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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Nephrol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Nephrology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Nephrol.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2813-0626</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fneph.2026.1648950</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Treatment practices, characteristics and outcome of immunoglobulin A nephropathy &#x2013; a Swiss single center experience</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Taing</surname><given-names>Danny Thieny</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/3254715/overview"/>
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<contrib contrib-type="author">
<name><surname>Vogt</surname><given-names>Bruno</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Mani</surname><given-names>Laila-Yasmin</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
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<aff id="aff1"><label>1</label><institution>Department of Nephrology and Hypertension, Inselspital, Bern University Hospital, University of Bern</institution>, <city>Bern</city>,&#xa0;<country country="ch">Switzerland</country></aff>
<aff id="aff2"><label>2</label><institution>Department of Radiation Oncology, Kantonsspital Aarau</institution>, <city>Aarau</city>,&#xa0;<country country="ch">Switzerland</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Laila-Yasmin Mani, <email xlink:href="mailto:Laila.Mani@insel.ch">Laila.Mani@insel.ch</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-27">
<day>27</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>6</volume>
<elocation-id>1648950</elocation-id>
<history>
<date date-type="received">
<day>06</day>
<month>10</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>05</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="rev-recd">
<day>29</day>
<month>12</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Taing, Vogt and Mani.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Taing, Vogt and Mani</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-27">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Introduction</title>
<p>Immunoglobulin A nephropathy (IgAN) is the most common primary glomerulonephritis worldwide. Geographic differences in disease course and treatment response are well recognized. The purpose of this analysis was to study clinical and histological characteristics, treatment practices and outcome of IgAN cases from a Swiss tertiary center.</p>
</sec>
<sec>
<title>Methods</title>
<p>This retrospective cohort analysis identified 158 cases of adult biopsy-proven IgAN by chart review diagnosed between 1980 and 2016. Following detailed phenotyping, standard descriptive methods and univariate analysis were applied.</p>
</sec>
<sec>
<title>Results</title>
<p>The majority of patients was male and of European ancestry. At diagnosis, mean estimated glomerular filtration rate (eGFR) was 55.7 ml/min/1.73 m<sup>2</sup>, mean proteinuria was 2.4 g/d and 69.9% of the patients were hypertensive. Clinical presentation varied according to age. Initial biopsies showed moderate to severe tubular atrophy and interstitial fibrosis (IFTA) in 29.1% and crescents in 36.7% of cases. Therapy included renin-angiotensin-aldosterone-inhibitors in 86.7% as well as immunosuppressive therapy in 46.8% including steroids and other immunosuppressive drugs (28.7%), mainly azathioprin. Outcome included 34.1% complete and 22.2% partial remissions, relapses in 32.0% of patients, while 43.0% of patients progressed to ESKD during follow-up (median 100.0 months). Recurrence rate after transplantation was 18.8%. Immunosuppressive therapy was more frequently used in patients with higher proteinuria level, higher hematuria grade, lower eGFR, more intense IgA and complement C3 staining and crescents. Predictors of progression were higher age, lower eGFR, higher proteinuria and blood pressure as well as crescents and higher extent of IFTA on the initial biopsy.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>This retrospective cohort analysis gives insight into characteristics and outcome of patients with IgAN from a Swiss tertiary center, treatment practices as well as predictors of outcome and therapy choices. A comparatively high use of immunosuppressive treatment including non-steroid-based regimens was found along with a high rate of progression to ESKD.</p>
</sec>
</abstract>
<kwd-group>
<kwd>cohort analysis</kwd>
<kwd>end-stage kidney disease</kwd>
<kwd>glomerular filtration rate</kwd>
<kwd>glomerulonephritis</kwd>
<kwd>hematuria</kwd>
<kwd>IgA nephropathy</kwd>
<kwd>immunosuppression</kwd>
<kwd>proteinuria</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was not received for this work and/or its publication.</funding-statement>
</funding-group>
<counts>
<fig-count count="4"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="37"/>
<page-count count="11"/>
<word-count count="5351"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Glomerular disease</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Immunoglobulin A (IgA) nephropathy is the most common primary glomerulonephritis worldwide (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). It is defined histologically by the dominant or co-dominant glomerular deposition of IgA1 antibodies in a mesangial location (<xref ref-type="bibr" rid="B3">3</xref>). Progression to end-stage kidney disease (ESKD) occurs in a substantial part of affected patients (<xref ref-type="bibr" rid="B4">4</xref>). However, the range of clinical manifestations is wide reaching from asymptomatic isolated urinary abnormalities, progressive chronic impairment of kidney function or nephrotic syndrome to rapid progressive acute kidney injury (AKI) and systemic vasculitis (Henoch-Sch&#xf6;nlein purpura) (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>). Moreover, large geographic and ethnic differences exist with regard to disease prevalence, presentation, outcome, and response to therapy (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B7">7</xref>&#x2013;<xref ref-type="bibr" rid="B12">12</xref>). Taken together, these data suggest IgA nephropathy as a disease spectrum rather than a well-defined disease entity (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>).</p>
<p>The primary form of IgA nephropathy is an immune-mediated disease involving a multi-hit pathogenesis (<xref ref-type="bibr" rid="B15">15</xref>). Until recently, treatment approaches have focused on supportive care including renin-angiotensin-aldosterone-system (RAAS) inhibition, more recently sodium-glucose cotransporter-2 inhibition and optimal control of cardiovascular risk factors (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>). The role of an autoimmunity-oriented approach as opposed to a purely chronic kidney disease (CKD)-oriented approach has been controversially debated during the last decades (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>). Given the paucity of high-quality clinical data and concern for medication-induced toxicity, immunosuppressive treatment has generally been reserved for patients with high risk of disease progression or rapid progressive disease course (<xref ref-type="bibr" rid="B20">20</xref>). However, local therapy regimens varied greatly according to geographic location and probably even according to centers (<xref ref-type="bibr" rid="B21">21</xref>).</p>
<p>In this work, we aimed to perform a detailed review of all cases of patients with IgA nephropathy treated at a Swiss tertiary center with focus on disease characteristics, treatment practices and outcome as well as to evaluate potential predictors of therapeutic choices and patient outcome.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<p>The study was designed as retrospective cohort analysis including all adult patients with a diagnosis of biopsy-proven IgA nephropathy included in the electronic medical record (introduced in November 2008) of the University clinic for Nephrology and Hypertension at the University Hospital Bern as of July 19th 2016. The electronic medical record database containing all patients followed or having been followed at our center was searched using the term &#x201c;IgA&#x201d;. Inclusion criteria were patients with a diagnosis of IgA nephropathy older than 18 years old. Exclusion criteria were lack of performed kidney biopsy and lack of clinical data entries.</p>
<p>For eligible patients, chart review was performed by collecting relevant pre-defined disease-related data within the electronic medical records. The dataset contained the following parameters: Demographic parameters (age, sex as noted in the clinical chart, ethnicity, place of birth); family history (e.g. kidney disease, consanguinity); clinical parameters (height, body weight, body mass index, blood pressure); clinical presentation (renal manifestations: nephrotic syndrome, acute kidney injury and AKIN stage, CKD stage according to KDIGO, edema, flank pain and extrarenal manifestations: purpura, arthritis, abdominal pain); laboratory parameters (hemoglobin, serum albumin, serum creatinine, estimated glomerular filtration rate (eGFR) using Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) 2009 formula, CKD stage according to Kidney Disease: Improving Global Outcomes, measured creatinine clearance, 24-hour urine protein, 24-hour urine albumin, urinary protein-creatinine ratio (g/mol), urinary albumin-creatinine ratio, hematuria intensity; proteinuria level was assessed using proteinuria as measured from an adequately collected 24h-urine collection if available or estimated from urinary protein-creatinine ratio); histological parameters (proportion of glomeruli with crescents, Haas classification (<xref ref-type="bibr" rid="B22">22</xref>) stage and Oxford classification/MEST score (<xref ref-type="bibr" rid="B23">23</xref>), tubular atrophy and interstitial fibrosis (IFTA) grading (according to original pathology report; degree of tubular atrophy/interstitial fibrosis (mild &lt; 25%, moderate 25-50%, severe &gt;50%)), IgA/IgG and complement C3 deposit grading; administered therapies (RAAS inhibitors, steroids, immunosuppressive drugs, tonsillectomy); outcome data (remission, ESKD, dialysis or kidney transplantation, recurrence of IgA nephropathy in the kidney transplant, death), as well as clinical and laboratory parameters at the time of last follow-up.</p>
<p>Complete remission was defined as sustained proteinuria &lt; 0.3 g/d with preserved kidney function within one year after treatment start. Partial remission was defined as &#x2265; 50% decrease in proteinuria and proteinuria &#x2265;0.3 g/d and &lt;1 g/d within one year after treatment start. No remission was defined as not fulfilling criteria for remission. Relapse was defined as the reappearance of proteinuria &gt;1g/d and increase of 50% from the lowest level of proteinuria in remission. Acute kidney injury was defined according to Kidney Disease Improving Global Outcomes Guidelines 2012 (<xref ref-type="bibr" rid="B24">24</xref>). Reduced GFR (rGFR) was defined as decrease in eGFR &lt;60 ml/min/1.73 m<sup>2</sup>. There were no prevailing standard therapy guidelines and treatment was performed according to treating nephrologists.</p>
