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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cardiovasc. Med.</journal-id>
<journal-title>Frontiers in Cardiovascular Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cardiovasc. Med.</abbrev-journal-title>
<issn pub-type="epub">2297-055X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcvm.2023.1085122</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cardiovascular Medicine</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Correlation between serum GDF-15 level and pulmonary vascular morphological changes and prognosis in patients with pulmonary arterial hypertension</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Maimaiti</surname><given-names>Yasenjiang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Cheng</surname><given-names>Hui</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Guo</surname><given-names>Zitong</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Yu</surname><given-names>Xiaolin</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Tuohuti</surname><given-names>Adilijiang</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>Li</surname><given-names>Guoqing</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x002A;</xref><uri xlink:href="https://loop.frontiersin.org/people/2076895/overview"/></contrib>
</contrib-group>
<aff id="aff1"><label><sup>1</sup></label><addr-line>Gerontology Center</addr-line>, <institution>People&#x0027;s Hospital of Xinjiang Uygur Autonomous Region</institution>, <addr-line>Urumqi</addr-line>, <country>China</country></aff>
<aff id="aff2"><label><sup>2</sup></label><addr-line>Department of Cardiology</addr-line>, <institution>People&#x0027;s Hospital of Xinjiang Uygur Autonomous Region</institution>, <addr-line>Urumqi</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p><bold>Edited by:</bold> Marie-Jos&#x00E9; Goumans, Leiden University Medical Center (LUMC), Netherlands</p></fn>
<fn fn-type="edited-by"><p><bold>Reviewed by:</bold> Peiran Yang, Chinese Academy of Medical Sciences and Peking Union Medical College, China Xiaoyan Liu, Capital Medical University, China</p></fn>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Guoqing Li <email>liguoqinglgq9m@outlook.com</email></corresp>
</author-notes>
<pub-date pub-type="epub"><day>23</day><month>05</month><year>2023</year></pub-date>
<pub-date pub-type="collection"><year>2023</year></pub-date>
<volume>10</volume><elocation-id>1085122</elocation-id>
<history>
<date date-type="received"><day>31</day><month>10</month><year>2022</year></date>
<date date-type="accepted"><day>12</day><month>04</month><year>2023</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2023 Maimaiti, Cheng, Guo, Yu, Tuohuti and Li.</copyright-statement>
<copyright-year>2023</copyright-year><copyright-holder>Maimaiti, Cheng, Guo, Yu, Tuohuti and Li</copyright-holder><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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>Objective</title>
<p>To investigate how serum GDF-15 concentration affects pulmonary artery hemodynamics and pulmonary vascular morphological changes in patients with pulmonary arterial hypertension.</p>
</sec>
<sec><title>Methods</title>
<p>A total of 45 patients admitted to our hospital from December 2017 to December 2019, were selected for the study. Pulmonary vascular hemodynamics and pulmonary vascular morphology were detected by RHC and IVUS. Serum GDF-15 levels were detected by enzyme-linked immunosorbent assay (ELISA). Based on the concentration of GDF-15, the patients were divided into two groups&#x2014;the normal GDF-15 group (GDF-15 &#x003C;1,200&#x2005;pg/ml, 12 cases) and the elevated GDF-15 group (GDF-15 &#x2265;1,200&#x2005;pg/ml, 33 cases). A statistical analysis was performed to compare the effects of normal blood GDF-15 levels and high serum GDF-15 levels on hemodynamics and pulmonary vascular morphology in each group of patients.</p>
</sec>
<sec><title>Results</title>
<p>The average levels of RVP, sPAP, dPAP, mPAP, and PVR in patients with elevated GDF-15 levels were higher than those in patients with normal GDF-15 levels. The difference between the two groups was statistically significant (<italic>P</italic>&#x2009;&#x003C;&#x2009;0.05). The average levels of Vd, elastic modulus, stiffness index &#x03B2;, lesion length, and PAV in the normal GDF-15 group were lower than those in the elevated GDF-15 group. The average levels of compliance, distensibility, and minimum l umen area were higher than those in the elevated GDF-15 group. The difference between the two groups was statistically significant (<italic>P</italic>&#x2009;&#x003C;&#x2009;0.05). The survival analysis results showed that the 1-year survival rate of patients with normal GDF-15 levels and elevated GDF-15 levels was 100&#x0025; and 87.9&#x0025;, respectively, and that the 3-year survival rate of patients with normal GDF-15 levels and elevated GDF-15 levels was 91.7&#x0025; and 78.8&#x0025;, respectively. The survival rates of the two groups were compared by the Kaplan Meier method, and the difference was not statistically significant (<italic>P</italic>&#x2009;&#x003E;&#x2009;0.05).</p>
</sec>
<sec><title>Conclusion</title>
<p>Patients with pulmonary arterial hypertension with elevated GDF-15 levels have higher pulmonary arterial pressure, higher pulmonary vascular resistance, and more serious pulmonary vascular lesions, which are potentially more harmful. There was no statistically significant difference in survival rates among patients with different serum GDF-15 levels.</p>
</sec>
</abstract>
<kwd-group>
<kwd>intravascular ultrasound</kwd>
<kwd>growth differentiation factor-15 (GDF-15)</kwd>
<kwd>mortality rate</kwd>
<kwd>pulmonary hypertension</kwd>
<kwd>pulmonary vascular morphology</kwd>
</kwd-group>
<contract-num rid="cn001">2019D01C155</contract-num>
<contract-sponsor id="cn001">Natural Science Foundation of Xinjiang Autonomous Region</contract-sponsor>
<counts>
<fig-count count="1"/>
<table-count count="6"/><equation-count count="3"/><ref-count count="38"/><page-count count="0"/><word-count count="0"/></counts><custom-meta-wrap><custom-meta><meta-name>section-at-acceptance</meta-name><meta-value>Atherosclerosis and Vascular Medicine</meta-value></custom-meta></custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1"><label>1.</label><title>Background</title>
<p>Pulmonary hypertension (PH) is a group of fatal diseases characterized by abnormally elevated pulmonary arterial pressure (PAP) and pulmonary vascular resistance (PVR), ultimately leading to right heart failure and death. Among them, pulmonary arterial hypertension (PAH) is the most fatal type of PH (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). At present, the median survival time of PAH patients treated with PAH drugs is only 7 years (<xref ref-type="bibr" rid="B3">3</xref>). The disease progresses rapidly, seriously affects the patient&#x0027;s life quality, and has a poor prognosis. PAH is a common complication in patients with connective tissue diseases. PAH associated with connective tissue diseases (PAH-CTD) mainly includes systemic lupus erythematosus (SLE)-associated PAH, systemic sclerosis (SSc), mixed connective tissue diseases (MCTD), rheumatoid arthritis (RA), and Sj&#x00F6;gren&#x0027;s syndrome (<xref ref-type="bibr" rid="B4">4</xref>). The diagnosis and evaluation methods of PAH mainly include right heart catheterization (RHC), lung biopsy, and pulmonary angiography. Right heart catheterization (RHC) is still the &#x201C;gold standard&#x201D; for evaluating