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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.2023.1209282</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>Predictors of rapidly progressive interstitial lung disease and prognosis in Chinese patients with anti-melanoma differentiation-associated gene 5-positive dermatomyositis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Meiqi</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/2286751"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhao</surname>
<given-names>Xuli</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Baocheng</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhao</surname>
<given-names>Yaqi</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Xinya</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Ma</surname>
<given-names>Zhenzhen</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2264248"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Yang</surname>
<given-names>Qingrui</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Rheumatology and Immunology, Shandong Provincial Hospital Affiliated to Shandong First Medical University</institution>, <addr-line>Jinan, Shandong</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Pain Medicine, Shandong Provincial Hospital Affiliated to Shandong First Medical University</institution>, <addr-line>Jinan, Shandong</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Rheumatology and Immunology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University</institution>, <addr-line>Jinan, Shandong</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Francesca Wanda Rossi, University of Naples Federico II, Italy</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Takemichi Fukasawa, The University of Tokyo Hospital, Japan; Yongzhe Li, Peking Union Medical College Hospital (CAMS), China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Zhenzhen Ma, <email xlink:href="mailto:mazhenzhendz@163.com">mazhenzhendz@163.com</email>; Qingrui Yang, <email xlink:href="mailto:qryang720@163.com">qryang720@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>24</day>
<month>08</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>14</volume>
<elocation-id>1209282</elocation-id>
<history>
<date date-type="received">
<day>20</day>
<month>04</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>08</day>
<month>08</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Li, Zhao, Liu, Zhao, Li, Ma and Yang</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Li, Zhao, Liu, Zhao, Li, Ma and Yang</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>Background</title>
<p>Rapidly progressive interstitial lung disease (RP-ILD) is the most serious complication of anti-melanoma differentiation-associated gene 5-positive dermatomyositis (anti-MDA5<sup>+</sup> DM). This study was performed to assess the prognostic factors of patients with anti-MDA5<sup>+</sup> DM and the clinical characteristics and predictors of anti-MDA5<sup>+</sup> DM in combination with RP-ILD.</p>
</sec>
<sec>
<title>Methods</title>
<p>In total, 73 MDA5<sup>+</sup> DM patients were enrolled in this study from March 2017 to December 2021. They were divided into survival and non-survival subgroups and non-RP-ILD and RP-ILD subgroups.</p>
</sec>
<sec>
<title>Results</title>
<p>The lactate dehydrogenase (LDH) concentration and prognostic nutritional index (PNI) were independent prognostic factors in patients with anti-MDA5<sup>+</sup> DM: the elevated LDH was associated with increased mortality (<italic>p</italic> = 0.01), whereas the elevated PNI was associated with reduced mortality (<italic>p</italic> &lt; 0.001). The elevated LDH was independent risk prognostic factor for patients with anti-MDA5<sup>+</sup> DM (HR 2.42, 95% CI: 1.02&#x2013;4.83, p = 0.039), and the elevated PNI was independent protective prognostic factor (HR, 0.27; 95% CI, 0.08 - 0.94; <italic>p</italic> = 0.039). Patients who had anti-MDA5<sup>+</sup> DM with RP-ILD had a significantly higher white blood cell count and LDH concentration than those without RP-ILD (<italic>p</italic> = 0.007 and <italic>p</italic> = 0.019, respectively). In contrast, PNI was significantly lower in patients with RP-ILD than those without RP-ILD (<italic>p</italic> &lt; 0.001). The white blood cell count and elevated LDH were independent and significant risk factors for RP-ILD (OR 1.54, 95% CI: 1.12 - 2.13, p = 0.009 and OR 8.68, 95% CI: 1.28 - 58.83, p = 0.027, respectively), whereas the lymphocyte was an independent protective factor (OR, 0.11; 95% CI, 0.01 - 0.81; <italic>p</italic> = 0.03).</p>
</sec>
<sec>
<title>Conclusion</title>
<p>The elevated LDH and elevated PNI were independent prognostic factors for patients with anti-MDA5<sup>+</sup> DM. The elevated LDH was independent risk factor for RP-ILD. Patients with anti-MDA5<sup>+</sup> DM could benefit from the measurement of LDH and PNI, which are inexpensive and simple parameters that could be used for diagnosis as well as prediction of the extent of lung involvement and prognosis.</p>
</sec>
</abstract>
<kwd-group>
<kwd>dermatomyositis</kwd>
<kwd>anti-melanoma differentiation-associated protein 5 antibody</kwd>
<kwd>rapidly progressive interstitial lung disease</kwd>
<kwd>lactate dehydrogenase</kwd>
<kwd>prognosis</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="6"/>
<equation-count count="0"/>
<ref-count count="60"/>
<page-count count="12"/>
<word-count count="6182"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Autoimmune and Autoinflammatory Disorders : Autoimmune Disorders</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Idiopathic inflammatory myopathy (IIM), also referred to as myositis, is a heterogeneous autoimmune disease with distinctive characteristics of chronic inflammation of the muscles, progressive muscle weakness, and increased muscle enzymes. Dermatomyositis (DM) is one of the most common clinical subtypes of IIM (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). Anti-melanoma differentiation-associated gene 5-positive DM (anti-MDA5<sup>+</sup> DM) refers to a rare and unique subtype of IIM. The clinical features of anti-MDA5<sup>+</sup> DM usually include a characteristic DM rash, inflammatory muscle involvement, interstitial lung disease (ILD), and rapidly progressive ILD (RP-ILD) (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B4">4</xref>). Numerous studies worldwide have revealed obvious regional and ethnic differences in the incidence of anti-MDA5<sup>+</sup> DM, and it is mainly distributed in East Asia, especially among the Japanese and Chinese populations (<xref ref-type="bibr" rid="B5">5</xref>).The incidence of anti-MDA5<sup>+</sup> DM ranges from 10% to 20% in Japan, from 17.6% to 22.6% in China, and from 7% to 13% in the United States (<xref ref-type="bibr" rid="B6">6</xref>&#x2013;<xref ref-type="bibr" rid="B9">9</xref>). The cumulative 100-month survival rate of patients with anti-MDA5<sup>+</sup> DM is 66%, and fatal outcomes occur very frequently within the first 6 months of diagnosis (<xref ref-type="bibr" rid="B10">10</xref>).</p>
