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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Med.</journal-id>
<journal-title>Frontiers in Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Med.</abbrev-journal-title>
<issn pub-type="epub">2296-858X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmed.2023.1265355</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Medicine</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Progression of radiographic fibrosis in rheumatoid arthritis-associated interstitial lung disease</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Chai</surname>
<given-names>Dandan</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
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<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/investigation/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Sun</surname>
<given-names>Di</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Yuanying</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1777424/overview"/>
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<contrib contrib-type="author">
<name>
<surname>Song</surname>
<given-names>Yawen</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2400379/overview"/>
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<contrib contrib-type="author">
<name>
<surname>Wu</surname>
<given-names>Na</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Ye</surname>
<given-names>Qiao</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<xref rid="c001" ref-type="corresp"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1778148/overview"/>
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<aff id="aff1"><sup>1</sup><institution>Clinical Center for Interstitial Lung Diseases, Beijing Institute of Respiratory Medicine, Beijing Chaoyang Hospital, Capital Medical University</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Occupational Medicine and Toxicology, Beijing Chaoyang Hospital, Capital Medical University</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001">
<p>Edited by: Ivan Castellv&#x00ED;, Hospital Universitari de la Santa Creu i Sant Pau, Spain</p></fn>
<fn fn-type="edited-by" id="fn0002">
<p>Reviewed by: Hye Sang Park, Hospital de la Santa Creu i Sant Pau, Spain; Pilar Rivera Ortega, Manchester University NHS Foundation Trust (MFT), United Kingdom</p></fn>
<corresp id="c001">&#x002A;Correspondence: Qiao Ye, <email>yeqiao_chaoyang@sina.com</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>22</day>
<month>09</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>10</volume>
<elocation-id>1265355</elocation-id>
<history>
<date date-type="received">
<day>24</day>
<month>07</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>07</day>
<month>09</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2023 Chai, Sun, Wang, Song, Wu and Ye.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Chai, Sun, Wang, Song, Wu and Ye</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 id="sec1">
<title>Background and objectives</title>
<p>Preclinical interstitial lung disease (pILD) may represent the early stages of rheumatoid arthritis-associated interstitial lung disease (RA-ILD). However, the characteristics, clinical outcomes, and risk factors associated with fibrosis progression in RA-ILD, including pILD and ILD, remain poorly understood.</p>
</sec>
<sec id="sec2">
<title>Methods</title>
<p>Baseline data were compared between patients with RA-ILD and those with RA alone. Multivariate logistic regression and Cox regression analyses were performed to identify risk factors associated with the prevalence and imaging progression of RA-ILD, respectively.</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>Among the 371 enrolled RA patients, 32.3% had RA-ILD. Multiple logistic regression analyses identified age over 60.0&#x2009;years (OR 2.22), smoking (OR 2.09), diabetes mellitus (DM) (OR 3.09), mixed connective tissue disease (MCTD) (OR 2.98), serum lactate dehydrogenase (LDH) levels exceeding 250.0&#x2009;U/L (OR 6.73), and positive anti-cyclic citrullinated peptide (anti-CCP) antibody (OR 2.06) as independent risk factors for RA-ILD (<italic>p</italic>&#x003C;&#x2009;0.05 or 0.01). Among the 98 RA-ILD patients who underwent follow-up for a median duration of 19.1&#x2009;months, 51.0% demonstrated fibrotic progression on high-resolution computed tomography (HRCT). Multiple Cox regression analysis identified DM (HR 2.03), Disease Activity Score in 28 joints-Erythrocyte Sedimentation Rate (DAS28-ESR) greater than 5.1 (HR 2.21), and baseline HRCT scores exceeding 5.0 (HR 2.30) as independent risk factors for fibrosis progression in RA-ILD (<italic>p</italic>&#x003C;&#x2009;0.05 or 0.01).</p>
</sec>
<sec id="sec4">
<title>Conclusion</title>
<p>Nearly one-third of RA patients in this cohort had prevalent pILD or ILD, and half of them demonstrated imaging progression during follow-up. DM, higher DAS28-ESR, and advanced HRCT scores were identified as independent risk factors for progressive fibrosis in RA-ILD.</p>
</sec>
</abstract>
<kwd-group>
<kwd>
<monospace>rheumatoid arthritis</monospace>
</kwd>
<kwd>
<monospace>interstitial iung preclinical</monospace>
</kwd>
<kwd>
<monospace>preclinical interstitial iung disease</monospace>
</kwd>
<kwd>
<monospace>pulmonary fibrosis</monospace>
</kwd>
<kwd>
<monospace>risk factor</monospace>
</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="32"/>
<page-count count="11"/>
<word-count count="6014"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Rheumatology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec5">
<title>Introduction</title>
<p>Rheumatoid arthritis (RA) is a systemic autoimmune disease that affects approximately 0.5 to 1.0% of the general population. The exact pathogenesis of RA is not fully understood, but it is believed to involve autoimmune and inflammatory responses, as well as environmental factors that contribute to the prevalence and progression of the disease (<xref ref-type="bibr" rid="ref1">1</xref>). The initial manifestation of RA is typically characterized by symmetric polyarticular pain and swelling. Additionally, patients often experience nonspecific systemic symptoms such as fatigue, low-grade fever, muscle aches and pains, or weight loss (<xref ref-type="bibr" rid="ref2">2</xref>). However, RA is not limited to joint involvement alone; it is a systemic inflammatory disease that can affect various organs, including the heart, lungs, skin, and eyes. The presence of extra-articular involvement in approximately 17.8&#x2013;40.9% of RA patients can significantly impact their prognosis (<xref ref-type="bibr" rid="ref2">2</xref>, <xref ref-type="bibr" rid="ref3">3</xref>).</p>
<p>Rheumatoid arthritis has the potential to substantially impact the lung parenchyma, presenting as interstitial lung disease (ILD), as an extra-articular manifestation that exhibits a heterogeneous condition characterized by diverse pathological manifestations and ultimately culminating in irreversible fibrosis; this association is linked to notable morbidity and mortality (<xref ref-type="bibr" rid="ref4">4</xref>, <xref ref-type="bibr" rid="ref5">5</xref>). The reported prevalence of RA-ILD varies widely, ranging from 1.0 to 58.0%, reflecting differences in study designs and inclusion criteria (<xref ref-type="bibr" rid="ref6">6</xref>). Advanced age, male gender, tobacco exposure, and the presence of positive rheumatoid factors (RF) or anti-cyclic citrullinated peptide (CCP) antibodies have been identified as risk factors for the development of RA-ILD (<xref ref-type="bibr" rid="ref7">7</xref>). Respiratory symptoms commonly observed in RA-ILD resemble those seen in idiopathic interstitial pneumonia (IIP) and include dyspnea, cough, chest tightness, shortness of breath, and velcro crackles at the base of both lungs (<xref ref-type="bibr" rid="ref8">8</xref>). In advanced stages, pleural friction sounds and pulmonary hypertension may also be present (<xref ref-type="bibr" rid="ref8">8</xref>). Although overall mortality rates in RA have decreased, ILD has emerged as a leading cause of death in RA patients, second only to cardiovascular complications (<xref ref-type="bibr" rid="ref9">9</xref>).</p>
<p>Preclinical ILD (pILD) refers to the incidental discovery of interstitial lung abnormalities on chest high-resolution computed tomography (HRCT) scans in individuals without a prior diagnosis of ILD (<xref ref-type="bibr" rid="ref10">10</xref>). pILD exhibits resemblances to ILD, potentially signifying its early stages, such as sharing radiological findings characteristic of early ILDs (<xref ref-type="bibr" rid="ref11">11</xref>&#x2013;<xref ref-type="bibr" rid="ref13">13</xref>). Patients with interstitial lung abnormalities can be divided into two categories: incidental interstitial lung abnormalities (ILA), which are detected during chest HRCT scans conducted for purposes such as cancer screening or general health examinations, and pILD, which is identified during screening for ILD in high-risk groups (such as those with connective tissue diseases or familial ILD) (<xref ref-type="bibr" rid="ref14">14</xref>). Based on distinct imaging features and distributions, pILD can be classified into three patterns: non-subpleural non-fibrotic, subpleural non-fibrotic, and subpleural fibrotic, with an increasing risk of progression and mortality in that order (<xref ref-type="bibr" rid="ref15">15</xref>). Fibrosis is characterized by lung distortion with traction bronchiectasis and/or honeycombing, consistent with the fibrosis criteria outlined in the latest guidelines for idiopathic pulmonary fibrosis (IPF) and progressive pulmonary fibrosis (PPF) in 2022 (<xref ref-type="bibr" rid="ref16">16</xref>).</p>
