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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.2023.1067149</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>Changes in patient-reported outcomes in patients with non-idiopathic pulmonary fibrosis fibrotic interstitial lung disease and progressive pulmonary fibrosis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Takei</surname>
<given-names>Reoto</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2011609/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Matsuda</surname>
<given-names>Toshiaki</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1269371/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Fukihara</surname>
<given-names>Jun</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sasano</surname>
<given-names>Hajime</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yamano</surname>
<given-names>Yasuhiko</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yokoyama</surname>
<given-names>Toshiki</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kataoka</surname>
<given-names>Kensuke</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kimura</surname>
<given-names>Tomoki</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Suzuki</surname>
<given-names>Atsushi</given-names>
</name>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1422144/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Furukawa</surname>
<given-names>Taiki</given-names>
</name>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<xref rid="aff3" ref-type="aff"><sup>3</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2321301/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Fukuoka</surname>
<given-names>Junya</given-names>
</name>
<xref rid="aff4" ref-type="aff"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Johkoh</surname>
<given-names>Takeshi</given-names>
</name>
<xref rid="aff5" ref-type="aff"><sup>5</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Kondoh</surname>
<given-names>Yasuhiro</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="c001" ref-type="corresp"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2047337/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Respiratory Medicine and Allergy, Tosei General Hospital</institution>, <addr-line>Seto</addr-line>, <country>Japan</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Respiratory Medicine, Nagoya University Graduate School of Medicine</institution>, <addr-line>Nagoya</addr-line>, <country>Japan</country></aff>
<aff id="aff3"><sup>3</sup><institution>Medical IT Center, Nagoya University Hospital</institution>, <addr-line>Nagoya</addr-line>, <country>Japan</country></aff>
<aff id="aff4"><sup>4</sup><institution>Department of Pathology, Nagasaki University Hospital</institution>, <addr-line>Nagasaki</addr-line>, <country>Japan</country></aff>
<aff id="aff5"><sup>5</sup><institution>Department of Radiology, Kansai Rosai Hospital</institution>, <addr-line>Amagasaki</addr-line>, <country>Japan</country></aff>
<author-notes>
<fn id="fn0001" fn-type="edited-by">
<p>Edited by: Marialuisa Bocchino, University of Naples Federico II, Italy</p>
</fn>
<fn id="fn0002" fn-type="edited-by">
<p>Reviewed by: Elisabetta Cocconcelli, University of Padua, Italy; Rodolfo P. Vieira, Centro Universit&#x00E1;rio UniEvang&#x00E9;lica, Brazil</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Yasuhiro Kondoh, <email>kondoh@tosei.or.jp</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>30</day>
<month>06</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>10</volume>
<elocation-id>1067149</elocation-id>
<history>
<date date-type="received">
<day>11</day>
<month>10</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>01</day>
<month>06</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2023 Takei, Matsuda, Fukihara, Sasano, Yamano, Yokoyama, Kataoka, Kimura, Suzuki, Furukawa, Fukuoka, Johkoh and Kondoh.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Takei, Matsuda, Fukihara, Sasano, Yamano, Yokoyama, Kataoka, Kimura, Suzuki, Furukawa, Fukuoka, Johkoh and Kondoh</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Health-related quality of life (HRQoL) captures different aspects of the fibrotic interstitial lung disease (FILD) evaluation from the patient&#x2019;s perspective. However, little is known about how HRQoL changes in patients with non-idiopathic pulmonary fibrosis (IPF) FILD, especially in those with progressive pulmonary fibrosis (PPF). The aim of this study is to clarify whether HRQoL deteriorates in patients with non-IPF FILD and to evaluate the differences in the changes in HRQoL between those with and without PPF.</p>
