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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pediatr.</journal-id>
<journal-title>Frontiers in Pediatrics</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pediatr.</abbrev-journal-title>
<issn pub-type="epub">2296-2360</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fped.2024.1487441</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pediatrics</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>The safety of cyclosporine and tacrolimus in pediatric nephrotic syndrome patients: a disproportionate analysis based on the FAERS database</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Liu</surname><given-names>Yu</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/2792843/overview"/><role content-type="https://credit.niso.org/contributor-roles/data-curation/"/><role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/><role content-type="https://credit.niso.org/contributor-roles/resources/"/><role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Yan</surname><given-names>Chong</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Zhao</surname><given-names>Yaowang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref><uri xlink:href="https://loop.frontiersin.org/people/903515/overview" /><role content-type="https://credit.niso.org/contributor-roles/validation/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author"><name><surname>Deng</surname><given-names>Sui</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>Zu</surname><given-names>Jiancheng</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x002A;</xref>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/><role content-type="https://credit.niso.org/contributor-roles/investigation/"/><role content-type="https://credit.niso.org/contributor-roles/methodology/"/><role content-type="https://credit.niso.org/contributor-roles/supervision/"/><role content-type="https://credit.niso.org/contributor-roles/validation/"/><role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/></contrib>
</contrib-group>
<aff id="aff1"><label><sup>1</sup></label><institution>Department of Urology, The Affiliated Children&#x2019;s Hospital of Xiangya School of Medicine, Central South University (Hunan Children&#x2019;s Hospital)</institution>, <addr-line>Changsha</addr-line>, <country>China</country></aff>
<aff id="aff2"><label><sup>2</sup></label><institution>Changde Hospital, Xiangya School of Medicine, Central South University (The First People&#x2019;s Hospital of Changde City)</institution>, <addr-line>Changde</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p><bold>Edited by:</bold> Mara Medeiros, Federico G&#x00F3;mez Children&#x0027;s Hospital, Mexico</p></fn>
<fn fn-type="edited-by"><p><bold>Reviewed by:</bold> Jessica Liliana Vargas-Neri, Hospital Infantil de M&#x00E9;xico Federico G&#x00F3;mez, Mexico</p>
<p>Lorena Medina Aymerich, Duke University, United States</p>
<p>Alfonso Huante Anaya, Universidad La Salle, Mexico</p></fn>
<corresp id="cor1"><label>&#x002A;</label><bold>Correspondence:</bold> Jiancheng Zu <email>408807437@qq.com</email></corresp>
</author-notes>
<pub-date pub-type="epub"><day>07</day><month>01</month><year>2025</year></pub-date>
<pub-date pub-type="collection"><year>2024</year></pub-date>
<volume>12</volume><elocation-id>1487441</elocation-id>
<history>
<date date-type="received"><day>10</day><month>09</month><year>2024</year></date>
<date date-type="accepted"><day>11</day><month>12</month><year>2024</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2025 Liu, Yan, Zhao, Deng and Zu.</copyright-statement>
<copyright-year>2025</copyright-year><copyright-holder>Liu, Yan, Zhao, Deng and Zu</copyright-holder><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract><sec><title>Objective</title>
<p>This study aimed to systematically evaluate the safety of cyclosporine (CsA) and tacrolimus (TAC) in pediatric nephrotic syndrome (NS) patients using real-world data from the FDA Adverse Event Reporting System (FAERS).</p>
</sec><sec><title>Methods</title>
<p>We analyzed adverse event (AE) reports from the FAERS database between Q4 2003 and Q2 2024, focusing on AEs associated with CsA and TAC in NS patients aged 18 years and younger. We employed three signal detection methods&#x2014;Proportional Reporting Ratio (PRR), Relative Reporting Ratio (RRR), and Reporting Odds Ratio (ROR)&#x2014;to assess the risk of drug-related AEs. Sensitivity analyses were conducted to explore the influence of gender on AE occurrence.</p>
</sec><sec><title>Results</title>
<p>A total of 207 CsA-related and 145 TAC-related AE reports were included. CsA was significantly associated with nephropathy toxic (ROR&#x2009;&#x003D;&#x2009;8.26, 95&#x0025; CI: 4.21&#x2013;16.20), urine output decreased (ROR&#x2009;&#x003D;&#x2009;29.93, 95&#x0025; CI: 3.66&#x2013;244.61), and posterior reversible encephalopathy syndrome (ROR&#x2009;&#x003D;&#x2009;6.70, 95&#x0025; CI: 3.17&#x2013;14.14). TAC was associated with an increased risk of dystonia (ROR&#x2009;&#x003D;&#x2009;67.93, 95&#x0025; CI: 8.63&#x2013;534.86), kidney fibrosis (ROR&#x2009;&#x003D;&#x2009;22.65, 95&#x0025; CI: 8.16&#x2013;62.87), and diabetic ketoacidosis (ROR&#x2009;&#x003D;&#x2009;46.51, 95&#x0025; CI: 5.68&#x2013;380.97). Sensitivity analysis indicated that gender influenced the occurrence of AEs, with CsA showing higher nephrotoxicity in male patients, while TAC was more strongly associated with metabolic disorders and neurological AEs in female patients.</p>
</sec><sec><title>Conclusion</title>
<p>In pediatric NS patients, CsA primarily induces nephrotoxicity and neurological complications, whereas TAC is more likely to cause kidney fibrosis and metabolic disorders. Enhanced monitoring of these AEs and individualized drug adjustments based on patient characteristics are recommended to optimize treatment outcomes and reduce AE incidence.</p>
</sec>
</abstract>
<kwd-group>
<kwd>tacrolimus</kwd>
<kwd>nephrotic syndrome</kwd>
<kwd>pediatrics</kwd>
<kwd>FAERS</kwd>
<kwd>real-world data</kwd>
<kwd>cyclosporine</kwd>
</kwd-group><counts>
<fig-count count="7"/>
<table-count count="5"/><equation-count count="1"/><ref-count count="40"/><page-count count="12"/><word-count count="0"/></counts><custom-meta-wrap><custom-meta><meta-name>section-at-acceptance</meta-name><meta-value>Pediatric Nephrology</meta-value></custom-meta></custom-meta-wrap>
</article-meta>
</front>
<body><sec id="s1" sec-type="intro"><label>1</label><title>Introduction</title>
<p>Nephrotic syndrome (NS) is a common chronic kidney disease in childhood, with an incidence of approximately 2&#x2013;7 cases per 100,000 children annually. The characteristic features of NS include massive proteinuria, hypoalbuminemia, hyperlipidemia, and generalized edema, which severely affect the patients&#x0027; quality of life and long-term prognosis (<xref ref-type="bibr" rid="B1">1</xref>). About 10&#x0025; of NS patients are resistant to glucocorticoid therapy, developing steroid-resistant nephrotic syndrome (SRNS), which typically requires treatment with immunosuppressants (<xref ref-type="bibr" rid="B2">2</xref>). Cyclosporine (CsA) and tacrolimus (TAC) are the primary immunosuppressants used in the treatment of SRNS.</p>
