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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.2025.1616252</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>Pulmonary function impairment and its relationship with target therapy response in patients with pulmonary arterial hypertension</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Xu</surname>
<given-names>Xia</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/3043908/overview"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Xie</surname>
<given-names>Mengshuang</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/software/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Haijun</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
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<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Junjun</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/3095891/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yang</surname>
<given-names>Zhao</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Ji</surname>
<given-names>Qiushang</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1987184/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Lu</surname>
<given-names>Weida</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1708058/overview"/>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Cui</surname>
<given-names>Xiaopei</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c002"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1272460/overview"/>
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</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Geriatric Medicine &#x0026; Laboratory of Gerontology and Anti-Aging Research, Qilu Hospital of Shandong University</institution>, <addr-line>Jinan, Shandong</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Xingcheng Community Health Service Center of Xuecheng District</institution>, <addr-line>Zaozhuang, Shandong</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Cardiology, Qilu Hospital, Cheeloo College of Medicine, Shandong University</institution>, <addr-line>Jinan, Shandong</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/624252/overview">Stefan Hadzic</ext-link>, University of Giessen, Germany</p>
</fn>
<fn fn-type="edited-by" id="fn0002">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1605248/overview">Carlos Jerjes-Sanchez</ext-link>, Tecnol&#x00F3;gico de Monterrey, Mexico</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2844054/overview">Jo Harrison</ext-link>, Royal Children's Hospital, Australia</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Weida Lu, <email>alovabledeer@126.com</email></corresp>
<corresp id="c002">Xiaopei Cui, <email>cuixiaopei@sdu.edu.cn</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>14</day>
<month>10</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>12</volume>
<elocation-id>1616252</elocation-id>
<history>
<date date-type="received">
<day>20</day>
<month>05</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>22</day>
<month>09</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Xu, Xie, Li, Liu, Yang, Ji, Lu and Cui.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Xu, Xie, Li, Liu, Yang, Ji, Lu and Cui</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>Introduction</title>
<p>Patients with pulmonary arterial hypertension (PAH) exhibit exertional dyspnea and decreased exercise capacity, which are not solely attributable to right heart dysfunction. Numerous studies have aimed to elucidate pulmonary function in PH patients and its correlation with disease severity and prognosis; however, the findings remain inconsistent. The impairment of ventilation and diffusion function may partially account for the occurrence of exertional dyspnea in PAH patients.</p>
</sec>
<sec id="sec2">
<title>Methods</title>
<p>This was a single-center prospective observational study. Pulmonary function tests, right heart catheterization, and four-strata risk status stratification were performed in PAH patients. The PAH patients were followed up for 12&#x202F;months.</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>A total of 181 PAH patients were enrolled in the study, comprising 62 with idiopathic pulmonary arterial hypertension (IPAH) and heritable PAH (HPAH), 69 with PAH associated with congenital heart disease (CHD-PAH), and 50 with PAH associated with connective tissue disease (CTD-PAH). Forced vital capacity (FVC), forced expiratory volume in 1&#x202F;s (FEV1), single-breath diffusion capacity for carbon monoxide (DLCO), DLCO% predicted (% pred), and reactance at 5&#x202F;Hz (X5) were significantly reduced, while residual volume (RV)% pred increased in PAH patients. CHD-PAH exhibited more pronounced ventilation impairment. Six-minute walking distance (6MWD) demonstrated a positive correlation with FEV<sub>1</sub> (r&#x202F;=&#x202F;0.353, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.01) and FVC (r&#x202F;=&#x202F;0.373, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.01), respectively. A total of 104 patients finished the follow-up. Patients exhibiting FVC% pred values below 82% demonstrated a diminished response to PAH-targeted therapy (OR&#x202F;=&#x202F;10.553, <italic>p</italic>&#x202F;=&#x202F;0.000, 95% CI: 2.580&#x2013;43.165).</p>
</sec>
<sec id="sec4">
<title>Conclusion</title>
<p>PAH patients exhibited impairment in both ventilation and diffusion capacity, while patients with diverse etiologies demonstrated distinct characteristics. FVC and FEV<sub>1</sub> were positively correlated with 6MWD, respectively. PAH patients with FVC% pred values below 82% demonstrated a diminished response to PAH-targeted therapy.</p>
</sec>
</abstract>
<kwd-group>
<kwd>pulmonary arterial hypertension</kwd>
<kwd>target therapy</kwd>
<kwd>risk status</kwd>
<kwd>pulmonary ventilation function</kwd>
<kwd>pulmonary diffusion function</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="33"/>
<page-count count="10"/>
<word-count count="6204"/>
</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 sec-type="intro" id="sec5">
<title>Introduction</title>
<p>Pulmonary arterial hypertension (PAH), classified as Group 1 pulmonary hypertension according to ESC/ERS guidelines (<xref ref-type="bibr" rid="ref1">1</xref>), is a progressive pulmonary vascular disease caused by a variety of etiologies, including idiopathic pulmonary arterial hypertension (IPAH), heritable PAH (HPAH), congenital heart disease-associated pulmonary arterial hypertension (CHD-PAH), and connective tissue disease-associated pulmonary arterial hypertension (CTD-PAH) (<xref ref-type="bibr" rid="ref1">1</xref>). PAH patients exhibit exertional dyspnea and reduced exercise capacity attributed to right heart dysfunction resulting from increased pulmonary vascular pressure and resistance. However, even after right heart function is improved with optimal PAH-specific treatment, exertional dyspnea remains prevalent among PAH patients, potentially arising from a discrepancy between the neural drive to breathe and the respiratory system&#x2019;s capacity to respond adequately (<xref ref-type="bibr" rid="ref2">2</xref>, <xref ref-type="bibr" rid="ref3">3</xref>). Mechanical constraints induced by dynamic hyperinflation and excessive ventilatory demand partially elucidate the etiology of exertional dyspnea in patients with PAH who do not exhibit spirometric obstruction (<xref ref-type="bibr" rid="ref4">4</xref>).</p>