and diagnosing PAH. However, it can&#x0027;t detect abnormal pulmonary vascular performance, nor can it distinguish slight changes in pulmonary vascular performance among different types of PAH (<xref ref-type="bibr" rid="B5">5</xref>). A lung biopsy can accurately evaluate pulmonary vascular lesions, but its clinical application is limited because of the heterogeneity of pulmonary vascular lesions in PAH patients and the relatively invasive nature of biopsy. Intravascular ultrasound (IVUS) is a new imaging technology that combines non-invasive ultrasound with invasive cardiac catheterization. It is widely used in the study of coronary heart disease (<xref ref-type="bibr" rid="B6">6</xref>). However, a large number of studies done in China and overseas, have shown that IVUS can not only evaluate the morphological changes of pulmonary blood vessels but it can also quantitatively and qualitatively analyze the morphological and functional changes of pulmonary blood vessels. It plays an important role in evaluating the morphological changes and detecting mechanical properties of pulmonary blood vessels in PAH (<xref ref-type="bibr" rid="B7">7</xref>&#x2013;<xref ref-type="bibr" rid="B10">10</xref>). However, it is an invasive procedure, which is difficult to perform, and there are few studies on the correlation between pulmonary artery IVUS performance and the prognosis of PAH patients.</p>
<p>Growth differentiation factor-15 (GDF-15), a member of the transforming growth factor-&#x03B2; cytokine superfamily, was a stress response protein, which plays a role in anti-apoptosis, anti-inflammation, and protection of vascular endothelium in the body (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>). GDF-15 is mainly involved in various biological processes such as tissue repair, and organ growth regulation and differentiation, and has also been implicated in the progression of many diseases (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>). It has been reported that GDF-15 regulates the process of vascular proliferation, differentiation, remodeling, and inflammatory damage repair mainly through anti-inflammation, anti-apoptosis, anti-fibrosis, and anti-oxidation. In mononuclear macrophages, angiotensin II, interleukin-1, and tumor necrosis factor can all induce the production of GDF-15, and exert its anti-inflammatory effect by activating macrophages. As a protective factor, the GDF-15 protein is secreted extracellular and binds to the TGF-&#x03B2; family of receptors on the cell surface, enhancing the activation of intracellular Smad4 signaling pathway by promoting intracellular Smad2/3 and Smad1/5/8 phosphorylation signals, and ultimately inhibiting cell growth (<xref ref-type="bibr" rid="B11">11</xref>). On the other hand, GDF-15 can also function through a non-Smad-dependent pathway. Under some pathological conditions, GDF-15 inhibits the pro-proliferation effect of Akl/EliK by blocking the activation of epidermal growth factor receptor, and can also inhibit the oxygen free radical mediated NF-kB/JNK signal activation by activating PI3K/Akt/eNOS signaling pathway, thus protecting vascular endothelial cells from serious damage (<xref ref-type="bibr" rid="B12">12</xref>). Studies have shown that, as an important cardiovascular protective factor, GDF-15 is closely related to the diagnosis and prognosis of many cardiovascular diseases (<xref ref-type="bibr" rid="B15">15</xref>). Studies have found that the expression of GDF-15 in the pulmonary tissue of PAH patients is significantly higher than that in patients with normal pulmonary tissue and it is mainly concentrated in pulmonary vascular endothelial cells (<xref ref-type="bibr" rid="B16">16</xref>). Meadows et al. showed that the level of GDF-15 in the plasma of PAH patients with systemic sclerosis (SSc) is significantly higher than that of SSc patients without pulmonary arterial hypertension (<xref ref-type="bibr" rid="B17">17</xref>). Kempf et al. found that GDF-15 can be induced by the expression of cardiomyocytes in the condition of ischemia reperfusion through a nitric oxide-dependent pathway, and GDF-15 can also be induced by oxidative stress caused by other cardiovascular events (such as pressure overload, heart failure, atherosclerosis, etc.), thus inhibiting the hypertrophy and structural remodeling of cardiomyocytes (<xref ref-type="bibr" rid="B18">18</xref>). Therefore, GDF-15 may be a useful biomarker in PAH-CTD patients.</p>
<p>However, there are few reports on the relationship between GDF-15 level and morphological changes in pulmonary blood vessels of patients with PAH. GDF-15, a member of the TGF-&#x03B2; family, activates the TGF-&#x03B2; receptor. From this point of view, GDF-15 has a dual role, that is, it is involved in the initiation of the body&#x0027;s self-protective response, and in some cases plays a protective role. For example, initiation of autophagy, inhibition of inflammation, inhibition of apoptosis, etc. (<xref ref-type="bibr" rid="B19">19</xref>&#x2013;<xref ref-type="bibr" rid="B25">25</xref>). However, in some cases, it plays a bad role, such as tissue fibrosis and other diseases (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>). According to existing studies, the expression level of GDF-15 in pulmonary hypertension is indeed increased, and it is correlated with the survival rate of patients. Patients with low GDF-15 have a higher survival rate. But whether it protects or promotes damage is less clear.</p>
<p>In this study, we used an enzyme-linked immunosorbent assay (ELISA) to detect the level of GDF-15 in the serum of PAH patients. We also analyzed how GDF-15 is related to pulmonary artery hemodynamics and pulmonary vascular morphological changes, to explore whether GDF-15 could indirectly reflect the severity of pulmonary vascular morphological changes in PAH and further explore its influence on the mortality or prognosis of PAH patients.</p>
</sec>
<sec id="s2"><label>2.</label><title>Materials and methods</title>
<sec id="s2a"><label>2.1.</label><title>Study participants</title>
<p>Study participants were selected according to the established inclusion and exclusion criteria: Inclusion criteria: (1) The participants (or legal guardian) understand the test requirements and treatment procedures and sign a written informed consent prior to performing any examinations or procedures required by the protocol. (2) Male or female participants &#x2265;18 years old and &#x003C;80 years old. (3) Highly suspicious PAH after echocardiographic screening (SPAP&#x2009;&#x2265;&#x2009;40&#x2005;mmHg). Exclusion criteria: (1) Pregnant or lactating women. (2) The researchers believe that participants in the study are at increased risk [(a) patients with severe mental illness or congenital mental retardation, such as schizophrenia and depression; (b) patients with severe organ dysfunction such as heart, lung, liver, and kidney, severe endocrine impairment, severe infectious diseases, and toxic encephalopathy; (c) patients with stroke, Parkinson&#x0027;s disease, ischemic cerebrovascular disease, brain tumor, and other neurological diseases that can cause brain dysfunction; (d) patients with a history of severe head trauma and those who have been determined to be alcohol dependent or drug dependent within the past 6 months]. (3) Patients with mental disorders who are unable to sign informed consent, or who are unable to follow trial protocol. (4) Patients with severe infection, severe liver failure, renal insufficiency and severe bleeding tendency. (5) Patients with malignant