<p>However, the characteristics and clinical outcomes of RA-ILD, including pILD and ILD, remain poorly understood. The objective of this study was to investigate the prevalence, clinical features, prognosis, and risk factors associated with the imaging progression of RA-ILD, encompassing both pILD and ILD.</p>
</sec>
<sec sec-type="methods" id="sec6">
<title>Methods</title>
<sec id="sec7">
<title>Study design and participants</title>
<p>This retrospective cohort study was conducted at Beijing Chao-Yang Hospital, a regional tertiary referral center specialized in the clinical and research of ILDs. The patients aged &#x2265;18&#x2009;years hospitalized patients with RA from January 1, 2017, to December 31, 2021 were screened consecutively. The diagnosis of RA was made by rheumatologists in accordance with the 2010 American College of Rheumatology/European League Against Rheumatism criteria for RA classification (<xref ref-type="bibr" rid="ref17">17</xref>). Given the constraints of the local medical insurance policy and the personal circumstances of the patients, the hospitalized patients offer a more comprehensive set of clinical data for evaluating joint conditions and extra-articular organ involvement. Patients who had undergone clinically indicated and interpretable chest HRCT scans were included in this study. Multidisciplinary diagnoses were conducted between pulmonologists, radiologists, rheumatologists, and pathologists experienced in the diagnosis of ILD based on clinical characteristics, HRCT, and lung biopsy if appropriate. The following exclusion criteria were applied: (1) uncontrolled lung infection, (2) decompensated heart failure, (3) current or prior malignancy, and (4) absence of chest HRCT.</p>
<p>Ethical approval for this study was obtained from the Ethics Committee of Beijing Chao-Yang Hospital (2023-scientific-644). A detailed flow diagram illustrating the study&#x2019;s methodology is presented in <xref rid="fig1" ref-type="fig">Figure 1</xref>. All procedures were conducted in accordance with the principles outlined in the Declaration of Helsinki.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Flowchart of the study. RA, rheumatoid arthritis; HRCT, high-resolution computed tomography; ILD, interstitial lung disease; pILD, preclinical interstitial lung disease.</p>
</caption>
<graphic xlink:href="fmed-10-1265355-g001.tif"/>
</fig>
</sec>
<sec id="sec8">
<title>Data collection</title>
<p>All patient information was extracted from medical records, encompassing demographic details, HRCT imaging results, pulmonary function tests, laboratory data, and therapy regimens. Disease activity was evaluated using the Disease Activity Score in 28 joints-Erythrocyte Sedimentation Rate (DAS28-ESR). Inflammation markers derived from blood cell counts included the neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), systemic inflammatory index (SII&#x2009;=&#x2009;neutrophils&#x2009;&#x00D7;&#x2009;platelets/lymphocytes), systemic inflammatory response index (SIRI&#x2009;=&#x2009;neutrophils&#x2009;&#x00D7;&#x2009;monocytes/lymphocytes), and aggregate index of systemic inflammation (AISI&#x2009;=&#x2009;neutrophils&#x2009;&#x00D7;&#x2009;platelets&#x2009;&#x00D7;&#x2009;monocytes/lymphocytes). Seronegative RA refers to RA patients who exhibit clinical manifestations associated with RA, such as morning stiffness, joint swelling and pain, elevated C-reactive protein (CRP) and erythrocyte sedimentation rate (ESR), despite negative anti-CCP antibody and RF results.</p>
</sec>
<sec id="sec9">
<title>Imaging description and follow-up</title>
<p>Two experienced pulmonologists, blinded to the clinical data, independently reviewed the chest HRCT scans. They categorized individuals into two groups: RA alone and RA-ILD (including pILD and ILD), and visually scored the HRCT scans. Any disagreements between the observers were resolved through consultation. Each lung was divided into three zones, and a score ranging from 0 to 24 points was assigned based on the percentage of abnormal imaging findings in each lung zone. The interobserver agreement, measured using weighted kappa, was found to be 0.83.</p>
<p>Patients diagnosed with RA-ILD (including pILD and ILD) were followed up in the clinics and reexamined the chest HRCT every 6&#x2013;12&#x2009;months for monitoring the abnormalities of ILD. The follow-up period ended on December 31 2021. Based on the imaging findings, the patients were categorized as either progressors or non-progressors. Progression was defined as the appearance of new imaging features and/or an increase in the extent or density of abnormal imaging compared to the initial scan (<xref ref-type="bibr" rid="ref18">18</xref>, <xref ref-type="bibr" rid="ref19">19</xref>). The outcome of the study was the imaging progression of RA-ILD. Patients who underwent a follow-up chest HRCT after the study&#x2019;s end date were not included in the analysis. Additional methodological details can be found in the <xref rid="SM1" ref-type="supplementary-material">Supplementary Appendix</xref>.</p>
</sec>
<sec id="sec10">
<title>Statistical analysis</title>
<p>Data analysis was conducted using SPSS 26.0 statistics software. Measurement data were presented as mean (standard deviation, SD) for variables with a normal distribution, while median (interquartile range, IQR) was used for variables without a normal distribution. The Mann&#x2013;Whitney <italic>U</italic> test or <italic>t</italic>-test was employed to compare continuous variables between groups, while the chi-squared test or Fisher&#x2019;s exact test was used for categorical variables. Multivariate logistic regression and Cox regression analyses were performed to identify risk factors associated with the prevalence and imaging progression of RA-ILD, respectively. A two-sided <italic>p</italic>-value &#x003C;0.05 was considered statistically significant, indicating a significant difference.</p>
</sec>
</sec>
<sec sec-type="results" id="sec11">
<title>Results</title>
<sec id="sec12">
<title>Demographics and baseline characteristics of the patients</title>
<p>Among the 371 RA patients who met the inclusion criteria, 251 (67.7%) had RA alone, while 120 (32.3%) had RA-ILD (including pILD and ILD). The median age of the entire cohort was 62.0 (IQR 54.0&#x2013;71.0) years, with 30.7% being males and 27.0% being current or ex-smokers. Patients with RA-ILD exhibited a higher proportion of individuals aged &#x003E;60.0&#x2009;years, males, smokers, and a higher prevalence of comorbid diabetes mellitus (DM) or mixed connective tissue disease (MCTD). They also presented respiratory symptoms and signs, all of which showed statistically significant differences (all <italic>p</italic>&#x003C;&#x2009;0.05). In terms of the proportion of values above the upper limit of normal, the RA-ILD group had higher levels of DAS28-ESR (defined as DAS28-ESR&#x2009;&#x003E;&#x2009;5.1) (<italic>p</italic>=&#x2009;0.04), serum ferritin (<italic>p</italic>=&#x2009;0.01), lactic dehydrogenase (LDH) (<italic>p</italic>&#x003C;&#x2009;0.01), and positive anti-CCP antibody (<italic>p</italic>=&#x2009;0.04) compared to the RA alone group. Additionally, the RA-ILD group had significantly lower values of forced vital capacity (FVC)% predicted, diffusion capacity of the lungs for carbon monoxide (DLCO)% predicted, and partial pressure of arterial oxygen (PaO2) (all <italic>p</italic>&#x003C;&#x2009;0.01) (see <xref rid="tab1" ref-type="table">Table 1</xref>). Among 120 RA-ILD (including pILD and ILD) patients, the patients with RA-ILD showed more symptoms and signs, higher HRCT scores and poorer pulmonary function (<italic>p</italic>&#x003C;&#x2009;0.01 or 0.05) (see <xref rid="SM1" ref-type="supplementary-material">Supplementary Table S1</xref>).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Demographics and baseline characteristics of RA patients.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Variables</th>
<th align="center" valign="top">All</th>
<th align="center" valign="top">RA-ILD<sup>a</sup></th>
<th align="center" valign="top">RA alone</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">
<italic>n</italic>
</td>
<td align="center" valign="top">371</td>
<td align="center" valign="top">120</td>
<td align="center" valign="top">251</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Age, years</td>
<td align="center" valign="top">62.0(54.0&#x2013;71.0)</td>
<td align="center" valign="top">67.0(60.0&#x2013;75.0)</td>
<td align="center" valign="top">60.0(52.0&#x2013;67.0)</td>
<td align="center" valign="top">
<bold>&#x003C;0.01</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">Male, <italic>n</italic> (%)</td>
<td align="center" valign="top">114(30.7)</td>
<td align="center" valign="top">46(38.3)</td>
<td align="center" valign="top">68(27.1)</td>
<td align="center" valign="top">
<bold>0.03</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">BMI, kg/m<sup>2</sup></td>
<td align="center" valign="top">24.0&#x2009;&#x00B1;&#x2009;3.8</td>
