS</td>
<td valign="middle" align="left">1.93 (1.21~3.06)</td>
<td valign="middle" align="left">0.006</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2003;SA</td>
<td valign="middle" align="left">2.02 (1.12~3.63)</td>
<td valign="middle" align="left">0.019</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;SBP</td>
<td valign="middle" align="left">1.01 (1~1.01)</td>
<td valign="middle" align="left">0.020</td>
<td valign="middle" align="left">1.01 (1~1.01)</td>
<td valign="middle" align="left">0.016</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;DBP</td>
<td valign="middle" align="left">1 (0.99~1.02)</td>
<td valign="middle" align="left">0.770</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Medical history</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Heart failure</td>
<td valign="middle" align="left">0.95 (0.56~1.61)</td>
<td valign="middle" align="left">0.855</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Atrial fibrillation</td>
<td valign="middle" align="left">1.39 (0.49~3.94)</td>
<td valign="middle" align="left">0.540</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Previous AMI</td>
<td valign="middle" align="left">1.09 (0.63~1.86)</td>
<td valign="middle" align="left">0.762</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Previous stroke</td>
<td valign="middle" align="left">2.19 (1.24~3.89)</td>
<td valign="middle" align="left">0.007</td>
<td valign="middle" align="left">1.93 (1.06~3.5)</td>
<td valign="middle" align="left">0.030</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Previous PCI</td>
<td valign="middle" align="left">3.58 (2.27~5.67)</td>
<td valign="middle" align="left">&lt;0.001</td>
<td valign="middle" align="left">3.57 (2.1~6.09)</td>
<td valign="middle" align="left">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Hypertension</td>
<td valign="middle" align="left">1 (0.72~1.39)</td>
<td valign="middle" align="left">0.985</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;DM</td>
<td valign="middle" align="left">1.1 (0.74~1.63)</td>
<td valign="middle" align="left">0.627</td>
<td valign="middle" align="left">0.97 (0.64~1.46)</td>
<td valign="middle" align="left">0.881</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Smoking</td>
<td valign="middle" align="left">1.28 (0.91~1.8)</td>
<td valign="middle" align="left">0.158</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Laboratory data</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Glucose</td>
<td valign="middle" align="left">1.03 (0.97~1.08)</td>
<td valign="middle" align="left">0.310</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;TC</td>
<td valign="middle" align="left">1.13 (0.97~1.31)</td>
<td valign="middle" align="left">0.106</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;TG</td>
<td valign="middle" align="left">1.15 (1.06~1.26)</td>
<td valign="middle" align="left">0.002</td>
<td valign="middle" align="left">1.18 (1.08~1.3)</td>
<td valign="middle" align="left">&lt;0.001</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;HDL-C</td>
<td valign="middle" align="left">0.67 (0.38~1.17)</td>
<td valign="middle" align="left">0.162</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;LDL-C</td>
<td valign="middle" align="left">1.05 (0.88~1.25)</td>
<td valign="middle" align="left">0.588</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Treatment</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Aspirin</td>
<td valign="middle" align="left">1.82 (0.24~13.54)</td>
<td valign="middle" align="left">0.560</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Clopidogrel</td>
<td valign="middle" align="left">0.72 (0.34~1.53)</td>
<td valign="middle" align="left">0.394</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x3b2;-blocker</td>
<td valign="middle" align="left">1.07 (0.74~1.55)</td>
<td valign="middle" align="left">0.701</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;ACEI</td>
<td valign="middle" align="left">0.84 (0.6~1.16)</td>
<td valign="middle" align="left">0.285</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;CCB</td>
<td valign="middle" align="left">0.96 (0.65~1.42)</td>
<td valign="middle" align="left">0.856</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Statin</td>
<td valign="middle" align="left">0.75 (0.4~1.39)</td>
<td valign="middle" align="left">0.364</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Number of diseased vessels</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;1-diseased vessel</td>
<td valign="middle" align="left">0.78 (0.55~1.1)</td>
<td valign="middle" align="left">0.157</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;2-diseased vessels</td>
<td valign="middle" align="left">0.98 (0.7~1.38)</td>
<td valign="middle" align="left">0.918</td>
<td valign="middle" align="left">0.96 (0.6~1.55)</td>
<td valign="middle" align="left">0.873</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2265;3-diseased vessels</td>
<td valign="middle" align="left">1.4 (0.97~2.01)</td>
<td valign="middle" align="left">0.070</td>
<td valign="middle" align="left">1.04 (0.54~2)</td>