tumors. (6) Complicated with second or more degrees of atrioventricular block, or pathological sinoatrial syndrome, hemodynamic instability, spastic bronchial asthma, and adenosine or adenosine triphosphate allergy. (7) Patients who cannot lie flat on the operating table. The study duration was from December 2017 to December 2019, a total of 2 years. We selected 60 patients from the People&#x0027;s Hospital of Xinjiang Uygur Autonomous Region who were highly suspected of PH, based on medical history and echocardiography screening. After inclusion, RHC and IVUS examinations were performed. According to RHC, laboratory examinations, and diagnosis by the Department of Cardiology, and Department of Rheumatology and Immunology of People&#x0027;s Hospital of Xinjiang Uygur Autonomous Region, 27 patients were diagnosed as PAH-CTD (PAH-CTD group), 18 patients were diagnosed as other types of PAH (10 cases of idiopathic pulmonary arterial hypertension, 4 cases of portal pulmonary arterial hypertension, 4 cases of congenital heart disease-related pulmonary arterial hypertension) (other types of PAH group), and 15 patients were diagnosed as without PAH (control group). According to the results of GDF-15 detection, the patients were divided into two groups: normal GDF-15 group (GDF-15 &#x003C;1,200&#x2005;pg/ml) and elevated GDF-15 group (GDF-15 &#x2265;1,200&#x2005;pg/ml). This study was approved by the Ethics Committee of People&#x0027;s Hospital of Xinjiang Uygur Autonomous Region (approval number:). All selected patients signed the informed consent.</p>
</sec>
<sec id="s2b"><label>2.2.</label><title>RHC and IVUS examination</title>
<p>According to the European Heart Journal&#x0027;s guidelines for the diagnosis and treatment of pulmonary hypertension (<xref ref-type="bibr" rid="B28">28</xref>), RHC (8.5F, Baxter Healthcare, Edwards Critical Care Division, Deerfield, IL, USA) was performed to detect the pulmonary artery hemodynamics. Detection indicators include&#x2014;right atrial pressure (RAP), right ventricular pressure (RVP), pulmonary artery systolic pressure (sPAP), pulmonary artery diastolic pressure (dPAP), mean pulmonary artery pressure (mPAP), pulmonary artery wedge pressure (PAWP), cardiac output/cardiac index (CO/CI), etc. The formula for PVR&#x2009;&#x003D;&#x2009;(mPAP&#x2009;&#x2212;&#x2009;PAWP)/CO. The formula for pulmonary arterial pulse pressure (PPP)&#x2009;&#x003D;&#x2009;sPAP&#x2009;&#x2212;&#x2009;dPAP. At the same time, we measured the blood oxygen saturation of the vena cava, right atrium, right ventricle, pulmonary artery, and systemic circulation.</p>
<p>IVUS examination was performed as soon as pulmonary artery pressure recovered after RHC and pulmonary artery angiography. A 40&#x2005;MHz US catheter (Boston Scientific, US) with axial resolution of 43&#x2005;&#x00B5;m was used to detect the lower pulmonary artery segment. As per Bressollette et al., the typical abnormality in pulmonary vascular performance is usually in the lower lung, and the degree of abnormality is similar between the left and right lungs (<xref ref-type="bibr" rid="B29">29</xref>). Therefore, four pulmonary segments were detected (two segments from the left lower pulmonary arteries and two segments from the right lower pulmonary arteries) and the mean value was used for statistical analysis.</p>
<p>After the US catheter was sent to the distal end of the pulmonary artery, it was retracted to the proximal end of the pulmonary artery at a speed of 0.5&#x2005;mm/s. The image data were read using iLabTM system (Boston Scientific, USA) to ensure that all the images were of good quality (a complete circumferential boundary existed between the tunica media and the medial wall of tunica adventitia of pulmonary blood vessels). The image data were recorded and saved on a Sony DVD.</p>
</sec>
<sec id="s2c"><label>2.3.</label><title>Pulmonary vascular performance measurement and calculation</title>
<p>Using a single-blind method, two experienced operators independently measured all clinical and hemodynamic data using imap software (ImageJ Ver 1.44, NIH, USA). All pulmonary blood vessels were divided into 2 segments: the distal segment with diameter &#x003C;5&#x2005;mm and the proximal segment with diameter &#x003E;5&#x2005;mm. A total of 480 pulmonary blood vessel segments were measured (216 from PAH-CTD group, 140 from other types of PAH group, and 120 from control group).</p>
<p>Since IVUS cannot distinguish the tunica adventitia of pulmonary blood vessels, in this study, we took the data of the inner diameter limits of pulmonary blood vessels (including tunica intima and tunica media of pulmonary blood vessels). The data included total area of blood vessels (tunica intima and tunica media of pulmonary blood vessels) in diastole and systole (VAd and VAs), vascular diameter (VDd and VDs), lumen area (LAd and LAs), lumen diameter (LDd and LDs) and minimum lumen diameter (MLDd and MLDs), average vascular diameter&#x2009;&#x003D;&#x2009;(VDd&#x2009;&#x002B;&#x2009;VDs)/2, mean wall thickness (MWT, Mean wall thickness)&#x2009;&#x003D;&#x2009;[(VDd&#x2009;&#x002B;&#x2009;VDs)/2&#x2009;&#x2212;&#x2009;(LDd&#x2009;&#x002B;&#x2009;LDs)/2]/2, and the mean wall thickness percentage (WTP, percentage of MWT)&#x2009;&#x003D;&#x2009;(2&#x2009;&#x00D7;&#x2009;MWT)&#x2009;&#x00D7;&#x2009;100&#x0025;/VD. If the WTP of the distal segment of the pulmonary artery of PAH patients was higher than that of the proximal segment, they were included in the distal remodeling group (<italic>n</italic>&#x2009;&#x003D;&#x2009;21), and vice versa; if the WTP of the proximal segment of pulmonary artery of PAH patients was higher than that of the distal segment, they were included in the proximal remodeling group (<italic>n</italic>&#x2009;&#x003D;&#x2009;24).</p>
<p>Pulmonary vascular mechanical performance indicators include compliance, distensibility, elastic modulus, and stiffness index &#x03B2; (<xref ref-type="bibr" rid="B28">28</xref>&#x2013;<xref ref-type="bibr" rid="B32">32</xref>). The calculation methods of each index are as follows: compliance&#x2009;&#x003D;&#x2009;(VAd&#x2009;&#x2212;&#x2009;VAs)&#x2009;&#x00D7;&#x2009;100/PPP; distensibility degree&#x2009;&#x003D;&#x2009;(VAd&#x2009;&#x2212;&#x2009;VAs)&#x2009;&#x00D7;&#x2009;100&#x0025;/PPP&#x2009;&#x00D7;&#x2009;VAd; elastic modulus&#x2009;&#x003D;&#x2009;PPP&#x2009;&#x00D7;&#x2009;VDd/(VDd&#x2009;&#x2212;&#x2009;VDs); stiffness index &#x03B2;&#x2009;&#x003D;&#x2009;Ln(sPAP/dPAP)/[(VDd&#x2009;&#x2212;&#x2009;VDs)/VDd].</p>
</sec>
<sec id="s2d"><label>2.4.</label><title>Laboratory examination</title>
<p>Blood samples were collected for GDF-15 and NT-proBNP measurement during the first right heart catheterization. Blood was collected from the healthy control group in the morning. The whole blood was centrifuged at 3,500&#x2005;g for 15&#x2005;min and the supernatant was collected as serum, then frozen and stored at &#x2212;80&#x00B0;C for further analysis.</p>
</sec>
<sec id="s2e"><label>2.5.</label><title>Enzyme-linked immunosorbent assay (ELISA)</title>
<p>GDF-15 and NT-proBNP were detected using the Elisa kit (CUSABIO) according to the instructions. Standard laboratory techniques measured creatinine and uric acid. Serum samples are measured directly according to the kit instructions. The concentration of GDF-15 in human samples was calculated by standard curve and OD value.</p>
</sec>
<sec id="s2f"><label>2.6.</label><title>Drug therapy and follow-ups</title>
