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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2024.1504624</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Coexistent pleural effusion is found to be associated with aggravated subclinical myocardial injury in systemic lupus erythematous using cardiovascular magnetic resonance imaging</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Zhi</surname>
<given-names>Yang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2134687"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/software/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Zhang</surname>
<given-names>Tian-yue</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhu</surname>
<given-names>Yong</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zou</surname>
<given-names>Hao</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>You</surname>
<given-names>Yi</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wen</surname>
<given-names>Miao</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Zhong</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Gao</surname>
<given-names>Liang-chao</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Bing</surname>
<given-names>Fu</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/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Pan</surname>
<given-names>Shu-yue</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2073798"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
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</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Radiology, Chengdu Fifth People&#x2019;s Hospital</institution>, <addr-line>Chengdu</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Rheumatology and Immunology, Chengdu Fifth People&#x2019;s Hospital</institution>, <addr-line>Chengdu</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Li-Tung Huang, Kaohsiung Chang Gung Memorial Hospital, Taiwan</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Geng Yin, Sichuan University, China</p>
<p>Beibei Cui, Sichuan University, China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Fu Bing, <email xlink:href="mailto:fubing73@qq.com">fubing73@qq.com</email>; Shu-yue Pan, <email xlink:href="mailto:panshuyue2018057@163.com">panshuyue2018057@163.com</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work and share first authorship</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>25</day>
<month>11</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>15</volume>
<elocation-id>1504624</elocation-id>
<history>
<date date-type="received">
<day>01</day>
<month>10</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>28</day>
<month>10</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Zhi, Zhang, Zhu, Zou, You, Wen, Wang, Gao, Bing and Pan</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Zhi, Zhang, Zhu, Zou, You, Wen, Wang, Gao, Bing and Pan</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>Pleural effusion (PE) is a common pulmonary manifestation in patients with systemic lupus erythematosus (SLE), and is associated with disease activity. However, little is known regarding the additive effects of PE on cardiac function. Therefore, this study aimed to investigate multi-parameter cardiovascular magnetic resonance imaging (CMR) findings in SLE patients with PE and to explore whether cardiac involvement is associated with PE.</p>
</sec>
<sec>
<title>Methods</title>
<p>Patients with SLE and age-matched/sex-matched healthy controls were included in this study. Patients with SLE were diagnosed according to the 2019 European League Against Rheumatism/American College of Rheumatology classification criteria. Moreover, the PE diagnosis was based on computed tomography, and the height of the effusion was &gt; 5&#xa0;mm. All enrolled individuals underwent CMR imaging, including cine and late gadolinium enhancement (LGE), T1, and T2 mapping imaging. The left and right ventricular function, LGE, T1, extracellular volume (ECV), and T2 values were evaluated.</p>
</sec>
<sec>
<title>Results</title>
<p>A total of 111 patients with SLE were enrolled, of whom 26 (23.42%) had PE. White cell count, hemoglobin, CRP, ESR, and lactate dehydrogenase levels were higher in SLE patients with PE than in SLE patients without PE (P&lt;0.05). LGE was more prevalent in SLE patients with PE compared with those without PE (P&lt;0.001). In addition, Native T1 (1348 &#xb1; 65 ms vs. 1284 &#xb1; 67 ms vs. 1261 &#xb1; 41 ms; P&lt;0.001), ECV (31.92 &#xb1; 4.16% vs. 28.61 &#xb1; 3.60% vs. 26.54 &#xb1; 2.94%; P&lt;0.001), and T2 (44.76 &#xb1; 3.68 ms vs. 41.96 &#xb1; 3.62 ms vs. 39.21 &#xb1; 2.85 ms; P&lt;0.001) values were high in SLE patients with PE, intermediate in SLE patients without PE, and the lowest in the control group. Linear regression analysis demonstrated that PE was independently associated with LGE (&#x3b2;=0.329; P&lt;0.05), T1 (&#x3b2;=0.346; P&lt;0.05), ECV (&#x3b2;=0.353; P&lt;0.05), and T2 (&#x3b2;=0.201; P&lt;0.05).</p>
</sec>
<sec>
<title>Conclusions</title>
<p>SLE patients with PE have a higher prevalence of LGE and more diffuse myocardial fibrosis and edema than SLE patients without PE. Moreover, PE is associated with increased diffuse interstitial fibrosis and edema.</p>
</sec>
</abstract>
<kwd-group>
<kwd>cardiovascular magnetic resonance imaging</kwd>
<kwd>late gadolinium enhancement</kwd>
<kwd>strains</kwd>
<kwd>systemic lupus erythematous</kwd>
<kwd>T1 mapping</kwd>
<kwd>T2 mapping</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="37"/>
<page-count count="10"/>
<word-count count="4464"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Autoimmune and Autoinflammatory Disorders: Autoinflammatory Disorders</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Systemic lupus erythematosus (SLE) is an autoimmune disease that mainly affects women and tends to involve more than one system (<xref ref-type="bibr" rid="B1">1</xref>). In many SLE patients, pleural effusion (PE) is a common pulmonary manifestation with a prevalence ranging from 16% to 50% and has been linked to disease activity (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>). Previous studies have demonstrated that SLE patients with a higher level of disease activity have an increased risk of cardiovascular disease (<xref ref-type="bibr" rid="B4">4</xref>&#x2013;<xref ref-type="bibr" rid="B6">6</xref>). Cardiac involvement is the leading cause of death in patients with SLE, even in the early stages of the disease (<xref ref-type="bibr" rid="B7">7</xref>&#x2013;<xref ref-type="bibr" rid="B9">9</xref>). Considering that SLE patients with PE often reflect disease activity and are likely to have cardiac involvement in clinical practice, this finding suggests that an assessment of cardiac involvement in these patients is crucial (<xref ref-type="bibr" rid="B10">10</xref>).</p>
