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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.2023.1277017</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Risk factors and outcomes of IgA nephropathy recurrence after kidney transplantation: a systematic review and meta-analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Yue</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
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<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<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/software/"/>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Tang</surname>
<given-names>Yangming</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2262826"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Lin</surname>
<given-names>Tao</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/617096"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
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<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Song</surname>
<given-names>Turun</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="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2156020"/>
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</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Urology, West China Hospital, Sichuan University</institution>, <addr-line>Chengdu</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Transplant Center, West China Hospital, Sichuan University</institution>, <addr-line>Chengdu</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Stanislaw Stepkowski, University of Toledo, United States</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Gian Marco Ghiggeri, Giannina Gaslini Institute (IRCCS), Italy; Zeljko Kikic, Medical University of Vienna, Austria</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Turun Song, <email xlink:href="mailto:songturun1986@scu.edu.cn">songturun1986@scu.edu.cn</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>28</day>
<month>11</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>14</volume>
<elocation-id>1277017</elocation-id>
<history>
<date date-type="received">
<day>13</day>
<month>08</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>09</day>
<month>11</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Li, Tang, Lin and Song</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Li, Tang, Lin and Song</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>IgA nephropathy may recur in patients receiving kidney transplantation due to IgA nephropathy induced renal failure. The risk factors for recurrence are still at issue. The aim of this study was to conduct a systematic review and meta-analysis to assess risk factors and outcomes for IgA nephropathy recurrence.</p>
</sec>
<sec>
<title>Methods</title>
<p>We used PubMed, EMBASE, Cochrane Library, Web of Science, Scopus, CNKI, WanFang, VIP and CBM to search for relevant studies published in English and Chinese. Cohort or case-control studies reporting risk factors or outcomes for IgA nephropathy recurrence were included.</p>
</sec>
<sec>
<title>Results</title>
<p>Fifty-eight studies were included. Compare to no recurrence group, those with IgAN recurrence had younger age (mean difference [MD]=-4.27 years; risk ratio [RR]=0.96), younger donor age (MD=-2.19 years), shorter time from IgA nephropathy diagnosis to end stage renal disease (MD=-1.84 years; RR=0.94), shorter time on dialysis (MD=-3.14 months), lower human leukocyte-antigen (HLA) mismatches (MD=-0.11) and HLA-DR mismatches (MD=-0.13). HLA-B46 antigen (RR=0.39), anti-IL-2-R antibodies induction (RR=0.68), mycophenolate mofetil (RR=0.69), and pretransplant tonsillectomy (RR=0.43) were associated with less IgAN recurrence. Of note, male recipient gender (RR=1.17), related donor (RR=1.53), retransplantation (RR=1.43), hemodialysis (RR=1.68), no induction therapy (RR=1.73), mTOR inhibitor (RR=1.51), angiotensin-converting enzyme inhibitors or angiotensin-receptor blockers (RR=1.63) were risk factors for IgAN recurrence. Recurrence increased the risk of graft loss (RR=2.19).</p>
</sec>
<sec>
<title>Conclusions</title>
<p>This study summarized the risk factors for recurrence of IgA nephropathy after kidney transplantation. Well-designed prospective studies are warranted for validation.</p>
</sec>
<sec>
<title>Systematic Review Registration</title>
<p>
<uri xlink:href="https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=377480">https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=377480</uri>, identifier CRD42022377480.</p>
</sec>
</abstract>
<kwd-group>
<kwd>IgA nephropathy</kwd>
<kwd>risk factors</kwd>
<kwd>kidney transplantation</kwd>
<kwd>recurrence</kwd>
<kwd>graft survival</kwd>
<kwd>systematic review</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="87"/>
<page-count count="15"/>
<word-count count="7182"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Alloimmunity and Transplantation</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Immunoglobulin A nephropathy (IgAN) is the most prevalent glomerular disease worldwide that can lead to end-stage renal disease (ESRD) with a 10-year renal survival rate ranging from 57% to 91% (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). Kidney transplantation (KT) is the optimal treatment for patients with ESRD. However, there is a risk of IgAN recurrence in renal allografts with a recurrence rate of between 9% and 60%, depending on the time after KT and the IgAN recurrence increased the risk of graft failure (<xref ref-type="bibr" rid="B3">3</xref>).</p>
<p>The identification of risk factors for IgAN recurrence is crucial in pre-transplant evaluation, and many studies have been conducted to investigate this issue. However, the results are inconsistent, with some studies indicated that younger age, high human leukocyte-antigen (HLA) matching, and related donor are risk factors, while others found no significant association (<xref ref-type="bibr" rid="B4">4</xref>&#x2013;<xref ref-type="bibr" rid="B9">9</xref>). The discrepancy is largely due to the fact that most studies were single-center or had small sample sizes, highlighting the need for further research.</p>
<p>To date, no studies have systematically evaluated the risk factors for IgAN recurrence after KT. Therefore, the present systematic review and meta-analysis aimed to identify risk factors for IgAN recurrence and quantify its impact on clinical outcomes.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<p>The systematic review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 (PRISMA 2020) statement and the Meta-analysis of Observational Studies in Epidemiology (MOOSE) guidelines (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>). The protocol was registered in PROSPERO (CRD42022377480).</p>
<sec id="s2_1">
<label>2.1</label>
<title>Search strategy</title>
<p>English or Chinese literature from the following databases were considered: PubMed, EMBASE, Cochrane Library, Scopus, Web of Science, CNKI, Wanfang, CBM, and VIP (from inception to October 3, 2022). We developed a search strategy for each database (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;1</bold>
</xref>).</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Inclusion and exclusion criteria</title>
<p>Studies were included if they met the following criteria: (1) Patients: those who received a KT due to IgAN induced renal failure; (2) Exposure: various potential risk factors for IgAN recurrence, such as donor and recipient characteristics, primary disease characteristics, immunosuppressive therapy, biomarkers, etc.; (3) Outcome: recurrence of IgAN in kidney allografts; (4) Study design: prospective/retrospective cohort studies or case-control studies. Studies reporting the effect of recurrence on clinical outcomes were also included. The excluded criteria were as follows: (1) Excluded study types: reviews, systematic reviews, case reports, case series, animal studies, comments, conference abstracts, and letters without detailed data, (2) Difficult to differentiate the IgAN recurrence and <italic>de novo</italic> IgAN in allografts, (3) Studies published in languages other than English or Chinese.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Selection of studies and risk bias assessment</title>
<p>Two researchers (YL and YT) independently screened all relevant titles and abstracts of retrieved publications to identify eligible studies. The inclusion and exclusion criteria were then applied to the full text screening. A third reviewer (TS or TL) was consulted to resolve disputes and reach a consensus. The quality and methodological strength of the included studies were assessed by two researchers (YL and YT) using the Newcastle-Ottawa Scale (NOS) (<xref ref-type="bibr" rid="B12">12</xref>). Scores of 0-4, 5-6, and 7-9 correspond to poor, moderate, and high quality, respectively.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Data extraction and risk factors identification</title>
<p>Following items were extracted from selected studies: the name of the first author, year of publication, location, research design, demographic characteristics, inclusion and exclusion criteria, follow-up time, and effect of recurrence on outcomes. Number of events and total or associated effect sizes of all reported risk factors were extracted, and those risk factors assessed only by single publication were omitted. Zero counts in a two-by-two table were replaced by 0.5 according to continuity correction. For categorical variables, risk ratios (RRs) and 95% confidence intervals (CIs) were calculated independently by two researchers if reported as number of events and total. Considering that overlapping cohort studies may report different risk factors, the data for each risk factor was screened for overlapping cohort studies and only the studies with the largest sample size were included.</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Statistical analysis</title>
<p>For categorical variables, the pooled RRs and 95% CIs were calculated using the Inverse variance method. For continuous variables, mean differences (MDs) or standardized mean differences (SMDs) and 95% CIs were used to pool the differences between the recurrence and non-recurrence groups. The mean and standard deviation were estimated based on data reported as median (interquartile or full range) (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>). Heterogeneity across studies was assessed using the I&#xb2; statistic. If I&#xb2; &gt; 50%, the heterogeneity is considered to be significant, and the random effects model is used; otherwise, the fixed effect model is used. If the number of studies is greater than 10, Egger&#x2019;s test is used to evaluate publication bias. All analyses were performed using R software (version 4.2.1).</p>
</sec>
</sec>
<sec id="s3" sec-type="materials|methods">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Study selection</title>
<p>The study selection process is summarized in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>. The initial search retrieved 8077 records, and then 2787 duplicates were removed. After screening the titles and abstracts, 5162 records were excluded and 133 full text articles were assessed for eligibility. Out of these, 58 studies met the inclusion criteria and were included in the systematic review and meta-analysis (<xref ref-type="bibr" rid="B4">4</xref>&#x2013;<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B15">15</xref>&#x2013;<xref ref-type="bibr" rid="B66">66</xref>). The excluded studies and the reasons for their exclusion after full text screening are detailed in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;2</bold>
</xref>.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Study selection flowchart.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-14-1277017-g001.tif"/>
</fig>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Study characteristics</title>
<p>The characteristics of the included studies are summarized in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. The studies were published between 1984 and 2022, with 35 of them being published after 2010. The sample sizes ranged from 13 to 2501. The majority of the studies were retrospective cohort studies (56), while only two were case-control studies. The studies were conducted in various countries, with the majority being from Asia (23), Europe (22), and the USA (7).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Summary characteristics of included studies.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Study</th>
<th valign="middle" align="left">Study design</th>