<p>Statistical analysis was performed using Microsoft Excel<sup>&#xae;</sup> 2016 for standard descriptive methods (means, standard deviation or medians and ranges as appropriate). SPSS Version: 28.0.1.1 (14) was used to carry out group comparisons: Continuous variables were compared using student&#x2019;s t-test on a two-sided significance level of 0.05. Dichotomic variables were compared using Chi square test on a two-sided significance level of 0.05.</p>
<p>The study was approved by the cantonal ethics committee of the canton of Bern, Switzerland (approval number 2022-02292).</p>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Patient cohort</title>
<p>The screening of the hospital&#x2019;s electronic database for the term &#x201c;IgA&#x201d; between 1980 and 2016 resulted in 2542 patient entries. After exclusion of double entries, 752 patients were screened. Among those, 583 had no diagnosis of IgA nephropathy and were therefore excluded. Another 11 patients were excluded because of lack of histological confirmation or of missing clinical data. Finally, a total of 158 patients with IgA nephropathy diagnosed between 1980 and 2016 was included in the analysis (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Patient flow chart. IgAN: IgA nephropathy.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fneph-06-1648950-g001.tif">
<alt-text content-type="machine-generated">Flowchart showing patient selection for IgAN study. Initially, 2,542 database entries are screened, with 1,790 as double entries, leaving 752 patients. Of these, 583 are excluded for lacking an IgAN diagnosis. 169 patients are identified with IgAN. Another 11 patients are excluded due to lack of histological diagnosis (4) or incomplete data (7), resulting in 158 patients included in the study.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Baseline characteristics, clinical and histological presentation</title>
<p>Baseline characteristics of the included patients are shown in <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>. The majority of patients was male and of European ancestry. Positive family history for IgA nephropathy was present in 0.6% of patients.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Baseline patient characteristics at diagnosis (n=158).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" colspan="2" align="left">Demographics and baseline clinical data</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Age (years)</td>
<td valign="middle" align="left">53.5 &#xb1; 14.8</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="left">Gender (%)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;- female</td>
<td valign="middle" align="left">21.1</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;- male</td>
<td valign="middle" align="left">78.9</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="left">Ethnicity (%)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;- European ancestry</td>
<td valign="middle" align="left">85.4</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;- Asian</td>
<td valign="middle" align="left">8.9</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;- African</td>
<td valign="middle" align="left">3.2</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;- Hispanic</td>
<td valign="middle" align="left">2.5</td>
</tr>
<tr>
<td valign="middle" align="left">BMI (kg/m<sup>2</sup>)</td>
<td valign="middle" align="left">26.7 &#xb1; 6.1</td>
</tr>
<tr>
<td valign="middle" align="left">Positive family history for IgA nephropathy (%)</td>
<td valign="middle" align="left">0.6</td>
</tr>
</tbody>
</table>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" colspan="2" align="left">Clinical presentation</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" colspan="2" align="left">Blood pressure (mmHg)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;- systolic (n=127)</td>
<td valign="middle" align="left">138.3 &#xb1; 21.9</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;- diastolic (n=127)</td>
<td valign="middle" align="left">84.0 &#xb1; 14.2</td>
</tr>
<tr>
<td valign="middle" align="left">Hypertension (%) (n=109)</td>
<td valign="middle" align="left">69.9</td>
</tr>
<tr>
<td valign="middle" align="left">Serum creatinine (&#xb5;mol/l) (n=136)</td>
<td valign="middle" align="left">175.4 &#xb1; 126.7</td>
</tr>
<tr>
<td valign="middle" align="left">Estimated glomerular filtration rate* (ml/min/1.73 m<sup>2</sup>) (n=136)</td>
<td valign="middle" align="left">55.7 &#xb1; 30.6</td>
</tr>
<tr>
<td valign="middle" align="left">Proteinuria<sup>+</sup> (g/d) (n=132)</td>
<td valign="middle" align="left">2.4 &#xb1; 2.0</td>
</tr>
<tr>
<td valign="middle" align="left">Nephrotic syndrome (%)</td>
<td valign="middle" align="left">9.5</td>
</tr>
<tr>
<td valign="middle" align="left">Presence of microhematuria (%) (n=125)</td>
<td valign="middle" align="left">90.4</td>
</tr>
<tr>
<td valign="middle" align="left">Presence of macrohematuria (%) (n=153)</td>
<td valign="middle" align="left">29.1</td>
</tr>
<tr>
<td valign="middle" align="left">Extrarenal symptoms (%) (n=153)</td>
<td valign="middle" align="left">4.58</td>
</tr>
</tbody>
</table>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" colspan="2" align="left">Histological characteristics</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Presence of crescents (%) (n=151)</td>
<td valign="middle" align="left">36.7</td>
</tr>
<tr>
<td valign="middle" align="left">Presence of moderate to severe tubular atrophy and interstitial fibrosis<sup>#</sup> (% of patients) (n=141)</td>
<td valign="middle" align="left">29.1</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="left">MEST-C score<sup>++</sup> (n=31) n (%)</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="left">- mesangial hypercellularity</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;M0</td>
<td valign="middle" align="left">12 (38.7)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;M1</td>
<td valign="middle" align="left">19 (61.3)</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="left">- endocapillary hypercellularity</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;E0</td>
<td valign="middle" align="left">25 (80.6)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;E1</td>
<td valign="middle" align="left">6 (19.4)</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="left">- segmental glomerulosclerosis</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;S0</td>
<td valign="middle" align="left">13 (41.9)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;S1</td>
<td valign="middle" align="left">18 (58.1)</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="left">- tubular atrophy/interstitial fibrosis</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;T0</td>
<td valign="middle" align="left">22 (71.0)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;T1</td>
<td valign="middle" align="left">8 (25.8)</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;T2</td>
<td valign="middle" align="left">1 (3.2)</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="left">- cellular/fibrocellular crescents</td>
</tr>
<tr>
<td valign="middle" align="left">C0</td>
<td valign="middle" align="left">NA</td>
</tr>
<tr>
<td valign="middle" align="left">C1</td>
<td valign="middle" align="left">NA</td>
</tr>
<tr>
<td valign="middle" align="left">C2</td>
<td valign="middle" align="left">NA</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Values are expressed as means with standard deviation or proportions. Extrarenal symptoms included purpura, arthritis and abdominal pain. *according to Chronic Kidney Disease Epidemiology Collaboration 2009 formula. <sup>+</sup>measured from adequately collected 24h-urine collection if available or estimated from urinary protein-creatinine ratio.<sup>#</sup> treated as binary variable. MEST-Score according to Oxford classification. <sup>++</sup>MEST score available for a small subset of patients (n=31) due to diagnosis before introduction of the Oxford classification in the majority of patients.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>At presentation, nearly one third of patients was symptomatic including macrohematuria (29.1%), edema (19.0%) or flank pain (9.5%). Roughly 5% of patients presented with extrarenal symptoms including purpura, arthritis or abdominal pain. The majority (69.9%) of patients was hypertensive. As expected, hematuria was seen in almost all patients, while over half of the patients presented with proteinuria &#x2265; 1 g/d with an overall mean proteinuria of 2.4 g/d. Almost one of ten patients had nephrotic syndrome at the initial presentation. Baseline kidney function ranged from preserved to severely impaired with a mean eGFR according to CKD-EPI across the cohort of 55.7 ml/min/1.73 m<sup>2</sup>. Three patients required dialysis treatment at presentation. Overall, most of the patients (86.7%) presented with chronically impaired kidney function.</p>
<p>Clinical presentation varied according to age. Thus, younger patients (18&#x2013;39 years) presented more frequently with macrohematuria and asymptomatic urine abnormalities and acute kidney injury at time of diagnosis while nephrotic syndrome and extrarenal symptoms were recorded in similar proportions of patients (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2</bold></xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Clinical presentation according to age. Values are expressed as percentage of patients in each age group presenting with a particular clinical picture (mutually exclusive). Age groups: 18&#x2013;39 years (n = 28), 40&#x2013;59 years (n = 76), 60+ years (n = 54). Extrarenal symptoms included purpura, arthritis and abdominal pain. UA, Asymptomatic urine abnormalities; rGFR, reduced glomerular filtration rate (&lt;60 ml/min/1.73 m<sup>2</sup>).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fneph-06-1648950-g002.tif">
<alt-text content-type="machine-generated">Bar chart showing the percentage distribution of clinical presentation by age groups: 18-39, 40-59, and 60+. Categories include Extrarenal Symptoms, Macrohematuria, asymptomatic urine abnormalities, Nephrotic Syndrome, reduced GFR &lt; 60 ml/min, and acute kidney injury. Clinical presentation varies according to age group.</alt-text>
</graphic></fig>
<p>Furthermore, clinical presentation varied according to sex. By trend, women presented more frequently with nephrotic syndrome and asymptomatic urine abnormalities whereas extrarenal symptoms tended to be more frequent in men (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Clinical presentation according to sex. Values are expressed as percentage of patients in each age group presenting with a particular clinical picture (mutually exclusive). Extrarenal symptoms included purpura, arthritis and abdominal pain. UA, Asymptomatic urine abnormalities; rGFR, reduced glomerular filtration rate (&lt;60 ml/min/1.73 m<sup>2</sup>).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fneph-06-1648950-g003.tif">
<alt-text content-type="machine-generated">Bar chart comparing clinical presentation by sex. Categories include Extrarenal Symptoms, Macrohematuria, asymptomatic urine abnormalities, Nephrotic Syndrome, reduced GFR &lt;60 ml/min, and acute kidney injury. Clinical presentation varies according to sex.</alt-text>
</graphic></fig>
