<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.3 20070202//EN" "journalpublishing.dtd">
<article xml:lang="EN" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Med.</journal-id>
<journal-title>Frontiers in Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Med.</abbrev-journal-title>
<issn pub-type="epub">2296-858X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fmed.2022.864667</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Medicine</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>The Significance of Crescents on the Clinical Features and Outcomes of Primary Immunoglobin A Nephropathy</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Du</surname> <given-names>Yongjing</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1577830/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Chen</surname> <given-names>Shasha</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn002"><sup>&#x2020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Fengping</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Zhang</surname> <given-names>Ping</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Liu</surname> <given-names>Mijia</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1773584/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Liu</surname> <given-names>Chi</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Zhong</surname> <given-names>Xiang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Qin</surname> <given-names>Jianhua</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Li</surname> <given-names>Guisen</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1213799/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Wang</surname> <given-names>Wei</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c002"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1326202/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Nephrology, Institute of Nephrology, Sichuan Academy of Medical Sciences &#x0026; Sichuan Provincial People&#x2019;s Hospital</institution>, <addr-line>Chengdu</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Nephrology, Chengdu Second People&#x2019;s Hospital</institution>, <addr-line>Chengdu</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Nephrology, Affiliated Hospital of Southwest Medical University</institution>, <addr-line>Luzhou</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Jingyuan Xie, Shanghai Jiao Tong University, China</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Yan Ouyang, Shanghai Jiao Tong University, China; Beom Jin Lim, Yonsei University College of Medicine, South Korea</p></fn>
<corresp id="c001">&#x002A;Correspondence: Guisen Li, <email>guisenli@163.com</email></corresp>
<corresp id="c002">Wei Wang, <email>wangweisz@med.uestc.edu.cn</email></corresp>
<fn fn-type="equal" id="fn002"><p><sup>&#x2020;</sup>These authors have contributed equally to this work</p></fn>
<fn fn-type="other" id="fn004"><p>This article was submitted to Nephrology, a section of the journal Frontiers in Medicine</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>29</day>
<month>06</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>9</volume>
<elocation-id>864667</elocation-id>
<history>
<date date-type="received">
<day>28</day>
<month>01</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>09</day>
<month>06</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2022 Du, Chen, Wang, Zhang, Liu, Liu, Zhong, Qin, Li and Wang.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Du, Chen, Wang, Zhang, Liu, Liu, Zhong, Qin, Li and Wang</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>It is still controversial whether the proportion of crescents below 50% can be an independent predictive risk factor for poor prognosis in IgAN patients. We reported the significance of different proportions of crescents on the clinical features and the cut-off value of crescents in predicting the occurrence of end-stage kidney disease (ESKD) in patients with IgAN.</p>
</sec>
<sec>
<title>Methods</title>
<p>We retrospectively analyzed biopsy-proven primary IgAN patients in Sichuan Provincial People&#x2019;s Hospital from 2007 to 2019. The patients were divided into 5 groups on the basis of crescent proportion as follows: 0 (<italic>n</italic> = 647), &#x003C; 10% (<italic>n</italic> = 221), 10 to 24% (<italic>n</italic> = 272), 25 to 49% (<italic>n</italic> = 80), and &#x2265;50% (<italic>n</italic> = 22). The primary endpoint was defined as ESKD, and the secondary endpoint was the combined renal endpoint (&#x2265;50% reduction in eGFR or ESKD). A validation cohort of 346 patients were enrolled from Affiliated Hospital of Southwest Medical University. Cox regression model and Kaplan-Meier survival analysis were performed.</p>
</sec>
<sec>
<title>Results</title>
<p>A total of 1242 eligible patients with biopsy-proven IgAN were recorded in the database, compared with the non-crescent group, patients in the crescent group had lower levels of hemoglobin (Hb) and albumin (Alb), higher levels of blood urea nitrogen (BUN), 24h urinary protein and hematuria, a higher proportion of mesangial hypercellularity (M1), endocapillary hypercellularity (E1), segmental glomerulosclerosis (S1), and tubular atrophy/interstitial fibrosis (T1/T2) (<italic>p</italic> &#x003C; 0.05). A higher crescent proportion was associated with lower levels of Hb, ALB, eGFR and serum IgG (<italic>p</italic> &#x003C; 0.05), higher levels of SCr, BUN, increasing amounts of 24 h urinary protein, increasing proportion of M1 and E1, and increasing severity of interstitial inflammatory infiltration. During the median follow-up of 43 months (range 6-151), 63 individuals (7.0%) reached the primary outcome of ESKD and 99 patients (11.1%) reached the combined renal endpoint. 34(7.5%), 21 (13.3%), 24(12.2%), 14(21.5%) and 6(31.6%) patients reached the combined renal endpoint in the above five groups in crescents 0, &#x003C;10%, 10&#x223C;24%, 25&#x223C;49% and &#x2265;50%, respectively. A total of 274(62.6%) cases in the crescent group and 254 (55.7%) cases in the non-crescent group received immunosuppressive therapy. Multivariate Cox regression showed that crescents &#x2265;50% was an independent risk factor for the progression of ESKD (<italic>p</italic> = 0.003) and crescents &#x2265;25% was an independent risk factor for the combined renal endpoint(<italic>p</italic> &#x003C; 0.001). The receiver operating characteristic curve showed that IgAN patients with crescents &#x2265;43.7% had a higher risk of ESKD, even with immunosuppressants (Sensitivity = 75.7%,specificity = 89.6%,<italic>p</italic> &#x003C; 0.001). This discovery cohort and the validation cohort further confirmed that patients with crescents &#x003C;43.7% had better renal prognosis than those with crescents &#x2265;43.7% in the whole group and those with immunosuppressants (<italic>p</italic> &#x003C; 0.001).</p>
</sec>
<sec>
<title>Conclusion</title>
<p>IgAN patients with crescents had more severe clinicopathological features and poorer prognosis. Crescents &#x2265;50% was an independent risk factor for the progression of ESKD and crescents &#x2265;25% was an independent risk factor for &#x2265;50% reduction in eGFR or ESKD in treated and untreated IgAN patients. Crescents &#x2265;43.7% was an independent risk factor for ESKD in those with immunosuppressants.</p>
</sec>
</abstract>
<kwd-group>
<kwd>crescent</kwd>
<kwd>IgA nephropathy</kwd>
<kwd>clinical features</kwd>
<kwd>prognosis</kwd>
<kwd>ESKD</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="19"/>
<page-count count="11"/>
<word-count count="5882"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1">
<title>Background</title>
<p>Immunoglobin A nephropathy (IgAN) is the most common primary glomerulonephritis in the world. There is considerable heterogeneity in clinicopathological features, rate of disease progression, and prognosis of different IgAN patients. The crescent formation is a common histopathological finding, occurring in approximately 20-60% of IgAN patients. In the original Oxford classification and validation studies for IgAN, the presence or absence of cellular/fibrocellular crescents was not included and crescents also were not considered as a significant predictive and prognostic factor (<xref ref-type="bibr" rid="B1">1</xref>). But there were some limitations to these studies, in which individuals with eGFR &#x003C;30 ml/min/1.73 m<sup>2</sup> or the rapid progression to end-stage kidney disease (ESKD) were excluded. However, other studies with less restrictive inclusion criteria found a linear relationship between the proportion of crescents and the proportion of IgAN patients with composite end-point events and crescents crescentic were independently related to renal survival. Based on these findings, crescents have been added to Oxford classification, updating to the MEST-C scores (<xref ref-type="bibr" rid="B2">2</xref>). According to the revised Oxford Classification, the crescent-score was defined as C0 (no crescents), C1 (crescents in at least 1 but &#x003C; 25% of glomeruli), or C2 (crescents in at least 25% of glomeruli). There were 61% of patients with crescents &#x003C;10%, which a multicenter study reported among IgAN patients with crescents (<xref ref-type="bibr" rid="B3">3</xref>). Similarly, another study found pathological findings in IgAN patients with the initial eGFR &#x003C;30 ml/min/1.73 m<sup>2</sup> had a median crescent of 10% (<xref ref-type="bibr" rid="B4">4</xref>). At present, it is widely recognized that crescentic IgAN (crescents involving more than 50% of glomeruli) is a risk factor for the prognosis of patients with IgAN and patients should receive intensive treatment, such as steroids or other immunosuppressive according to the origin Kidney Disease: Improving Global Outcomes (KDIGO) clinical guideline released in 2012 (<xref ref-type="bibr" rid="B5">5</xref>). Nevertheless, the prognosis and treatment of patients with crescents &#x003C;50% is still uncertain (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B6">6</xref>&#x2013;<xref ref-type="bibr" rid="B14">14</xref>). The above contradictory conclusions suggest that the differences in race, research objects and the inclusion criteria may affect the predictive value of crescents in IgAN. More importantly, the cut-off value of crescents in predicting the occurrence of ESKD in patients with IgAN is also currently inconclusive.</p>