<p>CsA, available under brand names such as <italic>Neoral&#x00AE;</italic> and <italic>Sandimmune&#x00AE;</italic>, is typically administered orally or intravenously in doses ranging from 2 to 5&#x2005;mg/kg/day, divided into two doses. The formulations include capsules, oral solutions, and injectable solutions. The duration of CsA therapy in SRNS patients can range from months to several years, depending on the patient&#x0027;s response and tolerance. CsA has been widely used in the treatment of SRNS since the 1980s. Studies have shown that approximately 50&#x0025;&#x2013;70&#x0025; of pediatric SRNS patients treated with CsA achieve complete or partial remission within the first 6 months of therapy (<xref ref-type="bibr" rid="B3">3</xref>). Meta-analyses have also demonstrated that CsA significantly increases the number of children with SRNS achieving complete remission compared to placebo or no treatment (<xref ref-type="bibr" rid="B4">4</xref>). However, CsA use is associated with significant nephrotoxicity, including elevated serum creatinine levels and tubulointerstitial fibrosis, which may lead to irreversible kidney damage (<xref ref-type="bibr" rid="B5">5</xref>). Additionally, CsA is closely associated with adverse effects such as hypertension, gingival hyperplasia, and hirsutism, which significantly impact the patient&#x0027;s quality of life (<xref ref-type="bibr" rid="B6">6</xref>).</p>
<p>In contrast, TAC, a newer calcineurin inhibitor, has been increasingly used in SRNS treatment due to its stronger immunosuppressive effects and lower metabolic side effects compared to CsA. TAC, marketed under brand names like <italic>Prograf&#x00AE;</italic> and <italic>Astagraf XL&#x00AE;</italic>, is primarily administered orally, with starting doses of 0.1&#x2013;0.2&#x2005;mg/kg/day in two divided doses. Formulations include capsules and extended-release tablets. TAC is generally favored for its stronger immunosuppressive effect and reduced risk of hirsutism and gingival hyperplasia compared to CsA. In the short term, TAC has been shown to be more effective than CsA in treating pediatric SRNS (<xref ref-type="bibr" rid="B7">7</xref>). Other studies have shown that 6 months of TAC therapy results in complete or partial remission in 95&#x0025; of patients, with a high remission rate and lower nephrotoxicity observed even after one year of follow-up (<xref ref-type="bibr" rid="B8">8</xref>).</p>
<p>Currently, there is a lack of comprehensive safety evaluations of CsA and TAC in pediatric NS patients. It is crucial to evaluate the safety of these drugs specifically in pediatric populations, as children may respond differently to these medications due to their developing organ systems and physiological characteristics. For instance, children&#x0027;s kidneys are still maturing, which affects the metabolism and clearance of drugs like CsA and TAC, potentially leading to altered side effect profiles. With the widespread use of real-world data (RWD), large-scale RWD-based assessments of drug safety have become an important trend in pharmacovigilance research (<xref ref-type="bibr" rid="B9">9</xref>). The FDA Adverse Event Reporting System (FAERS), a large-scale database based on voluntary reporting, provides rich real-world data that offers valuable resources for evaluating drug-related AEs in different populations (<xref ref-type="bibr" rid="B10">10</xref>). The database has significant advantages in discovering rare adverse reactions. Disproportionality analysis, a standard method in pharmacovigilance, provides insights into potential associations between drugs and AEs by comparing observed vs. expected AE frequencies. This study aims to analyze the AE characteristics of CsA and TAC in pediatric NS patients using the OpenVigil tool, based on FAERS data, and systematically evaluate their safety in this specific population. We hypothesized that CsA and TAC may have different risks of adverse reactions in children with nephrotic syndrome. This will provide clinicians with the latest evidence on the safety of CsA and TAC, guiding more rational drug use strategies.</p>
</sec>
<sec id="s2" sec-type="methods"><label>2</label><title>Materials and methods</title>
<sec id="s2a"><label>2.1</label><title>Data source and collection</title>
<p>The FAERS database was accessed through the OpenVigil 2.1 platform (<ext-link ext-link-type="uri" xlink:href="https://openvigil.sourceforge.net/">https://openvigil.sourceforge.net/</ext-link>), which provides cleaned and standardized FAERS data. This study included reports submitted between Q4 2003 and Q2 2024. The FAERS database was chosen for its extensive coverage of global drug safety data, its availability for public research, and its acceptance as a reliable source for pharmacovigilance studies. OpenVigil 2.1 cleans and standardizes FAERS data, providing a large-scale adverse event database that is accessible for researchers to query and analyze (<xref ref-type="bibr" rid="B11">11</xref>). This study focused specifically on CsA and TAC, restricting the analysis to cases where these drugs were identified as the Primary Suspect (PS) and including only reports related to nephrotic syndrome patients aged 18 years and younger. Adverse events were coded using the Medical Dictionary for Regulatory Activities (MedDRA), version 25.1. Drugs were classified according to the Anatomical Therapeutic Chemical (ATC) classification system. Reports with ambiguous drug assignments (e.g., concomitant use without clear attribution to primary or secondary suspect drugs) were excluded to avoid bias.</p>
</sec>
<sec id="s2b"><label>2.2</label><title>Statistical analysis</title>
<p>The primary signal detection in this study was conducted using three disproportionality analysis methods: Proportional Reporting Ratio (PRR) (<xref ref-type="bibr" rid="B12">12</xref>), Relative Reporting Ratio (RRR) (<xref ref-type="bibr" rid="B13">13</xref>), and Reporting Odds Ratio (ROR) (<xref ref-type="bibr" rid="B14">14</xref>). Disproportionality analysis is a standard methodology in pharmacovigilance to detect signals of drug-related AEs by comparing the observed vs. expected reporting frequencies of specific AEs. These methods evaluate whether a specific drug is disproportionately associated with certain AEs compared to other drugs in the database. A 2&#x2009;&#x00D7;&#x2009;2 contingency table was used to calculate these measures, as shown <xref ref-type="table" rid="T1">Table&#x00A0;1</xref>. These methods were employed to assess the significance of adverse events associated with CsA and TAC in pediatric nephrotic syndrome patients compared to other drugs. Additionally, to address potential sources of bias, sensitivity analyses were conducted. First, reports were stratified by gender to explore potential differences in AE profiles between male and female patients.TAC. Second, to assess the robustness of the findings, the analysis was repeated without restricting the drug&#x0027;s role to the primary suspect. All statistical analyses were performed using R software (version 4.1.2).</p>
<table-wrap id="T1" position="float"><label>Table 1</label>
<caption><p>2&#x2009;&#x00D7;&#x2009;2 contingency table for disproportionality analysis.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="left"/>
<col align="left"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="left">Drug of interest (e.g., CsA, TAC)</th>
<th valign="top" align="left">All other drugs</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">AE of interest</td>
<td valign="top" align="center">a</td>
<td valign="top" align="center">b</td>
</tr>
<tr>
<td valign="top" align="left">All other AEs</td>
<td valign="top" align="center">c</td>