<p>Cardiovascular magnetic resonance imaging (CMR) is a promising technique that allows the non-invasive characterization of myocardial tissue characteristics using late gadolinium enhancement (LGE), and T1 and T2 mapping (<xref ref-type="bibr" rid="B11">11</xref>&#x2013;<xref ref-type="bibr" rid="B13">13</xref>). Previous studies have shown that T1 and extracellular volume (ECV) values, an indirect measure of myocardial interstitial fibrosis, and T2 values, a parameter of edema, are usually present in patients with SLE (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>). According to recent studies, patients with SLE have significantly higher T1, ECV, and T2 values, indicating subclinical myocardial damage (<xref ref-type="bibr" rid="B16">16</xref>&#x2013;<xref ref-type="bibr" rid="B18">18</xref>). Although disease activity correlates with myocardial damage in patients with SLE, little is known about the additive effect of PE on the heart, including fibrosis and edema (<xref ref-type="bibr" rid="B4">4</xref>). Therefore, this study aimed to investigate multi-parameter CMR findings in SLE patients with PE and to explore whether cardiac involvement is associated with PE.</p>
</sec>
<sec id="s2">
<title>Methods</title>
<sec id="s2_1">
<title>Study population</title>
<p>This prospective study was approved by our Institutional Research Ethics Board, and written informed consent was obtained. All included participants were continuously enrolled at Chengdu Fifth People&#x2019;s Hospital between January 2021 and March 2024. CMR, chest computed tomography (CT), and echocardiography were performed in patients diagnosed with SLE according to the 2019 European League Against Rheumatism/American College of Rheumatology classification criteria (<xref ref-type="bibr" rid="B19">19</xref>). The exclusion criteria were as follows: (1) age &lt; 18 years; (2) known cardiomyopathies, including hypertrophic cardiomyopathy, dilated cardiomyopathy, amyloidosis, and cardiac sarcoidosis; (3) severe valvular disease; and (4) poor image quality or incomplete clinical record. PE diagnosis was based on CT of the chest, and SLE patients with a height of effusion &gt; 5&#xa0;mm were enrolled into the SLE patients with PE cohort (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B21">21</xref>). Therefore, SLE patients were divided into two cohorts: SLE patients without PE and SLE patients with PE. Age- and sex-matched healthy controls without known myocardial disease or suspected myocarditis on CMR were recruited as the control group.</p>
<p>Clinical records, including age, sex, disease activity, hepatic and renal function, and medications, were obtained from electronic medical records.</p>
</sec>
<sec id="s2_2">
<title>CMR image acquisition</title>
<p>CMR imaging was performed using a Siemens Vida 3.0T MRI system with a 32-channel body coil and electrocardiogram-gating. Cine, pre-contrast T1 mapping, LGE imaging, and post-contrast T1 mapping were obtained with short-axis and 4-chamber views while the patient held their breath. Cine images were obtained using a balanced steady-state free precession (SSFP) sequence (repetition time (TR): 39.12 ms; echo time (TE): 1.43 ms; flip angle (FA): 80&#xb0;; field of view (FOV): 420&#xa0;mm; matrix: 256&#xd7;199; phase: 25) in long-axis 2-chamber, 3-chamber, 4-chamber, and short-axis 2-chamber (8&#xa0;mm slice thickness and 2&#xa0;mm gap). Pre- and post-T1 mapping were acquired using a modified Look-Locker inversion recovery (MOLLI) sequence before and 10-15 minutes after an intravenous administration of 0.2 mmol/Kg of gadolinium diethylenetriamine penta-acetic acid (Gd-DTPA) (MultiHance; Bracco) with the following parameters: TR: 257.3 ms; TE: 0.95 ms; FA: 35&#xb0;; FOV: 420&#xa0;mm; matrix: 256&#xd7;144; bandwidth: 1085 Hz/Px; echo spacing: 2.24 ms. T2 mapping imaging was obtained before Gd-DTPA was injected with the following parameters: TR: 224.8 ms; TE: 1.22 ms; FA: 12&#xb0;; FOV: 420&#xa0;mm; matrix: 192&#xd7;116; bandwidth: 1184 Hz/Px; echo spacing: 2.94 ms. LGE images were obtained 10-15 minutes after Gd-DTPA injection using the phase-sensitive inversion recovery (PSIR) sequence with the following parameters: TR: 740 ms; TE: 1.06 ms; FA: 40&#xb0;; FOV: 420&#xa0;mm; matrix: 256&#xd7;144.</p>
</sec>
<sec id="s2_3">
<title>CMR analysis</title>
<p>All CMR images were analyzed using offline software (CMR42, v. 5.15.4, Circle Cardiovascular Imaging, Calgary, Canada) by an investigator with 5 years of CMR experience. Short-axis images were loaded into the functional SAX module, the endocardial and epicardial borders were automatically traced in the LV end-diastole and end-systole phases, and LV and RV functional parameters, including LV ejection fraction (LVEF), LV end-diastolic (LVEDV), LV end-systolic (LVESV), LV stroke volume (LVSV), LV mass, RV ejection fraction (RVEF), RV end-diastolic (RVEDV), RV end-systolic (RVESV), and RV stroke volume (RVSV), were calculated. Papillary muscles were calculated as the LV volume. LV strains, including global radial strain (GRS), global circumferential strain (GCS), and global longitudinal strain (GLS), were measured using the 3D feature-tracking module with 2-chamber, 4-chamber long-axis, and short-axis cine images.</p>
<p>Pre- and post-contrast T1 mapping were loaded into the tissue T1 mapping module to obtain the Native T1 and ECV values. ECV values were calculated using the formula described in a previous study (<xref ref-type="bibr" rid="B22">22</xref>). Hematocrit was obtained within 1 week of the CMR scan. T2 mapping images were analyzed using the tissue T2 mapping module, and the mean T2 values for the global LV myocardium were obtained by manually drawing the endocardial and epicardial borders. The presence of LGE was visually assessed by an investigator blinded to the clinical data.</p>
</sec>
<sec id="s2_4">
<title>Statistical analysis</title>
<p>All data were analyzed using GraphPad Prism 7 (Version 7.00, GraphPad Software, Inc.) or SPSS (Version 23.0, Released 2015, IBM Corp). Continuous variables were tested using the D&#x2019;Agostino and Pearson normality test and expressed as mean &#xb1; SD or median (interquartile range, Q25&#x2013;75). Categorical data were expressed as numbers and percentages. The unpaired t-test, Mann-Whitney U test, or chi-square test were performed to compare the SLE patients and controls as appropriate. In addition, comparisons between three groups (SLE patients with PE, SLE patients without PE, and controls) were conducted using a one-way analysis of variance (ANOVA) or Kruskal-Wallis test on the clinical and CMR variables. Pearson&#x2019;s correlation was performed to assess the relationship between T1, ECV, and T2 values. Univariable and multivariable linear regressions were used to identify independent factors of tissue characteristic parameters. Variables with P-values less than 0.10 in the univariate linear regression analysis were included in the multivariate linear regressions. A P-value less than 0.05 was considered significant.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Patient characteristics</title>
<p>A total of 123 patients with SLE who underwent CMR imaging were enrolled in the study from our hospital between January 2021 and March 2023. Based on the inclusion and exclusion criteria, 12 patients with SLE were excluded (six SLE patients underwent repeated CMR scans, one SLE patient had hypertrophic cardiomyopathy, two SLE patients had myocardial infarction, two SLE patients had severe valvular disease, and one SLE patient was aged &lt; 18 years). Finally, 111 patients with SLE were included, and the majority of the patients were female (87.38%). Of the 111 SLE patients, 26 (23.42%) had PE, and the remaining 85 (76.58%) were classified as having SLE without PE. In addition, we recruited 24 age- and sex-matched healthy individuals with no significant systemic or cardiovascular diseases as the control group. The baseline characteristics of the study cohort are presented in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. For patients with SLE, there was no difference in sex distribution between those with and without PE (P&gt;0.05). Moreover, there was no significant difference in age among the three groups (P&gt;0.05).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Baseline characteristics of the patients with SLE with or without PE.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">
