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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">16266</article-id>
<article-id pub-id-type="doi">10.3389/ti.2026.16266</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>Long-Term Outcomes Across Age and Risk Profiles in a Caucasian Living Kidney Donor Cohort</article-title>
<alt-title alt-title-type="left-running-head">Sommerer et al.</alt-title>
<alt-title alt-title-type="right-running-head">Outcome of Living Kidney Donors</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Sommerer</surname>
<given-names>Claudia</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2856320"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Schr&#xf6;ter</surname>
<given-names>Iris</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kuhlmann</surname>
<given-names>Nicola Marie</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Bougioukou</surname>
<given-names>Zoi</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zeier</surname>
<given-names>Martin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<label>1</label>
<institution>Department of Nephrology, University Hospital Heidelberg</institution>, <city>Heidelberg</city>, <country country="DE">Germany</country>
</aff>
<aff id="aff2">
<label>2</label>
<institution>German Centre for Infection Research (DZIF), Site Heidelberg, University Heidelberg</institution>, <city>Heidelberg</city>, <country country="DE">Germany</country>
</aff>
<author-notes>
<corresp id="c001">
<label>&#x2a;</label>Correspondence: Claudia Sommerer, <email xlink:href="mailto:claudia.sommerer@med.uni-heidelberg.de">claudia.sommerer@med.uni-heidelberg.de</email>
</corresp>
<fn fn-type="other" id="fn001">
<label>&#x2020;</label>
<p>
<bold>ORCID:</bold> Claudia Sommerer, <ext-link ext-link-type="uri" xlink:href="https://orcid.org/0000-0001-5080-0979">orcid.org/0000-0001-5080-0979</ext-link>; Iris Schr&#x00F6;ter <ext-link ext-link-type="uri" xlink:href="https://orcid.org/0009-0005-8843-1044">orcid.org/0009-0005-8843-1044</ext-link>
</p>
</fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-04-23">
<day>23</day>
<month>04</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>39</volume>
<elocation-id>16266</elocation-id>
<history>
<date date-type="received">
<day>19</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="rev-recd">
<day>09</day>
<month>03</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>01</day>
<month>04</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Sommerer, Schr&#xf6;ter, Kuhlmann, Bougioukou and Zeier.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Sommerer, Schr&#xf6;ter, Kuhlmann, Bougioukou and Zeier</copyright-holder>
<license>
<ali:license_ref start_date="2026-04-23">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>Living kidney donation achieves excellent recipient outcomes, but increasingly involves older and medically complex donors, while long-term data across age groups remain limited. The Heidelberg Kidney Donor Study followed 632 donors (1991&#x2013;2020), stratified by age &#x3c;40 (n &#x3d; 93), 40&#x2013;60 (n &#x3d; 424), and &#x3e;60&#xa0;years (n &#x3d; 115). Primary outcomes were a &#x2265;50% eGFR decline and an eGFR &#x3c;45&#xa0;mL/min/1.73&#xa0;m<sup>2</sup> at long-term follow-up. Early post-donation adaptation, long-term eGFR trajectories, cardiovascular events, and risk patterns were evaluated. Mean donor age was 50.6 &#xb1; 10.6&#xa0;years (62.5% female). eGFR declined by 26.0% after donation and remained stable thereafter. At a median follow-up of 12 years, &#x2265;50% eGFR decline occurred in 4.8%, 5.3%, and 14.4% of donors aged &#x3c;40, 40&#x2013;60, and &#x3e;60&#xa0;years, respectively, an eGFR &#x3c;45&#xa0;mL/min/1.73&#xa0;m<sup>2</sup> in 1.2%, 5.3%, and 20.4%. An eGFR &#x3c;30&#xa0;mL/min/1.73&#xa0;m<sup>2</sup> occurred in 1.2%, major adverse cardiovascular events in 4.3%. Age, hypertension, and baseline-eGFR independently predicted renal impairment. Younger donors with hypertension or obesity had up to a 14.3% risk of &#x2265;50% eGFR decline, exceeding the risk in healthy older donors (12.5%). Living kidney donation was associated with stable long-term kidney function after early adaptation, with substantial heterogeneity driven more by baseline renal reserve and comorbidity than chronological age alone.</p>
</abstract>
<abstract abstract-type="graphical">
<title>Graphical Abstract</title>
<p>
<fig>
<graphic xlink:href="TI_ti-2026-16266_wc_abs.tif" position="anchor">
<alt-text content-type="machine-generated">Infographic summarizing long-term kidney outcomes in Western European living kidney donors shows a 26 percent early decrease in kidney function that remains stable, with 8 percent having eGFR under forty-five and 6.8 percent experiencing at least fifty percent decline; main risk factors are hypertension, age at donation, and baseline eGFR, based on data from the Heidelberg Kidney Donor Study with six hundred thirty-two participants and twelve years average follow-up.</alt-text>
</graphic>
</fig>
</p>
</abstract>
<kwd-group>
<kwd>age</kwd>
<kwd>cardiovascular risk</kwd>
<kwd>living kidney donation</kwd>
<kwd>renal function</kwd>
<kwd>risk score</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was not received for this work and/or its publication.</funding-statement>
</funding-group>
<counts>
<fig-count count="10"/>
<table-count count="6"/>
<equation-count count="0"/>
<ref-count count="38"/>
<page-count count="17"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Living kidney donation (LKD) is the optimal treatment for renal failure, increasing organ availability, shortening waiting times and enabling preemptive transplantation with superior graft and patient survival [<xref ref-type="bibr" rid="B1">1</xref>&#x2013;<xref ref-type="bibr" rid="B3">3</xref>]. Most international and national cohort studies have demonstrated no significant long-term harm to donors [<xref ref-type="bibr" rid="B4">4</xref>&#x2013;<xref ref-type="bibr" rid="B9">9</xref>]. However, two more recent studies identified a modestly higher risk of endstage renal disease (ESRD) in living kidney donors compared with the general population [<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>], providing limited data on outcomes for older donors and those with cardiometabolic comorbidities.</p>
<p>Due to organ shortages and long waiting times, transplant centers increasingly accept medically complex living kidney donors &#x2013; older individuals or those with hypertension and obesity [<xref ref-type="bibr" rid="B12">12</xref>], consistent with recent registry observations [<xref ref-type="bibr" rid="B13">13</xref>]. This shift may increase donors&#x2019; risk for renal and cardiovascular events and affect transplant ouctomes [<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B14">14</xref>]. Such donors now account for 25%&#x2013;50% of LKD program [<xref ref-type="bibr" rid="B15">15</xref>]. Acceptance criteria vary widely between transplant centers [<xref ref-type="bibr" rid="B16">16</xref>].</p>
<p>Despite the importance of this issue, high-quality studies with long-term outcomes are scarce [<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>]. Most available data derive from retrospective registry-based analyses focusing on hard endpoints, with limited insight into longitudinal kidney function trajectories or clinically relevant heterogeneity among donors.</p>
<p>The aim of the present study was to characterize long-term renal and cardiovascular outcomes after living kidney donation across donor age groups using detailed longitudinal follow-up data. A central objective was to disentangle whether advanced donor age predominantly affects the level of kidney function achieved after donation or whether it is associated with an accelerated rate of subsequent kidney function decline over time.</p>
<p>In addition, the study aimed to assess the modifying role of baseline renal reserve and common comorbidities and to describe heterogeneity in long-term renal risk based on routinely collected donor characteristics.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>Materials and Methods</title>
<sec id="s2-1">
<title>Study Design</title>
<p>The Heidelberg Kidney Donor Study (HeiKiD) is a prospective cohort study established to evaluate long-term outcomes after LKD and to enhance shared decision-making and informed consent.</p>
<p>The study was approved by the ethics committee of the University Hospital Heidelberg (S104-2011), and all participants provided written informed consent. Data collected prior to 2011 were obtained retrospectively from medical records. Since 2011, donors have been followed prospectively within a structured cohort study with predefined follow-up intervals.</p>
<p>Data handling complied with the European General Data Protection Regulation.</p>
