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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Transpl. Int.</journal-id>
<journal-title-group>
<journal-title>Transplant International</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Transpl. Int.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1432-2277</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">16075</article-id>
<article-id pub-id-type="doi">10.3389/ti.2026.16075</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Burden of infectious diseases in children during the first year after solid organ transplantation</article-title>
<alt-title alt-title-type="left-running-head">Rock et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/ti.2026.16075">10.3389/ti.2026.16075</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Rock</surname>
<given-names>Nathalie M.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3319135"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Frossard</surname>
<given-names>Jaromil</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Vandelden</surname>
<given-names>Christian</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sparta</surname>
<given-names>Giuseppina</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3443594"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>DiBernardo</surname>
<given-names>Stefano</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Mack</surname>
<given-names>Ines</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Parvex</surname>
<given-names>Paloma</given-names>
</name>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Balmer</surname>
<given-names>Christian</given-names>
</name>
<xref ref-type="aff" rid="aff8">
<sup>8</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Marx Berger</surname>
<given-names>Daniela</given-names>
</name>
<xref ref-type="aff" rid="aff9">
<sup>9</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Berger</surname>
<given-names>Christoph</given-names>
</name>
<xref ref-type="aff" rid="aff10">
<sup>10</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chehade</surname>
<given-names>Hassib</given-names>
</name>
<xref ref-type="aff" rid="aff11">
<sup>11</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Schuurmans</surname>
<given-names>Mac&#xe9;</given-names>
</name>
<xref ref-type="aff" rid="aff12">
<sup>12</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/238568"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Tschumi</surname>
<given-names>Sibylle</given-names>
</name>
<xref ref-type="aff" rid="aff13">
<sup>13</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Mueller</surname>
<given-names>Nicolas J.</given-names>
</name>
<xref ref-type="aff" rid="aff10">
<sup>10</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>McLin</surname>
<given-names>Val&#xe9;rie A.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>L&#x2019;Huillier</surname>
<given-names>Arnaud G.</given-names>
</name>
<xref ref-type="aff" rid="aff14">
<sup>14</sup>
</xref>
</contrib>
<on-behalf-of>the Swiss Transplant Cohort Study</on-behalf-of>
</contrib-group>
<aff id="aff1">
<label>1</label>
<institution>Pediatric Gastroenterology, Hepatology and Nutrition Unit, Division of Pediatric Specialties, Department of Pediatrics, Gynecology and Obstetrics, Swiss Pediatric Liver Center, University Hospitals of Geneva, University of Geneva</institution>, <city>Geneva</city>, <country country="CH">Switzerland</country>
</aff>
<aff id="aff2">
<label>2</label>
<institution>Swiss Transplant Cohort Study (STCS), University Hospital of Basel</institution>, <city>Basel</city>, <country country="CH">Switzerland</country>
</aff>
<aff id="aff3">
<label>3</label>
<institution>Transplant Infectious Diseases Unit, University Hospitals Geneva</institution>, <city>Geneva</city>, <country country="CH">Switzerland</country>
</aff>
<aff id="aff4">
<label>4</label>
<institution>Pediatric Nephrology, University Children&#x2019;s Hospital of Zurich</institution>, <city>Zurich</city>, <country country="CH">Switzerland</country>
</aff>
<aff id="aff5">
<label>5</label>
<institution>Pediatric Cardiology Service, Department of Woman-Mother-Child, Lausanne University Hospital</institution>, <city>Lausanne</city>, <country country="CH">Switzerland</country>
</aff>
<aff id="aff6">
<label>6</label>
<institution>Pediatric Infectious Diseases, University Children&#x2019;s Hospital of Basel, University of Basel</institution>, <city>Basel</city>, <country country="CH">Switzerland</country>
</aff>
<aff id="aff7">
<label>7</label>
<institution>Pediatric Nephrology, Division of Specialties, Department of Pediatrics, Gynecology and Obstetrics, University Hospitals of Geneva, University of Geneva</institution>, <city>Geneva</city>, <country country="CH">Switzerland</country>
</aff>
<aff id="aff8">
<label>8</label>
<institution>Pediatric Cardiology, University Children&#x2019;s Hospital of Zurich</institution>, <city>Zurich</city>, <country country="CH">Switzerland</country>
</aff>
<aff id="aff9">
<label>9</label>
<institution>Pediatric Nephrology, Children&#x2019;s Hospital of Eastern Switzerland</institution>, <city>St. Gallen</city>, <country country="CH">Switzerland</country>
</aff>
<aff id="aff10">
<label>10</label>
<institution>Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich</institution>, <city>Z&#xfc;rich</city>, <country country="CH">Switzerland</country>
</aff>
<aff id="aff11">
<label>11</label>
<institution>Pediatric Nephrology Service, Department of Woman-Mother-Child, Lausanne University Hospital</institution>, <city>Lausanne</city>, <country country="CH">Switzerland</country>
</aff>
<aff id="aff12">
<label>12</label>
<institution>Pulmonology, University Hospital Zurich</institution>, <city>Zurich</city>, <country country="CH">Switzerland</country>
</aff>
<aff id="aff13">
<label>13</label>
<institution>Division of Pediatric Nephrology, Department of Pediatrics, Inselspital, Bern University Hospital, University of Bern</institution>, <city>Bern</city>, <country country="CH">Switzerland</country>
</aff>
<aff id="aff14">
<label>14</label>
<institution>Pediatric Infectious Diseases Unit, Division of General Pediatrics, Department of Pediatrics, Gynecology and Obstetrics, University Hospitals of Geneva, University of Geneva</institution>, <city>Geneva</city>, <country country="CH">Switzerland</country>
</aff>
<author-notes>
<corresp id="c001">
<label>&#x2a;</label>Correspondence: Nathalie M. Rock, <email xlink:href="mailto:Nathalie.rock@hug.ch">Nathalie.rock@hug.ch</email>
</corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-05-22">
<day>22</day>
<month>05</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>39</volume>
<elocation-id>16075</elocation-id>
<history>
<date date-type="received">
<day>16</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>20</day>
<month>04</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>22</day>
<month>04</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Rock, Frossard, Vandelden, Sparta, DiBernardo, Mack, Parvex, Balmer, Marx Berger, Berger, Chehade, Schuurmans, Tschumi, Mueller, McLin and L&#x2019;Huillier.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Rock, Frossard, Vandelden, Sparta, DiBernardo, Mack, Parvex, Balmer, Marx Berger, Berger, Chehade, Schuurmans, Tschumi, Mueller, McLin and L&#x2019;Huillier</copyright-holder>
<license>
<ali:license_ref start_date="2026-05-22">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<p>Infections are a leading cause of morbidity and mortality in pediatric solid organ transplant recipients (SOT). Comprehensive data in this population is limited. We included pediatric SOT from the Swiss national cohort aged 0&#x2013;18 years prospectively from 2008 to 2022. Using standardized definitions, all clinically relevant infections during the first year after transplant were analyzed. Associations with age, organ type, and rejection episodes were assessed. A total of 285 pediatric SOT were included, with kidney (41%) and liver (37%) transplants being the most common. During the first-year post-transplant, 53% (151/285) of patients experienced at least one infection, totaling 360. The overall incidence was 1.36 infection/person/year. Viral infections predominated (53%), followed by bacterial (41%) and fungal infections (6%). Patients receiving liver and lung transplants had higher infection rates (1.91 and 2.53 per person-year, respectively). In multivariate analysis type of transplant and male sex remained associated with increased risk of infection. Viral infections were overrepresented in younger recipients, while bacterial infections were most frequent in the first 3&#xa0;months post-transplant. Pediatric SOT recipients face a substantial burden of infection. This underscores the need for specific prevention, early recognition, and coordinated management strategies to reduce infection-related morbidity.</p>
