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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2024.1340999</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Brief Research Report</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Relevance of histopathological findings for predictive scoring of short-term treatment response to plasma exchange in severe ANCA-associated renal vasculitides</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Hakroush</surname>
<given-names>Samy</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/223312"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Korsten</surname>
<given-names>Peter</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/283116"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Str&#xf6;bel</surname>
<given-names>Philipp</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/751710"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Tampe</surname>
<given-names>Bj&#xf6;rn</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/576062"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/project-administration/"/>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/software/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Institute of Pathology, University Medical Center G&#xf6;ttingen</institution>, <addr-line>G&#xf6;ttingen</addr-line>, <country>Germany</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>SYNLAB Pathology Hannover, SYNLAB Holding Germany</institution>, <addr-line>Augsburg</addr-line>, <country>Germany</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Institute of Pathology, Klinikum Bremen-Mitte, School of Medicine of the University of G&#xf6;ttingen</institution>, <addr-line>Bremen</addr-line>, <country>Germany</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Nephrology and Rheumatology, University Medical Center G&#xf6;ttingen</institution>, <addr-line>G&#xf6;ttingen</addr-line>, <country>Germany</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Rheumatology and Clinical Immunology, St Josef-Stift Sendenhorst</institution>, <addr-line>Sendenhorst</addr-line>, <country>Germany</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Xuming Tang, National Institutes of Health (NIH), United States</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Despina Michailidou, University of Oklahoma Health Sciences Center, United States</p>
<p>Murat Inanc, Istanbul University, T&#xfc;rkiye</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Bj&#xf6;rn Tampe, <email xlink:href="mailto:bjoern.tampe@med.uni-goettingen.de">bjoern.tampe@med.uni-goettingen.de</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>06</day>
<month>02</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>15</volume>
<elocation-id>1340999</elocation-id>
<history>
<date date-type="received">
<day>19</day>
<month>11</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>22</day>
<month>01</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Hakroush, Korsten, Str&#xf6;bel and Tampe</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Hakroush, Korsten, Str&#xf6;bel and Tampe</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Introduction</title>
<p>Rapidly progressive glomerulonephritis (RPGN) is characterized by a rapid loss of kidney function, affecting both renal and overall patient survival. Antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) is a small vessel vasculitis affecting multiple organ systems including the kidney, and among most frequent causes of RPGN. We here aimed to validate a recently described scoring system for short-term treatment response to therapeutic plasma exchange (PLEX) in a well-characterized and independent cohort of severe renal AAV presenting with RPGN. Furthermore, we compared this scoring with established classification systems in renal AAV including histopathological findings.</p>
</sec>
<sec>
<title>Methods</title>
<p>We here directly compare the scoring system with retrospective data about PLEX treatment in our own clinical practice and according to current recommendations in a cohort of 53 patients with severe AAV presenting with RPGN confirmed by kidney biopsy.</p>
</sec>
<sec>
<title>Results</title>
<p>We here confirm that PLEX scoring is capable to identify patients at risk for short-term poor outcome in severe AAV presenting with RPGN (<italic>p&lt;0.0001</italic>). Furthermore, multiple stepwise regression analysis revealed that the PLEX score with renal biopsy performed best to predict poor outcome in this patient population (<italic>p&lt;0.0001</italic>).</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Our observations underscore the relevance of performing a kidney biopsy in this patient population that is often challenged in the setting of intensive care treatment, requirement of KRT with need for anticoagulation and bleeding risk. Therefore, validation of our observations and this recent scoring system for treatment response to PLEX in independent cohorts would be of great clinical relevance in the treatment of patients with severe AAV presenting with RPGN.</p>