<p>Eligible donors were aged &#x2265;18&#xa0;years, had completed the pre-donation evaluation, and had at least 5 years of follow-up after donation. The analysis included 632 caucasian donors who donated between 01/1991 and 06/2020 for recipients across 48 dialysis centers in southern and central Germany. Demographic data were obtained via structured questionnaires. Clinical and laboratory data were collected before donation, 1&#xa0;year post-donation, and annually thereafter. In accordance with German living donor evaluation standards, all potential donors underwent comprehensive cardiovascular assessment before donation, including echocardiography and exercise ECG; if coronary heart disease was known or non-invasive testing was abnormal, coronary angiography was performed. Donors with clinically significant or uncontrolled cardiovascular disease were generally excluded, and only mild, stable, or previously treated cardiovascular conditions were accepted after interdisciplinary evaluation.</p>
</sec>
<sec id="s2-2">
<title>Study Outcomes</title>
<p>Primary outcomes were:<list list-type="bullet">
<list-item>
<p>&#x2265;50% decline in estimated glomerular filtration rate (eGFR) from baseline to last follow-up</p>
</list-item>
<list-item>
<p>prevalence of eGFR &#x3c;45&#xa0;mL/min/1.73&#xa0;m<sup>2</sup> at long-term follow-up.</p>
</list-item>
</list>
</p>
<p>The threshold corresponds to CKD stage 3b and was selected because this level of kidney function has been consistently associated with a substantially increased risk of cardiovascular events, CKD progression, and mortality in large population-based studies [<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>].</p>
<p>Secondary endpoints included the incidence of eGFR &#x3c;30&#xa0;mL/min/1.73&#xa0;m<sup>2</sup>, the need for renal replacement therapy, composite major adverse cardiovascular events (MACE), individual components of MACE (myocardial infarction, stroke, cardiovascular death, peripheral artery disease events (revascularization, amputation)), and death.</p>
<p>Beyond binary renal endpoints, analyses focused on early post-donation change, achieved post-adaptation kidney function, and long-term eGFR trajectories.</p>
<p>Analyses were stratified by donor age (&#x3c;40&#xa0;years, 40&#x2013;60&#xa0;years, and &#x3e;60&#xa0;years) to explore age effects. In addition, the impact of baseline comorbidity on longterm outcome was analyzed. A dedicated subanalysis was performed in donors aged &#x2265;70&#xa0;years.</p>
</sec>
<sec id="s2-3">
<title>Statistical Methods</title>
<p>Continuous variables were expressed as mean &#xb1; standard deviation (SD) or median (interquartile range, IQR) and compared using the Student&#x2019;s t-test or Mann&#x2013;Whitney U test. Categorical variables were presented as counts and percentages and compared using the chi-square or Fisher&#x2019;s exact test. Bias was minimized through consecutive enrollment and consistent data collection. Analyses were performed using complete case data without imputation.</p>
<p>Linear mixed-effects models were used to evaluate the association of age at donation with eGFR levels and longitudinal eGFR trajectories.</p>
<p>To separate the expected early post-nephrectomy adaptation from subsequent long-term changes, early eGFR change was quantified from baseline to 12 months after donation. Early change was defined as &#x394;eGFR0&#x2013;12 (eGFR1y &#x2212; eGFRbaseline) and, in sensitivity analyses, as percent change (%&#x394;eGFR). Determinants of early eGFR change were assessed using multivariable linear regression with prespecified predictors: baseline eGFR (CKD-EPI), age at donation (continuous), preexisting hypertension, BMI, sex, and donation era (grouped into 1991&#x2013;2000, 2001&#x2013;2010, 2011&#x2013;2020). To facilitate comparison of effect sizes across predictors, standardized regression coefficients were calculated for continuous variables.</p>
<p>To assess determinants of achieved kidney function at long-term follow-up, multivariable linear regression models were fitted with eGFR at last follow-up as the dependent variable and adjusted for baseline eGFR, early eGFR change (&#x394;eGFR0&#x2013;12), follow-up duration, age at donation, hypertension, BMI, and sex.</p>
<sec id="s2-3-1">
<title>Risk Grouping and Regression Analysis</title>
<p>Donors were classified by age and presence of established risk factors for kidney function decline. Associations between baseline variables and outcomes were assessed using univariate logistic regression. Multivariate models included prespecified clinically relevant variables.</p>
</sec>
<sec id="s2-3-2">
<title>Exploratory Risk Stratification Using Baseline Clinical Variables</title>
<p>An exploratory composite score was constructed to illustrate the combined association of key baseline factors with long-term outcomes. Independent predictors from the multivariate analysis were used in an exploratory manner to summarize their joint association with long-term renal outcomes. Regression coefficients (&#x3b2;) were used to assign relative weights to each predictor, reflecting their contribution within this cohort. An individual composite score was calculated as the sum of weighted predictors. For descriptive purposes, risk scores were categorized into tertiles representing low, intermediate, and high-risk groups, and the observed incidence of both outcomes was calculated for each category. Model calibration was assessed exploratorily by comparing predicted and observed outcome frequencies across tertiles and deciles, including calibration plots, calibration slope and intercept, and the Hosmer&#x2013;Lemeshow test. Discriminative performance was quantified using the area under the receiver operating characteristic curve (AUC).</p>
<p>All analyses were performed in R (Version 2024.12.0).</p>
</sec>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec id="s3-1">
<title>Cohort Characteristics</title>
<p>A total of 632 living kidney donors with a minimum follow-up of 5&#xa0;years were included. Of these, 93 were aged &#x3c;40&#xa0;years (14.7%), 424 were aged 40&#x2013;60&#xa0;years (67.1%), and 115 were aged &#x3e;60&#xa0;years (16.6%), <xref ref-type="table" rid="T1">Table 1</xref>. The mean age at donation was 50.6 &#xb1; 10.6&#xa0;years (range 19&#x2013;77). Mean donor age increased from 43.9 years in 1990&#x2013;1994 to 53.4&#xa0;years in 2015&#x2013;2020.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Baseline Characteristics of the Living Kidney Donor Cohort and Median Follow-Up, stratified by Age.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Parameter</th>
<th align="center">n</th>
<th align="center">Total cohort</th>
<th align="center">&#x3c;40 years</th>
<th align="center">40&#x2013;60 years</th>
<th align="center">&#x3e;60 years</th>
<th align="center">p-value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">n</td>
<td align="center">&#x200b;</td>
<td align="center">632</td>
<td align="center">93</td>
<td align="center">424</td>
<td align="center">115</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td colspan="7" align="left">Demographics</td>
</tr>
<tr>
<td align="left">Age (mean &#xb1; SD)</td>
<td align="center">632</td>
<td align="center">50.6 &#xb1; 10.6</td>
<td align="center">33.3 &#xb1; 5.3</td>
<td align="center">50.3 &#xb1; 5.6</td>
<td align="center">65.5 &#xb1; 3.7</td>
<td align="center">
<bold>&#x3c;0.001</bold>
</td>
</tr>
<tr>
<td align="left">Male gender (%)</td>
<td align="center">632</td>
<td align="center">37.5 (237)</td>
<td align="center">29.0 (27)</td>
<td align="center">37.0 (157)</td>
<td align="center">46.1 (53)</td>
<td align="center">
<bold>0.0387</bold>
</td>
</tr>
<tr>
<td align="left">BMI (kg/m<sup>2</sup>)</td>
<td align="center">615</td>
<td align="center">26.2 &#xb1; 4.1</td>
<td align="center">25.4 &#xb1; 4.8</td>
<td align="center">26.4 &#xb1; 4.0</td>
<td align="center">26.3 &#xb1; 3.6</td>
<td align="center">
<bold>0.0405</bold>
</td>
</tr>
<tr>
<td align="left">&#x2003;18-25&#xa0;kg/m<sup>2</sup>
</td>
<td align="center">&#x200b;</td>
<td align="center">41.1 (253)</td>
<td align="center">49.4 (44)</td>
<td align="center">40.6 (168)</td>
<td align="center">36.6 (41)</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">&#x2003;&#x3c;18&#xa0;kg/m<sup>2</sup>
</td>
<td align="center">&#x200b;</td>
<td align="center">1.0 (6)</td>
<td align="center">3.4 (3)</td>
<td align="center">3.1 (13)</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">&#x2003;&#x3e;25&#xa0;kg/m<sup>2</sup>
</td>
<td align="center">&#x200b;</td>
<td align="center">40.5 (249)</td>
<td align="center">27.0 (24)</td>
<td align="center">43.2 (175)</td>
<td align="center">44.6 (50)</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">&#x2003;Obesity class I (BMI 30-35&#xa0;kg/m<sup>2</sup>)</td>
<td align="center">&#x200b;</td>
<td align="center">14.1 (87)</td>
<td align="center">15.7 (14)</td>
<td align="center">13.3 (55)</td>
<td align="center">16.1 (18)</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">&#x2003;Obesity class II (BMI 35-40&#xa0;kg/m<sup>2</sup>)</td>
<td align="center">&#x200b;</td>
<td align="center">2.8 (17)</td>
<td align="center">3.4 (3)</td>
<td align="center">3.1 (13)</td>
<td align="center">0.9 (1)</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">&#x2003;Obesity class III (BMI &#x3e;40&#xa0;kg/m<sup>2</sup>)</td>