</abstract>
<abstract abstract-type="graphical">
<title>Graphical Abstract</title>
<p>
<fig>
<graphic xlink:href="ti-39-16075-abs.tif" position="anchor">
<alt-text content-type="machine-generated">Infographic summarizes infectious disease burden in children during the first year after solid organ transplantation, showing three hundred sixty total infections in two hundred eighty-five patients, with viral infections accounting for fifty-three percent, bacterial for forty-one percent, and fungal for six percent. Fifty-three percent had at least one infection in the first year. Key risk factors include lung and liver transplants, younger age, boys, and a peak of bacterial infections in the first three months. Conclusions highlight significant infection burden, unique pediatric vulnerabilities, and the need for tailored prevention and management strategies. Pie chart and branded logos are included for reference.</alt-text>
</graphic>
</fig>
</p>
</abstract>
<kwd-group>
<kwd>immunosuppression</kwd>
<kwd>infection</kwd>
<kwd>opportunistic infection</kwd>
<kwd>pediatric</kwd>
<kwd>solid organ transplant (SOT)</kwd>
<kwd>children transplantation</kwd>
<kwd>prophylaxis</kwd>
<kwd>PTLD</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. The Swiss Transplant Cohort Study is supported by the Swiss National Science Foundation (SNSF, <ext-link ext-link-type="uri" xlink:href="http://www.snf.ch">http://www.snf.ch</ext-link>), Unimedsuisse and the Transplant Centers.</funding-statement>
</funding-group>
<counts>
<fig-count count="5"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="57"/>
<page-count count="14"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Infections are not only a major cause of short- and long-term morbidity and mortality after solid organ transplantation (SOT) [<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>], but also an important cause of hospital admission and graft failure [<xref ref-type="bibr" rid="B3">3</xref>&#x2013;<xref ref-type="bibr" rid="B5">5</xref>]. The timeline of infections in the first year following SOT was first published more than 25 years ago: at this point, three different periods (0&#x2013;1, 1&#x2013;6 and &#x3e;6 months) associated with different infectious risks were described [<xref ref-type="bibr" rid="B6">6</xref>]. A recent analysis of the Swiss Transplant Cohort Study (STCS) highlighted the substantial burden of infections in adult SOT recipients, with 55% experiencing at least one event during the first post-transplant year, predominantly bacterial [<xref ref-type="bibr" rid="B7">7</xref>]. However, these results cannot be directly extrapolated to children, whose susceptibility to infection is shaped by developmental and environmental factors: (1) immune system immaturity, (2) limited prior pathogen exposure and adaptive immunity, (3) possible incomplete immunization, and (4) higher exposure in daycare and school settings. In children, infection remains the most common cause of early death after SOT and continues to affect the quality of life for several years thereafter [<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>]. To the best of our knowledge, no studies have systematically described the incidence and types of infectious complications in a large cohort of pediatric SOT recipients. Reports have generally focused on a single pathogen or on infections in a single organ transplant population. In a cohort of more than 2000 pediatric liver transplant recipients, more than half presented a serious post-transplant infection [<xref ref-type="bibr" rid="B8">8</xref>]. Similarly, infection is deemed responsible of 20% of deaths after pediatric kidney transplantation [<xref ref-type="bibr" rid="B9">9</xref>]. Therefore, a comprehensive multicenter analysis of post&#x2013;pediatric SOT infections across various organ types can offer valuable insight into the overall infection burden and facilitate comparisons between transplant groups.</p>
<p>This study aimed to characterize infection incidence during the first post-transplant year in pediatric SOT recipients within the STCS nationwide cohort and to identify associations between infection, age, organ type, and rejection episodes [<xref ref-type="bibr" rid="B10">10</xref>].</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>Materials and methods</title>
<sec id="s2-1">
<title>Study design</title>
<p>This is a prospective study nested in the cumulative recorded data of the STCS. All solid organ transplant recipients (SOT) of all ages transplanted in our country are prospectively enrolled within the STCS. The database, designed as a patient-case system, longitudinally captures organ- and patient-specific data, thus providing an ideal source of unbiased data. Clinical and laboratory information are collected at SOT, 6 and 12 months, and annually thereafter. At each visit, an infectious disease form is completed by an infectious disease physician. Regular monitoring and in-depth audits through review process of randomly selected patients are performed by the STCS Central Data Center.</p>
<p>Ethical approval was obtained from all participating centers. Written informed consent was provided by patients or their legal guardians to participate to the STCS registry, and the study was approved by the scientific committee The present analysis was approved by the STCS Scientific Committee.</p>
</sec>
<sec id="s2-2">
<title>Patients</title>
<p>All SOT (kidney, heart, liver, lung, multi-organ transplant recipients) fulfilling the following criteria were included in the current study: (1) age &#x3c;18 years at time of SOT; (2) enrolled in the STCS between the start of the registry (01.05.2008) and 31.12.2022, allowing at least 1&#xa0;year of follow-up. Patients were censored at the last complete infectious disease form, loss of follow-up, new transplantation, graft-loss or after 1&#xa0;year of follow-up, whatever came first.</p>
</sec>
<sec id="s2-3">
<title>Definitions</title>
<sec id="s2-3-1">
<title>Infections</title>
<p>Inpatient and outpatient infections were identified by pediatric infectious diseases physicians with experience in transplant infectious diseases, using electronic hospital records and external documentation, according to prespecified rigorous and standardized definitions developed by the STCS infectious diseases working group [<xref ref-type="bibr" rid="B7">7</xref>], and based on guidelines and recommendations from the American Society of Transplantation and the European Conference on Infection in Leukemia [<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>]. Clinically relevant infectious disease events (IDEs) included proven bacterial, probable/proven fungal, and probable/proven viral infections or syndromes; these are hereafter referred to as &#x201c;infections.&#x201d; Given the absence of a consensus definition for opportunistic pathogens, we used a list validated by the STCS infectious disease working group, including CMV, EBV, VZV, HHV6, HHV8, adenovirus, BK polyomavirus, <italic>Aspergillus</italic> spp., <italic>Pneumocystis, Zygomycetes, Microsporidia</italic>, <italic>Exophiala</italic>, <italic>Malassezia, Scedosporium, Trichophyton, Alternaria</italic> and <italic>Fusarium</italic> spp., <italic>Toxoplasma gondii, Cryptosporidium</italic> spp., <italic>Giardia lamblia</italic>, <italic>Leishmania</italic> spp., <italic>Strongyloides stercorales</italic>, Isospora belli, N<italic>ocardia</italic> spp., <italic>Listeria monocytogenes</italic>, <italic>Legionella</italic> spp., non-tuberculous mycobacteria.</p>
</sec>
<sec id="s2-3-2">
<title>Treatments</title>
<p>The immunosuppressive drugs were recorded at time of the transplantation (&#x2212;40 days, &#x2b;14 days). Antimicrobial prophylactic drugs are reported from the day of transplantation to the end of follow-up, they were managed according to institution-specific guidelines based on international recommendations. In absence of exact day for treatment initiation, the first day of the month was imputed. Individual vaccination data were not available in the STCS registry at the time of analysis. Although vaccination policies varied slightly between centers, most followed the Swiss Federal Vaccination Commission schedule [<xref ref-type="bibr" rid="B13">13</xref>], with serology-based catch-up vaccination in some centers [<xref ref-type="bibr" rid="B14">14</xref>].</p>