<p>Therefore, our study assessed the value of different proportions of crescents by comparing the clinicopathological features and prognosis of IgAN patients. Furthermore, we also explored the impact of immunosuppressive therapy on the prognosis of IgAN patients with crescents.</p>
</sec>
<sec id="S2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="S2.SS1">
<title>Study Design</title>
<sec id="S2.SS1.SSS1">
<title>Patients</title>
<p>This is a single-center retrospective cohort study. Our research protocol was approved by the ethics committee of Sichuan Provincial People&#x2019;s Hospital. There were 1242 biopsy-proven primary IgAN patients in Sichuan Provincial People&#x2019;s Hospital from 2007 to 2019. The inclusion criteria were biopsy-proven primary IgAN and age &#x2265;14 years old. Individuals with the number of glomeruli in renal biopsy less than 8, repeating renal biopsy, secondary IgAN caused by Henoch&#x2013;Sch&#x00F6;nlein purpura, Sjogren&#x2019;s syndrome or systemic lupus erythematosus and so on, loss of complete medical records, less than 6 months of follow-up were excluded. The end-point follow-up time was October 1, 2020. Subjects were divided into the crescent group and the non-crescent group based on the presence or absence of crescents. The crescent group was further divided into 4 subgroups based on the proportion of crescents involving glomeruli: &#x003C;10%, 10&#x223C;24%, 25&#x223C;49% and &#x2265;50%. To determine the risk factors for ESRD and test the prediction model of IgAN, we further included a validation cohort of 346 patients from Affiliated Hospital of Southwest Medical University (validation cohort; <italic>n</italic> = 346) during 2010 to 2019. The inclusion and exclusion criteria is consistent with our research.</p>
</sec>
<sec id="S2.SS1.SSS2">
<title>Clinical and Laboratory Data at Biopsy</title>
<p>We collected data on individuals&#x2019; clinicopathological characteristics at the time of renal biopsy and during follow-up, including blood pressure (BP), serum creatinine (Scr), albumin (Alb), estimated glomerular filtration rate (eGFR), 24 h urine protein, urine red blood cell counts, the medication regimen and so on.</p>
</sec>
<sec id="S2.SS1.SSS3">
<title>Renal Pathological Data at Biopsy</title>
<p>Renal biopsy samples from all patients were reviewed and scored by three experienced renal pathologists. The updated Oxford Classification (MEST-C) was used in this study (mesangial hypercellularity (M0/M1, &#x003C;or equal to &#x003E;50% of glomeruli with &#x003E;4 mesangial cells/area); endocapillary hypercellularity (E0/E1, present/absent); segmental glomerulosclerosis (S0/S1, present/absent); tubular atrophy/interstitial fibrosis (T0/T1/T2, &#x003C;25%, 25&#x2013;50%, &#x003E;50%) (<xref ref-type="bibr" rid="B1">1</xref>). A crescent was defined as extra-capillary lesions involving 25% of the glomerular circumference. The proportion of crescents (regardless of the component) was calculated according to the number of crescent affected glomeruli divided by the total number of glomeruli; cellular/fibrocellular/fibrous crescents were considered a component ratio.</p>
</sec>
<sec id="S2.SS1.SSS4">
<title>Treatment and Renal Prognosis</title>
<p>During follow-up, subjects were divided into subgroups based on whether receiving immunosuppressive therapy: the immunosuppressive treatment group and the non-immunosuppressive treatment group. The primary outcome was ESKD, and the combined event was defined as either ESKD or &#x2265;50% decline in eGFR.</p>
</sec>
</sec>
<sec id="S2.SS2">
<title>Definitions</title>
<p>Estimated glomerular filtration rate was calculated by Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI). Mean arterial pressure was calculated as 1/3 systolic blood pressure + 2/3 diastolic blood pressure. Immunosuppressive therapy was defined as the use of any immunosuppressive agent, including glucocorticoid (GC), cyclophosphamide (CTX), mycophenolate mofetil (MMF), leflunomide (LEF), cyclosporin A (CsA), tacrolimus (FK506) or hydroxychloroquine (HCQ) and so on, regardless of drug dose and duration (<xref ref-type="bibr" rid="B15">15</xref>). Renin-angiotensin-aldosterone system inhibitor (RASi) was defined as any angiotensin-converting enzyme inhibitors (ACEI) or angiotensin II receptor blockers (ARB). ESKD was defined as eGFR &#x003C;15 ml/min/1.73m2 or the initiation of renal replacement therapy or renal transplantation.</p>
</sec>
<sec id="S2.SS3">
<title>Statistical Analyses</title>
<p>SPSS 18.0 software was used for data analysis. Continuous variables that followed a normal distribution were expressed as mean &#x00B1; standard deviation and compared using the <italic>t-test</italic>. Non-parametric variables were expressed as medians (interquartile ranges) and compared using the Mann&#x2013;Whitney <italic>U</italic> test. Categorical variables were expressed as frequency (percentage) and compared using the chi-square test.</p>
<p>The cumulative survival rate was calculated by the Kaplan-Meier method. Univariate and multivariate Cox regression models were performed to analyze the prognosis of patients with different proportions of crescents by <italic>p</italic>-value [hazard ratio (HR) and 95% confidence interval (95% CI)]. The clinical and pathological factors with a <italic>p</italic>-value &#x003C;0.1 on univariate analysis were included in the multivariable model. A <italic>p</italic>-value of less than 0.05 was regarded as statistically significant. Receiver operating characteristic (ROC) was used to analyze the diagnostic efficacy of crescents to predict the prognosis of IgAN patients treated with immunosuppressive therapy. We used the area under the curve (AUC) to analyze the relationship between the proportion of crescents and the prognosis of IgAN patients treated with immunosuppressive and calculated the cut-off value of crescents in predicting the occurrence of ESKD in patients with IgAN. Cox regression model and Kaplan-Meier survival analysis were performed in the validation cohort.</p>
</sec>
</sec>
<sec id="S3" sec-type="results">
<title>Results</title>
<sec id="S3.SS1">
<title>Demographic Characteristics</title>
<p>A total of 1242 eligible patients with biopsy-proven IgA nephropathy from 2007 to 2019 in Sichuan Provincial People&#x2019;s Hospital were recorded in the database, of which 595 individuals (47.9%) had different proportions of crescents. The median crescent proportion was 12.5%. The percentage of patients with 0, &#x003C;10%, 10&#x223C;24%, 24&#x223C;49% and &#x2265;50% was 52.1% (647 cases), 17.8% (221 cases), 21.9% (272 cases), 6.4% (80 cases) and 1.8% (22 cases), respectively (<xref ref-type="supplementary-material" rid="DS1">Supplementary Figure 1</xref>). The flow chart of this study was shown in <xref ref-type="fig" rid="F1">Figure 1</xref>.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption><p>The flow chart of the enrolment of IgAN patients.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmed-09-864667-g001.tif"/>
</fig>
</sec>
<sec id="S3.SS2">
<title>Comparisons of Baseline Clinical and Laboratory Variables</title>
<p>Compared with the non-crescent group, the crescent group had lower levels of hemoglobin (Hb) (<italic>p</italic> &#x003C; 0.001) and albumin (Alb) (<italic>p</italic> &#x003C; 0.001), higher levels of blood urea nitrogen (BUN) (<italic>p</italic> = 0.021), 24 h urinary protein (<italic>p</italic> &#x003C; 0.001) and hematuria (<italic>p</italic> &#x003C; 0.001), a higher ratio of gross hematuria (<italic>p</italic> = 0.03). There was no significant difference in SCr between the two groups, but it showed an upward trend in patients in the crescent group [85.70 (61.91-21.40) &#x03BC;mol/L vs. 80.80 (59.95-115.63) &#x03BC;mol/L, <italic>p</italic> = 0.098] (<xref ref-type="supplementary-material" rid="DS1">Supplementary Table 1</xref>).</p>
<p>Pathological characteristics of IgAN patients with and without crescents were detailed in <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 2</xref>. The immunofluorescence findings showed that C3 deposition was more significant in renal tissue of patients with crescents than that without crescents; however, there was no significant difference in IgA, IgG, and IgM deposition between the two groups. The pathological manifestations of patients in the crescent group were severer, including the increase of the proportion of M1, E1, S1, T1 and T2, and the aggravation of interstitial inflammatory infiltration (<italic>p</italic> &#x003C; 0.05).</p>
<p>We further compared baseline characteristics of four subgroups of IgAN with crescents, as shown in <xref ref-type="table" rid="T1">Table 1</xref>. A higher crescent proportion was associated with lower levels of Hb, ALB, eGFR and serum IgG (<italic>p</italic> &#x003C; 0.05), higher levels of SCr, BUN and increasing amounts of 24 h urinary protein. With the increasing ratio of crescents, patients were more prone to acute kidney injury (AKI), especially in the group with crescents &#x2265;50, which was significantly higher than that in other groups.</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Baseline characteristics of IgAN patients with different proportions of crescents.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center">&#x003C;10%<break/> (<italic>n</italic> = 221)</td>
<td valign="top" align="center">10&#x223C;24%<break/> (<italic>n</italic> = 272)</td>
<td valign="top" align="center">25&#x223C;49%<break/> (<italic>n</italic> = 80)</td>
<td valign="top" align="center">&#x2265; 50%<break/> (<italic>n</italic> = 22)</td>
<td valign="top" align="center"><italic>P-value</italic></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Gender, Male/Female<xref ref-type="table-fn" rid="t1fns1"><sup>c</sup></xref></td>
<td valign="top" align="center">95/126</td>
<td valign="top" align="center">118/154</td>
<td valign="top" align="center">34/46</td>
<td valign="top" align="center">12/10</td>
<td valign="top" align="center">0.770</td>
</tr>
<tr>
<td valign="top" align="left">Age, Year<xref ref-type="table-fn" rid="t1fns1"><sup>a</sup></xref></td>
<td valign="top" align="center">33.03 &#x00B1; 11.73</td>