<p>The majority of kidney biopsies was analyzed before introduction of the Oxford classification. In 36.7% of biopsies, crescents were present; in 1.9% of biopsies, more than 50% of the glomeruli were affected by crescents. Moderate to severe tubular atrophy and interstitial fibrosis was noted in roughly a third of patients on the initial biopsy. MEST scores, where available, showed endocapillary hypercellularity in a minority of patients, yet low scores for tubular atrophy/interstitial fibrosis. There were no cases of concomitant diabetic nephropathy.</p>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Treatment and outcome</title>
<p>Administered therapies are displayed in <xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4</bold></xref>. Overall, the treatment regimen of 86.7% of the patients included inhibitors of the RAAS; half of the patients without RAAS inhibitor therapy had received a diagnosis of IgA nephropathy before 1990 (market introduction of RAAS inhibitors). In 44.9% of patients, therapy was based exclusively on RAAS inhibitors whereas 46.8% of patients received immunosuppressive therapy in addition to RAAS inhibitor treatment. In nearly all (95.7%) patients, the immunosuppressive regimen included oral and/or intravenous glucocorticoids with 40.5% of these patients receiving glucocorticoid monotherapy. The most frequently used non-steroid therapies were cyclophosphamide and azathioprine, followed by mycophenolate mofetil and finally by calcineurin inhibitors.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Overall therapy since diagnosis. Values are expressed as percentage of patients receiving specific therapies. RAAS, Renin-Angiotensin-Aldosterone System; NA, data not available.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fneph-06-1648950-g004.tif">
<alt-text content-type="machine-generated">Pie charts showing distribution of received therapies since diagnosis. The left chart is divided into: no medication at 5.1 percent, RAAS inhibitors as sole therapy at 44.9 percent, and immunosuppressive treatment at 46.8 percent. The right chart is subdivided into: steroids only at 40.5 percent, mycophenolate mofetil at 14.9 percent, azathioprine and cyclophosphamide each at 28.4 percent, cyclosporine, and tacrolimus at 4.1 percent.</alt-text>
</graphic></fig>
<p>Overall, remission rate was 56.3% with 34.1% of all patients fulfilling criteria for complete remission and 22.2% reaching partial remission respectively (<xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>). At the last follow-up, mean serum creatinine was 167.4 &#xb5;mol/l with a mean eGFR according to CKD-EPI of 55.2 ml/min/1.73 m<sup>2</sup> and mean proteinuria of 0.8 g/d. Mean systolic and diastolic blood pressure values were 129.5 mmHg and 79.0 mmHg respectively. A total of 43.0% of patients progressed to ESKD during follow-up, whereas 55.6% of patients developed ESKD within 7 years of follow-up. Among patients not reaching ESKD, 7.9% had a doubling of serum creatinine value at some point during follow-up. Nearly a third of the patients (31.6%) received a kidney transplant. One-fifth (18.8%) of the transplanted patients developed recurrence of IgA nephropathy within a median follow-up time of 79.7 (10.8 &#x2013; 457.1) months. Graft rejections occurred in 11.1% of transplanted patients. The mortality rate in the total cohort was 8.9% within a median follow-up time of 100.0 (0.2-457.1) months.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Patient outcome.</p>
</caption>
<table frame="hsides">
<tbody>
<tr>
<td valign="middle" colspan="2" align="left">Blood pressure (mmHg) at last follow-up (n=138)</td>
</tr>
<tr>
<td valign="middle" align="left">- systolic</td>
<td valign="middle" align="left">129.5 &#xb1; 14.9</td>
</tr>
<tr>
<td valign="middle" align="left">- diastolic</td>
<td valign="middle" align="left">79.0 &#xb1; 11.5</td>
</tr>
<tr>
<td valign="middle" align="left">Serum creatinine (&#xb5;mol/l) at last follow-up (n=142)</td>
<td valign="middle" align="left">167.4 &#xb1; 144.0</td>
</tr>
<tr>
<td valign="middle" align="left">Estimated glomerular filtration rate* (ml/min/1.73 m<sup>2</sup>) at last follow-up</td>
<td valign="middle" align="left">55.2 &#xb1; 28.0</td>
</tr>
<tr>
<td valign="middle" align="left">Proteinuria<sup>+</sup> (g/d) at last follow-up (n=144)</td>
<td valign="middle" align="left">0.8 &#xb1; 1.7</td>
</tr>
<tr>
<td valign="middle" colspan="2" align="left">Remission after treatment<sup>#</sup> (%)</td>
</tr>
<tr>
<td valign="middle" align="left">- partial remission</td>
<td valign="middle" align="left">22.2</td>
</tr>
<tr>
<td valign="middle" align="left">- complete remission</td>
<td valign="middle" align="left">34.1</td>
</tr>
<tr>
<td valign="middle" align="left">- no response</td>
<td valign="middle" align="left">43.7</td>
</tr>
<tr>
<td valign="middle" align="left">Acute kidney injury at any time-point after diagnosis</td>
<td valign="middle" align="left">12.0</td>
</tr>
<tr>
<td valign="middle" align="left">Doubling of serum creatinine (without ESKD) (%)</td>
<td valign="middle" align="left">7.9</td>
</tr>
<tr>
<td valign="middle" align="left">End-stage kidney disease (%)</td>
<td valign="middle" align="left">43.0</td>
</tr>
<tr>
<td valign="middle" align="left">End-stage kidney disease within 7 years (%)</td>
<td valign="middle" align="left">55.6</td>
</tr>
<tr>
<td valign="middle" align="left">Kidney transplantation (%)</td>
<td valign="middle" align="left">31.6</td>
</tr>
<tr>
<td valign="middle" align="left">- graft rejection rate (%)</td>
<td valign="middle" align="left">11.1</td>
</tr>
<tr>
<td valign="middle" align="left">- IgAN recurrence after transplantation (%)</td>
<td valign="middle" align="left">18.8</td>
</tr>
<tr>
<td valign="middle" align="left">Death (%)</td>
<td valign="middle" align="left">8.9</td>
</tr>
<tr>
<td valign="middle" align="left">Median follow-up time (months)</td>
<td valign="middle" align="left">100.0 (0.2-457.1)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Values are expressed as means with standard deviation, medians with ranges as indicated or proportions of patients. ESKD: end-stage kidney disease. *according to Chronic Kidney Disease Epidemiology Collaboration 2009 formula. <sup>+</sup>measured from adequately collected 24h-urine collection if available or estimated from urinary protein-creatinine ratio. Acute kidney injury as defined by Kidney Disease Improving Global Outcomes Guidelines 2012. <sup>#</sup> defined as best therapy response occurring within one year after first treatment line.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Predictors of immunosuppressive therapy use</title>
<p>The comparison between patients treated with and without immunosuppressive therapy showed several differences (<xref ref-type="table" rid="T3"><bold>Table&#xa0;3</bold></xref>). Immunosuppressive therapy was more frequently prescribed to patients with nephrotic syndrome and higher proteinuria level, higher hematuria intensity, lower eGFR and in the presence of extrarenal symptoms. In addition, patients with histological findings including presence of crescents and higher immunoglobulin A and C3 staining intensity on kidney biopsy were more likely to receive immunosuppressive treatment. In contrast, age did not significantly affect the decision to apply immunosuppressive therapy. Interestingly, degrees of IFTA were higher at baseline in patients finally treated with immunosuppression.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Group comparison according to use of immunosuppressive therapy.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">Patient characteristics at baseline</th>
<th valign="middle" align="left">Immunosuppressive therapy</th>
<th valign="middle" align="left">No immuno-suppressive therapy</th>
<th valign="middle" rowspan="2" align="left">T (df)</th>
<th valign="middle" rowspan="2" align="left">&#x3c7;2 (df)</th>
<th valign="middle" rowspan="2" align="left">P value</th>
</tr>
<tr>
<th valign="middle" align="left">(N = 74)</th>
<th valign="middle" align="left">(N = 76)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Age (years)</td>
<td valign="middle" align="left">52.9 &#xb1; 14.6</td>
<td valign="middle" align="left">53.3 &#xb1; 15.0</td>
<td valign="middle" align="left">0.181 (148)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.857</td>
</tr>
<tr>
<td valign="middle" align="left">Female (%)</td>
<td valign="middle" align="left">29.7</td>
<td valign="middle" align="left">25.0</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.422 (1)</td>
<td valign="middle" align="left">0.584</td>
</tr>
<tr>
<td valign="middle" align="left">Systolic BP (mmHg)</td>
<td valign="middle" align="left">138.9 &#xb1; 23.8</td>
<td valign="middle" align="left">138.3 &#xb1; 20.5</td>
<td valign="middle" align="left">-0.155 (123)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.877</td>
</tr>
<tr>
<td valign="middle" align="left">Diastolic BP (mmHg)</td>
<td valign="middle" align="left">85.6 &#xb1; 13.8</td>
<td valign="middle" align="left">82.9 &#xb1; 14.8</td>
<td valign="middle" align="left">-1.058 (123)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.292</td>
</tr>
<tr>
<td valign="middle" align="left">eGFR<sup>*</sup> (ml/min/1.73 m<sup>2</sup>)</td>
<td valign="middle" align="left">49.9 &#xb1; 31.0</td>
<td valign="middle" align="left">60.9 &#xb1; 29.7</td>
<td valign="middle" align="left">2.008 (132)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"><bold>0.039</bold></td>
</tr>
<tr>
<td valign="middle" align="left">Proteinuria 24h<sup>+</sup> (g/d)</td>
<td valign="middle" align="left">3.2 &#xb1; 2.3</td>
<td valign="middle" align="left">1.6 &#xb1; 1.6</td>
<td valign="middle" align="left">-4.599 (109.852)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"><bold>&lt;0.001</bold></td>
</tr>
<tr>
<td valign="middle" align="left">Nephrotic Syndrome (%)</td>
<td valign="middle" align="left">25.0</td>
<td valign="middle" align="left">1.5</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">15.248 (1)</td>
<td valign="middle" align="left"><bold>&lt;0.001</bold></td>
</tr>
<tr>
<td valign="middle" align="left">Hematuria (0-4)</td>
<td valign="middle" align="left">3.26 &#xb1; 1.26</td>
<td valign="middle" align="left">2.68 &#xb1; 1.62</td>
<td valign="middle" align="left">-2.237 (115.123)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"><bold>0.027</bold></td>
</tr>
<tr>
<td valign="middle" align="left">Extrarenal symptoms<sup>#</sup> (%)</td>
<td valign="middle" align="left">0.0</td>
<td valign="middle" align="left">9.9</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Crescents (% glomeruli)</td>
<td valign="middle" align="left">9.4 &#xb1; 15.0</td>
<td valign="middle" align="left">2.3 &#xb1; 8.5</td>
<td valign="middle" align="left"><bold>-</bold>3.216 (90.578)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"><bold>0.002</bold></td>
</tr>
<tr>
<td valign="middle" align="left">Presence of crescents (%)</td>
<td valign="middle" align="left">54.9</td>
<td valign="middle" align="left">21.9</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">16.616 (1)</td>
<td valign="middle" align="left"><bold>&lt;0.001</bold></td>
</tr>
<tr>
<td valign="middle" align="left">Tubular atrophy/Interstitial Fibrosis (1-3)</td>
<td valign="middle" align="left">1.74 &#xb1; 0.89</td>
<td valign="middle" align="left">1.32 &#xb1; 0.63</td>
<td valign="middle" align="left">-3.116 (114.013)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"><bold>0.002</bold></td>
</tr>
<tr>
<td valign="middle" align="left">IgA staining intensity (0-4)</td>
<td valign="middle" align="left">2.67 &#xb1; 0.72</td>