<td align="center" valign="top">24.1&#x2009;&#x00B1;&#x2009;3.6</td>
<td align="center" valign="top">23.9&#x2009;&#x00B1;&#x2009;3.9</td>
<td align="center" valign="top">0.62</td>
</tr>
<tr>
<td align="left" valign="top">Smoking status</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">
<bold>&#x003C;0.01</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">Smoker, <italic>n</italic> (%)</td>
<td align="center" valign="top">100(27.0)</td>
<td align="center" valign="top">44(36.7)</td>
<td align="center" valign="top">56(22.3)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Non-smoker, <italic>n</italic> (%)</td>
<td align="center" valign="top">271(73.0)</td>
<td align="center" valign="top">76(63.3)</td>
<td align="center" valign="top">195(77.7)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Pack years</td>
<td align="center" valign="top">23.0(15.0&#x2013;40.0)</td>
<td align="center" valign="top">30.0(15.0&#x2013;43.8)</td>
<td align="center" valign="top">20.0(15.0&#x2013;40.0)</td>
<td align="center" valign="top">0.33</td>
</tr>
<tr>
<td align="left" valign="top">Symptoms and signs, <italic>n</italic> (%)</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Dyspnea</td>
<td align="center" valign="top">49(13.2)</td>
<td align="center" valign="top">45(37.5)</td>
<td align="center" valign="top">4(1.6)</td>
<td align="center" valign="top">
<bold>&#x003C;0.01</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">Cough</td>
<td align="center" valign="top">73(19.7)</td>
<td align="center" valign="top">55(45.8)</td>
<td align="center" valign="top">18(7.2)</td>
<td align="center" valign="top">
<bold>&#x003C;0.01</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">Velcro crackles</td>
<td align="center" valign="top">46(12.4)</td>
<td align="center" valign="top">45(37.5)</td>
<td align="center" valign="top">2(0.8)</td>
<td align="center" valign="top">
<bold>&#x003C;0.01</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">Laboratory findings</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">DAS28-ESR</td>
<td align="center" valign="top">4.7&#x2009;&#x00B1;&#x2009;1.8</td>
<td align="center" valign="top">4.9&#x2009;&#x00B1;&#x2009;2.1</td>
<td align="center" valign="top">4.6&#x2009;&#x00B1;&#x2009;1.6</td>
<td align="center" valign="top">0.24</td>
</tr>
<tr>
<td align="left" valign="top">DAS28-ESR, <italic>n</italic> (%)</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">
<bold>0.04</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">&#x2264;5.1</td>
<td align="center" valign="top">220(59.3)</td>
<td align="center" valign="top">62(51.7)</td>
<td align="center" valign="top">158(62.9)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x003E;5.1</td>
<td align="center" valign="top">151(40.7)</td>
<td align="center" valign="top">58(48.3)</td>
<td align="center" valign="top">93(37.1)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">ESR, mm/h</td>
<td align="center" valign="top">27.0(15.0&#x2013;45.0)</td>
<td align="center" valign="top">26.0(15.3&#x2013;44.0)</td>
<td align="center" valign="top">28.0(15.0&#x2013;45.0)</td>
<td align="center" valign="top">0.79</td>
</tr>
<tr>
<td align="left" valign="top">ESR, <italic>n</italic> (%)</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.92</td>
</tr>
<tr>
<td align="left" valign="top">&#x2264;15&#x2009;mm/h</td>
<td align="center" valign="top">94(25.3)</td>
<td align="center" valign="top">30(25.0)</td>
<td align="center" valign="top">64(25.5)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x003E;15&#x2009;mm/h</td>
<td align="center" valign="top">277(74.7)</td>
<td align="center" valign="top">90(75.0)</td>
<td align="center" valign="top">187(74.5)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">CRP, mg/dl</td>
<td align="center" valign="top">1.2(0.5&#x2013;3.7)</td>
<td align="center" valign="top">1.1(0.5&#x2013;3.5)</td>
<td align="center" valign="top">1.2(0.5&#x2013;3.8)</td>
<td align="center" valign="top">0.80</td>
</tr>
<tr>
<td align="left" valign="top">CRP, <italic>n</italic> (%)</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.90</td>
</tr>
<tr>
<td align="left" valign="top">&#x2264;0.8 mg/dl</td>
<td align="center" valign="top">147(39.6)</td>
<td align="center" valign="top">47(39.2)</td>
<td align="center" valign="top">100(39.8)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x003E;0.8 mg/dl</td>
<td align="center" valign="top">224(60.4)</td>
<td align="center" valign="top">73(60.8)</td>
<td align="center" valign="top">151(60.2)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Ferritin, ng/ml</td>
<td align="center" valign="top">160.5(77.0&#x2013;254.2)</td>
<td align="center" valign="top">178.6(110.5&#x2013;318.2)</td>
<td align="center" valign="top">147.9(66.0&#x2013;240.1)</td>
<td align="center" valign="top">
<bold>&#x003C;0.01</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">Ferritin, <italic>n</italic> (%)</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">
<bold>&#x003C;0.01</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">&#x2264;322&#x2009;ng/ml</td>
<td align="center" valign="top">309(83.3)</td>
<td align="center" valign="top">91(75.8)</td>
<td align="center" valign="top">218(86.9)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x003E;322&#x2009;ng/ml</td>
<td align="center" valign="top">62(16.7)</td>
<td align="center" valign="top">29(24.2)</td>
<td align="center" valign="top">33(13.1)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">LDH, U/L</td>
<td align="center" valign="top">185.0(161.0&#x2013;222.0)</td>
<td align="center" valign="top">214.5(178.3&#x2013;267.0)</td>
<td align="center" valign="top">176.0(155.0&#x2013;206.0)</td>
<td align="center" valign="top">
<bold>&#x003C;0.01</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">LDH, <italic>n</italic> (%)</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">
<bold>&#x003C;0.01</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">&#x2264;250&#x2009;U/L</td>
<td align="center" valign="top">319(86.0)</td>
<td align="center" valign="top">82(68.3)</td>
<td align="center" valign="top">237(94.4)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x003E;250&#x2009;U/L</td>
<td align="center" valign="top">52(14.0)</td>
<td align="center" valign="top">38(31.7)</td>
<td align="center" valign="top">14(5.6)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">RF positivity, n (%)</td>
<td align="center" valign="top">263(70.9)</td>
<td align="center" valign="top">88(73.3)</td>
<td align="center" valign="top">175(69.7)</td>
<td align="center" valign="top">0.47</td>
</tr>
<tr>
<td align="left" valign="top">RF titer, IU/ml</td>
<td align="center" valign="top">159.0(55.1&#x2013;482.0)</td>
<td align="center" valign="top">174.0(55.5&#x2013;405.8)</td>
<td align="center" valign="top">135.0(51.8&#x2013;535.0)</td>
<td align="center" valign="top">0.70</td>
</tr>
<tr>
<td align="left" valign="top">Anti-CCP positivity, <italic>n</italic> (%)</td>
<td align="center" valign="top">278(75.7)</td>
<td align="center" valign="top">99(82.5)</td>
<td align="center" valign="top">179(72.5)</td>
<td align="center" valign="top">
<bold>0.04</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">Anti-CCP titer, IU/ml</td>
<td align="center" valign="top">768.8(212.9&#x2013;2047.7)</td>
<td align="center" valign="top">749.3(274.6&#x2013;2050.6)</td>
<td align="center" valign="top">788.0(203.8&#x2013;2046.8)</td>
<td align="center" valign="top">0.57</td>
</tr>
<tr>
<td align="left" valign="top">Seronegative RA<sup>b</sup>, <italic>n</italic> (%)</td>
<td align="center" valign="top">60(16.2)</td>
<td align="center" valign="top">11(9.2)</td>
<td align="center" valign="top">49(19.5)</td>
<td align="center" valign="top">
<bold>0.01</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">NLR</td>
<td align="center" valign="top">2.8(1.9&#x2013;4.0)</td>
<td align="center" valign="top">3.1(2.1&#x2013;4.1)</td>
<td align="center" valign="top">2.6(1.8&#x2013;3.9)</td>
<td align="center" valign="top">
<bold>0.02</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">MLR</td>
<td align="center" valign="top">0.3(0.2&#x2013;0.4)</td>
<td align="center" valign="top">0.3(0.2&#x2013;0.4)</td>
<td align="center" valign="top">0.3(0.2&#x2013;0.4)</td>
<td align="center" valign="top">0.22</td>
</tr>
<tr>
<td align="left" valign="top">PLR</td>
<td align="center" valign="top">160.4(111.9&#x2013;231.8)</td>
<td align="center" valign="top">141.4(99.0&#x2013;190.5)</td>
<td align="center" valign="top">169.9(119.3&#x2013;249.5)</td>
<td align="center" valign="top">
<bold>&#x003C;0.01</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">SII</td>
<td align="center" valign="top">711.2(422.2&#x2013;1120.9)</td>
<td align="center" valign="top">753.9(422.2&#x2013;990.6)</td>
<td align="center" valign="top">702.8(420.2&#x2013;1176.8)</td>
<td align="center" valign="top">0.89</td>
</tr>
<tr>
<td align="left" valign="top">SIRI</td>
<td align="center" valign="top">1.1(0.7&#x2013;1.9)</td>
<td align="center" valign="top">1.4(0.8&#x2013;2.4)</td>
<td align="center" valign="top">1.0(0.7&#x2013;1.8)</td>
<td align="center" valign="top">
<bold>&#x003C;0.01</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">AISI</td>
<td align="center" valign="top">310.7(143.7&#x2013;536.9)</td>
<td align="center" valign="top">346.7(148.4&#x2013;635.2)</td>
<td align="center" valign="top">296.3(141.6&#x2013;534.8)</td>