</sec>
</abstract>
<kwd-group>
<kwd>ANCA-associated renal vasculitis</kwd>
<kwd>AAV</kwd>
<kwd>rapid-progressive glomerulonephritis</kwd>
<kwd>RPGN</kwd>
<kwd>therapeutic plasma exchange</kwd>
<kwd>plex</kwd>
<kwd>clinicopathological scoring</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="17"/>
<page-count count="6"/>
<word-count count="2784"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Autoimmune and Autoinflammatory Disorders : Autoimmune Disorders</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Rapidly progressive glomerulonephritis (RPGN) is an acute kidney injury (AKI) condition that significantly impacts both, renal and overall patient survival. A primary contributor to RPGN is antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV), a small vessel vasculitis affecting various organ systems, prominently the kidneys. Berden et&#xa0;al. classified renal involvement in AAV based on histopathological features into four classes (focal, crescentic, mixed, and sclerotic), with the sclerotic class (more than 50% sclerotic glomeruli) associated with the poorest long-term renal survival rates (<xref ref-type="bibr" rid="B1">1</xref>).</p>
<p>To enhance predictive accuracy for end-stage kidney disease (ESKD) in AAV patients, Brix et&#xa0;al. proposed the ANCA renal risk score (ARRS), incorporating baseline glomerular filtration rate (GFR) alongside histopathological findings such as the percentage of normal glomeruli and tubular atrophy/interstitial fibrosis (<xref ref-type="bibr" rid="B2">2</xref>). While these classifications are geared towards predicting long-term ESKD, a subgroup of severe AAV presents with RPGN necessitating kidney replacement therapy (KRT) during the initial disease phase (<xref ref-type="bibr" rid="B3">3</xref>). Given the impact of disease severity on AKI, KRT requirement, and short-term renal recovery in critically ill patients, identifying predictors for KRT requirement and renal recovery after initiating remission induction therapy is crucial (<xref ref-type="bibr" rid="B4">4</xref>). Recommended regimens for severe AAV involve aggressive immunosuppressive therapy to improve outcomes (<xref ref-type="bibr" rid="B5">5</xref>). However, some patients may still require KRT despite intensive immunosuppressive therapy. In such cases, therapeutic plasma exchange (PLEX) is recommended to deplete pathogenic ANCA autoantibodies, particularly in instances of severe deterioration of kidney function due to RPGN in new onset or relapsing disease (<xref ref-type="bibr" rid="B5">5</xref>&#x2013;<xref ref-type="bibr" rid="B9">9</xref>). The MEPEX trial demonstrated that PLEX increased renal recovery rates in severe AAV cases though long-term outcomes (death or ESKD) did not significantly differ among treatment groups (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>). These findings were recently reinforced by the PEXIVAS trial, which reported no long-term benefits in outcomes for patients receiving PLEX in addition to standard immunosuppressive therapy (<xref ref-type="bibr" rid="B11">11</xref>). However, the inclusion of patients with less severe renal dysfunction may limit the generalizability of these findings to critically ill patients at risk for KRT and death. Nevertheless, PEXIVAS appears to confirm data from MEPEX, suggesting that PLEX can temporarily reduce the risk of ESKD and supported by a meta-analysis of seven trials with 999 participants indicating a reduced risk of ESKD at 12 months with PLEX (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>). In this context, an easily applicable scoring system has been proposed to identify patients who would benefit from PLEX (<xref ref-type="bibr" rid="B13">13</xref>). Using a model dependent on covariables, the average treatment effect of PLEX for those with recommended treatment showed an absolute risk reduction for KRT or death after 12 months by 24.6% (<xref ref-type="bibr" rid="B13">13</xref>). This study aims to validate these findings regarding the short-term treatment response to PLEX in a well-characterized and independent cohort of severe renal AAV presenting with RPGN (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>). Additionally, we compare this scoring system with established classification systems in renal AAV, including histopathological findings.</p>
</sec>
<sec id="s2">
<title>Methods</title>
<sec id="s2_1">
<title>Study population</title>