<td valign="middle" align="left">0.908</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Location of target lesions</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;LM</td>
<td valign="middle" align="left">2.41 (1.2~4.82)</td>
<td valign="middle" align="left">0.013</td>
<td valign="middle" align="left">3.11 (1.49~6.49)</td>
<td valign="middle" align="left">0.003</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;LAD</td>
<td valign="middle" align="left">1.15 (0.73~1.8)</td>
<td valign="middle" align="left">0.546</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;LCX</td>
<td valign="middle" align="left">1.22 (0.87~1.69)</td>
<td valign="middle" align="left">0.248</td>
<td valign="middle" align="left">0.86 (0.54~1.36)</td>
<td valign="middle" align="left">0.512</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;RCA</td>
<td valign="middle" align="left">1.29 (0.93~1.8)</td>
<td valign="middle" align="left">0.131</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Characteristics of lesions</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Occulsion</td>
<td valign="middle" align="left">0.83 (0.49~1.39)</td>
<td valign="middle" align="left">0.472</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;CTO</td>
<td valign="middle" align="left">1.15 (0.66~2.01)</td>
<td valign="middle" align="left">0.619</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Ostio lesion</td>
<td valign="middle" align="left">0.88 (0.51~1.53)</td>
<td valign="middle" align="left">0.651</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Bifurcation lesion</td>
<td valign="middle" align="left">1.29 (0.86~1.94)</td>
<td valign="middle" align="left">0.218</td>
<td valign="middle" align="left">1.25 (0.82~1.91)</td>
<td valign="middle" align="left">0.301</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Restenosis</td>
<td valign="middle" align="left">4.87 (2.01~11.77)</td>
<td valign="middle" align="left">&lt;0.001</td>
<td valign="middle" align="left">1.27 (0.45~3.59)</td>
<td valign="middle" align="left">0.655</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Number of treated vessels</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;1-treated vessel</td>
<td valign="middle" align="left">1 (ref)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;2-treated vessels</td>
<td valign="middle" align="left">1.36 (0.94~1.97)</td>
<td valign="middle" align="left">0.103</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2265;3-treated vessels</td>
<td valign="middle" align="left">3.26 (2.06~5.17)</td>
<td valign="middle" align="left">&lt;0.001</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Number of stents</th>
</tr>
<tr>
<td valign="middle" align="center">1</td>
<td valign="middle" align="left">1 (ref)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="center">2</td>
<td valign="middle" align="left">1.25 (0.81~1.94)</td>
<td valign="middle" align="left">0.313</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="center">3</td>
<td valign="middle" align="left">1.62 (1~2.63)</td>
<td valign="middle" align="left">0.049</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="center">&#x2265;4</td>
<td valign="middle" align="left">2.43 (1.53~3.84)</td>
<td valign="middle" align="left">&lt;0.001</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Length of stent</td>
<td valign="middle" align="left">1.01 (1~1.01)</td>
<td valign="middle" align="left">&lt;0.001</td>
<td valign="middle" align="left">1.01 (1~1.01)</td>
<td valign="middle" align="left">0.008</td>
</tr>
<tr>
<td valign="middle" align="left">Diameter of stent</td>
<td valign="middle" align="left">0.62 (0.41~0.92)</td>
<td valign="middle" align="left">0.019</td>
<td valign="middle" align="left">0.58 (0.37~0.92)</td>
<td valign="middle" align="left">0.019</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>OR, odds ratio; CI, confidence interval; STEMI, ST-elevation myocardial infarction; NSTE-ACS, non-ST elevation acute coronary syndrome; SA, stable angina; SBP, systolic blood pressure; DBP, diastolic blood pressure; DM, diabetes mellitus; AMI, acute myocardial infarction; PCI, percutaneous coronary intervention; Cr, creatinine; UA, uric acid; TG, triglyceride; TC, total cholesterol; HDL-C, high density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol; ACEI, angiotensin converting enzyme inhibitor; CCB, calcium channel blockers; LM, left main coronary artery; LAD, left anterior descending artery; LCX, left circumflex artery; RCA, right coronary artery; CTO, chronic total occlusions.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Subgroup analyses</title>
<p>Subgroup analyses were performed to explore the association between SUA/Cr and TVEs across different strata, including DM), sex, age, and eGFR (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Subgroup analysis for association between SUA/Cr and TVEs.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Subgroups</th>
<th valign="middle" align="left">n total</th>
<th valign="middle" align="left">n event <break/>(%)</th>