</th>
<th valign="top" align="center">SLE without PE (n=85)</th>
<th valign="top" align="center">SLE with PE (n=26)</th>
<th valign="top" align="center">P value*</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age, years</td>
<td valign="top" align="center">45.08&#xb1;14.76</td>
<td valign="top" align="center">43.66&#xb1;14.36</td>
<td valign="top" align="center">41.23&#xb1;13.39</td>
<td valign="top" align="center">0.538</td>
</tr>
<tr>
<td valign="top" align="left">Female, n (%)</td>
<td valign="top" align="center">17(70.83)</td>
<td valign="top" align="center">74(80.06)</td>
<td valign="top" align="center">23(88.46)</td>
<td valign="top" align="center">0.125</td>
</tr>
<tr>
<td valign="top" align="left">Disease duration, years</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">2.00(0.20,7.00)</td>
<td valign="top" align="center">2.00(0.20,8.50)</td>
<td valign="top" align="center">0.906</td>
</tr>
<tr>
<td valign="top" align="left">BMI</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">21.79&#xb1;3.03</td>
<td valign="top" align="center">22.17&#xb1;4.07</td>
<td valign="top" align="center">0.628</td>
</tr>
<tr>
<td valign="top" align="left">Systolic blood pressure (mmHg)</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">124.2&#xb1;15.65</td>
<td valign="top" align="center">118.4&#xb1;17.38</td>
<td valign="top" align="center">0.074</td>
</tr>
<tr>
<td valign="top" align="left">Diastolic blood pressure (mmHg)</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">80.69&#xb1;13.16</td>
<td valign="top" align="center">74.04&#xb1;14.81</td>
<td valign="top" align="center">
<bold>0.033</bold>
</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">Clinical</th>
</tr>
<tr>
<th valign="top" colspan="5" align="left">Laboratory results</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;White cell count (&#xd7;10<sup>9</sup>/L)</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">5.33&#xb1;2.79</td>
<td valign="top" align="center">7.24&#xb1;3.29</td>
<td valign="top" align="center">
<bold>0.005</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Neutral lymphocytes (%)</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">61.75(2.12, 80.70)</td>
<td valign="top" align="center">77.30(67.75, 84.55)</td>
<td valign="top" align="center">0.056</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Haemoglobin (g/dl)</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">112.90&#xb1;22.17</td>
<td valign="top" align="center">99.94&#xb1;19.34</td>
<td valign="top" align="center">
<bold>0.009</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Hematocrit (%)</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">35.81&#xb1;8.61</td>
<td valign="top" align="center">31.60&#xb1;6.00</td>
<td valign="top" align="center">
<bold>0.012</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;CRP (mg/L)</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">3.00(1.20, 11.00)</td>
<td valign="top" align="center">16.90(2.00, 52.30)</td>
<td valign="top" align="center">
<bold>0.002</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;ESR (mm/1<sup>st</sup> hour)</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">32.00(12.00, 67.00)</td>
<td valign="top" align="center">55.00(31.50, 88.00)</td>
<td valign="top" align="center">
<bold>0.003</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Urinary protein positive, n (%)</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">31(39.24)</td>
<td valign="top" align="center">18(72.00)</td>
<td valign="top" align="center">
<bold>0.005</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Creatinine (mg/mL)</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">61.95&#xb1;22.75</td>
<td valign="top" align="center">73.10&#xb1;34.99</td>
<td valign="top" align="center">0.239</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Urea nitrogen (pg/mL)</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">5.73(4.24, 7.79)</td>
<td valign="top" align="center">5.84(4.36, 8.62)</td>
<td valign="top" align="center">0.797</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Serum albumin (g/L)</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">37.86&#xb1;6.69</td>
<td valign="top" align="center">30.68&#xb1;7.77</td>
<td valign="top" align="center">
<bold>&lt;0.001</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">Glutamic-pyruvic transaminase (U/L)</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">24.00(15.00, 38.00)</td>
<td valign="top" align="center">23.50(12.25, 48.75)</td>
<td valign="top" align="center">0.983</td>
</tr>
<tr>
<td valign="top" align="left">Glutamic oxaloacetic transaminase (U/L)</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">32.01&#xb1;23.00</td>
<td valign="top" align="center">47.00&#xb1;41.22</td>
<td valign="top" align="center">0.336</td>
</tr>
<tr>
<td valign="top" align="left">Blood glucose (mg/dL)</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">5.36&#xb1;1.20</td>
<td valign="top" align="center">4.95&#xb1;0.90</td>
<td valign="top" align="center">0.172</td>
</tr>
<tr>
<td valign="top" align="left">Total cholesterol (mmol/L)</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">4.13&#xb1;0.96</td>
<td valign="top" align="center">4.63&#xb1;1.43</td>
<td valign="top" align="center">0.159</td>
</tr>
<tr>
<td valign="top" align="left">Triglyceride (mmol/L)</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">1.47(1.09, 2.01)</td>
<td valign="top" align="center">1.79(1.24, 2.74)</td>
<td valign="top" align="center">0.179</td>
</tr>
<tr>
<td valign="top" align="left">HDL-cholesterol (mmol/L)</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">1.03&#xb1;0.38</td>
<td valign="top" align="center">1.17&#xb1;0.41</td>
<td valign="top" align="center">0.149</td>
</tr>
<tr>
<td valign="top" align="left">Blood calcium (mmol/L)</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">2.15&#xb1;0.13</td>
<td valign="top" align="center">1.99&#xb1;0.18</td>
<td valign="top" align="center">
<bold>&lt;0.001</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">Blood phosphorus (mmol/L)</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">1.13&#xb1;0.24</td>
<td valign="top" align="center">1.22&#xb1;0.23</td>
<td valign="top" align="center">0.119</td>
</tr>
<tr>
<td valign="top" align="left">Blood potassium (mmol/L)</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">3.76&#xb1;0.46</td>
<td valign="top" align="center">3.85&#xb1;0.52</td>
<td valign="top" align="center">0.233</td>
</tr>
<tr>
<td valign="top" align="left">Blood sodium (mmol/L)</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">141.80&#xb1;4.91</td>
<td valign="top" align="center">140.10&#xb1;4.03</td>
<td valign="top" align="center">
<bold>0.019</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Serum C3 (mg/L)</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">0.76&#xb1;0.28</td>
<td valign="top" align="center">0.70&#xb1;0.35</td>