<td valign="middle" align="left">2.31 &#xb1; 0.89</td>
<td valign="middle" align="left">-2.642 (134)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"><bold>0.009</bold></td>
</tr>
<tr>
<td valign="middle" align="left">IgG staining intensity (0-4)</td>
<td valign="middle" align="left">0.75 &#xb1; 0.72</td>
<td valign="middle" align="left">0.51 &#xb1; 0.68</td>
<td valign="middle" align="left">-1.980 (132)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"><bold>0.050</bold></td>
</tr>
<tr>
<td valign="middle" align="left">C3 staining intensity (0-4)</td>
<td valign="middle" align="left">2.04 &#xb1; 0.92</td>
<td valign="middle" align="left">1.59 &#xb1; 0.93</td>
<td valign="middle" align="left">-2.327 (91)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"><bold>0.022</bold></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Values are expressed as means with standard deviation or as proportions of patients. P-values according to student&#x2019;s t-test or Chi square-test as appropriate. T(df): T statistic (degree of freedom). &#x3c7;2 (df): Pearson Chi-Square statistic (degree of freedom). <sup>*</sup>eGFR: estimated glomerular filtration rate according to Chronic Kidney Disease Epidemiology Collaboration 2009 formula. <sup>+</sup>measured from adequately collected 24h-urine collection if available or estimated from urinary protein-creatinine ratio. <sup>#</sup> not formally tested due to distribution and low number of events. P-values &#x2264; 0.05 are marked in bold.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>Predictors of remission status</title>
<p>The comparison of baseline parameters between the patient subgroups according to remission status (within one year after first treatment regimen) is shown in <xref ref-type="table" rid="T4"><bold>Table&#xa0;4</bold></xref>. At the time of first diagnosis, as expected, macrohematuria, lower systolic blood pressure, higher baseline eGFR, lower proteinuria level and less IFTA were predictors of remission. Nephrotic syndrome did not significantly affect the remission outcome. When separated according to decades, lack of therapy response occurred in a high proportion of patients before 1990, whereas this rate remained stable at roughly 30% thereafter; similarly, overall remission rates increased after 2000. However, the number of patients diagnosed before 2000 was low (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Table&#xa0;1</bold></xref> and <xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure&#xa0;1</bold></xref>).</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Group comparison according to remission status.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">Patient characteristics at baseline</th>
<th valign="middle" align="left">Remission<sup>#</sup></th>
<th valign="middle" align="left">No remission</th>
<th valign="middle" rowspan="2" align="left">T (df)</th>
<th valign="middle" rowspan="2" align="left">&#x3c7;2 (df)</th>
<th valign="middle" rowspan="2" align="left">P value</th>
</tr>
<tr>
<th valign="middle" align="left">(n = 71)</th>
<th valign="middle" align="left">(n = 55)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Age (years)</td>
<td valign="middle" align="left">53.4 &#xb1; 14.0</td>
<td valign="middle" align="left">55.0 &#xb1; 15.2</td>
<td valign="middle" align="left">0.590 (124)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.556</td>
</tr>
<tr>
<td valign="middle" align="left">Female (%)</td>
<td valign="middle" align="left">29.6</td>
<td valign="middle" align="left">20.0</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">1.500 (1)</td>
<td valign="middle" align="left">0.302</td>
</tr>
<tr>
<td valign="middle" align="left">Systolic BP (mmHg)</td>
<td valign="middle" align="left">135.3 &#xb1; 20.5</td>
<td valign="middle" align="left">145.5 &#xb1; 23.4</td>
<td valign="middle" align="left">2.387 (105)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"><bold>0.019</bold></td>
</tr>
<tr>
<td valign="middle" align="left">Diastolic BP (mmHg)</td>
<td valign="middle" align="left">82.3 &#xb1; 14.9</td>
<td valign="middle" align="left">87.5 &#xb1; 13.2</td>
<td valign="middle" align="left">1.860 (105)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.066</td>
</tr>
<tr>
<td valign="middle" align="left">eGFR* (ml/min/1.73 m<sup>2</sup>)</td>
<td valign="middle" align="left">60.6 &#xb1; 29.3</td>
<td valign="middle" align="left">40.3 &#xb1; 27.2</td>
<td valign="middle" align="left">-3.771 (113)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"><bold>&lt;0.001</bold></td>
</tr>
<tr>
<td valign="middle" align="left">Proteinuria<sup>+</sup> (g/d)</td>
<td valign="middle" align="left">2.2 &#xb1; 1.9</td>
<td valign="middle" align="left">3.2 &#xb1; 2.3</td>
<td valign="middle" align="left">2.335 (108)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"><bold>0.021</bold></td>
</tr>
<tr>
<td valign="middle" align="left">Nephrotic Syndrome (%)</td>
<td valign="middle" align="left">11.1</td>
<td valign="middle" align="left">19.5</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">1.420 (1)</td>
<td valign="middle" align="left">0.263</td>
</tr>
<tr>
<td valign="middle" align="left">Macrohematuria (%)</td>
<td valign="middle" align="left">39.1</td>
<td valign="middle" align="left">18.5</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">6.119 (1)</td>
<td valign="middle" align="left"><bold>0.017</bold></td>
</tr>
<tr>
<td valign="middle" align="left">Crescents (% glomeruli)</td>
<td valign="middle" align="left">5.9 &#xb1; 10.9</td>
<td valign="middle" align="left">6.7 &#xb1; 16.5</td>
<td valign="middle" align="left">0.304 (108)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.762</td>
</tr>
<tr>
<td valign="middle" align="left">Presence of crescents (%)</td>
<td valign="middle" align="left">42.3</td>
<td valign="middle" align="left">35.3</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.602 (1)</td>
<td valign="middle" align="left">0.459</td>
</tr>
<tr>
<td valign="middle" align="left">Tubular atrophy/Interstitial Fibrosis (1-3)</td>
<td valign="middle" align="left">1.39 &#xb1; 0.65</td>
<td valign="middle" align="left">1.83 &#xb1; 0.94</td>
<td valign="middle" align="left">2.788 (76.099)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"><bold>0.007</bold></td>
</tr>
<tr>
<td valign="middle" align="left">IgA staining intensity (0-4)</td>
<td valign="middle" align="left">2.53 &#xb1; 0.84</td>
<td valign="middle" align="left">2.51 &#xb1; 0.74</td>
<td valign="middle" align="left">- 0.114 (113)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.910</td>
</tr>
<tr>
<td valign="middle" align="left">IgG staining intensity (0-4)</td>
<td valign="middle" align="left">0.76 &#xb1; 0.71</td>
<td valign="middle" align="left">0.54 &#xb1; 0.72</td>
<td valign="middle" align="left">- 1.572 (111)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.119</td>
</tr>
<tr>
<td valign="middle" align="left">C3 staining intensity (0-4)</td>
<td valign="middle" align="left">1.78 &#xb1; 0.85</td>
<td valign="middle" align="left">2.10 &#xb1; 0.94</td>
<td valign="middle" align="left">1.511 (74)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.135</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Values are expressed as means with standard deviation or as proportions of patients. P-values according to student&#x2019;s t-test or Chi square test as appropriate. T(df): T statistic (degree of freedom). &#x3c7;2 (df): Pearson Chi-Square statistic (degree of&#xa0;&#x2009;freedom). *eGFR: estimated glomerular filtration rate according to Chronic Kidney Disease Epidemiology Collaboration 2009 formula. <sup>+</sup> measured from adequately collected 24h-urine collection if available or estimated from urinary protein-creatinine ratio. <sup>#</sup>defined as any remission occurring within one year after first treatment line. P-values &#x2264; 0.05 are marked in bold.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_6">
<label>3.6</label>
<title>Predictors of progression to end-stage kidney disease</title>
<p>Patients who progressed to ESKD were on average older and had higher blood pressure, lower eGFR and higher proteinuria level at baseline as compared to non-progressors (<xref ref-type="table" rid="T5"><bold>Table&#xa0;5</bold></xref>). In addition, patients reaching ESKD more frequently exhibited nephrotic syndrome at the time of diagnosis, while clinical remission had occurred less frequently. Overall, 13.3% of patients with proteinuria &lt;1g/d at baseline developed ESKD in this cohort. Histologically, more extensive IFTA and crescents were present at baseline in progressors.</p>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Group comparison according to progression status.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">Patient characteristics at baseline and remission status</th>
<th valign="middle" align="left">ESKD</th>
<th valign="middle" align="left">No ESKD</th>
<th valign="middle" rowspan="2" align="left">t (df)</th>
<th valign="middle" rowspan="2" align="left">&#x3c7;<sup>2</sup> (df)</th>
<th valign="middle" rowspan="2" align="left">P value</th>
</tr>
<tr>
<th valign="middle" align="left">(N = 68)</th>
<th valign="middle" align="left">(N = 90)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Age (years)</td>
<td valign="middle" align="left">57.2 &#xb1; 13.5</td>
<td valign="middle" align="left">50.7 &#xb1; 15.2</td>
<td valign="middle" align="left">- 2.790 (156)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"><bold>0.006</bold></td>
</tr>
<tr>
<td valign="middle" align="left">Female (%)</td>
<td valign="middle" align="left">22.1</td>
<td valign="middle" align="left">30.0</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">1.252 (1)</td>
<td valign="middle" align="left">0.281</td>
</tr>
<tr>
<td valign="middle" align="left">Systolic BP (mmHg)</td>
<td valign="middle" align="left">146.0 &#xb1; 26.4</td>
<td valign="middle" align="left">134.5 &#xb1; 18.4</td>
<td valign="middle" align="left">- 2.519 (61.260)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"><bold>0.014</bold></td>
</tr>
<tr>
<td valign="middle" align="left">Diastolic BP (mmHg)</td>
<td valign="middle" align="left">89.0 &#xb1; 14.3</td>
<td valign="middle" align="left">81.6 &#xb1; 13.6</td>
<td valign="middle" align="left">- 2.824 (125)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"><bold>0.006</bold></td>
</tr>
<tr>
<td valign="middle" align="left">eGFR* (ml/min/1.73 m<sup>2</sup>)</td>
<td valign="middle" align="left">41.1 &#xb1; 28.8</td>
<td valign="middle" align="left">64.2 &#xb1; 28.5</td>
<td valign="middle" align="left">4.535 (134)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"><bold>&lt;0.001</bold></td>
</tr>
<tr>
<td valign="middle" align="left">Proteinuria<sup>+</sup> (g/d)</td>
<td valign="middle" align="left">3.4 &#xb1; 2.0</td>
<td valign="middle" align="left">1.8 &#xb1; 1.9</td>
<td valign="middle" align="left">- 4.553 (127)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"><bold>&lt;0.001</bold></td>
</tr>
<tr>
<td valign="middle" align="left">Nephrotic syndrome (%)</td>
<td valign="middle" align="left">20.9</td>
<td valign="middle" align="left">7.5</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">4.711 (1)</td>
<td valign="middle" align="left"><bold>0.042</bold></td>
</tr>
<tr>
<td valign="middle" align="left">Crescents (% glomeruli)</td>
<td valign="middle" align="left">8.8 &#xb1; 16.9</td>
<td valign="middle" align="left">3.7 &#xb1; 8.8</td>