<td valign="top" align="center">d</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The disproportionality measures are calculated as follows: <inline-formula><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="IM1"><mml:mrow><mml:mi mathvariant="normal">PRR</mml:mi></mml:mrow><mml:mo>=</mml:mo><mml:mrow><mml:mrow><mml:mrow><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mrow><mml:mspace width="0.25em"/></mml:mrow><mml:mrow><mml:mrow><mml:mi mathvariant="normal">a</mml:mi></mml:mrow><mml:mo>/</mml:mo><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mrow><mml:mi mathvariant="normal">a</mml:mi><mml:mspace width="0.25em"/></mml:mrow><mml:mo>+</mml:mo><mml:mrow><mml:mspace width="0.25em"/><mml:mi mathvariant="normal">c</mml:mi></mml:mrow></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:mrow><mml:mrow><mml:mspace width="0.25em"/></mml:mrow></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow><mml:mo>/</mml:mo><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mrow><mml:mspace width="0.25em"/><mml:mi mathvariant="normal">b</mml:mi><mml:mo>/</mml:mo><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mrow><mml:mi mathvariant="normal">b</mml:mi><mml:mspace width="0.25em"/></mml:mrow><mml:mo>+</mml:mo><mml:mrow><mml:mspace width="0.25em"/><mml:mi mathvariant="normal">d</mml:mi></mml:mrow></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:mrow><mml:mrow><mml:mspace width="0.25em"/></mml:mrow></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:mrow><mml:mrow><mml:mspace width="0.25em"/></mml:mrow><mml:mo>;</mml:mo><mml:mrow><mml:mspace width="0.25em"/></mml:mrow><mml:mrow><mml:mi mathvariant="normal">ROR</mml:mi></mml:mrow><mml:mo>=</mml:mo><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mrow><mml:mspace width="0.25em"/></mml:mrow><mml:mrow><mml:mrow><mml:mi mathvariant="normal">a</mml:mi></mml:mrow><mml:mo>/</mml:mo><mml:mrow><mml:mi mathvariant="normal">c</mml:mi></mml:mrow></mml:mrow><mml:mrow><mml:mspace width="0.25em"/></mml:mrow></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow><mml:mo>/</mml:mo><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mrow><mml:mi mathvariant="normal">b</mml:mi><mml:mo>/</mml:mo><mml:mi mathvariant="normal">d</mml:mi></mml:mrow></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:mrow><mml:mo>;</mml:mo><mml:mrow><mml:mspace width="0.25em"/></mml:mrow><mml:mrow><mml:mrow><mml:mrow><mml:mi mathvariant="normal">RRR</mml:mi></mml:mrow><mml:mo>=</mml:mo><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mi mathvariant="normal">a</mml:mi></mml:mrow><mml:mo>/</mml:mo><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mrow><mml:mi mathvariant="normal">a</mml:mi></mml:mrow><mml:mspace width="0.25em"/><mml:mo>+</mml:mo><mml:mspace width="0.25em"/><mml:mrow><mml:mspace width="0.25em"/><mml:mi mathvariant="normal">b</mml:mi></mml:mrow></mml:mrow><mml:mo stretchy="false">)</mml:mo><mml:mo stretchy="false">)</mml:mo><mml:mrow><mml:mspace width="0.25em"/></mml:mrow></mml:mrow><mml:mo>/</mml:mo><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mi mathvariant="normal">c</mml:mi></mml:mrow><mml:mo>/</mml:mo><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mrow><mml:mi mathvariant="normal">c</mml:mi></mml:mrow><mml:mspace width="0.25em"/><mml:mo>+</mml:mo><mml:mspace width="0.25em"/><mml:mrow><mml:mi mathvariant="normal">d</mml:mi></mml:mrow></mml:mrow><mml:mo stretchy="false">)</mml:mo><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:mrow></mml:math></inline-formula>.</p>
</sec>
</sec>
<sec id="s3" sec-type="results"><label>3</label><title>Results</title>
<sec id="s3a"><label>3.1</label><title>Basic characteristics of adverse event reports</title>
<p>We retrieved a total of 1,063 adverse event reports related to pediatric nephrotic syndrome patients, of which 207 were primarily associated with CsA and 145 were primarily associated with TACCsATAC, as detailed in <xref ref-type="table" rid="T2">Table&#x00A0;2</xref>. In terms of gender distribution, 61.8&#x0025; of the CsA group were male and 35.3&#x0025; were female, while in the TAC group, 50.3&#x0025; were male and 44.8&#x0025; were female. Regarding age distribution, both CsA and TAC reports predominantly involved children aged 6&#x2013;12 years, accounting for 37.2&#x0025; and 35.2&#x0025; of cases, respectively. The geographical distribution of the reports showed that the majority of CsA-related adverse events were reported from Japan (57.0&#x0025;), whereas TAC-related reports were primarily from the United States (26.9&#x0025;), Canada (12.4&#x0025;), and China (11.0&#x0025;).</p>
<table-wrap id="T2" position="float"><label>Table 2</label>
<caption><p>Basic characteristics of adverse event reports related to CsA and TAC.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Characteristics</th>
<th valign="top" align="center">CsA</th>
<th valign="top" align="center">TAC</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">All AEs</td>
<td valign="top" align="center">207</td>
<td valign="top" align="center">145</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Gender</td>
</tr>
<tr>
<td valign="top" align="left">Males</td>
<td valign="top" align="center">128 (61.8)</td>
<td valign="top" align="center">73 (50.3)</td>
</tr>
<tr>
<td valign="top" align="left">Females</td>
<td valign="top" align="center">73 (35.3)</td>
<td valign="top" align="center">65 (44.8)</td>
</tr>
<tr>
<td valign="top" align="left">Not reported</td>
<td valign="top" align="center">6 (2.9)</td>
<td valign="top" align="center">7 (4.8)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Age groups</td>
</tr>
<tr>
<td valign="top" align="left">0&#x2013;2</td>
<td valign="top" align="center">35 (16.9)</td>
<td valign="top" align="center">17 (11.7)</td>
</tr>
<tr>
<td valign="top" align="left">3&#x2013;5</td>
<td valign="top" align="center">51 (24.6)</td>
<td valign="top" align="center">45 (31.0)</td>
</tr>
<tr>
<td valign="top" align="left">6&#x2013;12</td>
<td valign="top" align="center">77 (37.2)</td>
<td valign="top" align="center">51 (35.2)</td>
</tr>
<tr>
<td valign="top" align="left">13&#x2013;18</td>
<td valign="top" align="center">44 (21.3)</td>
<td valign="top" align="center">32 (22.1)</td>
</tr>
<tr>
<td valign="top" align="left">Not reported</td>
<td valign="top" align="center">0 (0.0)</td>
<td valign="top" align="center">0 (0.0)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Reporter country</td>
</tr>
<tr>
<td valign="top" align="left">Canada</td>
<td valign="top" align="center">7 (3.4)</td>
<td valign="top" align="center">18 (12.4)</td>
</tr>
<tr>
<td valign="top" align="left">China</td>
<td valign="top" align="center">4 (1.9)</td>
<td valign="top" align="center">16 (11.0)</td>
</tr>
<tr>
<td valign="top" align="left">France</td>
<td valign="top" align="center">6 (2.9)</td>
<td valign="top" align="center">15 (10.3)</td>
</tr>
<tr>
<td valign="top" align="left">India</td>
<td valign="top" align="center">4 (1.9)</td>
<td valign="top" align="center">12 (8.3)</td>
</tr>
<tr>
<td valign="top" align="left">Italy</td>
<td valign="top" align="center">6 (2.9)</td>
<td valign="top" align="center">6 (4.1)</td>
</tr>
<tr>
<td valign="top" align="left">Japan</td>
<td valign="top" align="center">118 (57.0)</td>
<td valign="top" align="center">7 (4.8)</td>
</tr>
<tr>
<td valign="top" align="left">United States</td>
<td valign="top" align="center">19 (9.2)</td>
<td valign="top" align="center">39 (26.9)</td>
</tr>
<tr>
<td valign="top" align="left">Germany</td>
<td valign="top" align="center">4 (1.9)</td>
<td valign="top" align="center">1 (0.7)</td>
</tr>
<tr>
<td valign="top" align="left">United Kingdom</td>
<td valign="top" align="center">3 (1.4)</td>
<td valign="top" align="center">5 (3.4)</td>
</tr>
<tr>
<td valign="top" align="left">Poland</td>
<td valign="top" align="center">6 (2.9)</td>
<td valign="top" align="center">4 (2.8)</td>
</tr>
<tr>
<td valign="top" align="left">Other countries</td>
<td valign="top" align="center">26 (12.6)</td>
<td valign="top" align="center">6 (4.1)</td>
</tr>
<tr>
<td valign="top" align="left">Not reported</td>
<td valign="top" align="center">4 (1.9)</td>
<td valign="top" align="center">16 (11.0)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3">Reporter year</td>
</tr>
<tr>
<td valign="top" align="left">2004&#x2013;2008</td>
<td valign="top" align="center">35 (16.9)</td>