<p>ILD is the most common and severe pulmonary manifestation of IIM patients, and the incidence of ILD in patients with IIM ranges from 5% to 80% (<xref ref-type="bibr" rid="B11">11</xref>). Patients with anti-MDA5<sup>+</sup> DM are prone to the development of ILD with a probability of 50% to 100%. A previous cohort study showed that the 6-month mortality rate of patients with anti-MDA5<sup>+</sup> DM was relatively high, ranging from 33% to 66% (<xref ref-type="bibr" rid="B12">12</xref>). Our previous study confirmed that the simultaneous presence of anti-MDA5<sup>+</sup> and RP-ILD is a risk factor for a poor prognosis in patients with DM (<xref ref-type="bibr" rid="B13">13</xref>). Another study also showed that among patients with anti-MDA5<sup>+</sup> DM, the mortality rate was significantly higher among those with than without RP-ILD, most patients died within 6 months of developing symptoms, and the 6-month survival rate was only 41% (<xref ref-type="bibr" rid="B14">14</xref>). The primary cause of death was respiratory failure caused by RP-ILD (<xref ref-type="bibr" rid="B10">10</xref>). Despite aggressive treatment with immunosuppressants and corticosteroids, patients with concurrent anti-MDA5<sup>+</sup> DM and RP-ILD have a high 6-month mortality rate of 50% to 70% after the development of symptoms (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>). RP-ILD is an important subtype of anti-MDA5<sup>+</sup> DM with ILD, and its prevalence is higher in East Asian populations (<xref ref-type="bibr" rid="B4">4</xref>). It progresses rapidly and has no effective treatment, making it an important cause of death in patients with anti-MDA5<sup>+</sup> DM. Few studies to date have focused on the predictive effect of the clinical features of anti-MDA5<sup>+</sup> DM with RP-ILD. Therefore, the present study was performed to identify the serological markers for anti-MDA5<sup>+</sup> DM complicated with RP-ILD to assist in the achievement of a definitive diagnosis, accurate assessment of the patient&#x2019;s condition, and improvement of the prognosis for patients with anti-MDA5<sup>+</sup> DM.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="s2_1">
<title>Patients</title>
<p>This study involved 73 patients with newly diagnosed anti-MDA5<sup>+</sup> DM who were admitted to our hospital from March 2017 to December 2021. The inclusion criteria were as follows (1). The diagnosis of DM was based on the international standards established by Bohan and Peter (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>). (2) Anti-MDA5 antibody was positive in patients with anti-MDA5<sup>+</sup> DM. (3) The diagnosis of ILD was based on the results of high-resolution computed tomography of the chest, appearing as ground-glass opacity, consolidation, grid, and pulmonary interstitial lesions such as honeycomb peribronchovascular thickening or traction bronchiectasis changes (<xref ref-type="bibr" rid="B19">19</xref>&#x2013;<xref ref-type="bibr" rid="B21">21</xref>). (4) The diagnostic criteria for RP-ILD were met; namely, the imaging manifestations and lung symptoms had worsened within 3 months or the lung function had markedly worsened since the previous test (e.g., the forced vital capacity decreased by &gt;10% and the partial arterial oxygen pressure decreased by &gt;10 mmHg) (<xref ref-type="bibr" rid="B22">22</xref>). (5) Complete long-term survival data were available. The exclusion criteria were (1) ILD caused by drug, environment, or microbial infection; (2) recent diagnosis and treatment of new tumors; (3) recent development of chronic or acute infection, metabolic disease, or chronic liver and kidney disease; and (4) the presence of other autoimmune diseases. The patient selection process is shown in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>. The research process strictly followed established ethical principles. All patients or guardians provided written informed consent.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Study cohort.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-14-1209282-g001.tif"/>
</fig>
</sec>
<sec id="s2_2">
<title>Methods</title>
<p>The MDA5<sup>+</sup> DM patients were divided into a survival subgroup (n = 43) and non-survival subgroup (n = 28) as well as a non-RP-ILD subgroup (n = 52) and RP-ILD (n = 21) subgroup. The patients&#x2019; clinical data, including age, sex, blood examination findings, and high-resolution computed tomography findings, were collected. The patients&#x2019; survival status and time to death were provided by the hospital. The prognostic nutritional index (PNI) was calculated as follows: PNI = serum albumin (g/L) + 5 &#xd7; absolute peripheral blood lymphocyte count (&#xd7;10<sup>9</sup>/L).</p>
</sec>
<sec id="s2_3">
<title>Statistical analysis</title>
<p>IBM SPSS version 25.0 (IBM Corp., Armonk, NY, USA) was used for data analysis. Continuous measurement data with a normal distribution are expressed as mean &#xb1; standard deviation, and the independent sample <italic>t</italic> test was used for comparison between groups. Data with a non-normal distribution are expressed as median (interquartile range), and the Mann&#x2013;Whitney <italic>U</italic> test was used for comparison between groups. Count data are expressed as a percentage, and the <italic>x<sup>2</sup>
</italic> test was used for comparison between groups. The risk factors for RP-ILD were analyzed by binary logistic regression. GraphPad Prism 9.0 (GraphPad Software, San Diego, CA, USA) was used to draw the receiver operating characteristic (ROC) curve for exploration of the sensitivity and specificity of the white blood cell (WBC) count and lactate dehydrogenase (LDH) concentration in predicting the occurrence of MDA5+ DM with RP-ILD and obtain the optimal critical values. In order to compare the predictive performance of LDH and PNI, ROC analysis was performed. We calculated alternative cut-off point by the Youden&#x2019;s index. The cut-off point was then converted into a dichotomous variable as the point of tangency. Finally, R statistical software 4.1.3 was used to analyze and compare the mortality of patients in the two groups. A <italic>P</italic> value of &lt; 0.05 was considered statistically significant.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Comparison of laboratory parameters between survivors and non-survivors in the anti-MDA5<sup>+</sup> DM group</title>
<p>All patients in the MDA5<sup>+</sup> DM group were followed up. They were then further divided into survivor and non-survivor subgroups based on the follow-up results. During the median follow-up period of 11.0 (2.0&#x2013;20.0) months, approximately 58.90% patients survived (survival group, n = 43), 38.36% died (non-survival group, n = 28), and 2.74% were lost to follow-up. Thirteen of the 28 patients in the non-survival group had RP-ILD, and RP-ILD was correlated with mortality in patients with anti-MDA5<sup>+</sup> DM (p = 0.002). The LDH concentration was significantly higher in the non-survival group than in the survival group (p = 0.009), whereas the non-survival group had a lower albumin concentration (p = 0.001), lymphocyte count (p = 0.032), and PNI (p &lt; 0.001) than survival group. Of the 73 patients with anti-MDA5<sup>+</sup> DM included in this study, all received glucocorticoid therapy. In the survival group, 35 (81.40%) patients received pulse steroid therapy, and in the non - survival group, all received pulse steroid therapy. Both in the survival and non - survival groups used calcineurin inhibitors, 58.14% and 71.43% in each. The remaining indicators were not significantly different between the two groups, as 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>Comparison of laboratory parameters between survivors and non-survivors in the anti-MDA5<sup>+</sup> DM group.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Parameter</th>
<th valign="middle" align="left">Survivors</th>
<th valign="middle" align="left">Non-survivors</th>
<th valign="middle" align="left">
<italic>p</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Gender (male/female)</td>
<td valign="middle" align="left">14/29</td>
<td valign="middle" align="left">7/21</td>
<td valign="middle" align="left">0.495</td>
</tr>
<tr>
<td valign="top" align="left">Age (years)</td>
<td valign="middle" align="left">49.86 &#xb1; 9.86</td>
<td valign="middle" align="left">51.32 &#xb1; 14.06</td>
<td valign="middle" align="left">0.608</td>
</tr>
<tr>
<td valign="top" align="left">Course of disease (months)</td>
<td valign="middle" align="left">6.00(3.00, 30.00)</td>
<td valign="middle" align="left">2.00(1.00, 8.50)</td>
<td valign="middle" align="left">0.002**</td>
</tr>
<tr>
<td valign="top" align="left">WBC (&#xd7; 10<sup>9</sup>/L)</td>
<td valign="middle" align="left">4.83(3.58, 6.75)</td>