</sec>
<sec id="s2-3-3">
<title>EBV and CMV risk stratification</title>
<p>The EBV and CMV risk stratification was based on donor (D) and recipient (R) serostatus as follows: high risk: D&#x2b;/R-; low or intermediate risk: D&#x2b;/R&#x2b;, D-/R- or D-/R&#x2b;.</p>
</sec>
<sec id="s2-3-4">
<title>Compatibility and rejection</title>
<p>ABO incompatibility in liver transplantation and donor type in kidney transplantation were recorded, based on the rationale that ABO incompatibility and deceased donor transplantation in kidney recipients are associated with increased immunosuppression. HLA compatibility was not available in the data base. Rejection was defined as biopsy-proven rejection. Management followed organ-specific, center-dependent protocols. The association between infection and rejection was assessed in two directions: rejection occurring within 30 days after infection, considering the potential impact of infections (e.g., CMV) or reduction in immunosuppression; and infection occurring within 90 days after rejection, reflecting the increased infectious risk associated with intensified immunosuppressive therapy.</p>
</sec>
</sec>
<sec id="s2-4">
<title>Statistical analyses</title>
<p>Baseline characteristics were summarized as counts (percentages) for categorical variables and medians (interquartile range) for continuous variables. Cumulative incidence of first infection was estimated using competing risk methods, and incidence rates expressed per patient-year. Death, graft loss, and re-transplantation were considered as competing events. Incidence rates were calculated accounting for follow-up time using a Poisson generalized linear model, with the log of follow-up time included as an offset. Multivariable generalized linear and cause-specific hazard models identified risk factors adjusted for relevant variables. Detailed methods are available in <xref ref-type="sec" rid="s12">Supplementary Material 1</xref> [<xref ref-type="bibr" rid="B15">15</xref>&#x2013;<xref ref-type="bibr" rid="B19">19</xref>].</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec id="s3-1">
<title>Baseline characteristics</title>
<p>Out of 8267 adult and pediatric patients transplanted in Switzerland during the study period and included in the STCS, 285 patients met the inclusion criteria and were included in the dataset (<xref ref-type="sec" rid="s12">Supplementary Figure 1</xref>). The baseline characteristics of the cohort are presented in <xref ref-type="table" rid="T1">Table 1</xref>. Kidney and liver transplantation were the most common, representing 41% (116/285) and 37% (107/285) of all SOT. Liver transplant recipients were the youngest, with a median age at transplant of 1.7 years (IQR 0.8&#x2013;9.7) whereas lung transplant recipients were the oldest with a median age 15.0 years (IQR 14.0&#x2013;17.3). Three patients received combined liver-kidney transplants.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Baseline characteristics of pediatric organ transplant recipients included in the study.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Transplanted organ<break/>Number of patients</th>
<th align="center">Kidney n &#x3d; 116</th>
<th align="center">Liver n &#x3d; 107</th>
<th align="center">Lung n &#x3d; 14</th>
<th align="center">Heart n &#x3d; 45</th>
<th align="center">Combined n &#x3d; 3</th>
<th align="center">Overall n &#x3d; 285</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Recipient age at SOT (yrs), median (IQR)</td>
<td align="center">12.4 (5.7&#x2013;16.4)</td>
<td align="center">1.7 (0.8&#x2013;9.7)</td>
<td align="center">15.0 (14.0&#x2013;17.3)</td>
<td align="center">7.8 (1.5&#x2013;14.1)</td>
<td align="center">10.4 (2.4&#x2013;11.6)</td>
<td align="center">8.6 (1.8&#x2013;15.1)</td>
</tr>
<tr>
<td colspan="7" align="left">Recipient age category, n (%)</td>
</tr>
<tr>
<td align="left">&#x2003;&#x3c;1&#xa0;year</td>
<td align="center">8 (6.9)</td>
<td align="center">56 (52.3)</td>
<td align="center">0 (0.0)</td>
<td align="center">12 (26.7)</td>
<td align="center">0 (0.0)</td>
<td align="center">76 (26.7)</td>
</tr>
<tr>
<td align="left">&#x2003;1&#x2013;4.99&#xa0;years</td>
<td align="center">22 (19.0)</td>
<td align="center">16 (15.0)</td>
<td align="center">1 (7.1)</td>
<td align="center">8 (17.8)</td>
<td align="center">1 (33.3)</td>
<td align="center">48 (16.8)</td>
</tr>
<tr>
<td align="left">&#x2003;5&#x2013;11.99&#xa0;years</td>
<td align="center">30 (25.9)</td>
<td align="center">14 (13.1)</td>
<td align="center">2 (14.3)</td>
<td align="center">11 (24.4)</td>
<td align="center">2 (66.7)</td>
<td align="center">59 (20.7)</td>
</tr>
<tr>
<td align="left">&#x2003;12&#x2013;17.99&#xa0;years</td>
<td align="center">56 (48.3)</td>
<td align="center">21 (19.6)</td>
<td align="center">11 (78.6)</td>
<td align="center">14 (31.1)</td>
<td align="center">0 (0.0)</td>
<td align="center">102 (35.8)</td>
</tr>
<tr>
<td align="left">Recipient sex (male), n (%)</td>
<td align="center">67 (57.8)</td>
<td align="center">61 (57.0)</td>
<td align="center">6 (42.9)</td>
<td align="center">14 (31.1)</td>
<td align="center">1 (33.3)</td>
<td align="center">149 (52.3)</td>
</tr>
<tr>
<td align="left">Previous transplant history, n (%)</td>
<td align="center">7 (6.0)</td>
<td align="center">2 (1.9)</td>
<td align="center">0 (0.0)</td>
<td align="center">0 (0.0)</td>
<td align="center">1 (33.3)</td>
<td align="center">10 (3.5)</td>
</tr>
<tr>
<td align="left">Donor age at donation (yrs), median (IQR)</td>
<td align="center">38.5 (25.0&#x2013;45.0)</td>
<td align="center">22.0 (12.0&#x2013;43.0)</td>
<td align="center">34.0 (25.0&#x2013;41.0)</td>
<td align="center">9.0 (2.0&#x2013;24.0)</td>
<td align="center">26.0 (10.0&#x2013;44.0)</td>
<td align="center">32.0 (16&#x2013;43.0)</td>
</tr>
<tr>
<td align="left">Donor sex (male), n (%)</td>
<td align="center">67 (57.8)</td>
<td align="center">58 (54.2)</td>
<td align="center">7 (50.0)</td>
<td align="center">16 (35.6)</td>
<td align="center">1 (33.3)</td>
<td align="center">149 (52.3)</td>
</tr>
<tr>
<td colspan="7" align="left">CMV risk stratification, n (%)</td>
</tr>
<tr>
<td align="left">&#x2003;High risk</td>
<td align="center">44 (38.3)</td>
<td align="center">14 (13.6)</td>
<td align="center">4 (28.6)</td>
<td align="center">15 (33.3)</td>
<td align="center">0 (0.0)</td>
<td align="center">77 (27.5)</td>
</tr>
<tr>
<td align="left">&#x2003;Low or intermediate risk</td>
<td align="center">71 (61.7)</td>
<td align="center">89 (86.4)</td>
<td align="center">10 (71.4)</td>
<td align="center">30 (66.7)</td>
<td align="center">3 (100.0)</td>
<td align="center">203 (72.5)</td>
</tr>
<tr>
<td colspan="7" align="left">EBV risk stratification, n (%)</td>
</tr>
<tr>
<td align="left">&#x2003;High risk</td>
<td align="center">42 (36.5)</td>
<td align="center">40 (38.5)</td>
<td align="center">2 (16.7)</td>
<td align="center">13 (29.5)</td>
<td align="center">1 (33.3)</td>
<td align="center">98 (35.3)</td>
</tr>
<tr>
<td align="left">&#x2003;Low or intermediate risk</td>
<td align="center">73 (63.5)</td>
<td align="center">64 (61.5)</td>
<td align="center">10 (83.3)</td>
<td align="center">31 (70.5)</td>
<td align="center">2 (66.7)</td>
<td align="center">180 (64.7)</td>
</tr>
<tr>
<td colspan="7" align="left">Induction drugs</td>
</tr>
<tr>
<td align="left">&#x2003;Basiliximab, n (%)</td>
<td align="center">71 (61.2)</td>
<td align="center">92 (86.0)</td>
<td align="center">12 (85.7)</td>
<td align="center">13 (28.9)</td>
<td align="center">3 (100.0)</td>
<td align="center">191 (67.0)</td>
</tr>
<tr>
<td align="left">&#x2003;ATG, n (%)</td>
<td align="center">2 (1.7)</td>
<td align="center">1 (0.9)</td>
<td align="center">0 (0.0)</td>
<td align="center">30 (66.7)</td>
<td align="center">2 (66.7)</td>
<td align="center">35 (12.3)</td>
</tr>
<tr>
<td colspan="7" align="left">Immunosuppressive drugs<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</td>
</tr>
<tr>
<td align="left">&#x2003;MMF n (%)</td>
<td align="center">113 (97.4)</td>
<td align="center">15 (14.0)</td>
<td align="center">14 (100.0)</td>
<td align="center">40 (88.9)</td>
<td align="center">3 (100.0)</td>
<td align="center">185 (64.9)</td>
</tr>
<tr>
<td align="left">&#x2003;TAC, n (%)</td>
<td align="center">79 (68.1)</td>
<td align="center">106 (99.1)</td>
<td align="center">5 (35.7)</td>
<td align="center">24 (53.3)</td>