<th valign="middle" align="left">Country or region</th>
<th valign="middle" align="left">Study <break/>interval</th>
<th valign="middle" align="left">Sample size</th>
<th valign="middle" align="left">Recurrence <break/>rate</th>
<th valign="middle" align="left">Female</th>
<th valign="middle" align="left">NOS<break/>points</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Ahn (2015)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">Korea</td>
<td valign="middle" align="left">1989.01-2005.12</td>
<td valign="middle" align="left">56</td>
<td valign="middle" align="left">30.36%</td>
<td valign="middle" align="left">46.43%</td>
<td valign="middle" align="left">6</td>
</tr>
<tr>
<td valign="middle" align="left">Allen (2017)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">Australia,<break/>New Zealand</td>
<td valign="middle" align="left">1985-2014</td>
<td valign="middle" align="left">2501</td>
<td valign="middle" align="left">9.00%</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="left">8</td>
</tr>
<tr>
<td valign="middle" align="left">Andresdottir (2001)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">Netherlands</td>
<td valign="middle" align="left">1969-1997</td>
<td valign="middle" align="left">79</td>
<td valign="middle" align="left">8.86%</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="left">6</td>
</tr>
<tr>
<td valign="middle" align="left">Avasare (2017)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">USA</td>
<td valign="middle" align="left">2001.01-2012.12</td>
<td valign="middle" align="left">62</td>
<td valign="middle" align="left">22.58%</td>
<td valign="middle" align="left">35.48%</td>
<td valign="middle" align="left">7</td>
</tr>
<tr>
<td valign="middle" align="left">Bachman (1986)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">USA</td>
<td valign="middle" align="left">1969-1984.05</td>
<td valign="middle" align="left">13</td>
<td valign="middle" align="left">46.15%</td>
<td valign="middle" align="left">7.69%</td>
<td valign="middle" align="left">5</td>
</tr>
<tr>
<td valign="middle" align="left">Bantis (2008)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">Germany</td>
<td valign="middle" align="left">1986-2004</td>
<td valign="middle" align="left">103</td>
<td valign="middle" align="left">15.53%</td>
<td valign="middle" align="left">20.39%</td>
<td valign="middle" align="left">6</td>
</tr>
<tr>
<td valign="middle" align="left">Berger (1984)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">France</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="left">32</td>
<td valign="middle" align="left">53.13%</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="left">6</td>
</tr>
<tr>
<td valign="middle" align="left">Berthoux (2008)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">France</td>
<td valign="middle" align="left">1979.03-2005.12</td>
<td valign="middle" align="left">116</td>
<td valign="middle" align="left">28.45%</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="left">6</td>
</tr>
<tr>
<td valign="middle" align="left">Berthoux (2015)</td>
<td valign="middle" align="left">Case-control</td>
<td valign="middle" align="left">France</td>
<td valign="middle" align="left">2000-2012</td>
<td valign="middle" align="left">60</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="left">40.00%</td>
<td valign="middle" align="left">7</td>
</tr>
<tr>
<td valign="middle" align="left">Berthoux (2017)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">France</td>
<td valign="middle" align="left">1985.01-2007.12</td>
<td valign="middle" align="left">96</td>
<td valign="middle" align="left">35.42%</td>
<td valign="middle" align="left">17.71%</td>
<td valign="middle" align="left">7</td>
</tr>
<tr>
<td valign="middle" align="left">Bj&#xf8;rneklett (2011)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">Norway</td>
<td valign="middle" align="left">1988-2004</td>
<td valign="middle" align="left">106</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="left">6</td>
</tr>
<tr>
<td valign="middle" align="left">Bumgardner (1998)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">USA</td>
<td valign="middle" align="left">1980.06-1994.12</td>
<td valign="middle" align="left">61</td>
<td valign="middle" align="left">29.51%</td>
<td valign="middle" align="left">34.43%</td>
<td valign="middle" align="left">8</td>
</tr>
<tr>
<td valign="middle" align="left">Chacko (2007)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">India</td>
<td valign="middle" align="left">1990.01-2004.05</td>
<td valign="middle" align="left">20</td>
<td valign="middle" align="left">25.00%</td>
<td valign="middle" align="left">25.00%</td>
<td valign="middle" align="left">5</td>
</tr>
<tr>
<td valign="middle" align="left">Chandrakantan (2005)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">USA</td>
<td valign="middle" align="left">1984.01-2003.08</td>
<td valign="middle" align="left">156</td>
<td valign="middle" align="left">12.82%</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="left">6</td>
</tr>
<tr>
<td valign="middle" align="left">Choy (2003)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">1984.01-2001.12</td>
<td valign="middle" align="left">75</td>
<td valign="middle" align="left">18.67%</td>
<td valign="middle" align="left">37.33%</td>
<td valign="middle" align="left">8</td>
</tr>
<tr>
<td valign="middle" align="left">Coppo (2007)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">Italy</td>
<td valign="middle" align="left">1984-2002.11</td>
<td valign="middle" align="left">61</td>
<td valign="middle" align="left">49.18%</td>
<td valign="middle" align="left">32.79%</td>
<td valign="middle" align="left">7</td>
</tr>
<tr>
<td valign="middle" align="left">Courtney (2006)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">UK</td>
<td valign="middle" align="left">1977.08-2004.04</td>
<td valign="middle" align="left">75</td>
<td valign="middle" align="left">17.33%</td>
<td valign="middle" align="left">14.67%</td>
<td valign="middle" align="left">6</td>
</tr>
<tr>
<td valign="middle" align="left">Di Vico (2018)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">Italy</td>
<td valign="middle" align="left">1995.01-2012.12</td>
<td valign="middle" align="left">51</td>
<td valign="middle" align="left">54.90%</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="left">7</td>
</tr>
<tr>
<td valign="middle" align="left">Freese (1999)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">Sweden</td>
<td valign="middle" align="left">1985-1996.12</td>
<td valign="middle" align="left">104</td>
<td valign="middle" align="left">12.50%</td>
<td valign="middle" align="left">20.19%</td>
<td valign="middle" align="left">7</td>
</tr>
<tr>
<td valign="middle" align="left">Garnier (2018)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">France</td>
<td valign="middle" align="left">2003.01-2013.12</td>
<td valign="middle" align="left">67</td>
<td valign="middle" align="left">20.90%</td>
<td valign="middle" align="left">17.91%</td>
<td valign="middle" align="left">6</td>
</tr>
<tr>
<td valign="middle" align="left">Han (2009)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">Korea</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="left">221</td>
<td valign="middle" align="left">19.91%</td>
<td valign="middle" align="left">42.08%</td>
<td valign="middle" align="left">7</td>
</tr>
<tr>
<td valign="middle" align="left">J&#xe4;ger (2022)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">Switzerland</td>
<td valign="middle" align="left">2008.05-2016.12</td>
<td valign="middle" align="left">161</td>
<td valign="middle" align="left">26.71%</td>
<td valign="middle" align="left">17.39%</td>
<td valign="middle" align="left">8</td>
</tr>
<tr>
<td valign="middle" align="left">Jeong (2008)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">Korea</td>
<td valign="middle" align="left">1992-2003</td>
<td valign="middle" align="left">77</td>
<td valign="middle" align="left">57.14%</td>
<td valign="middle" align="left">27.27%</td>
<td valign="middle" align="left">7</td>
</tr>
<tr>
<td valign="middle" align="left">Ji (2016)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">1996.01-2009.04</td>
<td valign="middle" align="left">148</td>
<td valign="middle" align="left">31.08%</td>
<td valign="middle" align="left">74.32%</td>
<td valign="middle" align="left">5</td>
</tr>
<tr>
<td valign="middle" align="left">Jiang (2018)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">Australia,<break/>New Zealand</td>
<td valign="middle" align="left">1985-2013</td>
<td valign="middle" align="left">2393</td>
<td valign="middle" align="left">9.65%</td>
<td valign="middle" align="left">24.15%</td>
<td valign="middle" align="left">6</td>
</tr>
<tr>
<td valign="middle" align="left">Jo (2019)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">Korea</td>
<td valign="middle" align="left">2011.1-2015.10</td>
<td valign="middle" align="left">69</td>
<td valign="middle" align="left">15.94%</td>
<td valign="middle" align="left">42.03%</td>
<td valign="middle" align="left">6</td>
</tr>
<tr>
<td valign="middle" align="left">Kamal Aziz (2012)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">France</td>
<td valign="middle" align="left">1982-2012</td>
<td valign="middle" align="left">142</td>
<td valign="middle" align="left">17.61%</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="left">5</td>
</tr>
<tr>
<td valign="middle" align="left">Kavanagh (2022)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">USA</td>
<td valign="middle" align="left">2005-2019</td>
<td valign="middle" align="left">282</td>
<td valign="middle" align="left">28.37%</td>
<td valign="middle" align="left">30.85%</td>
<td valign="middle" align="left">7</td>
</tr>
<tr>
<td valign="middle" align="left">Kawabe (2016)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">Japan</td>
<td valign="middle" align="left">1987-2015</td>
<td valign="middle" align="left">21</td>
<td valign="middle" align="left">28.57%</td>
<td valign="middle" align="left">61.90%</td>
<td valign="middle" align="left">6</td>
</tr>
<tr>
<td valign="middle" align="left">Kennard (2017)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">Australia,<break/>New Zealand</td>
<td valign="middle" align="left">1985-2013</td>
<td valign="middle" align="left">2393</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="left">6</td>
</tr>
<tr>
<td valign="middle" align="left">Kessler (1996)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">France</td>
<td valign="middle" align="left">1985.01-1991.06</td>
<td valign="middle" align="left">28</td>
<td valign="middle" align="left">46.43%</td>
<td valign="middle" align="left">14.29%</td>
<td valign="middle" align="left">6</td>
</tr>
<tr>
<td valign="middle" align="left">Kim (2001)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">Korea</td>
<td valign="middle" align="left">1984.02-1998.10</td>
<td valign="middle" align="left">43</td>
<td valign="middle" align="left">44.19%</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="left">7</td>
</tr>
<tr>
<td valign="middle" align="left">Kim (2017)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">Korea</td>
<td valign="middle" align="left">1990.02-2016.02</td>
<td valign="middle" align="left">95</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="left">6</td>
</tr>
<tr>
<td valign="middle" align="left">Lee (2019)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">Korea</td>
<td valign="middle" align="left">1995.02-2015.03</td>
<td valign="middle" align="left">218</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="left">5</td>
</tr>
<tr>
<td valign="middle" align="left">Lionaki (2021)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">Greece</td>
<td valign="middle" align="left">2000-2018</td>
<td valign="middle" align="left">96</td>
<td valign="middle" align="left">23.96%</td>
<td valign="middle" align="left">29.17%</td>
<td valign="middle" align="left">7</td>
</tr>
<tr>
<td valign="middle" align="left">Maixnerova (2021)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">Czech</td>
<td valign="middle" align="left">1991-2017</td>
<td valign="middle" align="left">313</td>
<td valign="middle" align="left">14.06%</td>
<td valign="middle" align="left">19.17%</td>
<td valign="middle" align="left">8</td>
</tr>
<tr>
<td valign="middle" align="left">Mart&#xed;n&#x2010;Penagos (2019)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">Spain</td>
<td valign="middle" align="left">1993.01-2015.12</td>
<td valign="middle" align="left">35</td>
<td valign="middle" align="left">40.00%</td>
<td valign="middle" align="left">20.00%</td>
<td valign="middle" align="left">6</td>
</tr>
<tr>