<td align="center" valign="top">0.22</td>
</tr>
<tr>
<td align="left" valign="top">Pulmonary function</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">FVC, %predicted</td>
<td align="center" valign="top">100.3&#x2009;&#x00B1;&#x2009;22.0</td>
<td align="center" valign="top">96.3&#x2009;&#x00B1;&#x2009;20.7</td>
<td align="center" valign="top">104.8&#x2009;&#x00B1;&#x2009;22.6</td>
<td align="center" valign="top">
<bold>&#x003C;0.01</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">DLCO, %predicted</td>
<td align="center" valign="top">73.5&#x2009;&#x00B1;&#x2009;18.0</td>
<td align="center" valign="top">65.8&#x2009;&#x00B1;&#x2009;15.6</td>
<td align="center" valign="top">82.7&#x2009;&#x00B1;&#x2009;16.4</td>
<td align="center" valign="top">
<bold>&#x003C;0.01</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">PaO2, mmHg (room air, at rest)</td>
<td align="center" valign="top">85.3(77.9&#x2013;94.2)</td>
<td align="center" valign="top">82.0(74.3&#x2013;90.2)</td>
<td align="center" valign="top">87.9(78.9&#x2013;97.1)</td>
<td align="center" valign="top">
<bold>&#x003C;0.01</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">Comorbidities</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">DM, <italic>n</italic> (%)</td>
<td align="center" valign="top">77(20.8)</td>
<td align="center" valign="top">41(34.2)</td>
<td align="center" valign="top">36(14.3)</td>
<td align="center" valign="top">
<bold>&#x003C;0.01</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">MCTD<sup>c</sup>, <italic>n</italic> (%)</td>
<td align="center" valign="top">68(18.3)</td>
<td align="center" valign="top">33(27.5)</td>
<td align="center" valign="top">35(13.9)</td>
<td align="center" valign="top">
<bold>&#x003C;0.01</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">COPD, <italic>n</italic> (%)</td>
<td align="center" valign="top">6(1.6)</td>
<td align="center" valign="top">3(2.5)</td>
<td align="center" valign="top">3(1.2)</td>
<td align="center" valign="top">0.39</td>
</tr>
<tr>
<td align="left" valign="top">Emphysema</td>
<td align="center" valign="top">82(22.1)</td>
<td align="center" valign="top">29(24.2)</td>
<td align="center" valign="top">53(21.1)</td>
<td align="center" valign="top">0.51</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Data were presented as mean&#x2009;&#x00B1;&#x2009;SD, median (IQR) or <italic>n</italic> (%). RA, rheumatoid arthritis; ILD, interstitial lung disease; BMI, body mass index; ESR, erythrocyte sedimentation rate; DAS28-ESR, Disease Activity Score in 28 joints-Erythrocyte Sedimentation Rate; CRP, C-reactive protein; LDH, lactic dehydrogenase; RF, rheumatoid factor; CCP, cyclic citrullinated peptide; NLR, neutrophils/lymphocytes ratio; MLR, monocytes/lymphocytes ratio; PLR, platelet/lymphocyte ratio; SII, neutrophils&#x2009;&#x00D7;&#x2009;latelets/lymphocytes; SIRI, neutrophils&#x2009;&#x00D7;&#x2009;monocytes/lymphocytes; AISI, neutrophils&#x2009;&#x00D7;&#x2009;platelets&#x2009;&#x00D7;&#x2009;monocytes/lymphocytes; FVC, forced vital capacity; DLCO, diffusing capacity of the lungs for carbon monoxide; PaO2, partial pressure of oxygen in the arterial blood; DM, diabetes mellitus; MCTD, mixed connective tissue disease; COPD, chronic obstructive pulmonary disease. <sup>a</sup>RA-ILD represented RA-pILD and RA-ILD patients. <sup>b</sup>Seronegative RA represented RA patients with both negative RF and anti-CCP. <sup>c</sup>MCTD, representing systemic autoimmune diseases other than RA, included Sj&#x00F6;gren&#x2019;s syndrome (<italic>n</italic> =&#x2009;56), systemic lupus erythematosus (<italic>n</italic> =&#x2009;4), idiopathic inflammatory myopathy (<italic>n</italic> =&#x2009;7), and systemic sclerosis (<italic>n</italic> =&#x2009;4) in this study. The bold values provided in tables mean that <italic>P</italic>-value&#x003C;0.05 or 0.01.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec13">
<title>Imaging patterns at baseline and during follow-up among RA-ILD</title>
<p>As shown in <xref rid="fig2" ref-type="fig">Figure 2</xref>, the most prevalent imaging pattern observed in RA-ILD patients was usual interstitial pneumonia (UIP) (59.6%) among the 47 patients, while in RA-pILD patients, the most common pattern was subpleural non-fibrotic (53.4%) among the 73 patients. Among the progressors, 63.6% (14/22) exhibited subpleural fibrosis in RA-pILD and 67.9% (19/28) exhibited UIP in RA-ILD, which was the most frequent imaging patterns (see <xref rid="fig2" ref-type="fig">Figure 2</xref> and <xref rid="SM1" ref-type="supplementary-material">Supplementary Table S2</xref> for details).</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>HRCT patterns at baseline and during follow-up among RA-ILD (including pILD and ILD). <bold>(A)</bold> HRCT patterns at baseline among RA-ILD; <bold>(B)</bold> HRCT patterns at baseline among RA-pILD; <bold>(C)</bold> HRCT patterns among RA-ILD during follow-up; <bold>(D)</bold> HRCT patterns among RA-pILD during follow-up.</p>
</caption>
<graphic xlink:href="fmed-10-1265355-g002.tif"/>
</fig>
</sec>
<sec id="sec14">
<title>Follow-up of RA-ILD</title>
<p>Ninety-eight RA-ILD patients were followed up for a median duration of 19.1 (11.1&#x2013;33.3) months, of whom 50 (50.1%) demonstrated fibrotic progression. As shown in <xref rid="tab2" ref-type="table">Table 2</xref>, the progressors had a higher proportion of individuals aged &#x003E;60.0&#x2009;years, smokers, patients with DM, and those experiencing dyspnea and velcro crackles. Furthermore, the progressors exhibited higher HRCT scores at both baseline and follow-up compared to the non-progressors (all <italic>p</italic>&#x003C;&#x2009;0.05). Regarding the proportion of values above the upper limit of normal, the progressors showed higher levels of DAS28-ESR, ESR, CRP, LDH, and positive anti-CCP antibody (<italic>p</italic>&#x003C;&#x2009;0.01 or 0.05) compared to the non-progressors. Additionally, the progressors had higher levels of RF, NLR, SII, SIRI, and AISI compared to the non-progressors (<italic>p</italic>=&#x2009;0.01 or <italic>p</italic>&#x003C;&#x2009;0.01).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Baseline characteristics of RA-ILD stratified by progressors and non-progressors.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Variables</th>
<th align="center" valign="top">Pat. of follow-up</th>
<th align="center" valign="top">Progressor</th>
<th align="center" valign="top">Non-progressor</th>
<th align="center" valign="top"><italic>P</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">
<italic>n</italic>
</td>
<td align="center" valign="top">98</td>
<td align="center" valign="top">50</td>
<td align="center" valign="top">48</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Age, years</td>
<td align="center" valign="top">66.0(60.0&#x2013;73.3)</td>
<td align="center" valign="top">67.0(62.0&#x2013;75.3)</td>
<td align="center" valign="top">64.0(56.8&#x2013;72.8)</td>
<td align="center" valign="top">0.07</td>
</tr>
<tr>
<td align="left" valign="top">Male, <italic>n</italic> (%)</td>
<td align="center" valign="top">34(34.7)</td>
<td align="center" valign="top">21(42.0)</td>
<td align="center" valign="top">13(27.1)</td>
<td align="center" valign="top">0.12</td>
</tr>
<tr>
<td align="left" valign="top">BMI, kg/m<sup>2</sup></td>
<td align="center" valign="top">23.9&#x2009;&#x00B1;&#x2009;3.5</td>
<td align="center" valign="top">23.2&#x2009;&#x00B1;&#x2009;3.5</td>
<td align="center" valign="top">24.6&#x2009;&#x00B1;&#x2009;3.5</td>
<td align="center" valign="top">0.06</td>
</tr>
<tr>
<td align="left" valign="top">Smoking status</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">
<bold>0.03</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">Smoker, <italic>n</italic> (%)</td>
<td align="center" valign="top">33(33.7)</td>
<td align="center" valign="top">22(44.0)</td>
<td align="center" valign="top">11(22.9)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Non-smoker, <italic>n</italic> (%)</td>
<td align="center" valign="top">65(66.3)</td>
<td align="center" valign="top">28(56.0)</td>
<td align="center" valign="top">37(77.1)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Pack years</td>
<td align="center" valign="top">30.0(14.7&#x2013;50.0)</td>
<td align="center" valign="top">40.0(18.8&#x2013;52.5)</td>
<td align="center" valign="top">20.0(10.0&#x2013;40.0)</td>
<td align="center" valign="top">0.19</td>
</tr>
<tr>
<td align="left" valign="top">Disease duration, ms</td>
<td align="center" valign="top">113.1(27.4&#x2013;190.3)</td>
<td align="center" valign="top">96.8(15.7&#x2013;191.6)</td>
<td align="center" valign="top">121.8(39.1&#x2013;197.4)</td>
<td align="center" valign="top">0.39</td>
</tr>
<tr>
<td align="left" valign="top">Follow-up time, ms</td>
<td align="center" valign="top">19.1(11.1&#x2013;33.3)</td>
<td align="center" valign="top">23.1(11.9&#x2013;38.4)</td>
<td align="center" valign="top">15.5(9.7&#x2013;31.8)</td>
<td align="center" valign="top">0.18</td>
</tr>
<tr>
<td align="left" valign="top">HRCT scores</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Baseline</td>
<td align="center" valign="top">6.5(4.0&#x2013;8.3)</td>
<td align="center" valign="top">7.5(6.0&#x2013;11.0)</td>
<td align="center" valign="top">5.0(3.0&#x2013;7.8)</td>
<td align="center" valign="top">
<bold>&#x003C;0.01</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">Follow-up</td>