<p>All patients were diagnosed by right heart catheterization, IVUS, and FFR examination, combined with various laboratory tests. Then, PAH patients received targeted drug therapy, including endothelin receptor antagonist (bosentan, phosphodiesterase inhibitor), sildenafil, tadalafil, etc. PAH-CTD patients were given connective tissue etiological treatment and targeted drug therapy concurrently. Patients were followed up every 1 month after discharge and every 3&#x2013;6 months after half a year. Follow-ups included investigation of the recent condition of the patient, blood biochemical examination, concomitant medication, any hospitalization due to changes in patient condition. The primary mode of follow-ups was outpatient care. The last follow-up was by telephone. The clinical endpoint was all-cause mortality of patients.</p>
</sec>
<sec id="s2g"><label>2.7.</label><title>Statistical methods</title>
<p>SPSS 25.0 was used for statistical analysis. R 4.2.1 was used to draw statistical charts. The measurement data are expressed by mean&#x2009;&#x00B1;&#x2009;standard deviation <inline-formula><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="IM1"><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mrow><mml:mover><mml:mi>x</mml:mi><mml:mo stretchy="false">&#x00AF;</mml:mo></mml:mover></mml:mrow><mml:mo>&#x00B1;</mml:mo><mml:mi>s</mml:mi></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:math></inline-formula>, and <italic>t</italic>-test was used for comparison between two groups. Categorical variables were presented as percentages with Chi-squared test for comparison between two groups. Spearman correlation analysis was performed to analyze the correlation between serum GDF-15 level and each parameter. The 1- and 3-year cumulative survival rates were calculated by Kaplan-Meier analysis and compared with log-rank test. The main endpoint was all-cause mortality. Two-sided <italic>P</italic>&#x2009;&#x003C;&#x2009;0.05 is statistically significant.</p>
</sec>
</sec>
<sec id="s3" sec-type="results"><label>3.</label><title>Results</title>
<sec id="s3a"><label>3.1.</label><title>General clinical baseline data of patients</title>
<p>As shown in <xref ref-type="table" rid="T1">Table&#x00A0;1</xref>, there was no statically significant difference in baseline data such as age, sex, diabetes, hypertension, and coronary heart disease between GDF-15 &#x003C;1,200&#x2005;pg/ml group and GDF-15 &#x2265;1,200&#x2005;pg/ml group. The two groups of patients were comparable, as shown in <xref ref-type="table" rid="T1">Table&#x00A0;1</xref>.</p>
<table-wrap id="T1" position="float"><label>Table 1</label>
<caption><p>Baseline data of patients in each group.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Index</th>
<th valign="top" align="center">GDF-15 &#x003C;1,200&#x2005;pg/ml Group (<italic>n</italic>&#x2009;&#x003D;&#x2009;12)</th>
<th valign="top" align="center">GDF-15 &#x2265;1,200&#x2005;pg/ml Group (<italic>n</italic>&#x2009;&#x003D;&#x2009;33)</th>
<th valign="top" align="center">t/&#x03C7;<sup>2</sup></th>
<th valign="top" align="center"><italic>P</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="center">47.42&#x2009;&#x00B1;&#x2009;12.90</td>
<td valign="top" align="center">44.52&#x2009;&#x00B1;&#x2009;15.70</td>
<td valign="top" align="center">0.572</td>
<td valign="top" align="center">0.570</td>
</tr>
<tr>
<td valign="top" align="left" colspan="5"><bold>Gender</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Male</td>
<td valign="top" align="center">6 (50.0)</td>
<td valign="top" align="center">21 (63.6)</td>
<td valign="top" align="center">0.682</td>
<td valign="top" align="center">0.409</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Female</td>
<td valign="top" align="center">6 (50.0)</td>
<td valign="top" align="center">12 (36.4)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Diabetes</td>
<td valign="top" align="center">3 (25.0)</td>
<td valign="top" align="center">4 (12.1)</td>
<td valign="top" align="center">1.111</td>
<td valign="top" align="center">0.292</td>
</tr>
<tr>
<td valign="top" align="left">Hypertension</td>
<td valign="top" align="center">2 (16.7)</td>
<td valign="top" align="center">11 (33.3)</td>
<td valign="top" align="center">0.517</td>
<td valign="top" align="center">0.472</td>
</tr>
<tr>
<td valign="top" align="left">Coronary heart disease</td>
<td valign="top" align="center">3 (25.0)</td>
<td valign="top" align="center">7 (21.2)</td>
<td valign="top" align="center">0.000</td>
<td valign="top" align="center">1.000</td>
</tr>
<tr>
<td valign="top" align="left">ALT (U/L)</td>
<td valign="top" align="center">28.5&#x2009;&#x00B1;&#x2009;9.3</td>
<td valign="top" align="center">29.9&#x2009;&#x00B1;&#x2009;8.7</td>
<td valign="top" align="center">&#x2212;0.471</td>
<td valign="top" align="center">0.640</td>
</tr>
<tr>
<td valign="top" align="left">AST (U/L)</td>
<td valign="top" align="center">24.5&#x2009;&#x00B1;&#x2009;6.2</td>
<td valign="top" align="center">21.3&#x2009;&#x00B1;&#x2009;6.6</td>
<td valign="top" align="center">1.453</td>
<td valign="top" align="center">0.153</td>
</tr>
<tr>
<td valign="top" align="left">BUN (mmol/L)</td>
<td valign="top" align="center">7.3&#x2009;&#x00B1;&#x2009;2.3</td>
<td valign="top" align="center">6.9&#x2009;&#x00B1;&#x2009;2</td>
<td valign="top" align="center">0.581</td>
<td valign="top" align="center">0.564</td>
</tr>
<tr>
<td valign="top" align="left">CR (mmol/L)</td>
<td valign="top" align="center">75.1&#x2009;&#x00B1;&#x2009;22.4</td>
<td valign="top" align="center">74.1&#x2009;&#x00B1;&#x2009;19.5</td>
<td valign="top" align="center">0.147</td>
<td valign="top" align="center">0.884</td>
</tr>
<tr>
<td valign="top" align="left">UA (&#x00B5;mol/L)</td>
<td valign="top" align="center">357.5&#x2009;&#x00B1;&#x2009;97.4</td>
<td valign="top" align="center">382.7&#x2009;&#x00B1;&#x2009;95.1</td>
<td valign="top" align="center">&#x2212;0.780</td>
<td valign="top" align="center">0.440</td>
</tr>
<tr>
<td valign="top" align="left">TC (nmol/L)</td>
<td valign="top" align="center">3.8&#x2009;&#x00B1;&#x2009;0.9</td>
<td valign="top" align="center">4.1&#x2009;&#x00B1;&#x2009;0.9</td>
<td valign="top" align="center">&#x2212;0.934</td>
<td valign="top" align="center">0.356</td>
</tr>
<tr>
<td valign="top" align="left">TG (nmol/L)</td>
<td valign="top" align="center">1.5&#x2009;&#x00B1;&#x2009;0.6</td>
<td valign="top" align="center">1.6&#x2009;&#x00B1;&#x2009;0.7</td>
<td valign="top" align="center">&#x2212;0.421</td>
<td valign="top" align="center">0.676</td>
</tr>
<tr>
<td valign="top" align="left">HDL (nmol/L)</td>
<td valign="top" align="center">1.2&#x2009;&#x00B1;&#x2009;0.2</td>
<td valign="top" align="center">1.1&#x2009;&#x00B1;&#x2009;0.3</td>
<td valign="top" align="center">1.595</td>
<td valign="top" align="center">0.118</td>
</tr>
<tr>
<td valign="top" align="left">LDL (nmol/L)</td>
<td valign="top" align="center">2.3&#x2009;&#x00B1;&#x2009;0.6</td>
<td valign="top" align="center">2.6&#x2009;&#x00B1;&#x2009;0.7</td>
<td valign="top" align="center">&#x2212;1.085</td>
<td valign="top" align="center">0.284</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn1"><p>ALT, alanine transaminase; AST, aspartate transaminase; CR, creatinine; UA, urea nitrogen; TC, total cholesterol; TG, triglyceride; HDL, high density lipoprotein cholesterol; LDL, low density lipoprotein cholesterol.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>The PAH-CTD group had 14 patients with systemic lupus erythematosus (SLE), 4 patients with systemic sclerosis, 2 patients with Sj&#x00F6;gren&#x0027;s syndrome, 1 patient with mixed connective tissue disease, and 1 patient with rheumatoid arthritis. The most common disease was SLE, accounting for 52&#x0025; (14/27). The other types of PAH group had 10 patients with idiopathic pulmonary arterial hypertension (IPAH), 4 patients with portal pulmonary arterial hypertension, and 4 patients with congenital heart disease-related pulmonary arterial hypertension. Among them, IPAH patients were the largest number, accounting for 67&#x0025; (12/18). In the control group, one patient had hepatopulmonary syndrome and the other patients had connective tissue disease.</p>