<td valign="top" align="center">0.259</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Serum C4 (mg/L)</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">0.12&#xb1;0.08</td>
<td valign="top" align="center">0.12&#xb1;0.07</td>
<td valign="top" align="center">0.687</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;ANA positive, n (%)</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">76(92.68)</td>
<td valign="top" align="center">20(89.96)</td>
<td valign="top" align="center">0.407</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Anti-dsDNA positive, n (%)</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">38(48.72)</td>
<td valign="top" align="center">13(56.52)</td>
<td valign="top" align="center">0.636</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;ANCA positive, n (%)</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">27(35.06)</td>
<td valign="top" align="center">8(34.78)</td>
<td valign="top" align="center">&gt;0.999</td>
</tr>
<tr>
<td valign="top" align="left">ACA-IgG positive (U/L)</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">16.47&#xb1;28.37</td>
<td valign="top" align="center">9.86&#xb1;9.06</td>
<td valign="top" align="center">0.728</td>
</tr>
<tr>
<td valign="top" align="left">Creatine Kinase (U/L)</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">40.00(26.75, 70.75)</td>
<td valign="top" align="center">53.00(24.00, 209.0)</td>
<td valign="top" align="center">0.091</td>
</tr>
<tr>
<td valign="top" align="left">CK-MB (U/L)</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">10.00(8.00, 13.00)</td>
<td valign="top" align="center">11.00(9.00, 16.75)</td>
<td valign="top" align="center">0.248</td>
</tr>
<tr>
<td valign="top" align="left">Lactate dehydrogenase (U/L)</td>
<td valign="top" align="center">-</td>
<td valign="top" align="center">211.0(162.0, 260.0)</td>
<td valign="top" align="center">261.0(207.3, 419.0)</td>
<td valign="top" align="center">
<bold>0.001</bold>
</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">Medicine, n (%)</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Prednisone</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="top" align="center">73(90.12)</td>
<td valign="top" align="center">24(100)</td>
<td valign="top" align="center">0.193</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Hydroxychloroquine</td>
<td valign="bottom" align="center">-</td>
<td valign="top" align="center">70(86.42)</td>
<td valign="top" align="center">18(75)</td>
<td valign="top" align="center">0.211</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Methotrexate</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="top" align="center">4(4.94)</td>
<td valign="top" align="center">1(4.17)</td>
<td valign="top" align="center">0.507</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Azathioprine</td>
<td valign="bottom" align="center">-</td>
<td valign="top" align="center">3(3.7)</td>
<td valign="top" align="center">2(8.33)</td>
<td valign="top" align="center">0.321</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Rebamipide</td>
<td valign="bottom" align="center">&#x2013;</td>
<td valign="top" align="center">28(34.57)</td>
<td valign="top" align="center">8(33.33)</td>
<td valign="top" align="center">&gt;0.999</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Values are mean &#xb1; SD, number (%), or median (25th-75th percentile). Numbers in boldface indicate P values &lt;0.05.</p>
</fn>
<fn>
<p>*P value across the 3 groups.</p>
</fn>
<fn>
<p>SLE, systemic lupus erythematous; PE, pleural effusion; BMI, body mass index; CRP, c-reactive protein; ESR, erythrocyte sedimentation rate; HDL, high-density lipoprotein; ANA, antinuclear antibody; ANCA, anti-neutrophil cytoplasmic antibodies; ACA-IgG, human anti-cardiolipin antibody-immunoglobulin G; CK-MB, creatine kinase-MB.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Disease duration did not differ significantly between SLE patients with and without PE (P&gt;0.05). However, immune parameters including white cell count, hemoglobin, CRP, and ESR were higher in the SLE patients in the PE group than in the SLE patients without PE (P&lt;0.05). In addition, the prevalence of urinary protein positivity was greater in patients with SLE with PE than in those without PE (P&lt;0.05). Compared to SLE patients without PE, lactate dehydrogenase levels were increased and blood calcium levels were reduced in SLE patients with PE (P&lt;0.05).</p>
</sec>
<sec id="s3_2">
<title>Cardiac function and LV strains</title>
<p>Pericardial effusion was more frequent in SLE patients with PE than those without PE (P&lt;0.05). However, there were no significant differences in LVEDV, LVESV, LVSV, LVEF, LVCO, LV mass, RVEDV, RVESV, RVSV, RVEF, and RVCO among the three groups (P&gt;0.05). Furthermore, there were no significant differences in GRS, GCS, and GLS between the three groups (P&gt;0.05) (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Imaging characteristics of patients with SLE depending on the presence of PE.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">Control (n=24)</th>
<th valign="top" align="center">SLE without PE (n=85)</th>
<th valign="top" align="center">SLE with PE (n=26)</th>
<th valign="top" align="center">P value*</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="top" colspan="5" align="left">CMR</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;HR,</td>
<td valign="top" align="center">73.31&#xb1;13.86</td>
<td valign="top" align="center">74.69&#xb1;15.63</td>
<td valign="top" align="center">74.88&#xb1;16.34</td>
<td valign="top" align="center">0.915</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Pericardial effusions</td>
<td valign="top" align="center">0(0)</td>
<td valign="top" align="center">6(7.05)</td>
<td valign="top" align="center">13(50)</td>
<td valign="top" align="center">
<bold>&lt;0.001</bold>
</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">LV morphology &amp; function</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;LVEDV, ml</td>
<td valign="top" align="center">102.20&#xb1;21.31</td>
<td valign="top" align="center">107.60&#xb1;26.41</td>
<td valign="top" align="center">212.40&#xb1;38.41</td>
<td valign="top" align="center">0.079</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;LVESV, ml</td>
<td valign="top" align="center">37.83&#xb1;11.19</td>
<td valign="top" align="center">39.13&#xb1;14.86</td>
<td valign="top" align="center">49.94&#xb1;36.05</td>
<td valign="top" align="center">0.450</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;LVSV, ml</td>
<td valign="top" align="center">64.23&#xb1;13.45</td>
<td valign="top" align="center">68.43&#xb1;18.85</td>
<td valign="top" align="center">71.46&#xb1;15.91</td>
<td valign="top" align="center">0.190</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;LVCO, ml</td>
<td valign="top" align="center">4.69&#xb1;1.37</td>
<td valign="top" align="center">4.98&#xb1;1.30</td>
<td valign="top" align="center">5.29&#xb1;1.33</td>
<td valign="top" align="center">0.126</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;LVEF, %</td>
<td valign="top" align="center">63.05&#xb1;6.43</td>
<td valign="top" align="center">63.71&#xb1;9.80</td>
<td valign="top" align="center">62.20&#xb1;12.48</td>
<td valign="top" align="center">0.560</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;LV mass, g</td>
<td valign="top" align="center">67.75&#xb1;17.25</td>