<p>Several studies have aimed to elucidate pulmonary function in patients with pulmonary hypertension (PH) and its association with disease severity and prognosis; however, the conclusions remain inconsistent. Patients with different etiologies exhibit variations in pulmonary function test results. Escribano et al. observed that PAH patients categorized within Venice Groups 1 and 4 demonstrated normal forced vital capacity (FVC), forced expiratory volume in 1&#x202F;s (FEV<sub>1</sub>), and total lung capacity (TLC) but decreased carbon monoxide transfer factor (TLCO). Furthermore, no correlation was found between pulmonary function and hemodynamics (<xref ref-type="bibr" rid="ref5">5</xref>). Patients with idiopathic pulmonary arterial hypertension (IPAH) demonstrated not only impaired restrictive lung ventilation, characterized by reductions in FVC and FEV<sub>1</sub>, but also exhibited impaired diffusion function, evidenced by low diffusion capacity of the lung for carbon monoxide (DLCO), which was positively correlated with exercise capacity (<xref ref-type="bibr" rid="ref6">6</xref>, <xref ref-type="bibr" rid="ref7">7</xref>). Patients with CHD-PAH exhibited both restrictive and obstructive ventilatory impairment, and FVC demonstrated a correlation with 6MWD (<xref ref-type="bibr" rid="ref8">8</xref>, <xref ref-type="bibr" rid="ref9">9</xref>). Patients with CTD-PAH demonstrated only mild restrictive abnormality, and those with TLC&#x202F;&#x003E;&#x202F;86.11% exhibited a tendency toward improved response to initial combination therapy in the AMBITION study. Furthermore, PAH associated with scleroderma presented higher mortality rates in correlation with decreased DLCO (<xref ref-type="bibr" rid="ref10">10</xref>, <xref ref-type="bibr" rid="ref11">11</xref>).</p>
<p>As recommended by the 2022 European Society of Cardiology (ESC)/European Respiratory Society (ERS) joint guidelines on pulmonary hypertension (PH), the primary treatment goal of PAH is to achieve and maintain a low-risk status, defined as an expected 1-year mortality of less than 5% (<xref ref-type="bibr" rid="ref12">12</xref>). In the present study, we established a prospective PAH cohort with diverse etiologies, including IPAH, CHD-PAH, and CTD-PAH. Our objectives are to (1) characterize the pulmonary function profiles of PAH patients and (2) further investigate the association between pulmonary function and risk stratification, both at baseline and at follow-up after 12&#x202F;months of combined PAH-targeted therapy.</p>
</sec>
<sec sec-type="methods" id="sec6">
<title>Methods</title>
<sec id="sec7">
<title>Study design and patient enrollment</title>
<p>This single-center prospective observational study was conducted at Qilu Hospital at Shandong University. Healthy volunteers and PAH patients diagnosed by right heart catheterization (RHC), including idiopathic PAH (IPAH), heritable PAH (HPAH), PAH associated with congenital heart disease (CHD-PAH), and PAH associated with connective tissue diseases (CTD-PAH) were recruited from January 2021 to April 2022 with the approval of the Ethics Committee of Shandong University (KYLL-202204-035). Patients with scoliosis, coexisting lung disease, as shown by chest computed tomography (CT) or a history of chronic lung disease, including chronic obstructive lung disease (COPD), interstitial lung disease, asthma, lung cancer, and pneumonia, were excluded. Patients with a smoking index of more than 20 pack-years were also excluded. A total of 100 age-, gender-, and body mass index (BMI)-matched volunteers without pulmonary or cardiac disease were enrolled as control subjects.</p>
</sec>
<sec id="sec8">
<title>Data collection</title>
<p>Pulmonary function test (PFT), including ventilation, diffusion, and lung mechanics were performed using spirometry (MasterScreen PFT, Jaeger, Germany) for FVC, FEV<sub>1,</sub> and MEF following ATS/ERS2005 standards (<xref ref-type="bibr" rid="ref13">13</xref>), Gas Dilution Method for RV and TLC according to ATS/ERS (<xref ref-type="bibr" rid="ref14">14</xref>), and single breath DLCO for DLCO according to ATS/ERS2017 (<xref ref-type="bibr" rid="ref15">15</xref>) (MasterScreen Diffusion, Jaeger, Germany). Predicted values were calculated using the Global Lung Function Initiative (GLI) 2012 reference equations (<xref ref-type="bibr" rid="ref16">16</xref>). Older standards were retained for specific tests due to device compatibility and established clinical protocols at the time of data collection, while ensuring alignment with contemporary reference equations for predicted values. Impulse oscillometry (IOS) (MasterScreen IOS, Jaeger, Germany) for R5, R20, X5, and Fres, following ERS2020 guidelines, was performed (<xref ref-type="bibr" rid="ref17">17</xref>).</p>
<p>The RHC at rest was performed using a Swan-Ganz catheter for PAH patients. Systolic, diastolic, and mean pulmonary arterial pressure (sPAP, dPAP, and mPAP) were recorded. Cardiac output (CO) was measured by the thermodilution method. Pulmonary vascular resistance (PVR) and cardiac index (CI) were calculated by the standard formula. The World Health Organization functional class (WHO FC), 6-min walking distance (6MWD), right atrial area (RAA), right ventricular diameter (RV), pulmonary artery diameter (PA), tricuspid annular plane systolic excursion (TAPSE), N-terminal pro B-type natriuretic peptide (NT-proBNP), and RHC parameters were collected at baseline. Healthy controls did not undergo 6MWT. The WHO FC was determined by an experienced physician, and the same technician performed transthoracic echocardiography during follow-up visits.</p>
</sec>
<sec id="sec9">
<title>Risk assessment and follow-up analysis</title>
<p>All patients accepted initial dual therapy, consisting of endothelin receptor antagonists (ERAs, either macitentan or ambrisentan) and phosphodiesterase 5 inhibitors (PDE5is, either sildenafil or tadalafil). NT-proBNP, echocardiography, 6MWT, and WHO-FC were reassessed every 3&#x2013;6&#x202F;months. The risk stratification was assessed by a simplified four-strata risk-assessment tool according to the 2022 ESC/ERS PH Guidelines at baseline and at each follow-up for 12&#x202F;months (<xref ref-type="bibr" rid="ref12">12</xref>). CHD-PAH patients without defect correction were not included in the follow-up. If low risk status was not achieved within 6&#x202F;months, further treatment escalation was applied according to guideline suggestion (<xref ref-type="bibr" rid="ref12">12</xref>). Patients who reached better risk stratification or maintained low risk during follow-up were defined as responders to PAH-targeted therapy; otherwise, they were defined as non-responders.</p>
</sec>
<sec id="sec10">
<title>Statistical analysis</title>
<p>Analysis was performed with SPSS 23.0 Software (SPSS Inc., Chicago, Illinois). Normal distribution was evaluated using the Kolmogorov&#x2013;Smirnov test. Continuous variables were presented as the mean with the standard deviation when distributed normally or otherwise as the median with the first and third quartiles (Q1, Q3). Paired t-test, paired rank sum test, or the chi-squared test and Bonferroni correction were used to compare the differences between baseline and follow-up values where appropriate. Ordinal logistic regression analysis, stepwise regression analysis, and ROC curve analysis were performed to evaluate the association between pulmonary function parameters and baseline risk stratification or target therapy response. Significant differences were defined as a <italic>p</italic>-value of &#x003C; 0.05 (two-tailed test).</p>
</sec>
</sec>
<sec sec-type="results" id="sec11">
<title>Result</title>
<sec id="sec12">
<title>Characteristics differences between controls and PAH patients</title>
<p>A total of 100 control subjects and 181 PAH patients were recruited. There was no significant difference in age (40.3&#x202F;&#x00B1;&#x202F;9.7 vs. 37.9&#x202F;&#x00B1;&#x202F;12.3&#x202F;years, <italic>p</italic>&#x202F;=&#x202F;0.745), gender (female 73% vs. 80%, <italic>p</italic>&#x202F;=&#x202F;0.171), BMI (23.0&#x202F;&#x00B1;&#x202F;2.4 vs. 23.1&#x202F;&#x00B1;&#x202F;4.3&#x202F;kg/m<sup>2</sup>, <italic>p</italic>&#x202F;=&#x202F;0.707), and smoking index (1.1&#x202F;&#x00B1;&#x202F;3.8 vs. 2.9&#x202F;&#x00B1;&#x202F;9.5 pack year, <italic>p</italic>&#x202F;=&#x202F;0.064) between control subjects and PAH patients (<xref ref-type="table" rid="tab1">Table 1</xref>). PAH patients demonstrated enlarged RAA (23.6&#x202F;&#x00B1;&#x202F;11.8 vs. 16.3&#x202F;&#x00B1;&#x202F;3.4&#x202F;mm<sup>2</sup>, <italic>p</italic> <bold><italic>&#x003C;</italic></bold> 0.001), RV (34.3&#x202F;&#x00B1;&#x202F;9.3 vs. 23.7&#x202F;&#x00B1;&#x202F;2.8&#x202F;mm, <italic>p</italic> &#x003C; 0.001), and PA (30.6&#x202F;&#x00B1;&#x202F;7.2&#x202F;mm vs. 23.0&#x202F;&#x00B1;&#x202F;2.8, <italic>p</italic> &#x003C; 0.001) compared to healthy controls.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Comparison of clinical characteristics, echocardiography and pulmonary function parameters between controls and PAH patients.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top">PAH, <italic>n</italic> =&#x202F;181</th>
<th align="center" valign="top">Controls, <italic>n</italic> =&#x202F;100</th>