<td valign="middle" align="left">McDonald (2006)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">Australia,<break/>New Zealand</td>
<td valign="middle" align="left">1987.10-2004.12</td>
<td valign="middle" align="left">1386</td>
<td valign="middle" align="left">7.94%</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="left">7</td>
</tr>
<tr>
<td valign="middle" align="left">Moriyama (2005)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">Japan</td>
<td valign="middle" align="left">1992-1999</td>
<td valign="middle" align="left">49</td>
<td valign="middle" align="left">26.53%</td>
<td valign="middle" align="left">34.69%</td>
<td valign="middle" align="left">6</td>
</tr>
<tr>
<td valign="middle" align="left">Moroni (2013)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">Italy</td>
<td valign="middle" align="left">1981-2010</td>
<td valign="middle" align="left">190</td>
<td valign="middle" align="left">22.11%</td>
<td valign="middle" align="left">21.58%</td>
<td valign="middle" align="left">7</td>
</tr>
<tr>
<td valign="middle" align="left">Nakamura (2021)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">Japan</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="left">15</td>
<td valign="middle" align="left">46.67%</td>
<td valign="middle" align="left">33.33%</td>
<td valign="middle" align="left">5</td>
</tr>
<tr>
<td valign="middle" align="left">Namba (2004)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">Japan</td>
<td valign="middle" align="left">1980-2001</td>
<td valign="middle" align="left">30</td>
<td valign="middle" align="left">80.00%</td>
<td valign="middle" align="left">33.33%</td>
<td valign="middle" align="left">6</td>
</tr>
<tr>
<td valign="middle" align="left">Ng (2007)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">Singapore</td>
<td valign="middle" align="left">1984.11-2004.12</td>
<td valign="middle" align="left">29</td>
<td valign="middle" align="left">27.59%</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="left">6</td>
</tr>
<tr>
<td valign="middle" align="left">Nijim (2016)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">USA</td>
<td valign="middle" align="left">1993.04-2014.11</td>
<td valign="middle" align="left">122</td>
<td valign="middle" align="left">18.85%</td>
<td valign="middle" align="left">31.15%</td>
<td valign="middle" align="left">6</td>
</tr>
<tr>
<td valign="middle" align="left">Noguchi (2020)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">Japan</td>
<td valign="middle" align="left">2002.12-2018.12</td>
<td valign="middle" align="left">135</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="left">54.07%</td>
<td valign="middle" align="left">7</td>
</tr>
<tr>
<td valign="middle" align="left">Odum (1994)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">Australia</td>
<td valign="middle" align="left">1977-1992.09</td>
<td valign="middle" align="left">51</td>
<td valign="middle" align="left">33.33%</td>
<td valign="middle" align="left">6.25%</td>
<td valign="middle" align="left">5</td>
</tr>
<tr>
<td valign="middle" align="left">Okumi (2019)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">Japan</td>
<td valign="middle" align="left">1995.01-2015.03</td>
<td valign="middle" align="left">299</td>
<td valign="middle" align="left">26.76%</td>
<td valign="middle" align="left">44.15%</td>
<td valign="middle" align="left">7</td>
</tr>
<tr>
<td valign="middle" align="left">Ortiz (2012)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">Finland, Spain</td>
<td valign="middle" align="left">2001.01-2010.04</td>
<td valign="middle" align="left">65</td>
<td valign="middle" align="left">32.31%</td>
<td valign="middle" align="left">15.38%</td>
<td valign="middle" align="left">8</td>
</tr>
<tr>
<td valign="middle" align="left">Park (2021)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">Korea</td>
<td valign="middle" align="left">2009-2016</td>
<td valign="middle" align="left">27</td>
<td valign="middle" align="left">48.15%</td>
<td valign="middle" align="left">37.04%</td>
<td valign="middle" align="left">5</td>
</tr>
<tr>
<td valign="middle" align="left">Ponticelli (2001)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">Italy</td>
<td valign="middle" align="left">1973.07-1999.09</td>
<td valign="middle" align="left">106</td>
<td valign="middle" align="left">32.08%</td>
<td valign="middle" align="left">24.53%</td>
<td valign="middle" align="left">7</td>
</tr>
<tr>
<td valign="middle" align="left">Rodas (2020)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">Spain</td>
<td valign="middle" align="left">1992-2016</td>
<td valign="middle" align="left">86</td>
<td valign="middle" align="left">26.74%</td>
<td valign="middle" align="left">26.74%</td>
<td valign="middle" align="left">7</td>
</tr>
<tr>
<td valign="middle" align="left">Sato (2013)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">Japan</td>
<td valign="middle" align="left">1990-2005</td>
<td valign="middle" align="left">184</td>
<td valign="middle" align="left">38.04%</td>
<td valign="middle" align="left">44.02%</td>
<td valign="middle" align="left">6</td>
</tr>
<tr>
<td valign="middle" align="left">Sofue (2013)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">Japan</td>
<td valign="middle" align="left">2003.08-2011.02</td>
<td valign="middle" align="left">35</td>
<td valign="middle" align="left">34.29%</td>
<td valign="middle" align="left">28.57%</td>
<td valign="middle" align="left">6</td>
</tr>
<tr>
<td valign="middle" align="left">Temurhan (2017)</td>
<td valign="middle" align="left">Case-control</td>
<td valign="middle" align="left">Turkey</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="left">41</td>
<td valign="middle" align="left">NA</td>
<td valign="middle" align="left">26.83%</td>
<td valign="middle" align="left">6</td>
</tr>
<tr>
<td valign="middle" align="left">Uffing (2021)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">Europe, North and South America</td>
<td valign="middle" align="left">2005.01-2015.12</td>
<td valign="middle" align="left">504</td>
<td valign="middle" align="left">16.27%</td>
<td valign="middle" align="left">28.17%</td>
<td valign="middle" align="left">9</td>
</tr>
<tr>
<td valign="middle" align="left">Von Visger (2014)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">USA</td>
<td valign="middle" align="left">1989.06-2008.11</td>
<td valign="middle" align="left">124</td>
<td valign="middle" align="left">21.77%</td>
<td valign="middle" align="left">27.42%</td>
<td valign="middle" align="left">6</td>
</tr>
<tr>
<td valign="middle" align="left">Wang (2001)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">1985.01-1998.12</td>
<td valign="middle" align="left">48</td>
<td valign="middle" align="left">29.17%</td>
<td valign="middle" align="left">54.17%</td>
<td valign="middle" align="left">6</td>
</tr>
<tr>
<td valign="middle" align="left">Wang (2021)</td>
<td valign="middle" align="left">Retrospective cohort</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">2008.01-2019.12</td>
<td valign="middle" align="left">149</td>
<td valign="middle" align="left">26.85%</td>
<td valign="middle" align="left">44.30%</td>
<td valign="middle" align="left">6</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>NOS, Newcastle&#x2013;Ottawa scale; NA, not available.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Risk of bias</title>
<p>The risk of bias was assessed using the NOS and the results are presented in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. The overall quality of the included studies was medium, with 34 studies having a medium quality and 24 having a high quality.</p>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Risk factors for IgAN recurrence</title>
<p>The results of meta-analysis examining risk factors for IgAN recurrence are presented in <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Meta-analysis of risk factors and outcomes for IgAN recurrence.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">Risk factors or outcomes</th>
<th valign="middle" rowspan="2" align="left">No. of studies</th>
<th valign="middle" rowspan="2" align="left">n</th>
<th valign="middle" colspan="2" align="left">Heterogeneity</th>
<th valign="middle" rowspan="2" align="left">Effects model</th>
<th valign="middle" rowspan="2" align="left">ES</th>
<th valign="middle" rowspan="2" align="left">ES [95% CI]</th>
<th valign="middle" rowspan="2" align="left">Z</th>
<th valign="middle" rowspan="2" align="left">P</th>
<th valign="middle" rowspan="2" align="left">Egger&#x2019;s test, P</th>
</tr>
<tr>
<th valign="middle" align="left">
I&#xb2;
</th>
<th valign="middle" align="left">
P
</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="11" align="left">Recipient</th>
</tr>
<tr>
<td valign="middle" align="left">Age at KT (year)</td>
<td valign="middle" align="left">28</td>
<td valign="middle" align="left">3248</td>
<td valign="middle" align="left">71.60%</td>
<td valign="middle" align="left">&lt; 0.0001</td>
<td valign="middle" align="left">R</td>
<td valign="middle" align="left">MD</td>
<td valign="middle" align="left">-4.27 [-5.76, -2.78]</td>
<td valign="middle" align="left">-5.63</td>
<td valign="middle" align="left">&lt; 0.0001</td>
<td valign="middle" align="left">0.7522</td>
</tr>
<tr>
<td valign="middle" align="left">Age at KT (per year)</td>
<td valign="middle" align="left">9</td>
<td valign="middle" align="left">3519</td>
<td valign="middle" align="left">29.30%</td>
<td valign="middle" align="left">0.1848</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">0.96 [0.95, 0.97]</td>
<td valign="middle" align="left">-8.31</td>
<td valign="middle" align="left">&lt; 0.0001</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">Recipient sex (male)</td>
<td valign="middle" align="left">27</td>
<td valign="middle" align="left">3795</td>
<td valign="middle" align="left">6.40%</td>
<td valign="middle" align="left">0.3693</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">1.17 [1.01, 1.35]</td>
<td valign="middle" align="left">2.07</td>
<td valign="middle" align="left">0.0380</td>
<td valign="middle" align="left">0.1139</td>
</tr>
<tr>
<td valign="middle" align="left">Recipient body mass index (kg/cm&#xb2;)</td>
<td valign="middle" align="left">4</td>
<td valign="middle" align="left">677</td>
<td valign="middle" align="left">81.80%</td>
<td valign="middle" align="left">0.0009</td>
<td valign="middle" align="left">R</td>
<td valign="middle" align="left">MD</td>
<td valign="middle" align="left">-1.53 [-3.75, 0.69]</td>
<td valign="middle" align="left">-1.35</td>
<td valign="middle" align="left">0.1762</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">Recipient body mass index (per 1 kg/cm&#xb2;)</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">722</td>
<td valign="middle" align="left">0.00%</td>
<td valign="middle" align="left">1.0000</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">0.96 [0.92, 1.02]</td>
<td valign="middle" align="left">-1.68</td>
<td valign="middle" align="left">0.0936</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<th valign="middle" colspan="11" align="left">Donor</th>
</tr>
<tr>
<td valign="middle" align="left">Donor sex (male)</td>
<td valign="middle" align="left">7</td>
<td valign="middle" align="left">983</td>
<td valign="middle" align="left">0.00%</td>
<td valign="middle" align="left">0.5525</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">0.90 [0.73, 1.11]</td>
<td valign="middle" align="left">-1.00</td>
<td valign="middle" align="left">0.3171</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">Donor age at KT (year)</td>
<td valign="middle" align="left">15</td>
<td valign="middle" align="left">1956</td>
<td valign="middle" align="left">34.70%</td>
<td valign="middle" align="left">0.0910</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">MD</td>
<td valign="middle" align="left">-2.19 [-3.46, -0.93]</td>
<td valign="middle" align="left">-3.40</td>
<td valign="middle" align="left">0.0007</td>
<td valign="middle" align="left">0.4067</td>
</tr>
<tr>
<td valign="middle" align="left">Donor age at KT (per year)</td>
<td valign="middle" align="left">3</td>
<td valign="middle" align="left">389</td>
<td valign="middle" align="left">0.00%</td>
<td valign="middle" align="left">0.4354</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">0.99 [0.97, 1.01]</td>
<td valign="middle" align="left">-0.79</td>
<td valign="middle" align="left">0.4314</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">Living donor</td>
<td valign="middle" align="left">26</td>
<td valign="middle" align="left">4472</td>
<td valign="middle" align="left">48.80%</td>
<td valign="middle" align="left">0.0029</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">1.02 [0.90, 1.14]</td>