</sec>
<sec>
<title>Methods</title>
<p>We collected data from consecutive patients with non-IPF FILD and compared annual changes in HRQoL over 2 years between patients with PPF and those without. The St George&#x2019;s respiratory questionnaire (SGRQ) and COPD assessment test (CAT) were used to assess HRQoL. Changes in the SGRQ and CAT scores for 24&#x2009;months from baseline were evaluated with a mixed-effect model for repeated measures.</p>
</sec>
<sec>
<title>Results</title>
<p>A total of 396 patients with non-IPF FILD were reviewed. The median age was 65 years and 202 were male (51.0%). The median SGRQ and CAT scores were 29.6 and 11, respectively. Eighty-six (21.7%) showed PPF. Both SGRQ and CAT scores were significantly deteriorated in patients with PPF compared to those without PPF (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.01 for both). Clinically important deterioration in the SGRQ and CAT scores were observed in 40.0 and 35.7% of patients with PPF and 11.7 and 16.7% of those without, respectively. PPF was significantly associated with clinically important deterioration in the SGRQ score (odds ratio 5.04; 95%CI, 2.61&#x2013;9.76, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.01) and CAT score (odds ratio 2.78; 95%CI, 1.27&#x2013;6.06, <italic>p</italic>&#x2009;=&#x2009;0.02).</p>
</sec>
<sec>
<title>Conclusion</title>
<p>The SGRQ and CAT scores were significantly deteriorated in patients with non-IPF FILD and PPF. Considering an evaluation of HRQoL would be needed when assessing PPF.</p>
</sec>
</abstract>
<kwd-group>
<kwd>interstitial lung disease</kwd>
<kwd>progressive pulmonary fibrosis</kwd>
<kwd>progressive fibrosing interstitial lung disease</kwd>
<kwd>St George&#x2019;s respiratory questionnaire</kwd>
<kwd>COPD assessment test</kwd>
<kwd>health-related quality of life</kwd>
<kwd>6&#x2009;min walk distance</kwd>
</kwd-group>
<contract-sponsor id="cn1">Ministry of Health, Labour and Welfare, Japan<named-content content-type="fundref-id">10.13039/501100003478</named-content></contract-sponsor>
<counts>
<fig-count count="6"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="28"/>
<page-count count="8"/>
<word-count count="4656"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Pulmonary Medicine</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="sec5" sec-type="intro">
<title>Introduction</title>
<p>Interstitial lung diseases (ILDs) are a large and heterogeneous group of lung disorders characterized by fibrosis and inflammation of the lung tissue. Various topics of ILDs including genetic variants or the utility of the International Classification of Functioning, Disability, and Health have been discussed and one of the recent hot topics of ILDs were disease progression (<xref ref-type="bibr" rid="ref1">1</xref>&#x2013;<xref ref-type="bibr" rid="ref4">4</xref>). Idiopathic pulmonary fibrosis (IPF) is the symbolic and most frequent disease of fibrotic ILDs (FILDs) and IPF usually shows progression of fibrosis (<xref ref-type="bibr" rid="ref1">1</xref>). Some FILDs other than IPF also have a progressive phenotype despite treatment (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref5">5</xref>&#x2013;<xref ref-type="bibr" rid="ref10">10</xref>) and have been reported to show similar overall survival to IPF (<xref ref-type="bibr" rid="ref5">5</xref>, <xref ref-type="bibr" rid="ref6">6</xref>). Recently, non-IPF FILDs with a progressive phenotype have been noted as a form of progressive pulmonary fibrosis (PPF) (<xref ref-type="bibr" rid="ref1">1</xref>).</p>
<p>Studies have used variable definitions of a progressive phenotype, most of which cite a decline in pulmonary function, progression of radiological fibrosis and worsening of respiratory symptoms (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref5">5</xref>&#x2013;<xref ref-type="bibr" rid="ref8">8</xref>, <xref ref-type="bibr" rid="ref11">11</xref>). Although these measures are useful to evaluate disease progression, they are not sufficient to assess patients&#x2019; feelings and functioning.</p>