<td valign="top" align="center">34.97 &#x00B1; 12.58</td>
<td valign="top" align="center">36.59 &#x00B1; 14.83</td>
<td valign="top" align="center">33.86 &#x00B1; 14.48</td>
<td valign="top" align="center">0.138</td>
</tr>
<tr>
<td valign="top" align="left">MAP, mmHg<xref ref-type="table-fn" rid="t1fns1"><sup>a</sup></xref></td>
<td valign="top" align="center">94.93 &#x00B1; 11.91</td>
<td valign="top" align="center">94.88 &#x00B1; 12.64</td>
<td valign="top" align="center">95.55 &#x00B1; 12.18</td>
<td valign="top" align="center">98.86 &#x00B1; 14.18</td>
<td valign="top" align="center">0.519</td>
</tr>
<tr>
<td valign="top" align="left">Hb, g/L<xref ref-type="table-fn" rid="t1fns1"><sup>a</sup></xref></td>
<td valign="top" align="center">132.20 &#x00B1; 17.91</td>
<td valign="top" align="center">127.37 &#x00B1; 19.44</td>
<td valign="top" align="center">124.55 &#x00B1; 23.43</td>
<td valign="top" align="center">119.32 &#x00B1; 19.65</td>
<td valign="top" align="center">0.001<xref ref-type="table-fn" rid="t1fns1">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Cr, &#x03BC;mol/L</td>
<td valign="top" align="center">76.60<break/> (60.30-104.75)</td>
<td valign="top" align="center">84.50<break/> (61.00-122.98)</td>
<td valign="top" align="center">101.75<break/> (73.30-134.80)</td>
<td valign="top" align="center">154.50<break/> (91.03-261.00)</td>
<td valign="top" align="center">&#x003C;0.001<xref ref-type="table-fn" rid="t1fns1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">eGFR, ml/min/1.73m<sup>2b</sup></td>
<td valign="top" align="center">101.41<break/> (72.75-131.16)</td>
<td valign="top" align="center">88.98<break/> (58.98-124.05)</td>
<td valign="top" align="center">68.32<break/> (42.51-107.98)</td>
<td valign="top" align="center">41.53<break/> (23.34-91.28)</td>
<td valign="top" align="center">&#x003C;0.001<xref ref-type="table-fn" rid="t1fns1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">UA, &#x03BC;mol/L<xref ref-type="table-fn" rid="t1fns1"><sup>a</sup></xref></td>
<td valign="top" align="center">369.25 &#x00B1; 111.25</td>
<td valign="top" align="center">381.57 &#x00B1; 113.96</td>
<td valign="top" align="center">376.09 &#x00B1; 106.40</td>
<td valign="top" align="center">376.11 &#x00B1; 104.51</td>
<td valign="top" align="center">0.689</td>
</tr>
<tr>
<td valign="top" align="left">BUN, mmol/L<xref ref-type="table-fn" rid="t1fns1"><sup>a</sup></xref></td>
<td valign="top" align="center">5.71 &#x00B1; 2.24</td>
<td valign="top" align="center">6.57 &#x00B1; 2.99</td>
<td valign="top" align="center">7.36 &#x00B1; 3.77</td>
<td valign="top" align="center">9.05 &#x00B1; 5.68</td>
<td valign="top" align="center">&#x003C;0.001<xref ref-type="table-fn" rid="t1fns1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Alb, g/L<xref ref-type="table-fn" rid="t1fns1"><sup>b</sup></xref></td>
<td valign="top" align="center">40.75<break/> (36.53-43.90)</td>
<td valign="top" align="center">38.60<break/> (34.05-42.75)</td>
<td valign="top" align="center">34.40<break/> (27.78-40.15)</td>
<td valign="top" align="center">26.85<break/> (24.38-33.88)</td>
<td valign="top" align="center">&#x003C;0.001<xref ref-type="table-fn" rid="t1fns1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Gross hematuria, n (%)<xref ref-type="table-fn" rid="t1fns1"><sup>c</sup></xref></td>
<td valign="top" align="center">75(33.9)</td>
<td valign="top" align="center">79(29.0)</td>
<td valign="top" align="center">29(36.3)</td>
<td valign="top" align="center">8(36.4)</td>
<td valign="top" align="center">0.432</td>
</tr>
<tr>
<td valign="top" align="left">Urinary RBC, n (%)<xref ref-type="table-fn" rid="t1fns1"><sup>c</sup></xref></td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">&#x003C;0.001<xref ref-type="table-fn" rid="t1fns1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">1 +</td>
<td valign="top" align="center">36(16.3)</td>
<td valign="top" align="center">41(15.1)</td>
<td valign="top" align="center">9(11.3)</td>
<td valign="top" align="center">1(4.5)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">2 +</td>
<td valign="top" align="center">63(28.5)</td>
<td valign="top" align="center">76(27.9)</td>
<td valign="top" align="center">15(18.8)</td>
<td valign="top" align="center">5(22.7)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">3 +</td>
<td valign="top" align="center">91(41.2)</td>
<td valign="top" align="center">147(54.0)</td>
<td valign="top" align="center">53(66.3)</td>
<td valign="top" align="center">11(50.0)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">24h urinary protein, g/24h<xref ref-type="table-fn" rid="t1fns1"><sup>b</sup></xref></td>
<td valign="top" align="center">1.28<break/> (0.35-2.04)</td>
<td valign="top" align="center">1.59<break/> (1.00-3.10)</td>
<td valign="top" align="center">2.55<break/> (1.60-4.16)</td>
<td valign="top" align="center">3.59<break/> (0.64-2.32)</td>
<td valign="top" align="center">&#x003C;0.001<xref ref-type="table-fn" rid="t1fns1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Serum C3, g/L<xref ref-type="table-fn" rid="t1fns1"><sup>a</sup></xref></td>
<td valign="top" align="center">1.08 &#x00B1; 0.25</td>
<td valign="top" align="center">1.11 &#x00B1; 0.37</td>
<td valign="top" align="center">1.05 &#x00B1; 0.26</td>
<td valign="top" align="center">1.14 &#x00B1; 0.44</td>
<td valign="top" align="center">0.41</td>
</tr>
<tr>
<td valign="top" align="left">Serum C4, g/L<xref ref-type="table-fn" rid="t1fns1"><sup>a</sup></xref></td>
<td valign="top" align="center">0.27 &#x00B1; 0.09</td>
<td valign="top" align="center">0.27 &#x00B1; 0.09</td>
<td valign="top" align="center">0.28 &#x00B1; 0.11</td>
<td valign="top" align="center">0.28 &#x00B1; 0.10</td>
<td valign="top" align="center">0.795</td>
</tr>
<tr>
<td valign="top" align="left">Serum IgG, g/L<xref ref-type="table-fn" rid="t1fns1"><sup>a</sup></xref></td>
<td valign="top" align="center">10.47 &#x00B1; 3.59</td>
<td valign="top" align="center">9.79 &#x00B1; 3.55</td>
<td valign="top" align="center">9.41 &#x00B1; 5.41</td>
<td valign="top" align="center">6.14 &#x00B1; 2.55</td>
<td valign="top" align="center">&#x003C;0.001<xref ref-type="table-fn" rid="t1fns1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Serum IgA, g/L<xref ref-type="table-fn" rid="t1fns1"><sup>a</sup></xref></td>
<td valign="top" align="center">3.03 &#x00B1; 1.15</td>
<td valign="top" align="center">3.02 &#x00B1; 1.22</td>
<td valign="top" align="center">2.95 &#x00B1; 1.41</td>
<td valign="top" align="center">2.35 &#x00B1; 1.02</td>
<td valign="top" align="center">0.166</td>
</tr>
<tr>
<td valign="top" align="left">AKI, n (%)<xref ref-type="table-fn" rid="t1fns1"><sup>c</sup></xref></td>
<td valign="top" align="center">6(2.7)</td>
<td valign="top" align="center">4(1.5)</td>
<td valign="top" align="center">6(7.5)</td>
<td valign="top" align="center">6(27.3)</td>
<td valign="top" align="center">&#x003C;0.001<xref ref-type="table-fn" rid="t1fns1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">CKD, n (%)<xref ref-type="table-fn" rid="t1fns1"><sup>c</sup></xref></td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">&#x003C;0.001<xref ref-type="table-fn" rid="t1fns1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">CKD1</td>
<td valign="top" align="center">135(61.1)</td>
<td valign="top" align="center">142(52.2)</td>
<td valign="top" align="center">28(35.0)</td>
<td valign="top" align="center">5(22.7)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">CKD2</td>
<td valign="top" align="center">45(20.4)</td>
<td valign="top" align="center">54(19.9)</td>
<td valign="top" align="center">22(27.5)</td>
<td valign="top" align="center">3(13.6)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">CKD3</td>
<td valign="top" align="center">20(9.0)</td>
<td valign="top" align="center">47(17.3)</td>
<td valign="top" align="center">9(11.3)</td>
<td valign="top" align="center">4(18.2)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">CKD4</td>
<td valign="top" align="center">7(3.2)</td>
<td valign="top" align="center">17(6.3)</td>
<td valign="top" align="center">10(12.5)</td>
<td valign="top" align="center">1(4.5)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">CKD5</td>
<td valign="top" align="center">8(3.6)</td>
<td valign="top" align="center">8(2.9)</td>
<td valign="top" align="center">5(6.3)</td>
<td valign="top" align="center">3(13.6)</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t1fns1"><p><italic>MAP, mean arterial pressure; Hb, hemoglobin; Cr, creatinine; eGFR, estimated glomerular filtration rate; UA, uric acid; BUN, blood urea nitrogen; Alb, albumin; AKI, acute kidney injury; CKD, chronic kidney disease. <sup>a</sup>Normal distribution was expressed as mean &#x00B1; standard deviation and compared using the t-test. <sup>b</sup>Non-parametric variables were expressed as medians (interquartile ranges) and compared using the Mann&#x2013;Whitney U test. <sup>c</sup>Categorical variables were expressed as frequency (percentage) and compared using the chi-square test &#x002A;p &#x003C; 0.05; &#x002A;&#x002A;p &#x003C; 0.001.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
<p>There was no significant difference in the expression of IgA, IgG, IgM, and C3 in renal tissue between different proportions of crescent subgroups (<xref ref-type="table" rid="T2">Table 2</xref>). Light microscopy findings showed that a higher crescent proportion was associated with increasing proportion of M1, E1, and increasing severity of interstitial inflammatory infiltration.</p>
<table-wrap position="float" id="T2">
<label>TABLE 2</label>
<caption><p>Pathological characteristics of IgAN patients with different proportions of crescents.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center">&#x003C;10%<break/> (n = 221)</td>
<td valign="top" align="center">10&#x223C;24%<break/> (n = 272)</td>
<td valign="top" align="center">25&#x223C;49%<break/> (n = 80)</td>
<td valign="top" align="center">&#x2265;50%<break/> (n = 22)</td>
<td valign="top" align="center"><italic>P-value</italic></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">IgA, n (%)<xref ref-type="table-fn" rid="t2fns1"><sup>c</sup></xref></td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.636</td>
</tr>
<tr>
<td valign="top" align="left">1&#x223C;2 +</td>