<td valign="top" align="center">2 (1.4)</td>
</tr>
<tr>
<td valign="top" align="left">2009&#x2013;2013</td>
<td valign="top" align="center">46 (22.2)</td>
<td valign="top" align="center">35 (24.1)</td>
</tr>
<tr>
<td valign="top" align="left">2014&#x2013;2018</td>
<td valign="top" align="center">60 (29.0)</td>
<td valign="top" align="center">34 (23.4)</td>
</tr>
<tr>
<td valign="top" align="left">2019&#x2013;2023</td>
<td valign="top" align="center">60 (29.0)</td>
<td valign="top" align="center">70 (48.3)</td>
</tr>
<tr>
<td valign="top" align="left">2024</td>
<td valign="top" align="center">6 (2.9)</td>
<td valign="top" align="center">4 (2.8)</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3b"><label>3.2</label><title>Risk signal detection results</title>
<p>The background population used for disproportionality analysis comprised pediatric nephrotic syndrome patients (aged &#x2264;18 years) within the FAERS database, including reports for all medications. Reports that did not involve CsA or TAC served as the reference group. This approach allowed for a comparison of adverse events associated with CsA and TAC against those reported for a broader range of drugs in the FAERS database, ensuring robust signal detection. In pediatric nephrotic syndrome patients, we analyzed the risk of each adverse event associated with CsA or TAC, identified as the primary suspect drug, using the ROR, PRR, and RRR methods. <xref ref-type="table" rid="T3">Tables&#x00A0;3</xref>, <xref ref-type="table" rid="T4">4</xref> present the top 20 adverse events for each drug, ranked by the lower bound of the ROR 95&#x0025; confidence interval (CI), with all three signal detection methods indicating a significant risk. <xref ref-type="fig" rid="F1">Figures&#x00A0;1</xref>, <xref ref-type="fig" rid="F2">2</xref> show the risk mining results for AEs associated with the primary suspicion of CsA and TAC, respectively.</p>
<table-wrap id="T3" position="float"><label>Table 3</label>
<caption><p>Safety of CsA in pediatric nephrotic syndrome patients.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Adverse event</th>
<th valign="top" align="center">PRR</th>
<th valign="top" align="center">Chi_squared</th>
<th valign="top" align="center">RRR</th>
<th valign="top" align="center">ROR (95&#x0025; CI)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Nephropathy toxic</td>
<td valign="top" align="center">7.38</td>
<td valign="top" align="center">48.51</td>
<td valign="top" align="center">3.29</td>
<td valign="top" align="center">8.26 (4.21&#x2013;16.20)</td>
</tr>
<tr>
<td valign="top" align="left">Convulsion</td>
<td valign="top" align="center">18.61</td>
<td valign="top" align="center">23.68</td>
<td valign="top" align="center">4.20</td>
<td valign="top" align="center">19.41 (4.16&#x2013;90.53)</td>
</tr>
<tr>
<td valign="top" align="left">Urine output decreased</td>
<td valign="top" align="center">28.95</td>
<td valign="top" align="center">19.62</td>
<td valign="top" align="center">4.49</td>
<td valign="top" align="center">29.93 (3.66&#x2013;244.61)</td>
</tr>
<tr>
<td valign="top" align="left">Posterior reversible encephalopathy syndrome</td>
<td valign="top" align="center">6.20</td>
<td valign="top" align="center">29.73</td>
<td valign="top" align="center">3.08</td>
<td valign="top" align="center">6.70 (3.17&#x2013;14.14)</td>
</tr>
<tr>
<td valign="top" align="left">Blood creatinine increased</td>
<td valign="top" align="center">9.30</td>
<td valign="top" align="center">17.69</td>
<td valign="top" align="center">3.56</td>
<td valign="top" align="center">9.68 (2.95&#x2013;31.76)</td>
</tr>
<tr>
<td valign="top" align="left">Toxicity to various agents</td>
<td valign="top" align="center">6.43</td>
<td valign="top" align="center">23.06</td>
<td valign="top" align="center">3.13</td>
<td valign="top" align="center">6.83 (2.91&#x2013;16.00)</td>
</tr>
<tr>
<td valign="top" align="left">headache</td>
<td valign="top" align="center">5.41</td>
<td valign="top" align="center">24.85</td>
<td valign="top" align="center">2.91</td>
<td valign="top" align="center">5.80 (2.77&#x2013;12.15)</td>
</tr>
<tr>
<td valign="top" align="left">Tubulointerstitial nephritis</td>
<td valign="top" align="center">8.27</td>
<td valign="top" align="center">14.33</td>
<td valign="top" align="center">3.42</td>
<td valign="top" align="center">8.56 (2.55&#x2013;28.72)</td>
</tr>
<tr>
<td valign="top" align="left">Blood pressure increased</td>
<td valign="top" align="center">5.51</td>
<td valign="top" align="center">17.01</td>
<td valign="top" align="center">2.93</td>
<td valign="top" align="center">5.79 (2.41&#x2013;13.94)</td>
</tr>
<tr>
<td valign="top" align="left">Hypertrichosis</td>
<td valign="top" align="center">10.34</td>
<td valign="top" align="center">9.02</td>
<td valign="top" align="center">3.67</td>
<td valign="top" align="center">10.57 (2.04&#x2013;54.87)</td>
</tr>
<tr>
<td valign="top" align="left">Nephropathy</td>
<td valign="top" align="center">10.34</td>
<td valign="top" align="center">9.02</td>
<td valign="top" align="center">3.67</td>
<td valign="top" align="center">10.57 (2.04&#x2013;54.87)</td>
</tr>
<tr>
<td valign="top" align="left">Renal disorder</td>
<td valign="top" align="center">10.34</td>
<td valign="top" align="center">9.02</td>
<td valign="top" align="center">3.67</td>
<td valign="top" align="center">10.57 (2.04&#x2013;54.87)</td>
</tr>
<tr>
<td valign="top" align="left">Blood urea increased</td>
<td valign="top" align="center">16.54</td>
<td valign="top" align="center">8.18</td>
<td valign="top" align="center">4.11</td>
<td valign="top" align="center">16.85 (1.87&#x2013;151.54)</td>
</tr>
<tr>
<td valign="top" align="left">Immunosuppressant drug level increased</td>
<td valign="top" align="center">5.79</td>
<td valign="top" align="center">9.32</td>
<td valign="top" align="center">3.00</td>
<td valign="top" align="center">5.96 (1.87&#x2013;18.96)</td>
</tr>
<tr>
<td valign="top" align="left">Hypertension</td>
<td valign="top" align="center">3.24</td>
<td valign="top" align="center">14.65</td>
<td valign="top" align="center">2.26</td>
<td valign="top" align="center">3.45 (1.83&#x2013;6.52)</td>
</tr>
<tr>
<td valign="top" align="left">Dehydration</td>
<td valign="top" align="center">6.20</td>
<td valign="top" align="center">8.13</td>
<td valign="top" align="center">3.08</td>
<td valign="top" align="center">6.36 (1.78&#x2013;22.74)</td>
</tr>
<tr>
<td valign="top" align="left">Respiratory distress</td>
<td valign="top" align="center">6.89</td>
<td valign="top" align="center">6.95</td>
<td valign="top" align="center">3.21</td>
<td valign="top" align="center">7.04 (1.67&#x2013;29.69)</td>
</tr>
<tr>
<td valign="top" align="left">Nausea</td>
<td valign="top" align="center">3.16</td>
<td valign="top" align="center">9.70</td>
<td valign="top" align="center">2.23</td>
<td valign="top" align="center">3.31 (1.58&#x2013;6.92)</td>
</tr>
<tr>
<td valign="top" align="left">Seizure</td>
<td valign="top" align="center">4.96</td>
<td valign="top" align="center">6.61</td>
<td valign="top" align="center">2.80</td>
<td valign="top" align="center">5.08 (1.54&#x2013;16.81)</td>
</tr>
<tr>
<td valign="top" align="left">Eyelid oedema</td>
<td valign="top" align="center">8.27</td>
<td valign="top" align="center">5.81</td>
<td valign="top" align="center">3.42</td>
<td valign="top" align="center">8.41 (1.53&#x2013;46.26)</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T4" position="float"><label>Table 4</label>
<caption><p>Safety of TAC in pediatric nephrotic syndrome patients.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">Adverse event</th>
<th valign="top" align="center">PRR</th>
<th valign="top" align="center">Chi_squared</th>
<th valign="top" align="center">RRR</th>