<p>Health-related quality of life (HRQoL) captures different aspects of ILD from the patient&#x2019;s perspective (<xref ref-type="bibr" rid="ref12">12</xref>). Although deterioration of HRQoL lacks objectivity in practice, it has been thought to be highly meaningful for patients (<xref ref-type="bibr" rid="ref13">13</xref>). However, little is known about whether HRQoL deteriorates in non-IPF FILD patients with PPF and whether there is a difference in the changes in HRQoL between those with and without PPF. We think investigating relationships between criteria for PPF and HRQoL lead to identifying PPF in terms of quality of life, shedding light on the significance of HRQoL, and revising the criteria for PPF. The aim of this study is to investigate whether there is a decline in HRQoL in patients with non-IPF FILD. Additionally, the study aims to evaluate and compare the differences in the changes of HRQoL between patients with and without PPF.</p>
</sec>
<sec id="sec6" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="sec7">
<title>Patient selection</title>
<p>The medical records of consecutive patients with non-IPF FILD who underwent initial evaluation at Tosei General Hospital (Seto, Japan) between January 2008 and July 2015 were retrospectively reviewed. We included patients with non-IPF FILD who had evaluated PPF based on our previous study (<xref ref-type="bibr" rid="ref5">5</xref>). PPF, which had already been confirmed in the previous study (<xref ref-type="bibr" rid="ref5">5</xref>), was defined as the presence of at least one of the following at 24&#x2009;months from the initial evaluation: a relative decline in forced vital capacity (FVC) of at least 10%; a relative decline in FVC of &#x2265;5&#x2013;&#x003C;10% with a relative decline in the diffusing capacity of the lung for carbon monoxide (DL<sub>CO</sub>) of at least 15%; a relative decline in FVC of &#x2265;5&#x2013;&#x003C;10% with increased fibrosis on high-resolution computed tomography; and a relative decline in FVC of &#x2265;5&#x2013;&#x003C;10% with progressive symptoms. The final diagnoses of non-IPF FILD were categorized as idiopathic non-specific interstitial pneumonia, fibrotic hypersensitivity pneumonitis, connective tissue disease-related ILD, idiopathic pleuroparenchymal fibroelastosis and unclassifiable ILD. Patients who died or underwent lung transplantation within 24&#x2009;months from the initial evaluation were excluded.</p>
</sec>
<sec id="sec8">
<title>Study design</title>
<p>We collected data on HRQoL and exercise capacity at baseline, 1&#x2009;year, and 2&#x2009;years. We compared the annual changes in the HRQoL over 2&#x2009;years between patients with and without PPF. The baseline data were collected at the initial evaluation of ILD.</p>
<p>The St George&#x2019;s respiratory questionnaire (SGRQ) and COPD assessment test (CAT) were used to assess HRQoL. The SGRQ is a specific questionnaire for respiratory disease and provides three component scores for the domains of symptoms, activity, and impacts, as well as a total score (score range: from 0 to 100, with higher scores indicating greater impairment of HRQoL) (<xref ref-type="bibr" rid="ref14">14</xref>). The CAT is composed of eight items related to symptoms of respiratory disease and their impact: cough, phlegm, chest tightness, breathlessness, activity limitation, confidence, sleep, and energy. Patients are asked to respond to all items using an identical 0&#x2013;5 response scale (score range: from 0 to 40, with a score of 0 indicating no impairment) (<xref ref-type="bibr" rid="ref15">15</xref>). Exercise capacity was evaluated using the 6&#x2009;min walk test, according to the American Thoracic Society statement (<xref ref-type="bibr" rid="ref16">16</xref>).</p>
<p>The minimal clinically important difference (MCID) was utilized to evaluate the deterioration of the SGRQ, CAT and the 6&#x2009;min walk distance (6MWD) with the thresholds of 8 points, 5 points, 7 points, and 7 points for SGRQ symptom, activity, impact, and total scores, respectively (<xref ref-type="bibr" rid="ref17">17</xref>); 4 points for CAT score (<xref ref-type="bibr" rid="ref18">18</xref>); and 28&#x2009;m for 6MWD (<xref ref-type="bibr" rid="ref19">19</xref>). This study was carried out at a single hospital in compliance with the principles of the Declaration of Helsinki and approved by its institutional review board (IRB No. 1091, August 16th, 2022).</p>
</sec>
<sec id="sec9">
<title>Statistical analysis</title>