<td align="center">&#x200b;</td>
<td align="center">0.5 (3)</td>
<td align="center">1.1 (1)</td>
<td align="center">0.5 (2)</td>
<td align="center">1.8 (2)</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">Nicotine use (active smoker)</td>
<td align="center">603</td>
<td align="center">24.2 (146)</td>
<td align="center">31.4 (27)</td>
<td align="center">26.6 (107)</td>
<td align="center">10.5 (12)</td>
<td align="center">
<bold>0.0008</bold>
</td>
</tr>
<tr>
<td align="left">Donated to</td>
<td align="center">630</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">Related</td>
<td align="center">&#x200b;</td>
<td align="center">63.7 (392)</td>
<td align="center">80.0 (72)</td>
<td align="center">61.7 (259)</td>
<td align="center">58.4 (66)</td>
<td align="center">
<bold>0.0012</bold>
</td>
</tr>
<tr>
<td align="left">First-degree relatives</td>
<td align="center">&#x200b;</td>
<td align="center">61.1 (385)</td>
<td align="center">73.1 (68)</td>
<td align="center">60.0 (253)</td>
<td align="center">55.7 (64)</td>
<td align="center">
<bold>0.0150</bold>
</td>
</tr>
<tr>
<td align="left">Unrelated</td>
<td align="center">&#x200b;</td>
<td align="center">36.2 (226)</td>
<td align="center">20.0 (18)</td>
<td align="center">38.3 (161)</td>
<td align="center">51.6 (47)</td>
<td align="center">
<bold>0.0012</bold>
</td>
</tr>
<tr>
<td align="left">Spouse</td>
<td align="center">&#x200b;</td>
<td align="center">31.6 (200)</td>
<td align="center">17.2 (16)</td>
<td align="center">34.0 (144)</td>
<td align="center">34.8 (40)</td>
<td align="center">
<bold>0.0051</bold>
</td>
</tr>
<tr>
<td align="left">Sibling</td>
<td align="center">&#x200b;</td>
<td align="center">13. 9 (88)</td>
<td align="center">29.0 (27)</td>
<td align="center">12.3 (52)</td>
<td align="center">7.8 (9)</td>
<td align="center">
<bold>&#x3c;0.001</bold>
</td>
</tr>
<tr>
<td align="left">Mother -- child</td>
<td align="center">&#x200b;</td>
<td align="center">29.3 (185)</td>
<td align="center">35.5 (33)</td>
<td align="center">28.5 (121)</td>
<td align="center">27.0 (31)</td>
<td align="center">0.3427</td>
</tr>
<tr>
<td align="left">Father -- child</td>
<td align="center">&#x200b;</td>
<td align="center">18.2 (115)</td>
<td align="center">9.6 (8)</td>
<td align="center">19.3 (82)</td>
<td align="center">21.7 (25)</td>
<td align="center">
<bold>0.0288</bold>
</td>
</tr>
<tr>
<td align="left">Friend</td>
<td align="center">&#x200b;</td>
<td align="center">1.9 (12)</td>
<td align="center">1.1 (1)</td>
<td align="center">2.6 (11)</td>
<td align="center">5.2 (6)</td>
<td align="center">0.4978</td>
</tr>
<tr>
<td colspan="7" align="left">Blood pressure parameters</td>
</tr>
<tr>
<td align="left">Mean arterial pressure (mmHg)</td>
<td align="center">618</td>
<td align="center">96.8 &#xb1; 9.8</td>
<td align="center">93,2 &#xb1; 9.3</td>
<td align="center">96.6 &#xb1; 9.4</td>
<td align="center">99.9 &#xb1; 10.4</td>
<td align="center">
<bold>&#x3c;0.001</bold>
</td>
</tr>
<tr>
<td align="left">Systolic BP (mmHg)</td>
<td align="center">618</td>
<td align="center">128.5 &#xb1; 15.1</td>
<td align="center">123.2 &#xb1; 13.2</td>
<td align="center">127.9 &#xb1; 14.6</td>
<td align="center">134.9 &#xb1; 16.2</td>
<td align="center">
<bold>&#x3c;0.001</bold>
</td>
</tr>
<tr>
<td align="left">Diastolic BP (mmHg)</td>
<td align="center">618</td>
<td align="center">80.8 &#xb1; 8.5</td>
<td align="center">78.3 &#xb1; 8.6</td>
<td align="center">81.0 &#xb1; 8.2</td>
<td align="center">82.5 &#xb1; 9.2</td>
<td align="center">
<bold>0.0097</bold>
</td>
</tr>
<tr>
<td align="left">24h systolic BP mean (mmHg)</td>
<td align="center">467</td>
<td align="center">125.6 &#xb1; 13.0</td>
<td align="center">121.9 &#xb1; 13.5</td>
<td align="center">125.2 &#xb1; 13.1</td>
<td align="center">130.4 &#xb1; 10.6</td>
<td align="center">
<bold>&#x3c;0.001</bold>
</td>
</tr>
<tr>
<td align="left">24h diastolic BP mean (mmHg)</td>
<td align="center">466</td>
<td align="center">77.4 &#xb1; 8.9</td>
<td align="center">74.5 &#xb1; 7.2</td>
<td align="center">77.7 &#xb1; 9.2</td>
<td align="center">78.7 &#xb1; 8.5</td>
<td align="center">
<bold>0.0054</bold>
</td>
</tr>
<tr>
<td colspan="6" align="left">Medical history</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">Hypertension</td>
<td align="center">632</td>
<td align="center">44.5 (281)</td>
<td align="center">24.7 (23)</td>
<td align="center">43.2 (183)</td>
<td align="center">65.2 (75)</td>
<td align="center">
<bold>&#x3c;0.001</bold>
</td>
</tr>
<tr>
<td align="left">Diabetes mellitus</td>
<td align="center">632</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">-</td>
</tr>
<tr>
<td align="left">Prediabetes</td>
<td align="center">595</td>
<td align="center">5.2 (31)</td>
<td align="center">3.4 (3)</td>
<td align="center">4.8 (19)</td>
<td align="center">8.1 (9)</td>
<td align="center">0.2691</td>
</tr>
<tr>
<td align="left">Hyperlipidemia</td>
<td align="center">632</td>
<td align="center">8.6 (54)</td>
<td align="center">2.2 (2)</td>
<td align="center">7.8 (33)</td>
<td align="center">16.5 (19)</td>
<td align="center">
<bold>&#x3c;0.001</bold>
</td>
</tr>
<tr>
<td align="left">Metabolic syndrome</td>
<td align="center">611</td>
<td align="center">7.7 (49)</td>
<td align="center">10.2 (9)</td>
<td align="center">7.5 (31)</td>
<td align="center">6.3 (7)</td>
<td align="center">0.5624</td>
</tr>
<tr>
<td align="left">Thyroid disease</td>
<td align="center">632</td>
<td align="center">17.3 (109)</td>
<td align="center">5.4 (5)</td>
<td align="center">18.0 (76)</td>
<td align="center">24.0 (26)</td>
<td align="center">
<bold>0.001</bold>
</td>
</tr>
<tr>
<td align="left">Cardiovascular disease I</td>
<td align="center">632</td>
<td align="center">0.9 (6)</td>
<td align="center">0.0 (0)</td>
<td align="center">0.7 (3)</td>
<td align="center">2.6 (3)</td>
<td align="center">0.15</td>
</tr>
<tr>
<td align="left">Malignant diseases</td>
<td align="center">632</td>
<td align="center">2.2 (14)</td>
<td align="center">0.0 (0)</td>
<td align="center">2.4 (10)</td>
<td align="center">2.6 (3)</td>
<td align="center">0.400</td>
</tr>
<tr>
<td align="left">COPD/Asthma/Chronic bronchitis</td>
<td align="center">632</td>
<td align="center">3.8 (24)</td>
<td align="center">2.2 (2)</td>
<td align="center">4.3 (18)</td>
<td align="center">3.6 (4)</td>
<td align="center">0.6256</td>
</tr>
<tr>
<td align="left">Urological diseases</td>
<td align="center">632</td>
<td align="center">4.6 (29)</td>
<td align="center">1.1 (1)</td>
<td align="center">4.5 (19)</td>
<td align="center">7.8 (9)</td>
<td align="center">0.062</td>
</tr>
<tr>
<td align="left">Gynecological diseases</td>
<td align="center">632</td>
<td align="center">6.3 (40)</td>
<td align="center">5.4 (4)</td>
<td align="center">7.8 (33)</td>
<td align="center">1.7 (2)</td>
<td align="center">0.057</td>
</tr>
<tr>
<td align="left">Psychiatric disorders</td>
<td align="center">632</td>
<td align="center">2.5 (16)</td>
<td align="center">0.0 (0)</td>
<td align="center">2.8 (12)</td>
<td align="center">3.5 (4)</td>
<td align="center">0.4181</td>
</tr>
<tr>
<td colspan="7" align="left">Family medical history</td>
</tr>
<tr>
<td align="left">Kidney disease</td>
<td align="center">388</td>
<td align="center">24.5 (95)</td>
<td align="center">32.5 (13)</td>
<td align="center">21.1 (58)</td>
<td align="center">32.9 (24)</td>
<td align="center">0.0528</td>
</tr>
<tr>
<td colspan="7" align="left">Medication use</td>
</tr>
<tr>
<td align="left">Antihypertensive medication</td>
<td align="center">632</td>
<td align="center">24.4 (154)</td>
<td align="center">3.2 (3)</td>
<td align="center">23.1 (98)</td>
<td align="center">46.1 (53)</td>
<td align="center">
<bold>&#x3c;0.001</bold>
</td>
</tr>
<tr>
<td align="left">Number of antihypertensives</td>
<td align="center">632</td>
<td align="center">0.36 &#xb1; 0.74</td>
<td align="center">0.04 &#xb1; 0.25</td>
<td align="center">0.33 &#xb1; 0.67</td>
<td align="center">0.76 &#xb1; 1.03</td>
<td align="center">
<bold>&#x3c;0.001</bold>
</td>
</tr>
<tr>
<td align="left">Lipid-lowering drugs</td>
<td align="center">632</td>
<td align="center">5.1 (32)</td>
<td align="center">0.0 (0)</td>
<td align="center">4.0 (17)</td>
<td align="center">13.0 (15)</td>
<td align="center">
<bold>&#x3c;0.001</bold>
</td>
</tr>
<tr>
<td align="left">Thyroid medication</td>
<td align="center">632</td>
<td align="center">12.5 (79)</td>
<td align="center">1.1 (1)</td>
<td align="center">13.4 (57)</td>
<td align="center">18.3 (21)</td>
<td align="center">
<bold>0.0006</bold>
</td>
</tr>
<tr>
<td align="left">Pain medication (non-NSAIDs)</td>
<td align="center">632</td>
<td align="center">0.2 (1)</td>
<td align="center">0.0 (0)</td>
<td align="center">0.2 (1)</td>
<td align="center">0.0 (0)</td>
<td align="center">0.7822</td>
</tr>
<tr>
<td align="left">Antidepressants</td>
<td align="center">632</td>
<td align="center">2.1 (13)</td>
<td align="center">0.0 (0)</td>
<td align="center">2.4 (10)</td>
<td align="center">2.6 (3)</td>
<td align="center">0.3138</td>
</tr>
<tr>
