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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pharmacol.</journal-id>
<journal-title>Frontiers in Pharmacology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pharmacol.</abbrev-journal-title>
<issn pub-type="epub">1663-9812</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">754851</article-id>
<article-id pub-id-type="doi">10.3389/fphar.2021.754851</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pharmacology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Predictors of Mortality in Progressive Fibrosing Interstitial Lung Diseases</article-title>
<alt-title alt-title-type="left-running-head">Chen et&#x20;al.</alt-title>
<alt-title alt-title-type="right-running-head">Predictors of Mortality in PF-ILD</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Xianqiu</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1434373/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Guo</surname>
<given-names>Jian</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yu</surname>
<given-names>Dong</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Jie</surname>
<given-names>Bing</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zhou</surname>
<given-names>Ying</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/785438/overview"/>
</contrib>
</contrib-group>
<aff id="aff1">
<label>
<sup>1</sup>
</label>Department of Respiratory Medicine, Shanghai Pulmonary Hospital, Tongji University School of Medicine, <addr-line>Shanghai</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<label>
<sup>2</sup>
</label>Department of Pulmonary Function Test, Shanghai Pulmonary Hospital, Tongji University School of Medicine, <addr-line>Shanghai</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<label>
<sup>3</sup>
</label>Department of Radiology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, <addr-line>Shanghai</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<label>
<sup>4</sup>
</label>Department of Respiratory Medicine and Clinical Research Center, Shanghai Pulmonary Hospital, Tongji University School of Medicine, <addr-line>Shanghai</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/521713/overview">Jian Gao</ext-link>, Shanghai Children&#x2019;s Medical Center, China</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/595761/overview">Pierluigi Carrat&#xf9;</ext-link>, University of Bari Aldo Moro, Italy</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1479764/overview">Keith Meyer</ext-link>, University of Wisconsin-Madison, United&#x20;States</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Ying Zhou, <email>happyying79550@sina.com</email>
</corresp>
<fn fn-type="other">
<p>This article was submitted to Respiratory Pharmacology, a section of the journal Frontiers in Pharmacology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>12</day>
<month>10</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>12</volume>
<elocation-id>754851</elocation-id>
<history>
<date date-type="received">
<day>07</day>
<month>08</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>29</day>
<month>09</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2021 Chen, Guo, Yu, Jie and Zhou.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Chen, Guo, Yu, Jie and Zhou</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&#x20;terms.</p>
</license>
</permissions>
<abstract>
<p>
<bold>Background:</bold> Progressive fibrosing interstitial lung disease (PF-ILD) and idiopathic pulmonary fibrosis (IPF) share similar progression phenotype but with different pathophysiological mechanism. The purpose of this study was to assess clinical characteristics and outcomes of patients with PF-ILD in a single-center cohort.</p>
<p>
<bold>Methods:</bold> Patients with PF-ILD treated in Shanghai Pulmonary Hospital from Jan. 2013 to Dec. 2014 were retrospectively analyzed. Baseline characteristics and clinical outcomes were collected for survival analysis to identifying clinical predictors of mortality.</p>
<p>
<bold>Results:</bold> Among 608 patients with ILD, 132 patients met the diagnostic criteria for PF-ILD. In this single-center cohort, there were 51 (38.6%) cases with connective tissue disease-associated interstitial lung disease (CTD-ILD) and 45 (34.1%) with unclassifiable ILDs. During follow-up, 83 patients (62.9%) either died (<italic>N</italic>&#x20;&#x3d; 79, 59.8%) or underwent lung transplantations (<italic>N</italic>&#x20;&#x3d; 4, 3.0%) with a median duration follow-up time of 53.7&#xa0;months. Kaplan-Meier survival curves revealed that the 1, 3 and 5-years survival of PF-ILD were 90.9, 58.8 and 48.1%, respectively. In addition, the prognosis of patients with PF-ILD was similar to those with IPF, while it was worse than non-PF-ILD ones. Multivariate Cox regression analysis demonstrated that high-resolution computed tomography (HRCT) scores (HR 1.684, 95% CI 1.017&#x2013;2.788, <italic>p</italic>&#x20;&#x3d; 0.043) and systolic pulmonary artery pressure (SPAP) &#x3e; 36.5&#xa0;mmHg (HR 3.619, 95%CI 1.170&#x2013;11.194, <italic>p</italic>&#x20;&#x3d; 0.026) were independent risk factors for the mortality of PF-ILD.</p>
<p>
<bold>Conclusion:</bold> Extent of fibrotic changes on HRCT and pulmonary hypertension were predictors of mortality in patients with PF-ILD.</p>
</abstract>
<kwd-group>
<kwd>progressive fibrosing interstitial lung disease</kwd>
<kwd>predictor of mortality</kwd>
<kwd>fibrotic changes</kwd>
<kwd>high-resolution computed tomography</kwd>