<th align="center" valign="top"><italic>t</italic></th>
<th align="center" valign="top"><italic>P</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Female, <italic>n</italic> (%)</td>
<td align="center" valign="middle">145 (80)</td>
<td align="center" valign="top">73 (73)</td>
<td align="center" valign="middle">1.872</td>
<td align="center" valign="middle">0.171</td>
</tr>
<tr>
<td align="left" valign="top">Age, years</td>
<td align="center" valign="middle">37.9&#x202F;&#x00B1;&#x202F;12.3</td>
<td align="center" valign="middle">40.3&#x202F;&#x00B1;&#x202F;9.7</td>
<td align="center" valign="middle">0.326</td>
<td align="center" valign="middle">0.745</td>
</tr>
<tr>
<td align="left" valign="top">BMI, kg/m<sup>2</sup></td>
<td align="center" valign="middle">23.1&#x202F;&#x00B1;&#x202F;4.3</td>
<td align="center" valign="middle">23.0&#x202F;&#x00B1;&#x202F;2.4</td>
<td align="center" valign="middle">0.376</td>
<td align="center" valign="middle">0.707</td>
</tr>
<tr>
<td align="left" valign="top">Smoking index, pack year</td>
<td align="center" valign="middle">2.9&#x202F;&#x00B1;&#x202F;9.5</td>
<td align="center" valign="middle">1.1&#x202F;&#x00B1;&#x202F;3.8</td>
<td align="center" valign="middle">1.856</td>
<td align="center" valign="middle">0.064</td>
</tr>
<tr>
<td align="left" valign="middle">RAA, cm<sup>2</sup></td>
<td align="center" valign="middle">23.6&#x202F;&#x00B1;&#x202F;11.8</td>
<td align="center" valign="middle">16.3&#x202F;&#x00B1;&#x202F;3.4</td>
<td align="center" valign="middle">6.078</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">RV, mm</td>
<td align="center" valign="middle">34.3&#x202F;&#x00B1;&#x202F;9.3</td>
<td align="center" valign="middle">23.7&#x202F;&#x00B1;&#x202F;2.8</td>
<td align="center" valign="middle">11.085</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">PA diameter, mm</td>
<td align="center" valign="middle">30.6&#x202F;&#x00B1;&#x202F;7.2</td>
<td align="center" valign="middle">23.0&#x202F;&#x00B1;&#x202F;2.8</td>
<td align="center" valign="middle">10.143</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">FVC, L</td>
<td align="center" valign="middle">2.9&#x202F;&#x00B1;&#x202F;0.7</td>
<td align="center" valign="middle">3.9&#x202F;&#x00B1;&#x202F;0.8</td>
<td align="center" valign="middle">10.568</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">FVC% pred</td>
<td align="center" valign="middle">88.4&#x202F;&#x00B1;&#x202F;15.8</td>
<td align="center" valign="middle">102.0&#x202F;&#x00B1;&#x202F;12.1</td>
<td align="center" valign="middle">7.482</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">FEV<sub>1</sub>, L</td>
<td align="center" valign="middle">2.2&#x202F;&#x00B1;&#x202F;0.6</td>
<td align="center" valign="middle">3.3&#x202F;&#x00B1;&#x202F;0.6</td>
<td align="center" valign="middle">13.282</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">FEV<sub>1</sub>% pred</td>
<td align="center" valign="middle">79.1&#x202F;&#x00B1;&#x202F;17.9</td>
<td align="center" valign="middle">99.6&#x202F;&#x00B1;&#x202F;10.9</td>
<td align="center" valign="middle">10.405</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">FEV<sub>1</sub>/FVC</td>
<td align="center" valign="middle">75.8&#x202F;&#x00B1;&#x202F;9.5</td>
<td align="center" valign="middle">84.0&#x202F;&#x00B1;&#x202F;5.2</td>
<td align="center" valign="middle">7.969</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">MEF<sub>75</sub>% pred</td>
<td align="center" valign="middle">80.8&#x202F;&#x00B1;&#x202F;28.4</td>
<td align="center" valign="middle">105.4&#x202F;&#x00B1;&#x202F;17.1</td>
<td align="center" valign="middle">7.887</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">MEF<sub>50</sub>% pred</td>
<td align="center" valign="middle">60.3&#x202F;&#x00B1;&#x202F;26.3</td>
<td align="center" valign="middle">94.3&#x202F;&#x00B1;&#x202F;23.4</td>
<td align="center" valign="middle">10.76</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">MEF<sub>25</sub>% pred</td>
<td align="center" valign="middle">44.3&#x202F;&#x00B1;&#x202F;25.6</td>
<td align="center" valign="middle">83.5&#x202F;&#x00B1;&#x202F;27.0</td>
<td align="center" valign="middle">12</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">RV% pred</td>
<td align="center" valign="middle">123.1&#x202F;&#x00B1;&#x202F;28.9</td>
<td align="center" valign="middle">114.7&#x202F;&#x00B1;&#x202F;32.7</td>
<td align="center" valign="middle">2.154</td>
<td align="center" valign="middle">0.032</td>
</tr>
<tr>
<td align="left" valign="middle">DLCO, mmol/min/kPa</td>
<td align="center" valign="middle">6.3&#x202F;&#x00B1;&#x202F;2.5</td>
<td align="center" valign="middle">8.6&#x202F;&#x00B1;&#x202F;1.6</td>
<td align="center" valign="middle">7.939</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">DLCO% pred</td>
<td align="center" valign="middle">73.2&#x202F;&#x00B1;&#x202F;23.6</td>
<td align="center" valign="middle">92.0&#x202F;&#x00B1;&#x202F;13.9</td>
<td align="center" valign="middle">6.836</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">Fres, L/s &#x00A7;</td>
<td align="center" valign="middle">16.1&#x202F;&#x00B1;&#x202F;5.7</td>
<td align="center" valign="middle">14.6&#x202F;&#x00B1;&#x202F;4</td>
<td align="center" valign="middle">1.986</td>
<td align="center" valign="middle">0.049</td>
</tr>
<tr>
<td align="left" valign="middle">Z5, kPa/(L/s) &#x00A7;</td>
<td align="center" valign="middle">0.4&#x202F;&#x00B1;&#x202F;0.2</td>
<td align="center" valign="middle">0.4&#x202F;&#x00B1;&#x202F;0.1</td>
<td align="center" valign="middle">1.049</td>
<td align="center" valign="middle">0.296</td>
</tr>
<tr>
<td align="left" valign="middle">R5, kPa/(L/s) &#x00A7;</td>
<td align="center" valign="middle">0.4&#x202F;&#x00B1;&#x202F;0.1</td>
<td align="center" valign="middle">0.4&#x202F;&#x00B1;&#x202F;0.1</td>
<td align="center" valign="middle">0.704</td>
<td align="center" valign="middle">0.482</td>
</tr>
<tr>
<td align="left" valign="middle">R20, kPa/(L/s) &#x00A7;</td>
<td align="center" valign="middle">0.3&#x202F;&#x00B1;&#x202F;0.1</td>
<td align="center" valign="middle">0.3&#x202F;&#x00B1;&#x202F;0.1</td>
<td align="center" valign="middle">1.025</td>
<td align="center" valign="middle">0.307</td>
</tr>
<tr>
<td align="left" valign="middle">X5, kPa/(L/s) &#x00A7;</td>
<td align="center" valign="middle">&#x2212;0.10&#x202F;&#x00B1;&#x202F;0.1</td>
<td align="center" valign="middle">&#x2212;0.12&#x202F;&#x00B1;&#x202F;0.1</td>
<td align="center" valign="middle">2.059</td>
<td align="center" valign="middle">0.041</td>
</tr>
<tr>
<td align="left" valign="middle">R5-R20% &#x00A7;</td>
<td align="center" valign="middle">24.3&#x202F;&#x00B1;&#x202F;13.6</td>
<td align="center" valign="middle">21.3&#x202F;&#x00B1;&#x202F;12.3</td>
<td align="center" valign="middle">1.54</td>
<td align="center" valign="middle">0.125</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>BMI, body mass index; RAA, area of right atrium; RV, right ventricular diameter; PA, pulmonary artery; FVC, forced vital capacity; % pred, % predicted; FEV<sub>1</sub>, forced expiratory volume in 1&#x202F;s; MEF<sub>75</sub>, maximal expiratory flow at 75%, MEF<sub>50</sub>, maximal expiratory flow at 50%, MEF<sub>25</sub>, maximal expiratory flow at 25%; PEF, peak expiratory flow; VC, vital capacity; TLC, total lung capacity; RV, residual volume; DLCO, diffusion capacity for carbon monoxide; Fres, resonant frequency; Z5, impedance at 5&#x202F;Hz; R5, resistance at 5&#x202F;Hz; R5-R20, heterogeneity of resistance; X5, reactance at 5&#x202F;Hz; &#x00A7; partial data missed, <italic>n</italic>&#x202F;=&#x202F;108.</p>
</table-wrap-foot>
</table-wrap>