<th valign="middle" align="left">Unadjusted OR (95% CI)</th>
<th valign="middle" align="left">Unadjusted <italic>P</italic>-value</th>
<th valign="middle" align="left">Adjusted OR (95% CI)</th>
<th valign="middle" align="left">Adjusted <italic>P</italic>-value</th>
<th valign="middle" align="left">P for <break/>interaction</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" align="left">DM</th>
<th valign="middle" align="left"/>
<th valign="middle" align="left"/>
<th valign="middle" align="left"/>
<th valign="middle" align="left"/>
<th valign="middle" align="left"/>
<th valign="middle" align="left"/>
<th valign="middle" align="left">0.043</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="middle" align="left">1639</td>
<td valign="middle" align="left">117 (7.1)</td>
<td valign="middle" align="left">1.03 (0.91~1.16)</td>
<td valign="middle" align="left">0.674</td>
<td valign="middle" align="left">1 (0.87~1.13)</td>
<td valign="middle" align="left">0.944</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="middle" align="left">448</td>
<td valign="middle" align="left">35 (7.8)</td>
<td valign="middle" align="left">0.7 (0.53~0.94)</td>
<td valign="middle" align="left">0.016</td>
<td valign="middle" align="left">0.74 (0.55~0.99)</td>
<td valign="middle" align="left">0.046</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<th valign="middle" align="left">Gender</th>
<th valign="middle" align="left"/>
<th valign="middle" align="left"/>
<th valign="middle" align="left"/>
<th valign="middle" align="left"/>
<th valign="middle" align="left"/>
<th valign="middle" align="left"/>
<th valign="middle" align="left">0.177</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Female</td>
<td valign="middle" align="left">672</td>
<td valign="middle" align="left">36 (5.4)</td>
<td valign="middle" align="left">0.85 (0.67~1.08)</td>
<td valign="middle" align="left">0.178</td>
<td valign="middle" align="left">0.81 (0.63~1.04)</td>
<td valign="middle" align="left">0.097</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Male</td>
<td valign="middle" align="left">1415</td>
<td valign="middle" align="left">116 (8.2)</td>
<td valign="middle" align="left">1.01 (0.89~1.15)</td>
<td valign="middle" align="left">0.884</td>
<td valign="middle" align="left">1 (0.88~1.15)</td>
<td valign="middle" align="left">0.958</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<th valign="middle" align="left">Age, year</th>
<th valign="middle" align="left"/>
<th valign="middle" align="left"/>
<th valign="middle" align="left"/>
<th valign="middle" align="left"/>
<th valign="middle" align="left"/>
<th valign="middle" align="left"/>
<th valign="middle" align="left">0.814</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2265;60</td>
<td valign="middle" align="left">1124</td>
<td valign="middle" align="left">77 (6.9)</td>
<td valign="middle" align="left">0.92 (0.78~1.08)</td>
<td valign="middle" align="left">0.326</td>
<td valign="middle" align="left">0.93 (0.79~1.11)</td>
<td valign="middle" align="left">0.438</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&lt;60</td>
<td valign="middle" align="left">963</td>
<td valign="middle" align="left">75 (7.8)</td>
<td valign="middle" align="left">0.98 (0.83~1.15)</td>
<td valign="middle" align="left">0.784</td>
<td valign="middle" align="left">0.94 (0.78~1.12)</td>
<td valign="middle" align="left">0.463</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<th valign="middle" align="left">eGFR</th>
<th valign="middle" align="left"/>
<th valign="middle" align="left"/>
<th valign="middle" align="left"/>
<th valign="middle" align="left"/>
<th valign="middle" align="left"/>
<th valign="middle" align="left"/>
<th valign="middle" align="left">0.856</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2265;60</td>
<td valign="middle" align="left">1991</td>
<td valign="middle" align="left">143 (7.2)</td>
<td valign="middle" align="left">0.96 (0.85~1.08)</td>
<td valign="middle" align="left">0.474</td>
<td valign="middle" align="left">0.95 (0.84~1.08)</td>
<td valign="middle" align="left">0.442</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&lt;60</td>
<td valign="middle" align="left">96</td>
<td valign="middle" align="left">9 (9.4)</td>
<td valign="middle" align="left">1.04 (0.52~2.11)</td>
<td valign="middle" align="left">0.907</td>
<td valign="middle" align="left">1.09 (0.31~3.8)</td>
<td valign="middle" align="left">0.892</td>
<td valign="middle" align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>OR, odds ratio; CI, confidence interval; DM, diabetes mellitus; eGFR, estimated glomerular filtration rate.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>In the DM subgroup, SUA/Cr was significantly associated with a lower risk of TVEs (adjusted OR = 0.74, 95% CI: 0.55&#x2013;0.99, p = 0.046). However, no significant association was observed in the non-DM subgroup (adjusted OR = 1.00, 95% CI: 0.87&#x2013;1.13, p = 0.944), with a significant interaction effect (p for interaction = 0.043).</p>