<p>The statistical tests used in this study were Fisher&#x2019;s exact test and Mann&#x2013;Whitney U test to compare categorical and continuous variables, respectively. A mixed-effect model for repeated measures was used to evaluate changes in SGRQ, CAT, and 6MWD over 24&#x2009;months from baseline. A cumulative distribution function (CDF) plot was generated to visually present the relationship between HRQoL change scores or 6MWD change and PPF. The CDF plots used data from patients with and without PPF. All statistical tests were two-sided, and a significance level of <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05 was used to determine statistical significance. The data were reported using descriptive statistics, such as mean, standard deviation, median, and interquartile range. Results of the statistical tests were reported with the corresponding <italic>p</italic>-values and confidence intervals (CI) when appropriate. Statistical analyses were performed using SPSS version 25.0 (SPSS Inc., Chicago, IL).</p>
</sec>
</sec>
<sec id="sec10" sec-type="results">
<title>Results</title>
<p>A total of 447 patients with non-IPF FILD were reviewed. Fifty-one were excluded due to death or lung transplantation within 24&#x2009;months from the initial evaluation. Thus, 396 patients were included in the analysis set (<xref rid="fig1" ref-type="fig">Figure 1</xref>). Of these 396 patients, 19 had idiopathic non-specific interstitial pneumonia, 21 had fibrotic hypersensitivity pneumonitis, 163 had connective tissue disease-related ILD, six had idiopathic pleuroparenchymal fibroelastosis and 187 had unclassifiable ILD. Among 163 connective tissue disease-related ILD, 56 were rheumatoid arthritis, 38 were systemic sclerosis, 43 were myositis, 30 were sj&#x00F6;gren syndrome, 8 were mixed connective tissue disease, and 4 were systemic lupus erythematosus (including overlap disease). Baseline characteristics are summarized in the <xref rid="tab1" ref-type="table">Table 1</xref>. The median age was 65&#x2009;years and 202 were male (51.0%). The median 6MWD was 560 meters. The median SGRQ and CAT scores were 29.6 and 11, respectively. Eighty-six (21.7%) showed PPF. Distribution of the baseline SGRQ and CAT scores are shown in <xref rid="fig2" ref-type="fig">Figure 2</xref>.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Screening and inclusion process for patients in the study. FILD, fibrotic interstitial lung disease; IPF, idiopathic pulmonary fibrosis.</p>
</caption>
<graphic xlink:href="fmed-10-1067149-g001.tif"/>
</fig>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Patients&#x2019; baseline characteristics.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top" colspan="2" rowspan="2">All patients<sup>&#x002A;</sup></th>
<th align="center" valign="top" colspan="3">PPF</th>
<th colspan="2"/>
</tr>
<tr>
<th/>
<th align="center" valign="top" colspan="2">yes (<italic>n</italic>&#x2009;=&#x2009;86)</th>
<th align="center" valign="top">no (<italic>n</italic>&#x2009;=&#x2009;310)</th>
<th align="center" valign="top" colspan="2"><italic>p</italic> value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Age, year</td>
<td align="char" valign="middle" char=".">65</td>
<td align="char" valign="middle" char="(">(60&#x2013;71)</td>
<td align="char" valign="middle" char=".">67</td>
<td align="char" valign="middle" char="(">(61&#x2013;72)</td>
<td align="char" valign="middle" char=".">65</td>
<td align="char" valign="middle" char="(">(59&#x2013;71)</td>
<td align="char" valign="middle" char=".">0.07</td>
</tr>
<tr>
<td align="left" valign="middle">Gender, male</td>
<td align="char" valign="middle" char=".">202</td>
<td align="char" valign="middle" char="(">[51]</td>
<td align="char" valign="middle" char=".">43</td>
<td align="char" valign="middle" char="(">[50]</td>
<td align="char" valign="middle" char=".">159</td>
<td align="char" valign="middle" char="(">[51]</td>
<td align="char" valign="middle" char=".">0.90</td>
</tr>
<tr>
<td align="left" valign="middle">FVC, %predicted</td>
<td align="char" valign="middle" char=".">87.9</td>
<td align="char" valign="middle" char="(">(73.5&#x2013;103.6)</td>
<td align="char" valign="middle" char=".">87.7</td>
<td align="char" valign="middle" char="(">(74.0&#x2013;102.3)</td>
<td align="char" valign="middle" char=".">87.9</td>
<td align="char" valign="middle" char="(">(73.1&#x2013;103.8)</td>
<td align="char" valign="middle" char=".">0.88</td>
</tr>
<tr>
<td align="left" valign="middle">DL<sub>CO</sub>, %predicted</td>
<td align="char" valign="middle" char=".">66.5</td>
<td align="char" valign="middle" char="(">(52.1&#x2013;82.5)</td>
<td align="char" valign="middle" char=".">68.1</td>
<td align="char" valign="middle" char="(">(53.3&#x2013;84.4)</td>
<td align="char" valign="middle" char=".">65.9</td>
<td align="char" valign="middle" char="(">(51.7&#x2013;81.3)</td>
<td align="char" valign="middle" char=".">0.68</td>
</tr>
<tr>
<td align="left" valign="middle">6MWD, m</td>