<td valign="top" align="center">53(24.0)</td>
<td valign="top" align="center">66(24.3)</td>
<td valign="top" align="center">26(32.5)</td>
<td valign="top" align="center">7(31.8)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">3 +</td>
<td valign="top" align="center">158(71.5)</td>
<td valign="top" align="center">196(72.1)</td>
<td valign="top" align="center">50(62.5)</td>
<td valign="top" align="center">14(63.6)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">4 +</td>
<td valign="top" align="center">10(4.5)</td>
<td valign="top" align="center">10(3.7)</td>
<td valign="top" align="center">4(5.0)</td>
<td valign="top" align="center">1(4.5)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">IgG, n (%)<xref ref-type="table-fn" rid="t2fns1"><sup>c</sup></xref></td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.599</td>
</tr>
<tr>
<td valign="top" align="left">Negative</td>
<td valign="top" align="center">172(77.8)</td>
<td valign="top" align="center">224(82.4)</td>
<td valign="top" align="center">65(81.3)</td>
<td valign="top" align="center">16(72.7)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">1 +</td>
<td valign="top" align="center">41(18.6)</td>
<td valign="top" align="center">39(14.3)</td>
<td valign="top" align="center">13(16.3)</td>
<td valign="top" align="center">4(18.2)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">2&#x223C;3 +</td>
<td valign="top" align="center">8(3.6)</td>
<td valign="top" align="center">9(3.3)</td>
<td valign="top" align="center">2(2.5)</td>
<td valign="top" align="center">2(9.1)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">IgM, n (%)<xref ref-type="table-fn" rid="t2fns1"><sup>c</sup></xref></td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.785</td>
</tr>
<tr>
<td valign="top" align="left">Negative</td>
<td valign="top" align="center">53(24.0)</td>
<td valign="top" align="center">59(21.7)</td>
<td valign="top" align="center">17(21.3)</td>
<td valign="top" align="center">6(27.3)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">1 +</td>
<td valign="top" align="center">125(56.6)</td>
<td valign="top" align="center">157(57.7)</td>
<td valign="top" align="center">41(51.3)</td>
<td valign="top" align="center">11(50.0)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">2&#x223C;3 +</td>
<td valign="top" align="center">43(19.5)</td>
<td valign="top" align="center">56(20.6)</td>
<td valign="top" align="center">22(27.5)</td>
<td valign="top" align="center">5(22.7)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">C3, n (%)<xref ref-type="table-fn" rid="t2fns1"><sup>c</sup></xref></td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.888</td>
</tr>
<tr>
<td valign="top" align="left">Negative &#x223C;1 +</td>
<td valign="top" align="center">49(22.2)</td>
<td valign="top" align="center">56(20.6)</td>
<td valign="top" align="center">20(25.0)</td>
<td valign="top" align="center">4(18.2)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">2 +</td>
<td valign="top" align="center">114(51.6)</td>
<td valign="top" align="center">138(50.7)</td>
<td valign="top" align="center">36(45.0)</td>
<td valign="top" align="center">10(45.5)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">3&#x223C;4 +</td>
<td valign="top" align="center">58(26.2)</td>
<td valign="top" align="center">78(28.7)</td>
<td valign="top" align="center">24(30.0)</td>
<td valign="top" align="center">8(36.4)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">M1, n (%)<xref ref-type="table-fn" rid="t2fns1"><sup>c</sup></xref></td>
<td valign="top" align="center">85(38.5)</td>
<td valign="top" align="center">134(49.3)</td>
<td valign="top" align="center">56(70.0)</td>
<td valign="top" align="center">16(72.7)</td>
<td valign="top" align="center">&#x003C;0.001<xref ref-type="table-fn" rid="t2fns1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">E1, n (%)<xref ref-type="table-fn" rid="t2fns1"><sup>c</sup></xref></td>
<td valign="top" align="center">50(22.6)</td>
<td valign="top" align="center">96(35.3)</td>
<td valign="top" align="center">35(43.8)</td>
<td valign="top" align="center">9(40.9)</td>
<td valign="top" align="center">0.001<xref ref-type="table-fn" rid="t2fns1">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">S1, n (%)<xref ref-type="table-fn" rid="t2fns1"><sup>c</sup></xref></td>
<td valign="top" align="center">123(55.7)</td>
<td valign="top" align="center">151(55.5)</td>
<td valign="top" align="center">42(52.5)</td>
<td valign="top" align="center">8(36.4)</td>
<td valign="top" align="center">0.358</td>
</tr>
<tr>
<td valign="top" align="left">T1, n (%)<xref ref-type="table-fn" rid="t2fns1"><sup>c</sup></xref></td>
<td valign="top" align="center">20(9.0)</td>
<td valign="top" align="center">24(8.8)</td>
<td valign="top" align="center">8(10.0)</td>
<td valign="top" align="center">5(22.7)</td>
<td valign="top" align="center">0.225</td>
</tr>
<tr>
<td valign="top" align="left">T2, n (%)<xref ref-type="table-fn" rid="t2fns1"><sup>c</sup></xref></td>
<td valign="top" align="center">6(2.7)</td>
<td valign="top" align="center">17(6.3)</td>
<td valign="top" align="center">5(6.3)</td>
<td valign="top" align="center">2(9.1)</td>
<td valign="top" align="center">0.137</td>
</tr>
<tr>
<td valign="top" align="left">Global glomerulosclerosis,%<xref ref-type="table-fn" rid="t2fns1"><sup>b</sup></xref></td>
<td valign="top" align="center">0(0-11.11)</td>
<td valign="top" align="center">0(0-13.13)</td>
<td valign="top" align="center">0(0-13.84)</td>
<td valign="top" align="center">0(0-8.04)</td>
<td valign="top" align="center">0.849</td>
</tr>
<tr>
<td valign="top" align="left">Interstitial inflammation, <italic>n</italic> (%)<xref ref-type="table-fn" rid="t2fns1"><sup>c</sup></xref></td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.004<xref ref-type="table-fn" rid="t2fns1">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Negative</td>
<td valign="top" align="center">59(26.7)</td>
<td valign="top" align="center">53(19.5)</td>
<td valign="top" align="center">24(30.0)</td>
<td valign="top" align="center">4(18.2)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Mild</td>
<td valign="top" align="center">141(63.8)</td>
<td valign="top" align="center">190(69.9)</td>
<td valign="top" align="center">50(62.5)</td>
<td valign="top" align="center">10(45.5)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Moderate</td>
<td valign="top" align="center">14(6.3)</td>
<td valign="top" align="center">12(4.4)</td>
<td valign="top" align="center">3(3.8)</td>
<td valign="top" align="center">4(18.2)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Severe</td>
<td valign="top" align="center">7(3.2)</td>
<td valign="top" align="center">17(6.3)</td>
<td valign="top" align="center">3(3.8)</td>
<td valign="top" align="center">4(18.2)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Cellular crescent, <italic>n</italic> (%)<xref ref-type="table-fn" rid="t2fns1"><sup>c</sup></xref></td>
<td valign="top" align="center">0(0-50.0)</td>
<td valign="top" align="center">0(0-50.0)</td>
<td valign="top" align="center">25.0(0-97.5)</td>
<td valign="top" align="center">26.8(0-84.7)</td>
<td valign="top" align="center">0.004<xref ref-type="table-fn" rid="t2fns1">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Fibrous crescent,%<xref ref-type="table-fn" rid="t2fns1"><sup>b</sup></xref></td>
<td valign="top" align="center">0(0-100.0)</td>
<td valign="top" align="center">25.0(0-66.7)</td>
<td valign="top" align="center">25.0(0-50.0)</td>
<td valign="top" align="center">5.0(0-52.1)</td>
<td valign="top" align="center">0.604</td>
</tr>
<tr>
<td valign="top" align="left">Fibro-cellular crescent,%<xref ref-type="table-fn" rid="t2fns1"><sup>b</sup></xref></td>
<td valign="top" align="center">0(0-100.0)</td>
<td valign="top" align="center">25.0(0-66.7)</td>
<td valign="top" align="center">25.0(0-50.0)</td>
<td valign="top" align="center">21.1(0-53.6)</td>
<td valign="top" align="center">0.503</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>The results of IgA, IgG, IgM, and C3 were manifestations of immunofluorescence. Cellular/fibrous/fibrocellular crescents were calculated according to the relative ratio.</italic></p></fn>
<fn id="t2fns1"><p><italic><sup>b</sup>Non-parametric variables were expressed as medians (interquartile ranges) and compared using the Mann&#x2013;Whitney U test. <sup>c</sup>Categorical variables were expressed as frequency (percentage) and compared using the chi-square test &#x002A;p &#x003C; 0.05; &#x002A;&#x002A;p &#x003C; 0.001.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3.SS3">
<title>Immunosuppressive and/or Renin-Angiotensin-Aldosterone System Inhibitor Therapy</title>
<p>A total of 894 cases were included in the following study, among which, there were 254 of 456 cases (55.7%) treated with immunosuppressive therapy in the non-crescent group and 274 of 438 cases (62.6%) received immunosuppressive therapy in the crescent group. With the increasing ratio of crescents, the proportion of patients who received immunosuppressive therapy also increased (<italic>p</italic> &#x003C; 0.001). In this cohort, we found no significant difference in the proportion of individuals treated with RASi among the groups (<xref ref-type="table" rid="T3">Table 3</xref>).</p>
<table-wrap position="float" id="T3">
<label>TABLE 3</label>
<caption><p>During follow-up patients with or without immunosuppression and RASi.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center" colspan="4">Crescent group<break/> (<italic>n</italic> = 438)</td>
<td valign="top" align="center">Non-crescent group<break/> (<italic>n</italic> = 456)</td>
<td valign="top" align="center"><italic>P-value</italic></td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center" colspan="4"><hr/></td>
</tr>
<tr>
<td/>
<td valign="top" align="center">&#x003C;10%<break/> (<italic>n</italic> = 158)</td>
<td valign="top" align="center">10&#x223C;24%<break/> (<italic>n</italic> = 196)</td>
<td valign="top" align="center">25&#x223C;49%<break/> (<italic>n</italic> = 65)</td>
<td valign="top" align="center">&#x2265; 50%<break/> (<italic>n</italic> = 19)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Receiving Immunosuppression, n (%)<xref ref-type="table-fn" rid="t3fns1"><sup>c</sup></xref></td>
<td valign="top" align="center">80<break/> (50.6)</td>