<td align="center" valign="top">7.0(3.0&#x2013;11.0)</td>
<td align="center" valign="top">10.0(8.0&#x2013;14.0)</td>
<td align="center" valign="top">4.0(2.0&#x2013;6.0)</td>
<td align="center" valign="top">
<bold>&#x003C;0.01</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">Acute exacerbation</td>
<td align="center" valign="top">16(16.3)</td>
<td align="center" valign="top">11(22.0)</td>
<td align="center" valign="top">5(10.4)</td>
<td align="center" valign="top">0.12</td>
</tr>
<tr>
<td align="left" valign="top">Symptoms and signs, <italic>n</italic> (%)</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Dyspnea</td>
<td align="center" valign="top">40(40.8)</td>
<td align="center" valign="top">26(52.0)</td>
<td align="center" valign="top">14(29.2)</td>
<td align="center" valign="top">
<bold>0.02</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">Cough</td>
<td align="center" valign="top">48(49.0)</td>
<td align="center" valign="top">28(56.0)</td>
<td align="center" valign="top">20(41.7)</td>
<td align="center" valign="top">0.31</td>
</tr>
<tr>
<td align="left" valign="top">Velcro crackles</td>
<td align="center" valign="top">37(37.8)</td>
<td align="center" valign="top">24(48.0)</td>
<td align="center" valign="top">13(27.1)</td>
<td align="center" valign="top">
<bold>0.03</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">Laboratory findings</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">DAS28-ESR</td>
<td align="center" valign="top">4.7&#x2009;&#x00B1;&#x2009;1.9</td>
<td align="center" valign="top">5.7&#x2009;&#x00B1;&#x2009;1.3</td>
<td align="center" valign="top">3.6&#x2009;&#x00B1;&#x2009;1.7</td>
<td align="center" valign="top">
<bold>&#x003C;0.01</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">DAS28-ESR, <italic>n</italic> (%)</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">
<bold>&#x003C;0.01</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">&#x2264;5.1</td>
<td align="center" valign="top">51(52.0)</td>
<td align="center" valign="top">12(24.0)</td>
<td align="center" valign="top">39(81.3)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x003E;5.1</td>
<td align="center" valign="top">47(48.0)</td>
<td align="center" valign="top">38(76.0)</td>
<td align="center" valign="top">9(18.8)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">ESR, mm/h</td>
<td align="center" valign="top">24.0(12.5&#x2013;42.3)</td>
<td align="center" valign="top">32.5(20.0&#x2013;47.8)</td>
<td align="center" valign="top">20.0(7.0&#x2013;35.8)</td>
<td align="center" valign="top">
<bold>&#x003C;0.01</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">ESR, <italic>n</italic> (%)</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">
<bold>&#x003C;0.01</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">&#x2264;15&#x2009;mm/h</td>
<td align="center" valign="top">27(27.6)</td>
<td align="center" valign="top">5(10.0)</td>
<td align="center" valign="top">22(45.8)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x003E;15&#x2009;mm/h</td>
<td align="center" valign="top">71(72.4)</td>
<td align="center" valign="top">45(90.0)</td>
<td align="center" valign="top">26(54.2)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">CRP, mg/dl</td>
<td align="center" valign="top">1.0(0.5&#x2013;3.1)</td>
<td align="center" valign="top">2.4(0.9&#x2013;5.3)</td>
<td align="center" valign="top">0.6(0.3&#x2013;1.4)</td>
<td align="center" valign="top">
<bold>&#x003C;0.01</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">CRP, <italic>n</italic> (%)</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">
<bold>&#x003C;0.01</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">&#x2264;0.8&#x2009;mg/dl</td>
<td align="center" valign="top">42(42.9)</td>
<td align="center" valign="top">12(24.0)</td>
<td align="center" valign="top">30(62.5)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x003E;0.8&#x2009;mg/dl</td>
<td align="center" valign="top">56(57.1)</td>
<td align="center" valign="top">38(76.0)</td>
<td align="center" valign="top">18(37.5)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Ferritin, <italic>n</italic> (%)</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">0.90</td>
</tr>
<tr>
<td align="left" valign="top">&#x2264;322&#x2009;ng/ml</td>
<td align="center" valign="top">75(76.5)</td>
<td align="center" valign="top">38(76.0)</td>
<td align="center" valign="top">37(77.1)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x003E;322&#x2009;ng/ml</td>
<td align="center" valign="top">23(23.5)</td>
<td align="center" valign="top">12(24.0)</td>
<td align="center" valign="top">11(22.9)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">LDH, U/L</td>
<td align="center" valign="top">216.0(178.8&#x2013;275.0)</td>
<td align="center" valign="top">248.0(184.8&#x2013;290.0)</td>
<td align="center" valign="top">207.0(177.3&#x2013;234.0)</td>
<td align="center" valign="top">
<bold>0.02</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">LDH, <italic>n</italic> (%)</td>
<td/>
<td/>
<td/>
<td align="center" valign="top">
<bold>&#x003C;0.01</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">&#x2264;250&#x2009;U/L</td>
<td align="center" valign="top">65(66.3)</td>
<td align="center" valign="top">25(50.0)</td>
<td align="center" valign="top">40(83.3)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x003E;250&#x2009;U/L</td>
<td align="center" valign="top">33(33.7)</td>
<td align="center" valign="top">25(50.0)</td>
<td align="center" valign="top">8(16.7)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">RF positivity, <italic>n</italic> (%)</td>
<td align="center" valign="top">69(75.8)</td>
<td align="center" valign="top">40(80.0)</td>
<td align="center" valign="top">29(70.7)</td>
<td align="center" valign="top">0.30</td>
</tr>
<tr>
<td align="left" valign="top">RF titer, IU/ml</td>
<td align="center" valign="top">164.0(46.6&#x2013;356.0)</td>
<td align="center" valign="top">227.5(93.3&#x2013;441.0)</td>
<td align="center" valign="top">96.3(30.4&#x2013;210.5)</td>
<td align="center" valign="top">
<bold>0.01</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">Anti-CCP positivity, <italic>n</italic> (%)</td>
<td align="center" valign="top">78(79.6)</td>
<td align="center" valign="top">44(88.0)</td>
<td align="center" valign="top">34(70.8)</td>
<td align="center" valign="top">
<bold>0.04</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">Anti-CCP titer, IU/ml</td>
<td align="center" valign="top">597.1(198.6&#x2013;1278.6)</td>
<td align="center" valign="top">621.7(144.3&#x2013;1702.0)</td>
<td align="center" valign="top">438.8(267.1&#x2013;1136.7)</td>
<td align="center" valign="top">0.95</td>
</tr>
<tr>
<td align="left" valign="top">Seronegative RA<sup>a</sup>, <italic>n</italic> (%)</td>
<td align="center" valign="top">11(11.2)</td>
<td align="center" valign="top">4(8.0)</td>
<td align="center" valign="top">7(14.6)</td>
<td align="center" valign="top">0.30</td>
</tr>
<tr>
<td align="left" valign="top">NLR</td>
<td align="center" valign="top">3.3(2.2&#x2013;4.1)</td>
<td align="center" valign="top">3.5(2.5&#x2013;5.4)</td>
<td align="center" valign="top">2.7(2.0&#x2013;3.5)</td>
<td align="center" valign="top">
<bold>&#x003C;0.01</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">MLR</td>
<td align="center" valign="top">0.3(0.2&#x2013;0.4)</td>
<td align="center" valign="top">0.3(0.2&#x2013;0.5)</td>
<td align="center" valign="top">0.3(0.2&#x2013;0.4)</td>
<td align="center" valign="top">0.20</td>
</tr>
<tr>
<td align="left" valign="top">PLR</td>
<td align="center" valign="top">143.3(98.8&#x2013;204.0)</td>
<td align="center" valign="top">150.7(98.1&#x2013;254.9)</td>
<td align="center" valign="top">140.9(98.5&#x2013;171.5)</td>
<td align="center" valign="top">0.22</td>
</tr>
<tr>
<td align="left" valign="top">SII</td>
<td align="center" valign="top">736.0(408.1&#x2013;954.7)</td>
<td align="center" valign="top">805.8(551.8&#x2013;1561.3)</td>
<td align="center" valign="top">533.4(367.2&#x2013;880.8)</td>
<td align="center" valign="top">
<bold>&#x003C;0.01</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">SIRI</td>
<td align="center" valign="top">1.4(0.8&#x2013;2.4)</td>
<td align="center" valign="top">1.5(1.0&#x2013;3.2)</td>
<td align="center" valign="top">1.2(0.7&#x2013;1.6)</td>
<td align="center" valign="top">
<bold>&#x003C;0.01</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">AISI</td>
<td align="center" valign="top">332.3(146.3&#x2013;608.2)</td>
<td align="center" valign="top">390.9(172.8&#x2013;793.5)</td>
<td align="center" valign="top">245.2(121.3&#x2013;428.7)</td>
<td align="center" valign="top">
<bold>&#x003C;0.01</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">Pulmonary function</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">FVC, %predicted</td>
<td align="center" valign="top">97.0&#x2009;&#x00B1;&#x2009;20.5</td>
<td align="center" valign="top">91.4&#x2009;&#x00B1;&#x2009;16.9</td>
<td align="center" valign="top">102.7&#x2009;&#x00B1;&#x2009;22.3</td>
<td align="center" valign="top">
<bold>0.01</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">DLCO, %predicted</td>
<td align="center" valign="top">66.1&#x2009;&#x00B1;&#x2009;15.9</td>
<td align="center" valign="top">62.0&#x2009;&#x00B1;&#x2009;14.2</td>
<td align="center" valign="top">70.1&#x2009;&#x00B1;&#x2009;16.7</td>
<td align="center" valign="top">