<th valign="top" align="center">ROR (95&#x0025; CI)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Dystonia</td>
<td valign="top" align="center">63.31</td>
<td valign="top" align="center">49.90</td>
<td valign="top" align="center">6.67</td>
<td valign="top" align="center">67.93 (8.63&#x2013;534.86)</td>
</tr>
<tr>
<td valign="top" align="left">Kidney fibrosis</td>
<td valign="top" align="center">20.26</td>
<td valign="top" align="center">65.84</td>
<td valign="top" align="center">5.59</td>
<td valign="top" align="center">22.65 (8.16&#x2013;62.87)</td>
</tr>
<tr>
<td valign="top" align="left">Diabetic ketoacidosis</td>
<td valign="top" align="center">44.32</td>
<td valign="top" align="center">31.28</td>
<td valign="top" align="center">6.42</td>
<td valign="top" align="center">46.51 (5.68&#x2013;380.97)</td>
</tr>
<tr>
<td valign="top" align="left">Diabetes mellitus</td>
<td valign="top" align="center">16.88</td>
<td valign="top" align="center">28.07</td>
<td valign="top" align="center">5.33</td>
<td valign="top" align="center">17.81 (4.67&#x2013;67.95)</td>
</tr>
<tr>
<td valign="top" align="left">Tremor</td>
<td valign="top" align="center">12.66</td>
<td valign="top" align="center">17.36</td>
<td valign="top" align="center">4.89</td>
<td valign="top" align="center">13.17 (3.26&#x2013;53.25)</td>
</tr>
<tr>
<td valign="top" align="left">Off label use</td>
<td valign="top" align="center">2.81</td>
<td valign="top" align="center">69.89</td>
<td valign="top" align="center">2.25</td>
<td valign="top" align="center">4.49 (3.11&#x2013;6.49)</td>
</tr>
<tr>
<td valign="top" align="left">Pancytopenia</td>
<td valign="top" align="center">25.32</td>
<td valign="top" align="center">13.55</td>
<td valign="top" align="center">5.87</td>
<td valign="top" align="center">26.01 (2.89&#x2013;234.43)</td>
</tr>
<tr>
<td valign="top" align="left">Asthenia</td>
<td valign="top" align="center">12.66</td>
<td valign="top" align="center">10.23</td>
<td valign="top" align="center">4.89</td>
<td valign="top" align="center">12.99 (2.36&#x2013;71.60)</td>
</tr>
<tr>
<td valign="top" align="left">Drug level increased</td>
<td valign="top" align="center">7.91</td>
<td valign="top" align="center">10.19</td>
<td valign="top" align="center">4.07</td>
<td valign="top" align="center">8.16 (2.17&#x2013;30.76)</td>
</tr>
<tr>
<td valign="top" align="left">Renal tubular atrophy</td>
<td valign="top" align="center">7.91</td>
<td valign="top" align="center">10.19</td>
<td valign="top" align="center">4.07</td>
<td valign="top" align="center">8.16 (2.17&#x2013;30.76)</td>
</tr>
<tr>
<td valign="top" align="left">Nephrosclerosis</td>
<td valign="top" align="center">18.99</td>
<td valign="top" align="center">8.14</td>
<td valign="top" align="center">5.50</td>
<td valign="top" align="center">19.37 (2.00&#x2013;187.54)</td>
</tr>
<tr>
<td valign="top" align="left">Confusional state</td>
<td valign="top" align="center">6.33</td>
<td valign="top" align="center">6.20</td>
<td valign="top" align="center">3.67</td>
<td valign="top" align="center">6.48 (1.60&#x2013;26.21)</td>
</tr>
<tr>
<td valign="top" align="left">Pancreatitis acute</td>
<td valign="top" align="center">6.33</td>
<td valign="top" align="center">6.20</td>
<td valign="top" align="center">3.67</td>
<td valign="top" align="center">6.48 (1.60&#x2013;26.21)</td>
</tr>
<tr>
<td valign="top" align="left">Oral disorder</td>
<td valign="top" align="center">9.50</td>
<td valign="top" align="center">5.64</td>
<td valign="top" align="center">4.40</td>
<td valign="top" align="center">9.68 (1.60&#x2013;58.42)</td>
</tr>
<tr>
<td valign="top" align="left">Vision blurred</td>
<td valign="top" align="center">9.50</td>
<td valign="top" align="center">5.64</td>
<td valign="top" align="center">4.40</td>
<td valign="top" align="center">9.68 (1.60&#x2013;58.42)</td>
</tr>
<tr>
<td valign="top" align="left">Abdominal pain</td>
<td valign="top" align="center">4.03</td>
<td valign="top" align="center">7.85</td>
<td valign="top" align="center">2.85</td>
<td valign="top" align="center">4.18 (1.59&#x2013;10.97)</td>
</tr>
<tr>
<td valign="top" align="left">Product use issue</td>
<td valign="top" align="center">3.69</td>
<td valign="top" align="center">6.95</td>
<td valign="top" align="center">2.70</td>
<td valign="top" align="center">3.83 (1.48&#x2013;9.90)</td>
</tr>
<tr>
<td valign="top" align="left">Product use in unapproved Indication</td>
<td valign="top" align="center">2.30</td>
<td valign="top" align="center">10.46</td>
<td valign="top" align="center">1.96</td>
<td valign="top" align="center">2.51 (1.46&#x2013;4.33)</td>
</tr>
<tr>
<td valign="top" align="left">Hodgkin&#x0027;s disease</td>
<td valign="top" align="center">6.33</td>
<td valign="top" align="center">4.02</td>
<td valign="top" align="center">3.67</td>
<td valign="top" align="center">6.44 (1.29&#x2013;32.24)</td>
</tr>
<tr>
<td valign="top" align="left">Hyperkalaemia</td>
<td valign="top" align="center">6.33</td>
<td valign="top" align="center">4.02</td>
<td valign="top" align="center">3.67</td>
<td valign="top" align="center">6.44 (1.29&#x2013;32.24)</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="F1" position="float"><label>Figure 1</label>
<caption><p>Bubble plot of adverse events associated with cyclosporine use. AE, adverse event; ROR, reporting odds ratio; PRR, proportional reporting ratio; DE, represents the number of reports for a specific adverse event suspected to be primarily related to the drug of interest. For example, a DE of 9 means that cyclosporine has been reported as primarily suspected in 9 cases of a specific adverse event.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fped-12-1487441-g001.tif"/>
</fig>
<fig id="F2" position="float"><label>Figure 2</label>
<caption><p>Bubble plot of adverse events associated with tacrolimus use. AE, adverse event; ROR, reporting odds ratio; PRR, proportional reporting ratio; DE, represents the number of reports for a specific adverse event suspected to be primarily related to the drug of interest. For example, a DE of 9 means that tacrolimus has been reported as primarily suspected in 9 cases of a specific adverse event.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fped-12-1487441-g002.tif"/>
</fig>
<p>For CsA-related adverse events, nephropathy toxic (ROR&#x2009;&#x003D;&#x2009;8.26, 95&#x0025; CI: 4.21&#x2013;16.20) and urine output decreased (ROR&#x2009;&#x003D;&#x2009;29.93, 95&#x0025; CI: 3.66&#x2013;244.61) showed the strongest associations. Additionally, CsA use significantly increased the risk of convulsion (ROR&#x2009;&#x003D;&#x2009;19.41, 95&#x0025; CI: 4.16&#x2013;90.53) and blood creatinine increased (ROR&#x2009;&#x003D;&#x2009;9.68, 95&#x0025; CI: 2.95&#x2013;31.76). Other high-risk adverse events included posterior reversible encephalopathy syndrome, headache, tubulointerstitial nephritis, and blood pressure increased, all of which exhibited high ROR values. The PRR and RRR analyses also supported the association between CsA and these adverse reactions.</p>
<p>In adverse event reports related to TAC, dystonia (ROR&#x2009;&#x003D;&#x2009;67.93, 95&#x0025; CI: 8.63&#x2013;534.86) and kidney fibrosis (ROR&#x2009;&#x003D;&#x2009;22.65, 95&#x0025; CI: 8.16&#x2013;62.87) showed the strongest associations. Additionally, diabetic ketoacidosis (ROR&#x2009;&#x003D;&#x2009;46.51, 95&#x0025; CI: 5.68&#x2013;380.97) and diabetes mellitus (ROR&#x2009;&#x003D;&#x2009;17.81, 95&#x0025; CI: 4.67&#x2013;67.95) also significantly increased the risk during TAC use. Other high-risk adverse events include tremor, pancytopenia, increased drug level, and renal tubular atrophy, all of which exhibited high ROR values. The results from the PRR and RRR methods similarly supported the association between TAC and these adverse reactions.</p>
</sec>