<td align="char" valign="middle" char=".">560</td>
<td align="char" valign="middle" char="(">(494&#x2013;620)</td>
<td align="char" valign="middle" char=".">559</td>
<td align="char" valign="middle" char="(">(474&#x2013;621)</td>
<td align="char" valign="middle" char=".">563</td>
<td align="char" valign="middle" char="(">(496&#x2013;620)</td>
<td align="char" valign="middle" char=".">0.55</td>
</tr>
<tr>
<td align="left" valign="middle">SGRQ total</td>
<td align="char" valign="middle" char=".">29.6</td>
<td align="char" valign="middle" char="(">(15.0&#x2013;44.9)</td>
<td align="char" valign="middle" char=".">33.4</td>
<td align="char" valign="middle" char="(">(15.6&#x2013;47.5)</td>
<td align="char" valign="middle" char=".">28.8</td>
<td align="char" valign="middle" char="(">(14.9&#x2013;42.8)</td>
<td align="char" valign="middle" char=".">0.26</td>
</tr>
<tr>
<td align="left" valign="middle">SGRQ symptom</td>
<td align="char" valign="middle" char=".">37.3</td>
<td align="char" valign="middle" char="(">(22.0&#x2013;54.3)</td>
<td align="char" valign="middle" char=".">38.1</td>
<td align="char" valign="middle" char="(">(22.7&#x2013;58.5)</td>
<td align="char" valign="middle" char=".">36.8</td>
<td align="char" valign="middle" char="(">(21.1&#x2013;53.2)</td>
<td align="char" valign="middle" char=".">0.37</td>
</tr>
<tr>
<td align="left" valign="middle">SGRQ activity</td>
<td align="char" valign="middle" char=".">36.8</td>
<td align="char" valign="middle" char="(">(18.4&#x2013;59.5)</td>
<td align="char" valign="middle" char=".">39.7</td>
<td align="char" valign="middle" char="(">(23.4&#x2013;60.6)</td>
<td align="char" valign="middle" char=".">36.5</td>
<td align="char" valign="middle" char="(">(18.3&#x2013;59.5)</td>
<td align="char" valign="middle" char=".">0.31</td>
</tr>
<tr>
<td align="left" valign="middle">SGRQ impact</td>
<td align="char" valign="middle" char=".">21.1</td>
<td align="char" valign="middle" char="(">(8.1&#x2013;36.0)</td>
<td align="char" valign="middle" char=".">25.6</td>
<td align="char" valign="middle" char="(">(9.1&#x2013;38.8)</td>
<td align="char" valign="middle" char=".">20.1</td>
<td align="char" valign="middle" char="(">(8.0&#x2013;35.8)</td>
<td align="char" valign="middle" char=".">0.43</td>
</tr>
<tr>
<td align="left" valign="middle">CAT</td>
<td align="char" valign="middle" char=".">11</td>
<td align="char" valign="middle" char="(">(5&#x2013;18)</td>
<td align="char" valign="middle" char=".">11</td>
<td align="char" valign="middle" char="(">(8&#x2013;19)</td>
<td align="char" valign="middle" char=".">11</td>
<td align="char" valign="middle" char="(">(5&#x2013;18)</td>
<td align="char" valign="middle" char=".">0.38</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Data are presented as median (interquartile range) or number [%]. CAT, COPD assessment test; DL<sub>CO</sub>, diffusing capacity of the lung for carbon monoxide; FVC, forced vital capacity; PPF, progressive pulmonary fibrosis; SGRQ, St George&#x2019;s respiratory questionnaire; 6MWD, 6&#x2009;min walk distance. <sup>&#x002A;</sup><italic>N</italic>&#x2009;=&#x2009;396 except for DL<sub>CO</sub> (<italic>n</italic>&#x2009;=&#x2009;384), 6MWD (<italic>n</italic>&#x2009;=&#x2009;382), and CAT (<italic>n</italic>&#x2009;=&#x2009;263).</p>
</table-wrap-foot>
</table-wrap>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Distribution of the baseline SGRQ <bold>(A)</bold> and CAT <bold>(C)</bold> scores in all patients. Comparison of the baseline SGRQ <bold>(B)</bold> and CAT <bold>(D)</bold> scores between patients with and without PPF. CAT, COPD assessment test; PPF, progressive pulmonary fibrosis; SGRQ, St George&#x2019;s respiratory questionnaire.</p>
</caption>
<graphic xlink:href="fmed-10-1067149-g002.tif"/>
</fig>
<sec id="sec11">
<title>Changes in SGRQ</title>
<p>With regard to HRQoL, the mean change (standard deviation) in the SGRQ score over 2&#x2009;years from the baseline was 5.8&#x2009;&#x00B1;&#x2009;17.9 in patients with PPF and &#x2212;9.5&#x2009;&#x00B1;&#x2009;16.4 in those without. The SGRQ score was significantly higher in patients with PPF compared to those without (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.01) (<xref rid="fig3" ref-type="fig">Figure 3A</xref>). Differences in each component of the SGRQ between patients with and without PPF are shown in <xref rid="fig4" ref-type="fig">Figure 4</xref>.</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Change in the SGRQ total score <bold>(A)</bold> and CAT score <bold>(B)</bold> over 2 years from baseline. Standard error (SE) is derived from a mixed model for repeated measures. CAT, COPD assessment test; CI, confidence interval; PPF, progressive pulmonary fibrosis; SGRQ, St George&#x2019;s respiratory questionnaire.</p>