<td valign="top" align="center">122<break/> (62.2)</td>
<td valign="top" align="center">53<break/> (81.5)</td>
<td valign="top" align="center">19<break/> (100)</td>
<td valign="top" align="center">254<break/> (55.7)</td>
<td valign="top" align="center">&#x003C;0.001<xref ref-type="table-fn" rid="t3fns2">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Receiving RASi, n (%)<xref ref-type="table-fn" rid="t3fns1"><sup>c</sup></xref></td>
<td valign="top" align="center">137<break/> (86.7)</td>
<td valign="top" align="center">166<break/> (84.7)</td>
<td valign="top" align="center">56<break/> (86.2)</td>
<td valign="top" align="center">13<break/> (68.4)</td>
<td valign="top" align="center">391(85.7)</td>
<td valign="top" align="center">0.354</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t3fns1"><p><italic>RASi, renin-angiotensin-aldosterone system inhibitor. <sup>c</sup>Categorical variables were expressed as frequency (percentage) and compared using the chi-square test.</italic></p></fn>
<fn id="t3fns2"><p><italic>&#x002A;&#x002A;&#x002A;p &#x003C; 0.001.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3.SS4">
<title>Prognosis</title>
<p>After an average follow-up of 43 months (range 6-151 months), 99 patients (11.1%) reached the combined renal endpoint, of which 63 patients (7.0%) experienced ESKD, 36 patients (4.0%) experienced a &#x2265;50% reduction in eGFR. 21 (13.3%) cases with crescents &#x003C;10%, 24 (12.2%) cases with crescents 10&#x223C;24%, 14 (21.5%) cases with crescents 25&#x223C;49% and 6 (31.6%) cases with crescents &#x2265;50% reached combined end point, respectively. In the non-crescent group, 34 (7.5%) cases reached the combined renal endpoint.</p>
<p>In the discovery cohort, we used univariate Cox regression to analyze the factors affecting renal outcomes in IgAN patients (<xref ref-type="supplementary-material" rid="DS1">Supplementary Table 3</xref>). The results showed that age, SCr, UA, BUN, 24 h urinary protein, serum IgA, M1, S1, T1, T2, global glomerulosclerosis, crescents and interstitial inflammatory infiltration were related to the development of combined renal endpoint. The above factors were analyzed by multivariate analysis through COX proportional hazard regression model (<xref ref-type="table" rid="T4">Table 4</xref>). The results showed that MAP, SCr, 24 h urinary protein, serum IgA, T1, T2, crescents &#x2265;50% and global glomerulosclerosis were independent risk factors for ESKD and composite renal outcomes in IgAN patients. We also compared combined events in treated versus untreated individuals using multivariate analysis through COX proportional hazard regression model (<xref ref-type="table" rid="T5">Table 5</xref>). The results showed that crescent &#x2265;25% was an independent risk factor for combined renal outcomes in IgAN patients with immunosuppressive therapy and any proportion of crescents was an independent risk factor for poor prognosis in IgAN patients. Kaplan Meier survival curve was used to analyze the effect of immunosuppressive therapy on the renal survival rate of IgAN patients with or without crescents (<xref ref-type="fig" rid="F2">Figure 2</xref>). The results showed that, for patients treated with immunosuppressive therapy, the 5-year renal survival rate was 86.2% in the crescent group. For patients without immunosuppressive therapy, there were 84.5 and 92.2% individuals in the crescent group and non-crescent group, respectively. There was no significant difference in renal survival among the three groups. However, for patients without immunosuppressive therapy, the 100-month renal survival rate in the non-crescent group was higher than that in the crescent group [59.2 <italic>vs</italic>. 75.8%, <italic>p</italic> &#x003C; 0.05].</p>
<table-wrap position="float" id="T4">
<label>TABLE 4</label>
<caption><p>Multivariate analysis of clinical and pathological factors for the combined events.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Parameters</td>
<td valign="top" align="center" colspan="3">ESKD</td>
<td valign="top" align="center" colspan="3">Combined events</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center" colspan="3"><hr/></td>
<td valign="top" align="center" colspan="3"><hr/></td>
</tr>
<tr>
<td/>
<td valign="top" align="center">HR</td>
<td valign="top" align="center">95%CI</td>
<td valign="top" align="center"><italic>p</italic> Value</td>
<td valign="top" align="center">HR</td>
<td valign="top" align="center">95%CI</td>
<td valign="top" align="center"><italic>P-value</italic></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">MAP</td>
<td valign="top" align="center">1.019</td>
<td valign="top" align="center">1.002-1.036</td>
<td valign="top" align="center">0.026<xref ref-type="table-fn" rid="t4fns1">&#x002A;</xref></td>
<td valign="top" align="center">1.020</td>
<td valign="top" align="center">1.003-1.037</td>
<td valign="top" align="center">0.021<xref ref-type="table-fn" rid="t4fns1">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Cr, &#x03BC;mol/L</td>
<td valign="top" align="center">1.002</td>
<td valign="top" align="center">1.001-1.004</td>
<td valign="top" align="center">0.001<xref ref-type="table-fn" rid="t4fns1">&#x002A;</xref></td>
<td valign="top" align="center">1.001</td>
<td valign="top" align="center">1.000-1.003</td>
<td valign="top" align="center">0.045<xref ref-type="table-fn" rid="t4fns1">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">24 h urinary protein, g/24h</td>
<td valign="top" align="center">1.305</td>
<td valign="top" align="center">1.208-1.410</td>
<td valign="top" align="center">&#x003C;0.001<xref ref-type="table-fn" rid="t4fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">1.253</td>
<td valign="top" align="center">1.172-1.341</td>
<td valign="top" align="center">&#x003C;0.001<xref ref-type="table-fn" rid="t4fns1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Serum IgA, g/L</td>
<td valign="top" align="center">1.424</td>
<td valign="top" align="center">1.067-1.901</td>
<td valign="top" align="center">0.016<xref ref-type="table-fn" rid="t4fns1">&#x002A;</xref></td>
<td valign="top" align="center">1.261</td>
<td valign="top" align="center">1.023-1.555</td>
<td valign="top" align="center">0.03<xref ref-type="table-fn" rid="t4fns1">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">M1(M0/M1)</td>
<td valign="top" align="center">1.315</td>
<td valign="top" align="center">0.620-2.791</td>
<td valign="top" align="center">0.475</td>
<td valign="top" align="center">0.775</td>
<td valign="top" align="center">0.470-1.277</td>
<td valign="top" align="center">0.317</td>
</tr>
<tr>
<td valign="top" align="left">E1(E0/E1)</td>
<td valign="top" align="center">1.303</td>
<td valign="top" align="center">0.638-2.662</td>
<td valign="top" align="center">0.467</td>
<td valign="top" align="center">1.255</td>
<td valign="top" align="center">0.763-2.061</td>
<td valign="top" align="center">0.371</td>
</tr>
<tr>
<td valign="top" align="left">S1(S0/S1)</td>
<td valign="top" align="center">0.723</td>
<td valign="top" align="center">0.321-1.629</td>
<td valign="top" align="center">0.434</td>
<td valign="top" align="center">0.945</td>
<td valign="top" align="center">0.562-1.589</td>
<td valign="top" align="center">0.832</td>
</tr>
<tr>
<td valign="top" align="left">T1(T0/T1/T2)</td>
<td valign="top" align="center">7.005</td>
<td valign="top" align="center">3.012-16.291</td>
<td valign="top" align="center">&#x003C;0.001<xref ref-type="table-fn" rid="t4fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">7.747</td>
<td valign="top" align="center">4.314-13.913</td>
<td valign="top" align="center">&#x003C;0.001<xref ref-type="table-fn" rid="t4fns1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left"><bold>Proportions of crescents</bold></td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">None</td>
<td valign="top" align="center" colspan="3">Reference</td>
<td valign="top" align="center" colspan="3">Reference</td>
</tr>
<tr>
<td valign="top" align="left">&#x003C;10%</td>
<td valign="top" align="center">2.567</td>
<td valign="top" align="center">0.956-6.890</td>
<td valign="top" align="center">0.061</td>
<td valign="top" align="center">1.695</td>
<td valign="top" align="center">0.952-3.018</td>
<td valign="top" align="center">0.073</td>
</tr>
<tr>
<td valign="top" align="left">10&#x223C;24%</td>
<td valign="top" align="center">1.999</td>
<td valign="top" align="center">0.792-5.046</td>
<td valign="top" align="center">0.143</td>
<td valign="top" align="center">1.623</td>
<td valign="top" align="center">0.919-2.866</td>
<td valign="top" align="center">0.095</td>
</tr>
<tr>
<td valign="top" align="left">25&#x223C;49%</td>
<td valign="top" align="center">1.675</td>
<td valign="top" align="center">0.474-5.913</td>
<td valign="top" align="center">0.423</td>
<td valign="top" align="center">4.109</td>
<td valign="top" align="center">2.046-8.254</td>
<td valign="top" align="center">&#x003C;0.001<xref ref-type="table-fn" rid="t4fns1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;50%</td>
<td valign="top" align="center">8.652</td>
<td valign="top" align="center">2.068-36.194</td>
<td valign="top" align="center">0.003<xref ref-type="table-fn" rid="t4fns1">&#x002A;</xref></td>
<td valign="top" align="center">5.259</td>
<td valign="top" align="center">1.971-14.025</td>
<td valign="top" align="center">0.001<xref ref-type="table-fn" rid="t4fns1">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Global glomerulosclerosis,%</td>
<td valign="top" align="center">1.019</td>
<td valign="top" align="center">1.000-1.039</td>
<td valign="top" align="center">0.047<xref ref-type="table-fn" rid="t4fns1">&#x002A;</xref></td>
<td valign="top" align="center">1.016</td>
<td valign="top" align="center">1.001-1.032</td>
<td valign="top" align="center">0.039<xref ref-type="table-fn" rid="t4fns1">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left"><bold>Immunosuppressive therapy</bold></td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">No Immunosuppression</td>
<td valign="top" align="center" colspan="3">Reference</td>
<td valign="top" align="center" colspan="3">Reference</td>
</tr>
<tr>
<td valign="top" align="left">Any Immunosuppression</td>
<td valign="top" align="center">0.378</td>