<td align="center">1 (33.3)</td>
<td align="center">215 (75.4)</td>
</tr>
<tr>
<td align="left">&#x2003;CsA, n (%)</td>
<td align="center">40 (34.5)</td>
<td align="center">3 (2.8)</td>
<td align="center">10 (71.4)</td>
<td align="center">20 (44.4)</td>
<td align="center">1 (33.3)</td>
<td align="center">74 (26.0)</td>
</tr>
<tr>
<td align="left">&#x2003;GC, n (%)</td>
<td align="center">113 (97.4)</td>
<td align="center">78 (72.9)</td>
<td align="center">14 (100.0)</td>
<td align="center">44 (97.8)</td>
<td align="center">3 (100.0)</td>
<td align="center">252 (88.4)</td>
</tr>
<tr>
<td align="left">&#x2003;Other, n (%)</td>
<td align="center">4 (3.4)</td>
<td align="center">1 (0.9)</td>
<td align="center">1 (7.1)</td>
<td align="center">7 (15.6)</td>
<td align="center">1 (0.0)</td>
<td align="center">14 (5)</td>
</tr>
<tr>
<td colspan="7" align="left">Outcome<xref ref-type="table-fn" rid="Tfn2">
<sup>b</sup>
</xref>, n (%)</td>
</tr>
<tr>
<td align="left">&#x2003;Death (1 year)</td>
<td align="center">0 (0.0)</td>
<td align="center">5 (4.7)</td>
<td align="center">2 (14.3)</td>
<td align="center">2 (4.4)</td>
<td align="center">2 (66.7)</td>
<td align="center">11 (3.9)</td>
</tr>
<tr>
<td align="left">&#x2003;Dropout (1 year)</td>
<td align="center">1 (0.9)</td>
<td align="center">0 (0.0)</td>
<td align="center">0 (0.0)</td>
<td align="center">0 (0.0)</td>
<td align="center">0 (0.0)</td>
<td align="center">1 (0.4)</td>
</tr>
<tr>
<td align="left">&#x2003;End follow-up (&#x3c;1 year)</td>
<td align="center">2 (1.7)</td>
<td align="center">2 (1.9)</td>
<td align="center">0 (0.0)</td>
<td align="center">2 (4.4)</td>
<td align="center">0 (0.0)</td>
<td align="center">6 (2.1)</td>
</tr>
<tr>
<td align="left">&#x2003;Graft loss, PNF (1 year)</td>
<td align="center">3 (2.6)</td>
<td align="center">3 (2.8)</td>
<td align="center">2 (14.3)</td>
<td align="center">0 (0.0)</td>
<td align="center">0 (0.0)</td>
<td align="center">8 (2.8)</td>
</tr>
<tr>
<td colspan="7" align="left">Number of infections (1year), n (%)</td>
</tr>
<tr>
<td align="left">&#x2003;0</td>
<td align="center">67 (57.8)</td>
<td align="center">36 (33.6)</td>
<td align="center">5 (35.7)</td>
<td align="center">24 (53.3)</td>
<td align="center">2 (66.7)</td>
<td align="center">134 (47.0)</td>
</tr>
<tr>
<td align="left">&#x2003;1</td>
<td align="center">28 (24.1)</td>
<td align="center">23 (21.5)</td>
<td align="center">3 (21.4)</td>
<td align="center">12 (26.7)</td>
<td align="center">1 (33.3)</td>
<td align="center">67 (23.5)</td>
</tr>
<tr>
<td align="left">&#x2003;2</td>
<td align="center">9 (7.8)</td>
<td align="center">18 (16.8)</td>
<td align="center">3 (21.4)</td>
<td align="center">8 (17.8)</td>
<td align="center">0 (0.0)</td>
<td align="center">38 (13.3)</td>
</tr>
<tr>
<td align="left">&#x2003;3&#x2b;</td>
<td align="center">12 (10.3)</td>
<td align="center">30 (28.0)</td>
<td align="center">3 (21.4)</td>
<td align="center">1 (2.2)</td>
<td align="center">0 (0.0)</td>
<td align="center">46 (16.1)</td>
</tr>
<tr>
<td align="left">Infections incidence rate<xref ref-type="table-fn" rid="Tfn2">
<sup>b</sup>
</xref>
</td>
<td align="center">1.00 (0.82; 1.19)</td>
<td align="center">1.91 (1.65; 2.19)</td>
<td align="center">2.53 (1.68; 3.62)</td>
<td align="center">0.74 (0.51; 1.03)</td>
<td align="center">-</td>
<td align="center">1.36 (1.22; 1.51)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>SOT, solid organ transplant; ATG, anti-thymocyte globulin; IQR, interquartile range; CMV, cytomegalovirus; EBV, Epstein-Barr virus; MMF, mycophenolate mofetil; TAC, tacrolimus; CsA, cyclosporine; GC, glucocorticoids.</p>
</fn>
<fn id="Tfn1">
<label>
<sup>a</sup>
</label>
<p>All immunosuppressive drugs recorded (within 14 days after and 30 days before transplantation).</p>
</fn>
<fn id="Tfn2">
<label>
<sup>b</sup>
</label>
<p>Censored after graft losses, infections incidence rate : infection/patient/year PNF: Primary non Function.</p>
</fn>
<fn>
<p>CMV/EBV risk stratification based on donor (D) and recipient (R) serostatus: high risk: D&#x2b;/R-; low or intermediate risk: D&#x2b;/R&#x2b;, D-/R- or D-/R&#x2b;.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>During the study follow-up, twelve patients died (4%). Graft loss occurred in eight (3%), leading to retransplantation in six (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<p>Immunosuppressive regimens per organ at baseline and throughout the first year are detailed in <xref ref-type="table" rid="T1">Table 1</xref> and in <xref ref-type="sec" rid="s12">Supplementary Figure 2</xref>.</p>
<p>Prophylactic strategies are shown in <xref ref-type="sec" rid="s12">Supplementary Figure 3</xref>. Prophylaxis against <italic>Pneumocystis jirovecii</italic> was given to 94% (267/285) for a median of 348 days (IQR 186&#x2013;261). Additionally, 73% (207/285) received antiviral prophylaxis for a median of 185 days (IQR 116&#x2013;288), mainly (val)ganciclovir in 68% (194/285). Antifungal prophylaxis was used in 17% (48/285), mostly in lung or combined transplant recipients.</p>
</sec>
<sec id="s3-2">
<title>Infectious diseases events</title>
<p>Amongst the 285 patients included in the study, 53% (n &#x3d; 151) presented at least one infection during the first year after SOT. A total of 360 infections were documented; 16% of patients had &#x2265;3 events (<xref ref-type="table" rid="T1">Table 1</xref>) and 29% at least 2 infectious events. The infection incidence rate was 1.36 infection/patients/year (95% confidence interval [CI]: 1.22&#x2013;1.51).</p>
<p>The breakdown of infections between organs is depicted in <xref ref-type="fig" rid="F1">Figure 1a</xref>. Patients after lung and liver transplantation exhibited the highest incidence of infection (2.53 [95%CI: 1.68&#x2013;3.62] and 1.91 [95%CI: 1.61&#x2013;2.19], respectively) and heart transplants the lowest (0.74 [95%CI: 0.51&#x2013;1.03]). The cumulative incidence of infection significantly differed between organs (p &#x3d; 0.001) (<xref ref-type="fig" rid="F2">Figure 2a</xref>). Among, the three combined transplants, one gastrointestinal infection with multiple bacteria was observed.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Breakdown of infections between <bold>(a)</bold> organs <bold>(b)</bold> age groups. All organs include 1 infection from combined transplant not displayed in the Panel <bold>(a)</bold>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="ti-39-16075-g001.tif">
<alt-text content-type="machine-generated">Panel a displays a step plot showing cumulative event percentages over 365 days for four organ types&#x2014;kidney, liver, lung, and heart&#x2014;with significant differences (Gray&#x27;s test p=0.001). Panel b presents a similar analysis by age groups, with no significant difference between groups (Gray&#x27;s test p=0.5), and color-coded lines corresponding to age categories from birth to nearly 18 years.</alt-text>
</graphic>
</fig>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Cumulative incidence of infections between <bold>(a)</bold> organs <bold>(b)</bold> age groups. All organs include 1 infection from combined transplant taken in consideration for the gray test.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="ti-39-16075-g002.tif">
<alt-text content-type="machine-generated">Stacked bar chart visualization with two panels compares proportions of bacterial, fungal, and viral infections in pediatric transplant recipients. Panel a groups by organs (kidney, liver, lung, heart, all organs), while panel b groups by age (0 to 0.99 years, 1 to 4.99 years, 5 to 11.99 years, 12 to 17.99 years, all ages), showing that viral infections predominate overall, with variation by organ and age group. Color key: red for bacteria, green for fungi, blue for virus. Percentages and counts are labeled within each segment.</alt-text>
</graphic>
</fig>
<p>The distribution of infection among age group is presented in <xref ref-type="fig" rid="F1">Figure 1b</xref>. Sixty-four percent of patients &#x3c;1 year of age presented with at least one infection during the first year after SOT (49/76), compared to 54% (26/48), 46% (27/59) and 48% (49/102) for those between 1 and &#x3c;5, between 5 and &#x3c;12, and between 12 and &#x3c; 18 years, respectively. Amongst patients aged &#x3c;1 year at time of transplant, the infection incidence rate was 2.41 (95% CI: 2.07&#x2013;2.79), compared to 0.96 (95% CI: 0.70&#x2013;1.27), 0.84 (95% CI: 0.62&#x2013;1.11) and 1.06 (95% CI: 0.86&#x2013;1.28) in those between 1 and &#x3c;5, between 5 and &#x3c;12, and between 12 and &#x3c;18 years, respectively. The cumulative incidence of infection is described in <xref ref-type="fig" rid="F2">Figure 2b</xref>.</p>