<td valign="middle" align="left">- 1.874 (56.254)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.066</td>
</tr>
<tr>
<td valign="middle" align="left">Presence of crescents (% patients)</td>
<td valign="middle" align="left">52.5</td>
<td valign="middle" align="left">28.9</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">8.538 (1)</td>
<td valign="middle" align="left"><bold>0.004</bold></td>
</tr>
<tr>
<td valign="middle" align="left">Tubular atrophy/Interstitial Fibrosis (1 &#x2013; 3)</td>
<td valign="middle" align="left">1.88 &#xb1; 0.916</td>
<td valign="middle" align="left">1.26 &#xb1; 0.560</td>
<td valign="middle" align="left">-4.511 (82.136)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"><bold>&lt;0.001</bold></td>
</tr>
<tr>
<td valign="middle" align="left">IgA staining intensity (0-4)</td>
<td valign="middle" align="left">2.55 &#xb1; 0.81</td>
<td valign="middle" align="left">2.43 &#xb1; 0.84</td>
<td valign="middle" align="left">- 0.838 (138)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.403</td>
</tr>
<tr>
<td valign="middle" align="left">IgG staining intensity (0-4)</td>
<td valign="middle" align="left">0.64 &#xb1; 0.68</td>
<td valign="middle" align="left">0.59 &#xb1; 0.72</td>
<td valign="middle" align="left">- 0.440 (137)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.660</td>
</tr>
<tr>
<td valign="middle" align="left">C3 staining intensity (0-4)</td>
<td valign="middle" align="left">1.95 &#xb1; 1.12</td>
<td valign="middle" align="left">1.72 &#xb1; 0.83</td>
<td valign="middle" align="left">- 1.061 (48.342)</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.294</td>
</tr>
<tr>
<td valign="middle" align="left">Overall remission<sup>#</sup> (%)</td>
<td valign="middle" align="left">34.0</td>
<td valign="middle" align="left">78.1</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">24.809 (1)</td>
<td valign="middle" align="left"><bold>&lt;0.001</bold></td>
</tr>
<tr>
<td valign="middle" align="left">Partial remission<sup>++</sup> (%)</td>
<td valign="middle" align="left">23.9</td>
<td valign="middle" align="left">38.5</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left">1.702 (1)</td>
<td valign="middle" align="left">0.280</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Values are expressed as means with standard deviation or as proportions of patients. P-values according to student&#x2019;s t-test or chi square test as appropriate. T(df): T statistic (degree of freedom). &#x3c7;<sup>2</sup> (df): Pearson Chi-Square statistic (degree of freedom). ESKD: End stage kidney disease. *eGFR: estimated glomerular filtration rate according to Chronic Kidney Disease Epidemiology Collaboration 2009 formula. <sup>+</sup>measured from adequately collected 24h-urine collection if available or estimated from urinary protein-creatinine ratio. <sup>#</sup>defined as best therapeutic response at any time during follow-up including partial and complete remission. <sup>++</sup>defined as best therapeutic response occurring at any time during follow-up. P-values &#x2264; 0.05 are marked in bold.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>The goal of this study was to perform a detailed review of all patients with IgA nephropathy treated at our Swiss tertiary center focusing on disease characteristics, treatment practices and outcome as well as to evaluate potential predictors of therapeutic choices and patient outcome. The main findings were the following: i) a large spectrum of age-dependent clinical manifestations, ii) use of immunosuppressive therapy, particularly non-steroid immunosuppressive therapy, in an important part of patients, and iii) progression to ESKD in a comparatively high proportion of patients.</p>
<p>First, in this patient cohort of mainly European ancestry exhibiting an expected sex distribution, a wide range of clinical presentations was noted including isolated urine abnormalities, nephrotic syndrome, chronic kidney function impairment and AKI as previously reported (<xref ref-type="bibr" rid="B5">5</xref>). However, chronic kidney function impairment was by far the most common clinical presentation. This may be due to the older patient age and the advanced stage of disease at diagnosis (i.e. higher proportion of patients with moderate to severe IFTA) as compared to other cohorts (<xref ref-type="bibr" rid="B23">23</xref>). Indeed, in this cohort, disease presentation varied considerably according to age. As expected, presentation with macrohematuria as sole disease manifestation was more frequent in younger adults decreasing in frequency with age. In addition, in this cohort, younger adults more often presented with asymptomatic urine abnormalities. Isolated microhematuria was not noted since it usually does not represent an indication for kidney biopsy in Switzerland. Interestingly, in this cohort, the frequency of extrarenal symptoms pointing to a diagnosis of Henoch-Sch&#xf6;nlein purpura was not significantly different among different age groups whereas a usually higher frequency is described in younger patients (<xref ref-type="bibr" rid="B25">25</xref>). However, this might be explained by the exclusion of children from this cohort and more frequent secondary etiologies in adults including drugs, infection and cancer becoming more prevalent with age. Lastly, in this cohort, nephrotic syndrome classically described as an uncommon clinical presentation in IgA nephropathy, was noted at baseline in roughly 10% of patients and more frequently so in women. This is in contrast to data from Chinese patients with IgA nephropathy indicating more severe clinical presentation including proteinuria level in male patients (<xref ref-type="bibr" rid="B26">26</xref>). The reasons for this discrepancy are not clear. Although spontaneous remissions have been described in the setting of nephrotic syndrome in IgA nephropathy and to be more frequent in female patients according to a Korean study, in our cohort, the presence of nephrotic syndrome was more often observed among&#xa0;patients subsequently treated with immunosuppressive therapy (<xref ref-type="bibr" rid="B27">27</xref>).</p>
<p>Second, almost half of the included patients had received immunosuppressive treatment for IgA nephropathy. In comparison, 19-25% of patients had received immunosuppressive treatment in the German CKD cohort and a Chinese glomerulonephritis registry (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B29">29</xref>). Although this proportion might therefore appear high, a comparable proportion of patients had received immunosuppressive therapy in the VALIGA cohort. This might be explained by the major contribution of Italian centers to the last-mentioned cohort with traditional comparatively higher use of immunosuppressive therapy in the treatment of IgA nephropathy (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B23">23</xref>). Furthermore, however, more than half of the patients in our cohort had received a non-steroid-based immunosuppressive regimen, which corresponds to a clearly higher proportion of patients than in the VALIGA cohort (<xref ref-type="bibr" rid="B23">23</xref>). Among the employed therapies, cyclophosphamide and azathioprine were the most common. As expected, higher proteinuria represented a major predictive factor for the decision to use immunosuppressive therapy in these patients. Additionally however, 28.9% of the patients with proteinuria &lt;1g/d at presentation had received immunosuppression for the treatment of IgA nephropathy. It can be speculated that the more severe presentation at baseline in our cohort including higher proteinuria levels might have favored the use of immunosuppressive therapies although there were no prevailing internal pre-specified treatment criteria. In addition, as referral center, therapy-refractory disease or patients pre-treated with non-immunosuppressive and steroid-based regimens may have been disproportionally represented. The frequent use of azathioprine might also be explained by the participation in an international randomized-controlled trial investigating the effect of azathioprine in the treatment of IgA nephropathy (<xref ref-type="bibr" rid="B30">30</xref>). Lastly, the large majority of patients in this cohort (85.4%) had been diagnosed before publication of the Stop-IgAN trial results (<xref ref-type="bibr" rid="B16">16</xref>). The coverage by RAAS inhibitor treatment in our cohort was large and comparable to other cohorts taking into account the small proportion of patients treated before the advent of this drug class.</p>
<p>Third, a high rate of progression was noted in our cohort, with over half of the patients reaching ESKD within 7 years of follow-up, 43% of the patients during a mean follow-up time of 8.3 years. In contrast, 18.8% of patients in the European VALIGA cohort progressed to ESKD during a median follow-up time of 7 years, 12.6% of patients in the German CKD cohort over 6.5 years, while 34% in a Norwegian cohort reached a combined end-point of ESKD or death within 8 years (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B32">32</xref>). Based on the French REIN registry, IgA nephropathy represented roughly 7% of patients among newly diagnosed ESKD in recent years although analysis of progression rates were not aim of the study (<xref ref-type="bibr" rid="B33">33</xref>). Similarly, lower rates of progression are reported among patient cohorts of non-European ancestry (<xref ref-type="bibr" rid="B29">29</xref>). This finding might be explained by the rather advanced presentation at baseline in our cohort including lower eGFR, higher proteinuria, higher blood pressure and greater extent of chronic interstitial lesions on kidney biopsy (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B32">32</xref>). Indeed, in our cohort, lower eGFR and higher proteinuria at presentation were confirmed as predictors of progression to ESKD. In line with this hypothesis, a similarly poor outcome has been reported recently in a UK cohort of patients with comparably severe clinical presentation (<xref ref-type="bibr" rid="B34">34</xref>). In addition, the comparatively older age of patients in our cohort might have contributed to worse outcomes (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B32">32</xref>). Finally, the inclusion of patients treated at a tertiary clinical center might have led to selection of more severe cases. Indeed, the clinical presentation with macroscopic hematuria in our cohort was much less frequent than described previously (<xref ref-type="bibr" rid="B5">5</xref>). It is further important to note that 13.3% of patients presenting with proteinuria &lt;1g/d in this cohort progressed to ESKD during follow-up extending recent findings from the UK RaDaR cohort correlating time-averaged proteinuria to development of ESKD (<xref ref-type="bibr" rid="B34">34</xref>).</p>
<p>Interestingly, the degree of chronic changes on the initial kidney biopsy (i.e. IFTA) did not predict utilization of immunosuppressive therapy in this cohort. In contrast, an opposite trend was found with patients receiving an immunosuppressive treatment having higher degrees of IFTA at baseline. The reasons for this finding are unclear. The degree of IFTA did not represent an exclusion criterion in the randomized-controlled trial evaluating azathioprine mentioned above (<xref ref-type="bibr" rid="B30">30</xref>). However, no difference was observed regarding IFTA severity in patients treated with azathioprine and the rest of the cohort. Other factors identified as predictors of the use of immunosuppression in patients with IgA nephropathy in our study such as proteinuria level, nephrotic syndrome and the presence of crescents mirror the findings of a recent survey (<xref ref-type="bibr" rid="B21">21</xref>).</p>