<kwd>pulmonary arterial hypertension</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>Progressive fibrosing interstitial lung disease (PF-ILD) is a terminology recently used to describe a subset of patients who have inexorable progression of pulmonary fibrosis despite treatment, and the underlying pathogenetic mechanism and clinical behaviors of which are similar to those of idiopathic pulmonary fibrosis (IPF) (<xref ref-type="bibr" rid="B37">Wells et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B2">Brown et&#x20;al., 2020</xref>). The proportion of interstitial lung disease (ILD) patients with progressive fibrosing phenotype has been estimated up to 18&#x2013;32% by physicians (<xref ref-type="bibr" rid="B38">Wijsenbeek et&#x20;al., 2019</xref>). ILDs associated with a progressive fibrosing phenotype include non-specific interstitial pneumonia (NSIP) (<xref ref-type="bibr" rid="B17">Kim et&#x20;al., 2010</xref>), unclassifiable idiopathic interstitial pneumonia (IIP) (<xref ref-type="bibr" rid="B10">Guler et&#x20;al., 2018a</xref>), hypersensitivity pneumonitis (HP) (<xref ref-type="bibr" rid="B4">De Sadeleer et&#x20;al., 2019</xref>), autoimmune ILDs (<xref ref-type="bibr" rid="B5">Doyle and Dellaripa, 2017</xref>; <xref ref-type="bibr" rid="B11">Guler et&#x20;al., 2018b</xref>), sarcoidosis (<xref ref-type="bibr" rid="B36">Walsh et&#x20;al., 2014a</xref>) and occupation-associated lung disease (<xref ref-type="bibr" rid="B16">Khalil et&#x20;al., 2007</xref>). PF-ILD has a distinct clinical phenotype regardless of cause. Patients with PF-ILD suffer from worsening respiratory symptoms, declines of physiological functions, increased mortality even by conventional treatment and significantly impaired quality of life (<xref ref-type="bibr" rid="B37">Wells et&#x20;al., 2018</xref>).</p>
<p>Several factors have been identified as predictors of mortality in patients with PF-ILD. Decline in forced vital capacity (FVC) was associated with an increased risk of death in patients with PF-ILD (<xref ref-type="bibr" rid="B9">Gimenez et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B27">Olson et&#x20;al., 2018</xref>) as evidenced by studies including autoimmune ILDs (<xref ref-type="bibr" rid="B31">Solomon et&#x20;al., 2016</xref>; <xref ref-type="bibr" rid="B39">Zamora-Legoff et&#x20;al., 2017</xref>) and chronic HP (<xref ref-type="bibr" rid="B22">Mooney et&#x20;al., 2013</xref>). Usual interstitial pneumonitis (UIP) pattern on high-resolution computed tomography (HRCT) was reported to be associated with worse prognosis in autoimmune ILDs (<xref ref-type="bibr" rid="B17">Kim et&#x20;al., 2010</xref>; <xref ref-type="bibr" rid="B15">Kelly et&#x20;al., 2014</xref>). Radiological fibrosis score or extent of fibrosis on HRCT was also reported to predict outcome in chronic HP (<xref ref-type="bibr" rid="B22">Mooney et&#x20;al., 2013</xref>), pulmonary sarcoidosis (<xref ref-type="bibr" rid="B36">Walsh et&#x20;al., 2014a</xref>) and unclassifiable ILD (<xref ref-type="bibr" rid="B29">Ryerson et&#x20;al., 2013</xref>). A relevant study demonstrated that CT honeycombing uniquely identified a progressive fibrotic ILD phenotype with a high mortality similar to that of IPF (<xref ref-type="bibr" rid="B1">Adegunsoye et&#x20;al., 2019</xref>). Little data are available regarding the indicators of mortality in PF-ILD cases other than FVC and HRCT. This single-center cohort study aims to identify risk factors from demographic information, clinical features, imaging data and blood biomarkers for mortality in Chinese PF-ILD population.</p>
</sec>
<sec sec-type="methods" id="s2">
<title>Methods</title>
<p>Patients diagnosed with ILD between Jan 2013 to Dec 2014 in Shanghai Pulmonary Hospital were eligible for this study, and their electronic medical records were retrospectively reviewed. Those who met at least one of the following criteria were considered as having a progressive fibrosing phenotype, within 24&#xa0;months before screening, despite standard treatment in clinical practice: a relative decline in FVC&#x2265;10% of the predicted value; a relative decline in 5&#x20;&#x2264; FVC &#x3c;10% of the predicted value and worsening of respiratory symptoms; a relative decline in 5&#x20;&#x2264; FVC &#x3c;10% of the predicted value and increased extent of fibrosis on HRCT; worsening of respiratory symptoms and increased extent of fibrosis on HRCT (<xref ref-type="bibr" rid="B37">Wells et&#x20;al., 2018</xref>; <xref ref-type="bibr" rid="B7">Flaherty et&#x20;al., 2019</xref>).</p>
<p>Baseline characteristics of recruited patients, including age, gender, date of final diagnosis, laboratory test results, and treatment regimen were recorded. Patients with IPF or malignant tumor were excluded. Pulmonary function data were obtained, including FVC and diffusion capacity of carbon monoxide (DLCO) with % predicted values using standards (<xref ref-type="bibr" rid="B21">Miller et&#x20;al., 2005</xref>). Echocardiographic estimate of systolic pulmonary artery pressure (SPAP) at baseline was noted. HRCT scan was independently reviewed by two expert thoracic radiologists (Dong Yu and Bing Jie) who were blinded to clinical status and demographics of subjects. Any disagreement was resolved through consensus. CT scans were classified as showing a UIP pattern or not (<xref ref-type="bibr" rid="B14">Kekevian et&#x20;al., 2014</xref>) and the extent of fibrosis was further calculated using a 4-point scale as follows: 0&#x20;&#x3d; no involvement, 1&#x20;&#x3d; 1&#x2013;25% involvement, 2&#x20;&#x3d; 26&#x2013;50% involvement, 3&#x20;&#x3d; 51&#x2013;75% involvement, and 4&#x20;&#x3d; 76&#x2013;100% involvement (<xref ref-type="bibr" rid="B20">Lynch et&#x20;al., 2005</xref>). Main pulmonary artery diameter (MPAD) and ascending aorta diameter (AAD) were also assessed on HRCT, MPAD/AAD ratio was calculated to predict pulmonary arterial hypertension (PAH) (<xref ref-type="bibr" rid="B13">Jeny et&#x20;al., 2020</xref>).</p>