<p>As shown in <xref ref-type="table" rid="tab1">Table 1</xref>, PAH patients showed decreased FVC (2.9&#x202F;&#x00B1;&#x202F;0.7 vs. 3.9&#x202F;&#x00B1;&#x202F;0.8, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001), FVC% pred (88.4&#x202F;&#x00B1;&#x202F;15.8 vs. 102.0&#x202F;&#x00B1;&#x202F;12.1, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001), FEV<sub>1</sub> (2.2&#x202F;&#x00B1;&#x202F;0.6 vs. 3.3&#x202F;&#x00B1;&#x202F;0.6, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001), FEV<sub>1</sub>% pred (79.1&#x202F;&#x00B1;&#x202F;17.9 vs. 99.6&#x202F;&#x00B1;&#x202F;10.9, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001), FEV<sub>1</sub>/FVC (75.8&#x202F;&#x00B1;&#x202F;9.5 vs. 84.0&#x202F;&#x00B1;&#x202F;5.2, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001), maximal expiratory flow (MEF)% pred at 75% (MEF<sub>75</sub>% pred, 80.8&#x202F;&#x00B1;&#x202F;28.4 vs. 105.4&#x202F;&#x00B1;&#x202F;17.1, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001), 50% (MEF<sub>50</sub>% pred, 60.3&#x202F;&#x00B1;&#x202F;26.3 vs. 94.3&#x202F;&#x00B1;&#x202F;23.4, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001), and 25% (MEF<sub>25</sub>% pred,44.3&#x202F;&#x00B1;&#x202F;25.6 vs. 83.5&#x202F;&#x00B1;&#x202F;27.0, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) compared with those of controls. Moreover, 143 (79.0%) PAH patients demonstrated FEV<sub>1</sub>/FVC&#x202F;&#x003C;&#x202F;70% whereas all controls demonstrated FEV<sub>1</sub>/FVC&#x202F;&#x2265;&#x202F;70%. The single-breath DLCO (6.3&#x202F;&#x00B1;&#x202F;2.5 vs. 8.6&#x202F;&#x00B1;&#x202F;1.6&#x202F;mmol/min/kPa, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) and DLCO % pred (73.2&#x202F;&#x00B1;&#x202F;23.6% vs. 92.0&#x202F;&#x00B1;&#x202F;13.9%, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) of PAH patients were also significantly lower than those of controls. There were 134 (74.0%) PAH patients and 11 (11%) controls with DLCO% pred &#x003C;80%.</p>
<p>All 108 patients and 100 control subjects completed IOS. There was a significant increase in the resonant frequency (Fres) (16.1&#x202F;&#x00B1;&#x202F;5.7 vs. 14.6&#x202F;&#x00B1;&#x202F;4.0, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) and peripheral elastic resistance, which was shown by the negative value increase of reactance at 5&#x202F;Hz (X5) of PAH patients compared with those of controls (&#x2212;0.12&#x202F;&#x00B1;&#x202F;0.10 vs. &#x2212;0.10&#x202F;&#x00B1;&#x202F;0.05, <italic>p</italic>&#x202F;=&#x202F;0.041, as shown in <xref ref-type="table" rid="tab1">Table 1</xref>).</p>
</sec>
<sec id="sec13">
<title>Pulmonary function comparison among different PAH etiologies</title>
<p>There were 40 patients with IPAH, 22 patients with heritable PAH, 69 patients with CHD-PAH (34 patients with correction operation, including 6 patients with transcatheter intervention operation and 28 patients with surgery) and 50 patients with CTD-PAH (15 patients with systemic lupus erythematosus, 3 patients with systemic scleroderma, 6 patients with Sjogren syndrome, 2 patients with rheumatoid arthritis, 1 patient with aorto-arteritis, and 23 patients with undifferentiated connective tissue disease). IPAH and HPAH were pooled as the IPAH/HPAH group for analysis because they share near-identical clinical phenotypes and treatment responses according to ESC/ERS guidelines (<xref ref-type="bibr" rid="ref12">12</xref>). Compared to the CTD-PAH or CHD-PAH group, the IPAH/HPAH group showed much higher mPAP (50.0 (39.3, 60.0) vs. 34.5 (29.8, 43.3) vs. 46.0 (32.8, 61.0) mmHg, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001), PVR (9.5 (6.4, 13.0) vs. 5.1 (3.4, 7.7) vs. 5.2 (2.8, 10.1) WU, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001), and lower CI (2.8 (2.3, 3.5) vs. 3.4 (2.8, 4.1) vs. 2.9 (2.4, 4.0) L/min/m<sup>2</sup>, <italic>p</italic>&#x202F;=&#x202F;0.006) (<xref ref-type="table" rid="tab2">Table 2</xref>).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Comparison of clinical characteristics, echocardiography, hemodynamics, exercise tolerance and pulmonary function parameters among PAH patients with different etiology.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top">IPAH/HPAH, <italic>n</italic> =&#x202F;62</th>
<th align="center" valign="top">CHD-PAH, <italic>n</italic> =&#x202F;69</th>
<th align="center" valign="top">CTD-PAH, <italic>n</italic> =&#x202F;50</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Female, <italic>n</italic> (%)</td>
<td align="center" valign="top">54 (87)</td>
<td align="center" valign="top">48 (70)</td>
<td align="center" valign="top">43 (86)</td>
</tr>
<tr>
<td align="left" valign="top">Age, years</td>
<td align="center" valign="middle">35.1&#x202F;&#x00B1;&#x202F;10.4</td>
<td align="center" valign="middle">37&#x202F;&#x00B1;&#x202F;11.8</td>
<td align="center" valign="middle">42.6&#x202F;&#x00B1;&#x202F;14.0&#x002A;</td>
</tr>
<tr>
<td align="left" valign="top">Smoking index, pack year</td>
<td align="center" valign="middle">1&#x202F;&#x00B1;&#x202F;4.6</td>
<td align="center" valign="middle">3.7&#x202F;&#x00B1;&#x202F;10.3</td>
<td align="center" valign="middle">4.2&#x202F;&#x00B1;&#x202F;12.3</td>
</tr>
<tr>
<td align="left" valign="middle">RAA, cm<sup>2</sup></td>
<td align="center" valign="middle">24.7&#x202F;&#x00B1;&#x202F;11.2</td>
<td align="center" valign="middle">25.9&#x202F;&#x00B1;&#x202F;13.7</td>
<td align="center" valign="middle">19.2&#x202F;&#x00B1;&#x202F;7.9#</td>
</tr>
<tr>
<td align="left" valign="middle">RV, mm</td>
<td align="center" valign="middle">35.9&#x202F;&#x00B1;&#x202F;9.2</td>
<td align="center" valign="middle">35.3&#x202F;&#x00B1;&#x202F;10.1</td>
<td align="center" valign="middle">30.8&#x202F;&#x00B1;&#x202F;7.3&#x002A;</td>
</tr>
<tr>
<td align="left" valign="middle">PA diameter, mm</td>
<td align="center" valign="top">28 (25, 31.5)</td>
<td align="center" valign="top">32 (27, 38)&#x002A;</td>
<td align="center" valign="top">28 (25, 31)#</td>
</tr>
<tr>
<td align="left" valign="middle">sPAP, mmHg</td>
<td align="center" valign="top">82 (62.3, 99)</td>
<td align="center" valign="top">71.5 (48, 91.5)&#x002A;</td>
<td align="center" valign="top">53.5 (42.8, 70.3)&#x002A;#</td>
</tr>
<tr>
<td align="left" valign="middle">dPAP, mmHg</td>
<td align="center" valign="top">33 (26.3, 39)</td>
<td align="center" valign="top">26.5 (20, 41.3)</td>
<td align="center" valign="top">21 (18, 27)&#x002A;#</td>
</tr>
<tr>
<td align="left" valign="middle">mPAP, mmHg</td>
<td align="center" valign="top">50 (39.3, 60)</td>
<td align="center" valign="top">46 (32.8, 61)</td>
<td align="center" valign="top">34.5 (29.8, 43.3)&#x002A;#</td>
</tr>
<tr>
<td align="left" valign="middle">PAWP</td>
<td align="center" valign="middle">7.61&#x202F;&#x00B1;&#x202F;2.71</td>
<td align="center" valign="middle">8.0&#x202F;&#x00B1;&#x202F;3.15</td>
<td align="center" valign="middle">8.58&#x202F;&#x00B1;&#x202F;5.35</td>
</tr>
<tr>
<td align="left" valign="middle">RAP</td>
<td align="center" valign="middle">5.37&#x202F;&#x00B1;&#x202F;3.34</td>
<td align="center" valign="middle">6.12&#x202F;&#x00B1;&#x202F;3.44</td>
<td align="center" valign="middle">4.14&#x202F;&#x00B1;&#x202F;2.89#</td>
</tr>
<tr>
<td align="left" valign="middle">PVR, Wood U</td>
<td align="center" valign="top">9.5 (6.4, 13.0)</td>
<td align="center" valign="top">5.2 (2.8, 10.1)&#x002A;</td>
<td align="center" valign="top">5.1 (3.4, 7.7)&#x002A;</td>
</tr>
<tr>
<td align="left" valign="middle">CI, L/min/m<sup>2</sup></td>
<td align="center" valign="top">2.8 (2.3, 3.5)</td>
<td align="center" valign="top">2.9 (2.4, 4.0) &#x203B;</td>
<td align="center" valign="top">3.4 (2.8, 4.1)&#x002A;</td>
</tr>
<tr>
<td align="left" valign="middle">6MWD, m</td>
<td align="center" valign="middle">436.8&#x202F;&#x00B1;&#x202F;104.6</td>
<td align="center" valign="middle">457.1&#x202F;&#x00B1;&#x202F;89.9</td>
<td align="center" valign="middle">463.4&#x202F;&#x00B1;&#x202F;78.9</td>
</tr>
<tr>
<td align="left" valign="middle">WHO FC (I-II/III-IV)</td>
<td align="center" valign="top">22/39</td>
<td align="center" valign="top">43/26&#x002A;</td>
<td align="center" valign="top">28/18</td>
</tr>
<tr>
<td align="left" valign="top">NT-proBNP, pg./ml</td>
<td align="center" valign="middle">846.5&#x202F;&#x00B1;&#x202F;848</td>
<td align="center" valign="middle">985.9&#x202F;&#x00B1;&#x202F;2223.6</td>
<td align="center" valign="middle">453.9&#x202F;&#x00B1;&#x202F;821.1</td>
</tr>
<tr>
<td align="left" valign="top">TAPSE, mm</td>
<td align="center" valign="middle">18.1&#x202F;&#x00B1;&#x202F;3.7</td>
<td align="center" valign="middle">17.3&#x202F;&#x00B1;&#x202F;4.5</td>
<td align="center" valign="middle">19.8&#x202F;&#x00B1;&#x202F;3.7</td>
</tr>
<tr>
<td align="left" valign="middle">FVC, L</td>
<td align="center" valign="middle">3.1&#x202F;&#x00B1;&#x202F;0.6</td>
<td align="center" valign="middle">2.8&#x202F;&#x00B1;&#x202F;0.8</td>
<td align="center" valign="middle">2.9&#x202F;&#x00B1;&#x202F;0.7</td>
</tr>
<tr>