</sec>
<sec id="s3b"><label>3.2.</label><title>Correlation analysis between GDF-15 and pulmonary artery hemodynamic parameters</title>
<p>The average levels of RAP and PAWP were not statistically significant in the GDF-15 &#x003C;1,200&#x2005;pg/ml and GDF-15 &#x2265;1,200&#x2005;pg/ml (<italic>P</italic>&#x2009;&#x003E;&#x2009;0.05) groups. The average levels of RVP, sPAP, dPAP, mPAP, CO, and PVR in GDF-15 &#x2265;1,200&#x2005;pg/ml group were higher than those in GDF-15 &#x003C;1,200&#x2005;pg/ml group. The difference between these two groups was statistically significant (<italic>P</italic>&#x2009;&#x003C;&#x2009;0.05), as shown in <xref ref-type="table" rid="T2">Table&#x00A0;2</xref>. Spearman&#x0027;s correlation analysis results showed that the level of GDF-15 was positively correlated with RVP, sPAP, dPAP, mPAP, CO, and PVR (<italic>P</italic>&#x2009;&#x003C;&#x2009;0.05), as shown in <xref ref-type="table" rid="T3">Table&#x00A0;3</xref>.</p>
<table-wrap id="T2" position="float"><label>Table 2</label>
<caption><p>Hemodynamic characteristics of patients in each GDF-15 group <inline-formula><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="IM2"><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mrow><mml:mover><mml:mi>x</mml:mi><mml:mo stretchy="false">&#x00AF;</mml:mo></mml:mover></mml:mrow><mml:mo>&#x00B1;</mml:mo><mml:mi>s</mml:mi></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:math></inline-formula>.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Index</th>
<th valign="top" align="center">GDF-15 &#x003C;1,200&#x2005;pg/ml Group (<italic>n</italic>&#x2009;&#x003D;&#x2009;12)</th>
<th valign="top" align="center">GDF-15 &#x2265;1,200&#x2005;pg/ml Group (<italic>n</italic>&#x2009;&#x003D;&#x2009;33)</th>
<th valign="top" align="center"><italic>t</italic></th>
<th valign="top" align="center"><italic>P</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">RAP (mmHg)</td>
<td valign="top" align="center">6.9&#x2009;&#x00B1;&#x2009;5.9</td>
<td valign="top" align="center">8.9&#x2009;&#x00B1;&#x2009;3.6</td>
<td valign="top" align="center">1.378</td>
<td valign="top" align="center">0.176</td>
</tr>
<tr>
<td valign="top" align="left">RVP (mmHg)</td>
<td valign="top" align="center">25.3&#x2009;&#x00B1;&#x2009;5.4</td>
<td valign="top" align="center">35.8&#x2009;&#x00B1;&#x2009;9.8</td>
<td valign="top" align="center">3.506</td>
<td valign="top" align="center">0.001<xref ref-type="table-fn" rid="table-fn3">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">sPAP (mmHg)</td>
<td valign="top" align="center">53.6&#x2009;&#x00B1;&#x2009;10.8</td>
<td valign="top" align="center">69.5&#x2009;&#x00B1;&#x2009;16.4</td>
<td valign="top" align="center">3.110</td>
<td valign="top" align="center">0.003<xref ref-type="table-fn" rid="table-fn3">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">dPAP (mmHg)</td>
<td valign="top" align="center">26.8&#x2009;&#x00B1;&#x2009;8.3</td>
<td valign="top" align="center">39.4&#x2009;&#x00B1;&#x2009;9.9</td>
<td valign="top" align="center">3.928</td>
<td valign="top" align="center">0.000<xref ref-type="table-fn" rid="table-fn3">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">mPAP (mmHg)</td>
<td valign="top" align="center">35.7&#x2009;&#x00B1;&#x2009;9.8</td>
<td valign="top" align="center">49.5&#x2009;&#x00B1;&#x2009;13.6</td>
<td valign="top" align="center">3.214</td>
<td valign="top" align="center">0.003<xref ref-type="table-fn" rid="table-fn3">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">PAWP (mmHg)</td>
<td valign="top" align="center">11.3&#x2009;&#x00B1;&#x2009;4.9</td>
<td valign="top" align="center">12.9&#x2009;&#x00B1;&#x2009;4.1</td>
<td valign="top" align="center">1.099</td>
<td valign="top" align="center">0.278</td>
</tr>
<tr>
<td valign="top" align="left">CO (L/min)</td>
<td valign="top" align="center">4.6&#x2009;&#x00B1;&#x2009;0.7</td>
<td valign="top" align="center">5.6&#x2009;&#x00B1;&#x2009;1.4</td>
<td valign="top" align="center">2.357</td>
<td valign="top" align="center">0.023<xref ref-type="table-fn" rid="table-fn3">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">PVR (Wood) unit</td>
<td valign="top" align="center">4.8&#x2009;&#x00B1;&#x2009;3.4</td>
<td valign="top" align="center">7.3&#x2009;&#x00B1;&#x2009;3.6</td>
<td valign="top" align="center">2.089</td>
<td valign="top" align="center">0.043<xref ref-type="table-fn" rid="table-fn3">&#x002A;</xref></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn2"><p>RAP, right atrial pressure; RVP, right ventricular pressure; sPAP, pulmonary artery systolic pressure; dPAP, pulmonary artery diastolic pressure; mPAP, mean pulmonary artery pressure; PAWP, pulmonary artery wedge pressure; CO, cardiac output; PVR, pulmonary vascular resistance.</p></fn>
<fn id="table-fn3"><label>&#x002A;</label><p>Compared with the control group <italic>P</italic>&#x2009;&#x003C;&#x2009;0.05.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T3" position="float"><label>Table 3</label>
<caption><p>Spearman&#x0027;s correlations between GDF-15 and the other factors in hemodynamic indexes.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Index</th>
<th valign="top" align="center"><italic>r</italic></th>
<th valign="top" align="center"><italic>P</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">RAP (mmHg)</td>
<td valign="top" align="center">0.186</td>
<td valign="top" align="center">0.222</td>
</tr>
<tr>
<td valign="top" align="left">RVP (mmHg)</td>
<td valign="top" align="center">0.411</td>
<td valign="top" align="center">0.005<xref ref-type="table-fn" rid="table-fn5">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">sPAP (mmHg)</td>
<td valign="top" align="center">0.434</td>
<td valign="top" align="center">0.003<xref ref-type="table-fn" rid="table-fn5">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">dPAP (mmHg)</td>
<td valign="top" align="center">0.545</td>
<td valign="top" align="center">&#x003C;0.001<xref ref-type="table-fn" rid="table-fn5">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">mPAP (mmHg)</td>
<td valign="top" align="center">0.522</td>
<td valign="top" align="center">&#x003C;0.001<xref ref-type="table-fn" rid="table-fn5">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">PAWP (mmHg)</td>
<td valign="top" align="center">&#x2212;0.043</td>
<td valign="top" align="center">0.781</td>
</tr>
<tr>
<td valign="top" align="left">CO (L/min)</td>
<td valign="top" align="center">0.377</td>
<td valign="top" align="center">0.011<xref ref-type="table-fn" rid="table-fn5">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">PVR (Wood) unit</td>
<td valign="top" align="center">0.303</td>
<td valign="top" align="center">0.043<xref ref-type="table-fn" rid="table-fn5">&#x002A;</xref></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn4"><p>RAP, right atrial pressure; RVP, right ventricular pressure; sPAP, pulmonary artery systolic pressure; dPAP, pulmonary artery diastolic pressure; mPAP, mean pulmonary artery pressure; PAWP, pulmonary artery wedge pressure; CO, cardiac output; PVR, pulmonary vascular resistance.</p></fn>