<p>Primary endpoints in the present study included death or lung transplantation. Survival rate was calculated based on date of the last visit, date of death, or transplantation. The last follow-up time was November 2020. Ethical approval was waived by the Ethics Committee of Shanghai Pulmonary Hospital in view of the retrospective nature of the study (No. k21-023) and all the procedures being performed were part of the routine&#x20;care.</p>
<p>Statistical analysis was performed using SPSS 26.0 package software (IBM). Continuous variables were expressed as mean&#x20;&#xb1; standard deviation (SD) or mean (range). Chi-square test was used to analyze the composition ratio between groups. Subgroup differences were compared using One-way ANOVA, followed by Tukey&#x2019;s post hoc test. Receiver Operating Characteristic (ROC) curves were depicted for identifying cut-off values. Multivariate logistics regression was performed to identify risk factors and those with <italic>p</italic>&#x20;&#x3c; 0.2 were further included in a Cox proportional hazards regression model using the forward log rank (LR) method. Kaplan-Meier survival analysis was performed, followed by Log-rank test for comparing difference between curves. <italic>p</italic>&#x20;&#x3c; 0.05 considered statistically significant.</p>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<p>Of the 608 patients with ILD seen over a 2-year period at Shanghai Pulmonary Hospital, 169 were identified as the progressive fibrosing phenotype. Thirty-seven patients were excluded, including 7 cases with lung cancer, 12 with insufficient information, and 18 lost of follow-up. Finally, 132&#xa0;PF-ILD patients and 392&#x20;non-progressive ILD (control group) were recruited (<xref ref-type="fig" rid="F1">Figure&#x20;1</xref>). The number of cases corresponding to different diagnostic criteria is shown in <xref ref-type="table" rid="T1">Table&#x20;1</xref>. Compared with non- PF-ILD group, patients in PF-ILD group were significantly older (63 vs 58&#xa0;years, <italic>p</italic>&#x20;&#x3c; 0.001), and the male-to-female proportion was higher (<italic>p</italic>&#x20;&#x3d; 0.023). Clinical characteristics of PF-ILD patients were listed in <xref ref-type="table" rid="T2">Table&#x20;2</xref>. There were 85 males and 47 females in PF-ILD group, with a median age at diagnosis of 63&#xa0;years (24&#x2013;86&#xa0;years). The median time from symptoms onset to diagnosis of ILD was 21.2&#xa0;months (0&#x2013;120&#xa0;months), and the median time from diagnosis of ILD to PF-ILD was 22.6&#xa0;months (0&#x2013;85&#xa0;months). 88/132 (66.7%) patients with PF-ILD underwent echocardiography and the mean SPAP value was (42.6&#x20;&#xb1; 11.6)&#xa0;mmHg.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Flow chart of enrollment; Abbreviation: PF-ILD, progressive fibrosing interstitial lung disease; IPF, idiopathic pulmonary fibrosis.</p>
</caption>
<graphic xlink:href="fphar-12-754851-g001.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Diagnostic criteria.</p>
</caption>
<table>
<tbody valign="top">
<tr>
<td align="left">
<bold>Diagnostic criteria</bold>
</td>
<td align="center">
<bold>No. (%)</bold>
</td>
</tr>
<tr>
<td align="left">a relative decline in FVC&#x2265;10% of the predicted value</td>
<td align="center">6 (4.5)</td>
</tr>
<tr>
<td align="left">a relative decline in 5 &#x2264; FVC &#x3c;10% of the predicted value and worsening of respiratory symptoms</td>
<td align="center">2 (1.5)</td>
</tr>
<tr>
<td align="left">a relative decline in 5 &#x2264; FVC &#x3c;10% of the predicted value and increased extent of fibrosis on HRCT</td>
<td align="center">3 (2.3)</td>
</tr>
<tr>
<td align="left">worsening of respiratory symptoms and increased extent of fibrosis on HRCT</td>
<td align="center">121 (91.7)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Abbreviations: FVC, forced vital capacity; HRCT, high-resolution computed tomography.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Baseline characteristics of patients with PF-ILD.</p>
</caption>
<table>
<tbody valign="top">
<tr>
<td align="left">
<bold>Characteristics</bold>
</td>
<td align="left">
<bold>PF-ILD (<italic>N</italic>&#x20;&#x3d; 132)</bold>
</td>
</tr>
<tr>
<td align="left">Age at diagnosis of ILD, median (range), y</td>
<td align="center">63 (24&#x2013;86)</td>
</tr>
<tr>
<td align="left">Gender</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Male/Female</td>
<td align="center">85/47</td>
</tr>
<tr>
<td align="left">&#x2003;BMI (kg&#xb7;m<sup>&#x2212;2</sup>)</td>
<td align="center">24.8&#x20;&#xb1; 3.7</td>
</tr>
<tr>
<td align="left">&#x2003;Smoking history (current/past/never)</td>
<td align="center">26/34/72</td>
</tr>
<tr>
<td align="left">Therapy after diagnosis of ILD (current/past/never)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Prednisone</td>
<td align="center">77/21/34</td>
</tr>
<tr>
<td align="left">&#x2003;Immunosuppressant</td>
<td align="center">4/3/125</td>
</tr>
<tr>
<td align="left">&#x2003;Pirfenidone</td>
<td align="center">8/2/122</td>
</tr>
<tr>
<td align="left">&#x2003;Acetylcysteine</td>
<td align="center">79/27/26</td>
</tr>
<tr>
<td align="left">&#x2003;Lung transplantation</td>
<td align="center">4 (3.0%)</td>
</tr>
<tr>
<td align="left">&#x2003;Death during follow-up</td>
<td align="center">79 (59.8%)</td>
</tr>
<tr>