<td align="left" valign="middle">FVC% pred</td>
<td align="center" valign="middle">94.2&#x202F;&#x00B1;&#x202F;15.3</td>
<td align="center" valign="middle">80.5&#x202F;&#x00B1;&#x202F;13.5&#x002A;</td>
<td align="center" valign="middle">92.1&#x202F;&#x00B1;&#x202F;15.3#</td>
</tr>
<tr>
<td align="left" valign="middle">FEV<sub>1</sub>, L</td>
<td align="center" valign="middle">2.5&#x202F;&#x00B1;&#x202F;0.5</td>
<td align="center" valign="middle">2.0&#x202F;&#x00B1;&#x202F;0.6&#x002A;</td>
<td align="center" valign="middle">2.3&#x202F;&#x00B1;&#x202F;0.6#</td>
</tr>
<tr>
<td align="left" valign="middle">FEV<sub>1</sub>% pred</td>
<td align="center" valign="middle">88.1&#x202F;&#x00B1;&#x202F;13.8</td>
<td align="center" valign="middle">67.2&#x202F;&#x00B1;&#x202F;15.7&#x002A;</td>
<td align="center" valign="middle">84.5&#x202F;&#x00B1;&#x202F;16.3#</td>
</tr>
<tr>
<td align="left" valign="middle">FEV<sub>1</sub>/FVC</td>
<td align="center" valign="top">80.0 (76.1, 84.6)</td>
<td align="center" valign="middle">70.8 (65.0, 77.9)&#x002A;</td>
<td align="center" valign="top">78.8 (75.1, 83.2)#</td>
</tr>
<tr>
<td align="left" valign="middle">MEF<sub>75</sub>% pred</td>
<td align="center" valign="top">96.9 (86.5, 106.9)</td>
<td align="center" valign="top">61.9 (43.4, 79.1)&#x002A;</td>
<td align="center" valign="top">91.0 (76.9, 108.3)#</td>
</tr>
<tr>
<td align="left" valign="middle">MEF<sub>50</sub>% pred</td>
<td align="center" valign="middle">69.6 (58.7, 85.9)</td>
<td align="center" valign="middle">43.5 (28.1, 53.7)&#x002A;</td>
<td align="center" valign="middle">72.2 (51.6, 90.5)#</td>
</tr>
<tr>
<td align="left" valign="middle">MEF<sub>25</sub>% pred</td>
<td align="center" valign="middle">51.7 (33.8, 68.9)</td>
<td align="center" valign="middle">28.1 (18.8, 37.2)&#x002A;</td>
<td align="center" valign="top">46.3 (28.2, 61.1)#</td>
</tr>
<tr>
<td align="left" valign="middle">TLC% pred</td>
<td align="center" valign="middle">101.1&#x202F;&#x00B1;&#x202F;12.5</td>
<td align="center" valign="middle">92.1&#x202F;&#x00B1;&#x202F;16.9&#x002A;</td>
<td align="center" valign="middle">91.4&#x202F;&#x00B1;&#x202F;10.9&#x002A;</td>
</tr>
<tr>
<td align="left" valign="middle">DLCO, mmol/min/kPa</td>
<td align="center" valign="middle">5.6 (4.9, 7.0)</td>
<td align="center" valign="middle">6.8 (5.5, 8.3)&#x002A;</td>
<td align="center" valign="middle">5.2 (4.1, 5.9)#</td>
</tr>
<tr>
<td align="left" valign="middle">DLCO% pred</td>
<td align="center" valign="middle">67.8 (58.9, 77.2)</td>
<td align="center" valign="top">80.4 (69.4, 97.5)&#x002A;</td>
<td align="center" valign="top">63.1 (50.9, 74.6)#</td>
</tr>
<tr>
<td align="left" valign="middle">Fres, l/s &#x00A7;</td>
<td align="center" valign="middle">12.8&#x202F;&#x00B1;&#x202F;4.3</td>
<td align="center" valign="middle">19&#x202F;&#x00B1;&#x202F;6.1&#x002A;</td>
<td align="center" valign="middle">14.7&#x202F;&#x00B1;&#x202F;3.9#</td>
</tr>
<tr>
<td align="left" valign="middle">Z5, kPa/(L/s) &#x00A7;</td>
<td align="center" valign="middle">0.4&#x202F;&#x00B1;&#x202F;0.1</td>
<td align="center" valign="middle">0.5&#x202F;&#x00B1;&#x202F;0.2&#x002A;</td>
<td align="center" valign="middle">0.4&#x202F;&#x00B1;&#x202F;0.1</td>
</tr>
<tr>
<td align="left" valign="middle">R5, kPa/(L/s) &#x00A7;</td>
<td align="center" valign="middle">0.3&#x202F;&#x00B1;&#x202F;0.1</td>
<td align="center" valign="middle">0.5&#x202F;&#x00B1;&#x202F;0.2&#x002A;</td>
<td align="center" valign="middle">0.4&#x202F;&#x00B1;&#x202F;0.1</td>
</tr>
<tr>
<td align="left" valign="middle">R20, kPa/(L/s) &#x00A7;</td>
<td align="center" valign="middle">0.3&#x202F;&#x00B1;&#x202F;0.1</td>
<td align="center" valign="middle">0.3&#x202F;&#x00B1;&#x202F;0.1</td>
<td align="center" valign="middle">0.3&#x202F;&#x00B1;&#x202F;0.1</td>
</tr>
<tr>
<td align="left" valign="middle">X5, kPa/(L/s) &#x00A7;</td>
<td align="center" valign="middle">&#x2212;0.1&#x202F;&#x00B1;&#x202F;0</td>
<td align="center" valign="middle">&#x2212;0.1&#x202F;&#x00B1;&#x202F;0.1</td>
<td align="center" valign="middle">&#x2212;0.1&#x202F;&#x00B1;&#x202F;0</td>
</tr>
<tr>
<td align="left" valign="middle">R5-R20% &#x00A7;</td>
<td align="center" valign="middle">17.2&#x202F;&#x00B1;&#x202F;12.1</td>
<td align="center" valign="middle">30.6&#x202F;&#x00B1;&#x202F;12.9&#x002A;</td>
<td align="center" valign="middle">21.3&#x202F;&#x00B1;&#x202F;12#</td>
</tr>
<tr>
<td align="left" valign="middle">FVC% pred&#x003C;80%</td>
<td align="center" valign="middle">7 (11.3%)</td>
<td align="center" valign="middle">26 (37.7%)&#x002A;</td>
<td align="center" valign="middle">8 (16.0%)#</td>
</tr>
<tr>
<td align="left" valign="middle">FEV<sub>1</sub>% pred&#x003C;80%</td>
<td align="center" valign="middle">13 (21.0%)</td>
<td align="center" valign="middle">53 (76.8%)&#x002A;</td>
<td align="center" valign="middle">16 (32.0%)#</td>
</tr>
<tr>
<td align="left" valign="middle">DLCO% pred&#x003C;80%</td>
<td align="center" valign="middle">43 (69.4%)</td>
<td align="center" valign="middle">29 (42.0%)&#x002A;</td>
<td align="center" valign="middle">44 (88.0%)#</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>BMI, body mass index; RAA, area of right atrium; RV, right ventricular diameter; PA, pulmonary artery; sPAP, systolic pulmonary arterial pressure; dPAP, diastolic pulmonary arterial pressure; mPAP, mean pulmonary arterial pressure; PAWP, pulmonary artery wedge pressure; RAP, right atrial pressure; PVR, pulmonary vascular resistance; CO, cardiac output; CI, cardiac index; 6MWD, six-minute walk distance; WHO FC, World Health Organization classification of cardiac function; NT-proBNP, N-terminal pro B-type natriuretic peptide; FVC, forced vital capacity; % pred, % predicted; FEV<sub>1</sub>, forced expiratory volume in 1&#x202F;s; MEF<sub>75</sub>, maximal expiratory flow at 75%, MEF<sub>50</sub>, maximal expiratory flow at 50%, MEF25, maximal expiratory flow at 25%; PEF, peak expiratory flow; VC, vital capacity; TLC, total lung capacity; RV, residual volume; DLCO, diffusion capacity for carbon monoxide; Fres, resonant frequency; Z5, impedance at 5&#x202F;Hz; R5, resistance at 5&#x202F;Hz; R5-R20, heterogeneity of resistance; X5, reactance at 5&#x202F;Hz. &#x203B;partial data missed, <italic>n</italic>&#x202F;=&#x202F;34. &#x00A7; partial data missed, <italic>n</italic>&#x202F;=&#x202F;108. After Bonferroni corrected the <italic>P</italic> value, &#x002A; means difference statistically significant vs. IPAH group using one-way ANOVA, Chi-square test or Kruskal-Wallis test. # means difference statistically significant vs. CHD-APAH group using one-way ANOVA, Chi-square test or Kruskal-Wallis test.</p>
</table-wrap-foot>
</table-wrap>
<p>CHD-PAH patients had lowest FEV<sub>1</sub> (2.0&#x202F;&#x00B1;&#x202F;0.6&#x202F;L vs. 2.5&#x202F;&#x00B1;&#x202F;0.5 vs. 2.3&#x202F;&#x00B1;&#x202F;0.6, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001), FEV<sub>1</sub>%pred (67.2&#x202F;&#x00B1;&#x202F;15.7 vs. 88.1&#x202F;&#x00B1;&#x202F;13.8 vs. 84.5&#x202F;&#x00B1;&#x202F;16.3, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001), FVC% pred (80.5&#x202F;&#x00B1;&#x202F;13.5 vs. 94.2&#x202F;&#x00B1;&#x202F;15.3 vs. 92.1&#x202F;&#x00B1;&#x202F;15.3, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001), MEF<sub>75</sub>% pred (61.9 (43.4, 79.1) vs. 96.9 (86.5, 106.9) vs. 91.0 (76.9,108.3), <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001), MEF<sub>50</sub>% pred (43.5 (28.1, 53.7) vs. 69.6 (58.7, 85.9) vs. 72.2 (51.6, 90.5), <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001), and MEF<sub>25</sub>% pred (28.1 (18.8, 37.2) vs. 51.7 (33.8, 68.9) vs. 46.3 (28.2, 61.1), <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) compared to IPAH/HPAH and CTD-PAH patients. There were 26 (37.7%) CHD-PAH patients with FVC% pred &#x003C;80%, compared to 7 (11.3%) in IPAH/HPAH patients or 8 (16%) in CTD-PAH patients (<italic>p</italic>&#x202F;=&#x202F;0.001). Similar findings were observed for FEV<sub>1</sub>% pred&#x003C;80% (76.8% vs. 21.0% vs. 32.0%, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001). In contrast, CHD-PAH patients demonstrated much higher DLCO (6.8 (5.5, 8.3) vs. 5.6 (4.9, 7.0) vs. 5.2 (4.1, 5.9), <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) and DLCO% pred (80.4 (69.4, 97.5) vs. 67.8 (58.9, 77.2) vs. 63.1 (50.9, 74.6), <italic>p</italic>&#x202F;&#x003C;&#x202F;0.001) compared to the IPAH/HPAH and CTD-PAH groups (<xref ref-type="table" rid="tab2">Table 2</xref>).</p>