<p>Forty-two patients with living-donor kidney transplants experienced 53 infections (1.26 infections per patient), compared with 58 infections among 74 patients with deceased-donor transplants (0.78 infections per patient).</p>
</sec>
<sec id="s3-3">
<title>Burden of infectious diseases events</title>
<p>Amongst the 360 infections; 53% were caused by viruses (n &#x3d; 189), followed by bacteria (41% n &#x3d; 149]) and fungi (6% [n &#x3d; 22]) (<xref ref-type="fig" rid="F1">Figure 1</xref>).</p>
<sec id="s3-3-1">
<title>Viral infections</title>
<p>Amongst the 189 viral infections, proven infections were documented in 110 (58%), probable infections in 69 (37%), and viral syndromes in 10 (5%) cases. Respiratory viruses predominated, followed by CMV (13%, 24/189) of all viral infections (<xref ref-type="fig" rid="F3">Figure 3a</xref>; <xref ref-type="sec" rid="s12">Supplementary Table 1a</xref>). Sixty percent of viral infections occurred in liver transplant recipients (113/189). Respiratory and gastrointestinal systems were most affected.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>
<bold>(a)</bold> Causal Infectious agent in bacterial, fungal and viral infections by organ. <bold>(b)</bold> Infectious site of bacterial, fungal and viral infections by organ.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="ti-39-16075-g003.tif">
<alt-text content-type="machine-generated">Grouped stacked bar charts compare infection types and infection sites for kidney, liver, lung, and heart. Panel a visualizes the percentage of bacterial, fungal, and viral infections by organism type. Panel b shows the distribution of infections by infection site, with color-coded legends for microorganism categories and infection sites.</alt-text>
</graphic>
</fig>
<p>Around half of the viral infections occurred in children &#x3c;1&#xa0;year at SOT (49% [93/189]) (<xref ref-type="sec" rid="s12">Supplementary Table 1b</xref>). Twelve EBV infections occurred in 10 patients, half of whom were stratified as EBV high risk at transplantation. Four patients developed post-transplant lymphoproliferative disorder (PTLD) between 0 and 160 days after EBV infection. Additionally, 27 CMV infections were recorded in 25 patients, including 15 stratified as high risk at transplant. Most CMV episodes (19/27) occurred in the absence of antiviral prophylaxis, whereas 30% (8/27) were breakthrough episodes.</p>
</sec>
<sec id="s3-3-2">
<title>Bacterial infections</title>
<p>Amongst the 149 bacterial infections, <italic>E. coli</italic> was the most commonly detected pathogen in 17% of cases (25/149), followed by <italic>Clostridium</italic> spp. (13% [19/149]) and <italic>Pseudomonas</italic> spp. (13% [19/149]) (<xref ref-type="fig" rid="F3">Figure 3a</xref>; <xref ref-type="sec" rid="s12">Supplementary Table 1a</xref>). A total of 45% (68/149) of bacterial infections were caused by Gram-negative organisms. Most cases of bacterial infections occurred in liver (42% [62/149]) and kidney (40% [60/149]) transplant recipients. Around half of the bacterial infections occurred in children &#x3c;1&#xa0;year at SOT (47% [70/149]) (<xref ref-type="sec" rid="s12">Supplementary Tables 1a,b</xref>). Urinary tract infections predominated in kidney recipients, and respiratory infections in lung and heart recipients.</p>
<p>Thirteen patients (liver [n &#x3d; 6], kidney [n &#x3d; 6]), lung [n &#x3d; 1] transplant recipients) experienced at least one infection caused by a multi-drug resistant (MDR) bacteria, totaling 19 episodes. Of the 19 episodes of infections caused by MDR bacteria, the most common organisms were MDR <italic>Enterobacter</italic> spp. (n &#x3d; 7) and <italic>E. coli</italic> spp. (n &#x3d; 6). Other identified MDR bacteria were <italic>Pseudomonas</italic> spp. (n &#x3d; 3), <italic>Klebsiella</italic> spp. (n &#x3d; 2) and <italic>Acinetobacter</italic> spp (n &#x3d; 1). No carbapenemase-producing Enterobacterales (CPE) or methicillin-resistant <italic>Staphylococcus aureus</italic> (MRSA) were identified.</p>
</sec>
<sec id="s3-3-3">
<title>Fungal infections</title>
<p>Amongst the 22 fungal infections, proven infection was documented in 16 (73%), the remaining being documented as probable fungal infection. The most frequently observed pathogen was <italic>Candida</italic> albicans, representing 59% (13/22) of fungal infections (<xref ref-type="fig" rid="F3">Figure 3a</xref>; <xref ref-type="sec" rid="s12">Supplementary Tables 1a,b</xref>). Death occurred in 3/22 cases (13.6%) 2 candidas and one other fungi, none of which were receiving antifungal prophylaxis, while 4/22 infections (18.2%) occurred despite prophylaxis.</p>
</sec>
<sec id="s3-3-4">
<title>Vaccine-preventable pathogens</title>
<p>Among 360 infections, 27 were attributed to vaccine-preventable pathogens (6%). Of these, 12 infections were caused by rotavirus, seven by influenza, six by varicella-zoster virus, one by <italic>Haemophilus</italic> influenzae type b and one by hepatitis B virus (donor-derived).</p>
</sec>
<sec id="s3-3-5">
<title>Opportunistic pathogens</title>
<p>Among 360 infections, 83 (23%) were secondary to opportunistic pathogens. These pathogens were mostly viruses (93% [77/83]), such as CMV (n &#x3d; 24), adenoviruses (n &#x3d; 16), HHV6 (n &#x3d; 13), and BK virus (n &#x3d; 10), followed by EBV (n &#x3d; 8) and VZV n &#x3d; 6). Other opportunistic pathogens were rare (<italic>Aspergillus</italic> spp [n &#x3d; 3], non-tuberculosis mycobacteria ([n &#x3d; 2]; <italic>Pneumocystis</italic> spp [n &#x3d; 1]).</p>
</sec>
<sec id="s3-3-6">
<title>Site of infections</title>
<p>Most occurred in abdominal sites (liver, gastrointestinal site and urinary tract - 39%,140/360), followed by respiratory infections (22%, 80/360) (<xref ref-type="fig" rid="F3">Figures 3a,b</xref>; <xref ref-type="sec" rid="s12">Supplementary Table 2</xref>).</p>
</sec>
<sec id="s3-3-9">
<title>Timeline of infections</title>
<p>The burden of infections over time is presented by organ in <xref ref-type="fig" rid="F4">Figure 4</xref>. Bacterial infections predominated in the first 3&#xa0;months (56%, (84/149)), mainly <italic>Clostridium</italic> spp, mixed species, and <italic>Pseudomonas</italic> spp. <italic>E. coli</italic> infections occurred throughout the year (<xref ref-type="sec" rid="s12">Supplementary Table 3</xref>).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Violin representation of infections over time during the first year after transplant.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="ti-39-16075-g004.tif">
<alt-text content-type="machine-generated">Violin plots showing daily infection timing for bacteria, fungi, and viruses across kidney, liver, heart, and lung organ transplants over one year. Pathogens are listed on the right for each organ. Color indicates type: red for bacteria, blue for fungi, green for viruses. The x-axis shows days after transplant, and dot size represents daily infection number. A key at the bottom clarifies color and dot size mappings.</alt-text>
</graphic>
</fig>
<p>Viral infections remained steady; EBV appeared mainly between 3 and 6 months, CMV throughout, and gastrointestinal viruses year-round. Most fungal infections occurred in the first month, mainly <italic>Candida</italic> spp (<xref ref-type="sec" rid="s12">Supplementary Table 3</xref>).</p>
</sec>
<sec id="s3-3-7">
<title>Infections by organ</title>
<p>Regarding bacterial infections, in the kidney, Gram-negative bacteria predominated, with <italic>E. coli</italic> accounting for 17 cases (28.3%), followed by <italic>Klebsiella spp.</italic> (8; 13.3%) and <italic>Pseudomonas spp.</italic> (8; 13.3%), while gram-positive organisms remained less frequent. In the liver, infections were more evenly distributed, with 22/62 (35.5%) Gram-negative and 25/62 (40.3%) Gram-positive bacteria, alongside 13/62 (21%) polymicrobial cases. In the lung, the distribution was heterogeneous, with notable proportions of <italic>Enterococcus spp.</italic> (3/12; 25%) and mycobacteria (2/12; 16.7%), and no clear predominance of Gram-negative organisms. In the heart, Gram-positive bacteria dominated (5/7; 71.4%), mainly <italic>Clostridium spp.</italic> (2/7; 28.6%) and staphylococci (1/7; 14.3%), whereas Gram-negative bacteria were rare (1/7; 14.3%) and polymicrobial infections uncommon.</p>