<p>Limitations of this analysis have to be considered. Firstly, the retrospective design precludes reconstruction of therapy choices although significant differences among treatment groups in this cohort point to factors influencing therapeutic decisions. Secondly, analysis from a single center cohort in a tertiary center may have led to selection bias and reduced generalizability. Thirdly and similarly, in this patient cohort of mainly European ancestry, results have to be interpreted within this context. Fourthly, since the historical eponym Berger&#x2019;s disease has not been included in the search strategy, very few patients with IgA nephropathy might have been missed in the analysis. However, the exclusive use of this eponym after 2008 without mention of IgA deposits in the histological description seems unlikely. Fifthly, in this analysis, univariate analysis of predictors has been performed, while data of all performed comparisons are shown. Sixthly, our patient cohort is of limited sample size. However, despite this, significant predictors of therapy and outcome could be identified. Lastly, due to the majority of patients having been diagnosed before the introduction of the Oxford classification, MEST scores were available only for a minority of patients.</p>
<p>In conclusion, at the dawn of a new therapeutic era for patients with IgA nephropathy (<xref ref-type="bibr" rid="B35">35</xref>), this retrospective cohort analysis from 1980&#x2013;2016 gives detailed insight into clinical and histological characteristics and outcome of patients with IgA nephropathy from a Swiss tertiary center as well as treatment practices and potential predictors of outcome and therapy.</p>
</sec>
</body>
<back>
<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="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by the Ethics committee of the Canton of Bern, Switzerland. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation was not required from the participants or the participants&#x2019; legal guardians/next of kin in accordance with the national legislation and institutional requirements.</p></sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>DT: Formal analysis, Writing &#x2013; review &amp; editing, Software, Writing &#x2013; original draft, Data curation, Investigation, Visualization. BV: Validation, Writing &#x2013; review &amp; editing. L-YM: Validation, Methodology, Writing &#x2013; review &amp; editing, Formal analysis, Supervision, Project administration, Data curation, Investigation, Software, Writing &#x2013; original draft, Conceptualization, Visualization.</p></sec>
<ack>
<title>Acknowledgments</title>
<p>Parts of the content of this manuscript have been presented at national and international conferences as well as in a medical master thesis (<xref ref-type="bibr" rid="B36">36</xref>). The content of the manuscript has previously appeared online in a preprint (<xref ref-type="bibr" rid="B37">37</xref>).</p>
</ack>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declared that this work 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="s10" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p></sec>
<sec id="s11" 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="s12" 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/fneph.2026.1648950/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fneph.2026.1648950/full#supplementary-material</ext-link>.</p>
<supplementary-material xlink:href="DataSheet1.pdf" id="SM1" mimetype="application/pdf"/>
<supplementary-material xlink:href="Image1.tif" id="SF1" mimetype="image/tiff"/></sec>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Wyatt</surname> <given-names>RJ</given-names></name>
<name><surname>Julian</surname> <given-names>BA</given-names></name>
</person-group>. 
<article-title>IgA nephropathy</article-title>. <source>N Engl J Med</source>. (<year>2013</year>) <volume>368</volume>:<page-range>2402&#x2013;14</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1056/NEJMra1206793</pub-id>, PMID: <pub-id pub-id-type="pmid">23782179</pub-id>
</mixed-citation>
</ref>
<ref id="B2">
<label>2</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>McGrogan</surname> <given-names>A</given-names></name>
<name><surname>Franssen</surname> <given-names>CF</given-names></name>
<name><surname>de Vries</surname> <given-names>CS</given-names></name>
</person-group>. 
<article-title>The incidence of primary glomerulonephritis worldwide: a systematic review of the literature</article-title>. <source>Nephrol Dial Transplant</source>. (<year>2011</year>) <volume>26</volume>:<page-range>414&#x2013;30</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/ndt/gfq665</pub-id>, PMID: <pub-id pub-id-type="pmid">21068142</pub-id>
</mixed-citation>
</ref>
<ref id="B3">
<label>3</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Berger</surname> <given-names>J</given-names></name>
<name><surname>Hinglais</surname> <given-names>N</given-names></name>
</person-group>. 
<article-title>Intercapillary deposits of igA-igG</article-title>. <source>J Urol Nephrol (Paris)</source>. (<year>1968</year>) <volume>74</volume>:<page-range>694&#x2013;5</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1681/ASN.V11101957</pub-id>, PMID: <pub-id pub-id-type="pmid">11183129</pub-id>
</mixed-citation>
</ref>
<ref id="B4">
<label>4</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Wakai</surname> <given-names>K</given-names></name>
<name><surname>Kawamura</surname> <given-names>T</given-names></name>
<name><surname>Endoh</surname> <given-names>M</given-names></name>
<name><surname>Kojima</surname> <given-names>M</given-names></name>
<name><surname>Tomino</surname> <given-names>Y</given-names></name>
<name><surname>Tamakoshi</surname> <given-names>A</given-names></name>
</person-group>. 
<article-title>A scoring system to predict renal outcome in IgA nephropathy: from a nationwide prospective study</article-title>. <source>Nephrol Dial Transplant</source>. (<year>2006</year>) <volume>21</volume>:<page-range>2800&#x2013;8</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/ndt/gfl342</pub-id>, PMID: <pub-id pub-id-type="pmid">16822793</pub-id>
</mixed-citation>
</ref>
<ref id="B5">
<label>5</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Galla</surname> <given-names>JH</given-names></name>
</person-group>. 
<article-title>IgA nephropathy</article-title>. <source>Kidney Int</source>. (<year>1995</year>) <volume>47</volume>:<page-range>377&#x2013;87</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/ki.1995.50</pub-id>, PMID: <pub-id pub-id-type="pmid">7723227</pub-id>
</mixed-citation>
</ref>
<ref id="B6">
<label>6</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Davin</surname> <given-names>JC</given-names></name>
<name><surname>Ten Berge</surname> <given-names>IJ</given-names></name>
<name><surname>Weening</surname> <given-names>JJ</given-names></name>
</person-group>. 
<article-title>What is the difference between IgA nephropathy and Henoch-Sch&#xf6;nlein purpura nephritis</article-title>? <source>Kidney Int</source>. (<year>2001</year>) <volume>59</volume>:<page-range>823&#x2013;34</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1046/j.1523-1755.2001.059003823.x</pub-id>, PMID: <pub-id pub-id-type="pmid">11231337</pub-id>
</mixed-citation>
</ref>
<ref id="B7">
<label>7</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>O&#x2019;Shaughnessy</surname> <given-names>MM</given-names></name>
<name><surname>Hogan</surname> <given-names>SL</given-names></name>
<name><surname>Thompson</surname> <given-names>BD</given-names></name>
<name><surname>Coppo</surname> <given-names>R</given-names></name>
<name><surname>Fogo</surname> <given-names>AB</given-names></name>
<name><surname>Jennette</surname> <given-names>JC</given-names></name>
</person-group>. 
<article-title>Glomerular disease frequencies by race, sex and region: results from the International Kidney Biopsy Survey</article-title>. <source>Nephrol Dial Transplant</source>. (<year>2018</year>) <volume>33</volume>:<page-range>661&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/ndt/gfx189</pub-id>, PMID: <pub-id pub-id-type="pmid">29106637</pub-id>
</mixed-citation>
</ref>
<ref id="B8">
<label>8</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Li</surname> <given-names>LS</given-names></name>
<name><surname>Liu</surname> <given-names>ZH</given-names></name>
</person-group>. 
<article-title>Epidemiologic data of renal diseases from a single unit in China: analysis based on 13, 519 renal biopsies</article-title>. <source>Kidney Int</source>. (<year>2004</year>) <volume>66</volume>:<page-range>920&#x2013;3</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/j.1523-1755.2004.00837.x</pub-id>, PMID: <pub-id pub-id-type="pmid">15327382</pub-id>
</mixed-citation>
</ref>
<ref id="B9">
<label>9</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Rodrigues</surname> <given-names>JC</given-names></name>
<name><surname>Haas</surname> <given-names>M</given-names></name>
<name><surname>Reich</surname> <given-names>HN</given-names></name>
</person-group>. 
<article-title>IgA nephropathy</article-title>. <source>Clin J Am Soc Nephrol</source>. (<year>2017</year>) <volume>12</volume>:<page-range>677&#x2013;86</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.2215/CJN.07420716</pub-id>, PMID: <pub-id pub-id-type="pmid">28159829</pub-id>
</mixed-citation>
</ref>
<ref id="B10">
<label>10</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Zhang</surname> <given-names>H</given-names></name>
<name><surname>Barratt</surname> <given-names>J</given-names></name>
</person-group>. 
<article-title>Is IgA nephropathy the same disease in different parts of the world</article-title>? <source>Semin Immunopathol</source>. (<year>2021</year>) <volume>43</volume>:<page-range>707&#x2013;15</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s00281-021-00884-7</pub-id>, PMID: <pub-id pub-id-type="pmid">34417628</pub-id>
</mixed-citation>
</ref>
<ref id="B11">
<label>11</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Suzuki</surname> <given-names>Y</given-names></name>
<name><surname>Monteiro</surname> <given-names>RC</given-names></name>
<name><surname>Coppo</surname> <given-names>R</given-names></name>
<name><surname>Suzuki</surname> <given-names>H</given-names></name>
</person-group>. 
<article-title>The phenotypic difference of IgA nephropathy and its race/gender-dependent molecular mechanisms</article-title>. <source>Kidney360</source>. (<year>2021</year>) <volume>2</volume>:<page-range>1339&#x2013;48</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.34067/KID.0002972021</pub-id>, PMID: <pub-id pub-id-type="pmid">35369654</pub-id>
</mixed-citation>
</ref>
<ref id="B12">
<label>12</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Lee</surname> <given-names>M</given-names></name>
<name><surname>Suzuki</surname> <given-names>H</given-names></name>
<name><surname>Nihei</surname> <given-names>Y</given-names></name>
<name><surname>Matsuzaki</surname> <given-names>K</given-names></name>
<name><surname>Suzuki</surname> <given-names>Y</given-names></name>
</person-group>. 