<td valign="middle" align="left">0.28</td>
<td valign="middle" align="left">0.7781</td>
<td valign="middle" align="left">0.0003</td>
</tr>
<tr>
<td valign="middle" align="left">Related donor</td>
<td valign="middle" align="left">21</td>
<td valign="middle" align="left">2559</td>
<td valign="middle" align="left">62.90%</td>
<td valign="middle" align="left">&lt; 0.0001</td>
<td valign="middle" align="left">R</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">1.53 [1.24, 1.88]</td>
<td valign="middle" align="left">4.02</td>
<td valign="middle" align="left">&lt; 0.0001</td>
<td valign="middle" align="left">0.0001</td>
</tr>
<tr>
<td valign="middle" align="left">Living related donor (vs. living unrelated donor)</td>
<td valign="middle" align="left">10</td>
<td valign="middle" align="left">1221</td>
<td valign="middle" align="left">21.40%</td>
<td valign="middle" align="left">0.2461</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">1.69 [1.31, 2.18]</td>
<td valign="middle" align="left">3.99</td>
<td valign="middle" align="left">&lt; 0.0001</td>
<td valign="middle" align="left">0.1001</td>
</tr>
<tr>
<th valign="middle" colspan="11" align="left">Primary disease</th>
</tr>
<tr>
<td valign="middle" align="left">Age at IgAN diagnosis (year)</td>
<td valign="middle" align="left">6</td>
<td valign="middle" align="left">909</td>
<td valign="middle" align="left">71.70%</td>
<td valign="middle" align="left">0.0034</td>
<td valign="middle" align="left">R</td>
<td valign="middle" align="left">MD</td>
<td valign="middle" align="left">-2.52 [-6.73, 1.69]</td>
<td valign="middle" align="left">-1.17</td>
<td valign="middle" align="left">0.2412</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">Age at IgAN diagnosis (per year)</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">417</td>
<td valign="middle" align="left">86.00%</td>
<td valign="middle" align="left">0.0075</td>
<td valign="middle" align="left">R</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">0.99 [0.93, 1.05]</td>
<td valign="middle" align="left">-0.43</td>
<td valign="middle" align="left">0.6699</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">Time from IgAN diagnosis to ESRD (year)</td>
<td valign="middle" align="left">13</td>
<td valign="middle" align="left">1448</td>
<td valign="middle" align="left">0.00%</td>
<td valign="middle" align="left">0.6548</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">MD</td>
<td valign="middle" align="left">-1.84 [-2.43, -1.25]</td>
<td valign="middle" align="left">-6.14</td>
<td valign="middle" align="left">&lt; 0.0001</td>
<td valign="middle" align="left">0.8399</td>
</tr>
<tr>
<td valign="middle" align="left">Time from IgAN diagnosis to ESRD (per year)</td>
<td valign="middle" align="left">3</td>
<td valign="middle" align="left">293</td>
<td valign="middle" align="left">0.00%</td>
<td valign="middle" align="left">0.4097</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">0.94 [0.91, 0.97]</td>
<td valign="middle" align="left">-3.41</td>
<td valign="middle" align="left">0.0007</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<th valign="middle" colspan="11" align="left">History of KT</th>
</tr>
<tr>
<td valign="middle" align="left">History of KT</td>
<td valign="middle" align="left">12</td>
<td valign="middle" align="left">4421</td>
<td valign="middle" align="left">47.40%</td>
<td valign="middle" align="left">0.0342</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">1.43 [1.24, 1.65]</td>
<td valign="middle" align="left">4.98</td>
<td valign="middle" align="left">&lt; 0.0001</td>
<td valign="middle" align="left">0.5062</td>
</tr>
<tr>
<th valign="middle" colspan="11" align="left">Dialysis history</th>
</tr>
<tr>
<td valign="middle" align="left">Time on dialysis (month)</td>
<td valign="middle" align="left">19</td>
<td valign="middle" align="left">2164</td>
<td valign="middle" align="left">44.60%</td>
<td valign="middle" align="left">0.0193</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">MD</td>
<td valign="middle" align="left">-3.14 [-4.18, -2.09]</td>
<td valign="middle" align="left">-5.88</td>
<td valign="middle" align="left">&lt; 0.0001</td>
<td valign="middle" align="left">0.5114</td>
</tr>
<tr>
<td valign="middle" align="left">Hemodialysis</td>
<td valign="middle" align="left">3</td>
<td valign="middle" align="left">689</td>
<td valign="middle" align="left">1.70%</td>
<td valign="middle" align="left">0.3615</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">1.68 [1.04, 2.71]</td>
<td valign="middle" align="left">2.13</td>
<td valign="middle" align="left">0.0331</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">Pre-emptive transplant</td>
<td valign="middle" align="left">10</td>
<td valign="middle" align="left">1569</td>
<td valign="middle" align="left">52.70%</td>
<td valign="middle" align="left">0.0249</td>
<td valign="middle" align="left">R</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">1.12 [0.77, 1.62]</td>
<td valign="middle" align="left">0.60</td>
<td valign="middle" align="left">0.5501</td>
<td valign="middle" align="left">0.5854</td>
</tr>
<tr>
<th valign="middle" colspan="10" align="left">Comorbidities</th>
<th valign="middle" align="left">&#x2013;</th>
</tr>
<tr>
<td valign="middle" align="left">Hypertension</td>
<td valign="middle" align="left">7</td>
<td valign="middle" align="left">600</td>
<td valign="middle" align="left">44.80%</td>
<td valign="middle" align="left">0.0923</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">1.09 [0.76, 1.57]</td>
<td valign="middle" align="left">0.49</td>
<td valign="middle" align="left">0.6245</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">Diabetes</td>
<td valign="middle" align="left">3</td>
<td valign="middle" align="left">276</td>
<td valign="middle" align="left">0.00%</td>
<td valign="middle" align="left">0.6065</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">1.22 [0.73, 2.03]</td>
<td valign="middle" align="left">0.75</td>
<td valign="middle" align="left">0.4547</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<th valign="middle" colspan="11" align="left">Histocompatibility</th>
</tr>
<tr>
<td valign="middle" align="left">Panel reactive antibodies</td>
<td valign="middle" align="left">4</td>
<td valign="middle" align="left">689</td>
<td valign="middle" align="left">65.90%</td>
<td valign="middle" align="left">0.0320</td>
<td valign="middle" align="left">R</td>
<td valign="middle" align="left">MD</td>
<td valign="middle" align="left">0.95 [-3.55, 5.45]</td>
<td valign="middle" align="left">0.41</td>
<td valign="middle" align="left">0.6795</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">Panel reactive antibodies &gt;50%</td>
<td valign="middle" align="left">3</td>
<td valign="middle" align="left">543</td>
<td valign="middle" align="left">0.00%</td>
<td valign="middle" align="left">0.5899</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">0.66 [0.34, 1.29]</td>
<td valign="middle" align="left">-1.21</td>
<td valign="middle" align="left">0.2259</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">Pretransplant donor specific antibody</td>
<td valign="middle" align="left">5</td>
<td valign="middle" align="left">1267</td>
<td valign="middle" align="left">67.70%</td>
<td valign="middle" align="left">0.0148</td>
<td valign="middle" align="left">R</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">1.01 [0.53, 1.94]</td>
<td valign="middle" align="left">0.04</td>
<td valign="middle" align="left">0.9650</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">ABO-incompatibility</td>
<td valign="middle" align="left">4</td>
<td valign="middle" align="left">505</td>
<td valign="middle" align="left">0.00%</td>
<td valign="middle" align="left">0.8607</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">0.89 [0.60, 1.31]</td>
<td valign="middle" align="left">-0.60</td>
<td valign="middle" align="left">0.5487</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">HLA-A/B/DR mismatches</td>
<td valign="middle" align="left">19</td>
<td valign="middle" align="left">2414</td>
<td valign="middle" align="left">38.40%</td>
<td valign="middle" align="left">0.0455</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">MD</td>
<td valign="middle" align="left">-0.11 [-0.22, -0.00]</td>
<td valign="middle" align="left">-2.00</td>
<td valign="middle" align="left">0.0455</td>
<td valign="middle" align="left">0.6727</td>
</tr>
<tr>
<td valign="middle" align="left">HLA-A/B mismatches</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">251</td>
<td valign="middle" align="left">0.00%</td>
<td valign="middle" align="left">0.7481</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">MD</td>
<td valign="middle" align="left">0.09 [-0.05, 0.22]</td>
<td valign="middle" align="left">1.20</td>
<td valign="middle" align="left">0.2294</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">HLA-DR mismatches</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">251</td>
<td valign="middle" align="left">0.00%</td>
<td valign="middle" align="left">0.7494</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">MD</td>
<td valign="middle" align="left">-0.13 [-0.22, -0.05]</td>
<td valign="middle" align="left">-3.00</td>
<td valign="middle" align="left">0.0027</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">HLA-A/B/DR full match</td>
<td valign="middle" align="left">4</td>
<td valign="middle" align="left">905</td>
<td valign="middle" align="left">31.3%</td>
<td valign="middle" align="left">0.2244</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">1.88 [1.14, 3.11]</td>
<td valign="middle" align="left">2.47</td>
<td valign="middle" align="left">0.0135</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">HLA-A full match</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">98</td>
<td valign="middle" align="left">0.00%</td>
<td valign="middle" align="left">0.8560</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">1.48 [0.70, 3.09]</td>
<td valign="middle" align="left">1.03</td>
<td valign="middle" align="left">0.3021</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">HLA-B full match</td>
<td valign="middle" align="left">4</td>
<td valign="middle" align="left">180</td>
<td valign="middle" align="left">36.70%</td>
<td valign="middle" align="left">0.1921</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">1.12 [0.72, 1.76]</td>
<td valign="middle" align="left">0.51</td>
<td valign="middle" align="left">0.6084</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">HLA-DR full match</td>
<td valign="middle" align="left">4</td>
<td valign="middle" align="left">229</td>
<td valign="middle" align="left">85.80%</td>
<td valign="middle" align="left">&lt; 0.0001</td>
<td valign="middle" align="left">R</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">0.71 [0.15, 3.38]</td>
<td valign="middle" align="left">-0.43</td>
<td valign="middle" align="left">0.6693</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">HLA identied related donor (vs. other)</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">152</td>
<td valign="middle" align="left">78.70%</td>
<td valign="middle" align="left">0.0301</td>
<td valign="middle" align="left">R</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">2.91 [0.7, 12.01]</td>
<td valign="middle" align="left">1.47</td>
<td valign="middle" align="left">0.1406</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">HLA identied related donor (vs. not identied related donor)</td>
<td valign="middle" align="left">3</td>
<td valign="middle" align="left">92</td>
<td valign="middle" align="left">18.50%</td>
<td valign="middle" align="left">0.2932</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">1.14 [0.70, 1.88]</td>
<td valign="middle" align="left">0.53</td>
<td valign="middle" align="left">0.5964</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">HLA-A2</td>
<td valign="middle" align="left">7</td>
<td valign="middle" align="left">661</td>
<td valign="middle" align="left">36.90%</td>
<td valign="middle" align="left">0.1471</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">1.03 [0.78, 1.37]</td>
<td valign="middle" align="left">0.21</td>
<td valign="middle" align="left">0.8300</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">HLA-B35</td>
<td valign="middle" align="left">8</td>
<td valign="middle" align="left">1051</td>
<td valign="middle" align="left">0.00%</td>
<td valign="middle" align="left">0.7456</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">1.25 [0.95, 1.64]</td>
<td valign="middle" align="left">1.59</td>
<td valign="middle" align="left">0.1116</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">HLA-B46</td>