<p>We here directly compare the scoring system with retrospective data about PLEX treatment in our own clinical practice and according to current recommendations in patients presenting with a serum creatinine levels above 5.7 mg/dL (500 &#x3bc;mol/L) and/or requirement of KRT in a cohort of 53 AAV patients with RPGN confirmed by kidney biopsy, detailed information about critical illness in this patient cohort has recently been described (<xref ref-type="bibr" rid="B14">14</xref>&#x2013;<xref ref-type="bibr" rid="B16">16</xref>).</p>
</sec>
<sec id="s2_2">
<title>Histopathological examination</title>
<p>Two renal pathologists independently assessed kidney biopsies while being unaware of the data analysis. Each glomerulus within a renal biopsy specimen was individually evaluated for the presence of necrosis, crescents, and global sclerosis. Subsequently, the percentage of glomeruli exhibiting any of these features was determined as a fraction of the total number of glomeruli in each renal biopsy. In addition to these categories, the extent of interstitial fibrosis/tubular atrophy (IF/TA) was quantified. The histopathological subgrouping, following the criteria of Berden et&#xa0;al. (focal, crescentic, mixed, or sclerotic class), and the ARRS classification as per Brix et&#xa0;al. (low, medium, or high risk), were then performed based on these assessments (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). As described recently, scoring to predict treatment response to PLEX was performed accordingly (individual items are presented in <xref ref-type="table" rid="T1">
<bold>Tables&#xa0;1</bold>
</xref>, <xref ref-type="table" rid="T2">
<bold>2</bold>
</xref>) (<xref ref-type="bibr" rid="B13">13</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Variables for the score without renal biopsy.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Variable</th>
<th valign="middle" align="center">Total cohort<break/>n=53</th>
<th valign="middle" align="center">PLEX-R<break/>n=11</th>
<th valign="middle" align="center">No PLEX-R<break/>n=42</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age &gt;45 years &#x2212; n (%)<break/>MPA vasculitis &#x2212; n (%)<break/>PR3-ANCA positive &#x2212; n (%)<break/>MPO-ANCA positive &#x2212; n (%)<break/>Serum creatinine 251-400 &#xb5;mol/L &#x2212; n (%)<break/>Serum creatinine 401-600 &#xb5;mol/L &#x2212; n (%)<break/>Serum creatinine &gt;600 &#xb5;mol/L &#x2212; n (%)</td>
<td valign="top" align="center">47 (88.7)<break/>26 (49.1)<break/>27 (50.9)<break/>26 (49.1)<break/>13 (24.5)<break/>
<break/>9 (17)<break/>
<break/>6 (11.3)</td>
<td valign="top" align="center">10 (90.9)<break/>10 (90.9)<break/>0 (0)<break/>11 (100)<break/>0 (0)<break/>
<break/>5 (45.5)<break/>
<break/>6 (54.5)</td>
<td valign="top" align="center">37 (88.1)<break/>16 (38.1)<break/>27 (64.3)<break/>15 (35.7)<break/>13 (31)<break/>
<break/>4 (9.5)<break/>
<break/>0 (0)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>ANCA, antineutrophil cytoplasmic antibody; MPA, microscopic polyangiitis; MPO, myeloperoxidase; PR3, proteinase 3.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Variables for the score with renal biopsy.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Variable</th>
<th valign="middle" align="center">Total cohort<break/>n=53</th>
<th valign="middle" align="center">PLEX-R<break/>n=24</th>
<th valign="middle" align="center">No PLEX-R<break/>n=29</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Male sex &#x2212; n (%)<break/>MPA vasculitis &#x2212; n (%)<break/>RLV &#x2212; n (%)<break/>PR3-ANCA positive &#x2212; n (%)<break/>MPO-ANCA positive &#x2212; n (%)<break/>Serum creatinine 251-400 &#xb5;mol/L &#x2212; n (%)<break/>Serum creatinine 401-600 &#xb5;mol/L &#x2212; n (%)<break/>Serum creatinine &gt;600 &#xb5;mol/L &#x2212; n (%)<break/>Brix score &#x2265;7 &#x2212; n (%)<break/>Berden classification: crescentic class &#x2212; n (%)<break/>Berden classification: mixed class &#x2212; n (%)</td>
<td valign="top" align="center">30 (56.6)<break/>26 (49.1)<break/>9 (17)<break/>27 (50.9)<break/>26 (49.1)<break/>13 (24.5)<break/>
<break/>9 (17)<break/>
<break/>6 (11.3)<break/>
<break/>10 (18.9)<break/>17 (32.1)<break/>
<break/>7 (13.2)</td>
<td valign="top" align="center">18 (75)<break/>17 (70.8)<break/>8 (33.3)<break/>8 (33.3)<break/>16 (66.7)<break/>8 (33.3)<break/>
<break/>9 (37.5)<break/>
<break/>6 (25)<break/>
<break/>10 (41.7)<break/>16 (66.7)<break/>
<break/>1 (4.2)</td>
<td valign="top" align="center">12 (41.4)<break/>9 (31)<break/>1 (3.4)<break/>19 (65.5)<break/>10 (34.5)<break/>5 (17.2)<break/>
<break/>0 (0)<break/>
<break/>0 (0)<break/>
<break/>0 (0)<break/>1 (3.4)<break/>
<break/>6 (20.7)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>ANCA, antineutrophil cytoplasmic antibody; MPA, microscopic polyangiitis; MPO, myeloperoxidase; PR3, proteinase 3:; RLV, renal limited vasculitis.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s2_3">
<title>ANCA autoantibody measurements</title>