<td colspan="7" align="left">Kidney data</td>
</tr>
<tr>
<td align="left">Kidney length right (mm) (mean &#xb1; SD)</td>
<td align="center">575</td>
<td align="center">112.0 &#xb1; 9.2</td>
<td align="center">112.5 &#xb1; 13.6</td>
<td align="center">112.4 &#xb1; 8.2</td>
<td align="center">110.5 &#xb1; 8.5</td>
<td align="center">
<bold>0.041</bold>
</td>
</tr>
<tr>
<td align="left">Kidney length left (mm)<break/>(Mean &#xb1; SD)</td>
<td align="center">574</td>
<td align="center">112.6 &#xb1; 9.6</td>
<td align="center">112.2 &#xb1; 14.3</td>
<td align="center">113.1 &#xb1; 8.7</td>
<td align="center">111.3 &#xb1; 8.2</td>
<td align="center">
<bold>0.0049</bold>
</td>
</tr>
<tr>
<td align="left">MAG3-clearance (mL/min/1.73m<sup>2</sup>)</td>
<td align="center">513</td>
<td align="center">232.2 &#xb1; 44.4</td>
<td align="center">254.9 &#xb1; 43.0</td>
<td align="center">232.9 &#xb1; 44.2</td>
<td align="center">212.6 &#xb1; 37.1</td>
<td align="center">
<bold>&#x3c;0.001</bold>
</td>
</tr>
<tr>
<td align="left">Renal function right side (%, mean &#xb1; DS)</td>
<td align="center">559</td>
<td align="center">0.50 &#xb1; 0.04</td>
<td align="center">0.50 &#xb1; 0.04</td>
<td align="center">0.50 &#xb1; 0.04</td>
<td align="center">0.50 &#xb1; 0.04</td>
<td align="center">0.5434</td>
</tr>
<tr>
<td align="left">Renal function left side (%, mean &#xb1; SD)</td>
<td align="center">559</td>
<td align="center">0.50 &#xb1; 0.04</td>
<td align="center">0.50 &#xb1; 0.04</td>
<td align="center">0.50 &#xb1; 0.04</td>
<td align="center">0.50 &#xb1; 0.04</td>
<td align="center">0.5282</td>
</tr>
<tr>
<td align="left">Renal function donated kidney (%, mean &#xb1; SD)</td>
<td align="center">559</td>
<td align="center">0.49 &#xb1; 0.04</td>
<td align="center">0.48 &#xb1; 0.04</td>
<td align="center">0.49 &#xb1; 0.04</td>
<td align="center">0.49 &#xb1; 0.04</td>
<td align="center">0.8883</td>
</tr>
<tr>
<td align="left">Hematuria</td>
<td align="center">628</td>
<td align="center">9.6 (60)</td>
<td align="center">4.3 (4)</td>
<td align="center">11.2 (47)</td>
<td align="center">7.9 (9)</td>
<td align="center">0.1005</td>
</tr>
<tr>
<td align="left">Proteinuria<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref> (g/L)<break/>(Median IQR)</td>
<td align="center">613</td>
<td align="center">0.037 (0.018&#x2013;0.065)</td>
<td align="center">0.034 (0.013&#x2013;0.067)</td>
<td align="center">0.037 (0.0195&#x2013;0.0645)</td>
<td align="center">0.043 (0.020&#x2013;0.062)</td>
<td align="center">0.626</td>
</tr>
<tr>
<td align="left">Proteinuria<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref> &#x3e;0.15 (g/L)</td>
<td align="center">613</td>
<td align="center">2.9 (18)</td>
<td align="center">5.6 (5)</td>
<td align="center">2.9 (12)</td>
<td align="center">0.91 (1)</td>
<td align="center">0.1408</td>
</tr>
<tr>
<td align="left">Pre-donation biopsy</td>
<td align="center">631</td>
<td align="center">2.2 (14)</td>
<td align="center">0.0 (0)</td>
<td align="center">2.1 (9)</td>
<td align="center">4.3 (5)</td>
<td align="center">0.1039</td>
</tr>
<tr>
<td align="left">Donated kidney left side</td>
<td align="center">598</td>
<td align="center">53.0 (318)</td>
<td align="center">46.0 (55)</td>
<td align="center">53.0 (216)</td>
<td align="center">50.0 (56)</td>
<td align="center">0.8000</td>
</tr>
<tr>
<td align="left">Median follow-up years (Md, IQR)</td>
<td align="center">632</td>
<td align="center">12.3 (8.8&#x2013;16.2)</td>
<td align="center">13.9 (10.0&#x2013;18.6)</td>
<td align="center">12.1 (8.6&#x2013;16.2)</td>
<td align="center">11.8 (8.6&#x2013;14.9)</td>
<td align="center">
<bold>0.0046</bold>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Continuous variables are presented as mean &#xb1; standard deviation (SD), and group comparisons were performed using the non-parametric Kruskal-Wallis test. Categorical variables are shown as percentages with the absolute number in parentheses, and were compared using the Chi-square test or Fisher&#x2019;s exact test, as appropriate. A p-value less than 0.05 was considered statistically significant.</p>
</fn>
<fn>
<p>Abbreviations: BMI -Body Mass Index; Obesity class I: BMI, 30&#x2013;34.9&#xa0;kg/m<sup>2</sup>; Obesity class II: BMI, 35&#x2013;39.9&#xa0;kg/m<sup>2</sup>; Obesity class III: BMI &#x2265;40&#xa0;kg/m<sup>2</sup>. BP: blood pressure; SPB: COPD: chronic obstructive pulmonary disease; MAG3: Mercaptoacetyltriglycine (renal scintigraphy agent); NSAIDs: Non-Steroidal Anti-Inflammatory Drugs; n&#x2013;number; SD: standard deviation.</p>
</fn>
<fn>
<p>Bold values indicate statistical significance.</p>
</fn>
<fn id="Tfn1">
<label>
<sup>a</sup>
</label>
<p>Measured in spot urine samples.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Overall, 62.5% were female, ranging from 53.9% among donors &#x3e;60 years of age to 71.0% in the youngest group. Nearly two-thirds were related to their recipients (392/632; 62.0%), most frequently parent-to-child, especially mother-to-son (16.9%), <xref ref-type="table" rid="T1">Table 1</xref>.</p>
<p>The median follow-up time after donation was 12&#xa0;years (IQR 9&#x2013;16).</p>
</sec>
<sec id="s3-2">
<title>Cardiometabolic History and Baseline Renal Findings</title>
<p>Cardiometabolic profiles showed clear age-related trends. Mean BMI was comparable across all groups, but overweight and obesity were more common in older donors. Smoking was more prevalent in younger individuals, while hypertension and the use of antihypertensives increased with age. Accordingly, office and 24-h blood pressure measurements were higher in older donors. Dyslipidemia and thyroid disorders also increased with age (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<p>Hematuria was observed in 9.6% of donors and occurred more frequently in female than male donors (12.8% vs. 4.2%). In cases of unexplained hematuria, a pre-donation kidney biopsy was performed in 14 donors. Histopathological findings were generally mild and major glomerulopathies were excluded. Thin basement membrane alterations were reported in 3 donors.</p>
</sec>
<sec id="s3-3">
<title>History of Malignancy and Psychiatric Disorders</title>
<p>A history of malignancy was documented in 14 donors (2.2%), including breast cancer (n &#x3d; 2), cervical cancer (n &#x3d; 3), colon cancer (n &#x3d; 1), papillary thyroid carcinoma (n &#x3d; 1), renal cell carcinoma (n &#x3d; 1), seminoma (n &#x3d; 1), appendiceal carcinoid tumor (n &#x3d; 1), pleural tumor (n &#x3d; 1), and basal cell carcinoma (n &#x3d; 3). Psychiatric disorders were reported in 16 donors (2.5%), predominantly depressive disorders (n &#x3d; 12), followed by bipolar disorder (n &#x3d; 2), panic attacks (n &#x3d; 1), and adjustment disorder/burnout (n &#x3d; 1). The prevalence of these comorbidities at baseline and at long-term follow-up is shown in <xref ref-type="fig" rid="F1">Figure 1</xref>, both overall and stratified by age group (&#x3c;40, 40&#x2013;60, &#x3e;60 years).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Prevalence of comorbidities at baseline and at long-term follow-up after living kidney donation. Stacked horizontal bar plots show the percentage of donors with selected comorbidities before donation (blue) and at last follow-up (yellow), presented overall and by age group (&#x3c;40, 40&#x2013;60, &#x3e;60 years).</p>
</caption>
<graphic xlink:href="ti-39-16266-g001.tif">
<alt-text content-type="machine-generated">Sankey diagrams compare changes in KDIGO GFR categories from baseline to follow-up in three age groups: under forty, forty to sixty, and over sixty years. Transition paths show most individuals move to lower GFR categories as age increases, with the oldest group showing the greatest shift to categories below sixty.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-4">
<title>Descriptive Course of Kidney Function</title>
<p>Baseline-eGFR decreased progressively with age and fell by 0.58&#xa0;mL/min/1.73&#xa0;m<sup>2</sup> per year of age (&#x3b2; &#x3d; &#x2212;0.58; 95% CI &#x2212;0.67 to &#x2212;0.48; p &#x3d; 3.26 &#xd7; 10<sup>&#x2212;2</sup>), which corresponds to &#x2212;5.76&#xa0;mL/min/1.73&#xa0;m<sup>2</sup> per decade.</p>
<p>During the study, CKDepi eGFR decreased from 95.8 &#xb1; 14.3 to 66.5 &#xb1; 16.6&#xa0;mL/min/1.73&#xa0;m<sup>2</sup> (&#x394;-30.6%, p &#x3c; 0.001, <xref ref-type="table" rid="T2">Table 2</xref>). This decline was observed in all age groups but was most pronounced in donors &#x3e;60 years (&#x2212;35.1%, p &#x3c; 0.001). Transitions between eGFR categories are shown in <xref ref-type="fig" rid="F2">Figure 2</xref>. Within the first year after donation, eGFR decreased by an average of 26.0% (&#x394;&#x2013;22.4% &#x3c; 40&#xa0;years; 24.9% 40&#x2013;60&#xa0;years; &#x2212;31.8% &#x3e; 60&#xa0;years) and remained stable with minimal long-term change (&#x2b;0.4%, &#x2212;1.2%, &#x2b;3.2%, respectively), <xref ref-type="fig" rid="F3">Figure 3</xref>.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Longitudinal Changes in Laboratory Parameters, stratified by Age.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Laboratory Values</th>