<td align="left">&#x2003;Time from symptoms onset to diagnosis of ILD, median (range), month</td>
<td align="center">21.2 (0&#x2013;120)</td>
</tr>
<tr>
<td align="left">&#x2003;Time from diagnosis of ILD to PF-ILD, median (range), month</td>
<td align="center">22.6 (0&#x2013;85)</td>
</tr>
<tr>
<td align="left">&#x2003;Median duration of follow-up, median (range), month</td>
<td align="center">53.7 (1&#x2013;130)</td>
</tr>
<tr>
<td align="left">&#x2003;HRCT scores (1/2/3/4)</td>
<td align="center">19/42/43/28</td>
</tr>
<tr>
<td align="left">&#x2003;UIP pattern on HRCT</td>
<td align="center">51 (38.6%)</td>
</tr>
<tr>
<td align="left">&#x2003;MPAD/AAD</td>
<td align="center">0.91&#x20;&#xb1; 0.16</td>
</tr>
<tr>
<td align="left">Pulmonary function<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;FVC (% predicted)</td>
<td align="center">68.0&#x20;&#xb1; 19.5</td>
</tr>
<tr>
<td align="left">&#x2003;DLCO (% predicted)</td>
<td align="center">63.6&#x20;&#xb1; 19.2</td>
</tr>
<tr>
<td align="left">&#x2003;SPAP (mmHg)</td>
<td align="center">42.6&#x20;&#xb1; 11.6</td>
</tr>
<tr>
<td align="left">Arterial blood gas analysis at time of diagnosis of ILD</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;PO<sub>2</sub> (mmHg)</td>
<td align="center">78.2&#x20;&#xb1; 13.5</td>
</tr>
<tr>
<td align="left">&#x2003;SaO<sub>2</sub> (%)</td>
<td align="center">95.1&#x20;&#xb1; 4.3</td>
</tr>
<tr>
<td align="left">&#x2003;P (A-a) O<sub>2</sub> (mm Hg)</td>
<td align="center">25.7&#x20;&#xb1; 15.8</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Abbreviations: ILD, interstitial lung disease; BMI, body mass index; HRCT, high-resolution computed tomography; UIP, usual interstitial pneumonitis; MPAD, main pulmonary artery diameter; AAD, ascending aorta diameter; FVC, forced vital capacity; DLCO, diffusion capacity for carbon monoxide; SPAP, systolic pulmonary artery pressure; PaO<sub>2</sub>, oxygen partial pressure; SaO<sub>2</sub>, oxygen saturation; P(A-a) O<sub>2</sub>, differential arterial oxygen partial pressure.</p>
</fn>
<fn id="Tfn1">
<label>a</label>
<p>Not all patients had pulmonary function records.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>87/132 (65.9%) patients with PF-ILD had confirmed ILD classification, including connective tissue disease-associated interstitial lung disease (CTD-ILD), interstitial pneumonia with autoimmune features (IPAF), NSIP, combined pulmonary fibrosis and emphysema (CPFE), HP, pneumoconiosis, pulmonary alveolar proteinosis (PAP) and respiratory bronchiolitis-associated interstitial lung disease (RBILD); and the remaining 45/132 (34.1%) had unclassifiable ILDs. ILD classification of all 132 patients with PF-ILD was summarized in <xref ref-type="fig" rid="F2">Figure&#x20;2</xref>. It is showed that CTD-ILD (38.6%) was the most common subtype of PF-ILD, followed by unclassifiable ILDs (34.1%) and IPAF (8.3%). All clinical data of PF-ILD and subgroups collected and analyzed were listed in Online Resource&#x20;1.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Classifications of PF-ILD in this study; Abbreviations: PF-ILD, progressive fibrosing interstitial lung disease; CTD-ILD, connective tissue disease-associated interstitial lung disease; CPFE, combined pulmonary fibrosis and emphysema; IPAF, interstitial pneumonia with autoimmune features; PAP, pulmonary alveolar proteinosis; RBILD, respiratory bronchiolitis-associated interstitial lung disease; NSIP, nonspecific interstitial pneumonia; HP, Hypersensitivity pneumonitis. Number of cases: CTD-ILD &#x3d; 51, Unclassifiable ILD &#x3d; 45, IPAF &#x3d; 11, NSIP &#x3d; 10, CPFE &#x3d; 7, PAP &#x3d; 2, RBILD &#x3d; 2, Pneumoconiosis &#x3d; 2, HP &#x3d; 2.</p>
</caption>
<graphic xlink:href="fphar-12-754851-g002.tif"/>
</fig>
<p>Patients were followed up for a median time of 53.7&#xa0;months (1&#x2013;130&#xa0;months) after ILD diagnosis. During this time, 81/132 (61.4%) patients underwent either lung transplantations (<italic>N</italic>&#x20;&#x3d; 4, 3.0%) or died (<italic>N</italic>&#x20;&#x3d; 79, 59.8%) from disease. The median survival times were 58 and 54&#xa0;months in PF-ILD and IPF groups, respectively. Kaplan-Meier survival curves calculated that the 1, 3 and 5-years survival rates were 90.9, 58.8 and 48.1% respectively, which were similar to those in IPF group (89.4, 68.1 and 43.9%, respectively), and significantly worse than those of non- PF-ILD group (<italic>p</italic>&#x20;&#x3c; 0.001) (<xref ref-type="fig" rid="F3">Figure&#x20;3A</xref> and <xref ref-type="table" rid="T3">Table&#x20;3</xref>). In PF-ILD subgroups, the median survival times of CTD-ILD &#x2b; IPAF, unclassifiable ILD, NSIP and other ILDs groups were 108, 39, 25, 48&#xa0;months respectively. The 3 and 5-years survival rates of CTD-ILD &#x2b; IPAF patients were 67.2 and 62.3%, respectively, which were significantly higher than that of NSIP subgroup (20 and 10%, respectively) (<italic>p</italic>&#x20;&#x3d; 0.001), shown in <xref ref-type="fig" rid="F3">Figure&#x20;3B</xref> and <xref ref-type="table" rid="T3">Table&#x20;3</xref>.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Survival curves of PF-ILD <bold>(A)</bold> Survival&#xa0;curves of PF-ILD, non PF-ILD and IPF. Kaplan-Meier survival analysis showed no difference between PF-ILD and IPF group (<italic>p</italic>&#x20;&#x3d; 0.305). But significant difference was seen in PF-ILD group and non PF-ILD group (<italic>p</italic>&#x20;&#x3c; 0.001). The median survival times were 54 (95%CI: 39-69) and 58 (95%CI: 37-79)&#xa0;months in IPF and PF-ILD group respectively, NA in non PF-ILD group <bold>(B)</bold> Survival curves of subgroups of PF-ILD. Kaplan-Meier survival analysis showing a significant difference between groups (<italic>p</italic>&#x20;&#x3d; 0&#x20;001), a higher mortality in NSIP subgroup and a lower mortality in CTD-ILD &#x2b; IPAF subgroup. The median survival times were 108 (95%CI: 64-152), 39 (95%CI: 4-74), 25 (95%CI: 19-31), 48 (95%CI: 33-63)&#xa0;months in CTD-ILD &#x2b; IPAF, Unclassifiable ILD, NSIP and other ILDs groups respectively.; Abbreviations: PF-ILD, progressive fibrosing interstitial lung disease; IPF, idiopathic pulmonary fibrosis; CTD-ILD, connective tissue disease-associated interstitial lung disease; IPAF, interstitial pneumonia with autoimmune features; NSIP, nonspecific interstitial pneumonia.</p>