<p>There were significant differences in the Fres, impedance at 5&#x202F;Hz (Z5), resistance at 5&#x202F;Hz (R5), and heterogeneity of resistance (R5&#x2013;R20) among the three groups (<xref ref-type="table" rid="tab2">Table 2</xref>). The peripheral airway resistance, as represented by R5&#x2013;R20, was significantly higher in CHD-PAH patients than in IPAH/HPAH and CTD-PAH patients (30.6&#x202F;&#x00B1;&#x202F;12.9 vs. 17.2&#x202F;&#x00B1;&#x202F;12.1 vs. 21.3&#x202F;&#x00B1;&#x202F;12.0, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.01).</p>
</sec>
<sec id="sec14">
<title>Correlations between pulmonary function and baseline characteristics</title>
<p>As shown in <xref ref-type="fig" rid="fig1">Figure 1</xref>, the 6MWD positively related with FEV1 (r&#x202F;=&#x202F;0.353, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.01) and FVC (r&#x202F;=&#x202F;0.373, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.01), respectively. FEV1% pred and FVC% pred were negatively correlated with RA area (Rho&#x202F;=&#x202F;&#x2212;0.261, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.01 for FEV1% pred and Rho&#x202F;=&#x202F;&#x2212;0.281, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.01 for FVC% pred). RV% pred positively correlated with mPAP (Rho&#x202F;=&#x202F;0.135, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). DLCO% pred negatively correlated with PVR (Rho&#x202F;=&#x202F;&#x2212;0.294, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.01).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Correlations between pulmonary function test indices and hemodynamic, exercise capacity, and echocardiogram parameters in PAH patients.</p>
</caption>
<graphic xlink:href="fmed-12-1616252-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Heatmap showing correlations between pulmonary metrics and cardiovascular parameters. Axes label pulmonary metrics like DLCO, FEV1, FVC, and cardiovascular parameters like 6MWD, CI, and dPAP. Color scale ranges from blue to light green, indicating strength of correlation from -0.2 to 0.2.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec15">
<title>Relationship between baseline pulmonary function test and target therapy response</title>
<p>A total of 129 patients were enrolled in the follow-up program after excluding 35 uncorrected CHD-PAH patients per protocol, and 17 patients were lost to follow-up before the first visit. Of those 129 enrolled patients, 104 patients completed 1-year follow-up and 25 patients discontinued follow-up prior to study completion. No mortality was observed during this period. None were smokers. A total of 81 patients were classified as responders, while 23 were identified as non-responders. No statistically significant differences in age or sex were observed between these two groups, as shown in <xref ref-type="table" rid="tab3">Table 3</xref>. In comparison to responders, the non-responder group comprised fewer CTD-PAH patients (4.3% vs. 37.1%, <italic>p</italic>&#x202F;=&#x202F;0.01). However, a significant difference was noted between the etiologies of PAH and baseline risk status. Non-responders also exhibited lower FVC% pred (83.7&#x202F;&#x00B1;&#x202F;12% vs. 94.3&#x202F;&#x00B1;&#x202F;15.8%, <italic>p</italic>&#x202F;=&#x202F;0.004), FEV1% pred (77.1&#x202F;&#x00B1;&#x202F;13.5% vs. 87.3&#x202F;&#x00B1;&#x202F;16.1%, <italic>p</italic>&#x202F;=&#x202F;0.008) and TLC% (91.4&#x202F;&#x00B1;&#x202F;8 vs. 98.7&#x202F;&#x00B1;&#x202F;13, <italic>p</italic>&#x202F;=&#x202F;0.047), as shown in <xref ref-type="table" rid="tab3">Table 3</xref>. Further stepwise logistic analysis considering disease etiology and baseline risk status revealed that FVC% pred (OR&#x202F;=&#x202F;1.067, <italic>p</italic>&#x202F;=&#x202F;0.002, 95% CI: 1.024&#x2013;1.110) was an independent predictor for non-responders. The ROC curve analysis identified 82% as the FVC% pred cutoff point to distinguish non-responders (95% CI: 0.616&#x2013;0.841). The odds ratio for decreased responsiveness to target therapy in patients with FVC% pred &#x003C; 82% at baseline was 10.553 (<italic>p</italic>&#x202F;=&#x202F;0.000, 95% CI: 2.580&#x2013;43.165), as presented in <xref ref-type="table" rid="tab4">Table 4</xref>.</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Baseline characteristics of target therapy responders.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="center" valign="top">Responder, <italic>n</italic> =&#x202F;81</th>
<th align="center" valign="top">Non-responder, <italic>n</italic> =&#x202F;23</th>
<th align="center" valign="top"><italic>P</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Male, <italic>n</italic> (%)</td>
<td align="center" valign="middle">16 (19.8)</td>
<td align="center" valign="middle">3 (13)</td>
<td align="center" valign="middle">0.462</td>
</tr>
<tr>
<td align="left" valign="middle">Age, years</td>
<td align="center" valign="top">35 (30, 40.5)</td>
<td align="center" valign="middle">30 (23, 42)</td>
<td align="center" valign="top">0.121</td>
</tr>
<tr>
<td align="left" valign="middle">Etiology, <italic>n</italic> (%)</td>
<td/>
<td/>
<td align="center" valign="middle">0.01</td>
</tr>
<tr>
<td align="left" valign="middle">IPAH/HPAH</td>
<td align="center" valign="middle">39 (48.1)</td>
<td align="center" valign="middle">16 (69.6)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">CHD-PAH</td>
<td align="center" valign="middle">12 (14.8)</td>
<td align="center" valign="middle">6 (26.1)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">CTD-PAH</td>
<td align="center" valign="middle">30 (37.1)</td>
<td align="center" valign="middle">1 (4.3)</td>
<td/>
</tr>
<tr>
<td align="left" valign="middle">mPAP, mmHg</td>
<td align="center" valign="middle">40 (32, 51.5)</td>
<td align="center" valign="middle">55 (39, 72)</td>
<td align="center" valign="middle">0.004</td>
</tr>
<tr>
<td align="left" valign="middle">PVR, Wood U</td>
<td align="center" valign="middle">6 (4.2, 9.6)</td>
<td align="center" valign="middle">12.2 (8.1, 15)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">CI, L/min/m<sup>2</sup></td>
<td align="center" valign="middle">3.3&#x202F;&#x00B1;&#x202F;0.9</td>
<td align="center" valign="middle">2.6&#x202F;&#x00B1;&#x202F;0.7</td>
<td align="center" valign="middle">0.002</td>
</tr>
<tr>
<td align="left" valign="middle">SvO<sub>2</sub>, %</td>
<td align="center" valign="middle">70.3&#x202F;&#x00B1;&#x202F;7.5</td>
<td align="center" valign="middle">62.4&#x202F;&#x00B1;&#x202F;7.7</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">6MWD, m</td>
<td align="center" valign="middle">471.2&#x202F;&#x00B1;&#x202F;86.4</td>
<td align="center" valign="middle">405.9&#x202F;&#x00B1;&#x202F;108</td>
<td align="center" valign="middle">0.006</td>
</tr>
<tr>
<td align="left" valign="middle">WHO FC I/II</td>
<td align="center" valign="middle">53 (65.4)</td>
<td align="center" valign="middle">8 (34.8)</td>
<td align="center" valign="middle">0.008</td>
</tr>
<tr>
<td align="left" valign="top">NT-proBNP, pg./ml</td>
<td align="center" valign="middle">137 (74, 457)</td>
<td align="center" valign="middle">1, 070 (427, 1860)</td>
<td align="center" valign="middle">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="middle">FVC, L</td>
<td align="center" valign="middle">3.1&#x202F;&#x00B1;&#x202F;0.7</td>
<td align="center" valign="middle">2.7&#x202F;&#x00B1;&#x202F;0.6</td>
<td align="center" valign="middle">0.018</td>
</tr>
<tr>
<td align="left" valign="middle">FVC% pred</td>
<td align="center" valign="middle">94.3&#x202F;&#x00B1;&#x202F;15.8</td>
<td align="center" valign="middle">83.7&#x202F;&#x00B1;&#x202F;12</td>
<td align="center" valign="middle">0.004</td>
</tr>
<tr>
<td align="left" valign="middle">FEV<sub>1</sub>, L</td>
<td align="center" valign="middle">2.5&#x202F;&#x00B1;&#x202F;0.6</td>
<td align="center" valign="middle">2.2&#x202F;&#x00B1;&#x202F;0.6</td>
<td align="center" valign="middle">0.018</td>
</tr>
<tr>
<td align="left" valign="middle">FEV<sub>1</sub>% pred</td>
<td align="center" valign="middle">87.3&#x202F;&#x00B1;&#x202F;16.1</td>
<td align="center" valign="middle">77.1&#x202F;&#x00B1;&#x202F;13.5</td>
<td align="center" valign="middle">0.008</td>
</tr>
<tr>