<th align="center">Group</th>
<th align="center">Baseline (mean &#xb1; SD)</th>
<th align="center">Last follow-up (mean &#xb1; SD)</th>
<th align="center">p-value (longitudinal)</th>
<th align="center">p-value (age groups)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="4" align="left">CKDepi GFR (mL/min/1.73m<sup>2</sup>)</td>
<td align="center">Total</td>
<td align="center">95.8 &#xb1; 14.3</td>
<td align="center">66.5 &#xb1; 16.6</td>
<td align="center">&#x3c;0.001</td>
<td align="center">
<bold>&#x3c;0.001</bold>
</td>
</tr>
<tr>
<td align="center">&#x3c;40</td>
<td align="center">104.9 &#xb1; 19.3</td>
<td align="center">77.9 &#xb1; 19.5</td>
<td align="center">&#x3c;0.001</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="center">40&#x2013;60</td>
<td align="center">96.3 &#xb1; 12.6</td>
<td align="center">66.7 &#xb1; 15.0</td>
<td align="center">&#x3c;0.001</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="center">&#x3e;60</td>
<td align="center">86.7 &#xb1; 11.0</td>
<td align="center">56.3 &#xb1; 13.3</td>
<td align="center">&#x3c;0.001</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td rowspan="4" align="left">MDRD GFR (mL/min/1.73m<sup>2</sup>)</td>
<td align="center">Total</td>
<td align="center">100.6 &#xb1; 20.7</td>
<td align="center">62.3 &#xb1; 15.2</td>
<td align="center">&#x3c;0.001</td>
<td align="center">
<bold>&#x3c;0.001</bold>
</td>
</tr>
<tr>
<td align="center">&#x3c;40</td>
<td align="center">107.0 &#xb1; 27.0</td>
<td align="center">69.8 &#xb1; 15.5</td>
<td align="center">&#x3c;0.001</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="center">40&#x2013;60</td>
<td align="center">100.5 &#xb1; 19.2</td>
<td align="center">61.9 &#xb1; 14.4</td>
<td align="center">&#x3c;0.001</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="center">&#x3e;60</td>
<td align="center">95.8 &#xb1; 18.6</td>
<td align="center">57.4 &#xb1; 15.5</td>
<td align="center">&#x3c;0.001</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td rowspan="4" align="left">Creatinine (mg/dL)</td>
<td align="center">Total</td>
<td align="center">0.78 &#xb1; 0.16</td>
<td align="center">1.07 &#xb1; 0.32</td>
<td align="center">&#x3c;0.001</td>
<td align="center">
<bold>0.001</bold>
</td>
</tr>
<tr>
<td align="center">&#x3c;40</td>
<td align="center">0.79 &#xb1; 0.19</td>
<td align="center">0.99 &#xb1; 0.22</td>
<td align="center">&#x3c;0.001</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="center">40&#x2013;60</td>
<td align="center">0.78 &#xb1; 0.15</td>
<td align="center">1.06 &#xb1; 0.33</td>
<td align="center">&#x3c;0.001</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="center">&#x3e;60</td>
<td align="center">0.79 &#xb1; 0.16</td>
<td align="center">1.14 &#xb1; 0.30</td>
<td align="center">&#x3c;0.001</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td rowspan="4" align="left">Cholesterol (mg/dL)</td>
<td align="center">Total</td>
<td align="center">203 &#xb1; 41</td>
<td align="center">208 &#xb1; 38</td>
<td align="center">0.287</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="center">&#x3c;40</td>
<td align="center">202 &#xb1; 42</td>
<td align="center">191 &#xb1; 39</td>
<td align="center">0.0584</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="center">40&#x2013;60</td>
<td align="center">206 &#xb1; 40</td>
<td align="center">210 &#xb1; 36</td>
<td align="center">0.746</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="center">&#x3e;60</td>
<td align="center">196 &#xb1; 44</td>
<td align="center">210 &#xb1; 40</td>
<td align="center">0.00168</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td rowspan="4" align="left">LDL cholesterol (mg/dL)</td>
<td align="center">Total</td>
<td align="center">126 &#xb1; 32</td>
<td align="center">120 &#xb1; 35</td>
<td align="center">0.0084</td>
<td align="center">0.616</td>
</tr>
<tr>
<td align="center">&#x3c;40</td>
<td align="center">118 &#xb1; 37</td>
<td align="center">123 &#xb1; 34</td>
<td align="center">0.0614</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="center">40&#x2013;60</td>
<td align="center">127 &#xb1; 31</td>
<td align="center">120 &#xb1; 35</td>
<td align="center">0.0668</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="center">&#x3e;60</td>
<td align="center">126 &#xb1; 32</td>
<td align="center">115 &#xb1; 36</td>
<td align="center">0.0005</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td rowspan="4" align="left">HDL cholesterol (mg/dL)</td>
<td align="center">Total</td>
<td align="center">59 &#xb1; 16</td>
<td align="center">59 &#xb1; 17</td>
<td align="center">0.1502</td>
<td align="center">0.093</td>
</tr>
<tr>
<td align="center">&#x3c;40</td>
<td align="center">55 &#xb1; 17</td>
<td align="center">57 &#xb1; 17</td>
<td align="center">0.7374</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="center">40&#x2013;60</td>
<td align="center">60 &#xb1; 17</td>
<td align="center">59 &#xb1; 18</td>
<td align="center">0.0459</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="center">&#x3e;60</td>
<td align="center">59 &#xb1; 15</td>
<td align="center">61 &#xb1; 16</td>
<td align="center">0.5115</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td rowspan="4" align="left">Triglycerides (mg/dL)</td>
<td align="center">Total</td>
<td align="center">114 &#xb1; 73</td>
<td align="center">139 &#xb1; 123</td>
<td align="center">&#x3c;0.001</td>
<td align="center">0.370</td>
</tr>
<tr>
<td align="center">&#x3c;40</td>
<td align="center">101 &#xb1; 73</td>
<td align="center">129 &#xb1; 81</td>
<td align="center">0.0066</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="center">40&#x2013;60</td>
<td align="center">117 &#xb1; 76</td>
<td align="center">144 &#xb1; 134</td>
<td align="center">&#x3c;0.001</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="center">&#x3e;60</td>
<td align="center">110 &#xb1; 58</td>
<td align="center">130 &#xb1; 104</td>
<td align="center">0.0826</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td rowspan="4" align="left">TSH (mU/L)</td>
<td align="center">Total</td>
<td align="center">1.48 &#xb1; 1.44</td>
<td align="center">1.82 &#xb1; 1.20</td>
<td align="center">&#x3c;0.001</td>
<td align="center">0.891</td>
</tr>
<tr>
<td align="center">&#x3c;40</td>
<td align="center">1.84 &#xb1; 1.18</td>
<td align="center">2.06 &#xb1; 1.59</td>
<td align="center">0.0982</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="center">40&#x2013;60</td>
<td align="center">1.45 &#xb1; 1.58</td>
<td align="center">1.73 &#xb1; 0.97</td>
<td align="center">&#x3c;0.001</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="center">&#x3e;60</td>
<td align="center">1.33 &#xb1; 0.97</td>
<td align="center">2.00 &#xb1; 1.57</td>
<td align="center">0.0016</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td rowspan="4" align="left">Hemoglobin (g/dL)</td>
<td align="center">Total</td>
<td align="center">14.07 &#xb1; 1.29</td>
<td align="center">14.02 &#xb1; 1.51</td>
<td align="center">0.7636</td>
<td align="center">0.139</td>
</tr>
<tr>
<td align="center">&#x3c;40</td>
<td align="center">13.86 &#xb1; 1.41</td>
<td align="center">13.97 &#xb1; 1.74</td>
<td align="center">0.2376</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="center">40&#x2013;60</td>
<td align="center">14.08 &#xb1; 1.30</td>
<td align="center">14.11 &#xb1; 1.46</td>
<td align="center">0.1775</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="center">&#x3e;60</td>
<td align="center">14.15 &#xb1; 1.10</td>
<td align="center">13.70 &#xb1; 1.49</td>
<td align="center">0.0092</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td rowspan="4" align="left">HbA1c (%)</td>
<td align="center">Total</td>
<td align="center">5.45 &#xb1; 0.40</td>
<td align="center">5.56 &#xb1; 0.58</td>
<td align="center">&#x3c;0.001</td>
<td align="center">0.440</td>
</tr>
<tr>
<td align="center">&#x3c;40</td>
<td align="center">5.34 &#xb1; 0.37</td>
<td align="center">5.36 &#xb1; 0.55</td>
<td align="center">0.301</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="center">40&#x2013;60</td>
<td align="center">5.42 &#xb1; 0.38</td>
<td align="center">5.59 &#xb1; 0.64</td>
<td align="center">&#x3c;0.001</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="center">&#x3e;60</td>
<td align="center">5.62 &#xb1; 0.43</td>
<td align="center">5.57 &#xb1; 0.58</td>
<td align="center">0.905</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td rowspan="4" align="left">Urea (mg/dL)</td>
<td align="center">Total</td>
<td align="center">27.8 &#xb1; 7.6</td>
<td align="center">35.2 &#xb1; 13.6</td>
<td align="center">&#x3c;0.001</td>
<td align="center">
<bold>&#x3c;0.001</bold>
</td>
</tr>
<tr>
<td align="center">&#x3c;40</td>
<td align="center">26.2 &#xb1; 7.5</td>
<td align="center">30.3 &#xb1; 9.7</td>
<td align="center">&#x3c;0.001</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="center">40&#x2013;60</td>
<td align="center">27.8 &#xb1; 7.8</td>
<td align="center">34.9 &#xb1; 12.9</td>
<td align="center">&#x3c;0.001</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="center">&#x3e;60</td>
<td align="center">29.3 &#xb1; 6.5</td>