<td valign="top" align="center">0.189-0.753</td>
<td valign="top" align="center">0.006<xref ref-type="table-fn" rid="t4fns1">&#x002A;</xref></td>
<td valign="top" align="center">0.195</td>
<td valign="top" align="center">0.110-0.346</td>
<td valign="top" align="center">&#x003C;0.001<xref ref-type="table-fn" rid="t4fns1">&#x002A;&#x002A;</xref></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t4fns1"><p><italic>The clinical and pathological factors with a p-value &#x003C;0.1 on univariate analysis were included in the multivariable model. MAP, mean arterial pressure; Cr, creatinine &#x002A;p &#x003C; 0.05; &#x002A;&#x002A;p &#x003C; 0.001.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="T5">
<label>TABLE 5</label>
<caption><p>Analysis of immunosuppressive therapy in subgroups of the crescents group.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Parameters</td>
<td valign="top" align="center" colspan="3">Untreated with<break/> immunosuppression</td>
<td valign="top" align="center" colspan="3">treated with<break/> immunosuppression</td>
</tr>
<tr>
<td valign="top" align="left"></td>
<td valign="top" align="center" colspan="3"><hr/></td>
<td valign="top" align="center" colspan="3"><hr/></td>
</tr>
<tr>
<td/>
<td valign="top" align="center">HR</td>
<td valign="top" align="center">95%CI</td>
<td valign="top" align="center"><italic>p</italic> Value</td>
<td valign="top" align="center">HR</td>
<td valign="top" align="center">95%CI</td>
<td valign="top" align="center"><italic>P-value</italic></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><bold>Proportions of crescents</bold></td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/></tr>
<tr>
<td valign="top" align="left">None</td>
<td valign="top" align="center" colspan="3">Reference</td>
<td valign="top" align="center" colspan="3">Reference</td>
</tr>
<tr>
<td valign="top" align="left">&#x003C;10%</td>
<td valign="top" align="center">3.978</td>
<td valign="top" align="center">1.437-11.011</td>
<td valign="top" align="center">0.008<xref ref-type="table-fn" rid="t5fns1">&#x002A;</xref></td>
<td valign="top" align="center">1.653</td>
<td valign="top" align="center">0.525-5.202</td>
<td valign="top" align="center">0.39</td>
</tr>
<tr>
<td valign="top" align="left">10&#x223C;24%</td>
<td valign="top" align="center">5.090</td>
<td valign="top" align="center">1.639-15.809</td>
<td valign="top" align="center">0.005<xref ref-type="table-fn" rid="t5fns1">&#x002A;</xref></td>
<td valign="top" align="center">1.633</td>
<td valign="top" align="center">0.568-4.694</td>
<td valign="top" align="center">0.362</td>
</tr>
<tr>
<td valign="top" align="left">25&#x223C;49%</td>
<td valign="top" align="center">6.746</td>
<td valign="top" align="center">1.524-29.873</td>
<td valign="top" align="center">0.012<xref ref-type="table-fn" rid="t5fns1">&#x002A;</xref></td>
<td valign="top" align="center">3.944</td>
<td valign="top" align="center">1.342-11.592</td>
<td valign="top" align="center">0.013<xref ref-type="table-fn" rid="t5fns1">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;50%</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">&#x2014;</td>
<td valign="top" align="center">4.332</td>
<td valign="top" align="center">1.113-16.867</td>
<td valign="top" align="center">0.035<xref ref-type="table-fn" rid="t5fns1">&#x002A;</xref></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t5fns1"><p><italic>The clinical and pathological factors with a p-value &#x003C;0.1 on univariate analysis were included in the multivariable model &#x002A;p &#x003C; 0.05.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption><p>Kaplan Meier survival curve of IgAN patients with or without crescents.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmed-09-864667-g002.tif"/>
</fig>
<p>We drew a ROC curve to analyze the diagnostic efficacy of crescents to predict the prognosis of IgAN patients treated with immunosuppressants (<xref ref-type="fig" rid="F3">Figure 3</xref>). AUC under ROC curve was 0.899 (95% CI = 0.845-0.959, <italic>p</italic> &#x003C; 0.001). The cut-off value of the proportion of crescents in predicting the occurrence of ESKD in IgAN patients calculated by the Youden Index was 43.7% (Sensitivity = 75.7%,specificity = 89.6%, <italic>p</italic> &#x003C; 0.001). The prognosis of IgAN patients with crescent &#x2265;43.7% was still poor, even after receiving immunosuppressive therapy.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption><p>Sensitivity and specificity of crescents in predicting the occurrence of ESKD in IgAN patients.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmed-09-864667-g003.tif"/>
</fig>
<p>We further compared the risk of ESKD associated with crescents &#x2265;43.7% in our whole cohort and within subgroups treated with immunosuppressants in <xref ref-type="fig" rid="F4">Figure 4</xref>. Patients with crescents &#x003C;43.7% had better renal prognosis than those with crescents &#x2265;43.7% (<italic>p</italic> &#x003C; 0.001), supporting the predictive value of 43.7% in IgA patients with or without immunosuppressive therapy.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption><p>Cumulative renal survival rate from <bold>(A)</bold>: ESRD <bold>(B)</bold>: ESRD or 50% reduction in eGFR in 894 cases of IgAN patients. Cumulative renal survival rate from <bold>(C)</bold>: ESRD <bold>(D)</bold>: ESRD or 50% reduction in eGFR in 529 cases of IgAN patients treated with immunosuppressants.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmed-09-864667-g004.tif"/>
</fig>
</sec>
<sec id="S3.SS5">
<title>Validation of Prediction Model</title>
<p>To determine the risk factors and test the prediction model of crescentic IgAN, we further confirmed the above results in a validation cohort of 346 patients from Affiliated Hospital of Southwest Medical University. Comparison of baseline characteristics of IgAN patients in this discovery cohort and validation cohort was shown in <xref ref-type="supplementary-material" rid="DS1">Supplementary Table 4</xref>. On multivariate cox regression analyses in the validation cohort, glomerular sclerosis (<italic>p</italic> &#x003C; 0.001), crescents (<italic>p</italic> &#x003C; 0.001), and serum Creatinine (<italic>p</italic> &#x003C; 0.001) were risk factors for the development of ESRD. As shown in <xref ref-type="fig" rid="F5">Figure 5</xref>, after adjusted for proteinuria, eGFR, blood pressure, Oxford-MEST score, patients with crescents &#x003C;43.7% had better renal prognosis than those with crescents &#x2265;43.7% in the whole group and those with immunosuppressants(<italic>p</italic> &#x003C; 0.001).</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption><p>Cumulative renal survival rate from <bold>(A)</bold>: ESRD <bold>(B)</bold>: ESRD or 50% reduction in eGFR in 346 cases of IgAN patients from validation Cohort. Cumulative renal survival rate from <bold>(C)</bold>: ESRD <bold>(D)</bold>: ESRD or 50% reduction in eGFR in 206 cases of IgAN patients treated with immunosuppressants from validation Cohort.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmed-09-864667-g005.tif"/>
</fig>
</sec>
</sec>
<sec id="S4" sec-type="discussion">
<title>Discussion</title>
<p>Although the origin Oxford classification for IgAN has been extended to the MEST-C scores, the impact of the crescents on the poor outcomes in IgAN patients is still uncertain, especially for the proportion of crescent below 50%, and the threshold of crescent proportion for predicting poor prognosis of IgAN is also controversial. The crescent score wasn&#x2019;t included in the International IgAN Prediction Tool recommended for quantifying the risk of IgAN progression. Furthermore, a multicentre study from China found that the presence of crescents was not a predictor of poor prognosis in IgAN patients (<xref ref-type="bibr" rid="B9">9</xref>), which excluded individuals with eGFR&#x003C;30 ml/min/1.73m<sup>2</sup> and 24 h urinary protein &#x003C;0.5 g/24 h. Therefore, our study aimed to evaluate the value of different proportions of crescents (including crescent below 50%) by comparing the clinicopathological features and prognosis of IgAN patients including those with rapid progression renal function.</p>
<p>The glomerular crescent is a histomorphological indicator of a rupture of glomerular capillaries, which is related to various clinical manifestations, such as blood pressure, SCr, 24-h urinary protein, anemia and so on. Our study confirmed that the baseline clinical and pathological indicators were more severe with the increase of the proportion of crescent, which was similar to the results of other cohort studies (<xref ref-type="bibr" rid="B15">15</xref>&#x2013;<xref ref-type="bibr" rid="B17">17</xref>). Crescents formation leads to fading of eGFR by increasing counter pressure and collapse of the glomerular tuft or by obstructing the tubular outflow (<xref ref-type="bibr" rid="B18">18</xref>). A multicenter study showed that the blood pressure of IgAN patients in group C2 was higher than that of C0 and C1 (<xref ref-type="bibr" rid="B15">15</xref>). However, there was no significant difference in MAP between the -crescent and the none-crescent group, in our study. The possible reason for this result is that we did not exclude patients who had received RASi before enrolment.</p>