<p>MPO-ANCA (reference range, &lt;3.5 IU/mL) and PR3-ANCA autoantibodies (reference range, &lt;2 IU/mL) were measured by immunoassay (ImmunoCAP 250, Thermo Fisher Scientific, Waltham, MA, USA).</p>
</sec>
<sec id="s2_4">
<title>Statistical methods</title>
<p>Variables were tested for normal distribution using the Shapiro&#x2013;Wilk test, statistical comparisons were not formally powered or prespecified. Survival-curve analyses were performed using the Kaplan-Meier method, comparison of survival curves was performed with log rank (Mantel-Cox) testing. Data analyses were performed with GraphPad Prism (version 8.4.3 for MacOS, GraphPad Software, San Diego, California, USA). Multiple regression analyses were performed using IBM SPSS Statistics (version 27 for MacOS, IBM Corporation, Armonk, NY, USA). A probability (<italic>p</italic>) value of &lt;0.05 was considered statistically significant.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>PLEX scoring identifies patients at risk for poor short-term outcome in severe AAV</title>
<p>In the total cohort, 20/53 (37.7%) of AAV patients received PLEX treatment (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>). Because PLEX in AAV is recommended in severe organ failure, short-term outcome within 30 days after diagnosis revealed that the outcome was worse in the PLEX-treated subgroup (requirement of KRT or death, <italic>p&lt;0.0001</italic>, <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref>). Group separation according to recently described scoring of patients that could benefit from PLEX (PLEX-R) confirmed that short-term outcome was poor in the PLEX-R subgroup as compared to patients where PLEX was not recommended (no PLEX-R, <italic>p&lt;0.0001</italic>, <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>, <xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1C, D</bold>
</xref>). These observations confirmed that PLEX scoring is capable to identify patients at risk for short-term poor outcome in severe AAV presenting with RPGN.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>PLEX scoring identifies patients at risk for poor short-term outcome in severe AAV. <bold>(A)</bold> Among the total number of 53 patients with severe AAV presenting with RPGN, subgroups receiving PLEX or not are shown. <bold>(B)</bold> Overall survival (KRT or death) within 30 days after diagnosis according to PLEX treatment or not are shown, comparison of survival curves was performed with log rank (Mantel-Cox) testing. <bold>(C)</bold> Among the total number of 53 patients with severe AAV presenting with RPGN, subgroups where PLEX was recommended (PLEX-R) or not are shown. <bold>(D)</bold> Overall survival (KRT or death) within 30 days after diagnosis according to PLEX recommendation (PLEX-R) or not are shown, comparison of survival curves was performed with log rank (Mantel-Cox) testing.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1340999-g001.tif"/>
</fig>
</sec>
<sec id="s3_2">
<title>Histopathological scoring of RPGN in severe AAV predicts short-term outcome in severe AAV</title>
<p>Next, we analyzed the PLEX score with renal biopsy (<xref ref-type="bibr" rid="B13">13</xref>). By including histopathological scoring, PLEX was recommended in 24/53 (45.3%) of patients (PLEX-R, <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>, <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). Again, we observed a strong association with short-term outcome by including histopathological classifications (<italic>p&lt;0.0001</italic>, <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>). Direct assessment of the Berden classification revealed poorest outcomes in crescentic and sclerotic class RPGN (<italic>p=0.0032</italic>, <xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2C, D</bold>
</xref>) (<xref ref-type="bibr" rid="B1">1</xref>). In addition, the Brix classification was capable to predict short-term outcome in severe AAV (<italic>p&lt;0.0001</italic>, <xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2E, F</bold>
</xref>) (<xref ref-type="bibr" rid="B2">2</xref>). In summary, these observations indicate that PLEX scoring with renal biopsy and the Brix classification effectively identified patients at risk for poor short-term outcome in severe RPGN.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Histopathological scoring of RPGN in severe AAV predicts short-term outcome in severe AAV. <bold>(A)</bold> Among the total number of 53 patients with severe AAV presenting with RPGN, subgroups where PLEX was recommended (PLEX-R) according to scoring with renal biopsy are shown. <bold>(B)</bold> Overall survival (KRT or death) within 30 days after diagnosis according to PLEX recommendation (PLEX-R) including histopathology are shown, comparison of survival curves was performed with log rank (Mantel-Cox) testing. <bold>(C, D)</bold> Classification according to Berden and overall survival (KRT or death) within 30 days after diagnosis are shown, comparison of survival curves was performed with log rank (Mantel-Cox) testing. <bold>(E, F)</bold> Classification according to Brix and overall survival (KRT or death) within 30 days after diagnosis are shown, comparison of survival curves was performed with log rank (Mantel-Cox) testing.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1340999-g002.tif"/>