<p>Stratified by sex, age, and eGFR categories, SUA/Cr showed no significant association with TVEs in females (adjusted OR = 0.81, 95% CI: 0.63&#x2013;1.04, p = 0.097), males (adjusted OR = 1.00, 95% CI: 0.88&#x2013;1.15, p = 0.958), or any subgroup (all p for interaction &gt; 0.05).</p>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Association of SUA/Cr with TVEs in DM patients</title>
<p>Multivariable logistic regression analyses demonstrated that higher SUA/Cr was significantly associated with a reduced risk of TVEs in DM patients (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). The association remained consistent across all four models: Model 1 (OR = 0.72, 95% CI: 0.53&#x2013;0.97, p = 0.031), Model 2 (OR = 0.72, 95% CI: 0.53&#x2013;0.97, p = 0.030), Model 3 (OR = 0.73, 95% CI: 0.54&#x2013;0.99, p = 0.040), and Model 4 (OR = 0.72, 95% CI: 0.53&#x2013;0.97, p = 0.031).</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Multivariable-adjusted ORs and 95%CI of the SUA/Cr associated with TVEs in DM patients.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left"/>
<th valign="middle" align="left">Number of TVEs</th>
<th valign="middle" align="left">Unadjusted OR (95% CI)</th>
<th valign="middle" align="left">Unadjusted <italic>P</italic>-value</th>
<th valign="middle" align="left">Adjusted OR (95% CI)</th>
<th valign="middle" align="left">Adjusted <italic>P</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Model1</td>
<td valign="middle" align="left">35</td>
<td valign="middle" align="left">0.7 (0.53~0.94)</td>
<td valign="middle" align="left">0.016</td>
<td valign="middle" align="left">0.72 (0.53~0.97)</td>
<td valign="middle" align="left">0.031</td>
</tr>
<tr>
<td valign="middle" align="left">Model2</td>
<td valign="middle" align="left">35</td>
<td valign="middle" align="left">0.7 (0.53~0.94)</td>
<td valign="middle" align="left">0.016</td>
<td valign="middle" align="left">0.72 (0.53~0.97)</td>
<td valign="middle" align="left">0.03</td>
</tr>
<tr>
<td valign="middle" align="left">Model3</td>
<td valign="middle" align="left">35</td>
<td valign="middle" align="left">0.7 (0.53~0.94)</td>
<td valign="middle" align="left">0.016</td>
<td valign="middle" align="left">0.73 (0.54~0.99)</td>
<td valign="middle" align="left">0.04</td>
</tr>
<tr>
<td valign="middle" align="left">Model4</td>
<td valign="middle" align="left">35</td>
<td valign="middle" align="left">0.7 (0.53~0.94)</td>
<td valign="middle" align="left">0.016</td>
<td valign="middle" align="left">0.72 (0.53~0.97)</td>
<td valign="middle" align="left">0.031</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>OR, odds ratio; CI, confidence interval.Model1: adjusted for Gender, Previous stroke, Previous PCI.</p>
</fn>
<fn>
<p>Model2: model1+further adjusted for SBP, TG.</p>
</fn>
<fn>
<p>Model3: model2+further adjusted for 2-diseased vessels, &#x2265;3-diseased vessels, LM, LCX.</p>
</fn>
<fn>
<p>Model4: model3+further adjusted for bifurcation lesion, restenosis, length of stent, diameter of stent, Age.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The dose-response analysis, adjusted for variables in Model 4, revealed a linear inverse relationship between SUA/Cr and the risk of TVEs in DM patients (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). Restricted cubic spline analysis confirmed this linear and negative association, with a threshold (knot) at 4.158 (p for non-linearity = 0.782).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Dose-response relationship between the SUA/Cr and TVEs in DM patients adjusted for model 4. Gender, Previous stroke, Previous PCI, SBP, TG, 2-diseased vessels, &#x2265;3-diseased vessels, LM, LCX, bifurcation lesion, restenosis, length of stent, diameter of stent, Age. All of the datas are displayed. Odds ratios are indicated by solid lines and 95% CIs by dashed areas.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-16-1599158-g002.tif">
<alt-text content-type="machine-generated">Graph showing the relationship between SUA/Cr levels and Odds Ratio of TVEs. A red line indicates a linear trend trend with decreasing odds as SUA/Cr increases. Dotted red lines represent confidence intervals. A histogram shows the distribution of SUA/Cr values. Reference point noted at 4.158. P-value for non-linearity is 0.782.</alt-text>
</graphic>
</fig>
<p>In DM patients, subgroup analysis revealed that SUA/Cr was significantly associated with a lower risk of TVEs among non-smokers (adjusted OR = 0.68, 95% CI: 0.47&#x2013;0.98, p = 0.041) and those presenting with NSTE-ACS (adjusted OR = 0.54, 95% CI: 0.34&#x2013;0.85, p = 0.008) (<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>). However, no significant associations were observed in other subgroups, including smokers, STEMI patients, or those with SA (all p for interaction &gt; 0.05).</p>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Subgroup analysis on the association of SUA/Cr with TVEs in the DM patients.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Subgroups</th>
<th valign="middle" align="left">n total</th>
<th valign="middle" align="left">n event(%)</th>
<th valign="middle" align="left">Unadjusted OR(95% CI)</th>