<td valign="top" align="center">69.99&#xb1;19.28</td>
<td valign="top" align="center">77.37&#xb1;23.54</td>
<td valign="top" align="center">0.121</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">LV strain</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;GRS, %</td>
<td valign="top" align="center">39.95&#xb1;12.02</td>
<td valign="top" align="center">35.66&#xb1;11.73</td>
<td valign="top" align="center">35.49&#xb1;12.16</td>
<td valign="top" align="center">0.345</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;GCS, %</td>
<td valign="top" align="center">-18.78&#xb1;2.40</td>
<td valign="top" align="center">-19.12&#xb1;3.43</td>
<td valign="top" align="center">-19.15&#xb1;4.28</td>
<td valign="top" align="center">0.439</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;GLS, %</td>
<td valign="top" align="center">-14.53&#xb1;2.92</td>
<td valign="top" align="center">-13.83&#xb1;3.83</td>
<td valign="top" align="center">-13.38&#xb1;3.48</td>
<td valign="top" align="center">0.403</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">RV morphology &amp; function</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;RVEDV, ml</td>
<td valign="top" align="center">107.10&#xb1;25.92</td>
<td valign="top" align="center">113.40&#xb1;27.39</td>
<td valign="top" align="center">119.00&#xb1;23.27</td>
<td valign="top" align="center">0.241</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;RVESV, ml</td>
<td valign="top" align="center">53.12&#xb1;16.90</td>
<td valign="top" align="center">50.43&#xb1;18.55</td>
<td valign="top" align="center">55.70&#xb1;20.30</td>
<td valign="top" align="center">0.475</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;RVSV, ml</td>
<td valign="top" align="center">53.96&#xb1;15.23</td>
<td valign="top" align="center">62.97&#xb1;17.84</td>
<td valign="top" align="center">63.33&#xb1;17.15</td>
<td valign="top" align="center">0.057</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;RVCO,</td>
<td valign="top" align="center">3.88&#xb1;1.26</td>
<td valign="top" align="center">4.57&#xb1;1.33</td>
<td valign="top" align="center">4.70&#xb1;1.46</td>
<td valign="top" align="center">0.050</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;RVEF, %</td>
<td valign="top" align="center">48.41&#xb1;14.01</td>
<td valign="top" align="center">55.86&#xb1;11.52</td>
<td valign="top" align="center">53.72&#xb1;12.52</td>
<td valign="top" align="center">0.073</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">LV myocardial LGE</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;LGE present, n (%)</td>
<td valign="top" align="center">0(0)</td>
<td valign="top" align="center">27(32.14)</td>
<td valign="top" align="center">18(72.00))</td>
<td valign="top" align="center">
<bold>&lt;0.001</bold>
</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">LV tissue characterization</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Native T1, ms</td>
<td valign="top" align="center">1261&#xb1;41</td>
<td valign="top" align="center">1284&#xb1;67</td>
<td valign="top" align="center">1348&#xb1;65&#x2021;&#x2020;</td>
<td valign="top" align="center">
<bold>&lt;0.001</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;ECV, %</td>
<td valign="top" align="center">26.54&#xb1;2.94</td>
<td valign="top" align="center">28.61&#xb1;3.60&#x2020;</td>
<td valign="top" align="center">31.92&#xb1;4.16&#x2021;&#x2020;</td>
<td valign="top" align="center">
<bold>&lt;0.001</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Native T2, ms</td>
<td valign="top" align="center">39.21&#xb1;2.85</td>
<td valign="top" align="center">41.96&#xb1;3.62&#x2020;</td>
<td valign="top" align="center">44.76&#xb1;3.68&#x2021;&#x2020;</td>
<td valign="top" align="center">
<bold>&lt;0.001</bold>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>*P value across the 3 groups.</p>
</fn>
<fn>
<p>&#x2020;P&lt;0.05 between individual group compared with control.</p>
</fn>
<fn>
<p>&#x2021;P&lt;0.05 between SLE with PE group compared with SLE without PE group.</p>
</fn>
<fn>
<p>SLE, systemic lupus erythematous; PE, pleural effusion; CMR, cardiac magnetic resonance; HR, heart rate; LV, left ventricle; LVEDV, left ventricular end diastolic volume; LVESV, left ventricular end systolic volume; LVSV, left ventricular stroke volume; LVCO, left ventricular cardiac output; LVEF, left ventricular ejection fraction; GRS, global radial strain; GCS, global circumferential strain; GLS, global longitudinal strain; RV, right ventricle; RVEDV, right ventricular end diastolic volume; RVESV, right ventricular end systolic volume; RVSV, right ventricular stroke volume; RVCO, right ventricular cardiac output; RVEF, right ventricular ejection fraction; LGE, late gadolinium enhancement; ECV, extracellular volume.</p>
<p>Numbers in boldface indicate P values &lt;0.05.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_3">
<title>Scar burden, myocardial fibrosis, and edema</title>
<p>Among our SLE patients, 45 had LGE. LGE was more prevalent in the SLE patients with PE compared with those without PE (P&lt;0.001).</p>
<p>Native T1 (1348 &#xb1; 65 ms vs. 1284 &#xb1; 67 ms vs. 1261 &#xb1; 41 ms; P&lt;0.001) and ECV (31.92 &#xb1; 4.16% vs. 28.61 &#xb1; 3.60% vs. 26.54 &#xb1; 2.94%; P&lt;0.001) values were highest in the SLE patients with PE, intermediate in SLE patients without PE and the lowest in the control group (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>; <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Representative short-axis cardiovascular magnetic resonance (CMR) images of systemic lupus erythematosus (SLE) patients with or without pleural effusion (PE) and controls. Please note that the SLE patients with PE have LGE at right ventricular insertion points (narrow arrows). LVEF, left ventricular ejection fraction; GRS, global radial strain; GCS, global circumferential strain; GLS, global longitudinal strain.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1504624-g001.tif"/>
</fig>
<p>Moreover, edema, indicated by the T2 values, was greater in SLE patients with PE, intermediate in SLE patients without PE, and lowest in the control group (44.76 &#xb1; 3.68 ms vs. 41.96 &#xb1; 3.62 ms vs. 39.21 &#xb1; 2.85 ms; P&lt;0.001) (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>; <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
</sec>
<sec id="s3_4">
<title>Correlation of Native T1 and ECV with increased T2 values</title>
<p>The analyses of the relationships between Native T1, ECV, and T2 values are shown in <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>. In the SLE patients, Native T1 was moderately associated with T2 (Pearson r=0.404; P&lt;0.001). In addition, there was a positive correlation between ECV and increased T2 values in patients with SLE (Spearman&#x2019;s r=0.393; P&lt;0.001).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Scatter plots depicting the relationship between T2 and Native T1 values (2A) and extracellular volume (ECV) value (2B).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1504624-g002.tif"/>
</fig>
</sec>
<sec id="s3_5">
<title>Relationship between clinical parameters and T1 mapping, T2 mapping, and LGE in SLE patients</title>