<bold>0.02</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">PaO2, mmHg (room air, at rest)</td>
<td align="center" valign="top">82.6(77.3&#x2013;91.4)</td>
<td align="center" valign="top">81.0(76.2&#x2013;88.1)</td>
<td align="center" valign="top">85.0(77.9&#x2013;91.8)</td>
<td align="center" valign="top">0.08</td>
</tr>
<tr>
<td align="left" valign="top">Comorbidities</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">DM, <italic>n</italic> (%)</td>
<td align="center" valign="top">34(34.7)</td>
<td align="center" valign="top">22(44.0)</td>
<td align="center" valign="top">12(25.0)</td>
<td align="center" valign="top">
<bold>0.048</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">MCTD<sup>b</sup>, <italic>n</italic> (%)</td>
<td align="center" valign="top">27(27.6)</td>
<td align="center" valign="top">14(28.0)</td>
<td align="center" valign="top">13(27.1)</td>
<td align="center" valign="top">0.92</td>
</tr>
<tr>
<td align="left" valign="top">COPD, <italic>n</italic> (%)</td>
<td align="center" valign="top">2(2.0)</td>
<td align="center" valign="top">2(4.0)</td>
<td align="center" valign="top">0</td>
<td align="center" valign="top">0.50</td>
</tr>
<tr>
<td align="left" valign="top">Emphysema</td>
<td align="center" valign="top">24(24.5)</td>
<td align="center" valign="top">17(34.0)</td>
<td align="center" valign="top">7(14.6)</td>
<td align="center" valign="top">
<bold>0.03</bold>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Data were presented as mean&#x2009;&#x00B1;&#x2009;SD, median (IQR) or <italic>n</italic> (%). BMI, body mass index; ESR, erythrocyte sedimentation rate; DAS28-ESR, Disease Activity Score in 28 joints-Erythrocyte Sedimentation Rate; CRP, C-reactive protein; LDH, lactic dehydrogenase; RF, rheumatoid factor; CCP, cyclic citrullinated peptide; NLR, neutrophils/lymphocytes ratio; MLR, monocytes/lymphocytes ratio; PLR, platelet/lymphocyte ratio; SII, neutrophils&#x2009;&#x00D7;&#x2009;latelets/lymphocytes; SIRI, neutrophils&#x2009;&#x00D7;&#x2009;monocytes/lymphocytes; AISI, neutrophils&#x2009;&#x00D7;&#x2009;platelets&#x2009;&#x00D7;&#x2009;monocytes/lymphocytes; FVC, forced vital capacity; DLCO, diffusing capacity of the lungs for carbon monoxide; PaO2, partial pressure of oxygen in the arterial blood; DM, diabetes mellitus; MCTD, mixed connective tissue disease. <sup>a</sup>Seronegative RA represented RA patients with both negative RF and anti-CCP. <sup>b</sup>MCTD, representing systemic autoimmune diseases other than RA, included Sj&#x00F6;gren&#x2019;s syndrome (<italic>n</italic> =&#x2009;56), systemic lupus erythematosus (<italic>n</italic> =&#x2009;4), idiopathic inflammatory myopathy (<italic>n</italic> =&#x2009;7), and systemic sclerosis (<italic>n</italic> =&#x2009;4) in this study. The bold values provided in tables mean that <italic>P</italic>-value&#x003C;0.05 or 0.01.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec15">
<title>Therapeutic regimens</title>
<p>In this cohort, RA patients had received at least one of the following treatments: nonsteroidal anti-inflammatory drugs (NSAIDs), glucocorticoids, conventional synthetic disease-modifying anti-rheumatoid drugs (csDMARDs), biological DMARDs (bDMARDs), and targeted synthetic DMARDs (tsDMARDs). The frequency of glucocorticoid use was higher in RA-ILD patients, while NSAIDs and csDMARDs were more frequently used in patients with RA alone (refer to <xref rid="SM1" ref-type="supplementary-material">Supplementary Table S3</xref> for details). Among the follow-ups, there was a significant difference in the frequency of csDMARDs use between the progressors and non-progressors (see <xref rid="SM1" ref-type="supplementary-material">Supplementary Table S4</xref> for more information).</p>
</sec>
<sec id="sec16">
<title>Risk factors for the prevalence and progression of RA-ILD</title>
<p>The statistically significant variables between the patients with RA-ILD or RA alone were considered for further analysis. Multiple logistic regression analysis identified age&#x2009;&#x003E;&#x2009;60.0&#x2009;years (odds ratio [OR] 2.22, <italic>p</italic>&#x003C;&#x2009;0.01), smoking (OR 2.09, <italic>p</italic>=&#x2009;0.045), DM (OR 3.09, <italic>p</italic>&#x003C;&#x2009;0.01), MCTD (OR 2.98, <italic>p</italic>&#x003C;&#x2009;0.01), LDH &#x003E;250.0&#x2009;U/L (OR 6.73, <italic>p</italic>&#x003C;&#x2009;0.01), and positive anti-CCP antibody (OR 2.06, <italic>p</italic>=&#x2009;0.03) as independent risk factors for RA-ILD (<xref rid="tab3" ref-type="table">Table 3</xref>).</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Logistic regression analysis for risk factors of the prevalence of RA-ILD.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top" colspan="2">Univariate analysis</th>
<th align="center" valign="top" colspan="2">Multivariate analysis</th>
</tr>
<tr>
<th/>
<th align="center" valign="top">OR(95%CI)</th>
<th align="center" valign="top"><italic>P</italic>-value</th>
<th align="center" valign="top">OR(95%CI)</th>
<th align="center" valign="top"><italic>P</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Age&#x2009;&#x003E;&#x2009;60.0, years</td>
<td align="center" valign="top">2.76(1.73&#x2013;4.41)</td>
<td align="center" valign="top">
<bold>&#x003C;0.01</bold>
</td>
<td align="center" valign="top">2.22(1.29&#x2013;3.80)</td>
<td align="center" valign="top">
<bold>&#x003C;0.01</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">1.67(1.06&#x2013;2.65)</td>
<td align="center" valign="top">
<bold>0.03</bold>
</td>
<td align="center" valign="top">1.04(0.48&#x2013;2.23)</td>
<td align="center" valign="top">0.93</td>
</tr>
<tr>
<td align="left" valign="top">Smoking</td>
<td align="center" valign="top">2.02(1.25&#x2013;3.24)</td>
<td align="center" valign="top">
<bold>&#x003C;0.01</bold>
</td>
<td align="center" valign="top">2.09(0.94&#x2013;4.62)</td>
<td align="center" valign="top">
<bold>0.045</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">BMI, kg/m<sup>2</sup></td>
<td align="center" valign="top">1.01(0.96&#x2013;1.07)</td>
<td align="center" valign="top">0.62</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">DM</td>
<td align="center" valign="top">2.56(1.51&#x2013;4.33)</td>
<td align="center" valign="top">
<bold>&#x003C;0.01</bold>
</td>
<td align="center" valign="top">3.09(1.70&#x2013;5.64)</td>
<td align="center" valign="top">
<bold>&#x003C;0.01</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">MCTD</td>
<td align="center" valign="top">2.34(1.37&#x2013;4.00)</td>
<td align="center" valign="top">
<bold>&#x003C;0.01</bold>
</td>
<td align="center" valign="top">2.98(1.57&#x2013;5.67)</td>
<td align="center" valign="top">
<bold>&#x003C;0.01</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">DAS28-ESR&#x2009;&#x003E;&#x2009;5.1</td>
<td align="center" valign="top">1.59(1.02&#x2013;2.47)</td>
<td align="center" valign="top">
<bold>0.04</bold>
</td>
<td align="center" valign="top">1.05(0.62&#x2013;1.78)</td>
<td align="center" valign="top">0.85</td>
</tr>
<tr>
<td align="left" valign="top">CRP&#x2009;&#x003E;&#x2009;0.8, mg/dl</td>
<td align="center" valign="top">1.03(0.66&#x2013;1.61)</td>
<td align="center" valign="top">0.90</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">ESR&#x2009;&#x003E;&#x2009;15&#x2009;mm/h</td>
<td align="center" valign="top">1.03(0.62&#x2013;1.70)</td>
<td align="center" valign="top">0.92</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Ferritin&#x003E;322, ng/ml</td>
<td align="center" valign="top">2.11(1.21&#x2013;3.67)</td>
<td align="center" valign="top">
<bold>&#x003C;0.01</bold>
</td>
<td align="center" valign="top">1.54(0.80&#x2013;2.96)</td>
<td align="center" valign="top">0.19</td>
</tr>
<tr>
<td align="left" valign="top">LDH&#x2009;&#x003E;&#x2009;250, U/L</td>
<td align="center" valign="top">7.85(4.05&#x2013;15.21)</td>
<td align="center" valign="top">
<bold>&#x003C;0.01</bold>
</td>
<td align="center" valign="top">6.73(3.26&#x2013;13.91)</td>
<td align="center" valign="top">
<bold>&#x003C;0.01</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">RF</td>
<td align="center" valign="top">1.19(0.74&#x2013;1.94)</td>
<td align="center" valign="top">0.47</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Anti-CCP antibody</td>
<td align="center" valign="top">2.14(1.22&#x2013;3.75)</td>
<td align="center" valign="top">
<bold>&#x003C;0.01</bold>
</td>
<td align="center" valign="top">2.062(1.090&#x2013;3.902)</td>
<td align="center" valign="top">
<bold>0.03</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">Hypoxemia<sup>a</sup></td>
<td align="center" valign="top">1.70(1.07-2.69)</td>
<td align="center" valign="top">
<bold>0.02</bold>
</td>
<td align="center" valign="top">1.69(0.98&#x2013;2.93)</td>
<td align="center" valign="top">0.06</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>BMI, body mass index; DM, diabetes mellitus; MCTD, mixed connective tissue disease; DAS28-ESR, disease activity score in 28 joints-Erythrocyte Sedimentation Rate; CRP, C-reactive protein; ESR, erythrocyte sedimentation rate; LDH, lactic dehydrogenase; RF, rheumatoid factor; CCP, cyclic citrullinated peptide. <sup>a</sup>Hypoxemia representing PaO2&#x2009;&#x003C;&#x2009;80&#x2009;mmHg (room air, at rest). The bold values provided in tables mean that <italic>P</italic>-value&#x003C;0.05 or 0.01.</p>
</table-wrap-foot>
</table-wrap>