<sec id="s3c"><label>3.3</label><title>Reported outcomes</title>
<p>The adverse event outcomes listed in <xref ref-type="table" rid="T5">Table&#x00A0;5</xref> were included based on their clinical relevance and actual reporting frequency in the FAERS database. These outcomes reflect the severity of the reported adverse events and provide important insights for clinicians and regulatory agencies. In pediatric nephrotic syndrome patients, the reported outcomes of adverse reactions associated with CsA and TAC predominantly involved &#x201C;other serious outcomes&#x201D; and &#x201C;hospitalization&#x201D; (including both initial and prolonged hospitalizations due to adverse reactions). As shown in <xref ref-type="fig" rid="F3">Figure&#x00A0;3</xref>, the CsA group reported 6 cases ofdeath and disability respectively, while the TAC group reported 1 case of these outcomes. Life-threatening adverse events were reported in 8 cases in the CsA group and 6 cases in the TAC group. Additionally, the CsA group reported 1 case of congenital anomaly.</p>
<table-wrap id="T5" position="float"><label>Table 5</label>
<caption><p>Common adverse reactions associated with CsA and TAC use.</p></caption>
<table frame="hsides" rules="groups">
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="left"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th valign="top" align="left">CsA</th>
<th valign="top" align="center"/>
<th valign="top" align="center">TAC</th>
<th valign="top" align="center"/>
</tr>
<tr>
<th valign="top" align="left">Adverse event</th>
<th valign="top" align="center">ROR (95&#x0025; CI)</th>
<th valign="top" align="left">Adverse event</th>
<th valign="top" align="center">ROR (95&#x0025; CI)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Nephropathy toxic</td>
<td valign="top" align="center">7.62 (3.33&#x2013;17.43)</td>
<td valign="top" align="left">Off label use</td>
<td valign="top" align="center">4.12 (3.01&#x2013;5.64)</td>
</tr>
<tr>
<td valign="top" align="left">Hypogammaglobulinaemia</td>
<td valign="top" align="center">4.95 (2.39&#x2013;10.24)</td>
<td valign="top" align="left">Kidney fibrosis</td>
<td valign="top" align="center">10.25 (3.72&#x2013;28.25)</td>
</tr>
<tr>
<td valign="top" align="left">Hypertension</td>
<td valign="top" align="center">2.27 (1.20&#x2013;4.28)</td>
<td valign="top" align="left">Drug ineffective for unapproved indication</td>
<td valign="top" align="center">2.38 (1.14&#x2013;4.97)</td>
</tr>
<tr>
<td valign="top" align="left">Proteinuria</td>
<td valign="top" align="center">2.42 (1.27&#x2013;4.60)</td>
<td valign="top" align="left">Pneumocystis jirovecii pneumonia</td>
<td valign="top" align="center">5.39 (2.10&#x2013;13.83)</td>
</tr>
<tr>
<td valign="top" align="left">Posterior reversible encephalopathy syndrome</td>
<td valign="top" align="center">4.46 (1.97&#x2013;10.12)</td>
<td valign="top" align="left">Therapy non-responder</td>
<td valign="top" align="center">2.44 (1.09&#x2013;5.44)</td>
</tr>
<tr>
<td valign="top" align="left">Agranulocytosis</td>
<td valign="top" align="center">2.10 (1.08&#x2013;4.07)</td>
<td valign="top" align="left">Product use issue</td>
<td valign="top" align="center">3.46 (1.39&#x2013;8.60)</td>
</tr>
<tr>
<td valign="top" align="left">Headache</td>
<td valign="top" align="center">3.77 (1.71&#x2013;8.31)</td>
<td valign="top" align="left">Weight increased</td>
<td valign="top" align="center">3.10 (1.22&#x2013;7.89)</td>
</tr>
<tr>
<td valign="top" align="left">Renal failure acute</td>
<td valign="top" align="center">4.62 (1.94&#x2013;11.02)</td>
<td valign="top" align="left">Cough</td>
<td valign="top" align="center">6.21 (1.86&#x2013;20.80)</td>
</tr>
<tr>
<td valign="top" align="left">Toxicity to various agents</td>
<td valign="top" align="center">3.66 (1.49&#x2013;8.97)</td>
<td valign="top" align="left">Diabetic ketoacidosis</td>
<td valign="top" align="center">21.74 (2.66&#x2013;177.50)</td>
</tr>
<tr>
<td valign="top" align="left">Kidney fibrosis</td>
<td valign="top" align="center">4.00 (1.54&#x2013;10.39)</td>
<td valign="top" align="left">Covid-19</td>
<td valign="top" align="center">4.62 (1.29&#x2013;16.51)</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="F3" position="float"><label>Figure 3</label>
<caption><p>Adverse event outcomes in pediatric nephrotic syndrome patients treated with cyclosporine and tacrolimus. CsA, cyclosporine; TAC, tacrolimus.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fped-12-1487441-g003.tif"/>
</fig>
</sec>
<sec id="s3d"><label>3.4</label><title>Sensitivity analysis</title>
<p>We conducted a sensitivity analysis across different genders in pediatric nephrotic syndrome patients. In male patients, CsA remained highly associated with nephropathy toxic (ROR&#x2009;&#x003D;&#x2009;15.19, 95&#x0025; CI: 5.49&#x2013;42.06) and posterior reversible encephalopathy syndrome (ROR&#x2009;&#x003D;&#x2009;16.49, 95&#x0025; CI: 5.37&#x2013;50.64). Additionally, there were significant associations with hypertension, headache, and proteinuria, as shown in <xref ref-type="fig" rid="F4">Figure&#x00A0;4</xref>. TAC continued to show a strong risk signal for kidney fibrosis (ROR&#x2009;&#x003D;&#x2009;27.15, 95&#x0025; CI: 8.49&#x2013;86.78). Furthermore, in male pediatric nephrotic syndrome patients, TAC was associated with an increased risk of cellulitis (ROR&#x2009;&#x003D;&#x2009;5.91, 95&#x0025; CI: 1.30&#x2013;26.97). Risks related to inappropriate drug use were also observed, including drug ineffective for unapproved indication (ROR&#x2009;&#x003D;&#x2009;4.55, 95&#x0025; CI: 1.30&#x2013;15.93) and off-label use (ROR&#x2009;&#x003D;&#x2009;5.17, 95&#x0025; CI: 3.11&#x2013;8.59), as illustrated in <xref ref-type="fig" rid="F5">Figure&#x00A0;5</xref>.</p>
<fig id="F4" position="float"><label>Figure 4</label>
<caption><p>Risk signals for cyclosporine in male pediatric nephrotic syndrome patients. ROR, reporting odds ratio.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fped-12-1487441-g004.tif"/>
</fig>
<fig id="F5" position="float"><label>Figure 5</label>
<caption><p>Risk signals for tacrolimus in male pediatric nephrotic syndrome patients. ROR, reporting odds ratio.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fped-12-1487441-g005.tif"/>
</fig>
<p>In female pediatric nephrotic syndrome patients, CsA exhibited the strongest risk signal for blood pressure increased (ROR&#x2009;&#x003D;&#x2009;23.97, 95&#x0025; CI: 2.76&#x2013;208.46), followed by toxicity to various agents (ROR&#x2009;&#x003D;&#x2009;9.67, 95&#x0025; CI: 2.36&#x2013;39.64). Additional significant associations were observed with nephropathy toxic (ROR&#x2009;&#x003D;&#x2009;6.83, 95&#x0025; CI: 2.10&#x2013;22.18), renal impairment (ROR&#x2009;&#x003D;&#x2009;4.79, 95&#x0025; CI: 1.50&#x2013;15.31), and headache (ROR&#x2009;&#x003D;&#x2009;5.94, 95&#x0025; CI: 1.55&#x2013;22.69), as presented in <xref ref-type="fig" rid="F6">Figure&#x00A0;6</xref>. TAC was strongly associated with dystonia (ROR&#x2009;&#x003D;&#x2009;60.73, 95&#x0025; CI: 7.62&#x2013;483.84) and diabetic ketoacidosis (ROR&#x2009;&#x003D;&#x2009;27.83, 95&#x0025; CI: 3.20&#x2013;242.46). Moreover, TAC showed significant risks for kidney fibrosis (ROR&#x2009;&#x003D;&#x2009;21.90, 95&#x0025; CI: 2.41&#x2013;199.31) and confusional state (ROR&#x2009;&#x003D;&#x2009;21.90, 95&#x0025; CI: 2.41&#x2013;199.31). There was also a potential for inappropriate use, such as off-label use (ROR&#x2009;&#x003D;&#x2009;4.21, 95&#x0025; CI: 2.37&#x2013;7.48), as depicted in <xref ref-type="fig" rid="F7">Figure&#x00A0;7</xref>.</p>
<fig id="F6" position="float"><label>Figure 6</label>
<caption><p>Risk signals for cyclosporine in female pediatric nephrotic syndrome patients. ROR, reporting odds ratio.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fped-12-1487441-g006.tif"/>