<td valign="middle" align="left">5.93(3.91, 7.13)</td>
<td valign="middle" align="left">0.223</td>
</tr>
<tr>
<td valign="top" align="left">Lymphocyte (&#xd7; 10<sup>9</sup>/L)</td>
<td valign="middle" align="left">1.27(0.81, 1.83)</td>
<td valign="middle" align="left">0.94(0.62, 1.24)</td>
<td valign="middle" align="left">0.032*</td>
</tr>
<tr>
<td valign="top" align="left">ESR (mm/h)</td>
<td valign="middle" align="left">32.00(17.75, 46.00)</td>
<td valign="middle" align="left">33.00(25.50, 46.50)</td>
<td valign="middle" align="left">0.367</td>
</tr>
<tr>
<td valign="top" align="left">CRP (mg/L)</td>
<td valign="middle" align="left">2.30(1.07, 8.33)</td>
<td valign="middle" align="left">4.79(2.43, 8.75)</td>
<td valign="middle" align="left">0.178</td>
</tr>
<tr>
<td valign="top" align="left">AST (U/L)</td>
<td valign="middle" align="left">47.00 (32.00, 70.54)</td>
<td valign="middle" align="left">70.54(43.05, 80.50)</td>
<td valign="middle" align="left">0.019*</td>
</tr>
<tr>
<td valign="top" align="left">ALT (U/L)</td>
<td valign="middle" align="left">42.00(23.00, 59.00)</td>
<td valign="middle" align="left">55.52(36.25,89.00)</td>
<td valign="middle" align="left">0.050</td>
</tr>
<tr>
<td valign="top" align="left">Albumin (g/L)</td>
<td valign="middle" align="left">33.05 &#xb1; 4.30</td>
<td valign="middle" align="left">29.34 &#xb1; 4.80</td>
<td valign="middle" align="left">0.001**</td>
</tr>
<tr>
<td valign="top" align="left">LDH (U/L)</td>
<td valign="middle" align="left">323.54(232.61, 354.35)</td>
<td valign="middle" align="left">359.56(302.22, 446.87)</td>
<td valign="middle" align="left">0.009**</td>
</tr>
<tr>
<td valign="top" align="left">PNI</td>
<td valign="middle" align="left">38.79 &#xb1; 4.87</td>
<td valign="middle" align="left">33.85 &#xb1; 5.34</td>
<td valign="middle" align="left">&lt; 0.001***</td>
</tr>
<tr>
<td valign="top" align="left">Anti-RO52<sup>+</sup>
</td>
<td valign="middle" align="left">28(66.70%)</td>
<td valign="middle" align="left">24(88.90%)</td>
<td valign="middle" align="left">0.074</td>
</tr>
<tr>
<td valign="top" align="left">RP-ILD</td>
<td valign="middle" align="left">7(16.3%)</td>
<td valign="middle" align="left">13(46.4%)</td>
<td valign="middle" align="left">0.006**</td>
</tr>
<tr>
<th valign="top" colspan="4" align="left">Treatment of MDA5<sup>+</sup> DM (n, %)</th>
</tr>
<tr>
<td valign="top" align="left">Glucocorticoids</td>
<td valign="middle" align="left">43(100%)</td>
<td valign="middle" align="left">28(100%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Pulse steroid therapy</td>
<td valign="middle" align="left">35(81.40%)</td>
<td valign="middle" align="left">28(100%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Calcineurin inhibitors</td>
<td valign="middle" align="left">25(58.14%)</td>
<td valign="middle" align="left">20(71.43%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Mycophenolate mofetil</td>
<td valign="middle" align="left">4(9.30%)</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Values are presented as mean &#xb1; standard deviation (SD) or median and interquartile range (IQR), Mann-Whitney U test, inter-with t test and x<sup>2</sup> test were used. * p &lt; 0.05; ** p &lt; 0.01; *** p &lt; 0.001.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<title>Comparison between the PNI and clinical manifestations in patients with anti-MDA5<sup>+</sup> DM</title>
<p>
<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref> shows the correlation between clinical manifestations and PNI in patients with anti-MDA5<sup>+</sup> DM. PNI was negatively correlated with patients with anti-MDA5<sup>+</sup> DM with oedema (P = 0.014). PNI was negatively correlated with the occurrence of RP-ILD (P &lt; 0.001), arthritis (P = 0.019) and Gottron rash (P = 0.028). However, there was no significant correlation between other clinical manifestations and PNI (<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>Comparison between the PNI and clinical manifestations in patients with anti-MDA5<sup>+</sup> DM.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">Clinical manifestations</th>
<th valign="middle" rowspan="2" colspan="2" align="center">
<italic>N (%)</italic>
</th>
<th valign="middle" colspan="2" align="center">PNI</th>
</tr>
<tr>
<th valign="top" align="left">Mean &#xb1; SD</th>
<th valign="top" align="left">
<italic>p</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Oedema</td>
<td valign="top" align="left">No</td>
<td valign="top" align="left">43(60.56)</td>
<td valign="top" align="left">38.16 &#xb1; 5.60</td>
<td valign="top" rowspan="2" align="left">0.014*</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">28(39.44)</td>
<td valign="top" align="left">34.86 &#xb1; 5.05</td>
</tr>
<tr>
<td valign="top" align="left">RP-ILD</td>
<td valign="top" align="left">No</td>
<td valign="top" align="left">50(70.42)</td>
<td valign="top" align="left">38.52 &#xb1; 5.03</td>
<td valign="top" align="left">&lt; 0.001***</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">21(29.58)</td>
<td valign="top" align="left">32.89 &#xb1; 4.90</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Myopathy</td>
<td valign="top" align="left">No</td>
<td valign="top" align="left">20(29.85)</td>
<td valign="top" align="left">39.02 &#xb1; 5.60</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">47(70.15)</td>
<td valign="top" align="left">36.17 &#xb1; 5.48</td>
<td valign="top" align="left">0.058</td>
</tr>
<tr>
<td valign="top" align="left">Fever</td>
<td valign="top" align="left">No</td>
<td valign="top" align="left">39(56.52)</td>
<td valign="top" align="left">37.92 &#xb1; 5.01</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">30(43.48)</td>
<td valign="top" align="left">34.86 &#xb1; 5.58</td>
<td valign="top" align="left">0.019*</td>
</tr>
<tr>
<td valign="top" align="left">Raynaud&#x2019;s phenomenon</td>
<td valign="top" align="left">No</td>
<td valign="top" align="left">61((88.41)</td>
<td valign="top" align="left">36.29 &#xb1; 5.33</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">8(11.59)</td>
<td valign="top" align="left">38.92 &#xb1; 6.14</td>
<td valign="top" align="left">0.201</td>
</tr>
<tr>
<td valign="top" align="left">Sunny rash</td>
<td valign="top" align="left">No</td>
<td valign="top" align="left">22(30.99)</td>
<td valign="top" align="left">36.36 &#xb1; 5.10</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">49(69.01)</td>
<td valign="top" align="left">37.08 &#xb1; 5.83</td>
<td valign="top" align="left">0.619</td>
</tr>
<tr>
<td valign="top" align="left">Heliotrope rash</td>
<td valign="top" align="left">No</td>
<td valign="top" align="left">58(81.69)</td>
<td valign="top" align="left">36.84 &#xb1; 5.27</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">13(18.31)</td>
<td valign="top" align="left">36.91 &#xb1; 7.10</td>
<td valign="top" align="left">0.968</td>
</tr>
<tr>
<td valign="top" align="left">Gottron rash</td>
<td valign="top" align="left">No</td>
<td valign="top" align="left">42(59.15)</td>
<td valign="top" align="left">38.06 &#xb1; 5.27</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">29(40.85)</td>
<td valign="top" align="left">35.11 &#xb1; 5.67</td>
<td valign="top" align="left">0.028*</td>
</tr>
<tr>
<td valign="top" align="left">Dry mouth and eyes</td>
<td valign="top" align="left">No</td>
<td valign="top" align="left">44(62.86)</td>
<td valign="top" align="left">36.20 &#xb1; 5.92</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">26(37.14)</td>
<td valign="top" align="left">38.14 &#xb1; 4.90</td>
<td valign="top" align="left">0.164</td>
</tr>
<tr>
<td valign="top" align="left">Mouth ulcers</td>
<td valign="top" align="left">No</td>
<td valign="top" align="left">58(81.69)</td>
<td valign="top" align="left">36.61 &#xb1; 5.75</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">13(18.31)</td>
<td valign="top" align="left">37.95 &#xb1; 4.86</td>