</caption>
<graphic xlink:href="fphar-12-754851-g003.tif"/>
</fig>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Accumulate survival&#x20;rates.</p>
</caption>
<table>
<tbody valign="top">
<tr>
<td align="left">
<bold>Groups</bold>
</td>
<td align="left">
<bold>12&#xa0;months</bold>
</td>
<td align="left">
<bold>36&#xa0;months</bold>
</td>
<td align="left">
<bold>60&#xa0;months (%)</bold>
</td>
</tr>
<tr>
<td align="left">PF-ILD (<italic>N</italic>&#x20;&#x3d; 132)</td>
<td valign="top" align="center">90.9%</td>
<td valign="top" align="center">58.8%</td>
<td valign="top" align="center">48.1</td>
</tr>
<tr>
<td align="left">IPF (<italic>N</italic>&#x20;&#x3d; 47)</td>
<td valign="top" align="center">89.4%</td>
<td valign="top" align="center">68.1%</td>
<td valign="top" align="center">43.9</td>
</tr>
<tr>
<td align="left">Non PF-ILD (<italic>N</italic>&#x20;&#x3d; 392)</td>
<td valign="top" align="center">99.4%</td>
<td valign="top" align="center">96.4%</td>
<td valign="top" align="center">91.0</td>
</tr>
<tr>
<td align="left">PF-ILD subgroups</td>
<td valign="top" align="center"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;CTD-ILD &#x2b; IPAF (<italic>N</italic>&#x20;&#x3d; 62)</td>
<td valign="top" align="center">93.4%</td>
<td valign="top" align="center">67.2%</td>
<td align="center">62.3</td>
</tr>
<tr>
<td align="left">&#x2003;Unclassifiable ILD (<italic>N</italic>&#x20;&#x3d; 45)</td>
<td valign="top" align="center">86.7%</td>
<td valign="top" align="center">53.3%</td>
<td valign="top" align="center">42.2</td>
</tr>
<tr>
<td align="left">&#x2003;NSIP (<italic>N</italic>&#x20;&#x3d; 10)</td>
<td valign="top" align="center">90.0%</td>
<td valign="top" align="center">20.0%</td>
<td valign="top" align="center">10.0</td>
</tr>
<tr>
<td align="left">&#x2003;Other ILDs (<italic>N</italic>&#x20;&#x3d; 15)</td>
<td valign="top" align="center">86.7%</td>
<td valign="top" align="center">66.7%</td>
<td valign="top" align="center">26.7</td>
</tr>
<tr>
<td align="left">HRCT scores</td>
<td valign="top" align="center"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;1 point (<italic>N</italic>&#x20;&#x3d; 19)</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td align="center">94.7</td>
</tr>
<tr>
<td align="left">&#x2003;2 point (<italic>N</italic>&#x20;&#x3d; 42)</td>
<td valign="top" align="center">95.2%</td>
<td valign="top" align="center">73.8%</td>
<td valign="top" align="center">61.9</td>
</tr>
<tr>
<td align="left">&#x2003;3 point (<italic>N</italic>&#x20;&#x3d; 43)</td>
<td valign="top" align="center">88.3%</td>
<td valign="top" align="center">50.1%</td>
<td valign="top" align="center">38.2</td>
</tr>
<tr>
<td align="left">&#x2003;4 point (<italic>N</italic>&#x20;&#x3d; 28)</td>
<td valign="top" align="center">82.1%</td>
<td valign="top" align="center">21.4%</td>
<td valign="top" align="center">10.7</td>
</tr>
<tr>
<td align="left">SPAP</td>
<td valign="top" align="center"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;&#x2264;36.5&#xa0;mmHg (<italic>N</italic>&#x20;&#x3d; 31)</td>
<td valign="top" align="center">96.8%</td>
<td valign="top" align="center">80.6%</td>
<td align="center">77.4</td>
</tr>
<tr>
<td align="left">&#x2003;&#x3e;36.5&#xa0;mmHg (<italic>N</italic>&#x20;&#x3d; 57)</td>
<td valign="top" align="center">89.5%</td>
<td valign="top" align="center">52.6%</td>
<td valign="top" align="center">38.6</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Abbreviations: PF-ILD, progressive fibrosing interstitial lung disease; IPF, idiopathic pulmonary fibrosis; CTD-ILD, connective tissue disease-associated interstitial lung disease; IPAF, interstitial pneumonia with autoimmune features; NSIP, nonspecific interstitial pneumonia; UIP, usual interstitial pneumonitis; HRCT, high-resolution computed tomography; SPAP, systolic pulmonary artery pressure; Accumulate survival rates are estimated from Kaplan-Meier survival analysis.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Univariate survival analysis of potential risk factors for the mortality of PF-ILD was shown in <xref ref-type="table" rid="T4">Table&#x20;4</xref>. The cutoff values calculated by ROC curves were used for classifying continuous variables. Logistics univariate analysis revealed that the age &#x3e;67&#xa0;years, time from the symptom onset to the diagnosis of ILD &#x3e;23.5 months, time from the diagnosis of ILD to PF-ILD &#x3c; 34.5&#xa0;months, FVC% predicted ranged 40&#x2013;59%, DLCO% predicted &#x3c;60%, HRCT score and UIP pattern, MPAD/AAD &#x3e;0.81, SPAP &#x3e;36.5&#xa0;mmHg, differential arterial oxygen partial pressure [P (A-a) O<sub>2</sub>] &#x3e; 34.95&#xa0;mmHg, soluble interleukin-2 receptor (SIL-2R) &#x3e; 525&#xa0;U/ml and increased level of carbohydrate antigen 199 (CA199) (&#x3e;26.75&#xa0;U/ml) were all risk factors for the mortality of PF-ILD (all <italic>p</italic>&#x20;&#x3c; 0.05). The impact of systemic therapy on univariate survival was also summarized, and there was no significant difference in the survival of patients treated with prednisone, immunosuppressants or antifibrotic&#x20;drugs.</p>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Factors associated with mortality in patients of PF-ILD.</p>