<td align="center">39.9 &#xb1; 16.9</td>
<td align="center">&#x3c;0.001</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td rowspan="4" align="left">Phosphate (mg/dL)</td>
<td align="center">Total</td>
<td align="center">1.03 &#xb1; 0.23</td>
<td align="center">1.06 &#xb1; 0.32</td>
<td align="center">0.102</td>
<td align="center">0.230</td>
</tr>
<tr>
<td align="center">&#x3c;40</td>
<td align="center">1.05 &#xb1; 0.18</td>
<td align="center">1.01 &#xb1; 0.32</td>
<td align="center">0.265</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="center">40&#x2013;60</td>
<td align="center">1.03 &#xb1; 0.24</td>
<td align="center">1.06 &#xb1; 0.30</td>
<td align="center">0.0304</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="center">&#x3e;60</td>
<td align="center">1.02 &#xb1; 0.21</td>
<td align="center">1.09 &#xb1; 0.41</td>
<td align="center">0.563</td>
<td align="center">&#x200b;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Mean &#xb1; SD, values represent the average laboratory measurements and their Standard deviation (SD) for each parameter, stratified by age group and timepoint (baseline before donation and long-term follow-up. Longitudinal comparisons between T0 and LFUP, within each age group were performed using paired Wilcoxon signed-rank tests to assess whether changes over time are statistically significant. Between-group comparisons at the LFUP, timepoint were conducted using.</p>
</fn>
<fn>
<p>Kruskal-Wallis tests to evaluate differences across age groups. P-values are reported for both the longitudinal and between-group (age group) tests. A p-value less than 0.05 was considered statistically significant.</p>
</fn>
<fn>
<p>Abbreviations: Hb&#x2013;hemoglobin; Hct&#x2013;hematocrit; MDRD GFR, glomerular filtration rate estimated by Modification of Diet in Renal Disease equation; CKDepi GFR, glomerular filtration rate estimated by Chronic Kidney Disease Epidemiology Collaboration equation; HbA1c&#x2013;glycated hemoglobin A1c; HDL, high-density lipoprotein; LDL, low-density lipoprotein; n - number; iPTH, intact parathyroid hormone; TSH, thyroid-stimulating hormone.</p>
</fn>
<fn>
<p>Bold values indicate statistical significance.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Transition of CKD stages before donation and at long-term follow-up in donors &#x3c;40 years, 40-60 years and &#x3e;60 years. Alluvial plots show transitions of donors between KDIGO eGFR categories (&#x3e;90, 60&#x2013;90, 45&#x2013;60, 30&#x2013;45, &#x3c;30&#xa0;mL/min/1.73&#xa0;m<sup>2</sup>) from baseline (left) to last follow-up (right) in three age groups: &#x3c;40 years, 40&#x2013;60 years, and &#x3e;60 years. The width of each flow represents the number of donors moving between categories.</p>
</caption>
<graphic xlink:href="ti-39-16266-g002.tif">
<alt-text content-type="machine-generated">Three side-by-side Sankey diagrams compare changes in KDIGO GFR categories from baseline to follow-up for age groups under forty, forty to sixty, and over sixty years. Each diagram displays flows among GFR categories (&#x003e;90, 60&#x2013;90, 30&#x2013;60, &#x003c;30), with most younger individuals remaining in higher GFR categories, while older groups show greater transitions to lower GFR categories at follow-up.</alt-text>
</graphic>
</fig>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Changes in estimated glomerular filtration rate (eGFR, CKDepi) after living kidney donation. Top panel: Boxplots show eGFR (mL/min/1.73&#xa0;m<sup>2</sup>) at baseline (blue), 1 year after donation (yellow), and long-term follow-up (pink) overall and by donor age group (&#x3c;40, 40&#x2013;60, &#x3e;60 years). Numbers within boxes indicate group medians. Bottom panel: Median percent decline in eGFR relative to baseline (year 1) and relative to year 1&#xa0;at long-term follow-up. Values represent median (interquartile range). The greatest early decline occurred in donors &#x3e;60 years (&#x2212;28% at year 1), with minimal further change thereafter.</p>
</caption>
<graphic xlink:href="ti-39-16266-g003.tif">
<alt-text content-type="machine-generated">Line graph showing estimated mean eGFR (CKD-EPI) in mL/min/1.73 m&#xB2; on the y-axis and years since donation on the x-axis, with three lines representing age groups at donation: less than forty (blue), forty to sixty (green), and greater than sixty (red). All groups show a steep decline in eGFR immediately after donation, followed by a gradual decline over time, with younger donors maintaining higher eGFR than older donors throughout the 12-year period. Shaded areas around each line represent confidence intervals.</alt-text>
</graphic>
</fig>
<p>Across longitudinal follow-up, older age at donation was associated with lower eGFR values (&#x2212;0.65&#xa0;mL/min/1.73&#xa0;m<sup>2</sup> per year of age, p &#x3c; 0.001), whereas the rate of eGFR decline did not differ by age group (interaction p &#x3d; 0.54). Donors with hypertension demonstrated the largest early decline and slightly lower long-term eGFR values (<xref ref-type="fig" rid="F4">Figure 4</xref>).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Change in eGFR from baseline after living kidney donation according to cardiometabolic risk profile and age. Mean &#x394;eGFR from baseline at 1 year and long-term follow-up is shown for donors with no risk factors, hypertension, obesity, or both obesity and hypertension, stratified by age group (&#x3c;40, 40&#x2013;60, &#x3e;60 years). All groups demonstrate the expected early decline in eGFR after donation followed by relative stabilization. Error bars indicate 95% confidence intervals.</p>
</caption>
<graphic xlink:href="ti-39-16266-g004.tif">
<alt-text content-type="machine-generated">Bar chart graphic with two panels comparing incidence rates of kidney function decline across different risk profiles by age, BMI, and hypertension status. The upper panel shows incidence of at least fifty percent GFR decline, with higher rates observed in individuals older than sixty, especially those with hypertension and BMI at least thirty. The lower panel presents incidence of eGFR less than forty-five milliliters per minute per 1.73 square meters, again highest in individuals older than sixty with both risk factors. Favorable profile shows lowest incidence in both panels. Color-coded sections indicate age groups.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-5">
<title>&#x2265; 50% Decline in eGFR at Long-Term Follow-Up and Prevalence of eGFR &#x3c;45&#xa0;mL/min/1.73&#xa0;m<sup>2</sup>
</title>
<p>A &#x2265;50% eGFR decline at long-term was detected in 6.8% of donors, with the prevalence increasing sharply with age (4.8% &#x3c; 40 years, 5.3% 40&#x2013;60 years, 14.4% &#x3e; 60 years, p &#x3d; 0.0053), <xref ref-type="table" rid="T3">Table 3</xref>. Even among younger donors, the incidence ranged from 3.0% in donors with a favorable profile to 14.3% in donors with both hypertension and obesity. In older donors, the risk was 12.5% in donors without risk factors, 22.4% in donors with one risk factor, and 45.5% in hypertensive obese donors (<xref ref-type="fig" rid="F5">Figure 5</xref>).</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Long-Term Outcome after Living Kidney Donation, stratified by Age.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Outcome</th>
<th align="center">Total cohort</th>
<th align="center">&#x3c;40 years</th>
<th align="center">40&#x2013;60 years</th>
<th align="center">&#x3e;60 years</th>
<th align="center">p-value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">&#x2265;50% eGFR decline</td>
<td align="center">6.8 (40)</td>
<td align="center">4.8 (4)</td>
<td align="center">5.3 (21)</td>
<td align="center">14.4 (15)</td>
<td align="left">
<bold>0.0053</bold>
<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>
</td>
</tr>
<tr>
<td align="left">eGFR &#x3c;45&#xa0;mL/min/1.73&#xa0;m<sup>2</sup>
</td>
<td align="center">8.0 (47)</td>
<td align="center">1.0 (1)</td>
<td align="center">5.5 (21)</td>
<td align="center">20.4 (25)</td>
<td align="left">
<bold>&#x3c;0.001</bold>
</td>
</tr>
<tr>
<td align="left">eGFR &#x3c;30&#xa0;mL/min/1.73&#xa0;m<sup>2</sup>
</td>
<td align="center">1.2 (7)</td>
<td align="center">1.2 (1)</td>
<td align="center">1.0 (4)</td>
<td align="center">1.9 (2)</td>
<td align="left">0.6090<xref ref-type="table-fn" rid="Tfn2">
<sup>a</sup>
</xref>
</td>
</tr>
<tr>
<td align="left">Renal replacement therapy</td>
<td align="center">0.2 (2)</td>
<td align="center">0.1 (1)</td>
<td align="center">0.2 (1)</td>
<td align="center">0.0 (0)</td>
<td align="left">&#x2014;</td>
</tr>
<tr>
<td align="left">MACE (composite)</td>
<td align="center">4.3 (27)</td>
<td align="center">2.2 (2)</td>
<td align="center">4.0 (17)</td>
<td align="center">7.0 (8)</td>
<td align="left">0.2300<xref ref-type="table-fn" rid="Tfn3">
<sup>b</sup>
</xref>
</td>
</tr>
<tr>
<td align="left">Myocardial infarction</td>
<td align="center">0.6 (4)</td>
<td align="center">0.1 (1)</td>
<td align="center">0.7 (3)</td>
<td align="center">0.0 (0)</td>
<td align="left">0.3968</td>
</tr>
<tr>