<td valign="top" align="left">0.437</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Values are presented as mean &#xb1; standard deviation (SD), inter-with t test was used. * p &lt; 0.05; *** p &lt; 0.001.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_3">
<title>Prognosis and Kaplan&#x2013;Meier survival analysis of patients with anti-MDA5<sup>+</sup> DM</title>
<p>Based on the ROC curve, the critical value of the LDH concentration and PNI was 356.15 U/L and 34.1, respectively. The LDH concentration and PNI were then transformed into binary variables with 356.15 U/L and 34.1 as their tangent points, and the binary variables were subdivided into low and high subgroups. The results revealed 49 patients in the LDH &lt; 356.15 U/L group and 22 patients in the LDH &gt; 356.15 U/L group, with fatalities occurring in both groups [13 (27.7%) patients in the LDH &lt; 356.15 U/L group and 15 (62.5%) patients in the LDH &gt; 356.15 U/L group]. According to the Kaplan&#x2013;Meier survival analysis, patients with anti-MDA5<sup>+</sup> DM who had a high LDH concentration had a lower survival rate (<italic>p</italic> = 0.01) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). In addition, the incidence of death within 1 to 5 years was significantly higher in the LDH &gt; 356.15 U/L group than in the LDH &lt; 356.15 U/L group, and the difference in patient mortality became more significant over time (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). Similarly, after converting the PNI to a binary variable with a cutoff point of 34.1 into PNI &lt; 34.1 and PNI &gt; 34.1 groups, the Kaplan&#x2013;Meier survival curves showed that survival was much higher in the PNI &gt; 34.1 group than in the PNI &lt; 34.1 group (<italic>p</italic> &lt; 0.001) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>). In addition to the LDH concentration and PNI being significantly associated with patient prognosis, the mortality rate increased along with the occurrence of RP-ILD (<italic>p =</italic> 0.002) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2C</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Kaplan&#x2013;Meier survival curves for overall survival of patients with anti-MDA5<sup>+</sup> DM, stratified by <bold>(A)</bold> Low/high LDH; <bold>(B)</bold> Low/high PNI; <bold>(C)</bold> Non-RP-ILD/with RP-ILD.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-14-1209282-g002.tif"/>
</fig>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Mortality in high LDH group and low LDH group at 1, 3, and 5 years.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">Parameter</th>
<th valign="middle" rowspan="2" align="center">
<italic>N</italic>
</th>
<th valign="middle" colspan="2" align="center">1 year</th>
<th valign="middle" colspan="2" align="center">3 years</th>
<th valign="middle" colspan="2" align="center">5 years</th>
</tr>
<tr>
<th valign="middle" align="center">
<italic>N</italic>
</th>
<th valign="middle" align="center">%</th>
<th valign="middle" align="center">
<italic>N</italic>
</th>
<th valign="middle" align="center">%</th>
<th valign="middle" align="center">
<italic>N</italic>
</th>
<th valign="middle" align="center">%</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">LDH &lt; 356.15 U/L</td>
<td valign="middle" align="center">49</td>
<td valign="middle" align="center">37</td>
<td valign="middle" align="center">24.49</td>
<td valign="middle" align="center">36</td>
<td valign="middle" align="center">26.53</td>
<td valign="middle" align="center">36</td>
<td valign="middle" align="center">26.53</td>
</tr>
<tr>
<td valign="top" align="left">LDH &#x2265; 356.15 U/L</td>
<td valign="middle" align="center">22</td>
<td valign="middle" align="center">10</td>
<td valign="middle" align="center">54.55</td>
<td valign="middle" align="center">8</td>
<td valign="middle" align="center">63.64</td>
<td valign="middle" align="center">7</td>
<td valign="middle" align="center">68.18</td>
</tr>
<tr>
<td valign="top" align="center">
<italic>P</italic>
</td>
<td valign="top" align="center"/>
<td valign="middle" colspan="2" align="center">0.028*</td>
<td valign="middle" colspan="2" align="center">0.005**</td>
<td valign="middle" colspan="2" align="center">0.004**</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>* p &lt; 0.05; ** p &lt; 0.01.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_4">
<title>Mortality of patients with anti-MDA5<sup>+</sup> DM based on Cox regression analysis</title>
<p>Of the 73 patients with anti-MDA5<sup>+</sup>DM, 20 died from exacerbation of ILD or infection during the follow-up period, 1 died from cardiovascular disease and the cause of death was unknown in 7 cases. A total of 19 patients (67.86%) died within 6 months of onset and 24 patients (85.71%) died within 1 year. To identify the independent prognostic factors, Cox proportional hazard regression analysis was applied to the clinical and laboratory data of patients with anti-MDA5<sup>+</sup> DM (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). In deviation with MDA5<sup>+</sup> DM patients, the age and sex adjusted multivariate analyses showed that the elevated LDH (HR 2.42, 95% CI: 1.02&#x2013;4.83, p = 0.039) was independent risk factors for the poor prognosis (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). Interestingly, the elevated PNI (HR, 0.27; 95% CI, 0.08 - 0.94; <italic>p</italic> = 0.039) was an independent protective factor for the prognosis (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>).</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Mortality of patients with anti-MDA5<sup>+</sup> DM based on Cox regression analysis.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">Parameter</th>
<th valign="middle" align="center">Univariable</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center">Multivariable</th>
<th valign="middle" align="center"/>
</tr>
<tr>
<th valign="middle" align="center">HR (95% <italic>CI</italic>)</th>
<th valign="middle" align="center">
<italic>p</italic>
</th>
<th valign="middle" align="center">HR (95% <italic>CI)</italic>
</th>
<th valign="middle" align="center">
<italic>p</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Gender(male/female)</td>
<td valign="top" align="center">1.26(0.54 - 2.98)</td>
<td valign="top" align="center">0.592</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Age(years)</td>
<td valign="top" align="center">1.00(0.97 - 1.04)</td>
<td valign="top" align="center">0.714</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Course of disease (months)</td>
<td valign="top" align="center">0.99(0.97 - 1.01)</td>
<td valign="top" align="center">0.277</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">WBC (&#xd7; 10<sup>9</sup>/L)</td>
<td valign="top" align="center">1.07(0.95 - 1.20)</td>
<td valign="top" align="center">0.274</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Lymphocyte (&#xd7; 10<sup>9</sup>/L)</td>
<td valign="top" align="center">0.44(0.19 - 0.99)</td>
<td valign="top" align="center">0.047*</td>
<td valign="top" align="center">1.36(0.52 - 3.60)</td>
<td valign="top" align="center">0.533</td>
</tr>
<tr>
<td valign="top" align="left">ESR (mm/h)</td>
<td valign="top" align="center">1.00(0.98 - 1.02)</td>
<td valign="top" align="center">0.770</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">CRP (mg/L)</td>
<td valign="top" align="center">0.99(0.97 - 1.02)</td>
<td valign="top" align="center">0.583</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">LDH &gt; 356.15 U/L</td>
<td valign="middle" align="center">2.49(1.18 - 5.26)</td>
<td valign="middle" align="center">0.017*</td>
<td valign="top" align="center">2.42(1.05 - 5.60)</td>
<td valign="top" align="center">0.039*</td>
</tr>
<tr>
<td valign="top" align="left">AST (U/L)</td>
<td valign="top" align="center">1.002(1.000 - 1.005)</td>
<td valign="top" align="center">0.111</td>
<td valign="top" align="center">0.997(0.992 - 1.002)</td>
<td valign="top" align="center">0.189</td>
</tr>
<tr>
<td valign="top" align="left">ALT (U/L)</td>
<td valign="top" align="center">1.008(1.001 - 1.015)</td>