<td valign="middle" align="left">3</td>
<td valign="middle" align="left">290</td>
<td valign="middle" align="left">0.00%</td>
<td valign="middle" align="left">0.5821</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">0.39 [0.16, 0.95]</td>
<td valign="middle" align="left">-2.06</td>
<td valign="middle" align="left">0.0392</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">HLA-DR3</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">466</td>
<td valign="middle" align="left">0.00%</td>
<td valign="middle" align="left">0.9142</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">1.14 [0.84, 1.55]</td>
<td valign="middle" align="left">0.86</td>
<td valign="middle" align="left">0.3883</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">HLA-DR4</td>
<td valign="middle" align="left">4</td>
<td valign="middle" align="left">397</td>
<td valign="middle" align="left">82.80%</td>
<td valign="middle" align="left">0.0006</td>
<td valign="middle" align="left">R</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">2.91 [0.94, 8.97]</td>
<td valign="middle" align="left">1.86</td>
<td valign="middle" align="left">0.0630</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<th valign="middle" colspan="11" align="left">Induction therapy</th>
</tr>
<tr>
<td valign="middle" align="left">None</td>
<td valign="middle" align="left">9</td>
<td valign="middle" align="left">1453</td>
<td valign="middle" align="left">70.50%</td>
<td valign="middle" align="left">0.0007</td>
<td valign="middle" align="left">R</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">1.73 [1.16, 2.58]</td>
<td valign="middle" align="left">2.69</td>
<td valign="middle" align="left">0.0071</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">Anti-IL-2-R antibodies</td>
<td valign="middle" align="left">14</td>
<td valign="middle" align="left">2102</td>
<td valign="middle" align="left">79.80%</td>
<td valign="middle" align="left">&lt; 0.0001</td>
<td valign="middle" align="left">R</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">0.68 [0.47, 0.99]</td>
<td valign="middle" align="left">-2.02</td>
<td valign="middle" align="left">0.0429</td>
<td valign="middle" align="left">0.8046</td>
</tr>
<tr>
<td valign="middle" align="left">Antithymocyte globulin</td>
<td valign="middle" align="left">13</td>
<td valign="middle" align="left">1844</td>
<td valign="middle" align="left">74.10%</td>
<td valign="middle" align="left">&lt; 0.0001</td>
<td valign="middle" align="left">R</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">0.97 [0.64, 1.47]&#x2003;</td>
<td valign="middle" align="left">-0.15</td>
<td valign="middle" align="left">0.8784</td>
<td valign="middle" align="left">0.0189</td>
</tr>
<tr>
<td valign="middle" align="left">Anti-CD20 antibodies</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">312</td>
<td valign="middle" align="left">74.20%</td>
<td valign="middle" align="left">0.0488</td>
<td valign="middle" align="left">R</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">0.63 [0.22, 1.82]</td>
<td valign="middle" align="left">-0.85</td>
<td valign="middle" align="left">0.3951</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<th valign="middle" colspan="11" align="left">Maintenance therapy</th>
</tr>
<tr>
<td valign="middle" align="left">Tacrolimus</td>
<td valign="middle" align="left">16</td>
<td valign="middle" align="left">2146</td>
<td valign="middle" align="left">52.20%</td>
<td valign="middle" align="left">0.0077</td>
<td valign="middle" align="left">R</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">0.90 [0.68, 1.19]</td>
<td valign="middle" align="left">-0.72</td>
<td valign="middle" align="left">0.4741</td>
<td valign="middle" align="left">0.5163</td>
</tr>
<tr>
<td valign="middle" align="left">Cyclosporine</td>
<td valign="middle" align="left">15</td>
<td valign="middle" align="left">1701</td>
<td valign="middle" align="left">41.90%</td>
<td valign="middle" align="left">0.0445</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">1.07 [0.90, 1.28]</td>
<td valign="middle" align="left">0.77</td>
<td valign="middle" align="left">0.4414</td>
<td valign="middle" align="left">0.2776</td>
</tr>
<tr>
<td valign="middle" align="left">MMF</td>
<td valign="middle" align="left">12</td>
<td valign="middle" align="left">1846</td>
<td valign="middle" align="left">24.90%</td>
<td valign="middle" align="left">0.1996</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">0.69 [0.56, 0.86]</td>
<td valign="middle" align="left">-3.28</td>
<td valign="middle" align="left">0.0010</td>
<td valign="middle" align="left">0.9129</td>
</tr>
<tr>
<td valign="middle" align="left">Azathioprine</td>
<td valign="middle" align="left">6</td>
<td valign="middle" align="left">684</td>
<td valign="middle" align="left">2.00%</td>
<td valign="middle" align="left">0.4036</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">1.18 [0.85, 1.64]</td>
<td valign="middle" align="left">0.99</td>
<td valign="middle" align="left">0.3239</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">mTOR inhibitor</td>
<td valign="middle" align="left">7</td>
<td valign="middle" align="left">602</td>
<td valign="middle" align="left">0.00%</td>
<td valign="middle" align="left">0.5686</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">1.51 [1.10, 2.06]</td>
<td valign="middle" align="left">2.57</td>
<td valign="middle" align="left">0.0102</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">Steroids</td>
<td valign="middle" align="left">10</td>
<td valign="middle" align="left">3504</td>
<td valign="middle" align="left">74.1%</td>
<td valign="middle" align="left">&lt; 0.0001</td>
<td valign="middle" align="left">R</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">0.88 [0.56, 1.38]&#x2003;</td>
<td valign="middle" align="left">-0.55</td>
<td valign="middle" align="left">0.5831</td>
<td valign="middle" align="left">0.3347</td>
</tr>
<tr>
<th valign="middle" colspan="11" align="left">Graft rejection</th>
</tr>
<tr>
<td valign="middle" align="left">Rejection</td>
<td valign="middle" align="left">8</td>
<td valign="middle" align="left">1305</td>
<td valign="middle" align="left">36.00%</td>
<td valign="middle" align="left">0.1414</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">1.10 [0.83, 1.46]</td>
<td valign="middle" align="left">0.69</td>
<td valign="middle" align="left">0.4932</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">T cell-mediated rejection</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">361</td>
<td valign="middle" align="left">34.80%</td>
<td valign="middle" align="left">0.2155</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">1.42 [0.96, 2.09]</td>
<td valign="middle" align="left">1.75</td>
<td valign="middle" align="left">0.0800</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">Antibody-mediated rejection</td>
<td valign="middle" align="left">3</td>
<td valign="middle" align="left">374</td>
<td valign="middle" align="left">0.00%</td>
<td valign="middle" align="left">0.9932</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">0.85 [0.52, 1.38]</td>
<td valign="middle" align="left">-0.67</td>
<td valign="middle" align="left">0.5042</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">Acute rejection</td>
<td valign="middle" align="left">13</td>
<td valign="middle" align="left">2063</td>
<td valign="middle" align="left">0.00%</td>
<td valign="middle" align="left">0.6052</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">1.13 [0.96, 1.34]&#x2003;</td>
<td valign="middle" align="left">1.43</td>
<td valign="middle" align="left">0.1532</td>
<td valign="middle" align="left">0.9843</td>
</tr>
<tr>
<td valign="middle" align="left">Acute T cell-mediated rejection</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">754</td>
<td valign="middle" align="left">0.00%</td>
<td valign="middle" align="left">0.6059</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">1.39 [0.99, 1.94]</td>
<td valign="middle" align="left">1.92</td>
<td valign="middle" align="left">0.0547</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">Acute antibody-mediated rejection</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">754</td>
<td valign="middle" align="left">81.70%</td>
<td valign="middle" align="left">0.0195</td>
<td valign="middle" align="left">R</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">1.25 [0.35, 4.47]</td>
<td valign="middle" align="left">0.35</td>
<td valign="middle" align="left">0.7279</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">Chronic rejection</td>
<td valign="middle" align="left">3</td>
<td valign="middle" align="left">468</td>
<td valign="middle" align="left">28.60%</td>
<td valign="middle" align="left">0.2465</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">1.33 [0.91, 1.93]</td>
<td valign="middle" align="left">1.47</td>
<td valign="middle" align="left">0.1403</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<th valign="middle" colspan="11" align="left">Other therapy</th>
</tr>
<tr>
<td valign="middle" align="left">ACEI/ARB</td>
<td valign="middle" align="left">8</td>
<td valign="middle" align="left">640</td>
<td valign="middle" align="left">0.00%</td>
<td valign="middle" align="left">0.6797</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">1.80 [1.42, 2.28]</td>
<td valign="middle" align="left">4.87</td>
<td valign="middle" align="left">&lt; 0.0001</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">Plasma exchange</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">312</td>
<td valign="middle" align="left">0.00%</td>
<td valign="middle" align="left">0.4185</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">0.80 [0.54, 1.18]</td>
<td valign="middle" align="left">-1.12</td>
<td valign="middle" align="left">0.2639</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">Tonsillectomy</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">350</td>
<td valign="middle" align="left">0.00%</td>
<td valign="middle" align="left">0.6420</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">0.43 [0.23, 0.79]</td>
<td valign="middle" align="left">-2.69</td>
<td valign="middle" align="left">0.0072</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">Steroids use before KT</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">173</td>
<td valign="middle" align="left">0.00%</td>
<td valign="middle" align="left">0.3936</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">0.97 [0.58, 1.62]</td>
<td valign="middle" align="left">-0.13</td>
<td valign="middle" align="left">0.8995</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">Immunosuppression use before KT</td>
<td valign="middle" align="left">3</td>
<td valign="middle" align="left">279</td>
<td valign="middle" align="left">62.00%</td>
<td valign="middle" align="left">0.0718</td>
<td valign="middle" align="left">R</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">1.27 [0.60, 2.71]</td>
<td valign="middle" align="left">0.62</td>
<td valign="middle" align="left">0.5363</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<th valign="middle" colspan="11" align="left">Other</th>
</tr>
<tr>
<td valign="middle" align="left">Cold ischemia time (hour)</td>
<td valign="middle" align="left">7</td>
<td valign="middle" align="left">1356</td>
<td valign="middle" align="left">12.90%</td>
<td valign="middle" align="left">0.3312</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">MD</td>
<td valign="middle" align="left">0.10 [-0.76, 0.96]</td>
<td valign="middle" align="left">0.23</td>
<td valign="middle" align="left">0.8188</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">Delayed graft function</td>
<td valign="middle" align="left">5</td>
<td valign="middle" align="left">443</td>
<td valign="middle" align="left">18.60%</td>
<td valign="middle" align="left">0.2960</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">0.70 [0.43, 1.12]</td>
<td valign="middle" align="left">-1.48</td>
<td valign="middle" align="left">0.1377</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">Cytomegalovirus infection</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">476</td>
<td valign="middle" align="left">0.00%</td>
<td valign="middle" align="left">0.8245</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">0.79 [0.45, 1.38]</td>
<td valign="middle" align="left">-0.84</td>
<td valign="middle" align="left">0.4023</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">BK virus infection</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">517</td>
<td valign="middle" align="left">0.00%</td>
<td valign="middle" align="left">0.5896</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">1.32 [0.67, 2.57]</td>
<td valign="middle" align="left">0.81</td>