</fig>
<fig id="F7" position="float"><label>Figure 7</label>
<caption><p>Risk signals for tacrolimus in female pediatric nephrotic syndrome patients. ROR, reporting odds ratio.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="fped-12-1487441-g007.tif"/>
</fig>
<p>In a further analysis, we removed the restriction on the role of the drug as the primary suspect to explore the common adverse reactions associated with CsA and TAC use. The top 10 adverse reactions by frequency, all of which showed significant risk signals across the three signal detection methods, are presented in <xref ref-type="table" rid="T5">Table&#x00A0;5</xref>. CsA was primarily associated with nephropathy toxic, acute renal failure (reported in FAERS, clinically known as acute kidney injury), posterior reversible encephalopathy syndrome, hypertension, and headache, all of which displayed strong risk signals. TAC showed a strong association with diabetic ketoacidosis and kidney fibrosis, with significant risks also observed in cases of clinical misuse.</p>
</sec>
<sec id="s3e"><label>3.5</label><title>External validity</title>
<p>The external validity of these results is supported by several factors. First, the FAERS database includes reports from multiple countries, reflecting diverse clinical practices and patient populations. Second, the key findings, such as nephrotoxicity associated with CsA and metabolic disorders linked to TAC, are consistent with existing literature, suggesting reproducibility. Third, by leveraging spontaneous reports, this study captures real-world drug use patterns and safety profiles, offering insights that controlled trials may not fully address. Nevertheless, the inherent limitations of spontaneous reporting systems, such as reporting bias and underreporting, warrant caution in interpreting these findings.</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion"><label>4</label><title>Discussion</title>
<p>This study systematically evaluated the safety of CsA and TAC in pediatric nephrotic syndrome patients through an in-depth analysis of the FAERS database. Our findings indicate that CsA use is significantly associated with nephrotoxicity, particularly manifested as reduced urine output, elevated serum creatinine levels, and a high incidence of acute renal failure (reported in FAERS, clinically known as acute kidney injury). Previous studies have demonstrated that CsA induces nephrotoxicity by inhibiting calcineurin, leading to intracellular calcium homeostasis disruption, oxidative stress, and inflammatory responses in renal tubular epithelial cells (<xref ref-type="bibr" rid="B5">5</xref>). This prolonged cellular stress promotes the development of tubulointerstitial fibrosis, ultimately resulting in irreversible renal damage (<xref ref-type="bibr" rid="B15">15</xref>). Moreover, inhibition of cyclophilin chaperone function with ensuing endoplasmic reticulum (ER) stress and proapoptotic unfolded protein response (UPR) aggravates CsA toxicity, whereas pharmacological modulation of UPR holds potential to mitigate renal side effects of CsA (<xref ref-type="bibr" rid="B16">16</xref>). CsA may also exacerbate renal ischemia and damage by inducing vasoconstriction and reducing renal blood flow (<xref ref-type="bibr" rid="B17">17</xref>). Research indicates that CsA-induced hypertension is associated with sympathetic nervous system activation, which is more pronounced in heart transplant patients (<xref ref-type="bibr" rid="B18">18</xref>). Omega-3 fatty acids (3&#x2005;g/day) can lower blood pressure by reducing systemic vascular resistance (<xref ref-type="bibr" rid="B19">19</xref>), and nitroglycerin has been shown to counteract CsA-induced high systolic blood pressure to some extent (<xref ref-type="bibr" rid="B20">20</xref>). A study by Louhelainen M et al. found that CsA-induced myocardial ANP and connective tissue growth factor (CTGF) mRNA overexpression, RAS activation, NADPH oxidase induction, and NRF2 overexpression were prevented by the natural antioxidant lipoic acid (LA). LA also induced the mRNA expression of gamma-glutamylcysteine ligase, the rate-limiting enzyme in glutathione synthesis, and significantly increased hepatic cysteine and glutathione concentrations (<xref ref-type="bibr" rid="B21">21</xref>).</p>
<p>We also found a significant association between CsA and posterior reversible encephalopathy syndrome (PRES). Previous studies have reported similar associations (<xref ref-type="bibr" rid="B22">22</xref>&#x2013;<xref ref-type="bibr" rid="B24">24</xref>). Danish A et al. reported that in allogeneic stem cell transplant recipients, the incidence of CsA-induced neurotoxicity (CIN) could reach up to 13&#x0025; (<xref ref-type="bibr" rid="B25">25</xref>). The mechanism of PRES may involve CsA-induced hypertension and disruption of cerebrovascular autoregulation (<xref ref-type="bibr" rid="B26">26</xref>). Additional studies have suggested that the main factor associated with CsA neurotoxicity is systemic hypertension, though other factors such as CsA-induced vascular changes or hypoalbuminemia may also play a role, with intracranial hemorrhage potentially occurring due to related thrombocytopenia (<xref ref-type="bibr" rid="B27">27</xref>). Moreover, the clinical and imaging manifestations of CsA neurotoxicity appear to be similar to those of hypertensive encephalopathy (<xref ref-type="bibr" rid="B24">24</xref>). Regression analysis has shown that age &#x003C;6 years (OR 7.6, 95&#x0025; CI 1.6&#x2013;51.5; <italic>p</italic>&#x2009;&#x003D;&#x2009;0.007) and post-CsA hypertension (OR 6.3, 95&#x0025; CI 1.4&#x2013;35.4; <italic>p</italic>&#x2009;&#x003D;&#x2009;0.016) are significantly associated with CsA encephalopathy (<xref ref-type="bibr" rid="B28">28</xref>). Younger children are prone to more severe seizures during the acute phase, and are at higher risk of developing epilepsy and neuropsychiatric disorders in the future. Therefore, when using CsA, it is crucial to pay special attention to blood pressure management and early identification of neurological symptoms in pediatric patients to prevent severe neurological complications.</p>
<p>Compared to CsA, TAC exhibits different characteristics in terms of nephrotoxicity. Our study shows a significant increase in the risk of kidney fibrosis associated with TAC, potentially through a mechanism where TAC induces fibroblast-to-myofibroblast transition via a TGF-&#x03B2;-dependent pathway, contributing to renal fibrosis (<xref ref-type="bibr" rid="B29">29</xref>). Liu L et al. proved that TAC upregulates NORAD to compete with miR-136-5p, resulting in a decrease in miR-136-5p expression, which in turn activates the TGF-&#x03B2;1/smad3 pathway, ultimately leading to the aggravation of renal fibrosis (<xref ref-type="bibr" rid="B30">30</xref>). Although TAC is more effective in the short term for treating SRNS compared to CsA (<xref ref-type="bibr" rid="B7">7</xref>), long-term use may accelerate renal fibrosis, leading to the progression of chronic kidney disease (<xref ref-type="bibr" rid="B31">31</xref>). Furthermore, our study found a strong association between TAC and diabetic ketoacidosis, likely due to TAC&#x0027; toxic effects on pancreatic &#x03B2;-cells and inhibition of insulin secretion (<xref ref-type="bibr" rid="B32">32</xref>&#x2013;<xref ref-type="bibr" rid="B34">34</xref>). Studies have shown that both TAC and CsA inhibit calcineurin and nuclear factor of activated T cells (NFAT) function under high glucose and palmitate conditions, indicating that these drugs may induce &#x03B2;-cell dysfunction through shared pathways, with TAC having a more pronounced effect on &#x03B2;-cell function compared to CsA (<xref ref-type="bibr" rid="B35">35</xref>). This metabolic disorder risk is particularly significant in pediatric patients, as their endocrine systems are not yet fully developed, potentially resulting in lower tolerance to the drug. Other studies have shown that conversion from CsA to TAC in renal transplant patients led to an increase in fasting blood glucose levels from 101.7&#x2009;&#x00B1;&#x2009;18.5 to 107.4&#x2009;&#x00B1;&#x2009;21.3&#x2005;mg/dl (<italic>P</italic>&#x2009;&#x003D;&#x2009;.007) and an increase in glycated hemoglobin levels from 5.7&#x2009;&#x00B1;&#x2009;.8 to 6.0&#x2009;&#x00B1;&#x2009;1.2&#x0025; (<italic>P</italic>&#x2009;&#x003D;&#x2009;.016) (<xref ref-type="bibr" rid="B36">36</xref>).</p>