</fig>
</sec>
<sec id="s3_3">
<title>PLEX score with renal biopsy is superior for short-term outcome prediction as compared to Berden and Brix classifications in severe AAV</title>
<p>Next, we aimed to identify the best prediction of short-term outcome by comparing all these scoring systems. As assessed by multiple regression, the PLEX score with renal biopsy was superior to identify patients at risk for KRT or death in severe AAV (<italic>p&lt;0.0001</italic>) as compared to PLEX scoring without renal biopsy (<italic>p=0.3246</italic>), or classification according to Berden (crescentic class: <italic>p=0.2453</italic>, sclerotic class: <italic>p=0.7212</italic>) and Brix (high risk class: <italic>p=0.9621</italic>, <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>) (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). In summary, we here validate application of the PLEX score for outcome prediction in severe AAV presenting with RPGN. Furthermore, comparative analysis revealed that the PLEX score with renal biopsy performed best to predict poor outcome in this patient population.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Multiple comparison between KRT/death and scoring systems for renal AAV.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left"/>
<th valign="middle" align="center">&#xdf;</th>
<th valign="middle" align="center">p value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">PLEX-R without renal biopsy<break/>PLEX-R with renal biopsy<break/>Berden classification: crescentic class<break/>Berden classification: sclerotic class<break/>Brix classification: high risk</td>
<td valign="top" align="center">0.1095<break/>0.7826<break/>-0.2001<break/>-0.0540<break/>-0.0070</td>
<td valign="top" align="center">
<italic>0.3246</italic>
<break/>
<italic>&lt;0.0001</italic>
<break/>
<italic>0.2453</italic>
<break/>
<italic>0.7212</italic>
<break/>
<italic>0.9621</italic>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>AAV, ANCA-associated vasculitis; PLEX, therapeutic plasma exchange; PLEX-R, PLEX recommended.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_4">
<title>Comparative analysis of recommendation and real-life performance of PLEX in severe AAV with RPGN</title>
<p>Based on our observations that PLEX scoring effectively identified patients at risk for poor short-term outcome in severe AAV presenting with RPGN, we finally compared recommendation of PLEX according to these scorings and real-time performance of PLEX in this retrospective patient cohort (<xref ref-type="bibr" rid="B13">13</xref>). PLEX scoring without renal biopsy revealed that PLEX was recommended (PLEX-R) in 7/20 (35%), while it was not recommended in 13/20 (65%) of patients that received PLEX (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>). Among the PLEX-R subgroup, PLEX was performed in 7/11 (63.6%, <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>). When PLEX was performed, PLEX was recommended in 15/20 (75%) of patients (PLEX-R, <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3C</bold>
</xref>). In the PLEX-R subgroup, PLEX was performed in 15/24 (62.5%) of patients (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3D</bold>
</xref>). These observations suggest that PLEX was performed in a considerable number of cases with severe AAV presenting with RPGN although not recommended according to predictive scoring of treatment response.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Comparative analysis of recommendation and real-life performance of PLEX in severe AAV with RPGN. <bold>(A)</bold> Among 20 patients receiving PLEX, subgroups where PLEX was recommended (PLEX-R) or not are shown. <bold>(B)</bold> Among 11 patients where PLEX was recommended (PLEX-R), subgroups where PLEX was performed or not are shown. <bold>(C)</bold> Among 20 patients receiving PLEX, subgroups where PLEX was recommended (PLEX-R) according to scoring with renal biopsy are shown. <bold>(D)</bold> Among 24 patients where PLEX was recommended (PLEX-R) according to scoring with renal biopsy are shown, subgroups where PLEX was performed or not are shown.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1340999-g003.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>For many years, PLEX has been primarily administered based on the extent of kidney involvement, with recommendations left to the discretion of treating physicians in patients with severe AAV presenting with RPGN (<xref ref-type="bibr" rid="B14">14</xref>). RPGN is a common manifestation in severe AAV and is linked to heightened morbidity and mortality. Kidney biopsy is frequently conducted in AAV cases to confirm the diagnosis of pauci-immune and crescentic RPGN. Beyond its diagnostic value, kidney biopsy also furnishes dependable prognostic information for predicting renal outcomes, as validated by the Berden and Brix classifications (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>).</p>