<fn id="table-fn5"><label>&#x002A;</label><p>Compared with the control group <italic>P</italic>&#x2009;&#x003C;&#x2009;0.05.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3c"><label>3.3.</label><title>Correlation analysis between GDF-15 and indexes of pulmonary arterial morphology</title>
<p>The average levels of Vd, elastic modulus, stiffness index &#x03B2;, lesion length, PAV and NT-proBNP in the GDF-15 &#x003C;1,200&#x2005;pg/ml group were lower than those in the GDF-15 &#x2265;1,200&#x2005;pg/ml group. The average levels of compliance, distensibility, and minimum lumen area were higher than those in the elevated GDF-15 &#x2265;1,200&#x2005;pg/ml group. The difference between the two groups was statistically significant (<italic>P</italic>&#x2009;&#x003C;&#x2009;0.05). There was no statistically significant difference in MWT, WTP, plaque load, plaque volume, and EEM-CSA between the two groups (<italic>P</italic>&#x2009;&#x003E;&#x2009;0.05), as is shown in <xref ref-type="table" rid="T4">Table&#x00A0;4</xref>. Spearman&#x0027;s correlation analysis results showed that the level of GDF-15 was negatively correlated with Compliance, Distensibility and Minimum Lumen Area, and positively correlated with Vd, elastic modulus, stiffness index &#x03B2;, lesion length, PAV and NT-proBNP (<italic>P</italic>&#x2009;&#x003C;&#x2009;0.05), as shown in <xref ref-type="table" rid="T5">Table&#x00A0;5</xref>.</p>
<table-wrap id="T4" position="float"><label>Table 4</label>
<caption><p>Results of IVUS measurements of patients in each GDF-15 group <inline-formula><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="IM3"><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mrow><mml:mover><mml:mi>x</mml:mi><mml:mo stretchy="false">&#x00AF;</mml:mo></mml:mover></mml:mrow><mml:mo>&#x00B1;</mml:mo><mml:mi>s</mml:mi></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:math></inline-formula>.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Index</th>
<th valign="top" align="center">GDF-15 &#x003C;1,200&#x2005;pg/ml Group (<italic>n</italic>&#x2009;&#x003D;&#x2009;12)</th>
<th valign="top" align="center">GDF-15 &#x2265;1,200&#x2005;pg/ml Group (<italic>n</italic>&#x2009;&#x003D;&#x2009;33)</th>
<th valign="top" align="center"><italic>t</italic></th>
<th valign="top" align="center"><italic>P</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Vd (mm)</td>
<td valign="top" align="center">4.2&#x2009;&#x00B1;&#x2009;0.2</td>
<td valign="top" align="center">4.4&#x2009;&#x00B1;&#x2009;0.3</td>
<td valign="top" align="center">2.135</td>
<td valign="top" align="center">0.039<xref ref-type="table-fn" rid="table-fn7">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">MWT (mm)</td>
<td valign="top" align="center">0.27&#x2009;&#x00B1;&#x2009;0.03</td>
<td valign="top" align="center">0.29&#x2009;&#x00B1;&#x2009;0.03</td>
<td valign="top" align="center">1.978</td>
<td valign="top" align="center">0.054</td>
</tr>
<tr>
<td valign="top" align="left">WTP (&#x0025;)</td>
<td valign="top" align="center">12.7&#x2009;&#x00B1;&#x2009;0.8</td>
<td valign="top" align="center">13.1&#x2009;&#x00B1;&#x2009;0.7</td>
<td valign="top" align="center">1.632</td>
<td valign="top" align="center">0.110</td>
</tr>
<tr>
<td valign="top" align="left">Compliance (10&#x2013;2&#x2005;mm<sup>2</sup>/mmHg)</td>
<td valign="top" align="center">24.5&#x2009;&#x00B1;&#x2009;4.6</td>
<td valign="top" align="center">21.1&#x2009;&#x00B1;&#x2009;5.1</td>
<td valign="top" align="center">2.027</td>
<td valign="top" align="center">0.049<xref ref-type="table-fn" rid="table-fn7">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Distensibility (&#x0025;/mmHg)</td>
<td valign="top" align="center">2.6&#x2009;&#x00B1;&#x2009;0.4</td>
<td valign="top" align="center">2.2&#x2009;&#x00B1;&#x2009;0.5</td>
<td valign="top" align="center">2.428</td>
<td valign="top" align="center">0.019<xref ref-type="table-fn" rid="table-fn7">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Elastic modulus (mmHg)</td>
<td valign="top" align="center">83.2&#x2009;&#x00B1;&#x2009;18.7</td>
<td valign="top" align="center">168.3&#x2009;&#x00B1;&#x2009;16.3</td>
<td valign="top" align="center">14.900</td>
<td valign="top" align="center">&#x003C;0.001<xref ref-type="table-fn" rid="table-fn7">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Stiffness index &#x03B2;</td>
<td valign="top" align="center">3.9&#x2009;&#x00B1;&#x2009;0.4</td>
<td valign="top" align="center">4.8&#x2009;&#x00B1;&#x2009;0.6</td>
<td valign="top" align="center">4.804</td>
<td valign="top" align="center">&#x003C;0.001<xref ref-type="table-fn" rid="table-fn7">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Minimum lumen area (mm<sup>2</sup>)</td>
<td valign="top" align="center">3.1&#x2009;&#x00B1;&#x2009;0.7</td>
<td valign="top" align="center">2.5&#x2009;&#x00B1;&#x2009;0.6</td>
<td valign="top" align="center">2.838</td>
<td valign="top" align="center">0.007<xref ref-type="table-fn" rid="table-fn7">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Lesion length (mm)</td>
<td valign="top" align="center">19.2&#x2009;&#x00B1;&#x2009;5.7</td>
<td valign="top" align="center">24.3&#x2009;&#x00B1;&#x2009;4.9</td>
<td valign="top" align="center">2.957</td>
<td valign="top" align="center">0.005<xref ref-type="table-fn" rid="table-fn7">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Plaque load (&#x0025;)</td>
<td valign="top" align="center">69.8&#x2009;&#x00B1;&#x2009;9.2</td>
<td valign="top" align="center">74.1&#x2009;&#x00B1;&#x2009;7.9</td>
<td valign="top" align="center">1.546</td>
<td valign="top" align="center">0.130</td>
</tr>
<tr>
<td valign="top" align="left">Plaque volume (mm<sup>3</sup>)</td>
<td valign="top" align="center">165.8&#x2009;&#x00B1;&#x2009;68.5</td>
<td valign="top" align="center">179.8&#x2009;&#x00B1;&#x2009;75.1</td>
<td valign="top" align="center">0.565</td>
<td valign="top" align="center">0.575</td>
</tr>
<tr>
<td valign="top" align="left">EEM-CSA (mm<sup>2</sup>)</td>
<td valign="top" align="center">13.2&#x2009;&#x00B1;&#x2009;2.9</td>
<td valign="top" align="center">12.3&#x2009;&#x00B1;&#x2009;3.1</td>
<td valign="top" align="center">0.875</td>
<td valign="top" align="center">0.386</td>
</tr>
<tr>
<td valign="top" align="left">PAV (&#x0025;)</td>
<td valign="top" align="center">54.1&#x2009;&#x00B1;&#x2009;6.9</td>
<td valign="top" align="center">59.5&#x2009;&#x00B1;&#x2009;7.2</td>
<td valign="top" align="center">2.248</td>
<td valign="top" align="center">0.030<xref ref-type="table-fn" rid="table-fn7">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">NT-proBNP, ng/L</td>
<td valign="top" align="center">1,132.3&#x2009;&#x00B1;&#x2009;447.6</td>
<td valign="top" align="center">1,697.2&#x2009;&#x00B1;&#x2009;327.0</td>
<td valign="top" align="center">4.633</td>
<td valign="top" align="center">&#x003C;0.001<xref ref-type="table-fn" rid="table-fn7">&#x002A;</xref></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn6"><p>Vd, vascular diameter; MWT, mean wall thickness; WTP, percentage of wall thickness; EM-CSA, cross-sectional area of the outer elastic membrane; PAV, percentage of plaque volume; NT-proBNP, N-terminal B-type natriuretic peptide precursor.</p></fn>
<fn id="table-fn7"><label>&#x002A;</label><p>Compared with the control group <italic>P</italic>&#x2009;&#x003C;&#x2009;0.05.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T5" position="float"><label>Table 5</label>
<caption><p>Spearman&#x0027;s correlations between GDF-15 and the other factors in IVUS measurements.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Index</th>