<td align="left">Stroke</td>
<td align="center">1.7 (11)</td>
<td align="center">0.0 (0)</td>
<td align="center">1.2 (6)</td>
<td align="center">4.3 (5)</td>
<td align="left">
<bold>0.0432</bold>
</td>
</tr>
<tr>
<td align="left">Cardiovascular death</td>
<td align="center">0.3 (2)</td>
<td align="center">0.0 (0)</td>
<td align="center">0.2 (1)</td>
<td align="center">0.9 (1)</td>
<td align="left">0.4603</td>
</tr>
<tr>
<td align="left">Peripheral artery disease events</td>
<td align="center">1.4 (9)</td>
<td align="center">1.2 (1)</td>
<td align="center">0.7 (5)</td>
<td align="center">1.7 (3)</td>
<td align="left">0.7045</td>
</tr>
<tr>
<td align="left">Death</td>
<td align="center">3.3 (21)</td>
<td align="center">0.0 (0)</td>
<td align="center">2.6 (11)</td>
<td align="center">8.7 (10)</td>
<td align="left">
<bold>0.0012</bold>
<xref ref-type="table-fn" rid="Tfn3">
<sup>b</sup>
</xref>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="Tfn2">
<label>
<sup>a</sup>
</label>
<p>Trend p-value (Cochran&#x2013;Armitage).</p>
</fn>
<fn id="Tfn3">
<label>
<sup>b</sup>
</label>
<p>Group p-value (chi-square/Fisher, as appropriate).</p>
</fn>
<fn>
<p>eGFR, estimated glomerular filtration rate; MACE, major adverse cardiac event.</p>
</fn>
<fn>
<p>Bold values indicate statistical significance.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Incidence of adverse renal outcomes by age group and baseline risk profile. Bar plots show the percentage of donors who developed (top) &#x2265; 50% eGFR decline from baseline and (bottom) an eGFR &#x3c;45&#xa0;mL/min/1.73&#xa0;m<sup>2</sup> at long-term follow-up. Results are stratified by age group (&#x3c;40, 40&#x2013;60, &#x3e;60 years) and baseline risk profile. &#x201c;Favorable profile&#x201d; &#x3d; age &#x3c;40 years, BMI &#x3c;25&#xa0;kg/m<sup>2</sup>, and no hypertension. The combination of older age (&#x3e;60 years), baseline hypertension, and BMI &#x2265;30&#xa0;kg/m<sup>2</sup> was associated with the highest incidence of both outcomes, reaching 22.4% for &#x2265;50% eGFR decline and 45.5% for eGFR &#x3c;45&#xa0;mL/min/1.73&#xa0;m<sup>2</sup>.</p>
</caption>
<graphic xlink:href="ti-39-16266-g005.tif">
<alt-text content-type="machine-generated">Forest plot chart presenting odds ratios, confidence intervals, and p-values for risk factors of greater than or equal to fifty percent GFR decline and eGFR less than forty-five milliliters per minute per 1.73 square meters at follow-up. Statistically significant factors include baseline hypertension, thyroid disease, tumor during follow-up, and time since donation for GFR decline, as well as baseline hypertension and baseline eGFR for low eGFR outcome.</alt-text>
</graphic>
</fig>
<p>eGFR &#x3c;45&#xa0;mL/min/1.73&#xa0;m<sup>2</sup> was identified in 8.0% of donors, with the prevalence increasing sharply with age (1.2% &#x3c; 40 years, 5.3% 40&#x2013;60 years, 20.4% &#x3e; 60 years). The incidence of an eGFR &#x3c;45&#xa0;mL/min/1.73&#xa0;m<sup>2</sup> rose further with the presence of risk factors such as hypertension and obesity. In older donors, the risk was 12.5% in donors without risk factors, 22.4% in donors with one risk factor, and 45.5% in hypertensive obese donors (<xref ref-type="fig" rid="F4">Figure 5</xref>).</p>
</sec>
<sec id="s3-6">
<title>Factors Associated With a &#x2265;50% Decline in eGFR at Long-Term Follow-Up</title>
<p>In the univariate analysis (<xref ref-type="table" rid="T4">Table 4</xref>), age at donation strongly predicted a &#x2265;50% decline in eGFR: each additional year increased the probability (&#x2248;odds) of a substantial GFR loss by about 4.7% (OR 1.047, p &#x3d; 0.006). Donors &#x3e;60 years had a more than three times higher risk compared to donors &#x3c;40 years (OR 3.34, p &#x3d; 0.038).</p>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Univariate Logistic Regression Analysis of Predictors for eGFR Decline &#x2265;50% at Long-Term Follow-Up.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Characteristics</th>
<th align="center">OR</th>
<th align="center">95%-CI</th>
<th align="center">p</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td colspan="4" align="left">Demographics</td>
</tr>
<tr>
<td align="left">Age (years) at donation</td>
<td align="center">1.047</td>
<td align="center">1.013; 1.082</td>
<td align="center">
<bold>0.006</bold>
</td>
</tr>
<tr>
<td align="left">&#x3c;40 years</td>
<td align="center">Reference</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">40-60 years</td>
<td align="center">1.159</td>
<td align="center">0.388:3.460</td>
<td align="center">0.791</td>
</tr>
<tr>
<td align="left">&#x3e;60 years</td>
<td align="center">3.337</td>
<td align="center">1.068; 10.427</td>
<td align="center">
<bold>0.038</bold>
</td>
</tr>
<tr>
<td align="left">Male gender</td>
<td align="center">1.043</td>
<td align="center">0.583; 2.163</td>
<td align="center">0.736</td>
</tr>
<tr>
<td align="left">BMI (kg/m<sup>2</sup>)</td>
<td align="center">1.016</td>
<td align="center">0.940; 1.099</td>
<td align="center">0.684</td>
</tr>
<tr>
<td align="left">BMI &#x3e;30&#xa0;kg/m<sup>2</sup>
</td>
<td align="center">1.243</td>
<td align="center">0.555; 2.786</td>
<td align="center">0.597</td>
</tr>
<tr>
<td align="left">Active smoker</td>
<td align="center">1.046</td>
<td align="center">0.480; 2.279</td>
<td align="center">0.909</td>
</tr>
<tr>
<td colspan="4" align="left">Blood pressure parameters</td>
</tr>
<tr>
<td align="left">Mean arterial pressure (mmHg)</td>
<td align="center">1.040</td>
<td align="center">1.009; 1.072</td>
<td align="center">
<bold>0.012</bold>
</td>
</tr>
<tr>
<td align="left">Systolic BP (mmHg)</td>
<td align="center">1.030</td>
<td align="center">1.010; 1.050</td>
<td align="center">
<bold>0.003</bold>
</td>
</tr>
<tr>
<td align="left">Diastolic BP (mmHg)</td>
<td align="center">1.029</td>
<td align="center">0.992; 1.067</td>
<td align="center">0.124</td>
</tr>
<tr>
<td align="left">24h systolic BP (mmHg)</td>
<td align="center">1.035</td>
<td align="center">1.009; 1.062</td>
<td align="center">
<bold>0.009</bold>
</td>
</tr>
<tr>
<td align="left">24h diastolic BP (mmHg)</td>
<td align="center">1.035</td>
<td align="center">0.992; 1.081</td>
<td align="center">
<bold>0.112</bold>
</td>
</tr>
<tr>
<td colspan="4" align="left">History of comorbidities</td>
</tr>
<tr>
<td align="left">Hypertension</td>
<td align="center">3.557</td>
<td align="center">1.744; 7.256</td>
<td align="center">
<bold>&#x3c;0.001</bold>
</td>
</tr>
<tr>
<td align="left">Prediabetes</td>
<td align="center">1.075</td>
<td align="center">0.246; 4.696</td>
<td align="center">0.923</td>
</tr>
<tr>
<td align="left">Hyperlipidemia</td>
<td align="center">1.580</td>
<td align="center">0.592; 4.217</td>
<td align="center">0.361</td>
</tr>
<tr>
<td align="left">Metabolic syndrome</td>
<td align="center">0.935</td>
<td align="center">0.219; 2.730</td>
<td align="center">0.931</td>
</tr>
<tr>
<td align="left">Thyroid disease</td>
<td align="center">2.910</td>
<td align="center">1.419; 5.965</td>
<td align="center">
<bold>0.004</bold>
</td>
</tr>
<tr>
<td align="left">Cardiovascular disease</td>
<td align="center">3.010</td>
<td align="center">0.34; 26.36</td>
<td align="center">0.321</td>
</tr>
<tr>
<td align="left">Malignant diseases</td>
<td align="center">1.14</td>
<td align="center">0.15; 8.94</td>
<td align="center">0.901</td>
</tr>
<tr>
<td align="left">COPD/Asthma/Chronic bronchitis</td>
<td align="center">1.344</td>
<td align="center">0.305&#x2013;5,932</td>
<td align="center">0.696</td>
</tr>
<tr>
<td colspan="4" align="left">Medication use</td>
</tr>
<tr>
<td align="left">Antihypertensive medication</td>
<td align="center">2.19</td>
<td align="center">1.133; 4.246</td>
<td align="center">
<bold>0.020</bold>
</td>
</tr>
<tr>
<td align="left">Number of antihypertensives</td>
<td align="center">1.390</td>
<td align="center">0.981; 1.969</td>
<td align="center">
<bold>0.064</bold>
</td>
</tr>
<tr>
<td align="left">Lipid-lowering drugs</td>
<td align="center">2.99</td>
<td align="center">1.085; 8.236</td>
<td align="center">
<bold>0.034</bold>
</td>
</tr>
<tr>
<td align="left">Thyroid medication</td>
<td align="center">2.527</td>
<td align="center">1.183; 5.394</td>
<td align="center">
<bold>0.017</bold>
</td>
</tr>
<tr>
<td colspan="4" align="left">Baseline laboratory</td>
</tr>
<tr>
<td align="left">Creatinine (mg/dL)</td>
<td align="center">0.730</td>
<td align="center">0.095; 5.583</td>
<td align="center">0.761</td>
</tr>
<tr>
<td align="left">MDRD eGFR (mL/min/1.73&#xa0;m<sup>2</sup>)</td>
<td align="center">0.997</td>
<td align="center">0.981; 1.012</td>
<td align="center">0.666</td>
</tr>
<tr>
<td align="left">CKDepi eGFR (mL/min/1.73&#xa0;m<sup>2</sup>)</td>
<td align="center">0.991</td>
<td align="center">0.970; 1.013</td>
<td align="center">0.433</td>
</tr>
<tr>
<td align="left">Cockroft-gault-eGFR (mL/min)</td>
<td align="center">0.991</td>
<td align="center">0.979; 1.003</td>
<td align="center">0.168</td>
</tr>
<tr>
<td align="left">MAG3-clearance (mL/min/1.73m<sup>2</sup>)</td>
<td align="center">0.996</td>