<p>The rationale behind employing PLEX in AAV is robust, particularly given evidence demonstrating the pathogenic role of ANCA autoantibodies in animal models (<xref ref-type="bibr" rid="B17">17</xref>). Therefore, there is a hypothesis that the early initiation of PLEX, aimed at removing ANCA autoantibodies, could enhance patient outcomes, especially during the period when concurrent immunosuppression is expected to be effective. Recent reports indicate that PLEX treatment did not yield an overall superior outcome in AAV patients, consistent with findings from the PEXIVAS trial (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B13">13</xref>). Nevertheless, PLEX demonstrated a tendency to be linked with lower incidences of KRT or death, although statistical significance was not achieved (<xref ref-type="bibr" rid="B11">11</xref>). Intriguingly, a subset of patients with aggressive kidney disease and minimal scarring seemed to benefit from PLEX. These patients were effectively identified using a scoring system that integrates baseline characteristics and renal histopathologic findings (<xref ref-type="bibr" rid="B13">13</xref>). Notably, in the sclerotic class, the addition of histopathological findings indicated that PLEX did not correlate with improved outcomes (<xref ref-type="bibr" rid="B13">13</xref>). Conversely, when considering the entire AAV population, PLEX treatment did not show a superior outcome at 12 months concerning KRT or death (<xref ref-type="bibr" rid="B13">13</xref>). These results align with the earlier mentioned PEXIVAS trial and underscore the significance of kidney biopsy findings in predicting short-term treatment response to PLEX in renal AAV (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B13">13</xref>).</p>
<p>By application of this PLEX scoring system, we here confirmed that PLEX scoring is capable to identify patients at short-term risk for KRT or death in severe AAV presenting with RPGN. Furthermore, the PLEX scoring identified a considerable subset of patients that could benefit from PLEX (although not treated), or not benefit from PLEX (although treated). This observation is especially relevant for treatment choice in severe AAV since PLEX may also cause severe side effects including increased risk for serious infections (<xref ref-type="bibr" rid="B12">12</xref>). Finally, we here show that the PLEX scoring that includes histopathological data is superior to predict KRT or death in patients with severe AAV presenting with RPGN as compared to PLEX scoring without renal biopsy, or classification according to Berden and Brix. This underscores the relevance of performing a kidney biopsy in this patient population that is often challenged in the setting of intensive care treatment, requirement of KRT with need for anticoagulation and bleeding risk. We are aware that these conclusions are derived from a relatively small patient cohort. However, we here particularly included patients with severe AAV presenting with RPGN where PLEX was performed in a considerable number of cases. Therefore, validation of our observations and this recent scoring system for treatment response to PLEX in independent cohorts would be of great clinical relevance in the treatment of patients with severe AAV presenting with RPGN.</p>
</sec>
<sec id="s5" sec-type="data-availability">
<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 author.</p>
</sec>
<sec id="s6" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by the Institutional Review Board of the University Medical Center G&#xf6;ttingen, Germany. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>SH: Data curation, Writing &#x2013; review &amp; editing. PK: Writing &#x2013; review &amp; editing. PS: Data curation, Writing &#x2013; review &amp; editing. BT: Conceptualization, Data curation, Formal Analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing &#x2013; original draft.</p>
</sec>
</body>
<back>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. We acknowledge support by the Open Access Publication Funds of the University of G&#xf6;ttingen.</p>
</sec>
<sec id="s9" 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>
<p>The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.</p>
</sec>
<sec id="s10" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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