<th valign="top" align="center"><italic>r</italic></th>
<th valign="top" align="center"><italic>P</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Vd (mm)</td>
<td valign="top" align="center">0.323</td>
<td valign="top" align="center">0.030<xref ref-type="table-fn" rid="table-fn9">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">MWT (mm)</td>
<td valign="top" align="center">0.086</td>
<td valign="top" align="center">0.576</td>
</tr>
<tr>
<td valign="top" align="left">WTP (&#x0025;)</td>
<td valign="top" align="center">&#x2212;0.119</td>
<td valign="top" align="center">0.435</td>
</tr>
<tr>
<td valign="top" align="left">Compliance (10&#x2013;2&#x2005;mm<sup>2</sup>/mmHg)</td>
<td valign="top" align="center">&#x2212;0.541</td>
<td valign="top" align="center">&#x003C;0.001<xref ref-type="table-fn" rid="table-fn9">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Distensibility (&#x0025;/mmHg)</td>
<td valign="top" align="center">&#x2212;0.566</td>
<td valign="top" align="center">&#x003C;0.001<xref ref-type="table-fn" rid="table-fn9">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Elastic modulus (mmHg)</td>
<td valign="top" align="center">0.640</td>
<td valign="top" align="center">&#x003C;0.001<xref ref-type="table-fn" rid="table-fn9">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Stiffness index &#x03B2;</td>
<td valign="top" align="center">0.437</td>
<td valign="top" align="center">0.003<xref ref-type="table-fn" rid="table-fn9">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Minimum lumen area (mm<sup>2</sup>)</td>
<td valign="top" align="center">&#x2212;0.326</td>
<td valign="top" align="center">0.029<xref ref-type="table-fn" rid="table-fn9">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Lesion length (mm)</td>
<td valign="top" align="center">0.303</td>
<td valign="top" align="center">0.043<xref ref-type="table-fn" rid="table-fn9">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Plaque load (&#x0025;)</td>
<td valign="top" align="center">0.245</td>
<td valign="top" align="center">0.104</td>
</tr>
<tr>
<td valign="top" align="left">Plaque volume (mm<sup>3</sup>)</td>
<td valign="top" align="center">&#x2212;0.067</td>
<td valign="top" align="center">0.661</td>
</tr>
<tr>
<td valign="top" align="left">EEM-CSA (mm<sup>2</sup>)</td>
<td valign="top" align="center">&#x2212;0.002</td>
<td valign="top" align="center">0.989</td>
</tr>
<tr>
<td valign="top" align="left">PAV (&#x0025;)</td>
<td valign="top" align="center">0.385</td>
<td valign="top" align="center">0.009<xref ref-type="table-fn" rid="table-fn9">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">NT-proBNP, ng/L</td>
<td valign="top" align="center">0.582</td>
<td valign="top" align="center">&#x003C;0.001<xref ref-type="table-fn" rid="table-fn9">&#x002A;</xref></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-fn8"><p>Vd, vascular diameter, MWT, mean wall thickness, WTP, percentage of wall thickness, EM-CSA, cross-sectional area of the outer elastic membrane; PAV, percentage of plaque volume; NT-proBNP, N-terminal B-type natriuretic peptide precursor.</p></fn>
<fn id="table-fn9"><label>&#x002A;</label><p>Compared with the control group <italic>P</italic>&#x2009;&#x003C;&#x2009;0.05.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3d"><label>3.4.</label><title>Comparison of prognosis of patients in different GDF-15 groups</title>
<p>As of the end of the study, the average follow-up period of PAH patients was 32.47&#x2009;&#x00B1;&#x2009;1.28 months (mean&#x2009;&#x00B1;&#x2009;standard deviation). During the follow-up, 8 patients were lost to follow-up due to all-cause mortality, including 2 systemic lupus erythematosus-related PAHs, 1 mixed connective tissue disease-related PAH, 1 systemic sclerosis-related PAH, 2 IPAHs, 1 portal PAH, and 1 congenital heart disease-related PAH.</p>
<p>The GDF-15 &#x003C;1,200&#x2005;pg/ml group had a 1-year survival rate of 100&#x0025; and a 3-year survival rate of 91.7&#x0025;. The GDF-15 &#x2265;1,200&#x2005;pg/ml group had a 1-year survival rate of 87.9&#x0025; and a 3-year survival rate of 78.8&#x0025;. Based on the Kaplan Meier method, there was no statistically significant difference in the survival rate between the two groups (<italic>P</italic>&#x2009;&#x003E;&#x2009;0.05), as is shown in <xref ref-type="table" rid="T6">Table&#x00A0;6</xref> and <xref ref-type="fig" rid="F1">Figure&#x00A0;1</xref>.</p>
<fig id="F1" position="float"><label>Figure 1</label>
<caption><p>Survival curves of different GDF-15 groups.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fcvm-10-1085122-g001.tif"/>
</fig>
<table-wrap id="T6" position="float"><label>Table 6</label>
<caption><p>Comparison of survival rates of different GDF-15 groups.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left" rowspan="2">Group</th>
<th valign="top" align="center" colspan="2">Survival rate</th>
<th valign="top" align="center" rowspan="2"><italic>&#x03C7;</italic><sup>2</sup></th>
<th valign="top" align="center" rowspan="2"><italic>P</italic> value</th>
</tr>
<tr>
<th valign="top" align="center">1 year</th>
<th valign="top" align="center">3 years</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">GDF-15 &#x003C;1,200&#x2005;pg/ml Group (<italic>n</italic>&#x2009;&#x003D;&#x2009;12)</td>
<td valign="top" align="center">100&#x0025;</td>
<td valign="top" align="center">91.7&#x0025;</td>
<td valign="top" align="center" rowspan="2">1.060</td>
<td valign="top" align="center" rowspan="2">0.303</td>
</tr>
<tr>
<td valign="top" align="left">GDF-15 &#x2265;1,200&#x2005;pg/ml Group (<italic>n</italic>&#x2009;&#x003D;&#x2009;33)</td>
<td valign="top" align="center">87.9&#x0025;</td>
<td valign="top" align="center">78.8&#x0025;</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion"><label>4.</label><title>Discussion</title>
<p>Pulmonary arterial hypertension-associated connective tissue disease (PAH-CTD) is a great challenge for both patients and physicians (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>), and its common pathological changes are arteriolar intima-media hypertrophy and arteriolar myosification. In order to explore pulmonary vascular abnormalities in patients with PAH, IVUS can often be used to observe the morphological changes of vessels in each layer, measure mechanical properties, and evaluate vascular function through quantitative and qualitative analysis (<xref ref-type="bibr" rid="B32">32</xref>). Studies have shown that GDF-15, as an important cardiovascular protective factor, is closely related to the diagnosis and prognosis of many cardiovascular diseases (<xref ref-type="bibr" rid="B15">15</xref>). Therefore, in this study, RHC and IVUS were used to detect pulmonary hemodynamics and pulmonary vascular morphology, and ELISA was used to detect serum GDF-15 level to investigate the correlation between serum GDF-15 and pulmonary hemodynamics and pulmonary vascular morphological changes in patients with pulmonary hypertension.</p>