</caption>
<graphic xlink:href="fmed-10-1067149-g003.tif"/>
</fig>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Change in each component of the SGRQ score (<bold>(A)</bold>, symptoms; <bold>(B)</bold>, activity; <bold>(C)</bold>, impacts) over 2 years from baseline. Standard error (SE) is derived from a mixed model for repeated measures. CI, confidence interval; PPF, progressive pulmonary fibrosis; SGRQ, St George&#x2019;s respiratory questionnaire.</p>
</caption>
<graphic xlink:href="fmed-10-1067149-g004.tif"/>
</fig>
<p>The difference between the baseline SGRQ score and the 2&#x2009;year SGRQ score was evaluated in 262 patients. Among 86 patients with PPF who evaluated SGRQ at baseline, each number of patients who had evaluated the 2&#x2009;year changes of SGRQ in each category of the criteria for PPF was 40 in 57 patients met the a relative decline of FVC&#x2009;&#x2265;&#x2009;10%, 16 in 17 patients met a relative decline in FVC of &#x2265;5&#x2013;&#x003C;10% with a relative decline in DL<sub>CO</sub> of at least 15%, 15 in 16 patients met a relative decline in FVC of &#x2265;5&#x2013;&#x003C;10% with increased fibrosis on high-resolution computed tomography, and 12 in 14 patients met a relative decline in FVC of &#x2265;5&#x2013;&#x003C;10% with progressive symptoms.</p>
<p>The CDF plots provide a graphical presentation of the SGRQ change scores in patients with and without PPF (<xref rid="fig5" ref-type="fig">Figure 5A</xref>). Changes in the SGRQ total scores were significantly different between patients with and without PPF (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.01). Clinically important deterioration over 2&#x2009;years in the SGRQ total score was observed in 26 (40.0%) of 65 patients with PPF and 23 (11.7%) of 197 patients without PPF, respectively. PPF was significantly associated with clinically important deterioration in the SGRQ total score (odds ratio 5.04; 95%CI 2.61&#x2013;9.76, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.01) (<xref rid="fig6" ref-type="fig">Figure 6</xref>).</p>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p>Plot of CDF for the SGRQ total score <bold>(A)</bold> and the CAT score <bold>(B)</bold> from baseline to 2 years in patients with and without PPF. The vertical lines show the threshold of the minimal clinically important difference (SGRQ total score, 7 points; CAT score, 4 points). CAT, COPD assessment test; CDF, cumulative distribution function; PPF, progressive pulmonary fibrosis; SGRQ, St George&#x2019;s respiratory questionnaire.</p>
</caption>
<graphic xlink:href="fmed-10-1067149-g005.tif"/>
</fig>
<fig position="float" id="fig6">
<label>Figure 6</label>
<caption>
<p>Forest plots of odds ratios for deterioration in the SGRQ and CAT scores in patients with non-IPF FILD. CAT, COPD assessment test; CI, confidence interval; FILD, fibrotic interstitial lung disease; IPF, idiopathic pulmonary fibrosis; OR, odds ratio; PPF, progressive pulmonary fibrosis; SGRQ, St George&#x2019;s respiratory questionnaire.</p>
</caption>
<graphic xlink:href="fmed-10-1067149-g006.tif"/>
</fig>
</sec>
<sec id="sec12">
<title>Changes in CAT</title>
<p>The mean change (standard deviation) in the CAT score over 24&#x2009;months from baseline was 2.0&#x2009;&#x00B1;&#x2009;8.5 in patients with PPF and &#x2212;3.1&#x2009;&#x00B1;&#x2009;8.6 in those without. The CAT score was significantly higher in patients with PPF compared to those without (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.01) (<xref rid="fig3" ref-type="fig">Figure 3B</xref>).</p>
<p>The difference between the baseline CAT score and the 2&#x2009;year CAT score was evaluated in 174 patients. Among 54 patients with PPF who evaluated CAT score at baseline, each number of patients who had evaluated the 2&#x2009;year changes of CAT score in each category of the criteria for PPF was 24 in 35 patients met the a relative decline of FVC&#x2009;&#x2265;&#x2009;10%, 13 in 13 patients met a relative decline in FVC of &#x2265;5&#x2013;&#x003C;10% with a relative decline in DL<sub>CO</sub> of at least 15%, 9 in 9 patients met a relative decline in FVC of &#x2265;5&#x2013;&#x003C;10% with increased fibrosis on high-resolution computed tomography, and 8 in 9 patients met a relative decline in FVC of &#x2265;5&#x2013;&#x003C;10% with progressive symptoms.</p>