<p>The median progression-free survival [PFS] time was shorter in patients with DM (PFS 29.5&#x2009;months), DAS28-ESR&#x2009;&#x003E;&#x2009;5.1 (PFS 23.3&#x2009;months), and HRCT scores&#x003E;5 (PFS 26.9&#x2009;months) (see <xref rid="fig3" ref-type="fig">Figure 3</xref>). Subgroup analysis based on csDMARDs using the log-rank test showed no significant intergroup difference (<italic>p</italic>=&#x2009;0.05) (refer to <xref rid="fig3" ref-type="fig">Figure 3</xref> for visualization). Multiple Cox regression analysis identified DM (hazard ratio [HR] 2.47, 95% confidence interval [CI] 1.35&#x2013;4.55, <italic>p</italic>&#x003C;&#x2009;0.01), DAS28-ESR&#x2009;&#x003E;&#x2009;5.1 (HR 2.32, 95% CI 1.02&#x2013;5.26, <italic>p</italic>=&#x2009;0.04), and HRCT scores&#x003E;5 at baseline (HR 3.04, 95% CI 1.45&#x2013;6.36, <italic>p</italic>&#x003C;&#x2009;0.01) as independent risk predictors for imaging progression of fibrosis in RA-ILD (including pILD and ILD) (<xref rid="tab4" ref-type="table">Table 4</xref>). The complete information about which RA disease or ILD-related variables taken into account for regression analysis were also provided (<xref rid="SM1" ref-type="supplementary-material">Supplementary Tables S5, S6</xref>).</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Progression-free survival in RA-ILD (including pILD and ILD). <bold>(A)</bold> progression-free survival according to HRCT scores at baseline with a 5 threshold (Log-rank test, <italic>p</italic>&#x003C;&#x2009;0.01); <bold>(B)</bold> progression-free survival according to DAS28-ESR at baseline with a 5.1 threshold (Log-rank test, <italic>p</italic>&#x003C;&#x2009;0.01); <bold>(C)</bold> progression-free survival according to with or without DM at baseline (Log-rank test, <italic>p</italic>=&#x2009;0.01); <bold>(D)</bold> progression-free survival according to with or without use of csDMARDs at baseline (Log-rank test, <italic>p</italic>=&#x2009;0.05).</p>
</caption>
<graphic xlink:href="fmed-10-1265355-g003.tif"/>
</fig>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Cox regression analysis for risk factors of the progression of RA-ILD.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top" colspan="2">Univariate analysis</th>
<th align="center" valign="top" colspan="2">Multivariate analysis</th>
</tr>
<tr>
<th/>
<th align="center" valign="top">OR(95%CI)</th>
<th align="center" valign="top"><italic>P</italic>-value</th>
<th align="center" valign="top">OR(95%CI)</th>
<th align="center" valign="top"><italic>P</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Age&#x2009;&#x003E;&#x2009;60, years</td>
<td align="center" valign="top">1.46(0.71&#x2013;3.03)</td>
<td align="center" valign="top">0.31</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">1.39(0.78&#x2013;2.46)</td>
<td align="center" valign="top">0.26</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Smoking</td>
<td align="center" valign="top">1.38(0.77&#x2013;2.46)</td>
<td align="center" valign="top">0.28</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">BMI, kg/m<sup>2</sup></td>
<td align="center" valign="top">1.20(0.42&#x2013;3.44)</td>
<td align="center" valign="top">0.73</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">DM</td>
<td align="center" valign="top">2.18(1.21&#x2013;3.93)</td>
<td align="center" valign="top">
<bold>0.01</bold>
</td>
<td align="center" valign="top">2.47(1.35&#x2013;4.55)</td>
<td align="center" valign="top">
<bold>&#x003C;0.01</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">MCTD</td>
<td align="center" valign="top">1.39(0.73&#x2013;2.63)</td>
<td align="center" valign="top">0.31</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">DAS28-ESR&#x2009;&#x003E;&#x2009;5.1</td>
<td align="center" valign="top">3.76(1.92&#x2013;7.39)</td>
<td align="center" valign="top">
<bold>&#x003C;0.01</bold>
</td>
<td align="center" valign="top">2.32(1.02&#x2013;5.26)</td>
<td align="center" valign="top">
<bold>0.04</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">CRP&#x2009;&#x003E;&#x2009;0.8, mg/dl</td>
<td align="center" valign="top">2.09(1.08&#x2013;4.02)</td>
<td align="center" valign="top">
<bold>0.03</bold>
</td>
<td align="center" valign="top">1.03(0.49&#x2013;2.18)</td>
<td align="center" valign="top">0.94</td>
</tr>
<tr>
<td align="left" valign="top">ESR&#x2009;&#x003E;&#x2009;15&#x2009;mm/h</td>
<td align="center" valign="top">2.68(1.05&#x2013;6.83)</td>
<td align="center" valign="top">
<bold>0.04</bold>
</td>
<td align="center" valign="top">1.64(0.57&#x2013;4.70)</td>
<td align="center" valign="top">0.36</td>
</tr>
<tr>
<td align="left" valign="top">Ferritin&#x003E;322, ng/ml</td>
<td align="center" valign="top">1.37(0.70&#x2013;2.68)</td>
<td align="center" valign="top">0.37</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">LDH&#x2009;&#x003E;&#x2009;250, U/L</td>
<td align="center" valign="top">1.44(0.81&#x2013;2.56)</td>
<td align="center" valign="top">0.21</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">RF</td>
<td align="center" valign="top">1.43(0.71&#x2013;2.89)</td>
<td align="center" valign="top">0.32</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Anti-CCP antibody</td>
<td align="center" valign="top">1.50(0.59&#x2013;3.84)</td>
<td align="center" valign="top">0.39</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Hypoxemia<sup>a</sup></td>
<td align="center" valign="top">1.78(0.99-3.18)</td>
<td align="center" valign="top">0.05</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Baseline HRCT scores&#x003E;5</td>
<td align="center" valign="top">3.15(1.57&#x2013;6.36)</td>
<td align="center" valign="top">
<bold>&#x003C;0.01</bold>
</td>
<td align="center" valign="top">3.04(1.45&#x2013;6.36)</td>
<td align="center" valign="top">
<bold>&#x003C;0.01</bold>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>BMI, body mass index; DM, diabetes mellitus; MCTD, mixed connective tissue disease; DAS28-ESR, disease activity score in 28 joints-Erythrocyte Sedimentation Rate; CRP, C-reactive protein; ESR, erythrocyte sedimentation rate; LDH, lactic dehydrogenase; RF, rheumatoid factor; CCP, cyclic citrullinated peptide. <sup>a</sup>Hypoxemia representing PaO2&#x2009;&#x003C;&#x2009;80&#x2009;mmHg (room air, at rest). The bold values provided in tables mean that <italic>P</italic>-value&#x003C;0.05 or 0.01.</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussions" id="sec17">
<title>Discussion</title>
<p>This study provides a retrospective cohort analysis of patients with RA. The prevalence of ILD in RA patients varies widely, ranging from 1.0 to 58.0% in RA-ILD and 19.0 to 57.0% in RA-pILD patients (<xref ref-type="bibr" rid="ref6">6</xref>). Previous studies reported abnormal chest HRCT findings in 15.0% of RA patients in the United States and interstitial lung changes in 22.0% of RA patients in Brazil (<xref ref-type="bibr" rid="ref10">10</xref>, <xref ref-type="bibr" rid="ref20">20</xref>). In this cohort, 32.3% of RA patients had ILD (including pILD and ILD), with 19.7% classified as pILD and 12.7% as ILD. The difference in prevalence may be attributable to factors such as inpatient selection, older age, or different classification criteria for imaging description. Older male RA-ILD patients (&#x003E;60.0&#x2009;years) were more prevalent, consistent with previous findings (<xref ref-type="bibr" rid="ref21">21</xref>, <xref ref-type="bibr" rid="ref22">22</xref>). While some patients had ILD prior to the RA diagnosis, many developed ILD as a secondary manifestation of RA. Nearly half of the RA-ILD patients, including pILD and ILD, did not exhibit respiratory symptoms or signs, with RA-pILD accounting for 83.3% of these patients. Therefore, it is recommended to perform routine chest HRCT scans in high-risk individuals (with connective tissue disease or familial ILD) to assess the presence or absence of ILD, irrespective of respiratory symptoms. Multidisciplinary discussions involving pulmonologists, rheumatologists, radiologists, and pathologists should be conducted if necessary for a comprehensive assessment (<xref ref-type="bibr" rid="ref14">14</xref>).</p>
<p>The most common imaging pattern observed in RA-ILD patients was UIP, followed by nonspecific interstitial pneumonia (NSIP) (<xref ref-type="bibr" rid="ref23">23</xref>, <xref ref-type="bibr" rid="ref24">24</xref>). However, the classification methods for pILD and ILD varied among studies, making it difficult to determine the exact proportion of each imaging pattern. HRCT currently remains the primary tool for identifying ILD in the absence of alternative biomarkers.</p>
<p>In this cohort, 51.0% of RA-ILD patients (including pILD and ILD) showed disease progression during a median follow-up period of 23.0&#x2009;months. Among the RA-pILD patients, 23.0% were subsequently diagnosed with ILD, suggesting the importance of screening individuals with RA-pILD for RA-ILD in the future. Notably, RA-pILD patients who exhibited imaging regression (7 patients) showed improvement, with some transitioning to RA alone. Presence of DM, DAS28-ESR&#x2009;&#x003E;&#x2009;5.1, and baseline HRCT scores&#x003E;5.0 were associated with imaging progression in RA-related pILD and ILD. Previous studies have also indicated that male gender, higher DAS28-ESR levels, HRCT-documented UIP-like fibrotic patterns, and higher baseline HRCT scores were risk factors for poor prognosis in RA-ILD (<xref ref-type="bibr" rid="ref25">25</xref>, <xref ref-type="bibr" rid="ref26">26</xref>). Disease activity, as measured by DAS28-ESR, was strongly correlated with prognosis, with higher levels associated with increased risk of death (<xref ref-type="bibr" rid="ref27">27</xref>). Identifying risk factors for imaging progression in RA related pILD and ILD could help identify patients with poor prognosis.</p>