<p>Studies have found that GDF-15 is associated with the severity of pulmonary artery disease and the increase in GDF-15 level is significantly correlated with increased right atrial mean pressure, increased pulmonary capillary pressure, decreased mixed venous oxygen saturation, and increased uric acid and NT-proBNP levels (<xref ref-type="bibr" rid="B33">33</xref>). However, the increase in GDF-15 level had no significant correlation with pulmonary artery mean pressure, cardiac index, and cardiac output (<xref ref-type="bibr" rid="B34">34</xref>). The results of our study show that there was no statistically significant difference in the average levels of right atrial pressure, pulmonary wedge pressure, and cardiac output between normal GDF-15 group and elevated GDF-15 elevated group. The average levels of right ventricular pressure, pulmonary systolic pressure, pulmonary diastolic pressure, mean pulmonary artery pressure, pulmonary vascular resistance, and other indicators in the elevated GDF-15 group were higher than those in the normal GDF-15 group. This corroborates previous findings and suggests that GDF-15 is associated with the severity of pulmonary artery disease. Pulmonary artery pressure is an index that directly reflects the severity of a patient&#x0027;s condition. The results of this study show that the GDF-15 level is significantly related to pulmonary artery pressure, suggesting the value of GDF-15 in reflecting the severity of the disease. The prognosis of PAH patients depends more on right heart function than pulmonary artery pressure. Right heart index, cardiac output, and NT-proBNP are commonly used indexes to reflect patient heart function. This study shows that GDF-15 level is significantly related to these indices, which indirectly reflects the value of GDF-15 in predicting the right heart function of patients. Pulmonary vascular resistance is a direct cause of PAH and an indicator of the severity of the patient condition. The results of this study show that the GDF-15 level significantly correlates to pulmonary vascular resistance, showing its value in reflecting the severity of the disease. Our research results suggest that the elevated GDF-15 group has higher pulmonary artery pressure and pulmonary vascular resistance, which indirectly reflects that compared with the normal GDF-15 group, the hemodynamic changes in the elevated GDF-15 group are more serious and potentially harmful and need more attention and active treatment. The results of our study differ from other studies, however, a study with a larger sample size is likely to lead to more reliable conclusions.</p>
<p>So far, there is no report on the correlation between GDF-15 and pulmonary vascular morphological changes. We are the first to study the correlation between GDF-15 and morphological changes in pulmonary blood vessels. The average levels of Vd, elastic modulus, stiffness index &#x03B2;, lesion length, PAV, other indexes, the average levels of compliance, distensibility, and minimum lumen area in the elevated GDF-15 group were higher than those in the normal GDF-15 group. But there was no statistically significant difference in MWT, WTP, plaque load, plaque volume, and EEM-CSA between the two groups. This means that pulmonary vascular disease is more serious in patients with elevated GDF-15. Such patients need early and timely prevention and intervention, to improve hemodynamics and even reverse the deterioration of pulmonary vascular performance. Our research confirms that GDF-15 can reflect the severity of morphological changes in pulmonary blood vessels in PAH patients.</p>
<p>In addition, it is reported that GDF-15 is an effective marker of adverse events such as acute coronary syndrome, heart failure, and acute pulmonary embolism (<xref ref-type="bibr" rid="B35">35</xref>&#x2013;<xref ref-type="bibr" rid="B37">37</xref>). Recent studies show that GDF-15 is also an independent marker of adverse clinical events in patients with IPAH (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B33">33</xref>). It can be used together with other markers to assess the risk of diseases and evaluate the therapeutic effect. As per a study, GDF-15 in systemic sclerosis patients with pulmonary arterial hypertension increased significantly and the survival rate decreased compared to those without pulmonary arterial hypertension (<xref ref-type="bibr" rid="B17">17</xref>). Laurie et al. conducted a prognostic study on 103 PAH patients (<xref ref-type="bibr" rid="B38">38</xref>). Their study confirmed that GDF-15 increased in 76&#x0025; of patients with pulmonary hypertension, and found that the increased GDF-15 level was related to older age, higher NYHA level, shorter 6&#x2005;min walking distance, higher average right atrial pressure, and higher NT-proBNP. They also found that GDF-15 was significantly associated with the risk of death or lung transplantation in PAH patients, independent of age and NT-proBNP levels, and had a predictive value. In addition, normal GDF-15 ruled out the risk of death or transplantation within 2 years after diagnosis of pulmonary arterial hypertension. Therefore, GDF-15 may become a promising biomarker, and may be used as a predictor of mortality in PAH patients of various etiologies.</p>
<p>However, due to the lack of tissue specificity, the role of GDF-15 in future biomarker-guided therapy is uncertain. Our results showed that there was no statistically significant difference in survival between the normal GDF-15 group and the elevated GDF-15 group, which may be related to our small sample size, or it may be the elevated levels of GDF-15 are linked to increased inflammation in the more ill patient, or related to a subclass of PAH, which warrants more detailed study in the future. In addition, this study only focused on a single marker, but did not evaluate the combined application value of GDF-15 and existing risk scores. Therefore, in future research, it is necessary to increase the sample size for further study on prognosis correlation, and further research is needed to confirm the predictive ability of GDF-15 and prognosis of patients with pulmonary arterial hypertension.</p>
</sec>
<sec id="s5" sec-type="conclusions"><label>5.</label><title>Conclusion</title>
<p>Our results show that compared with the normal GDF-15 group, the elevated GDF-15 group had higher pulmonary artery pressure, pulmonary vascular resistance, Vd, elastic modulus, stiffness index &#x03B2;, lesion length, and PAV level, and lower compliance, distension, and minimum lumen area. Furthermore, the elevated GDF-15 group had more severe pulmonary vascular disease lesions, and more serious and potentially harmful changes in hemodynamics and vascular wall morphology. In summary, GDF-15 can reflect the severity and potential harm of hemodynamic changes and morphological changes in patients with PAH, which provides early and timely prevention and intervention for such patients clinically to improve hemodynamics provide evidence.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability"><title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7"><title>Ethics statement</title>
<p>This study was conducted with approval from the Ethics Committee of People&#x0027;s Hospital of Xinjiang Uygur Autonomous Region (No. KY2019051567). The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s8"><title>Author contributions</title>
<p>Conception and design of the research: YM, GL. Acquisition of data: HC, ZG, XY, AT. Analysis and interpretation of the data: HC, ZG, XY, AT. Statistical analysis: HC, YM. Obtaining financing: YM. Writing of the manuscript: YM. Critical revision of the manuscript for intellectual content: GL, HC. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s9" sec-type="funding-information"><title>Funding</title>
<p>This study was funded by Natural Science Foundation of Xinjiang Autonomous Region (No. 2019D01C155).</p>
</sec>
<sec id="s10" sec-type="COI-statement"><title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s11" sec-type="disclaimer"><title>Publisher&#x0027;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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