<th valign="middle" align="left">Unadjusted <italic>P</italic>-value</th>
<th valign="middle" align="left">Adjusted&#x2003;OR(95% CI)</th>
<th valign="middle" align="left">Adjusted <italic>P</italic>-value</th>
<th valign="middle" align="left">P for <break/>interaction</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" align="left">Smoking</th>
<th valign="middle" align="left"/>
<th valign="middle" align="left"/>
<th valign="middle" align="left"/>
<th valign="middle" align="left"/>
<th valign="middle" align="left"/>
<th valign="middle" align="left"/>
<th valign="middle" align="left">0.564</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No</td>
<td valign="middle" align="left">344</td>
<td valign="middle" align="left">26 (7.6)</td>
<td valign="middle" align="left">0.65 (0.46~0.93)</td>
<td valign="middle" align="left">0.017</td>
<td valign="middle" align="left">0.68 (0.47~0.98)</td>
<td valign="middle" align="left">0.041</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Yes</td>
<td valign="middle" align="left">104</td>
<td valign="middle" align="left">9 (8.7)</td>
<td valign="middle" align="left">0.84 (0.51~1.39)</td>
<td valign="middle" align="left">0.501</td>
<td valign="middle" align="left">0.84 (0.44~1.63)</td>
<td valign="middle" align="left">0.611</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<th valign="middle" align="left">Clinical presentation</th>
<th valign="middle" align="left"/>
<th valign="middle" align="left"/>
<th valign="middle" align="left"/>
<th valign="middle" align="left"/>
<th valign="middle" align="left"/>
<th valign="middle" align="left"/>
<th valign="middle" align="left">0.021</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;STEMI</td>
<td valign="middle" align="left">111</td>
<td valign="middle" align="left">3 (2.7)</td>
<td valign="middle" align="left">1.29 (0.87~1.9)</td>
<td valign="middle" align="left">0.202</td>
<td valign="middle" align="left">3.44 (0.65~18.17)</td>
<td valign="middle" align="left">0.145</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;NSTE-ACS</td>
<td valign="middle" align="left">275</td>
<td valign="middle" align="left">25 (9.1)</td>
<td valign="middle" align="left">0.55 (0.37~0.81)</td>
<td valign="middle" align="left">0.002</td>
<td valign="middle" align="left">0.54 (0.34~0.85)</td>
<td valign="middle" align="left">0.008</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;SA</td>
<td valign="middle" align="left">62</td>
<td valign="middle" align="left">7 (11.3)</td>
<td valign="middle" align="left">0.65 (0.31~1.38)</td>
<td valign="middle" align="left">0.267</td>
<td valign="middle" align="left">0.32 (0.09~1.16)</td>
<td valign="middle" align="left">0.082</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<th valign="middle" align="left">eGFR</th>
<th valign="middle" align="left"/>
<th valign="middle" align="left"/>
<th valign="middle" align="left"/>
<th valign="middle" align="left"/>
<th valign="middle" align="left"/>
<th valign="middle" align="left"/>
<th valign="middle" align="left">0.612</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&lt;90</td>
<td valign="middle" align="left">106</td>
<td valign="middle" align="left">12 (11.3)</td>
<td valign="middle" align="left">0.65 (0.34~1.25)</td>
<td valign="middle" align="left">0.199</td>
<td valign="middle" align="left">0.68 (0.32~1.43)</td>
<td valign="middle" align="left">0.308</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2265;90</td>
<td valign="middle" align="left">342</td>
<td valign="middle" align="left">23 (6.7)</td>
<td valign="middle" align="left">0.75 (0.53~1.06)</td>
<td valign="middle" align="left">0.1</td>
<td valign="middle" align="left">0.76 (0.53~1.11)</td>
<td valign="middle" align="left">0.161</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<th valign="middle" align="left">Gender</th>
<th valign="middle" align="left"/>
<th valign="middle" align="left"/>
<th valign="middle" align="left"/>
<th valign="middle" align="left"/>
<th valign="middle" align="left"/>
<th valign="middle" align="left"/>
<th valign="middle" align="left">0.314</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Female</td>
<td valign="middle" align="left">172</td>
<td valign="middle" align="left">11 (6.4)</td>
<td valign="middle" align="left">0.59 (0.35~0.98)</td>
<td valign="middle" align="left">0.041</td>
<td valign="middle" align="left">0.61 (0.34~1.09)</td>
<td valign="middle" align="left">0.093</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Male</td>
<td valign="middle" align="left">276</td>
<td valign="middle" align="left">24 (8.7)</td>
<td valign="middle" align="left">0.79 (0.55~1.13)</td>
<td valign="middle" align="left">0.193</td>
<td valign="middle" align="left">0.84 (0.57~1.24)</td>
<td valign="middle" align="left">0.389</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<th valign="middle" align="left">Age</th>
<th valign="middle" align="left"/>
<th valign="middle" align="left"/>
<th valign="middle" align="left"/>
<th valign="middle" align="left"/>
<th valign="middle" align="left"/>
<th valign="middle" align="left"/>