<td valign="top" align="center">0.022*</td>
<td valign="top" align="center">1.01(0.99 - 1.02)</td>
<td valign="top" align="center">0.143</td>
</tr>
<tr>
<td valign="top" align="left">Albumin (g/L)</td>
<td valign="top" align="center">0.87(0.80 - 0.95)</td>
<td valign="top" align="center">0.002**</td>
<td valign="top" align="center">0.95(0.83 - 1.08)</td>
<td valign="top" align="center">0.418</td>
</tr>
<tr>
<td valign="top" align="left">PNI &gt; 34.10</td>
<td valign="middle" align="center">0.23(0.10 - 0.51)</td>
<td valign="middle" align="center">&lt; 0.001***</td>
<td valign="top" align="center">0.27(0.08 - 0.94)</td>
<td valign="top" align="center">0.039*</td>
</tr>
<tr>
<td valign="top" align="left">Anti-RO52<sup>+</sup>
</td>
<td valign="middle" align="center">2.30(0.80 - 6.65)</td>
<td valign="middle" align="center">0.124</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Glucocorticoids</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Pulse steroid therapy</td>
<td valign="middle" align="center">25.93(0.25 - 2708.96)</td>
<td valign="middle" align="center">0.17</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Calcineurin inhibitors</td>
<td valign="middle" align="center">1.44(0.61 - 3.40)</td>
<td valign="middle" align="center">0.402</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Mycophenolate mofetil</td>
<td valign="middle" align="center">0.45(0 - 62.41)</td>
<td valign="middle" align="center">0.402</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Continuous variables were converted to dichotomous variables using the ROC-derived cutoffs. The value of LDH was dichotomized into high and low groups using a cut-off point of 356.15; The value of PNI was dichotomized into high and low groups using a cut-off point of 34.10. * p &lt; 0.05; ** p &lt; 0.01; *** p &lt; 0.001.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Forest plot of multivariate COX analysis of prognostic factors in patients with anti-MDA5<sup>+</sup> DM.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-14-1209282-g003.tif"/>
</fig>
</sec>
<sec id="s3_5">
<title>Comparison of laboratory parameters between non-RP-ILD and RP-ILD groups</title>
<p>Patients with MDA5<sup>+</sup> DM were divided into RP-ILD and non-RP-ILD subgroups according to the presence or absence of RP-ILD. The non-RP-ILD group comprised 52 patients (15 men and 37 women) with a mean age of 51.94 &#xb1; 10.08 years, and the RP-ILD group comprised 21 patients (7 men and 14 women) with a mean age of 45.90 &#xb1; 14.61 years. The WBC count (<italic>p</italic> = 0.007), aspartate transaminase concentration (<italic>p</italic> = 0.045), alanine transaminase concentration (<italic>p</italic> = 0.039), and LDH concentration (<italic>p</italic> = 0.019) were significantly higher in the RP-ILD group than in the non-RP-ILD group, whereas the lymphocyte count (<italic>p</italic> &lt; 0.001), albumin concentration (<italic>p</italic> = 0.005), and PNI (<italic>p</italic> &lt; 0.001) were significantly lower in the RP-ILD group than in the non-RP-ILD group. Age, sex, and other laboratory data were not significantly different between the two groups (<italic>p</italic> &gt; 0.05). Glucocorticoids were used in both non-RP-ILD and RP-ILD groups. In the non-RP-ILD group, 45(86.54%) patients received pulse steroid therapy, and in the RP-ILD group, 20(95.24%) patients received pulse steroid therapy. Both groups used calcineurin inhibitors, 61.54% and 71.43% in each. <xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref> shows the additional parameters compared between the two groups.</p>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Comparison of laboratory parameters between non-RP-ILD and RP-ILD groups.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Parameter</th>
<th valign="middle" align="left">Non-RP-ILD</th>
<th valign="middle" align="left">RP-ILD</th>
<th valign="middle" align="left">
<italic>p</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Gender (male/female)</td>
<td valign="middle" align="left">37/15</td>
<td valign="middle" align="left">14/7</td>
<td valign="middle" align="left">0.705</td>
</tr>
<tr>
<td valign="top" align="left">Age (years)</td>
<td valign="middle" align="left">51.94 &#xb1; 10.08</td>
<td valign="middle" align="left">45.90 &#xb1; 14.61</td>
<td valign="middle" align="left">0.094</td>
</tr>
<tr>
<td valign="top" align="left">Course of disease (months)</td>
<td valign="middle" align="left">6.00 (2.25, 24.00)</td>
<td valign="middle" align="left">2.00 (1.00, 14.00)</td>
<td valign="middle" align="left">0.029*</td>
</tr>
<tr>
<td valign="top" align="left">WBC (&#xd7; 10<sup>9</sup>/L)</td>
<td valign="middle" align="left">4.86 (3.61, 6.33)</td>
<td valign="middle" align="left">7.07 (3.92, 8.63)</td>
<td valign="middle" align="left">0.007**</td>
</tr>
<tr>
<td valign="top" align="left">Lymphocyte (&#xd7; 10<sup>9</sup>/L)</td>
<td valign="middle" align="left">1.27 (0.83, 1.74)</td>
<td valign="middle" align="left">0.69 (0.52, 1.14)</td>
<td valign="middle" align="left">&lt; 0.001***</td>
</tr>
<tr>
<td valign="top" align="left">ESR (mm/h)</td>
<td valign="middle" align="left">33.00 (20.75, 44.50)</td>
<td valign="middle" align="left">28.00 (19.00, 46.00)</td>
<td valign="middle" align="left">0.830</td>
</tr>
<tr>
<td valign="top" align="left">CRP (mg/L)</td>
<td valign="middle" align="left">2.88 (1.09, 8.49)</td>
<td valign="middle" align="left">4.74 (1.15, 9.60)</td>
<td valign="middle" align="left">0.485</td>
</tr>
<tr>
<td valign="top" align="left">AST (U/L)</td>
<td valign="middle" align="left">49.00 (33.25, 70.54)</td>
<td valign="middle" align="left">70.54 (42.20, 103.00)</td>
<td valign="middle" align="left">0.045*</td>
</tr>
<tr>
<td valign="top" align="left">ALT (U/L)</td>
<td valign="middle" align="left">46.00 (23.50, 55.88)</td>
<td valign="middle" align="left">55.52 (35.00, 97.00)</td>
<td valign="middle" align="left">0.039*</td>
</tr>
<tr>
<td valign="top" align="left">Albumin (g/L)</td>
<td valign="middle" align="left">32.56 &#xb1; 4.50</td>
<td valign="middle" align="left">29.10 &#xb1; 4.79</td>
<td valign="middle" align="left">0.005**</td>
</tr>
<tr>
<td valign="top" align="left">LDH (U/L)</td>
<td valign="middle" align="left">323.47 (251.95, 360.49)</td>
<td valign="middle" align="left">365.90 (311.74, 438.30)</td>
<td valign="middle" align="left">0.019*</td>
</tr>
<tr>
<td valign="top" align="left">PNI</td>
<td valign="middle" align="left">38.52 &#xb1; 5.03</td>
<td valign="middle" align="left">32.89 &#xb1; 4.90</td>
<td valign="middle" align="left">&lt; 0.001***</td>
</tr>
<tr>
<td valign="top" align="left">Anti-RO52<sup>+</sup>
</td>
<td valign="middle" align="left">37 (74.0%)</td>
<td valign="middle" align="left">17 (81.0%)</td>
<td valign="middle" align="left">0.454</td>
</tr>
<tr>
<th valign="top" colspan="4" align="left">Treatment of MDA5<sup>+</sup> DM (n, %)</th>
</tr>
<tr>
<td valign="top" align="left">Glucocorticoids</td>
<td valign="middle" align="left">52(100%)</td>
<td valign="middle" align="left">21(100%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Pulse steroid therapy</td>
<td valign="middle" align="left">45(86.54%)</td>
<td valign="middle" align="left">20(95.24%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Calcineurin inhibitors</td>
<td valign="middle" align="left">32(61.54%)</td>
<td valign="middle" align="left">15(71.43%)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Mycophenolate mofetil</td>
<td valign="middle" align="left">4(7.69%)</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Immunoglobulin</td>
<td valign="middle" align="left">11(21.15%)</td>
<td valign="middle" align="left">3(14.29%)</td>
<td valign="middle" align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Values are presented as mean &#xb1; standard deviation (SD) or median and interquartile range (IQR), Mann-Whitney U test, inter-with t test and x<sup>2</sup> test were used. * p &lt; 0.05; ** p &lt; 0.01; *** p &lt; 0.001.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_6">