<p>As demonstrated in <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>, univariate and multivariate linear regressions showed that PE was independently correlated with LGE (&#x3b2;=0.329; P&lt;0.05), T1 (&#x3b2;=0.346; P&lt;0.05), ECV (&#x3b2;=0.353; P&lt;0.05), and T2 values (&#x3b2;=0.201; P&lt;0.05). Moreover, age was independently associated with Native T1 (&#x3b2;=-0.273; P&lt;0.05). In addition, hemoglobin (&#x3b2;=-0.255; P&lt;0.05) and HDL cholesterol (&#x3b2;=0.219; P&lt;0.05) were independently associated with T2 values.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Linear regression analysis of the LV LGE and T1 and T2 mapping in the patients with SLE.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left"/>
<th valign="top" colspan="2" align="center">LGE</th>
<th valign="top" colspan="2" align="center">Native T1</th>
<th valign="top" align="center">ECV</th>
<th valign="top" colspan="2" align="center">T2</th>
</tr>
<tr>
<th valign="top" align="center">Univariable &#x3b2;</th>
<th valign="top" align="center">Multivariable &#x3b2;, R2=0.164</th>
<th valign="top" align="center">Univariable &#x3b2;</th>
<th valign="top" align="center">Multivariable &#x3b2;, R2=0.319</th>
<th valign="top" align="center">Univariable &#x3b2;</th>
<th valign="top" align="center">Univariable &#x3b2;</th>
<th valign="top" align="center">Multivariable &#x3b2;, R2=0.173</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">-0.043</td>
<td valign="top" align="center"/>
<td valign="top" align="center">-0.118</td>
<td valign="top" align="center"/>
<td valign="top" align="center">-0.058</td>
<td valign="top" align="center">-0.111</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="center">-0.081</td>
<td valign="top" align="center"/>
<td valign="top" align="center">
<bold>-0.297*</bold>
</td>
<td valign="top" align="center">
<bold>-0.273*</bold>
</td>
<td valign="top" align="center">-0.132</td>
<td valign="top" align="center">
<bold>-0.230*</bold>
</td>
<td valign="top" align="center">-0.174</td>
</tr>
<tr>
<td valign="top" align="left">Disease duration</td>
<td valign="top" align="center">0.022</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.114</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.127</td>
<td valign="top" align="center">-0.027</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">BMI</td>
<td valign="top" align="center">-0.130</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.006</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.003</td>
<td valign="top" align="center">0.052</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Systolic blood pressure</td>
<td valign="top" align="center">
<bold>-0.178**</bold>
</td>
<td valign="top" align="center">-0.082</td>
<td valign="top" align="center">0.058</td>
<td valign="top" align="center"/>
<td valign="top" align="center">-0.099</td>
<td valign="top" align="center">0.116</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Diastolic blood pressure</td>
<td valign="top" align="center">
<bold>-0.166**</bold>
</td>
<td valign="top" align="center">-0.040</td>
<td valign="top" align="center">0.022</td>
<td valign="top" align="center"/>
<td valign="top" align="center">-0.046</td>
<td valign="top" align="center">0.094</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">White cell count</td>
<td valign="top" align="center">0.009</td>
<td valign="top" align="center"/>
<td valign="top" align="center">-0.123</td>
<td valign="top" align="center"/>
<td valign="top" align="center">-0.121</td>
<td valign="top" align="center">-0.964</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Neutral lymphocytes</td>
<td valign="top" align="center">0.044</td>
<td valign="top" align="center"/>
<td valign="top" align="center">-0.058</td>
<td valign="top" align="center"/>
<td valign="top" align="center">-0.081</td>
<td valign="top" align="center">-0.030</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Haemoglobin</td>
<td valign="top" align="center">0.079</td>
<td valign="top" align="center"/>
<td valign="top" align="center">-0.063</td>
<td valign="top" align="center"/>
<td valign="top" align="center">-0.060</td>
<td valign="top" align="center">
<bold>-0.187**</bold>
</td>
<td valign="top" align="center">
<bold>-0.225*</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">Hematocrit</td>
<td valign="top" align="center">0.115</td>
<td valign="top" align="center"/>
<td valign="top" align="center">-0.005</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.010</td>
<td valign="top" align="center">-0.077</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">CRP</td>
<td valign="top" align="center">0.076</td>
<td valign="top" align="center"/>
<td valign="top" align="center">
<bold>-0.168**</bold>
</td>
<td valign="top" align="center">-0.139</td>
<td valign="top" align="center">0.062</td>
<td valign="top" align="center">-0.121</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">ESR</td>
<td valign="top" align="center">-0.097</td>
<td valign="top" align="center"/>
<td valign="top" align="center">
<bold>-0.176**</bold>
</td>
<td valign="top" align="center">-0.112</td>
<td valign="top" align="center">-0.041</td>
<td valign="top" align="center">-0.058</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Creatinine</td>
<td valign="top" align="center">0.088</td>
<td valign="top" align="center"/>
<td valign="top" align="center">-0.120</td>
<td valign="top" align="center"/>
<td valign="top" align="center">-0.008</td>
<td valign="top" align="center">0.060</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Urea nitrogen</td>
<td valign="top" align="center">-0.063</td>
<td valign="top" align="center"/>
<td valign="top" align="center">-0.081</td>
<td valign="top" align="center"/>
<td valign="top" align="center">-0.101</td>
<td valign="top" align="center">-0.006</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Serum albumin</td>
<td valign="top" align="center">-0.079</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.067</td>
<td valign="top" align="center"/>
<td valign="top" align="center">-0.041</td>
<td valign="top" align="center">0.003</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Glutamic-pyruvic transaminase</td>
<td valign="top" align="center">0.073</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.029</td>
<td valign="top" align="center"/>
<td valign="top" align="center">-0.010</td>
<td valign="top" align="center">-0.021</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Glutamic oxaloacetic transaminase</td>
<td valign="top" align="center">0.154</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.015</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.069</td>
<td valign="top" align="center">-0.047</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Blood glucose</td>
<td valign="top" align="center">-0.034</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.037</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.068</td>
<td valign="top" align="center">0.015</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Total cholesterol</td>
<td valign="top" align="center">0.036</td>
<td valign="top" align="center"/>
<td valign="top" align="center">-0.038</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.050</td>
<td valign="top" align="center">0.086</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Triglyceride</td>
<td valign="top" align="center">0.045</td>
<td valign="top" align="center"/>
<td valign="top" align="center">-0.028</td>
<td valign="top" align="center"/>
<td valign="top" align="center">-0.035</td>
<td valign="top" align="center">-0.102</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">HDL-cholesterol</td>