<p>RA-ILD patients, including pILD and ILD, exhibited lower FVC% predicted and DLCO% predicted values compared to RA patients without ILD (<xref ref-type="bibr" rid="ref26">26</xref>, <xref ref-type="bibr" rid="ref28">28</xref>&#x2013;<xref ref-type="bibr" rid="ref30">30</xref>). These findings suggest the presence of restrictive ventilatory dysfunction and decreased gas exchange capacity. Decline in FVC% predicted and DLCO% predicted values at baseline were independent predictors of worse survival in RA-ILD patients (<xref ref-type="bibr" rid="ref30">30</xref>). Lower DLCO% predicted was particularly associated with increased risk of death (<xref ref-type="bibr" rid="ref30">30</xref>). In this study, RA-ILD patients with progressive fibrotic CT scans showed lower FVC% predicted and DLCO% predicted values during follow-up.</p>
<p>The role of methotrexate in RA-ILD patients remains controversial. Some studies have shown that methotrexate is protective against the development of RA-ILD and delays its onset, while others have suggested that it increases the risk of ILD prevalence and progression (<xref ref-type="bibr" rid="ref31">31</xref>, <xref ref-type="bibr" rid="ref32">32</xref>). Glucocorticoids are the mainstay treatment for RA-ILD, usually initiated with oral prednisone and tapered based on clinical response (<xref ref-type="bibr" rid="ref6">6</xref>). However, glucocorticoids have been associated with increased risk of ILD prevalence and progression in RA patients (<xref ref-type="bibr" rid="ref7">7</xref>). The choice of therapeutic drugs in this study was determined independently by the treating physicians based on the patients&#x2019; conditions.</p>
<p>This study provides valuable insights into the prevalence and clinical characteristics of pILD and ILD in patients with RA. It sheds light on the changes observed in RA related pILD and ILD patients and identifies potential risk factors for fibrosis progression in RA-ILD. However, it is important for readers to be mindful of the study&#x2019;s limitations. Being a single-center study, there is a possibility of selection bias as only hospitalized individuals were included, which could have led to an overestimate of the prevalence of RA-ILD. Additionally, the retrospective design introduced some missing data and limited follow-up for certain patients, potentially introducing selection bias. The median follow-up duration of 19.1&#x2009;months was relatively short for comprehensive evaluation of survival rates, overall mortality, ILD related mortality, and associated risk factors in RA-ILD patients. To obtain more precise and reliable results, prospective registration studies with larger sample sizes are necessary.</p>
<p>In summary, this study provides valuable insights into a hospital population-based cohort of RA patients, highlighting a significant prevalence of 32.3% for RA-ILD, encompassing both pILD and ILD. The presence and progression of ILD in RA patients are closely associated with a higher proportion of respiratory symptoms and signs, as well as impaired pulmonary function. Notably, almost half of the RA-ILD patients demonstrated imaging progression during the follow-up period. Risk factors for fibrosis progression in RA-ILD include DM, elevated DAS28-ESR levels, and advanced HRCT scores. Further investigations are warranted to better elucidate the roles of methotrexate and glucocorticoids in the management of RA-ILD.</p>
</sec>
<sec sec-type="data-availability" id="sec18">
<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="sec19" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Ethics Committee of Beijing Chao-Yang Hospital. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation was not required from the participants or the participants&#x2019; legal guardians/next of kin in accordance with the national legislation and institutional requirements.</p>
</sec>
<sec id="sec20">
<title>Author contributions</title>
<p>DC: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Software, Validation, Visualization, Writing &#x2013; original draft. DS: Data curation, Formal analysis, Methodology, Writing &#x2013; review &#x0026; editing. YW: Data curation, Writing &#x2013; review &#x0026; editing. YS: Data curation, Writing &#x2013; review &#x0026; editing. NW: Writing &#x2013; review &#x0026; editing. QY: Conceptualization, Data curation, Formal analysis, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing &#x2013; review &#x0026; editing.</p>
</sec>
</body>
<back>
<sec sec-type="funding-information" id="sec21">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.</p>
</sec>
<ack>
<p>We thank all patients and investigators who were involved in this study.</p>
</ack>
<sec sec-type="COI-statement" id="sec22">
<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="sec100" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec sec-type="supplementary-material" id="sec23">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fmed.2023.1265355/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fmed.2023.1265355/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Presentation_1.pdf" id="SM1" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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<surname>Ponce-Guarneros</surname>
<given-names>M</given-names>
</name> <name>
<surname>Gamez-Nava</surname>
<given-names>JI</given-names>
</name> <name>
<surname>Olivas-Flores</surname>
<given-names>EM</given-names>
</name> <name>
<surname>Mej&#x00ED;a</surname>
<given-names>M</given-names>
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</ref>
</ref-list>
<glossary>
<def-list>
<title>Abbreviations</title>
<def-item>
<term>RA</term>
<def>
<p>rheumatoid arthritis</p>
</def>
</def-item>
<def-item>
<term>ILD</term>
<def>
<p>interstitial lung disease</p>
</def>
</def-item>
<def-item>
<term>RF</term>
<def>
<p>rheumatoid factor</p>
</def>
</def-item>
<def-item>
<term>CCP</term>
<def>
<p>cyclic citrullinated peptide</p>
</def>
</def-item>
<def-item>
<term>IIP</term>
<def>
<p>idiopathic interstitial pneumonia</p>
</def>
</def-item>
<def-item>
<term>pILD</term>
<def>
<p>preclinical interstitial lung disease</p>
</def>
</def-item>
<def-item>
<term>HRCT</term>
<def>
<p>high resolution computed tomography</p>
</def>
</def-item>
<def-item>
<term>ILA</term>
<def>
<p>interstitial lung abnormality</p>
</def>
</def-item>
<def-item>
<term>IPF</term>
<def>
<p>idiopathic pulmonary fibrosis</p>
</def>
</def-item>
<def-item>
<term>PPF</term>
<def>
<p>progressive pulmonary fibrosis</p>
</def>
</def-item>
<def-item>
<term>DAS28-ESR</term>
<def>
<p>Disease Activity Score in 28 joints-Erythrocyte Sedimentation Rate</p>
</def>
</def-item>
<def-item>
<term>NLR</term>
<def>
<p>neutrophils/lymphocytes ratio</p>
</def>
</def-item>
<def-item>
<term>MLR</term>
<def>
<p>monocytes/lymphocytes ratio</p>
</def>
</def-item>
<def-item>
<term>PLR</term>
<def>
<p>platelet/lymphocyte ratio</p>
</def>
</def-item>
<def-item>
<term>SII</term>
<def>
<p>neutrophils&#x00D7;latelets/lymphocytes</p>
</def>
</def-item>
<def-item>
<term>SIRI</term>
<def>
<p>neutrophils&#x00D7;monocytes/lymphocytes</p>
</def>
</def-item>
<def-item>
<term>AISI</term>
<def>
<p>neutrophils&#x00D7;platelets&#x00D7;monocytes/lymphocytes</p>
</def>
</def-item>
<def-item>
<term>CRP</term>
<def>
<p>C-reactive protein</p>
</def>
</def-item>
<def-item>
<term>ESR</term>
<def>
<p>erythrocyte sedimentation rate</p>
</def>
</def-item>
<def-item>
<term>SD</term>
<def>
<p>standard deviation</p>
</def>
</def-item>
<def-item>
<term>IQR</term>
<def>
<p>interquartile range</p>
</def>
</def-item>
<def-item>
<term>DM</term>
<def>
<p>diabetes mellitus</p>
</def>
</def-item>
<def-item>
<term>LDH</term>
<def>
<p>lactate dehydrogenase</p>
</def>
</def-item>
<def-item>
<term>FVC</term>
<def>
<p>forced vital capacity</p>
</def>
</def-item>
<def-item>
<term>DLCO</term>
<def>
<p>diffusion capacity of the lungs for carbon monoxide</p>
</def>
</def-item>
<def-item>
<term>PaO2</term>
<def>
<p>partial pressure of arterial oxygen</p>
</def>
</def-item>
<def-item>
<term>UIP</term>
<def>
<p>usual interstitial pneumonia</p>
</def>
</def-item>
<def-item>
<term>NSAIDs</term>
<def>
<p>nonsteroidal anti-inflammatory drugs</p>
</def>
</def-item>
<def-item>
<term>csDMARDs</term>
<def>
<p>conventional synthetic disease modifying anti-rheumatic drugs</p>
</def>
</def-item>
<def-item>
<term>bDMARDs</term>
<def>
<p>biological disease modifying anti-rheumatic drugs</p>
</def>
</def-item>
<def-item>
<term>tsDMARDs</term>
<def>
<p>targeted synthetic disease modifying anti-rheumatic drugs</p>
</def>
</def-item>
<def-item>
<term>OR</term>
<def>
<p>odds ratio</p>
</def>
</def-item>
<def-item>
<term>PFS</term>
<def>
<p>progression free survival</p>
</def>
</def-item>
<def-item>
<term>HR</term>
<def>
<p>hazard ratio</p>
</def>
</def-item>
<def-item>
<term>CI</term>
<def>
<p>confidence interval</p>
</def>
</def-item>
<def-item>
<term>NSIP</term>
<def>
<p>nonspecific interstitial pneumonia</p>
</def>
</def-item>
</def-list>
</glossary>
</back>
</article>