<th valign="middle" align="left">0.791</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2265;60</td>
<td valign="middle" align="left">277</td>
<td valign="middle" align="left">21 (7.6)</td>
<td valign="middle" align="left">0.69 (0.47~1.02)</td>
<td valign="middle" align="left">0.064</td>
<td valign="middle" align="left">0.68 (0.44~1.05)</td>
<td valign="middle" align="left">0.085</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&lt;60</td>
<td valign="middle" align="left">171</td>
<td valign="middle" align="left">14 (8.2)</td>
<td valign="middle" align="left">0.7 (0.45~1.08)</td>
<td valign="middle" align="left">0.109</td>
<td valign="middle" align="left">0.81 (0.52~1.27)</td>
<td valign="middle" align="left">0.362</td>
<td valign="middle" align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>OR, odds ratio; CI, confidence interval; eGFR, estimated glomerular filtration rate.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>In this study, we found that a higher SUA/Cr ratio was independently associated with a significantly lower risk of TVEs in DM patients. Notably, SUA/Cr exhibited a linear inverse relationship with TVEs risk, with a threshold identified at 4.158, suggesting that the risk continuously declines as SUA/Cr levels increase. Subgroup analysis further demonstrated that this protective effect was particularly evident in non-smokers and DM patients with NSTE-ACS. These findings underscore the potential of SUA/Cr as a prognostic biomarker for DM patients undergoing PCI, providing valuable insights for risk stratification and long-term management strategies. To the best of our knowledge, this is the first study to systematically examine the association between SUA/Cr and long-term adverse target vessel outcomes in DM patients post-PCI. Unlike previous research, which has largely overlooked procedural cardiovascular outcomes such as TVEs or stent-related complications, our study addresses this gap. Moreover, earlier studies often lacked comprehensive subgroup stratification or dose&#x2013;response analyses, limiting their clinical relevance. By employing advanced modeling approaches in a well-defined post-PCI diabetic cohort, our study overcomes these limitations and enhances the applicability of the findings.</p>
<p>Hyperuricemia has long been recognized as a condition closely linked to cardiovascular disease (CVD) and is considered a potential cardiovascular risk factor (<xref ref-type="bibr" rid="B26">26</xref>). Elevated SUA levels have been associated with an increased risk of CAD, hypertension, heart failure, and chronic kidney disease (<xref ref-type="bibr" rid="B27">27</xref>), with potential underlying mechanisms involving oxidative stress, inflammation, and endothelial dysfunction (<xref ref-type="bibr" rid="B8">8</xref>). However, recent studies suggest that SUA may have a dual role in cardiovascular health, where moderately elevated levels could confer protective effects, while both excessively high and low SUA levels may contribute to a greater CVD risk (<xref ref-type="bibr" rid="B28">28</xref>). Notably, SUA exhibits antioxidant properties under certain conditions, particularly in maintaining vascular homeostasis. As a free radical scavenger, it can mitigate oxidative stress-induced vascular injury and provide endothelial protection (<xref ref-type="bibr" rid="B9">9</xref>&#x2013;<xref ref-type="bibr" rid="B11">11</xref>).</p>
<p>Lazzeri et&#xa0;al. reported that elevated SUA levels were associated with higher in-hospital mortality in patients with STEMI, independent of Killip classification (<xref ref-type="bibr" rid="B5">5</xref>). Similarly, Li et&#xa0;al. identified hyperuricemia as an independent risk factor for short-term adverse cardiovascular events in STEMI patients (<xref ref-type="bibr" rid="B6">6</xref>). However, Liu et&#xa0;al. found no significant association between SUA levels and mortality risk in STEMI patients with Killip class II-IV (<xref ref-type="bibr" rid="B7">7</xref>). Additionally, some studies have suggested that SUA is not an independent predictor of cardiovascular events or all-cause mortality in patients with type 2 diabetes (<xref ref-type="bibr" rid="B29">29</xref>).These discrepancies may stem from the influence of renal clearance on SUA levels, as evaluating SUA in isolation may be confounded by renal function status, thereby limiting its accuracy as a prognostic indicator (<xref ref-type="bibr" rid="B12">12</xref>). To address this issue, the SUA/Cr has been introduced as a composite biomarker that accounts for both SUA and renal function. Emerging evidence suggests that SUA/Cr provides a more accurate reflection of metabolic abnormalities and serves as a more reliable predictor of metabolic syndrome compared to SUA or creatinine alone (<xref ref-type="bibr" rid="B30">30</xref>).</p>