<title>ROC analysis</title>
<p>In the ROC analysis, the WBC count predicted RP-ILD with an area under the curve (AUC) of 0.703 (95% CI, 0.551&#x2013;0.855; sensitivity, 61.9%; specificity, 90.4%; <italic>p</italic> = 0.007), and the cutoff value was 6.93&#xd7;10<sup>9</sup>/L. The LDH concentration predicted RP-ILD with an AUC of 0.677 (95% CI, 0.539&#x2013;0.814; sensitivity, 52.4%; specificity, 82.7%; <italic>p</italic> = 0.019), and the cutoff value was 365.62 U/L. The AUC for the WBC count combined with the LDH concentration to predict RP-ILD was 0.772 (95% CI, 0.640&#x2013;0.904; sensitivity, 66.7%; specificity, 92.3%; <italic>p</italic> &lt; 0.001), which was higher than that of either the WBC count or LDH concentration alone for RP-ILD (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>ROC curves for WBC count, LDH concentration, and WBC count combined with LDH concentration for predicting MDA5<sup>+</sup> DM combined with RP-ILD.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-14-1209282-g004.tif"/>
</fig>
</sec>
<sec id="s3_7">
<title>Binary logistic regression analysis</title>
<p>A logistic regression analysis was applied to identify independent risk factors for MDA5<sup>+</sup> DM combined with RP-ILD (<xref ref-type="table" rid="T6">
<bold>Table&#xa0;6</bold>
</xref>). In deviation with MDA5<sup>+</sup> DM patients, the age and sex adjusted multivariate analyses showed that the WBC count (OR 1.54, 95% CI: 1.12 - 2.13, <italic>p</italic> = 0.009) and elevated LDH (OR 8.68, 95% CI: 1.28 - 58.83, <italic>p</italic> = 0.027) were independent risk factors for RP-ILD (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>). Interestingly, the lymphocyte (OR, 0.11; 95% CI, 0.01 - 0.81; <italic>p</italic> = 0.03) was an independent protective factor for MDA5<sup>+</sup> DM combined with RP-ILD (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>).</p>
<table-wrap id="T6" position="float">
<label>Table&#xa0;6</label>
<caption>
<p>Logistic regression analysis of risk factors for MDA5<sup>+</sup> DM combined with RP-ILD.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">Parameter</th>
<th valign="middle" align="center">Univariable</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center">Multivariable</th>
<th valign="middle" align="center"/>
</tr>
<tr>
<th valign="middle" align="center">OR (95% <italic>CI</italic>)</th>
<th valign="middle" align="center">
<italic>p</italic>
</th>
<th valign="middle" align="center">OR (95% <italic>CI)</italic>
</th>
<th valign="middle" align="center">
<italic>p</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Gender(male/female)</td>
<td valign="top" align="center">0.81(0.27 - 2.41)</td>
<td valign="top" align="center">0.706</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Age(years)</td>
<td valign="top" align="center">0.96(0.91 - 1.00)</td>
<td valign="top" align="center">0.054</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Course of disease (months)</td>
<td valign="top" align="center">0.99(0.97 - 1.02)</td>
<td valign="top" align="center">0.739</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">WBC (&#xd7; 10<sup>9</sup>/L)</td>
<td valign="top" align="center">1.25(1.03 - 1.52)</td>
<td valign="top" align="center">0.023*</td>
<td valign="top" align="center">1.54(1.12 - 2.13)</td>
<td valign="top" align="center">0.009**</td>
</tr>
<tr>
<td valign="top" align="left">Lymphocyte (&#xd7; 10<sup>9</sup>/L)</td>
<td valign="top" align="center">0.13(0.04 - 0.50)</td>
<td valign="top" align="center">0.003**</td>
<td valign="top" align="center">0.11(0.01 - 0.81)</td>
<td valign="top" align="center">0.03*</td>
</tr>
<tr>
<td valign="top" align="left">ESR (mm/h)</td>
<td valign="top" align="center">1.00(0.96 - 1.03)</td>
<td valign="top" align="center">0.800</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">CRP (mg/L)</td>
<td valign="top" align="center">0.99(0.97 - 1.03)</td>
<td valign="top" align="center">0.872</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">LDH &gt; 356.15 U/L</td>
<td valign="middle" align="center">5.26(1.72 - 16.07)</td>
<td valign="middle" align="center">0.004**</td>
<td valign="top" align="center">8.68 (1.28 - 58.83)</td>
<td valign="top" align="center">0.027*</td>
</tr>
<tr>
<td valign="top" align="left">AST &gt; 71.27 U/L</td>
<td valign="top" align="center">3.82(1.27 - 11.47)</td>
<td valign="top" align="center">0.017*</td>
<td valign="top" align="center">1.18(0.20 - 6.83)</td>
<td valign="top" align="center">0.853</td>
</tr>
<tr>
<td valign="top" align="left">ALT &gt; 27.75 U/L</td>
<td valign="top" align="center">8.89(1.10 - 72.08)</td>
<td valign="top" align="center">0.041*</td>
<td valign="top" align="center">3.30(0.28 - 39.62)</td>
<td valign="top" align="center">0.346</td>
</tr>
<tr>
<td valign="top" align="left">Albumin &gt; 30.9 g/L</td>
<td valign="top" align="center">0.22(0.07 - 0.66)</td>
<td valign="top" align="center">0.007**</td>
<td valign="top" align="center">2.03(0.16 - 25.90)</td>
<td valign="top" align="center">0.586</td>
</tr>
<tr>
<td valign="top" align="left">PNI &gt; 34.10</td>
<td valign="middle" align="center">0.09(0.03 - 0.29)</td>
<td valign="middle" align="center">&lt; 0.001***</td>
<td valign="top" align="center">0.20(0.02 - 2.38)</td>
<td valign="top" align="center">0.205</td>
</tr>
<tr>
<td valign="top" align="left">Anti - RO52<sup>+</sup>
</td>
<td valign="middle" align="center">1.61(0.46 - 5.62)</td>
<td valign="middle" align="center">0.457</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Glucocorticoids</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Pulse steroid therapy</td>
<td valign="middle" align="center">3.11(0.36 - 26.99)</td>
<td valign="middle" align="center">0.303</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Calcineurin inhibitors</td>
<td valign="middle" align="center">1.56(0.52 - 4.69)</td>
<td valign="middle" align="center">0.426</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Mycophenolate mofetil</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="middle" align="center">&#x2013;</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Continuous variables were converted to dichotomous variables using the ROC-derived cutoffs. The value of LDH, AST, ALT, albumin and PNI was dichotomized into high and low groups using a cut-off point of 356.15 U/L, 71.27 U/L, 27.75 U/L and 30.90g/L.</p>
</fn>
<fn>
<p>* p &lt; 0.05; ** p &lt; 0.01, ***p&lt;0.001.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Risk factors of RP-ILD in patients with anti-MDA5<sup>+</sup> DM.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-14-1209282-g005.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>In recent years, numerous studies have been conducted to identify markers that can predict the diagnosis and prognosis of secondary ILD with anti-MDA5<sup>+</sup> DM in the preclinical stage. However, no ideal results have been obtained. Evidence has shown that the LDH concentration and PNI are related to the diagnosis and prognosis of various inflammatory diseases. G&#xf3;mez et&#xa0;al. (<xref ref-type="bibr" rid="B23">23</xref>) found that in patients with influenza A-associated pneumonia, the LDH concentration was higher in patients who did than did not require mechanical ventilation, suggesting that the LDH concentration is related to the severity of pneumonia. Liu et&#xa0;al. (<xref ref-type="bibr" rid="B24">24</xref>) confirmed that an increased LDH concentration was related to the increased mortality of patients with community-acquired pneumonia. Ding et&#xa0;al. (<xref ref-type="bibr" rid="B25">25</xref>) found that patients&#x2019; preoperative LDH concentration was a predictive value for postoperative pneumonia, and the incidence of postoperative pneumonia was significantly higher in patients with a preoperative LDH concentration of &gt;250 U/L. In addition, the serum LDH concentration is a commonly used inflammatory index in clinical practice. Moreover, varying degrees of the systemic inflammatory response are associated with the active period of connective tissue disease; thus, the LDH concentration can also be used to evaluate the activity of such diseases (<xref ref-type="bibr" rid="B26">26</xref>). Previous studies have proven that the PNI is associated with CTD. Some researchers have proven that the PNI is associated with the disease activity of systemic lupus erythematosus (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B28">28</xref>). According to some studies, a low PNI could increase the risk of rheumatoid arthritis complicated with severe infection (<xref ref-type="bibr" rid="B29">29</xref>), and also be used for the diagnosis and evaluation of adult-onset Still&#x2019;s disease (<xref ref-type="bibr" rid="B30">30</xref>). However, few studies have confirmed the relationship between the PNI, LDH concentration, and anti-MDA5<sup>+</sup> DM with RP-ILD. Therefore, the present study was performed as a preliminary investigation of this relationship.</p>