<p>TAC also demonstrated a strong association with dystonia; however, this potential adverse reaction has not been widely reported. In contrast, CsA has been previously reported to cause dystonia (<xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B38">38</xref>). Therefore, this adverse reaction may be underrecognized in clinical practice, but its severity warrants enhanced neurological monitoring during TAC therapy. Additionally, our study revealed a degree of inappropriate use of TAC in clinical practice, such as off-label use and use in unapproved indications. Therefore, it is recommended to strengthen education and management regarding TAC use in clinical practice to ensure its safe and effective application.</p>
<p>Sensitivity analysis results showed CsA tends to exhibit higher nephrotoxicity in males, which may be related to higher levels of oxidative stress and the effects of testosterone, factors that enhance the damage to renal tubules. TAC is more commonly associated with metabolic and neurological adverse events in females, possibly due to the influence of estrogen, gender differences in metabolic pathways, and immune system variations. For example, testosterone may enhance the nephrotoxicity of CsA because it may promote oxidative stress (<xref ref-type="bibr" rid="B39">39</xref>) and tubular damage (<xref ref-type="bibr" rid="B40">40</xref>). In contrast, estrogen has a certain protective effect on the metabolism of TAC, but it may also affect the metabolic pathways.</p>
<p>Despite the important clinical insights provided by this study, several limitations should be acknowledged. First, the voluntary reporting mechanism of the FAERS database may lead to reporting bias, and the lack of detailed information on dosage, the comorbidities and concomitant drugs and treatment duration could affect the accuracy of the results. Variations in reporting rates across countries may reflect differences in access to healthcare, diagnostic practices, regulatory frameworks, and pharmacovigilance systems. For instance, stricter post-marketing surveillance in some regions might lead to higher reporting rates, while limited access to healthcare in others could contribute to underreporting. Additionally, changes in prescribing patterns, such as the increasing preference for TAC over CsA due to its lower nephrotoxicity, may influence the observed safety profiles. These factors introduce potential bias and should be carefully considered when interpreting the results. Moreover, signals of disproportionate reporting, as detected in this study, do not establish causation and cannot be used to calculate incidence rates or make direct risk comparisons between drugs. Lastly, as we used secondary data, we did not account for a sufficient number of covariates, and did not conduct a more comprehensive sensitivity analysis. Additionally, we were unable to explore the dose-response relationship in depth. Therefore, these results should be considered as hypothesis-generating and require further validation through complementary research methodologies. Future research should incorporate prospective cohort studies and randomized controlled trials to more comprehensively assess the safety of CsA and TAC in pediatric nephrotic syndrome patients, incorporating demographic factors such as age groups, ethnicity, and comorbid conditions for a more thorough understanding.</p>
<p>Based on the findings, targeted risk minimization strategies are essential to enhance the safety of CsA and TAC in pediatric nephrotic syndrome patients. Regular monitoring of renal function, metabolic parameters, and neurological status should be implemented to enable early detection and intervention for adverse events. Individualized treatment plans, including adjustments to dosages and treatment durations based on patient-specific factors such as age, gender, and comorbidities, are crucial to minimizing risks. Additionally, increasing awareness among healthcare professionals about the potential adverse effects of these drugs and emphasizing adherence to evidence-based treatment guidelines can improve clinical outcomes. Strengthening pharmacovigilance systems to improve the accuracy and completeness of adverse event reporting and updating product labels to reflect emerging safety concerns are also recommended to ensure safer and more effective use of CsA and TAC.</p>
</sec>
<sec id="s5" sec-type="conclusions"><label>5</label><title>Conclusion</title>
<p>Both CsA and TAC can induce nephrotoxicity; however, CsA is associated with reduced urine output and elevated serum creatinine, likely related to hemodynamic factors (with a strong signal for hypertension), while TAC primarily induces renal fibrosis. Additionally, CsA may be linked to neurological damage, whereas TAC is associated with diabetic ketoacidosis and dystonia. Notably, TAC is more prone to inappropriate clinical use, such as off-label and unapproved indication use.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability"><title>Data availability statement</title>
<p>Publicly available datasets were analyzed in this study. This data can be found here: <ext-link ext-link-type="uri" xlink:href="https://openvigil.sourceforge.net">https://openvigil.sourceforge.net</ext-link>.</p>
</sec>
<sec id="s7" sec-type="ethics-statement"><title>Ethics statement</title>
<p>Ethical approval was not required for the study involving humans in accordance with the local legislation and institutional requirements. Written informed consent to participate in this study was not required from the participants or the participants&#x0027; legal guardians/next of kin in accordance with the national legislation and the institutional requirements.</p>
</sec>
<sec id="s8" sec-type="author-contributions"><title>Author contributions</title>
<p>YL: Data curation, Formal Analysis, Resources, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. CY: Formal Analysis, Writing &#x2013; review &#x0026; editing. YZ: Validation, Writing &#x2013; review &#x0026; editing. SD: Validation, Writing &#x2013; review &#x0026; editing. JZ: Funding acquisition, Investigation, Methodology, Supervision, Validation, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec id="s9" sec-type="funding-information"><title>Funding</title>
<p>The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.</p>
</sec>
<ack><title>Acknowledgments</title>
<p>We would like to thank the OpenVigil project team for providing access to the FAERS data through their platform, which made this study possible. We also appreciate the support and feedback from our colleagues, whose insights greatly contributed to the development of this research. Additionally, we are grateful for the valuable input from the reviewers and editors who helped refine this manuscript.</p>
</ack>
<sec id="s10" sec-type="COI-statement"><title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s11" sec-type="disclaimer"><title>Publisher&#x0027;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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