</caption>
<table>
<tbody valign="top">
<tr>
<td rowspan="2" align="left">
<bold>Factors</bold>
</td>
<td rowspan="2" align="left">
<bold>
<italic>p</italic> Value</bold>
</td>
<td rowspan="2" align="left">
<bold>OR</bold>
</td>
<td colspan="2" align="center">
<bold>95%CI</bold>
</td>
</tr>
<tr>
<td align="left">
<bold>Lower limit</bold>
</td>
<td align="left">
<bold>Upper limit</bold>
</td>
</tr>
<tr>
<td align="left">Gender (male)</td>
<td valign="top" align="center">0.059</td>
<td valign="top" align="center">2.015</td>
<td valign="top" align="center">0.974</td>
<td valign="top" align="center">4.168</td>
</tr>
<tr>
<td align="left">Age &#x3e;67&#xa0;years (cutoff)</td>
<td valign="top" align="center">0.025</td>
<td valign="top" align="center">2.451</td>
<td valign="top" align="center">1.120</td>
<td valign="top" align="center">5.365</td>
</tr>
<tr>
<td align="left">Time from symptom onset to diagnosis of ILD &#x3e;23.5&#xa0;months (cutoff)</td>
<td valign="top" align="center">0.030</td>
<td valign="top" align="center">2.494</td>
<td valign="top" align="center">1.092</td>
<td valign="top" align="center">5.698</td>
</tr>
<tr>
<td align="left">Time from diagnosis of ILD to PF-ILD &#x3c; 34.5&#xa0;months (cutoff)</td>
<td valign="top" align="center">&#x3c;0.001</td>
<td valign="top" align="center">8.991</td>
<td valign="top" align="center">3.206</td>
<td valign="top" align="center">25.217</td>
</tr>
<tr>
<td align="left">Prednisone (current &#x2b; past)</td>
<td valign="top" align="center">0.176</td>
<td valign="top" align="center">1.722</td>
<td valign="top" align="center">0.783</td>
<td valign="top" align="center">3.786</td>
</tr>
<tr>
<td align="left">FVC %</td>
<td valign="top" align="center"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;60&#x2013;80%</td>
<td valign="top" align="center">0.473</td>
<td valign="top" align="center">1.400</td>
<td valign="top" align="center">0.559</td>
<td align="center">3.507</td>
</tr>
<tr>
<td align="left">&#x2003;40&#x2013;59%</td>
<td valign="top" align="center">0.029</td>
<td valign="top" align="center">3.400</td>
<td valign="top" align="center">1.130</td>
<td valign="top" align="center">10.232</td>
</tr>
<tr>
<td align="left">&#x2003;&#x3c;40%</td>
<td valign="top" align="center">0.068</td>
<td valign="top" align="center">4.900</td>
<td valign="top" align="center">0.890</td>
<td valign="top" align="center">26.969</td>
</tr>
<tr>
<td align="left">DLCO %</td>
<td valign="top" align="center"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;60&#x2013;80%</td>
<td valign="top" align="center">0.620</td>
<td valign="top" align="center">1.400</td>
<td valign="top" align="center">0.370</td>
<td align="center">5.294</td>
</tr>
<tr>
<td align="left">&#x2003;40&#x2013;59%</td>
<td valign="top" align="center">0.003</td>
<td valign="top" align="center">6.800</td>
<td valign="top" align="center">1.942</td>
<td valign="top" align="center">23.810</td>
</tr>
<tr>
<td align="left">&#x2003;&#x3c;40%</td>
<td valign="top" align="center">0.003</td>
<td valign="top" align="center">10.200</td>
<td valign="top" align="center">2.257</td>
<td valign="top" align="center">46.091</td>
</tr>
<tr>
<td align="left">&#x2003;HRCT score</td>
<td valign="top" align="center">&#x3c;0.001</td>
<td valign="top" align="center">3.766</td>
<td valign="top" align="center">2.284</td>
<td valign="top" align="center">6.210</td>
</tr>
<tr>
<td align="left">&#x2003;UIP pattern in HRCT</td>
<td valign="top" align="center">&#x3c;0.001</td>
<td valign="top" align="center">4.639</td>
<td valign="top" align="center">2.049</td>
<td valign="top" align="center">10.507</td>
</tr>
<tr>
<td align="left">&#x2003;MPAD/AAD &#x3e;0.81</td>
<td valign="top" align="center">0.008</td>
<td valign="top" align="center">2.796</td>
<td valign="top" align="center">1.303</td>
<td valign="top" align="center">6.000</td>
</tr>
<tr>
<td align="left">&#x2003;SPAP &#x3e;36.5&#xa0;mmHg (cutoff)</td>
<td valign="top" align="center">&#x3c;0.001</td>
<td valign="top" align="center">5.752</td>
<td valign="top" align="center">2.200</td>
<td valign="top" align="center">15.036</td>
</tr>
<tr>
<td align="left">&#x2003;P (A-a) O<sub>2</sub> &#x3e; 34.95&#xa0;mmHg (cutoff)</td>
<td valign="top" align="center">0.034</td>
<td valign="top" align="center">2.786</td>
<td valign="top" align="center">1.080</td>
<td valign="top" align="center">7.185</td>
</tr>
<tr>
<td align="left">&#x2003;SIL-2R &#x3e; 525 U/ml (cutoff)</td>
<td valign="top" align="center">&#x3c;0.001</td>
<td valign="top" align="center">6.857</td>
<td valign="top" align="center">2.386</td>
<td valign="top" align="center">19.706</td>
</tr>
<tr>
<td align="left">&#x2003;CA199 &#x3e; 26.76 U/ml (cutoff)</td>
<td valign="top" align="center">0.002</td>
<td valign="top" align="center">3.850</td>
<td valign="top" align="center">1.638</td>