<p>Our current report represents the largest cohort to date to investigate the effect of different proportions of crescents on the clinical outcomes of IgAN patients. In our study, after adjusting clinical and pathological factors, we showed crescents &#x2265;50% was associated with the progression of IgAN patients to ESKD, and crescents &#x2265;25% was an independent risk factor for combined renal outcomes, consistent with previous reports. Moreover, we found that among patients without immunosuppressive therapy, there was no significant difference in baseline SCr between patients with crescents and without crescents, but the former&#x2019;s long-term renal survival rate was significantly lower. The results of another retrospective analysis also supported our conclusions (<xref ref-type="bibr" rid="B13">13</xref>). Similarly, this study showed that, after adjusting for age, gender, 24 h urinary protein and baseline SCr, the presence of crescents was independently associated with composite point events (doubling of baseline SCr or ESKD or death). Research at home and abroad shows that the value of crescents in predicting renal function progression is inconsistent in IgAN patients. On the one hand, it is considered that race, geographical distribution, inclusion criteria may affect the predictive value of crescents on the progression of IgAN. On the other hand, calculating the percentage of crescents is not a precise method, because it is affected by the size of the biopsy sample and the number of histologic sections examined (<xref ref-type="bibr" rid="B13">13</xref>). In addition, our baseline data analysis showed that the patients with crescents &#x003C;10% were 37.1%. In fact, it&#x2019;s easy to ignore the crescent lesion in these patients, especially for those without severe renal function injury. Therefore, clinicians should pay more attention to the crescent lesion, even if the proportion of crescents is less than 10%, and early treatment can effectively delay the progression and improve the prognosis of IgAN.</p>
<p>According to the origin KDIGO clinical guideline released in 2012 (<xref ref-type="bibr" rid="B5">5</xref>), IgAN patients with crescentic IgAN were recommended to receive more intensive treatment, such as GC or other immunosuppressive. However, for IgAN patients with crescents &#x003C; 50%, the specific treatment of these patients was still unclear. Additionally, with reference to the 2021 edition &#x201C;KDIGO 2021 Clinical Practice Guideline for the Management of Glomerular Diseases,&#x201D; it pointed out that there was insufficient evidence to make treatment decisions based on the presence and number of crescents in renal biopsy (<xref ref-type="bibr" rid="B19">19</xref>). Our study showed that IgAN patients with crescents received more intensive treatment. In these patients, crescents &#x003C;25% was not an independent risk factor for poor prognosis. However, for IgAN patients without immunosuppressive therapy, any proportion of crescents was a predictor of composite renal outcome. Therefore, immunosuppressive therapy may delay the progression and improve the prognosis of IgAN, which was similar to the conclusion of Haas (<xref ref-type="bibr" rid="B3">3</xref>).</p>
<p>This discovery cohort and the validation cohort both confirmed that patients with crescents &#x003C;43.7% had better renal prognosis than those with crescents 43.7% in the whole group and those with immunosuppressants (<italic>p</italic> &#x003C; 0.001). Based on the above conclusions, we speculated that immunosuppressive therapy may delay the occurrence of composite renal outcomes, and patients with crescents &#x2265;43.7% may still have a poor prognosis, even with intensive immunosuppressive therapy. Therefore, it&#x2019;s important to perform a renal biopsy as early as possible in patients with suspected IgA nephropathy.</p>
<p>There were some limitations to this study. Firstly, as a retrospective study, we didn&#x2019;t describe the kinds of immunosuppressive, drug doses and duration of treatment in detail. Secondly, this was a single-center retrospective observational analysis, it was difficult to control for all factors that may affect renal survivorship. We hope to perform multicenter prospective research with a large sample size to further verify this conclusion.</p>
</sec>
<sec id="S5" sec-type="conclusion">
<title>Conclusion</title>
<p>Immunoglobin A nephropathy patients with crescents had more severe clinicopathological features and poorer prognosis. Crescents &#x2265;50% was an independent risk factor for the progression of ESKD and crescents &#x2265;25% was an independent risk factor for &#x2265;50% reduction in eGFR or ESKD in treated and untreated IgAN patients. Crescents &#x2265;43.7% was an independent risk factor for ESKD in those with immunosuppressants.</p>
</sec>
<sec id="S6" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The original contributions presented in this study are included in the article/<xref ref-type="supplementary-material" rid="DS1">Supplementary Material</xref>, further inquiries can be directed to the corresponding author/s.</p>
</sec>
<sec id="S7">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by Ethics Committee of Sichuan Academy of Medical Science &#x0026; Sichuan Provincial People&#x2019;s Hospital. Written informed consent from the participants/patients was not required to participate in this study in accordance with the national legislation and the institutional requirements.</p>
</sec>
<sec id="S8">
<title>Author Contributions</title>
<p>YD, SC, WW, PZ, ML, XZ, JQ, and WW: data collection. GL and WW: study design. YD, WW, FW, and ML: statistical analyses. YD, WW, SC, and CL: writing. All authors have read and approved the manuscript.</p>
</sec>
<sec id="conf1" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="pudiscl1" 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>
</body>
<back>
<sec id="S9" sec-type="funding-information">
<title>Funding</title>
<p>This work was supported by a grant from the University of Electronic Science and Technology of China Central University Research Fund (ZYGX2019J104), a grant from the Science and Technology Project of Sichuan Province (2020YJ0447), a grant from the Key R &#x0026; D plan of Sichuan Province (2019YFS0538).</p>
</sec>
<ack><p>We are grateful to all the subjects who participated in this work. This study was reviewed and approved by the effect of crescents on the clinical features and outcomes of primary IgAN.</p>
</ack>
<sec id="S11" 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/fmed.2022.864667/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fmed.2022.864667/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.docx" id="DS1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<ref-list>
<title>References</title>
<ref id="B1"><label>1.</label><citation citation-type="journal"><collab>Working Group of the International IgA Nephropathy Network and the Renal Pathology Society</collab>, <person-group person-group-type="author"><name><surname>Cattran</surname> <given-names>DC</given-names></name> <name><surname>Coppo</surname> <given-names>R</given-names></name> <name><surname>Cook</surname> <given-names>HT</given-names></name> <name><surname>Feehally</surname> <given-names>J</given-names></name> <name><surname>Roberts</surname> <given-names>IS</given-names></name><etal/></person-group> <article-title>The Oxford classification of IgA nephropathy: rationale, clinicopathological correlations, and classification.</article-title> <source><italic>Kidney Int.</italic></source> (<year>2009</year>) <volume>76</volume>:<fpage>534</fpage>&#x2013;<lpage>45</lpage>. <pub-id pub-id-type="doi">10.1038/ki.2009.243</pub-id> <pub-id pub-id-type="pmid">19571791</pub-id></citation></ref>
<ref id="B2"><label>2.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Trimarchi</surname> <given-names>H</given-names></name> <name><surname>Barratt</surname> <given-names>J</given-names></name> <name><surname>Cattran</surname> <given-names>DC</given-names></name> <name><surname>Cook</surname> <given-names>HT</given-names></name> <name><surname>Coppo</surname> <given-names>R</given-names></name> <name><surname>Haas</surname> <given-names>M</given-names></name><etal/></person-group> <article-title>Oxford classification of IgA nephropathy 2016: an update from the IgA nephropathy classification working group.</article-title> <source><italic>Kidney Int.</italic></source> (<year>2017</year>) <volume>91</volume>:<fpage>1014</fpage>&#x2013;<lpage>21</lpage>. <pub-id pub-id-type="doi">10.1016/j.kint.2017.02.003</pub-id> <pub-id pub-id-type="pmid">28341274</pub-id></citation></ref>
<ref id="B3"><label>3.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Haas</surname> <given-names>M</given-names></name> <name><surname>Verhave</surname> <given-names>JC</given-names></name> <name><surname>Liu</surname> <given-names>ZH</given-names></name> <name><surname>Alpers</surname> <given-names>CE</given-names></name> <name><surname>Barratt</surname> <given-names>J</given-names></name> <name><surname>Becker</surname> <given-names>JU</given-names></name><etal/></person-group> <article-title>A multicenter study of the predictive value of crescents in IgA nephropathy.</article-title> <source><italic>J Am Soc Nephrol.</italic></source> (<year>2017</year>) <volume>28</volume>:<fpage>691</fpage>&#x2013;<lpage>701</lpage>. <pub-id pub-id-type="doi">10.1681/ASN.2016040433</pub-id> <pub-id pub-id-type="pmid">27612994</pub-id></citation></ref>
<ref id="B4"><label>4.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Katafuchi</surname> <given-names>R</given-names></name> <name><surname>Ninomiya</surname> <given-names>T</given-names></name> <name><surname>Nagata</surname> <given-names>M</given-names></name> <name><surname>Mitsuiki</surname> <given-names>K</given-names></name> <name><surname>Hirakata</surname> <given-names>H</given-names></name></person-group>. <article-title>Validation study of oxford classification of IgA nephropathy: the significance of extracapillary proliferation.</article-title> <source><italic>Clin J Am Soc Nephrol.</italic></source> (<year>2011</year>) <volume>6</volume>:<fpage>2806</fpage>&#x2013;<lpage>13</lpage>. <pub-id pub-id-type="doi">10.2215/CJN.02890311</pub-id> <pub-id pub-id-type="pmid">22157710</pub-id></citation></ref>
<ref id="B5"><label>5.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Radhakrishnan</surname> <given-names>J</given-names></name> <name><surname>Cattran</surname> <given-names>DC</given-names></name></person-group>. <article-title>The KDIGO practice guideline on glomerulonephritis: reading between the (guide)lines&#x2013;application to the individual patient.</article-title> <source><italic>Kidney Int.</italic></source> (<year>2012</year>) <volume>82</volume>:<fpage>840</fpage>&#x2013;<lpage>56</lpage>. <pub-id pub-id-type="doi">10.1038/ki.2012.280</pub-id> <pub-id pub-id-type="pmid">22895519</pub-id></citation></ref>