<article-title>Ethnicity and IgA nephropathy: worldwide differences in epidemiology, timing of diagnosis, clinical manifestations, management and prognosis</article-title>. <source>Clin Kidney J</source>. (<year>2023</year>) <volume>16</volume>:<page-range>ii1&#x2013;8</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/ckj/sfad199</pub-id>, PMID: <pub-id pub-id-type="pmid">38053973</pub-id>
</mixed-citation>
</ref>
<ref id="B13">
<label>13</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Mani</surname> <given-names>LY</given-names></name>
<name><surname>Huynh-Do</surname> <given-names>U</given-names></name>
<name><surname>Vogt</surname> <given-names>B</given-names></name>
<name><surname>Ackermann</surname> <given-names>D</given-names></name>
</person-group>. 
<article-title>IgA-Nephropathie und Purpura Sch&#xf6;nlein-Henoch &#x2013; ein breites Spektrum</article-title>. <source>Ther Umsch</source>. (<year>2015</year>) <volume>72</volume>:<page-range>157&#x2013;60</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1024/0040-5930/a000659</pub-id>, PMID: <pub-id pub-id-type="pmid">25722308</pub-id>
</mixed-citation>
</ref>
<ref id="B14">
<label>14</label>
<mixed-citation publication-type="book">
<person-group person-group-type="author">
<name><surname>Cheung</surname> <given-names>C</given-names></name>
<name><surname>Barratt</surname> <given-names>J</given-names></name>
</person-group>. 
<article-title>Is IgA nephropathy a single disease</article-title>? In: 
<person-group person-group-type="editor">
<name><surname>Tomino</surname> <given-names>Y</given-names></name>
</person-group>, editor. <source>Pathogenesis and treatment in IgA nephropathy</source>. 
<publisher-name>Springer</publisher-name>, <publisher-loc>Japan</publisher-loc> (<year>2015</year>). p. <fpage>3</fpage>&#x2013;<lpage>17</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/978-4-431-55588-9_1</pub-id>, PMID: <pub-id pub-id-type="pmid">41732346</pub-id>
</mixed-citation>
</ref>
<ref id="B15">
<label>15</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Suzuki</surname> <given-names>H</given-names></name>
<name><surname>Kiryluk</surname> <given-names>K</given-names></name>
<name><surname>Novak</surname> <given-names>J</given-names></name>
<name><surname>Moldoveanu</surname> <given-names>Z</given-names></name>
<name><surname>Herr</surname> <given-names>AB</given-names></name>
<name><surname>Renfrow</surname> <given-names>M</given-names></name>
<etal/>
</person-group>. 
<article-title>The pathophysiology of IgA nephropathy</article-title>. <source>J Am Soc Nephrol</source>. (<year>2011</year>) <volume>22</volume>:<page-range>1795&#x2013;803</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1681/ASN.2011050464</pub-id>, PMID: <pub-id pub-id-type="pmid">21949093</pub-id>
</mixed-citation>
</ref>
<ref id="B16">
<label>16</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Rauen</surname> <given-names>T</given-names></name>
<name><surname>Eitner</surname> <given-names>F</given-names></name>
<name><surname>Fitzner</surname> <given-names>C</given-names></name>
<name><surname>Sommerer</surname> <given-names>C</given-names></name>
<name><surname>Zeier</surname> <given-names>M</given-names></name>
<name><surname>Otte</surname> <given-names>B</given-names></name>
<etal/>
</person-group>. 
<article-title>Intensive supportive care plus immunosuppression in IgA nephropathy</article-title>. <source>N Engl J Med</source>. (<year>2015</year>) <volume>373</volume>:<page-range>2225&#x2013;36</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1056/NEJMoa1415463</pub-id>, PMID: <pub-id pub-id-type="pmid">26630142</pub-id>
</mixed-citation>
</ref>
<ref id="B17">
<label>17</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Gleeson</surname> <given-names>PJ</given-names></name>
<name><surname>O&#x2019;Shaughnessy</surname> <given-names>MM</given-names></name>
<name><surname>Barratt</surname> <given-names>J</given-names></name>
</person-group>. 
<article-title>IgA nephropathy in adults&#x2014;treatment standard</article-title>. <source>Nephrol Dial Transplant</source>. (<year>2023</year>) <volume>38</volume>:<page-range>2464&#x2013;73</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/ndt/gfad146</pub-id>, PMID: <pub-id pub-id-type="pmid">37418237</pub-id>
</mixed-citation>
</ref>
<ref id="B18">
<label>18</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Pozzi</surname> <given-names>C</given-names></name>
</person-group>. 
<article-title>Pro: STOP immunosuppression in IgA nephropathy</article-title>? <source>Nephrol Dial Transplant</source>. (<year>2016</year>) <volume>31</volume>:<page-range>1766&#x2013;70</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/ndt/gfw285</pub-id>, PMID: <pub-id pub-id-type="pmid">27515694</pub-id>
</mixed-citation>
</ref>
<ref id="B19">
<label>19</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Rauen</surname> <given-names>T</given-names></name>
<name><surname>Eitner</surname> <given-names>F</given-names></name>
<name><surname>Fitzner</surname> <given-names>C</given-names></name>
<name><surname>Floege</surname> <given-names>J</given-names></name>
</person-group>. 
<article-title>Con: STOP immunosuppression in IgA nephropathy</article-title>. <source>Nephrol Dial Transplant</source>. (<year>2016</year>) <volume>31</volume>:<page-range>1771&#x2013;4</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/ndt/gfw286</pub-id>, PMID: <pub-id pub-id-type="pmid">27515693</pub-id>
</mixed-citation>
</ref>
<ref id="B20">
<label>20</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Rovin</surname> <given-names>BH</given-names></name>
<name><surname>Adler</surname> <given-names>SG</given-names></name>
<name><surname>Barratt</surname> <given-names>J</given-names></name>
<name><surname>Bridoux</surname> <given-names>F</given-names></name>
<name><surname>Burdge</surname> <given-names>KA</given-names></name>
<name><surname>Chan</surname> <given-names>TM</given-names></name>
<etal/>
</person-group>. 
<article-title>Executive summary of the KDIGO 2021 guideline for the management of glomerular diseases</article-title>. <source>Kidney Int</source>. (<year>2021</year>) <volume>100</volume>:<page-range>753&#x2013;79</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.kint.2021.05.015</pub-id>, PMID: <pub-id pub-id-type="pmid">34556300</pub-id>
</mixed-citation>
</ref>
<ref id="B21">
<label>21</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Bansal</surname> <given-names>B</given-names></name>
<name><surname>Grewal</surname> <given-names>A</given-names></name>
<name><surname>Teo</surname> <given-names>BW</given-names></name>
<name><surname>Shima</surname> <given-names>Y</given-names></name>
<name><surname>Sundaram</surname> <given-names>M</given-names></name>
<name><surname>He</surname> <given-names>H</given-names></name>
<etal/>
</person-group>. 
<article-title>Clinical practice patterns in IgA nephropathy: a global questionnaire-based survey</article-title>. <source>Kidney Int Rep</source>. (<year>2023</year>) <volume>8</volume>:<page-range>2557&#x2013;68</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.ekir.2023.09.034</pub-id>, PMID: <pub-id pub-id-type="pmid">38106584</pub-id>
</mixed-citation>
</ref>
<ref id="B22">
<label>22</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Haas</surname> <given-names>M</given-names></name>
</person-group>. 
<article-title>Histologic subclassification of IgA nephropathy: a clinicopathologic study of 244 cases</article-title>. <source>Am J Kidney Dis</source>. (<year>1997</year>) <volume>29</volume>:<page-range>829&#x2013;42</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/s0272-6386(97)90456-x</pub-id>, PMID: <pub-id pub-id-type="pmid">9186068</pub-id>
</mixed-citation>
</ref>
<ref id="B23">
<label>23</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Coppo</surname> <given-names>R</given-names></name>
<name><surname>Troyanov</surname> <given-names>S</given-names></name>
<name><surname>Bellur</surname> <given-names>S</given-names></name>
<name><surname>Cattran</surname> <given-names>D</given-names></name>
<name><surname>Cook</surname> <given-names>HT</given-names></name>
<name><surname>Feehally</surname> <given-names>J</given-names></name>
<etal/>
</person-group>. 
<article-title>Validation of the Oxford classification of IgA nephropathy in cohorts with different presentations and treatments</article-title>. <source>Kidney Int</source>. (<year>2014</year>) <volume>86</volume>:<page-range>828&#x2013;36</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/ki.2014.63</pub-id>, PMID: <pub-id pub-id-type="pmid">24694989</pub-id>
</mixed-citation>
</ref>
<ref id="B24">
<label>24</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Kellum</surname> <given-names>JA</given-names></name>
<name><surname>Lameire</surname> <given-names>N</given-names></name>
<name><surname>Aspelin</surname> <given-names>P</given-names></name>
<name><surname>Barsoum</surname> <given-names>RS</given-names></name>
<name><surname>Burdmann</surname> <given-names>EA</given-names></name>
<name><surname>Goldstein</surname> <given-names>SL</given-names></name>
<etal/>
</person-group>. 
<article-title>Kidney disease: improving global outcomes (KDIGO) acute kidney injury work group. KDIGO clinical practice guideline for acute kidney injury</article-title>. <source>Kidney Int Suppl</source>. (<year>2012</year>) <volume>2</volume>:<fpage>1</fpage>&#x2013;<lpage>138</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/kisup.2012.1</pub-id>, PMID: <pub-id pub-id-type="pmid">41725453</pub-id>
</mixed-citation>
</ref>
<ref id="B25">
<label>25</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Selewski</surname> <given-names>DT</given-names></name>
<name><surname>Ambruzs</surname> <given-names>JM</given-names></name>
<name><surname>Appel</surname> <given-names>GB</given-names></name>
<name><surname>Bomback</surname> <given-names>AS</given-names></name>
<name><surname>Matar</surname> <given-names>RB</given-names></name>
<name><surname>Cai</surname> <given-names>Y</given-names></name>
<etal/>
</person-group>. 