<p>Regarding viruses, in the kidney, infections were mainly due to BK virus (10/51; 19.6%) and cytomegalovirus (12/51; 23.5%), whereas the liver showed a broader distribution including adenovirus (14/113; 12.4%), HHV-6 (13/113; 11.5%), coronaviruses (11/113; 9.7%), and 12/113 (10.6%) multiple viral infections. In the lung, picornaviruses predominated (6/11; 54.5%), while the heart displayed a low and heterogeneous viral distribution without a dominant pathogen.</p>
<p>Four patients liver-transplanted of a ABO incompatibly context experienced 9 infections (2.25 infections per patient). Forty-two patients with living-donor kidney transplants experienced 53 infections (1.26 infections per patient), compared with 58 infections among 74 patients with deceased-donor transplants (0.78 infections per patient).</p>
</sec>
</sec>
<sec id="s3-4">
<title>Management of infections</title>
<p>Among the 360 infections, information regarding inpatient vs. outpatient management was available in 290 (81%). Among those, 58% (169/290) required hospitalization for management while 42% (122/290) were managed on an outpatient basis. Ninety-nine percent (146/148) of bacterial infections were treated by antibacterial therapy. Antiviral therapy was administered in 30% (55/185) of viral infections. All fungal infections were treated with antifungals. Additionally, a reduction of immunosuppression was reported in 10% of infections for which information was available (34/335). Of these cases, 29 involved viral infections (11 CMV; 6 EBV; 6 BK virus).</p>
<p>Among the 11 patients who died, seven had an active infection at the time of death. Five deaths were attributed to multiorgan failure secondary to infection, including three due to invasive fungal infections (one Aspergillus spp with multisystemic involvement and two <italic>Candida</italic> spp affecting the respiratory and gastrointestinal tract) and two due to bacterial sepsis (Herbaspirillum spp. in blood and <italic>Bacteroides fragilis</italic> from a gastrointestinal source). The remaining two patients died from non-infectious causes (cerebrovascular disease and postoperative hemorrhage), both associated with concurrent infection.</p>
</sec>
<sec id="s3-5">
<title>Risk factors for infections</title>
<p>Demographics of patients with (n &#x3d; 151) and without infections (n &#x3d; 134) are compared in <xref ref-type="table" rid="T2">Table 2</xref>. In a univariate model, liver and lung transplantation were associated with an increased infection incidence rate ratio (IRR) (2.16; p &#x3c; 0.001 and 2.99; p &#x3c; 0.007, respectively). A younger recipient age as well as male sex were also associated with an increased IRR (0.96; p &#x3d; 0.009 and 1.54; p &#x3d; 0.016, respectively).</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Comparison of patients with and without infection.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Characteristic<break/>Number of patients</th>
<th align="center">Infections<break/>n &#x3d; 151</th>
<th align="center">No infections n &#x3d; 134</th>
<th align="center">Univariate IRR (95% CI), p-value</th>
<th align="center">Multivariate IRR (95% CI), p-value<xref ref-type="table-fn" rid="Tfn3">
<sup>a</sup>
</xref>
</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td colspan="5" align="left">Transplanted organ, n (%)</td>
</tr>
<tr>
<td align="left">&#x2003;Kidney</td>
<td align="center">49 (32.5)</td>
<td align="center">67 (50.0)</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">&#x2003;Liver</td>
<td align="center">71 (47.0)</td>
<td align="center">36 (26.9)</td>
<td align="center">2.16 (1.47&#x2013;3.18), p &#x3c; 0.001</td>
<td style="background-color:#D9D9D9" align="center">2.14 (1.38&#x2013;3.34) p &#x3c; 0.001</td>
</tr>
<tr>
<td align="left">&#x2003;Lung</td>
<td align="center">9 (6.0)</td>
<td align="center">5 (3.7)</td>
<td align="center">2.99 (1.34&#x2013;7.15) p &#x3d; 0.007</td>
<td style="background-color:#D9D9D9" align="center">4.09 (1.79&#x2013;10.1) p &#x3c; 0.001</td>
</tr>
<tr>
<td align="left">&#x2003;Heart</td>
<td align="center">21 (13.9)</td>
<td align="center">24 (17.9)</td>
<td align="center">0.74 (0.42&#x2013;1.29) p &#x3d; 0.29</td>
<td style="background-color:#D9D9D9" align="center">0.87 (0.49&#x2013;1.53) p &#x3d; 0.62</td>
</tr>
<tr>
<td align="left">&#x2003;Combined</td>
<td align="center">1 (0.7)</td>
<td align="center">2 (1.5)</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">Recipient age at transplant (yrs), median (IQR)</td>
<td align="center">6.3 (1.4&#x2013;14.3)</td>
<td align="center">10.5 (2.9&#x2013;15.6)</td>
<td align="center">0.96 (0.94&#x2013;0.99) p &#x3d; 0.009</td>
<td style="background-color:#D9D9D9" align="center">0.99 (0.95&#x2013;1.02) p &#x3d; 0.39</td>
</tr>
<tr>
<td align="left">Recipient sex (male), n (%)</td>
<td align="center">84 (55.6)</td>
<td align="center">65 (48.5)</td>
<td align="center">1.54 (1.07&#x2013;2.21) p &#x3d; 0.016</td>
<td style="background-color:#D9D9D9" align="center">1.44 (1.01&#x2013;2.06) p &#x3d; 0.038</td>
</tr>
<tr>
<td align="left">Previous transplant history, n (%)</td>
<td align="center">4 (2.6)</td>
<td align="center">6 (4.5)</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td colspan="5" align="left">CMV risk stratification, n (%)</td>
</tr>
<tr>
<td align="left">&#x2003;High risk</td>
<td align="center">44 (29.7)</td>
<td align="center">33 (25.0)</td>
<td align="center">0.85 (0.57&#x2013;1.28) p &#x3d; 0.43</td>
<td style="background-color:#D9D9D9" align="center">1.04 (0.69&#x2013;1.56) p &#x3d; 0.86</td>
</tr>
<tr>
<td align="left">&#x2003;Low or intermediate risk</td>
<td align="center">104 (70.3)</td>
<td align="center">99 (75.0)</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">&#x2003;Unknown</td>
<td align="center">3 (2.0)</td>
<td align="center">2 (1.5)</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td colspan="5" align="left">EBV risk stratification, n (%)</td>
</tr>
<tr>
<td align="left">&#x2003;High risk</td>
<td align="center">57 (38.0)</td>
<td align="center">41 (32.0)</td>
<td align="center">1.19 (0.83&#x2013;1.73) p &#x3d; 0.43</td>
<td style="background-color:#D9D9D9" align="center">1.22 (0.83&#x2013;1.80) p &#x3d; 0.29</td>
</tr>
<tr>
<td align="left">&#x2003;Low or intermediate risk</td>
<td align="center">93 (62.0)</td>
<td align="center">87 (68.0)</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td align="left">&#x2003;Unknown</td>
<td align="center">1 (0.7)</td>
<td align="center">6 (4.5)</td>
<td align="left">&#x200b;</td>
<td align="left">&#x200b;</td>
</tr>
<tr>
<td colspan="5" align="left">Inductions drugs<xref ref-type="table-fn" rid="Tfn4">
<sup>b</sup>
</xref>
</td>
</tr>
<tr>
<td align="left">&#x2003;Basiliximab, n (%)</td>
<td align="center">113 (74.8)</td>
<td align="center">78 (58.2)</td>
<td align="center">1.91 (1.28&#x2013;2.85) p &#x3d; 0.001</td>
<td style="background-color:#5e8aff" align="center">1.59 (0.98&#x2013;2.60) p &#x3d; 0.057</td>
</tr>
<tr>
<td align="left">&#x2003;ATG, n (%)</td>
<td align="center">12 (7.9)</td>
<td align="center">23 (17.2)</td>
<td align="center">0.35 (0.18&#x2013;0.67) p &#x3d; 0.002</td>
<td style="background-color:#5e8aff" align="center">1.05 (0.37&#x2013;2.94) p &#x3d; 0.92</td>
</tr>
<tr>
<td colspan="5" align="left">Immunosuppressive drugs</td>
</tr>
<tr>
<td align="left">&#x2003;MMF, n (%)</td>
<td align="center">84 (55.6)</td>
<td align="center">101 (75.4)</td>
<td align="center">0.52 (0.36&#x2013;0.75) p &#x3d; 0.001</td>
<td style="background-color:#5e8aff" align="center">0.79 (0.37&#x2013;1.71) p &#x3d; 0.51</td>
</tr>
<tr>
<td align="left">&#x2003;TAC, n (%)</td>
<td align="center">107 (70.9)</td>
<td align="center">108 (80.6)</td>
<td align="center">0.86 (0.57&#x2013;1.30) p &#x3d; 0.48</td>
<td style="background-color:#5e8aff" align="center">0.83 (0.37&#x2013;1.81) p &#x3d; 0.64</td>
</tr>
<tr>
<td align="left">&#x2003;CsA, n (%)</td>
<td align="center">49 (32.5)</td>
<td align="center">25 (18.7)</td>
<td align="center">1.22 (0.82&#x2013;1.84) p &#x3d; 0.32</td>
<td style="background-color:#5e8aff" align="center">1.66 (0.76&#x2013;3.66) p &#x3d; 0.21</td>
</tr>
<tr>
<td align="left">&#x2003;GC, n (%)</td>
<td align="center">129 (85.4)</td>
<td align="center">123 (91.8)</td>
<td align="center">0.71 (0.41&#x2013;1.18) p &#x3d; 0.19</td>
<td style="background-color:#5e8aff" align="center">0.99 (0.58&#x2013;1.67) p &#x3d; 0.21</td>
</tr>
<tr>
<td align="left">&#x2003;Other, n (%)</td>
<td align="center">7 (4.6)</td>
<td align="center">6 (4.5)</td>
<td align="center">0.46 (0.18&#x2013;1.20) p &#x3d; 0.11</td>