<td valign="top" align="center">9.051</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Abbreviations: ILD, interstitial lung disease; FVC, forced vital capacity; DLCO, diffusion capacity for carbon monoxide; HRCT, high-resolution computed tomography; UIP, usual interstitial pneumonitis; MPAD, main pulmonary artery diameter; AAD, ascending aorta diameter; SPAP, systolic pulmonary artery pressure; P(A-a) O<sub>2</sub>, differential arterial oxygen partial pressure. SIL-2R, soluble interleukin-2 receptor. CA199, carbohydrate antigen 199. Statistically significant <italic>p</italic> values are highlighted in&#x20;bold.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Cox regression analysis was performed on significant factors obtained from univariate analysis with <italic>p</italic> value &#x3c;0.2, including male, prednisone treatment (current or past), and above risk factors. It is shown that SPAP &#x3e;36.5&#xa0;mmHg (HR 3.619, 95%CI 1.170&#x2013;11.194, <italic>p</italic>&#x20;&#x3d; 0.026) and HRCT scores (HR 1.684, 95% CI 1.017&#x2013;2.788, <italic>p</italic>&#x20;&#x3d; 0.043) were independent risk factors for the mortality of PF-ILD (<xref ref-type="fig" rid="F4">Figure&#x20;4</xref>).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Multivariate regression analysis of mortality; Abbreviations: SPAP, systolic pulmonary artery pressure; HRCT: high-resolution computed tomography; HR, hazard ratio. Cox regression analysis suggested that SPAP &#x3e;36.5&#xa0;mmHg and HRCT scores were independent risk factors for mortality in patients with PF-ILD (<italic>p</italic>&#x20;&#x3d; 0.026, 0.043 respectively).</p>
</caption>
<graphic xlink:href="fphar-12-754851-g004.tif"/>
</fig>
<p>Kaplan-Meier survival curves consistently obtained the independent risk factors for the mortality of PF-ILD (<xref ref-type="fig" rid="F5">Figures 5A,B</xref>). PF-ILD patients with SPAP &#x3e;36.5&#xa0;mmHg had a worse prognosis (<italic>p</italic>&#x20;&#x2264; 0.001), and obviously decreases in 3-years and 5-years survival (<xref ref-type="table" rid="T3">Table&#x20;3</xref>). With the increase of HRCT scores, the prognosis of patients with PF-ILD became significantly worse (<italic>p</italic>&#x20;&#x3c; 0.001). The 3-years survival of PF-ILD patients with 3 and 4 HRCT scores were only about 50 and 21.4%, respectively, and their 5-years survival were 38.2 and 10.7%, respectively.</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Survival curves according to risk factors for mortality <bold>(A)</bold> Survival curves according to SPAP with a 36.5&#xa0;mmHg threshold. Log-rank <italic>p</italic>&#x20;&#x3d; 0.001. The median survival times were 43 (95%CI: 23-63)&#xa0;months in SPAP &#x3e;36.5&#xa0;mmHg group and NA in SPAP &#x2264;36.5&#xa0;mmHg group <bold>(B)</bold> Survival curves according to HRCT scores. Log-rank <italic>p</italic>&#x20;&#x3c; 0.001. The median survival times were 108 (95%CI: 68-148)&#xa0;months in 2-point group, 39 (95%CI: 20-58)&#xa0;months in 3-point group, 21 (95%CI:17-25)&#xa0;months in 4-point group, and NA in 1-point group.; Abbreviations: SPAP, systolic pulmonary artery pressure; HRCT: high-resolution computed tomography.</p>
</caption>
<graphic xlink:href="fphar-12-754851-g005.tif"/>
</fig>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>In the present study, we retrospectively analyzed clinical characteristics of 132 patients with PF-ILD other than IPF. Most of the subjects were middle-aged and elderly, with a median age of 63&#xa0;years, and they were older than non-PF-ILD patients. In our study cohort, the gender ratio was similar to IPF but different from PF-ILD population (mostly male patients). The gender ratio in this study differed from that in the recent PROGRESS<sup>&#xae;</sup> study (<xref ref-type="bibr" rid="B24">Nasser et&#x20;al., 2021</xref>), in which males and females are equally distributed. However, Cox analysis revealed that both age and gender did not significantly influence the prognosis of PF-ILD. Autoimmune disease-related ILD in general has a relatively good prognosis, as previous studies reported (<xref ref-type="bibr" rid="B26">Oldham et&#x20;al., 2016</xref>; <xref ref-type="bibr" rid="B33">Strek and Costabel, 2016</xref>). This study found that PF-ILD was an important clinical phenotype of ILDs, which usually had a poor prognosis and was similar to that of&#x20;IPF.</p>
<p>Previous studies have reported that PAH was a risk factor for poor prognosis of IPF (<xref ref-type="bibr" rid="B28">Raghu et&#x20;al., 2015</xref>). In a retrospective analysis of consecutive IPF patients undergoing right heart catheterization prior to transplantation, it was found that PAH was common in advanced IPF cases that significantly influenced their survival. The 1-year mortality in IPF patients with PAH was significantly higher than those without PAH (28 vs 5.5%), which was linearly correlated with mean pulmonary artery pressure (<xref ref-type="bibr" rid="B19">Lettieri et&#x20;al., 2006</xref>). In patients with IPF undergoing serial right-sided heart catheterization prior to transplantation, nearly all of them develop PAH later in their course (38.6% at baseline and 86.4% at transplantation) (<xref ref-type="bibr" rid="B25">Nathan et&#x20;al., 2008</xref>). Pulmonary involvement, including both ILD and PAH, are reported as the primary causes of morbidity and mortality of systemic sclerosis (<xref ref-type="bibr" rid="B32">Steen and Medsger, 2007</xref>). ILD cases with untreated PAH usually rapidly progress to respiratory failure and/or die within 2&#x2013;3&#x20;years after being clinically detectable (<xref ref-type="bibr" rid="B3">Castro and Jimenez, 2010</xref>; <xref ref-type="bibr" rid="B8">Giacomelli et&#x20;al., 2019</xref>). Echocardiography is an accessible method to estimate SPAP. In the present study, we also estimated PAH by calculating MPAD/AAD ratio through HRCT. Among the numerous factors we selected for analysis, both MPAD/AAD and SPAP at echocardiography were risk factors for the mortality of PF-ILD, but only SPAP was proven as an independent factor for it by Cox regression. The median survival time was 43&#xa0;months (95%CI: 23-63) in SPAP &#x3e;36.5&#xa0;mmHg group. Until now, there have been few relevant conclusions reported in PF-ILD cohort. Our study suggested that monitoring SPAP calculated by echocardiography is important during the follow-up for all patients with progressive pulmonary fibrosis.</p>