<article-title>Clinical characteristics and treatment patterns of children and adults with IgA nephropathy or IgA vasculitis: findings from the CureGN study</article-title>. <source>Kidney Int Rep</source>. (<year>2018</year>) <volume>3</volume>:<page-range>1373&#x2013;84</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.ekir.2018.07.021</pub-id>, PMID: <pub-id pub-id-type="pmid">30450464</pub-id>
</mixed-citation>
</ref>
<ref id="B26">
<label>26</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Deng</surname> <given-names>W</given-names></name>
<name><surname>Tan</surname> <given-names>X</given-names></name>
<name><surname>Zhou</surname> <given-names>Q</given-names></name>
<name><surname>Ai</surname> <given-names>Z</given-names></name>
<name><surname>Liu</surname> <given-names>W</given-names></name>
<name><surname>Chen</surname> <given-names>W</given-names></name>
<etal/>
</person-group>. 
<article-title>Gender-related differences in clinicopathological characteristics and renal outcomes of Chinese patients with IgA nephropathy</article-title>. <source>BMC Nephrol</source>. (<year>2018</year>) <volume>19</volume>:<fpage>31</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/s12882-018-0829-1</pub-id>, PMID: <pub-id pub-id-type="pmid">29415664</pub-id>
</mixed-citation>
</ref>
<ref id="B27">
<label>27</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Kim</surname> <given-names>JK</given-names></name>
<name><surname>Kim</surname> <given-names>JH</given-names></name>
<name><surname>Lee</surname> <given-names>SC</given-names></name>
<name><surname>Kang</surname> <given-names>EW</given-names></name>
<name><surname>Chang</surname> <given-names>TI</given-names></name>
<name><surname>Moon</surname> <given-names>SJ</given-names></name>
<etal/>
</person-group>. 
<article-title>Clinical features and outcomes of IgA nephropathy with nephrotic syndrome</article-title>. <source>Clin J Am Soc Nephrol</source>. (<year>2012</year>) <volume>7</volume>:<page-range>427&#x2013;36</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.2215/cjn.04820511</pub-id>, PMID: <pub-id pub-id-type="pmid">22223610</pub-id>
</mixed-citation>
</ref>
<ref id="B28">
<label>28</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Stamellou</surname> <given-names>E</given-names></name>
<name><surname>Nadal</surname> <given-names>J</given-names></name>
<name><surname>Hendry</surname> <given-names>B</given-names></name>
<name><surname>Mercer</surname> <given-names>A</given-names></name>
<name><surname>Seikrit</surname> <given-names>C</given-names></name>
<name><surname>Bechtel-Walz</surname> <given-names>W</given-names></name>
<etal/>
</person-group>. 
<article-title>Long-term outcomes of patients with IgA nephropathy in the German CKD cohort</article-title>. <source>Clin Kidney J</source>. (<year>2024</year>) <volume>17</volume>:<fpage>sfad230</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/ckj/sfae230</pub-id>, PMID: <pub-id pub-id-type="pmid">39149090</pub-id>
</mixed-citation>
</ref>
<ref id="B29">
<label>29</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Le</surname> <given-names>W</given-names></name>
<name><surname>Liang</surname> <given-names>S</given-names></name>
<name><surname>Hu</surname> <given-names>Y</given-names></name>
<name><surname>Deng</surname> <given-names>K</given-names></name>
<name><surname>Bao</surname> <given-names>H</given-names></name>
<name><surname>Zeng</surname> <given-names>C</given-names></name>
<etal/>
</person-group>. 
<article-title>Long-term renal survival and related risk factors in patients with IgA nephropathy: results from a cohort of 1155 cases in a Chinese adult population</article-title>. <source>Nephrol Dial Transplant</source>. (<year>2012</year>) <volume>27</volume>:<page-range>1479&#x2013;85</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/ndt/gfr527</pub-id>, PMID: <pub-id pub-id-type="pmid">21965586</pub-id>
</mixed-citation>
</ref>
<ref id="B30">
<label>30</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Pozzi</surname> <given-names>C</given-names></name>
<name><surname>Andrulli</surname> <given-names>S</given-names></name>
<name><surname>Pani</surname> <given-names>A</given-names></name>
<name><surname>Scaini</surname> <given-names>P</given-names></name>
<name><surname>Vecchio</surname> <given-names>LD</given-names></name>
<name><surname>Fogazzi</surname> <given-names>G</given-names></name>
<etal/>
</person-group>. 
<article-title>Addition of azathioprine to corticosteroids does not benefit patients with IgA nephropathy</article-title>. <source>J Am Soc Nephrol</source>. (<year>2010</year>) <volume>21</volume>:<page-range>1783&#x2013;90</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1681/asn.2010010117</pub-id>, PMID: <pub-id pub-id-type="pmid">20634300</pub-id>
</mixed-citation>
</ref>
<ref id="B31">
<label>31</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Coppo</surname> <given-names>R</given-names></name>
<name><surname>D&#x2019;Arrigo</surname> <given-names>G</given-names></name>
<name><surname>Tripepi</surname> <given-names>G</given-names></name>
<name><surname>Russo</surname> <given-names>ML</given-names></name>
<name><surname>Roberts</surname> <given-names>ISD</given-names></name>
<name><surname>Bellur</surname> <given-names>S</given-names></name>
<etal/>
</person-group>. 
<article-title>Is there long-term value of pathology scoring in immunoglobulin A nephropathy? A validation study of the Oxford Classification for IgA Nephropathy (VALIGA) update</article-title>. <source>Nephrol Dial Transplant</source>. (<year>2018</year>) <volume>35</volume>:<page-range>1002&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/ndt/gfy302</pub-id>, PMID: <pub-id pub-id-type="pmid">30418652</pub-id>
</mixed-citation>
</ref>
<ref id="B32">
<label>32</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Rivedal</surname> <given-names>M</given-names></name>
<name><surname>Nordb&#xf8;</surname> <given-names>OP</given-names></name>
<name><surname>Haaskjold</surname> <given-names>YL</given-names></name>
<name><surname>Bj&#xf8;rneklett</surname> <given-names>R</given-names></name>
<name><surname>Knoop</surname> <given-names>T</given-names></name>
<name><surname>Eikrem</surname> <given-names>&#xd8;</given-names></name>
</person-group>. 
<article-title>Lifetime progression of IgA nephropathy: a retrospective cohort study with extended long-term follow-up</article-title>. <source>BMC Nephrol</source>. (<year>2025</year>) <volume>26</volume>:<fpage>32</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/s12882-025-03958-y</pub-id>, PMID: <pub-id pub-id-type="pmid">39833715</pub-id>
</mixed-citation>
</ref>
<ref id="B33">
<label>33</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Robert</surname> <given-names>T</given-names></name>
<name><surname>Jantzen</surname> <given-names>R</given-names></name>
<name><surname>Cambier</surname> <given-names>A</given-names></name>
<name><surname>Jamme</surname> <given-names>M</given-names></name>
<name><surname>Couchoud</surname> <given-names>C</given-names></name>
<name><surname>Brunet</surname> <given-names>P</given-names></name>
<etal/>
</person-group>. 
<article-title>Spatiotemporal trends and prognosis of end-stage renal disease patients with biopsy-proven immunoglobulin A nephropathy in France from 2010 to 2014</article-title>. <source>Clin Kidney J</source>. (<year>2020</year>) <volume>14</volume>:<fpage>898</fpage>&#x2013;<lpage>908</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/ckj/sfaa029</pub-id>, PMID: <pub-id pub-id-type="pmid">33777373</pub-id>
</mixed-citation>
</ref>
<ref id="B34">
<label>34</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Pitcher</surname> <given-names>D</given-names></name>
<name><surname>Braddon</surname> <given-names>F</given-names></name>
<name><surname>Hendry</surname> <given-names>B</given-names></name>
<name><surname>Mercer</surname> <given-names>A</given-names></name>
<name><surname>Osmaston</surname> <given-names>K</given-names></name>
<name><surname>Saleem</surname> <given-names>MA</given-names></name>
<etal/>
</person-group>. 
<article-title>Long-term outcomes in IgA nephropathy</article-title>. <source>Clin J Am Soc Nephrol</source>. (<year>2023</year>) <volume>18</volume>:<page-range>727&#x2013;38</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.2215/cjn.0000000000000135</pub-id>, PMID: <pub-id pub-id-type="pmid">37055195</pub-id>
</mixed-citation>
</ref>
<ref id="B35">
<label>35</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Tang</surname> <given-names>SCW</given-names></name>
<name><surname>Nadkarni</surname> <given-names>GN</given-names></name>
</person-group>. 
<article-title>From despair to promise: the dawn of novel treatment in IgA nephropathy</article-title>. <source>J Am Soc Nephrol</source>. (<year>2025</year>) <volume>36</volume>:<page-range>541&#x2013;3</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1681/asn.0000000551</pub-id>, PMID: <pub-id pub-id-type="pmid">39465604</pub-id>
</mixed-citation>
</ref>
<ref id="B36">
<label>36</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Taing</surname> <given-names>DT</given-names></name>
</person-group>. 
<article-title>IgA-Nephropathie - Die Berner Erfahrung - Retrospektive Analyse klinischer Daten von Patienten der Universit&#xe4;tsklinik f&#xfc;r Nephrologie und Hypertonie des Inselspitals</article-title>. <source>[master's thesis]</source>. (<year>2020</year>) <publisher-loc>Bern (BE)</publisher-loc>: 
<publisher-name>University of Bern</publisher-name>.
</mixed-citation>
</ref>
<ref id="B37">
<label>37</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Taing</surname> <given-names>DT</given-names></name>
<name><surname>Vogt</surname> <given-names>B</given-names></name>
<name><surname>Mani</surname> <given-names>LY</given-names></name>
</person-group>. 
<article-title>Characteristics and Outcome of Immunoglobulin A Nephropathy &#x2013; a Swiss single center experience</article-title>. <source>[medRxiv]</source>. (<year>2025</year>). doi:&#xa0;<pub-id pub-id-type="doi">10.1101/2025.06.04.25328997</pub-id>, PMID: <pub-id pub-id-type="pmid">41723302</pub-id>
</mixed-citation>
</ref>
</ref-list>
<fn-group>
<fn id="n1" fn-type="custom" custom-type="edited-by">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1457899">Thomas Robert</ext-link>, Hopital Saint Joseph, France</p></fn>
<fn id="n2" fn-type="custom" custom-type="reviewed-by">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/670238">Laureline Berthelot</ext-link>, INSERM U1064 Centre de Recherche en Transplantation et Immunologie, France</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1989574">Reiko Muto</ext-link>, Nagoya University, Japan</p></fn>
</fn-group>
</back>
</article>