<td valign="middle" align="left">0.4205</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<th valign="middle" colspan="11" align="left">Outcomes</th>
</tr>
<tr>
<td valign="middle" align="left">Graft loss</td>
<td valign="middle" align="left">30</td>
<td valign="middle" align="left">5986</td>
<td valign="middle" align="left">82.80%</td>
<td valign="middle" align="left">&lt; 0.0001</td>
<td valign="middle" align="left">R</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">2.19 [1.60, 3.01]</td>
<td valign="middle" align="left">4.88</td>
<td valign="middle" align="left">&lt; 0.0001</td>
<td valign="middle" align="left">0.0040</td>
</tr>
<tr>
<td valign="middle" align="left">Death</td>
<td valign="middle" align="left">4</td>
<td valign="middle" align="left">703</td>
<td valign="middle" align="left">0.00%</td>
<td valign="middle" align="left">0.5712</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">0.77 [0.42, 1.41]</td>
<td valign="middle" align="left">-0.85</td>
<td valign="middle" align="left">0.3952</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">Infection</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">339</td>
<td valign="middle" align="left">0.00%</td>
<td valign="middle" align="left">0.8135</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">1.02 [0.66, 1.59]</td>
<td valign="middle" align="left">0.10</td>
<td valign="middle" align="left">0.9231</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>IgAN, immunoglobulin A nephropathy; ES, effect size; CI, confidence interval; KT, kidney transplantation; R, random effects model; F, fixed effect model; MD, mean difference; RR, risk ratio; ESRD, end stage renal disease; HLA, human leukocyte antigen; MMF, mycophenolate mofetil; ACEI, angiotensin-converting enzyme inhibitors; ARB, angiotensin receptor blockers.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<sec id="s3_4_1">
<label>3.4.1</label>
<title>Demographic characteristics of recipients and donors</title>
<p>The study found that recipients with recurrent IgAN were younger at KT than those without recurrence (MD = -4.27 years, 95% CI: -5.76 to -2.78, I&#xb2; = 71.60%). The pooled RR showed that the risk of recurrence decreased by 4% for each increase in age of 1 year at KT (RR = 0.96, 95%CI: 0.95-0.97, I&#xb2; = 29.30%). The donor age was also found to be younger in the recurrent group (MD = -2.19 years, 95% CI: -3.46 to -0.93, I&#xb2; = 34.70%), but the pooled RR of 389 participants from 3 studies was not significant (RR = 0.99, 95%CI: 0.97 to 1.01, I&#xb2; = 0.00%). Male recipients had a 17% increased risk of recurrence compared to female recipients (RR = 1.17, 95%CI: 1.01 to 1.35, I&#xb2; = 6.40%). There were no significant differences between the recurrence and non-recurrence groups with respect to recipient body mass index or donor sex.</p>
</sec>
<sec id="s3_4_2">
<label>3.4.2</label>
<title>Donor type</title>
<p>There was no difference in the risk of recurrence among recipients with living donors compared to those with deceased donors (RR = 1.02, 95% CI: 0.90 to 1.14, I&#xb2; = 48.80%). Recipients with related donors had a higher risk of recurrence compared to those with unrelated donors (RR = 1.53, 95% CI: 1.24 to 1.88, I&#xb2; = 62.90%). Further analysis found that recipients with living related donors had a higher risk of recurrence compared with those with living unrelated donors (RR = 1.69, 95% CI: 1.31 to 2.18, I&#xb2; = 21.40%).</p>
</sec>
<sec id="s3_4_3">
<label>3.4.3</label>
<title>Primary disease</title>
<p>The age at diagnosis of IgAN did not differ between the recurrence and non-recurrence groups. However, the time from IgAN diagnosis to ESRD was shorter in the recurrence group compared to the non-recurrence group, with an MD of -1.84 years (95% CI: -2.43 to -1.25, I&#xb2; = 0.00%). The RR value for the time from diagnosis to ESRD showed each additional year was associated with a 6% reduction in recurrence (RR = 0.94, 95% CI: 0.91 to 0.97, I&#xb2; = 0.00%). This suggests that patients with a faster progression of primary disease were more susceptible to recur.</p>
</sec>
<sec id="s3_4_4">
<label>3.4.4</label>
<title>Dialysis history</title>
<p>Recurrent group had short dialysis duration (MD = -3.14 months, 95% CI: -4.18 to -2.09, I&#xb2; = 44.60%) and hemodialysis (RR = 1.68, 95% CI: 1.04 to 2.71, I&#xb2; = 1.70%) were identified as risk factors for recurrence, while pre-emptive transplantation was not found to be a significant risk factor.</p>
</sec>
<sec id="s3_4_5">
<label>3.4.5</label>
<title>Histocompatibility features</title>
<p>In patients with recurrent IgAN, lower total HLA mismatches (MD = -0.11, 95% CI: -0.22 to -0.00, I&#xb2; = 38.40%) and lower HLA-DR mismatches (MD = -0.13, 95% CI: -0.22 to -0.05, I&#xb2; = 0.00%) were observed, but no significant difference was found in HLA-A and B. The pooled RR showed an increased risk of recurrence in recipients with HLA full match (RR = 1.88, 95% CI: 1.14 to 3.11, I&#xb2; = 31.3%). However, compared with more than 1 mismatch, HLA-A, B, or DR full match were all found to have no effect on recurrence. For specific HLA antigens, HLA-B46 reduced the risk of recurrence (RR = 0.39, 95% CI: 0.16 to 0.95, I&#xb2; = 0.00%), while HLA-A2, HLA-B35 HLA-DR3, and HLA-DR4 had no effect. ABO incompatibility, donor-specific antibodies, and panel reactive antibodies did not affect recurrence.</p>
</sec>
<sec id="s3_4_6">
<label>3.4.6</label>
<title>Immunosuppressive therapy</title>
<p>Patients without induction therapy had an increased risk of recurrence (RR = 1.73, 95% CI: 1.16 to 2.58, I&#xb2; = 70.50%). The use of anti-IL-2-R antibodies was found to reduce the risk of recurrence by 32% (RR = 0.68, 95% CI: 0.47 to 0.99, I&#xb2; = 79.80%), while antithymocyte globulin and anti-CD20 antibodies had no effect. For maintenance agents, mycophenolate mofetil (MMF) reduced the risk of recurrence (RR = 0.69, 95% CI: 0.56 to 0.86, I&#xb2; = 24.90%) and use of mTOR inhibitor is associated with a higher risk (RR = 1.51, 95% CI: 1.10 to 2.06, I&#xb2; = 0.00%), while steroids, tacrolimus, cyclosporine, and azathioprine had no significant effect. Pretransplant steroids or immunosuppressant exposure did not affect recurrence.</p>
</sec>
<sec id="s3_4_7">
<label>3.4.7</label>
<title>Other therapy</title>
<p>Recipients with recurrent IgAN were more likely to use angiotensin-converting enzyme inhibitors (ACEIs) or angiotensin-receptor blockers (ARBs) (RR = 1.63, 95%CI: 1.30 to 2.05, I&#xb2; = 0.00%). Patients who had tonsillectomy before KT had a 57% lower risk of recurrence (RR = 0.43, 95% CI: 0.23 to 0.79, I&#xb2; = 0.00%). Plasma exchange had no effect on recurrence.</p>
</sec>
<sec id="s3_4_8">
<label>3.4.8</label>
<title>Other factors</title>
<p>Recipients with KT history had a 43% increased risk of recurrence compared to those with first KT (RR = 1.43, 95% CI: 1.24 to 1.65, I&#xb2; = 47.40%). Factors such as graft rejection, hypertension, diabetes, cold ischemia time, delayed graft function, cytomegalovirus or BK virus infection, did not have an impact on recurrence.</p>
</sec>
<sec id="s3_4_9">
<label>3.4.9</label>
<title>Serum biomarkers</title>
<p>Our findings indicated that serum immunoglobulin G autoantibodies (IgG), IgA, and galactose-deficient IgA1 (Gd-IgA1) levels for recurrence were not predictive of IgAN recurrence (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Meta-analysis of laboratory data for IgAN recurence.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">Laboratory parameters</th>
<th valign="middle" rowspan="2" align="left">No. of studies</th>
<th valign="middle" rowspan="2" align="left">n</th>
<th valign="middle" colspan="2" align="left">Heterogeneity</th>
<th valign="middle" rowspan="2" align="left">Effects model</th>
<th valign="middle" rowspan="2" align="left">ES</th>
<th valign="middle" rowspan="2" align="left">ES [95% CI]</th>
<th valign="middle" rowspan="2" align="left">Z</th>
<th valign="middle" rowspan="2" align="left">P</th>
</tr>
<tr>
<th valign="middle" align="left">
I&#xb2;
</th>
<th valign="middle" align="left">
P
</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="10" align="left">IgG (g/L)</th>
</tr>
<tr>
<td valign="middle" align="left">Baseline</td>
<td valign="middle" align="left">3</td>
<td valign="middle" align="left">268</td>
<td valign="middle" align="left">79.70%</td>
<td valign="middle" align="left">0.0073</td>
<td valign="middle" align="left">R</td>
<td valign="middle" align="left">MD</td>
<td valign="middle" align="left">1.48 [-0.19, 3.16]</td>
<td valign="middle" align="left">1.74</td>
<td valign="middle" align="left">0.0827</td>
</tr>
<tr>
<th valign="middle" colspan="10" align="left">IgA (mg/L)</th>
</tr>
<tr>
<td valign="middle" align="left">Baseline</td>
<td valign="middle" align="left">5</td>
<td valign="middle" align="left">615</td>
<td valign="middle" align="left">83.20%</td>
<td valign="middle" align="left">&lt; 0.0001</td>
<td valign="middle" align="left">R</td>
<td valign="middle" align="left">MD</td>
<td valign="middle" align="left">0.48 [-0.10, 1.05]</td>
<td valign="middle" align="left">1.63</td>
<td valign="middle" align="left">0.1033</td>
</tr>
<tr>
<td valign="middle" align="left">6 month</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">225</td>
<td valign="middle" align="left">88.40%</td>
<td valign="middle" align="left">0.0033</td>
<td valign="middle" align="left">R</td>
<td valign="middle" align="left">MD</td>
<td valign="middle" align="left">0.19 [-0.83, 1.20]</td>
<td valign="middle" align="left">0.36</td>
<td valign="middle" align="left">0.7197</td>
</tr>
<tr>
<td valign="middle" align="left">1 year</td>
<td valign="middle" align="left">3</td>
<td valign="middle" align="left">561</td>
<td valign="middle" align="left">81.30%</td>
<td valign="middle" align="left">0.0048</td>
<td valign="middle" align="left">R</td>
<td valign="middle" align="left">MD</td>
<td valign="middle" align="left">0.32 [-0.28, 0.92]</td>
<td valign="middle" align="left">1.04</td>
<td valign="middle" align="left">0.2997</td>
</tr>
<tr>
<th valign="middle" colspan="10" align="left">Gd-IgA1</th>
</tr>
<tr>
<td valign="middle" align="left">Baseline</td>
<td valign="middle" align="left">5</td>
<td valign="middle" align="left">400</td>
<td valign="middle" align="left">2.70%</td>
<td valign="middle" align="left">0.3911</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">SMD</td>
<td valign="middle" align="left">0.05 [-0.17, 0.27]</td>
<td valign="middle" align="left">0.44</td>
<td valign="middle" align="left">0.6634</td>
</tr>
<tr>
<th valign="middle" colspan="10" align="left">Hematuria</th>
</tr>
<tr>
<td valign="middle" align="left">1 year</td>
<td valign="middle" align="left">3</td>
<td valign="middle" align="left">232</td>
<td valign="middle" align="left">89.50%</td>
<td valign="middle" align="left">0.0021</td>
<td valign="middle" align="left">R</td>
<td valign="middle" align="left">SMD</td>
<td valign="middle" align="left">1.29 [0.10, 2.47]</td>
<td valign="middle" align="left">2.13</td>
<td valign="middle" align="left">0.0328</td>
</tr>
<tr>
<td valign="middle" align="left">3 year</td>
<td valign="middle" align="left">3</td>
<td valign="middle" align="left">232</td>
<td valign="middle" align="left">97.90%</td>
<td valign="middle" align="left">&lt; 0.0001</td>
<td valign="middle" align="left">R</td>
<td valign="middle" align="left">SMD</td>
<td valign="middle" align="left">1.94 [-0.65, 4.54]</td>
<td valign="middle" align="left">1.47</td>
<td valign="middle" align="left">0.1425</td>
</tr>
<tr>
<td valign="middle" align="left">5 year</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">183</td>
<td valign="middle" align="left">99.30%</td>
<td valign="middle" align="left">&lt; 0.0001</td>
<td valign="middle" align="left">R</td>
<td valign="middle" align="left">SMD</td>
<td valign="middle" align="left">5.09 [-3.10, 13.28]</td>
<td valign="middle" align="left">1.22</td>
<td valign="middle" align="left">0.2231</td>
</tr>
<tr>
<td valign="middle" align="left">Post KT *</td>
<td valign="middle" align="left">6</td>
<td valign="middle" align="left">646</td>
<td valign="middle" align="left">77.20%</td>
<td valign="middle" align="left">0.0005</td>
<td valign="middle" align="left">R</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">3.27 [1.63, 6.55]</td>
<td valign="middle" align="left">3.33</td>
<td valign="middle" align="left">0.0009</td>
</tr>
<tr>
<th valign="middle" colspan="10" align="left">Proteinuria</th>
</tr>
<tr>
<td valign="middle" align="left">6 month</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">173</td>
<td valign="middle" align="left">67.50%</td>
<td valign="middle" align="left">0.0795</td>
<td valign="middle" align="left">R</td>