<p>HRCT is a more sensitive modality for detecting ILD, which can be used to evaluate the prognosis of ILDs. The extent of honeycombing and reticulation has been reported as a predictor of the mortality in patients with IPF (<xref ref-type="bibr" rid="B20">Lynch et&#x20;al., 2005</xref>). Besides, in patients with chronic HP and CTD-ILD, the severity of traction bronchiectasis and the extent of honeycombing have been verified as predictors of the mortality (<xref ref-type="bibr" rid="B35">Walsh et&#x20;al., 2012</xref>; <xref ref-type="bibr" rid="B34">Walsh et&#x20;al., 2014b</xref>). Identification the extent of fibrosis contributes to assess the poor prognosis of patients with fibrotic ILDs, including fibrotic IIP with little honeycombing (<xref ref-type="bibr" rid="B30">Shin et&#x20;al., 2008</xref>; <xref ref-type="bibr" rid="B6">Edey et&#x20;al., 2011</xref>; <xref ref-type="bibr" rid="B18">Lee et&#x20;al., 2012</xref>). The prognostic value of HRCT findings has been doubted. Data from a large group of patients with IPF or CTD-ILD presenting UIP pattern showed that clinical but not radiological features are survival predictors (<xref ref-type="bibr" rid="B23">Moua et&#x20;al., 2014</xref>). In our study, we defined the area of fibrosis to correspond to HRCT score, which was found to be an independent risk factor for the mortality of patients with PF-ILD. Our findings provided the latest evidence of the prognostic role of HRCT in PF-ILD. HRCT examination is of great significance in the initial evaluation of all ILDs, and monitoring of HRCT score is also a promising approach to assess treatment response (<xref ref-type="bibr" rid="B12">Hansell et&#x20;al., 2008</xref>).</p>
<p>Several limitations associated with retrospective and monocentric design existed in this study. It was a single-center study with a small sample size, which may cause some biases. We will further expand the cohort in the future. Secondly, due to incomplete data on lung function, the decrease in FVC was not included in the statistics, but it has been reported in the previous studies. And most of the PF-ILD cases we have diagnosed were dependent on clinical symptoms and HRCT. Thirdly, the relatively large number of patients with unclassified interstitial lung disease, due to the low percentage of surgical biopsies, may have resulted in an imprecise classification.</p>
</sec>
<sec sec-type="conclusion" id="s5">
<title>Conclusion</title>
<p>Patients with PF-ILD, similar to IPF cases, had worse prognosis than that of non-PF-ILD patients, but cases with an autoimmune disease-related type had a relatively good prognosis. Identifying the subtype of the disease may influence the prognosis. HRCT scores and SPAP&#x3e;36.5&#xa0;mmHg were independent risk factors for the mortality in patients with PF-ILD. In addition to pulmonary function, chest HRCT and echocardiography examined for monitoring SPAP are of great significance in the follow-up and the optimal time of lung transplantation of patients with PF-ILD.</p>
</sec>
</body>
<back>
<sec id="s6">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="s12">Supplementary Material</xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s7">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by Ethical approval was waived by the Ethics Committee of Shanghai Pulmonary Hospital in view of the retrospective nature of the study (No. k21023), and all the procedures being performed were part of routine care. The patients/participants provided their written informed consent to participate in this&#x20;study.</p>
</sec>
<sec id="s8">
<title>Author Contributions</title>
<p>All authors listed have made a substantial, direct, and intellectual contribution to the work and approved it for publication.</p>
</sec>
<sec id="s9">
<title>Funding</title>
<p>This study was supported by grants from the Dream Mentor-Freshman Training Program of Shanghai Pulmonary Hospital (No. fkxr 1901), National Science Foundation of Shanghai, China (No. 18ZR1431400), Science and Technology Innovation Research Project of Shanghai Science and Technology Commission, China (No. 20Y11902700), and Clinical Research Plan of SHDC (No. SHDC20CR40011C).</p>
</sec>
<sec sec-type="COI-statement" id="s10">
<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 sec-type="disclaimer" id="s11">
<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>
<ack>
<p>The authors wish to thank the grants from Dream Mentor-Freshman Training Program of Shanghai Pulmonary Hospital (No. fkxr 1901), National Science Foundation of Shanghai, China (No.18ZR1431400), Science and Technology Innovation Research Project of Shanghai Science and Technology Commission, China (No. 20Y11902700), and Clinical Research Plan of SHDC (No. SHDC20CR40011C). And the authors wish to thank Prof. Aihong Zhang who is a statistician of Tongji University for the data analysis.</p>
</ack>
<sec id="s12">
<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/fphar.2021.754851/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fphar.2021.754851/full&#x23;supplementary-material</ext-link>.</p>
<supplementary-material xlink:href="Table1.DOCX" id="SM1" mimetype="application/DOCX" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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