<td style="background-color:#5e8aff" align="center">0.85 (0.31&#x2013;2.28) p &#x3d; 0.73</td>
</tr>
<tr>
<td align="left">Number of different IS, median (IQR)</td>
<td align="center">3 (2&#x2013;3)</td>
<td align="center">3 (2&#x2013;3)</td>
<td align="center">0.7 (0.56, 0.88), p &#x3d; 0.002</td>
<td style="background-color:#007366" align="center">0.98 (0.72, 1.34) p &#x3d; 0.9</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="Tfn3">
<label>
<sup>a</sup>
</label>
<p>IRR derived from negative binomial generalized linear model. Effects highlighted in gray are adjusted for Organs, Sex, Age, Gender, CMV Serology and EBV Serology. Effects highlighted in blue are additionally adjusted for Basiliximab, ATG, MMF/EC-MPA, TAC, CsA, GC, Other IS. Effect highlighted in green are adjusted for the set RF1, Basiliximab and ATG.</p>
</fn>
<fn id="Tfn4">
<label>
<sup>b</sup>
</label>
<p>All immunosuppressive drugs recorded (within 14 days after and 30 days before transplantation).</p>
</fn>
<fn>
<p>IRR: Incidence rate ratio; IQR: interquartile range; yrs: years; CMV: Cytomegalovirus; EBV: Epstein-Barr virus, ATG: anti-thymocyte globulin;</p>
</fn>
<fn>
<p>IS, Immunosuppressor. MMF, Mycophenolate mofetil. TAC, Tacrolimus. CsA, cyclosporine A. GC, Glucocorticoid.</p>
</fn>
<fn>
<p>CMV/EBV risk stratification based on donor (D) and recipient (R) serostatus: high risk: D&#x2b;/R-; low or intermediate risk: D&#x2b;/R&#x2b;, D-/R- or D-/R&#x2b;.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>In a multivariate model, only liver and lung transplantation as well as male sex remained associated with an increased infection incidence rate ratio (2.14; p &#x3c; 0.001, 4.09; p &#x3c; 0.001, 1.44; p &#x3d; 0.038 respectively). (<xref ref-type="table" rid="T2">Table 2</xref>). No associations were found with immunosuppressive regimen or number of drugs (<xref ref-type="table" rid="T2">Table 2</xref>). Organ specific analyses did not identify any additional risk factors for infections beyond male sex (<xref ref-type="sec" rid="s12">Supplementary Figure 5</xref>).</p>
<sec id="s3-5-1">
<title>Association with rejection</title>
<p>During the follow-up period, 155 episodes of biopsy-proven rejections were observed with a median time of 51 days after transplantation (IQR 18&#x2013;166) in 85 patients. Fifteen percent (24/155) episodes of rejection occurred within 30 days after an infection (<xref ref-type="sec" rid="s12">Supplementary Table 4</xref>). In the multivariate model, no significant risk of rejection was found in the 30 days following any infection (HR 1.08; 95% Cl 0.57&#x2013;2.06; p &#x3d; 0.800).</p>
<p>Twenty-five episodes of rejection were followed by at least one infection within 90 days, totaling 43 infections (one infection in 16 cases, &#x3e;1 infection in 9 cases) (<xref ref-type="sec" rid="s12">Supplementary Table 4</xref>). In the multivariate model, rejection was not identified as a risk factor of infection (HR 1.08; 95% Cl 0.58&#x2013;1.99; p &#x3d; 0.800). <xref ref-type="sec" rid="s12">Supplementary Figure 4</xref> displays the timeline between rejection and infections by organ and by patient.</p>
</sec>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>This nationwide study of pediatric SOT during the first year after transplantation highlights several findings: (1) more than half of patients experienced at least one infectious event; (2) incidence of infection was highest in younger recipients; (3) liver and lung transplantation, as well as male sex were independently associated with an increased risk of infections (5) viral infections accounted for the largest proportion of infections; (6) bacterial infections predominated during the first 3&#xa0;months, with a large proportion due to Gram-negative organisms (6) distinct organ-specific microbiological patterns were observed (7) and the burden of fungal infection was considerable, with 3 of 22 fungal infections resulting in death.</p>
<p>To our knowledge, this is the first comprehensive and standardized characterization of the infectious burden within the first year after pediatric SOT in a nationwide cohort. Most studies have focused on a single type of infection or on severe infections [<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B21">21</xref>], a single type of transplanted organ [<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B22">22</xref>], or data collection was restricted to the immediate early post-SOT period [<xref ref-type="bibr" rid="B23">23</xref>]. While organ-specific studies are essential, our objective is complementary: to provide an overall view of the infectious burden across pediatric SOT and enable comparisons between transplant groups, that share underlying immunosuppressive mechanisms. Our data showed that approximately 50% of pediatric SOT recipients presented at least one infection during the first year after transplant, in line with previous reports after pediatric liver transplantation [<xref ref-type="bibr" rid="B8">8</xref>]. Notably, one fifth of patients experienced &#x3e;3 infections. Nearly half of infections required hospitalization. The challenge of invasive diagnostic and therapeutic procedures in children (venous access, biopsies of the infected sites,&#x2026;), the impact on quality of life, and the economic burden of these infections were not analyzed in this study but are likely to be considerable [<xref ref-type="bibr" rid="B24">24</xref>].</p>
<p>At an incidence rate of 1.36 infection, the incidence of infection in our cohort was very similar to adult SOT recipients using the same design, definitions, and study population [<xref ref-type="bibr" rid="B7">7</xref>]. However, infection patterns differed substantially between children and adults, supporting the need for age-specific preventive and management strategies.</p>
<p>Infections were more frequent in younger patients, likely to immune immaturity and more frequent behavioural exposure. Young children lack antigen-specific adaptive responses and therefore rely on stronger but less specific innate responses [<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>]. Lung transplant recipients had the highest incidence of infections, likely attributable to intense immunosuppression, airway exposure to pathogens and impaired mucociliary clearance [<xref ref-type="bibr" rid="B27">27</xref>&#x2013;<xref ref-type="bibr" rid="B29">29</xref>]. Liver transplant recipients also had a high incidence of infections, despite a lower immunosuppression [<xref ref-type="bibr" rid="B8">8</xref>], and even after adjusting for age. This may reflect the liver immunologic role, cirrhosis-related immune defects [<xref ref-type="bibr" rid="B30">30</xref>&#x2013;<xref ref-type="bibr" rid="B35">35</xref>] and the role of basiliximab induction. Male sex remained an independent risk factor, consistent with known sex-based immune differences and possible behavioral factors, including treatment non-adherence [<xref ref-type="bibr" rid="B36">36</xref>&#x2013;<xref ref-type="bibr" rid="B47">47</xref>].</p>
<p>More than half of infections were viral, contrasting with the adult study where bacterial infections predominated [<xref ref-type="bibr" rid="B7">7</xref>]. Viral infections were even more frequent in younger children and occurred year-round, reflecting transitions from donor-derived and immunosuppression-related risk to community exposure after return to school or daycare. Respiratory and gastrointestinal viruses were most common, mirroring pediatric viral epidemiology [<xref ref-type="bibr" rid="B48">48</xref>&#x2013;<xref ref-type="bibr" rid="B50">50</xref>], followed by herpesviruses, reflecting their burden after pediatric SOT [<xref ref-type="bibr" rid="B51">51</xref>&#x2013;<xref ref-type="bibr" rid="B54">54</xref>]. These findings emphasize the need for heightened vigilance for viral infections in routine pediatric follow-up, early testing for respiratory pathogens in order to avoid unnecessary prolonged empiric antibiotherapy, importance of immunization in the community for vaccine-preventable diseases immunization and infection control measures such as masks, social distancing and hand hygiene whenever possible in case of sustained viral circulation in schools and daycare.</p>