<td valign="top" align="center">-0.021</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.126</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.077</td>
<td valign="top" align="center">
<bold>0.180**</bold>
</td>
<td valign="top" align="center">
<bold>0.219*</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">Serum C3</td>
<td valign="top" align="center">-0.057</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.036</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.115</td>
<td valign="top" align="center">0.064</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Serum C4</td>
<td valign="top" align="center">0.027</td>
<td valign="top" align="center"/>
<td valign="top" align="center">-0.021</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.057</td>
<td valign="top" align="center">0.065</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Creatine Kinase</td>
<td valign="top" align="center">0.106</td>
<td valign="top" align="center"/>
<td valign="top" align="center">-0.031</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.012</td>
<td valign="top" align="center">-0.019</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">CK-MB</td>
<td valign="top" align="center">-0.072</td>
<td valign="top" align="center"/>
<td valign="top" align="center">-0.078</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.006</td>
<td valign="top" align="center">-0.052</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Lactate dehydrogenase</td>
<td valign="top" align="center">
<bold>0.192**</bold>
</td>
<td valign="top" align="center">0.123</td>
<td valign="top" align="center">-0.011</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.081</td>
<td valign="top" align="center">-0.021</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">HR</td>
<td valign="top" align="center">-0.032</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.029</td>
<td valign="top" align="center"/>
<td valign="top" align="center">-0.060</td>
<td valign="top" align="center">-0.064</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">LVEDV</td>
<td valign="top" align="center">-0.019</td>
<td valign="top" align="center"/>
<td valign="top" align="center">
<bold>-0.230*</bold>
</td>
<td valign="top" align="center">-0.054</td>
<td valign="top" align="center">0.025</td>
<td valign="top" align="center">-0.032</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">LVESV</td>
<td valign="top" align="center">0.032</td>
<td valign="top" align="center"/>
<td valign="top" align="center">-0.126</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.087</td>
<td valign="top" align="center">-0.037</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">LVEF</td>
<td valign="top" align="center">0.026</td>
<td valign="top" align="center"/>
<td valign="top" align="center">-0.001</td>
<td valign="top" align="center"/>
<td valign="top" align="center">-0.077</td>
<td valign="top" align="center">0.053</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">LV mass</td>
<td valign="top" align="center">-0.065</td>
<td valign="top" align="center"/>
<td valign="top" align="center">
<bold>-0.272*</bold>
</td>
<td valign="top" align="center">-0.074</td>
<td valign="top" align="center">0.039</td>
<td valign="top" align="center">0.005</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">RVEDV</td>
<td valign="top" align="center">-0.054</td>
<td valign="top" align="center"/>
<td valign="top" align="center">
<bold>-0.252*</bold>
</td>
<td valign="top" align="center">-0.101</td>
<td valign="top" align="center">-0.040</td>
<td valign="top" align="center">-0.149</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">RVESV</td>
<td valign="top" align="center">-0.260</td>
<td valign="top" align="center"/>
<td valign="top" align="center">-0.158</td>
<td valign="top" align="center"/>
<td valign="top" align="center">0.012</td>
<td valign="top" align="center">
<bold>-0.164**</bold>
</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">RVEF</td>
<td valign="top" align="center">-0.005</td>
<td valign="top" align="center"/>
<td valign="top" align="center">-0.003</td>
<td valign="top" align="center"/>
<td valign="top" align="center">-0.061</td>
<td valign="top" align="center">0.089</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">PE</td>
<td valign="top" align="center">
<bold>0.340*</bold>
</td>
<td valign="top" align="center">
<bold>0.329*</bold>
</td>
<td valign="top" align="center">
<bold>0.378*</bold>
</td>
<td valign="top" align="center">
<bold>0.346*</bold>
</td>
<td valign="top" align="center">
<bold>0.353*</bold>
</td>
<td valign="top" align="center">
<bold>0.305*</bold>
</td>
<td valign="top" align="center">
<bold>0.201*</bold>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>LV, left ventricular; LGE, late gadolinium enhancement; SLE, systemic lupus erythematous; ECV, extracellular volume; BMI, body mass index; CRP, c-reactive protein; ESR, erythrocyte sedimentation rate; HDL, high-density lipoprotein; CK-MB, creatine kinase-MB; HR, heart rate; LV, left ventricle; LVEDV, left ventricular end diastolic volume; LVESV, left ventricular end systolic volume; LVEF, left ventricular ejection fraction; RVEDV, right ventricular end diastolic volume; RVESV, right ventricular end systolic volume; RVEF, right ventricular ejection fraction; PE, pleural effusion; *P &lt; 0.05; **P &lt; 0.10.</p>
<p>Numbers in boldface indicate P values &lt;0.05.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>This study indicated that one-fifth of patients with SLE displayed PE. Moreover, patients with SLE with PE had a high prevalence of LGE. SLE patients with PE had higher Native T1, ECV, and T2 values compared with those without PE. However, GRS, GCS, and GLS were similar in patients with SLE with or without PE.</p>
<p>SLE is characterized as a chronic autoimmune disease that involves one or more organs, including the lungs, kidneys, joints, and cardiac system (<xref ref-type="bibr" rid="B23">23</xref>). Studies have shown that adverse cardiovascular events are the main cause of death among SLE patients (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>). Furthermore, the lungs are often involved and the most common manifestation is PE (<xref ref-type="bibr" rid="B26">26</xref>). In our study, nearly one-fifth of the patients with SLE had PE. Several studies have shown that SLE-induced PE is significantly associated with disease activity (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B27">27</xref>). Moreover, our research also confirmed that immune parameters, such as white cell count, hemoglobin, and hematocrit, which usually represent disease activity, were higher in SLE patients with PE than in SLE patients without PE. Therefore, patients with SLE and PE should be monitored carefully.</p>
<p>SLE patients with PE had significantly higher CPR and ESR levels than SLE patients without PE. This may indicate that SLE patients with PE have higher disease activity than SLE patients without PE (<xref ref-type="bibr" rid="B10">10</xref>). Moreover, PE is thought to be a manifestation of active SLE (<xref ref-type="bibr" rid="B28">28</xref>). A previous study showed that SLE patients with active disease, even those with new-onset SLE, were likely to have myocardial interstitial fibrosis and edema even when their ejection function was normal (<xref ref-type="bibr" rid="B22">22</xref>). Our study also found that although our SLE patients exhibited changes in myocardial interstitial fibrosis, their left ventricular strain was normal. Therefore, clinicians cannot rule out the presence of myocardial injury in patients with SLE with normal ejection function.</p>