<p>The CDF plots provide a graphical presentation of the CAT change scores in patients with and without PPF (<xref rid="fig5" ref-type="fig">Figure 5B</xref>). Changes in the CAT scores were significantly different between patients with and without PPF (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.01). Clinically important deterioration over 2&#x2009;years in the CAT was observed in 15 (35.7%) of 42 patients with PPF and 22 (16.7%) of 132 patients without PPF, respectively. PPF was significantly associated with clinically important deterioration in the CAT score (odds ratio 2.78; 95%CI 1.27&#x2013;6.06, <italic>p</italic>&#x2009;=&#x2009;0.02) (<xref rid="fig6" ref-type="fig">Figure 6</xref>).</p>
</sec>
<sec id="sec13">
<title>Changes in exercise capacity</title>
<p>With regard to exercise capacity, the mean change (standard deviation) in the 6MWD over 24&#x2009;months from baseline was &#x2212;62.2&#x2009;&#x00B1;&#x2009;120.7 in patients with PPF and 22.8&#x2009;&#x00B1;&#x2009;75.6 in those without. The 6MWD was significantly lower in patients with PPF compared to those without (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.01) (<xref rid="SM1" ref-type="supplementary-material">Supplementary Figure S1</xref>).</p>
<p>The CDF plots provide a graphical presentation of the 6MWD change scores in patients with and without PPF (<xref rid="SM1" ref-type="supplementary-material">Supplementary Figure S2</xref>). The difference between the baseline 6MWD and the 2&#x2009;year 6MWD was evaluated in 252 patients. Clinically important deterioration over 2&#x2009;years in the 6MWD was observed in 33 (52.4%) of 63 patients with PPF and 40 (21.2%) of 189 patients without PPF, respectively. PPF was significantly associated with clinically important deterioration in the 6MWD (odds ratio 4.10; 95%CI 2.24&#x2013;7.51, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.01).</p>
</sec>
</sec>
<sec id="sec14" sec-type="discussions">
<title>Discussion</title>
<p>We evaluated the changes in the SGRQ and CAT scores in patients with non-IPF FILD and PPF compared with those without PPF. Our data showed that both the SGRQ and CAT scores were significantly deteriorated in non-IPF FILD with PPF. The fact that up to 40% of patients with PPF had significant worsening of the SGRQ and CAT scores indicates that majority of patients with PPF do not experience a significant deterioration. On the other hand, only about 15% of patients without PPF had a significant deterioration of the SGRQ and CAT scores indicating that the HRQoL is unlikely to be worsened in patients without PPF. To our knowledge, this is the first study to assess the utility of the SGRQ and CAT scores in non-IPF FILD focused on PPF.</p>
<p>Our results showed that the mean change in the SGRQ total score from baseline to 2&#x2009;years was about 6 points in patients with non-IPF FILD and PPF. A previous study (the INPULSIS trial) showed that patients with IPF had mean changes of about 4 points in the SGRQ total score in 52&#x2009;weeks (<xref ref-type="bibr" rid="ref20">20</xref>). Therefore, non-IPF FILD with PPF may have had a similar impact on the HRQoL to IPF.</p>
<p>The SGRQ is one of the most used tools for assessing HRQoL in patients with IPF (<xref ref-type="bibr" rid="ref17">17</xref>, <xref ref-type="bibr" rid="ref21">21</xref>). Previous studies showed the SGRQ total score had a good correlation with FVC and was associated with prognosis in patients with IPF (<xref ref-type="bibr" rid="ref21">21</xref>, <xref ref-type="bibr" rid="ref22">22</xref>). CAT score is also a valid HRQoL measurement and has a strong correlation with the SGRQ score in patients with IPF (<xref ref-type="bibr" rid="ref23">23</xref>). The SGRQ and CAT scores have also been validated in patients with connective tissue disease-related ILD (<xref ref-type="bibr" rid="ref18">18</xref>, <xref ref-type="bibr" rid="ref24">24</xref>, <xref ref-type="bibr" rid="ref25">25</xref>). Moreover, the CAT score was reported to be associated with poor prognosis in FILD (<xref ref-type="bibr" rid="ref26">26</xref>). Although several questionnaires are available to evaluate HRQoL in patients with IPF and non-IPF FILD (<xref ref-type="bibr" rid="ref27">27</xref>), little is known about their utility in patients with non-IPF FILD focused on PPF.</p>