<td valign="middle" align="left">SMD</td>
<td valign="middle" align="left">0.33 [-0.31, 0.96]</td>
<td valign="middle" align="left">1.01</td>
<td valign="middle" align="left">0.3128</td>
</tr>
<tr>
<td valign="middle" align="left">1 year</td>
<td valign="middle" align="left">5</td>
<td valign="middle" align="left">477</td>
<td valign="middle" align="left">33.40%</td>
<td valign="middle" align="left">0.1989</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">SMD</td>
<td valign="middle" align="left">0.37 [0.17, 0.58]</td>
<td valign="middle" align="left">3.52</td>
<td valign="middle" align="left">0.0004</td>
</tr>
<tr>
<td valign="middle" align="left">3 year</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">197</td>
<td valign="middle" align="left">0.00%</td>
<td valign="middle" align="left">0.9672</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">SMD</td>
<td valign="middle" align="left">1.76 [1.41, 2.11]</td>
<td valign="middle" align="left">9.78</td>
<td valign="middle" align="left">&lt; 0.0001</td>
</tr>
<tr>
<td valign="middle" align="left">5 year *</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">355</td>
<td valign="middle" align="left">58.50%</td>
<td valign="middle" align="left">0.1208</td>
<td valign="middle" align="left">R</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">2.19 [1.12, 4.31]</td>
<td valign="middle" align="left">2.28</td>
<td valign="middle" align="left">0.0227</td>
</tr>
<tr>
<td valign="middle" align="left">Time at biopsy</td>
<td valign="middle" align="left">4</td>
<td valign="middle" align="left">182</td>
<td valign="middle" align="left">0.00%</td>
<td valign="middle" align="left">0.6860</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">SMD</td>
<td valign="middle" align="left">0.22 [-0.08, 0.53]</td>
<td valign="middle" align="left">1.46</td>
<td valign="middle" align="left">0.1431</td>
</tr>
<tr>
<td valign="middle" align="left">Time at biopsy *</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">334</td>
<td valign="middle" align="left">74.90%</td>
<td valign="middle" align="left">0.0461</td>
<td valign="middle" align="left">R</td>
<td valign="middle" align="left">RR</td>
<td valign="middle" align="left">3.91 [0.88, 17.25]</td>
<td valign="middle" align="left">1.80</td>
<td valign="middle" align="left">0.0722</td>
</tr>
<tr>
<td valign="middle" align="left">Last follow up</td>
<td valign="middle" align="left">7</td>
<td valign="middle" align="left">587</td>
<td valign="middle" align="left">85.30%</td>
<td valign="middle" align="left">&lt; 0.0001</td>
<td valign="middle" align="left">R</td>
<td valign="middle" align="left">SMD</td>
<td valign="middle" align="left">1.25 [0.55, 1.94]</td>
<td valign="middle" align="left">3.49</td>
<td valign="middle" align="left">0.0005</td>
</tr>
<tr>
<th valign="middle" colspan="10" align="left">eGFR (ml/min/1.73m<sup>2</sup>)</th>
</tr>
<tr>
<td valign="middle" align="left">Baseline</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">197</td>
<td valign="middle" align="left">0.00%</td>
<td valign="middle" align="left">0.8518</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">MD</td>
<td valign="middle" align="left">-0.05 [-2.28, 2.18]</td>
<td valign="middle" align="left">-0.05</td>
<td valign="middle" align="left">0.9626</td>
</tr>
<tr>
<td valign="middle" align="left">6 month</td>
<td valign="middle" align="left">5</td>
<td valign="middle" align="left">708</td>
<td valign="middle" align="left">29.70%</td>
<td valign="middle" align="left">0.2233</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">MD</td>
<td valign="middle" align="left">0.05 [-2.23, 2.33]</td>
<td valign="middle" align="left">0.04</td>
<td valign="middle" align="left">0.966</td>
</tr>
<tr>
<td valign="middle" align="left">2 year</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">307</td>
<td valign="middle" align="left">95.10%</td>
<td valign="middle" align="left">&lt; 0.0001</td>
<td valign="middle" align="left">R</td>
<td valign="middle" align="left">MD</td>
<td valign="middle" align="left">-14.37 [-37.20, 8.46]</td>
<td valign="middle" align="left">-1.23</td>
<td valign="middle" align="left">0.2173</td>
</tr>
<tr>
<td valign="middle" align="left">3 year</td>
<td valign="middle" align="left">3</td>
<td valign="middle" align="left">608</td>
<td valign="middle" align="left">98.90%</td>
<td valign="middle" align="left">&lt; 0.0001</td>
<td valign="middle" align="left">R</td>
<td valign="middle" align="left">MD</td>
<td valign="middle" align="left">-11.31 [-30.18, 7.57]</td>
<td valign="middle" align="left">-1.17</td>
<td valign="middle" align="left">0.2403</td>
</tr>
<tr>
<td valign="middle" align="left">5 year</td>
<td valign="middle" align="left">3</td>
<td valign="middle" align="left">608</td>
<td valign="middle" align="left">99.30%</td>
<td valign="middle" align="left">&lt; 0.0001</td>
<td valign="middle" align="left">R</td>
<td valign="middle" align="left">MD</td>
<td valign="middle" align="left">12.87 [-38.14, 12.40]</td>
<td valign="middle" align="left">-1.00</td>
<td valign="middle" align="left">0.3181</td>
</tr>
<tr>
<td valign="middle" align="left">Last follow up</td>
<td valign="middle" align="left">4</td>
<td valign="middle" align="left">410</td>
<td valign="middle" align="left">0.00%</td>
<td valign="middle" align="left">0.9340</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">MD</td>
<td valign="middle" align="left">-12.37 [-17.25, -7.49]</td>
<td valign="middle" align="left">-4.97</td>
<td valign="middle" align="left">&lt; 0.0001</td>
</tr>
<tr>
<th valign="middle" colspan="10" align="left">Serum creatinine (mg/dL)</th>
</tr>
<tr>
<td valign="middle" align="left">Baseline</td>
<td valign="middle" align="left">4</td>
<td valign="middle" align="left">358</td>
<td valign="middle" align="left">83.80%</td>
<td valign="middle" align="left">0.0003</td>
<td valign="middle" align="left">R</td>
<td valign="middle" align="left">MD</td>
<td valign="middle" align="left">-0.05 [-0.18, 0.08]</td>
<td valign="middle" align="left">-0.76</td>
<td valign="middle" align="left">0.4490</td>
</tr>
<tr>
<td valign="middle" align="left">6 month</td>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">173</td>
<td valign="middle" align="left">92.30%</td>
<td valign="middle" align="left">0.0003</td>
<td valign="middle" align="left">R</td>
<td valign="middle" align="left">MD</td>
<td valign="middle" align="left">-0.23 [-0.78, 0.33]</td>
<td valign="middle" align="left">-0.80</td>
<td valign="middle" align="left">0.4240</td>
</tr>
<tr>
<td valign="middle" align="left">1 year</td>
<td valign="middle" align="left">7</td>
<td valign="middle" align="left">469</td>
<td valign="middle" align="left">0.00%</td>
<td valign="middle" align="left">0.7372</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">MD</td>
<td valign="middle" align="left">-0.10 [-0.30, 0.10]</td>
<td valign="middle" align="left">-1.00</td>
<td valign="middle" align="left">0.3186</td>
</tr>
<tr>
<td valign="middle" align="left">3 year</td>
<td valign="middle" align="left">3</td>
<td valign="middle" align="left">253</td>
<td valign="middle" align="left">89.30%</td>
<td valign="middle" align="left">&lt; 0.0001</td>
<td valign="middle" align="left">R</td>
<td valign="middle" align="left">MD</td>
<td valign="middle" align="left">0.58 [-0.14, 1.30]</td>
<td valign="middle" align="left">1.57</td>
<td valign="middle" align="left">0.1156</td>
</tr>
<tr>
<td valign="middle" align="left">5 year</td>
<td valign="middle" align="left">4</td>
<td valign="middle" align="left">307</td>
<td valign="middle" align="left">99.80%</td>
<td valign="middle" align="left">&lt; 0.0001</td>
<td valign="middle" align="left">R</td>
<td valign="middle" align="left">MD</td>
<td valign="middle" align="left">1.01 [-0.55, 2.57]</td>
<td valign="middle" align="left">1.27</td>
<td valign="middle" align="left">0.2050</td>
</tr>
<tr>
<td valign="middle" align="left">Last follow up</td>
<td valign="middle" align="left">8</td>
<td valign="middle" align="left">562</td>
<td valign="middle" align="left">37.90%</td>
<td valign="middle" align="left">0.1269</td>
<td valign="middle" align="left">F</td>
<td valign="middle" align="left">MD</td>
<td valign="middle" align="left">0.49 [0.35, 0.64]</td>
<td valign="middle" align="left">6.60</td>
<td valign="middle" align="left">&lt; 0.0001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>IgAN, immunoglobulin A nephropathy; ES, effect size; CI, confidence interval; R, random effects model; F, fixed effect model; MD, mean difference; SMD, standardized mean difference; RR, risk ratio; IgG, immunoglobulin G; IgA, immunoglobulin A; Gd-IgA1, galactose deficiency IgA1; KT, kidney transplantation; eGFR, estimated glomerular filtration rate.</p>
</fn>
<fn>
<p>*dichotomous variables.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>Meta-analysis of hematuria and proteinuria in recurrent IgAN</title>
<p>The level of hematuria was found to be higher in patients with recurrence one year after transplantation, compared to those without recurrence (SMD = 1.29, 95% CI: 0.10 to 2.47, I&#xb2; = 89.50%). Additionally, patients with recurrence were more likely to have hematuria, regardless of the time of occurrence (RR = 3.27, 95% CI: 1.63 to 6.55, I&#xb2; = 77.20%). However, there was no significant difference in hematuria levels between the 3-year and 5-year follow-up periods. Urinary protein levels were also higher in patients with recurrence, and this difference was significant at follow-up periods (1 year, 3 years, 5 years, and the final follow-up).</p>
</sec>
<sec id="s3_6">
<label>3.6</label>
<title>Clinical outcomes of IgAN recurrence</title>
<p>A total of 27 studies were analyzed to determine the RR for graft loss in patients with IgAN recurrence. The results showed that the presence of IgAN recurrence was associated with poorer graft survival (RR = 2.19, 95% CI: 1.60 to 3.01, I&#xb2; = 82.80%) (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). IgAN recurrence did not have impact on post-transplant death or infection rates. With respect to renal function, no significant difference was found during the other time periods, except for worse renal function in patients with recurrence at the final follow-up (estimated glomerular filtration rate [eGFR]: MD = -12.37 ml/min/1.73m<sup>2</sup>, 95% CI: -17.25 to -7.49, I&#xb2; = 0.00%; serum creatinine: MD = 0.49 mg/dL, 95% CI: 0.35 to 0.64, I&#xb2; = 37.90%) (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>).</p>
</sec>
<sec id="s3_7">
<label>3.7</label>
<title>Publication bias</title>
<p>The majority of the P values of Egger&#x2019;s test were not significant, indicating that there was no significant publication bias (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). However, it is important to note that publication bias may be present in the analysis of the pooled RRs for donor types (living donor: p = 0.0003; related donor: p = 0.0001), induction with antithymocyte globulin (p = 0.0189) and graft loss outcome (p = 0.0040).</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>In the present systematic review and meta-analysis, our aim was to evaluate the risk factors associated with the recurrence of IgAN and provide a comprehensive summary of the outcomes based on relevant articles published until now. The immediate consequence of IgAN recurrence is an increased risk of graft loss, and similar to primary IgAN, treatment options for recurrent IgAN are limited. Thus, by studying the risk factors and employing appropriate risk stratification and preventive measures, it is possible to determine the likelihood of IgAN recurrence at an early stage and consequently reduce the recurrence rate. Although some previous studies have explored the risk factors for IgAN recurrence, their findings have been controversial due to variations in selection criteria, sample size, and study design. Therefore, in this meta-analysis, we aim to identify potential risk factors for IgAN recurrence, with key findings summarized in <xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>.</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Summary of risk factors for IgAN recurrence.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Risk factors</th>
<th valign="middle" align="left">Protective factors</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Young recipient</td>
<td valign="middle" align="left">HLA-B46 antigen</td>
</tr>
<tr>
<td valign="middle" align="left">Young donor</td>
<td valign="middle" align="left">Induction with anti-IL-2-R antibodies</td>
</tr>
<tr>
<td valign="middle" align="left">Rapid progression from IgAN diagnosis to ESKD</td>
<td valign="middle" align="left">MMF</td>
</tr>