<p>LDH is a stable cytoplasmic enzyme that is present in all cells. Cell membrane permeability increases with cell damage or death, resulting in the release of LDH (<xref ref-type="bibr" rid="B31">31</xref>). Macrophages such as liver Kupffer cells can be activated, leading to the injury of liver and then the elevated levels of ALT and AST (<xref ref-type="bibr" rid="B3">3</xref>). In addition, in our study, AST not only predicted poor prognosis in MDA5 positive DM patients, but also predicted the occurrence of RP-ILD with predictive values of 58.35 U/L (sensitivity, 67.9%; specificity, 69.8%; 95% CI = 0.536 &#x2013; 0.795; <italic>P</italic> = 0.019) and 71.27 U/L (sensitivity, 47.6%; specificity, 82.7%; 95% CI = 0.506 &#x2013; 0.794; <italic>P</italic> = 0.046), respectively (<xref ref-type="supplementary-material" rid="SF1">
<bold>Supplementary Figures&#xa0;1</bold>
</xref>, <xref ref-type="supplementary-material" rid="SF2">
<bold>2</bold>
</xref>). Therefore, extracellular LDH may be used as an indicator of cell damage or death of various causes (<xref ref-type="bibr" rid="B32">32</xref>). In our study, the LDH concentration in patients who had anti-MDA5<sup>+</sup> DM with RP-ILD was higher than that in the control group. The LDH concentration was also found to predict RP-ILD, which is similar to the results reported by So (<xref ref-type="bibr" rid="B5">5</xref>) and Lian et&#xa0;al. (<xref ref-type="bibr" rid="B33">33</xref>). These findings suggest that the LDH concentration may be a predictive marker of the severity of ILD. In the present study, the alanine aminotransferase, aspartate aminotransferase, and LDH concentrations were significantly higher in patients with than without RP-ILD. The specific mechanism of LDH involvement in pulmonary fibrosis is still unknown, but studies have shown that LDH is a marker enzyme of macrophages, and its activity can be used as an indicator of macrophage activation (<xref ref-type="bibr" rid="B31">31</xref>). Recent studies have confirmed that activated macrophages were involved in the occurrence and development of pulmonary fibrosis in various ways, such as by causing neutrophils activation and triggering the formation of neutrophil extracellular traps, which in turn contribute to the development of ILD in patients with IIM (<xref ref-type="bibr" rid="B34">34</xref>&#x2013;<xref ref-type="bibr" rid="B36">36</xref>). Seto (<xref ref-type="bibr" rid="B36">36</xref>) found that anti-MDA5 promotes the formation of neutrophil extracellular traps, which induce epithelial cell injury and the release of inflammatory cytokines. It is also speculated that LDH may bind to macrophage receptors, activate macrophages, and produce a variety of proinflammatory cytokines, including interleukins 2, 6, 8, and 12 and TNF-&#x3b1;. These inflammatory cytokines can stimulate the activation of neutrophils, leading to the exacerbation of pulmonary fibrosis (<xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B38">38</xref>).</p>
<p>Serum LDH is a classic marker reflecting the progression of ILD (<xref ref-type="bibr" rid="B39">39</xref>). The concentration of LDH could indicate the disease activity and severity of idiopathic pulmonary fibrosis. Moreover, a high LDH concentration is always associated with severe pulmonary fibrosis and lung injury (<xref ref-type="bibr" rid="B40">40</xref>). In previous study, an LDH concentration of &gt;300 U/L was an independent predictor of RP-ILD (<xref ref-type="bibr" rid="B5">5</xref>). In the present study, however, the cutoff value of LDH for prediction of RP-ILD was 365.62 U/L, and LDH was an independent predictor of RP-ILD. Factors such as the sample size and analysis methods may be the reasons for this difference. Therefore, more studies are needed to further determine the optimal LDH threshold for predicting RP-ILD in patients with anti-MDA5<sup>+</sup> DM. Furthermore, the WBC count in the RP-ILD group was significantly higher than that in the non-RP-ILD group, and it had a predictive effect on RP-ILD. Infection has been considered one of the causes of acute exacerbation of idiopathic pulmonary fibrosis, and it is also a nonspecific inflammatory marker of infection (<xref ref-type="bibr" rid="B41">41</xref>). Our study showed that the combination of the LDH concentration and WBC count had a better predictive effect on RP-ILD than either the LDH concentration or WBC count alone.</p>
<p>The mortality rate of patients with anti-MDA5<sup>+</sup> DM in our study (39.4%) was similar to that of Japanese patients (36%&#x2013;41%) but higher than that of European patients (27.3%) (<xref ref-type="bibr" rid="B42">42</xref>). The incidence of RP-ILD is high in patients with anti-MDA5<sup>+</sup> DM, and RP-ILD is always associated with a lower survival rate (<xref ref-type="bibr" rid="B43">43</xref>). Chen et&#xa0;al. (<xref ref-type="bibr" rid="B9">9</xref>) reported that 78.9% of patients with anti-MDA5<sup>+</sup> DM developed RP-ILD. And another study showed that 85.7% of patients with MDA5<sup>+</sup> DM died of RP-ILD (<xref ref-type="bibr" rid="B44">44</xref>). Among patients with anti-MDA5<sup>+</sup> DM, the survival rate was significantly lower in those with RP-ILD than without RP-ILD, and their risk of death was increased by 9.7 times (<xref ref-type="bibr" rid="B5">5</xref>). The survival rate of patients with RP-ILD in our study was significantly lower than that of patients without RP-ILD, and RP-ILD was the most important predictor of an adverse prognosis (<italic>P</italic> = 0.002),this is similar to the results reported by Li (<xref ref-type="bibr" rid="B45">45</xref>). Moreover, patients with anti-MDA5<sup>+</sup> had the highest mortality rate (85.71%) within the first year of onset, so early and effective treatment is essential for patients with concurrent RP-ILD and anti-MDA5<sup>+</sup>. Previous studies have shown that the LDH concentration is an indicator of a poor prognosis for patients with anti-MDA5<sup>+</sup> DM (<xref ref-type="bibr" rid="B46">46</xref>), and the present study showed that the LDH concentration in the non-survival group was significantly higher than that in the survival group. LDH was an independent prognostic indicator in patients with anti-MDA5<sup>+</sup> DM, consistent with the study by Niu et&#xa0;al. (<xref ref-type="bibr" rid="B12">12</xref>). In our study, we found an association between the LDH concentration and RP-ILD, indicating that a high LDH concentration could contribute to increased mortality in patients with anti-MDA5<sup>+</sup> DM.</p>