<p>Our study showed that both SGRQ and CAT scores were significantly deteriorated in patients with non-IPF FILD and PPF. However, by using MCID to evaluate the deterioration of HRQoL, it was found that only about 40% of patients with PPF had detectable deterioration, while about 15% of patients without PPF had deterioration. Therefore, the current respiratory function test-based criteria for the progression of ILD has limited value in detecting deterioration in HRQoL. Considering that HRQoL affects prognosis independently of lung function (<xref ref-type="bibr" rid="ref22">22</xref>, <xref ref-type="bibr" rid="ref26">26</xref>) and the criteria for PPF were defined from prognostic factors, HRQoL may be a good candidate for the criteria of PPF. Further studies are needed to determine whether HRQoL should be included in the criteria for PPF.</p>
<p>The present study showed that exercise capacity was also significantly deteriorated in PPF of ILD. Exercise capacity is reported to be a determinant of HRQoL in ILD and is a possible point of intervention. Several reports have shown that the improvement of 6MWD and HRQoL by pulmonary rehabilitation (<xref ref-type="bibr" rid="ref28">28</xref>), while there are few studies focused on PPF of ILD, and it would be one of the future research topics.</p>
<p>This study has several limitations. First, it is a single-center study from a retrospective clinical cohort in Japan and the sample size for each type of non-IPF FILD was limited. There may be potential diagnostic bias and difficulty of evaluation in each type of non-IPF FILD because of the sample size and the variability of ILD diagnosis between countries. However, all diagnoses were confirmed by multidisciplinary discussion by ILD experts. Second, racial and ethnic differences may exist in patients&#x2019; perceptions. Prospective validation is needed to clarify these points. Third, it should be noted that we did not evaluate PPF according to the criteria proposed by the guideline in 2022 (<xref ref-type="bibr" rid="ref1">1</xref>). Finally, we decided the threshold values of changes in the SGRQ and CAT scores and 6MWD based on previous studies (<xref ref-type="bibr" rid="ref14">14</xref>&#x2013;<xref ref-type="bibr" rid="ref16">16</xref>). The optimal thresholds remain controversial and the thresholds applied in this study could have overestimated or underestimated the changes.</p>
<p>In conclusion, our results showed that the SGRQ and CAT scores were significantly deteriorated in patients with non-IPF FILD and PPF. Approximately 40% of patients with PPF experience significant deterioration of HRQoL, while those without PPF are less likely to experience deterioration of HRQoL. Our findings suggest that HRQoL may be a valuable tool for monitoring disease progression in non-IPF FILD patients with PPF, but the current criteria for the progression of non-IPF FILD has limited value in detecting the deterioration in HRQoL. We may need to consider an evaluation of HRQoL when assessing PPF in patients with non-IPF FILD.</p>
</sec>
<sec id="sec15" sec-type="data-availability">
<title>Data availability statement</title>
<p>The data that support the findings of this study are available from the corresponding author upon reasonable request.</p>
</sec>
<sec id="sec16">
<title>Ethics statement</title>
<p>The studies involving human participants were reviewed and approved by Tosei General Hospital. Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.</p>
</sec>
<sec id="sec17">
<title>Author contributions</title>
<p>RT, TM, and YK designed the study, collected the data, and wrote the original manuscript. RT performed the data analysis. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="conf1" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>YK reports consultant and lecture fees from Boehringer Ingelheim Co., Ltd. and lecture fees from Sekisui Medical Co., Ltd. TF reports grants from Nippon Boehringer Ingelheim Co., Ltd., outside the submitted work. TJ reports lecture fees from Boehringer Ingelheim Co., Ltd., Astra Zeneca Co. Ltd., and Kyorin Co. Ltd.</p>
<p>The remaining 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>
</body>
<back>
<ack>
<p>This study was partially supported by the Study Group on Diffuse Lung Disease, Scientific Research/Research on Intractable Diseases in the Ministry of Health, Labour and Welfare, Japan.</p>
</ack>
<sec id="sec19" sec-type="supplementary-material">
<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.2023.1067149/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fmed.2023.1067149/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Image_1.PDF" id="SM1" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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