<td align="left" valign="middle">FEV<sub>1</sub>/FVC</td>
<td align="center" valign="middle">79&#x202F;&#x00B1;&#x202F;7.9</td>
<td align="center" valign="middle">78.9&#x202F;&#x00B1;&#x202F;6.5</td>
<td align="center" valign="middle">0.939</td>
</tr>
<tr>
<td align="left" valign="middle">TLC% pred</td>
<td align="center" valign="middle">98.7&#x202F;&#x00B1;&#x202F;13.4</td>
<td align="center" valign="middle">91.4&#x202F;&#x00B1;&#x202F;8.4</td>
<td align="center" valign="middle">0.047</td>
</tr>
<tr>
<td align="left" valign="middle">DLCO% pred</td>
<td align="center" valign="middle">67.7&#x202F;&#x00B1;&#x202F;17.7</td>
<td align="center" valign="middle">67.7&#x202F;&#x00B1;&#x202F;15.2</td>
<td align="center" valign="middle">0.991</td>
</tr>
<tr>
<td align="left" valign="middle">DLCO, mmol/min/kPa</td>
<td align="center" valign="middle">5.4 (4.8, 6.4)</td>
<td align="center" valign="middle">5.9 (4.7, 8)</td>
<td align="center" valign="middle">0.301</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><italic>P</italic> &#x003C;&#x202F;0.05 means the difference statistically significant. mPAP, mean pulmonary arterial pressure; PVR, pulmonary vascular resistance; CI, cardiac index; 6MWD, six-minute walk distance; WHO FC, World Health Organization classification of cardiac function; NT-proBNP, N-terminal pro brfrwedain natriuretic peptide; FVC, forced vital capacity; % pred, % predicted; FEV<sub>1</sub>, forced expiratory volume in 1&#x202F;s; TLC, total lung capacity; DLCO, diffusion capacity for carbon monoxide.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Predictors of target therapy non-responder by logistic analysis.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Predictors</th>
<th align="center" valign="top" colspan="3">Non-responder</th>
</tr>
<tr>
<th align="left" valign="top">Multivariate</th>
<th align="center" valign="top">OR</th>
<th align="center" valign="top">95% CI</th>
<th align="center" valign="top"><italic>p</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Etiology</td>
<td align="center" valign="top">2.656</td>
<td align="center" valign="top">1.054&#x2013;6.690</td>
<td align="center" valign="top">0.038</td>
</tr>
<tr>
<td align="left" valign="top">Medium/high risk status at baseline</td>
<td align="center" valign="top">6.799</td>
<td align="center" valign="top">1.683&#x2013;27.460</td>
<td align="center" valign="top">0.007</td>
</tr>
<tr>
<td align="left" valign="top">FVC% pred &#x003C; 82%</td>
<td align="center" valign="top">10.553</td>
<td align="center" valign="top">2.580&#x2013;43.165</td>
<td align="center" valign="top">0.001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>OR: odd ratio; CI: confidence interval; FVC, forced vital capacity; % pred, % predicted.</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="sec16">
<title>Discussion</title>
<p>PAH typically exhibits normal or mild restrictive, obstructive, or combined pulmonary function abnormalities (<xref ref-type="bibr" rid="ref18 ref19 ref20">18&#x2013;20</xref>). In the present study, we observed that pulmonary function impairment was associated with different PAH etiologies. CHD-PAH patients demonstrated more severe obstructive ventilation impairment, while CTD-PAH patients exhibited more severe diffusion function impairment, consistent with previous findings (<xref ref-type="bibr" rid="ref9">9</xref>).</p>
<p>Diffusion capacity of the lung (DL) represents the ability of the lungs to transfer gas from the alveolar space to the red blood cells in pulmonary vessels. Patients with IPAH who are over 50&#x202F;years of age, male, have a history of smoking, and present with concomitant coronary disease are more likely to exhibit impaired diffusing capacity for carbon monoxide (DLCO) (<xref ref-type="bibr" rid="ref7">7</xref>). These patients demonstrate reduced exercise performance despite a comparable hemodynamic profile. Farha et al. observed that lung diffusing capacity for nitric oxide (DLNO), but not carbon monoxide (DLCO), decreased in patients with pulmonary arterial hypertension (PAH) over time, indicating a deterioration in the efficiency of the alveolar-capillary unit in PAH (<xref ref-type="bibr" rid="ref21">21</xref>). Despite exhibiting poorer baseline oxygenation, patients with IPAH and severely reduced DLCO (&#x003C;43%) demonstrated a comparable response to PAH-targeted therapy as those with moderately reduced or preserved DLCO (<xref ref-type="bibr" rid="ref22">22</xref>). In the current investigation, we demonstrated impaired DLCO in patients with PAH. Nevertheless, although the DLCO % pred exhibited a negative correlation with PVR, no association was observed with either baseline or follow-up risk status. The differences between our cohort and those previously reported include a relatively younger age, fewer smokers, and fewer coronary comorbidities, which may contribute to the negative DLCO % pred result. Furthermore, the inclusion of PAH patients associated with diverse etiologies may also influence the PFT analysis. The observation that 11% of healthy controls exhibited DLCO% pred values &#x003C;80%. Several factors may contribute to this finding. First, the inherent technical variability of DLCO measurements, characterized by a higher coefficient of variation (10&#x2013;15%) compared to spirometry (<xref ref-type="bibr" rid="ref15">15</xref>), could partially account for these results. Second, undiagnosed comorbidities, such as subclinical emphysema in individuals with smoking exposure (mean pack-year: 1.1&#x202F;&#x00B1;&#x202F;3.8), may have influenced diffusion capacity. Finally, ethnic-specific considerations are relevant; established prediction equations, primarily derived from Caucasian populations, may systematically underestimate DLCO in Asian cohorts, as evidenced by studies in Korean populations (<xref ref-type="bibr" rid="ref23">23</xref>).</p>
<p>We also evaluated IOS parameters in PAH patients. IOS measures lung resistance at different frequencies to distinguish central and peripheral airway obstruction through regional inhomogeneity. To further differentiate obstruction due to the central airway or the peripheral airway, we conducted IOS analysis. The X5, R5, R5&#x2013;R20, and R20 represent elastic and interstitial properties, total airway resistance, peripheral airway resistance, and proximal airway resistance, respectively (<xref ref-type="bibr" rid="ref24">24</xref>). PAH affected lung elasticity, as evidenced by decreased X5. Our integrated analysis of spirometry and oscillometry revealed a distinct pattern of predominantly peripheral, rather than proximal, airway obstruction in CHD-PAH patients. This is evidenced by characteristic reductions in mid-expiratory flows (MEF&#x2087;&#x2085;, MEF&#x2085;&#x2080;, MEF&#x2082;&#x2085;% pred) on spirometry, alongside a significant elevation in R5&#x2013;R20 (a direct measure of peripheral airway resistance). These convergent data suggest that peripheral, but not proximal, airway obstruction was more prevalent in CHD-PAH patients compared to CTD-PAH and IPAH patients. Although a component of physical lung restriction by enlarged cardiac structures is theoretically possible, the preserved TLC% pred in our CHD-PAH patients argues against it being a primary mechanism. The observed reduction in FVC is more likely a consequence of gas trapping secondary to predominant small airway obstruction.</p>
<p>Abnormal formation or enlargement of vessels can compress the airways and result in small airway obstructions. A close relationship exists between blood vessels and airways throughout lung development (<xref ref-type="bibr" rid="ref25">25</xref>). Infants with congenital heart disease exhibit an increase in airway smooth muscle and enhanced reactivity (<xref ref-type="bibr" rid="ref26">26</xref>). The comprehensive remodeling of pulmonary artery hemodynamics in CHD-PAH patients results in more pronounced peripheral airway remodeling.</p>
<p>This study further confirmed that PAH patients had peripheral airway obstruction. A 47-year follow-up of 10,635 patients after congenital heart surgery demonstrated obstructive pulmonary disease as the most common non-cardiovascular morbidity (9%) (<xref ref-type="bibr" rid="ref27">27</xref>). The possible mechanism includes loss of lung elastic recoil, intrinsic airway narrowing or obliteration, airway inflammation, vasoactive mediators, and mechanical oppression of dilated vessels (<xref ref-type="bibr" rid="ref8">8</xref>, <xref ref-type="bibr" rid="ref13">13</xref>).</p>