<p>In recent years, accumulating evidence has underscored a strong association between the SUA/Cr and adverse cardiovascular events. However, its precise role remains controversial, as some studies identify SUA/Cr as an independent risk factor for cardiovascular complications, while others report conflicting findings. A nationwide multicenter study from Italy demonstrated that SUA/Cr independently predicted cardiovascular events in DM patients (<xref ref-type="bibr" rid="B21">21</xref>). Further investigations revealed a nonlinear association between SUA/Cr levels and cardiovascular mortality risk in this population. Specifically, among DM patients with preserved renal function, the risk of cardiovascular mortality increased significantly when SUA/Cr exceeded 5.35, whereas in those with impaired renal function, the threshold for heightened risk was SUA/Cr &gt;7.5 (<xref ref-type="bibr" rid="B12">12</xref>).Additionally, Zeng et&#xa0;al. reported a U-shaped nonlinear relationship between SUA/Cr and all-cause mortality in hypertensive patients, with a critical turning point at 4.3 (<xref ref-type="bibr" rid="B31">31</xref>). Similarly, Zhang YD et&#xa0;al. found that elevated preoperative SUA/Cr levels were significantly associated with a higher risk of atrial fibrillation (AF) recurrence following catheter ablation, suggesting that SUA/Cr may serve as a novel prognostic biomarker for AF recurrence (<xref ref-type="bibr" rid="B32">32</xref>).</p>
<p>Notably, the relationship between SUA/Cr and cardiovascular outcomes may vary across different populations. Tang Z et&#xa0;al. reported a linear inverse association between SUA/Cr and cardiovascular mortality in hypertensive patients, with a continuous decline in mortality risk as SUA/Cr increased (P for nonlinearity = 0.32) and a threshold identified at 6.54 (<xref ref-type="bibr" rid="B13">13</xref>). Similarly, Jiang L et&#xa0;al. found that lower SUA/Cr levels were associated with an increased risk of in-hospital adverse cardiovascular events in elderly patients with AMI, with this association being more pronounced in males (<xref ref-type="bibr" rid="B14">14</xref>).However, studies investigating the prognostic value of SUA/Cr in post-PCI outcomes remain limited. In the present study, we found that higher SUA/Cr levels were significantly associated with a lower risk of TVEs in DM patients following PCI, and this association remained robust after adjusting for multiple confounders (Gender, Previous stroke, Previous PCI, SBP, TG, 2-diseased vessels, &#x2265;3-diseased vessels, LM, LCX, bifurcation lesion, restenosis, length of stent, diameter of stent, Age).The observed protective effect may be attributed to the antioxidant and anti-inflammatory properties of SUA. DM patients are typically in a state of chronic low-grade inflammation and oxidative stress, both of which contribute to coronary artery remodeling and an increased risk of in-stent restenosis following PCI (<xref ref-type="bibr" rid="B33">33</xref>). Emerging evidence suggests that in DM patients, dysregulated uric acid metabolism may serve as a compensatory mechanism to counteract oxidative stress-induced vascular damage (<xref ref-type="bibr" rid="B34">34</xref>). Moderately elevated SUA levels may function as an endogenous antioxidant, scavenging free radicals, mitigating endothelial dysfunction, and inhibiting low-density lipoprotein oxidation, thereby slowing the progression of atherosclerosis and potentially reducing the risk of TVEs (<xref ref-type="bibr" rid="B35">35</xref>&#x2013;<xref ref-type="bibr" rid="B37">37</xref>).</p>
<p>These findings, supported by biological plausibility, suggest that SUA/Cr may serve as a compensatory antioxidant factor in specific clinical contexts, particularly in diabetic patients post-PCI. However, the relationship between SUA/Cr and cardiovascular outcomes remains inconsistent across studies. For instance, while the URRAH project (<xref ref-type="bibr" rid="B12">12</xref>), reported a U-shaped association between SUA/Cr and cardiovascular mortality, our study demonstrated a linear inverse relationship with target vessel events in PCI-treated diabetic patients. These discrepancies likely arise from key methodological and clinical differences. First, outcome definitions varied significantly: previous studies primarily examined all-cause or cardiovascular mortality, whereas we focused on procedural outcomes (target vessel revascularization and in-stent restenosis). Second, our study population was strictly limited to PCI-treated CAD patients with diabetes, unlike broader community-based cohorts in prior research. Third, earlier studies frequently omitted adjustments for critical angiographic and procedural variables (e.g., stent diameter, lesion complexity, or prior PCI history) that may influence the SUA/Cr-TVE relationship. Finally, while some studies categorized SUA/Cr into quantiles assuming nonlinearity, we employed restricted cubic spline models to objectively confirm a consistent linear inverse association. These collective differences underscore how clinical context and study design fundamentally shape the interpretation of SUA/Cr&#x2019;s prognostic value.</p>