<p>Bacterial infections predominated in the early months, reflecting intensified immunosuppression and post-operative complications. Like in adult SOT recipients [<xref ref-type="bibr" rid="B7">7</xref>], <italic>E. coli</italic> was the most frequent cause of bacterial infections, of which 24% were MDR. [<xref ref-type="bibr" rid="B12">12</xref>]. The high prevalence of Gram-negative pathogens in this cohort supports the adaptation of empirical antibacterial therapy toward broader-spectrum coverage in cases of suspected bacterial infection. These findings also support the importance of early postoperative surveillance cultures in febrile patients and emphasize the need for close multidisciplinary coordination between transplant teams and community pediatricians to ensure timely detection and rapid referral for suspected severe infections.</p>
<p>Moreover, our findings reveal clear organ-specific microbiological patterns. Kidney infections were largely driven by enteric Gram-negative bacteria, consistent with a urinary or digestive origin, whereas liver infections displayed a mixed and frequently polymicrobial profile, supporting a biliary or intra-abdominal source [<xref ref-type="bibr" rid="B55">55</xref>, <xref ref-type="bibr" rid="B56">56</xref>]. Lung infections were more heterogeneous and included opportunistic pathogens, suggesting a role for host-related factors such as immunosuppression. In contrast, heart infections were predominantly caused by Gram-positive bacteria, reflecting typical endovascular infections associated with skin flora and biofilm formation.</p>
<p>Viral infections also exhibited organ-specific distributions, with latent viruses predominating in the kidney and a broader, more diverse spectrum in the liver, possibly reflecting younger age and primary exposure to common viruses. Lung infections were mainly driven by respiratory viruses, whereas cardiac involvement remained rare and nonspecific.</p>
<p>Although the number of reported fungal infections remained low, the outcome was fatal in 13% of cases. This raises the question of whether the indications for antifungal prophylaxis in SOT recipients, rarely applied in our cohort, should be expanded, and of the clinical situations in which screening for fungal colonization should be considered.</p>
<p>Less than a quarter of infections in our dataset were caused by opportunistic pathogens. This is probably overestimated given the fact that some viral pathogens considered as opportunistic by the STCS infectious diseases working group might indeed be opportunistic in the adult setting, but might simply reflect primary community infection in children (i.e., VZV, adenovirus). Overall, the relatively low burden of opportunistic infections likely reflects effective prophylaxis, underscoring adherence to standardized protocols and ongoing education of families and healthcare providers. Also, only 6% of infections were attributed to vaccine-preventable pathogens. While this may suggest a potential contribution of the pre-transplant immunization to post-transplant protection, this could not be verified in our cohort as individual immunization charts were not available. [<xref ref-type="bibr" rid="B14">14</xref>]. These findings nonetheless support the importance of ensuring up to date vaccination before transplantation and post-transplant catch-up when feasible.</p>
<p>No significant association was found between rejection episodes and infections. This may reflect limited power and pathogen-specific differences in the risk of rejection [<xref ref-type="bibr" rid="B57">57</xref>]. In this cohort, steroid-free regimens were not associated with a reduced risk of infection. However, this finding may be subject to selection bias, as most patients received steroid-based therapy. Contrary to our initial hypothesis, recipients of deceased-donor kidney transplants did not exhibit a higher infection rate, as the number of infections per patient was greater in the living-donor group.</p>
<p>Limitations of our study include the sample size limiting conclusion of subgroup analyses, possible reporting bias toward severe infections (as 60% required hospitalization), and underreporting of milder community-acquired cases. The absence of a pediatric control group limits comparison with the general population, and the results may not be generalized to other settings with different epidemiology or clinical practices. In addition, detailed data on immunosuppressive drug dosing and levels, treatment of rejection were unavailable restricting analysis of their association with infection. As with all registry-based studies, our findings may also be affected by loss to follow-up, missing or incomplete data, and variability in data reporting across centers.</p>
<p>In conclusion, this study provides a comprehensive overview of the infectious burden in the first year following pediatric SOT. More than half of patients experienced at least one clinically relevant infection, with viral infections predominated highlighting the unique vulnerabilities of pediatric recipients. The higher risk of infection was for liver and lung transplant recipients. These findings underscore the need for age and organ specific prevention and management strategies, including optimized vaccination, early diagnostics, and tailored antimicrobial approaches.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s5">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec sec-type="ethics-statement" id="s6">
<title>Ethics statement</title>
<p>The studies involving humans were approved by IRB review board - university hospital basel. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation to the STCS cohort study was provided by the participants&#x27; legal guardians/next of kin.</p>
</sec>
<sec sec-type="author-contributions" id="s7">
<title>Author contributions</title>
<p>NR, AL, JF conceptualized and designed the study, drafted the initial manuscript, and reviewed and revised the manuscript. JF also performed the statistical analyses and extracted the data from the Swiss Transplant Cohort Study database. CV, NM, and VM conceptualized and designed the study and reviewed and revised the manuscript. GS, SD, IM, PP, CBa, DM, CBe, HC, MS and ST contributed to data collection and critically reviewed the manuscript for important intellectual content.</p>
</sec>
<sec sec-type="others" id="s8">
<title>Group members of Swiss Transplant Cohort Study</title>
<p>Member of the Swiss Transplant Cohort Study: Patrizia Amico, Adrian Bachofner, Vanessa Banz, Sonja Beckmann, Guido Beldi, Christoph Berger, Ekaterine Berishvili, Annalisa Berzigotti, Fran&#xe7;oise-Isabelle Binet, Pierre-Yves Bochud, Petra Borner, Sanda Branca, Anne Cairoli, Emmanuelle Catana, Yves Chalandon, Philippe Compagnon, Sabina De Geest, Sophie De Seigneux, Michael Dickenmann, Jo&#xeb;lle Lynn Dreifuss, Thomas Fehr, Sylvie Ferrari-Lacraz, Andreas Flammer, Jaromil Frossard, D&#xe9;la Golshayan, Nicolas Goossens, Fadi Haidar, J&#xfc;rg Halter, Christoph Hess, Sven Hillinger, Hans Hirsch, Patricia Hirt, Linard Hoessly, Uyen Huynh-Do, Franz Immer, Nina Khanna, Michael Koller, Angela Koutsokera, Andreas Kremer, Thorsten Krueger, Christian Kuhn, Arnaud L&#x2019;Huillier, Bettina Laesser, Fr&#xe9;d&#xe9;ric Lamoth, Roger Lehmann, Alexander Leichtle, Oriol Manuel, Hans-Peter Marti, Michele Martinelli, Val&#xe9;rie McLin, Katell Mellac, Aur&#xe9;lia Mer&#xe7;ay, Karin Mettler, Sara Christina Meyer, Nicolas M&#xfc;ller, Jelena M&#xfc;ller, Ulrike M&#xfc;ller-Arndt, Mirjam N&#xe4;geli, Dionysios Neofytos, Jakob Nilsson, Manuel Pascual, Rosmarie Pazeller, David Reineke, Juliane Rick, Fabian R&#xf6;ssler, Silvia Rothlin, Thomas Schachtner, Stefan Schaub, Dominik Schneidawind, Mac&#xe9; Schuurmans, Simon Schwab, Thierry Sengstag, Daniel Sidler, Federico Simonetta, J&#xfc;rg Steiger, Guido Stirnimann, Ueli St&#xfc;rzinger, Christian Van Delden, Jean-Pierre Venetz, Jean Villard, Julien Vionnet, Laura Walti, Caroline Wehmeier, Patrick Yerly.</p>
</sec>
<sec sec-type="COI-statement" id="s10">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="s11">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="supplementary-material" id="s12">
<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.frontierspartnerships.org/articles/10.3389/ti.2026.16075/full#supplementary-material">https://www.frontierspartnerships.org/articles/10.3389/ti.2026.16075/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet1.pdf" id="SM1" mimetype="application/pdf" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<ref-list>
<title>References</title>
<ref id="B1">
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<fn-group>
<fn fn-type="abbr" id="abbrev1">
<label>Abbreviations:</label>
<p>SOT, solid organ transplant recipients; STCS, Swiss Transplant Cohort Study.</p>
</fn>
</fn-group>
</back>
</article>