<p>In recent times, PAH treatment decisions should be stratified according to disease severity, as assessed through risk stratification. The primary objective is to achieve and maintain a low-risk status, as recommended by clinical guidelines (<xref ref-type="bibr" rid="ref12">12</xref>). In the present study, we demonstrated that decreased FVC, representing pulmonary ventilation function impairment, resulted in poor risk status improvement after combined target therapy treatment. Two potential explanations are proposed. First, we utilized a four-strata risk-assessment approach, which exhibits increased sensitivity to risk changes from baseline to follow-up (<xref ref-type="bibr" rid="ref28">28</xref>). This risk assessment tool comprises WHO FC, 6MWD, and BNP/NT-proBNP, with the first two indices reflecting exercise capacity, which is closely associated with ventilation function. Additionally, emerging evidence suggests that lung function is negatively correlated with elevated systemic or paracrine proinflammatory cytokines (<xref ref-type="bibr" rid="ref29">29</xref>, <xref ref-type="bibr" rid="ref30">30</xref>). A close relationship exists between blood vessels and the airways. The pulmonary arteries run alongside and branch from the airways, progressively decreasing in diameter. Perivascular inflammation is a prominent feature in the pathogenesis of PH, and blood cytokine profiles have demonstrated the ability to distinguish PAH immune phenotypes with differing clinical risks independently (<xref ref-type="bibr" rid="ref31">31</xref>, <xref ref-type="bibr" rid="ref32">32</xref>). Consequently, ventilation impairment may deteriorate with the progression of PAH, as demonstrated by Oostveen et al., who observed that FVC decreased by 190&#x202F;mL/year in PAH patients (<xref ref-type="bibr" rid="ref17">17</xref>).</p>
</sec>
<sec id="sec17">
<title>Limitations</title>
<p>There are two major limitations to the study. First, only baseline PFTs, but not PFT changes over time, were included in prognosis analysis. Second, although we did find a relationship between PFT impairment and risk status changes, current results are insufficient for us to conclude whether it is an accompanying phenomenon secondary to PAH progression or a cause of PAH deterioration. A pilot study showed that IPAH patients had significantly increased FEV<sub>1</sub> and CO with decreased PVR after inhaled salbutamol, a &#x00DF;2-agonist (<xref ref-type="bibr" rid="ref33">33</xref>). It is unknown whether patients can benefit from long-term regular bronchodilator therapy. A further randomized study is necessary to go deeply into the use of bronchodilators in PAH patients with ventilation impairment.</p>
</sec>
<sec sec-type="conclusions" id="sec18">
<title>Conclusion</title>
<p>PAH patients had both ventilation and diffusion capacity impairment. The CHD-PAH patients showed apparent peripheral airway obstruction. FVC and FEV<sub>1</sub> are positively related to 6MWD. PAH patients with FVC% pred &#x003C;82% showed worse response to PAH-targeted therapy.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec19">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec sec-type="ethics-statement" id="sec20">
<title>Ethics statement</title>
<p>The studies involving humans were approved by the Ethics Committees of Shandong University. The studies were conducted in accordance with the local legislation and institutional requirements. The ethics committee/institutional review board waived the requirement of written informed consent for participation from the participants or the participants&#x2019; legal guardians/next of kin because it was an observational study, there was no additional intervention, so the written informed consent was waived.</p>
</sec>
<sec sec-type="author-contributions" id="sec21">
<title>Author contributions</title>
<p>XX: Writing &#x2013; original draft, Funding acquisition, Conceptualization. MX: Software, Writing &#x2013; original draft, Data curation. HL: Investigation, Formal analysis, Writing &#x2013; original draft. JL: Data curation, Writing &#x2013; original draft. ZY: Writing &#x2013; original draft, Data curation. QJ: Conceptualization, Writing &#x2013; original draft. WL: Investigation, Writing &#x2013; original draft, Methodology. XC: Conceptualization, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="funding-information" id="sec22">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This research was supported by grants from Shandong Provincial Natural Science Foundation (ZR2021MH111, ZR2023MH239, ZR2023MH377).</p>
</sec>
<sec sec-type="COI-statement" id="sec23">
<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="ai-statement" id="sec24">
<title>Generative AI statement</title>
<p>The author(s) declare that no Gen AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="sec25">
<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>
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</ref-list>
<glossary>
<def-list>
<title>Glossary</title>
<def-item>
<term>BMI</term>
<def>
<p>body mass index</p>
</def>
</def-item>
<def-item>
<term>CHD-PAH</term>
<def>
<p>pulmonary arterial hypertension associated with congenital heart disease</p>
</def>
</def-item>
<def-item>
<term>CI</term>
<def>
<p>cardiac index</p>
</def>
</def-item>
<def-item>
<term>CO</term>
<def>
<p>cardiac output</p>
</def>
</def-item>
<def-item>
<term>COPD</term>
<def>
<p>chronic obstructive lung disease</p>
</def>
</def-item>
<def-item>
<term>CTD-PAH</term>
<def>
<p>pulmonary arterial hypertension associated with connective tissue disease</p>
</def>
</def-item>
<def-item>
<term>DLCO</term>
<def>
<p>single-breath diffusion capacity for carbon monoxide</p>
</def>
</def-item>
<def-item>
<term>d,s,mPAP</term>
<def>
<p>diastolic/systolic/mean pulmonary arterial pressure</p>
</def>
</def-item>
<def-item>
<term>ESC</term>
<def>
<p>European Society of Cardiology</p>
</def>
</def-item>
<def-item>
<term>ERS</term>
<def>
<p>European Respiratory Society</p>
</def>
</def-item>
<def-item>
<term>FVC</term>
<def>
<p>forced vital capacity</p>
</def>
</def-item>
<def-item>
<term>FEV<sub>1</sub></term>
<def>
<p>forced expiratory volume in 1&#x202F;s</p>
</def>
</def-item>
<def-item>
<term>Fres</term>
<def>
<p>resonant frequency</p>
</def>
</def-item>
<def-item>
<term>HPAH</term>
<def>
<p>heritable PAH</p>
</def>
</def-item>
<def-item>
<term>IOS</term>
<def>
<p>impulse oscillometry</p>
</def>
</def-item>
<def-item>
<term>IPAH</term>
<def>
<p>idiopathic pulmonary arterial hypertension</p>
</def>
</def-item>
<def-item>
<term>MEF<sub>75,50,25</sub></term>
<def>
<p>maximal expiratory flow at 75, 50, 25%</p>
</def>
</def-item>
<def-item>
<term>NT-proBNP</term>
<def>
<p>N-terminal pro B-type natriuretic peptide</p>
</def>
</def-item>
<def-item>
<term>PAH</term>
<def>
<p>pulmonary arterial hypertension</p>
</def>
</def-item>
<def-item>
<term>PEF</term>
<def>
<p>peak expiratory flow</p>
</def>
</def-item>
<def-item>
<term>PH</term>
<def>
<p>pulmonary hypertension</p>
</def>
</def-item>
<def-item>
<term>PVR</term>
<def>
<p>Pulmonary vascular resistance</p>
</def>
</def-item>
<def-item>
<term>RAA</term>
<def>
<p>right atrial area</p>
</def>
</def-item>
<def-item>
<term>RHC</term>
<def>
<p>right heart catheterization</p>
</def>
</def-item>
<def-item>
<term>RV</term>
<def>
<p>residual volume</p>
</def>
</def-item>
<def-item>
<term>R5</term>
<def>
<p>resistance at 5&#x202F;Hz</p>
</def>
</def-item>
<def-item>
<term>TAPSE</term>
<def>
<p>tricuspid annular plane systolic excursion</p>
</def>
</def-item>
<def-item>
<term>TLC</term>
<def>
<p>total lung capacity</p>
</def>
</def-item>
<def-item>
<term>TLCO</term>
<def>
<p>carbon monoxide transfer factor</p>
</def>
</def-item>
<def-item>
<term>WHO FC</term>
<def>
<p>World Health Organization functional class</p>
</def>
</def-item>
<def-item>
<term>X5</term>
<def>
<p>reactance at 5&#x202F;Hz</p>
</def>
</def-item>
<def-item>
<term>Z5</term>
<def>
<p>impedance at 5&#x202F;Hz</p>
</def>
</def-item>
<def-item>
<term>6MWD</term>
<def>
<p>6-min walking distance</p>
</def>
</def-item>
<def-item>
<term>% pred</term>
<def>
<p>% predicted.</p>
</def>
</def-item>
</def-list>
</glossary>
</back>
</article>