<p>To the best of our knowledge, this is the first study to investigate multiparameter CMR findings in SLE patients with PE. In the present study, the LV ejection fraction was normal in SLE patients with PE and their native T1 value was elevated. Our results confirmed that T1 and ECV values are more effective than CMR strains in detecting early myocardial injury in patients with SLE. A previous study showed that cardiomyositis is caused by immune-mediated inflammation, which leads to myocardial fibrosis, including myocardial interstitial fibrosis and focal scarring (<xref ref-type="bibr" rid="B29">29</xref>). Moreover, PE has been associated with a high level of disease activity in patients with SLE, which can exacerbate myocardial endothelial cell damage. In other words, SLE patients with PE also have more severe inflammation than those without PE. The more severe the inflammation, the more severe the myocardial interstitial fibrosis and edema found in patients with SLE. Patients with SLE and PE have more interstitial fibrosis and edema, leading to myocardial remodeling, which may be a potential mechanism for exacerbating subclinical cardiac injury.</p>
<p>In our study, CMR showed a higher incidence of LGE in SLE patients with PE than in those without PE. A previous study revealed that the presence of LGE is associated with LV myocardial dysfunction and poor outcomes in patients with SLE (<xref ref-type="bibr" rid="B30">30</xref>). Moreover, SLE patients with PE have a heavier burden of focal LGE, compared with those without PE, indicating that these patients may require more attention and treatment (<xref ref-type="bibr" rid="B31">31</xref>).</p>
<p>T1 and T2 mapping are considered highly effective non-invasive methods for early detection and diagnosis of inflammation caused by SLE (<xref ref-type="bibr" rid="B18">18</xref>). Similar to previous studies, the results of this study showed that SLE patients had higher native T1 and ECV values (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B18">18</xref>). Notably, SLE patients with PE had significantly higher native T1 and ECV values than those with SLE alone. According to our study, SLE combined with PE may adversely affect myocardial tissue, including edema, fibrosis, and infiltration. Further studies are needed to establish whether PE treatment can reduce heart damage.</p>
<p>Although cardiac involvement is common in SLE patients, it is often mild or asymptomatic (<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B33">33</xref>). Patients with SLE lack symptoms related to cardiac injury; however, myocardial edema in the myocardial tissue can be detected by CMR (<xref ref-type="bibr" rid="B11">11</xref>). In addition, the T2 mapping sequence based on CMR can reflect subtle changes, such as myocardial edema, in patients with SLE (<xref ref-type="bibr" rid="B34">34</xref>). In our study, T2 values were elevated and associated with increased T1 and ECV values in SLE patients with PE, suggesting that PE may be a potential risk factor for myocardial edema.</p>
<p>CMR is a technique that can detect minor changes in the myocardium such as edema and fibrosis before systolic dysfunction occurs in SLE patients (<xref ref-type="bibr" rid="B35">35</xref>). The recently developed T1 and T2 quantitative mapping sequences using CMR can be sensitive and effective for depicting focal and global fibrosis, edema, and inflammation (<xref ref-type="bibr" rid="B36">36</xref>). In SLE patients with cardiac involvement and an increase in LV structural and functional abnormalities, targeted therapeutic interventions are needed (<xref ref-type="bibr" rid="B37">37</xref>). Similarly, our study confirmed that SLE patients with PE had significant cardiac damage, including fibrosis and edema, compared to those without PE. Moreover, SLE patients with PE demonstrated less favorable imaging profiles, including a higher prevalence of LGE, compared with SLE patients without PE. These findings indicate that using PE as a risk factor for myocardial injury may be needed for stricter control in patients with SLE with PE. Further research should be conducted to analyze the impact of PE on the long-term prognosis of patients with SLE.</p>
<sec id="s4_1">
<title>Limitations</title>
<p>This study has several limitations. First, this was an observational study with a limited number of participants. To our knowledge, this study is the first to evaluate myocardial involvement in SLE patients with PE, and our observations indicate that SLE patients with PE have more severe myocardial injury than SLE patients without PE. However, owing to the small sample size, subgroup analyses were not performed. Second, although PE was associated with elevated T1, T2, and ECV, which may indicate myocardial damage, the phenotypic characteristics of fibrosis and edema, including their location and degree, were not assessed. Third, T1 and T2 mapping and LGE sequences supported the presence of myocardial fibrosis and edema in previous studies; however, this was not confirmed by myocardial pathology. Further research using animal models is required for pathological verification.</p>
</sec>
</sec>
<sec id="s5" sec-type="conclusion">
<title>Conclusion</title>
<p>In summary, PE is associated with myocardial involvement in patients with SLE, as shown by increased diffuse myocardial fibrosis and edema, and a higher prevalence of LGE in the SLE patients with PE compared to those without PE. These adverse phenotypic features may be attributable to PE, but further mechanistic research is required.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by the Institutional Review Board of the Chengdu Fifth People&#x2019;s Hospital. 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. Written informed consent was obtained from the individual(s) for the publication of any potentially identifiable images or data included in this article.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>YaZ: Conceptualization, Data curation, Formal analysis, Funding acquisition, Methodology, Software, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. T-YZ: Methodology, Resources, Writing &#x2013; review &amp; editing. YoZ: Writing &#x2013; review &amp; editing. HZ: Writing &#x2013; review &amp; editing. YY: Writing &#x2013; review &amp; editing. MW: Writing &#x2013; review &amp; editing. ZW: Writing &#x2013; review &amp; editing. L-CG: Formal Analysis, Writing &#x2013; review &amp; editing. FB: Conceptualization, Writing &#x2013; review &amp; editing. S-YP: Conceptualization, Methodology, Writing &#x2013; original draft.</p>
</sec>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by the Scientific Research Project of Chengdu Health Committee (2023054).</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>This work was supported by the Scientific Research Project of Chengdu Health Committee (2023054).</p>
</ack>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s11" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The authors 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 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>
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