<p>Furthermore, our study demonstrated that the association between SUA/Cr and TVEs risk was particularly pronounced in non-smokers and DM patients with NSTE-ACS. Specifically, higher SUA/Cr levels were significantly correlated with a lower risk of TVEs in non-smokers, while this protective effect was even more pronounced in NSTE-ACS patients. This differential effect may be attributed to variations in oxidative stress burden and systemic inflammation. In non-smokers, relatively lower oxidative stress and inflammatory activity may allow the antioxidant and endothelial-protective properties of uric acid to exert greater benefits (<xref ref-type="bibr" rid="B38">38</xref>). Additionally, unlike STEMI, where ischemic events are predominantly driven by acute thrombotic occlusion, NSTE-ACS is characterized by chronic inflammation and atherosclerotic plaque instability, which play a central role in disease progression (<xref ref-type="bibr" rid="B39">39</xref>). In this context, uric acid, functioning as an endogenous antioxidant, may contribute to plaque stabilization and attenuation of inflammation-mediated endothelial dysfunction, thereby mitigating the risk of TVEs.</p>
<p>While some studies, such as those from the URRAH project (<xref ref-type="bibr" rid="B12">12</xref>), reported a U-shaped or nonlinear association between SUA/Cr and cardiovascular mortality, our study identified a linear inverse relationship between SUA/Cr and target vessel events in diabetic patients undergoing PCI. These differences may stem from multiple factors. First, the outcome definitions differ: prior studies focused on all-cause or cardiovascular mortality, whereas we specifically assessed target vessel revascularization and in-stent restenosis&#x2014;which are procedural and lesion-level outcomes. Second, our study population consisted entirely of PCI-treated CAD patients, with a defined post-intervention context, while others included broader community or hospital cohorts. Third, previous studies often did not adjust for detailed angiographic and procedural characteristics such as stent diameter, lesion complexity, or prior PCI, which may confound the SUA/Cr&#x2013;TVE relationship. Finally, some earlier studies categorized SUA/Cr into quantiles and assumed nonlinear relationships, whereas our study confirmed a linear trend using restricted cubic spline analysis. These methodological and population-level distinctions may explain the observed differences and suggest that the prognostic significance of SUA/Cr may be context-dependent&#x2014;particularly relevant for stent-related vascular outcomes in diabetic populations.</p>
<p>There are several limitations to this study. First, as a retrospective single-center study, it is subject to selection bias and information bias, which may limit the external validity of our findings. Although the sample size was relatively large (n = 2087), further validation through large-scale, multicenter studies is required to enhance the robustness of our results. Second, this study only established an association between SUA/Cr and post-PCI TVEs, precluding any inference of causality. Future prospective, multicenter, and long-term follow-up studies are warranted to further elucidate the prognostic value of SUA/Cr and its potential role in post-PCI risk stratification and clinical management.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusion</title>
<p>This study found that higher SUA/Cr levels were associated with a lower risk of TVEs in DM patients following PCI, suggesting that SUA/Cr may serve as a biomarker for cardiovascular risk assessment. Given its ease of measurement and cost-effectiveness, SUA/Cr has the potential to facilitate early risk identification and personalized management in high-risk post-PCI patients, thereby improving clinical outcomes. However, its clinical utility requires further validation. Future large-scale prospective studies are needed to establish the definitive role of SUA/Cr in this patient population and to explore its potential applications in routine cardiovascular risk stratification.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by The First Affiliated Hospital, Zhengzhou University. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>PC: Writing &#x2013; original draft, Formal analysis, Methodology, Data curation, Investigation, Writing &#x2013; review &amp; editing. SW: Writing &#x2013; original draft, Formal analysis, Investigation. ZZ: Writing &#x2013; original draft, Data curation, Formal analysis. RW: Funding acquisition, Resources, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research and/or publication of this article.</p>
</sec>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s11" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec id="s12" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors&#xa0;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>
<sec id="s13" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fendo.2025.1599158/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fendo.2025.1599158/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet1.xlsx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>
</sec>
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