<p>PNI was initially proposed by Onodera et&#xa0;al. (<xref ref-type="bibr" rid="B47">47</xref>) and used to predict the postoperative prognosis of gastric cancer. In addition to the prognosis of gastric cancer, the PNI is also associated with short-term postoperative complications and long-term adverse prognoses of lymphoma, lung malignant tumor, colorectal cancer, and cardiovascular disease (<xref ref-type="bibr" rid="B48">48</xref>&#x2013;<xref ref-type="bibr" rid="B51">51</xref>). In our study, PNI in the survival group was significantly higher than that in the non-survival group, and it was associated with a good prognosis of patients. Additionally, PNI in the RP-ILD group was significantly lower than that in the non-RP-ILD group. Wang et&#xa0;al. (<xref ref-type="bibr" rid="B52">52</xref>) reported that the serum albumin level and total peripheral blood lymphocyte count were closely related to the inflammatory response. Studies have shown that RNA helicase encoded by MDA5 is involved in the innate immune defense mechanism during viral infection; thus, it is considered that viral infection may play an important role in the pathogenesis of anti-MDA5<sup>+</sup> DM with RP-ILD, leading to the consumption of peripheral blood lymphocytes (<xref ref-type="bibr" rid="B53">53</xref>). In addition, studies have shown that among patients with anti-MDA5<sup>+</sup> DM, the peripheral CD4<sup>+</sup> and CD8<sup>+</sup> T-cell counts in those with RP-ILD are significantly lower than in those with chronic ILD, indicating that lymphocytes play an important role in the disease progression (<xref ref-type="bibr" rid="B54">54</xref>). Moreover, previous researchers have speculated that the activation of inflammation also lead to a decrease in the lymphocyte count, and the decreased peripheral blood lymphocyte count may be caused by migration of these cells to the lung to participate in the local immune response (<xref ref-type="bibr" rid="B55">55</xref>). Advanced malnutrition may lead to deficiencies of essential vitamins and amino acids, which will further inhibit cellular or humoral immunity; this will in turn lead to significant reductions in the number and function of B cells and T cells, resulting in a decrease in the lymphocyte count (<xref ref-type="bibr" rid="B56">56</xref>). More studies are needed to elucidate the precise role of lymphocytes in anti-MDA5<sup>+</sup> DM patients.</p>
<p>Albumin can inhibit endothelial cell apoptosis, prevent the generation of oxygen radicals, and reduce platelet aggregation; thus, it is a potential protective factor for human health (<xref ref-type="bibr" rid="B57">57</xref>). When systemic inflammation occurs, numerous inflammatory cytokines could be produced, which may inhibit the synthesis of albumin in the liver and thus reduce the albumin content; moreover, inflammation can also promote catabolism of albumin. Therefore, the exacerbation of MDA5<sup>+</sup> DM-associated ILD may be related to a decrease in albumin, weakening of albumin protection, and activation of fibroblasts (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B58">58</xref>). PNI is a comprehensive indicator of the body&#x2019;s immune function and nutritional status. As one of its significant advantages, it is readily available and can be efficiently calculated from routinely measured serum albumin and lymphocytes. In this study, the PNI had a more significant clinical effect in evaluating the prognosis of anti-MDA5<sup>+</sup> DM than did either the lymphocyte count or albumin concentration alone.</p>
<p>In this study, the detection rate of anti-Ro52 antibody in patients who had anti-MDA5<sup>+</sup> DM was 75%, but the antibody level was not related to the prognosis. The predictive value of anti-Ro52 antibody combined with anti-MDA5 on RP-ILD and the prognosis of patients with DM require further confirmation by clinic studies. The prognosis of anti-MDA5<sup>+</sup> DM with RP-ILD is not ideal, and most deaths occur in the first 6 months (<xref ref-type="bibr" rid="B59">59</xref>). Therefore, for patients with anti-MDA5<sup>+</sup>, treatment should be started before the development of respiratory symptoms or lung function damage. Immunosuppressive therapy should be administered in a timely manner, especially when serum markers such as LDH are elevated (<xref ref-type="bibr" rid="B39">39</xref>). These measures many help to significantly improve the survival of patients (<xref ref-type="bibr" rid="B60">60</xref>).</p>
<p>This study had several limitations. First, this was a retrospective study in which incomplete data collection may have led to systematic errors. Second, the sample size of this study was relatively small; future prospective, multicenter, population-based cohort studies with larger samples are needed. Third, all patients in this study were Chinese Han population, and the predictive effect on other races needs to be further validated. Fourth, although we confirmed the LDH cutoff values for prediction of RP-ILD, further studies are needed to demonstrate the dynamics of the LDH concentration during the progression of RP-ILD.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusion</title>
<p>The LDH and PNI were independent prognostic factors in patients with MDA5<sup>+</sup> DM, with LDH being associated with increased mortality and PNI with decreased mortality. This study also showed that among patients with MDA5<sup>+</sup> DM, the WBC count and LDH concentration were significantly higher in RP-ILD patients than without RP-ILD. The WBC count and LDH concentration were independent and important risk factors for RP-ILD, and they also had some predictive value; Patients with MDA5<sup>+</sup> DM can benefit from measurement of the LDH concentration and PNI, which are inexpensive and simple parameters that can be used for diagnosis as well as prediction of the extent of lung involvement and prognosis.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SF1">
<bold>Supplementary Materials</bold>
</xref>, further inquiries can be directed to the corresponding author/s.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Ethics Committee of Shandong Provincial Hospital, Shandong First Medical 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. 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>ML conducted the data collection and completed the data analysis, interpretation and writing of the manuscript. XZ conducted the data collection and completed the data analysis. BL and YZ and XL conducted the data collection. ZM and QY conceived the research plan and participated in the revision of the final manuscript. All authors were involved in reading and reviewing the manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>This work was supported by the National Natural Science Foundation of China (Youth fund project, Grant NO.82201994) and the Natural Science Foundation of Shandong Province (General Program, Grant NO. ZR2022MH016 and Youth fund project, Grant NO. ZR2021QH043).</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="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s12" 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/fimmu.2023.1209282/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fimmu.2023.1209282/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Image_1.tif" id="SF1" mimetype="image/tiff">
<label>Supplementary Figure&#xa0;1</label>
<caption>
<p>ROC curves for AST count for predicting the poor prognosis of MDA5<sup>+</sup> DM.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Image_2.tif" id="SF2" mimetype="image/tiff">
<label>Supplementary Figure&#xa0;2</label>
<caption>
<p>ROC curves for AST count for predicting MDA5<sup>+</sup> DM combined with RP-ILD.</p>
</caption>
</supplementary-material>
</sec>
<fn-group>
<title>Abbreviations</title>
<fn fn-type="abbr">
<p>95% CI, 95% confidence interval; ALT, alanine transaminase; AST, aspartate transaminase; CRP, c-reactive protein; DM, dermatomyositis; ESR, erythrocyte sedimentation rate; LDH, lactate dehydrogenase; MDA5, melanoma differentiation-associated gene 5; PNI, prognostic nutritional index; RO52, tri-partite motif-containing 21; RP-ILD, rapidly progressive interstitial lung disease; WBC, white blood cell.</p>
</fn>
</fn-group>
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