<ref id="B6"><label>6.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Edstrom Halling</surname> <given-names>S</given-names></name> <name><surname>Soderberg</surname> <given-names>MP</given-names></name> <name><surname>Berg</surname> <given-names>UB</given-names></name></person-group>. <article-title>Predictors of outcome in paediatric IgA nephropathy with regard to clinical and histopathological variables (Oxford classification).</article-title> <source><italic>Nephrol Dial Transplant.</italic></source> (<year>2012</year>) <volume>27</volume>:<fpage>715</fpage>&#x2013;<lpage>22</lpage>. <pub-id pub-id-type="doi">10.1093/ndt/gfr339</pub-id> <pub-id pub-id-type="pmid">21750154</pub-id></citation></ref>
<ref id="B7"><label>7.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Shi</surname> <given-names>SF</given-names></name> <name><surname>Wang</surname> <given-names>SX</given-names></name> <name><surname>Jiang</surname> <given-names>L</given-names></name> <name><surname>Lv</surname> <given-names>JC</given-names></name> <name><surname>Liu</surname> <given-names>LJ</given-names></name> <name><surname>Chen</surname> <given-names>YQ</given-names></name><etal/></person-group> <article-title>Pathologic predictors of renal outcome and therapeutic efficacy in IgA nephropathy: validation of the oxford classification.</article-title> <source><italic>Clin J Am Soc Nephrol.</italic></source> (<year>2011</year>) <volume>6</volume>:<fpage>2175</fpage>&#x2013;<lpage>84</lpage>. <pub-id pub-id-type="doi">10.2215/CJN.11521210</pub-id> <pub-id pub-id-type="pmid">21852672</pub-id></citation></ref>
<ref id="B8"><label>8.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Walsh</surname> <given-names>M</given-names></name> <name><surname>Sar</surname> <given-names>A</given-names></name> <name><surname>Lee</surname> <given-names>D</given-names></name> <name><surname>Yilmaz</surname> <given-names>S</given-names></name> <name><surname>Benediktsson</surname> <given-names>H</given-names></name> <name><surname>Manns</surname> <given-names>B</given-names></name><etal/></person-group> <article-title>Histopathologic features aid in predicting risk for progression of IgA nephropathy.</article-title> <source><italic>Clin J Am Soc Nephrol.</italic></source> (<year>2010</year>) <volume>5</volume>:<fpage>425</fpage>&#x2013;<lpage>30</lpage>. <pub-id pub-id-type="doi">10.2215/CJN.06530909</pub-id> <pub-id pub-id-type="pmid">20089495</pub-id></citation></ref>
<ref id="B9"><label>9.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zeng</surname> <given-names>CH</given-names></name> <name><surname>Le</surname> <given-names>W</given-names></name> <name><surname>Ni</surname> <given-names>Z</given-names></name> <name><surname>Zhang</surname> <given-names>M</given-names></name> <name><surname>Miao</surname> <given-names>L</given-names></name> <name><surname>Luo</surname> <given-names>P</given-names></name><etal/></person-group> <article-title>A multicenter application and evaluation of the oxford classification of IgA nephropathy in adult chinese patients.</article-title> <source><italic>Am J Kidney Dis.</italic></source> (<year>2012</year>) <volume>60</volume>:<fpage>812</fpage>&#x2013;<lpage>20</lpage>. <pub-id pub-id-type="doi">10.1053/j.ajkd.2012.06.011</pub-id> <pub-id pub-id-type="pmid">22819700</pub-id></citation></ref>
<ref id="B10"><label>10.</label><citation citation-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><italic>Kidney Int.</italic></source> (<year>2014</year>) <volume>86</volume>:<fpage>828</fpage>&#x2013;<lpage>36</lpage>. <pub-id pub-id-type="doi">10.1038/ki.2014.63</pub-id> <pub-id pub-id-type="pmid">24694989</pub-id></citation></ref>
<ref id="B11"><label>11.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rafieian-Kopaei</surname> <given-names>M</given-names></name> <name><surname>Baradaran</surname> <given-names>A</given-names></name> <name><surname>Nasri</surname> <given-names>H</given-names></name></person-group>. <article-title>Significance of extracapillary proliferation in IgA-nephropathy patients with regard to clinical and histopathological variables.</article-title> <source><italic>Hippokratia.</italic></source> (<year>2013</year>) <volume>17</volume>:<fpage>258</fpage>&#x2013;<lpage>61</lpage>. <pub-id pub-id-type="pmid">24470738</pub-id></citation></ref>
<ref id="B12"><label>12.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lee</surname> <given-names>MJ</given-names></name> <name><surname>Kim</surname> <given-names>SJ</given-names></name> <name><surname>Oh</surname> <given-names>HJ</given-names></name> <name><surname>Ko</surname> <given-names>KI</given-names></name> <name><surname>Koo</surname> <given-names>HM</given-names></name> <name><surname>Kim</surname> <given-names>CH</given-names></name><etal/></person-group> <article-title>Clinical implication of crescentic lesions in immunoglobulin A nephropathy.</article-title> <source><italic>Nephrol Dial Transplant.</italic></source> (<year>2014</year>) <volume>29</volume>:<fpage>356</fpage>&#x2013;<lpage>64</lpage>. <pub-id pub-id-type="doi">10.1093/ndt/gft398</pub-id> <pub-id pub-id-type="pmid">24081867</pub-id></citation></ref>
<ref id="B13"><label>13.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lv</surname> <given-names>J</given-names></name> <name><surname>Yang</surname> <given-names>Y</given-names></name> <name><surname>Zhang</surname> <given-names>H</given-names></name> <name><surname>Chen</surname> <given-names>W</given-names></name> <name><surname>Pan</surname> <given-names>X</given-names></name> <name><surname>Guo</surname> <given-names>Z</given-names></name><etal/></person-group> <article-title>Prediction of outcomes in crescentic IgA nephropathy in a multicenter cohort study.</article-title> <source><italic>J Am Soc Nephrol.</italic></source> (<year>2013</year>) <volume>24</volume>:<fpage>2118</fpage>&#x2013;<lpage>25</lpage>. <pub-id pub-id-type="doi">10.1681/ASN.2012101017</pub-id> <pub-id pub-id-type="pmid">24029421</pub-id></citation></ref>
<ref id="B14"><label>14.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Shima</surname> <given-names>Y</given-names></name> <name><surname>Nakanishi</surname> <given-names>K</given-names></name> <name><surname>Hama</surname> <given-names>T</given-names></name> <name><surname>Mukaiyama</surname> <given-names>H</given-names></name> <name><surname>Togawa</surname> <given-names>H</given-names></name> <name><surname>Hashimura</surname> <given-names>Y</given-names></name><etal/></person-group> <article-title>Validity of the Oxford classification of IgA nephropathy in children.</article-title> <source><italic>Pediatr Nephrol.</italic></source> (<year>2012</year>) <volume>27</volume>:<fpage>783</fpage>&#x2013;<lpage>92</lpage>. <pub-id pub-id-type="doi">10.1007/s00467-011-2061-0</pub-id> <pub-id pub-id-type="pmid">22134880</pub-id></citation></ref>
<ref id="B15"><label>15.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Park</surname> <given-names>S</given-names></name> <name><surname>Baek</surname> <given-names>CH</given-names></name> <name><surname>Park</surname> <given-names>SK</given-names></name> <name><surname>Kang</surname> <given-names>HG</given-names></name> <name><surname>Hyun</surname> <given-names>HS</given-names></name> <name><surname>Park</surname> <given-names>E</given-names></name><etal/></person-group> <article-title>Clinical significance of crescent formation in IgA nephropathy - a multicenter validation study.</article-title> <source><italic>Kidney Blood Press Res.</italic></source> (<year>2019</year>) <volume>44</volume>:<fpage>22</fpage>&#x2013;<lpage>32</lpage>. <pub-id pub-id-type="doi">10.1159/000497808</pub-id> <pub-id pub-id-type="pmid">30808840</pub-id></citation></ref>
<ref id="B16"><label>16.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname> <given-names>W</given-names></name> <name><surname>Zhou</surname> <given-names>Q</given-names></name> <name><surname>Hong</surname> <given-names>L</given-names></name> <name><surname>Chen</surname> <given-names>W</given-names></name> <name><surname>Yang</surname> <given-names>S</given-names></name> <name><surname>Yang</surname> <given-names>Q</given-names></name><etal/></person-group> <article-title>Clinical outcomes of IgA nephropathy patients with different proportions of crescents.</article-title> <source><italic>Medicine.</italic></source> (<year>2017</year>) <volume>96</volume>:<issue>e6190</issue>. <pub-id pub-id-type="doi">10.1097/MD.0000000000006190</pub-id> <pub-id pub-id-type="pmid">28296731</pub-id></citation></ref>
<ref id="B17"><label>17.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname> <given-names>X</given-names></name> <name><surname>Shi</surname> <given-names>S</given-names></name> <name><surname>Ouyang</surname> <given-names>Y</given-names></name> <name><surname>Yang</surname> <given-names>M</given-names></name> <name><surname>Shi</surname> <given-names>M</given-names></name> <name><surname>Pan</surname> <given-names>X</given-names></name><etal/></person-group> <article-title>A validation study of crescents in predicting ESRD in patients with IgA nephropathy.</article-title> <source><italic>J Transl Med.</italic></source> (<year>2018</year>) <volume>16</volume>:<issue>115</issue>. <pub-id pub-id-type="doi">10.1186/s12967-018-1488-5</pub-id> <pub-id pub-id-type="pmid">29724226</pub-id></citation></ref>
<ref id="B18"><label>18.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Anguiano</surname> <given-names>L</given-names></name> <name><surname>Kain</surname> <given-names>R</given-names></name> <name><surname>Anders</surname> <given-names>HJ</given-names></name></person-group>. <article-title>The glomerular crescent: triggers, evolution, resolution, and implications for therapy.</article-title> <source><italic>Curr Opin Nephrol Hypertens.</italic></source> (<year>2020</year>) <volume>29</volume>:<fpage>302</fpage>&#x2013;<lpage>9</lpage>. <pub-id pub-id-type="doi">10.1097/MNH.0000000000000596</pub-id> <pub-id pub-id-type="pmid">32132388</pub-id></citation></ref>
<ref id="B19"><label>19.</label><citation citation-type="journal"><collab>Kidney Disease: Improving Global Outcomes Glomerular Diseases Work Group.</collab> <article-title>KDIGO 2021 clinical practice guideline for the management of glomerular diseases.</article-title> <source><italic>Kidney Int.</italic></source> (<year>2021</year>) <volume>100</volume>:<fpage>S1</fpage>&#x2013;<lpage>276</lpage>. <pub-id pub-id-type="doi">10.1016/j.kint.2021.05.021</pub-id> <pub-id pub-id-type="pmid">34556256</pub-id></citation></ref>
</ref-list>
</back>
</article>