<tr>
<td valign="middle" align="left">Short time on dialysis</td>
<td valign="middle" align="left">Pretransplant tonsillectomy</td>
</tr>
<tr>
<td valign="middle" align="left">Low total HLA mismatches</td>
<td valign="middle" align="left" rowspan="9"/>
</tr>
<tr>
<td valign="middle" align="left">Low HLA-DR mismatches</td>
</tr>
<tr>
<td valign="middle" align="left">Male recipient</td>
</tr>
<tr>
<td valign="middle" align="left">Related donor</td>
</tr>
<tr>
<td valign="middle" align="left">Retransplantation</td>
</tr>
<tr>
<td valign="middle" align="left">Hemodialysis</td>
</tr>
<tr>
<td valign="middle" align="left">No induction therapy</td>
</tr>
<tr>
<td valign="middle" align="left">mTOR inhibitor</td>
</tr>
<tr>
<td valign="middle" align="left">ACEI/ARB</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>IgAN, immunoglobulin A nephropathy; ESRD, end stage renal disease; HLA, human leukocyte antigen; ACEI, angiotensin-converting enzyme inhibitors; ARB, angiotensin receptor blockers; MMF, mycophenolate mofetil.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>IgAN is a systemic autoimmune disease which affects both the native and allograft kidney with a high recurrence (<xref ref-type="bibr" rid="B67">67</xref>). The &#x201c;multi-hit&#x201d; hypothesis is widely accepted as the pathogenesis of IgAN (<xref ref-type="bibr" rid="B67">67</xref>, <xref ref-type="bibr" rid="B68">68</xref>). Although this hypothesis is yet to be proven, it has gained wide acceptance due to the available evidence (<xref ref-type="bibr" rid="B67">67</xref>). Therefore, we have attempted to establish a connection between our findings and the four stages of its pathogenesis.</p>
<p>The first step in the pathogenesis is an increase in circulating abnormal IgA (Gd-IgA1). The serum level of Gd-IgA1 was found to be elevated in patients with native IgAN (<xref ref-type="bibr" rid="B69">69</xref>). Additionally, patients who underwent KT also exhibited higher serum levels of Gd-IgA1 compared to healthy controls, both at diagnosis and at transplant (<xref ref-type="bibr" rid="B26">26</xref>). However, our pooled results indicate that serum Gd-IgA1 levels did not serve as a predictor for recurrence, but it is important to note that these measurements were taken at baseline. To the best of our knowledge, there have been no studies investigating the relationship between dynamic changes in serum Gd-IgA1 levels post-KT and the occurrence of recurrence. Further research in this area is imperative. The immune cells responsible for the production of Gd-IgA1 are present in the mucosa-associated lymphoid tissues, with the tonsil being a key component of these tissues (<xref ref-type="bibr" rid="B70">70</xref>, <xref ref-type="bibr" rid="B71">71</xref>). Currently, the KDIGO clinical practice guidelines do not recommend tonsillectomy as a part of the treatment for native IgAN. However, studies have shown that tonsillectomy can lead to clinical remission and lower the incidence of ESRD in patients with native IgAN (<xref ref-type="bibr" rid="B72">72</xref>, <xref ref-type="bibr" rid="B73">73</xref>). This finding has also been supported by a recent study with a large sample size (<xref ref-type="bibr" rid="B74">74</xref>). In the case of KT, our pooled results suggest that tonsillectomy may also prevent recurrence, though this conclusion is based on only 350 transplants from two studies (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B34">34</xref>). Another aspect to consider is the associated risk of complications from tonsillectomy, which has been reported to range from 2.8% to 3.2% (<xref ref-type="bibr" rid="B74">74</xref>, <xref ref-type="bibr" rid="B75">75</xref>). Therefore, it is necessary to conduct well-designed prospective studies to thoroughly evaluate the benefits and risks of tonsillectomy in the prevention and treatment of recurrent IgAN within the context of KT.</p>
<p>Anti-glycan immunoglobulin G autoantibodies (IgG) bind to abnormal IgA to form circulating immune complexes (<xref ref-type="bibr" rid="B76">76</xref>). However, no predictive effect of serum IgG on recurrence was detected in present study. Serum IgG antiglycan autoantibody level at transplant has been found to predict recurrence, but this was investigated in only one study, limiting further synthetic analysis (<xref ref-type="bibr" rid="B26">26</xref>). Genetic background, particularly major histocompatibility complex (MHC) sites, also play important roles in native IgAN disease (<xref ref-type="bibr" rid="B77">77</xref>&#x2013;<xref ref-type="bibr" rid="B79">79</xref>). However, these antigens have not been systematically studied in the context of recurrent IgAN, and our results suggest that HLA-B46 is a protective factor. We found that patients with rapid progression of the primary disease were more likely to recur, possibly due to a stronger ongoing systemic autoimmune response after KT. Additionally, our study found that older recipients had a lower risk of recurrence, which may be due to a decrease in the production of autoantibodies by the immune system with age, consistent with what is observed in primary IgAN. Theoretically, regulation of the pathogenic immune pathway may alter the natural course of the disease. However, the role of immunosuppressive drugs in native IgAN remains controversial. Patients not receiving induction therapy had a 73% increased risk of recurrence, but this may be related to HLA matching, as patients with lower HLA mismatch were more likely not to receive induction therapy. The soluble IL-2 receptor &#x3b1; has been found to be associated with the progression of native IgAN (<xref ref-type="bibr" rid="B80">80</xref>). The anti-IL-2-R antibody targets the CD25 antigen (IL-2-R) on activated T lymphocytes, thereby blocking IL-2 binding (<xref ref-type="bibr" rid="B81">81</xref>). As a result, there is a cell cycle arrest in the G0 or G1 phase, which inhibits T cell proliferation. This suggests that the anti-IL-2-R antibody may inhibit the production of autoantibodies mediated by the above-mentioned pathway and therefore prevent the recurrence of IgAN after KT. Of the maintenance drugs, MMF was found to lower the risk of recurrence, possibly due to its ability to inhibit B and T lymphocyte proliferation and reduce the production of autoantibodies and Gd-IgA1 (<xref ref-type="bibr" rid="B82">82</xref>). Although mTOR inhibitors have also been associated with inhibition of T cell proliferation, their use was found to be associated with an increased risk of recurrence, possibly because mTOR inhibitors increase proteinuria and thus increase the chance of biopsy, leading to the detection of subclinical pathological recurrence findings (<xref ref-type="bibr" rid="B83">83</xref>, <xref ref-type="bibr" rid="B84">84</xref>).</p>
<p>In the final stage of pathogenesis, mesangial deposition of circulating Gd-IgA1-antiglycan IgG immune complex in the renal allograft results in cell activation and glomerular injury, ultimately leads to recurrence. Transferrin receptor 1 (TfR1) was identified as an IgA1 receptor expressed on human mesangial cells and has affinity with the immune complex formed by Gd-IgA1 and IgG (<xref ref-type="bibr" rid="B85">85</xref>). Our observation that related donors and patients with low HLA mismatch are more likely to recur may indicate that allografts with similar genetic backgrounds may express more IgA1 receptors and therefore have higher affinity for host circulating immune complexes. Glomerular injury results in hematuria and proteinuria production, as our study found that patients had higher levels of urinary red blood cells and urinary protein before and after recurrence, which reminds us that more attention should be paid to urinalysis in the follow-up of these patients to determine the timing of biopsy. The role of ACEI/ARB in conservative therapy for native or recurrent IgAN is well established (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B86">86</xref>). Our study found that recurrent patients were more likely to receive ACEI/ARB therapy, possibly because patients with recurrence were more prone to proteinuria during the course of the disease, leading to confounding bias. Furthermore, other medications, such as MMF and other immunosuppressants may conceal the protective effect of ACEI/ARB in KT (<xref ref-type="bibr" rid="B82">82</xref>).</p>
<p>Other risk factors were also identified in our study. Male recipients were more likely to recur, consistent with the higher prevalence observed in males in native IgAN (<xref ref-type="bibr" rid="B68">68</xref>). The donor age of recurrent recipients was also found to be younger. The duration of dialysis in recurrent patients was 3.14 months shorter than in non-recurrent patients. It is worth noting that the duration of dialysis in living related donor recipients is usually short, and we observed that the recurrence risk of these individuals is lower. However, preemptive transplant patients and patients receiving dialysis did not differ in recurrence risk. Since recurrence increases the risk of graft failure, and the same risk factors make it easier to recur after a second or subsequent transplant. Our study lacked analysis of immunopathological and histopathological risk factors. Previous studies have shown that complement deposition, such as C4d in the glomeruli, plays an important role in graft loss in recurrent IgAN (<xref ref-type="bibr" rid="B87">87</xref>). Given the low prevalence of procedural biopsy, it is difficult to analyze its predictive effect on the risk of recurrence.</p>
<p>This study has several limitations. All the studies included in this meta-analysis are retrospective studies, which may introduce inevitable biases. Furthermore, the overall quality of the studies is rated as medium. All the patients included in the analysis had a biopsy-confirmed diagnosis of IgAN, which could potentially result in selection bias and underestimate the recurrent incidence of IgAN. Additionally, some of the analysis is based on univariate data, which could be influenced by confounding factors. A number of the identified risk factors are based on limited studies and small sample sizes, so further research is required to verify these findings. Moreover, most of the results from Egger&#x2019;s test showed p-values greater than 0.05, indicating no significant publication bias in the included literature. However, we were unable to analyze publication bias for the analysis with less than 10 included articles. This limitation arises from the fact that the power of Egger&#x2019;s test greatly decreases when the number of studies is small. Additionally, we restricted the study to articles published in English and Chinese, potentially excluding studies in other relevant languages and introducing publication bias. As a result, it is advisable to exercise caution when interpreting the results of this meta-analysis.</p>
<p>In conclusion, this meta-analysis has identified several factors associated with IgAN recurrence after KT. As patients with recurrence had poor graft outcomes, our findings may improve pre-transplant evaluation of individuals with IgAN induced renal failure. By properly stratifying risk and implementing appropriate interventions, it might be of help to enhance long-term outcomes in this population.</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/<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>. Further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s6" sec-type="author-contributions">
<title>Author contributions</title>
<p>YL: data curation, formal analysis, investigation, methodology, software, visualization, writing &#x2013; original draft. TY: writing &#x2013; original draft, data curation, formal analysis, investigation. TL: funding acquisition, supervision, validation, writing &#x2013; review &amp; editing. TS: supervision, validation, writing &#x2013; review &amp; editing, conceptualization, funding acquisition, project administration, software.</p>
</sec>
</body>
<back>
<sec id="s7" 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. This study was supported by the Natural Science Foundation of China (Grant number 81870513) and the Key Research funding for Sichuan province (Grant number 2021YFS0118).</p>
</sec>
<sec id="s8" 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="s9" 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>
<sec id="s10" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fimmu.2023.1277017/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fimmu.2023.1277017/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
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