<td align="center">0.988; 1.004</td>
<td align="center">
<bold>0.302</bold>
</td>
</tr>
<tr>
<td align="left">Creatinine-clearance (mL/min/1.73m<sup>2</sup>)</td>
<td align="center">0.989</td>
<td align="center">0.976; 1.002</td>
<td align="center">
<bold>0.094</bold>
</td>
</tr>
<tr>
<td align="left">Hemoglobin (g/dL)</td>
<td align="center">1.089</td>
<td align="center">0.846; 1.402</td>
<td align="center">0.509</td>
</tr>
<tr>
<td align="left">Cholesterol (mg/dL)</td>
<td align="center">0.995</td>
<td align="center">0.986; 1.004</td>
<td align="center">0.256</td>
</tr>
<tr>
<td align="left">Triglycerids (mg/dL)</td>
<td align="center">0.999</td>
<td align="center">0.993; 1.004</td>
<td align="center">0.680</td>
</tr>
<tr>
<td align="left">LDL cholesterol (mg/dL)</td>
<td align="center">0.995</td>
<td align="center">0.982; 1.007</td>
<td align="center">0.413</td>
</tr>
<tr>
<td align="left">HDL cholesterol (mg/dL)</td>
<td align="center">0.992</td>
<td align="center">0.967; 1.018</td>
<td align="center">0.539</td>
</tr>
<tr>
<td align="left">Blood glucose (mg/dL)</td>
<td align="center">1.000</td>
<td align="center">0.979; 1.023</td>
<td align="center">0.968</td>
</tr>
<tr>
<td align="left">HbA1c (%)</td>
<td align="center">1.312</td>
<td align="center">0.517; 3.376</td>
<td align="center">0.561</td>
</tr>
<tr>
<td align="left">TSH (&#xb5;IU/mL)</td>
<td align="center">1.170</td>
<td align="center">0.997; 1.374</td>
<td align="center">0.055</td>
</tr>
<tr>
<td align="left">Phosphate</td>
<td align="center">1.399</td>
<td align="center">0.370; 5.291</td>
<td align="center">0.806</td>
</tr>
<tr>
<td align="left">iPTH</td>
<td align="center">1.011</td>
<td align="center">0.652; 1.567</td>
<td align="center">0.962</td>
</tr>
<tr>
<td align="left">Urea (mg/dL)</td>
<td align="center">0.994</td>
<td align="center">0.951; 1.040</td>
<td align="center">0.806</td>
</tr>
<tr>
<td align="left">Urine albumine (mg/L)</td>
<td align="center">0.983</td>
<td align="center">0.863; 1.121</td>
<td align="center">0.803</td>
</tr>
<tr>
<td colspan="4" align="left">Urine protein (g/L)</td>
</tr>
<tr>
<td align="left">&#x2003;&#x3c;0.03&#xa0;g/L</td>
<td align="center">Reference</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">&#x2003;0,03-0.15&#xa0;g/L</td>
<td align="center">1.008</td>
<td align="center">0.518; 1.986</td>
<td align="center">0.981</td>
</tr>
<tr>
<td align="left">&#x2003;&#x3e;0.15&#xa0;g/L</td>
<td align="center">3.348</td>
<td align="center">0.872; 12.858</td>
<td align="center">0.078</td>
</tr>
<tr>
<td colspan="4" align="left">Long-term follow-up data</td>
</tr>
<tr>
<td align="left">Time since donation (months)</td>
<td align="center">1.006</td>
<td align="center">1.002&#x2013;1.011</td>
<td align="center">
<bold>0.002</bold>
</td>
</tr>
<tr>
<td align="left">Age at follow-up (years)</td>
<td align="center">1.075</td>
<td align="center">1.040; 1.112</td>
<td align="center">
<bold>&#x3c;0.001</bold>
</td>
</tr>
<tr>
<td colspan="4" align="left">Comorbidities</td>
</tr>
<tr>
<td align="left">Hypertension</td>
<td align="center">2.136</td>
<td align="center">1.001; 4.560</td>
<td align="center">
<bold>0.049</bold>
</td>
</tr>
<tr>
<td align="left">Diabetes mellitus</td>
<td align="center">9.200</td>
<td align="center">0.213; 3.964</td>
<td align="center">0.910</td>
</tr>
<tr>
<td align="left">Hyperlipidemia</td>
<td align="center">1.693</td>
<td align="center">0.872; 3.286</td>
<td align="center">
<bold>0.120</bold>
</td>
</tr>
<tr>
<td align="left">Thyroid disease</td>
<td align="center">6.280</td>
<td align="center">0.273; 1.445</td>
<td align="center">0.273</td>
</tr>
<tr>
<td align="left">Cardiovascular disease</td>
<td align="center">2.320</td>
<td align="center">0.927; 5.806</td>
<td align="center">0.072</td>
</tr>
<tr>
<td align="left">Malignant diseases</td>
<td align="center">2.391</td>
<td align="center">1.095; 5.223</td>
<td align="center">
<bold>0.029</bold>
</td>
</tr>
<tr>
<td align="left">Major cardiovascular events</td>
<td align="center">-</td>
<td align="center">0.00-lnf</td>
<td align="center">0.984</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Bold values indicate statistical significance.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Among preexisting comorbidities, hypertension and thyroid disease proved to be significant predictors, while hyperlipidemia, cardiovascular disease, and prediabetes were not predictive. The use of antihypertensive, lipid-lowering, and thyroid medications were also linked to a higher risk.</p>
<p>Each additional month since donation, increased the risk. Older age at follow-up also remained a strong predictor. At long-term follow-up, hypertension (both preexisting and new-onset) was associated with GFR loss, and the presence of malignancy also increased the risk.</p>
</sec>
<sec id="s3-7">
<title>Factors Associated With an eGFR &#x3c;45&#xa0;mL/min/m<sup>2</sup> at Long-Term Follow-Up</title>
<p>Older age at donation increased the long-term risk of an eGFR &#x3c;45&#xa0;mL/min/1.73&#xa0;m<sup>2</sup> by approximately 10.6% per years (OR 1.11, p &#x3c; 0.001), <xref ref-type="table" rid="T5">Table 5</xref>. Donors older than 60&#xa0;years had a substantially higher risk compared with those younger than 40&#xa0;years (OR 6.62, p &#x3c; 0.001). Pre-existing hypertension was associated with an approximately twofold increased risk of an eGFR &#x3c;45&#xa0;mL/min/1.73&#xa0;m<sup>2</sup> (OR 2.07, p &#x3d; 0.002. A similar increase was observed for hyperlipidemia (OR 2.40, p &#x3d; 0.036). Thyroid disease was also associated with a significantly higher risk of reduced eGFR (OR 2.30, p &#x3d; 0.020).</p>
<table-wrap id="T5" position="float">
<label>TABLE 5</label>
<caption>
<p>Univariate Logistic Regression Analysis: eGFR CKDepi &#x3c;45&#xa0;mL/min/1.73 m2 at Long-Term Follow-Up.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Characteristics</th>
<th align="center">OR</th>
<th align="center">95%-CI</th>
<th align="center">p</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td colspan="4" align="left">Demographics</td>
</tr>
<tr>
<td align="left">Age (years) at donation</td>
<td align="center">1.11</td>
<td align="center">[1.07; 1.15]</td>
<td align="center">
<bold>&#x3c;0.001</bold>
</td>
</tr>
<tr>
<td align="left">&#x3c;40 years</td>
<td align="center">Reference</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">40-60 years</td>
<td align="center">4.794</td>
<td align="center">[0.637; 36.098]</td>
<td align="center">
<bold>0.128</bold>
</td>
</tr>
<tr>
<td align="left">&#x3e;60 years</td>
<td align="center">6.62</td>
<td align="center">[3.56; 12.31]</td>
<td align="center">
<bold>&#x3c;0.001</bold>
</td>
</tr>
<tr>
<td align="left">Male gender</td>
<td align="center">1.256</td>
<td align="center">[0.688; 2.294]</td>
<td align="center">0.458</td>
</tr>
<tr>
<td align="left">BMI (kg/m<sup>2</sup>)</td>
<td align="center">1.028</td>
<td align="center">[0.958; 1.104]</td>
<td align="center">0.441</td>
</tr>
<tr>
<td align="left">BMI &#x3e;30&#xa0;kg/m<sup>2</sup>
</td>
<td align="center">1.707</td>
<td align="center">[0.855; 3.409]</td>
<td align="center">0.130</td>
</tr>
<tr>
<td align="left">Active smoker</td>
<td align="center">0.540</td>
<td align="center">[0.236; 1.234]</td>
<td align="center">0.144</td>
</tr>
<tr>
<td colspan="4" align="left">Blood pressure parameters</td>
</tr>
<tr>
<td align="left">Mean arterial pressure (mmHg)</td>
<td align="center">1.039</td>
<td align="center">1.010; 1.069</td>
<td align="center">
<bold>0.008</bold>
</td>
</tr>
<tr>
<td align="left">Systolic BP (mmHg)</td>
<td align="center">1.032</td>
<td align="center">1.014; 1.051</td>
<td align="center">
<bold>&#x3c;0.001</bold>
</td>
</tr>
<tr>
<td align="left">Diastolic BP (mmHg)</td>
<td align="center">1.024</td>
<td align="center">0.990; 1.059</td>
<td align="center">0.175</td>
</tr>
<tr>
<td align="left">24h SBP (mmHg)</td>
<td align="center">1.033</td>
<td align="center">1.009; 1.057</td>
<td align="center">
<bold>0.008</bold>
</td>
</tr>
<tr>
<td align="left">24h DBP (mmHg)</td>
<td align="center">1.022</td>
<td align="center">0.984; 1.062</td>
<td align="center">
<bold>0.255</bold>
</td>
</tr>
<tr>
<td colspan="4" align="left">Comorbidities</td>
</tr>
<tr>
<td align="left">Hypertension</td>
<td align="center">2.073</td>
<td align="center">1.130; 3.802</td>
<td align="center">
<bold>0.002</bold>
</td>
</tr>
<tr>
<td align="left">Prediabetes</td>
<td align="center">1.890</td>
<td align="center">0.631; 5.661</td>
<td align="center">0.256</td>
</tr>
<tr>
<td align="left">Hyperlipidemia</td>
<td align="center">2.399</td>
<td align="center">1.059; 5.437</td>
<td align="center">
<bold>0.036</bold>
</td>
</tr>
<tr>
<td align="left">Metabolic syndrome</td>
<td align="center">1.150</td>
<td align="center">0.333; 3.030</td>
<td align="center">
<bold>0.799</bold>
</td>
</tr>
<tr>
<td align="left">Thyroid disease</td>
<td align="center">2.296</td>
<td align="center">1.142; 4.617</td>
<td align="center">
<bold>0.020</bold>
</td>
</tr>
<tr>
<td align="left">Cardiovascular disease</td>
<td align="center">1.47</td>
<td align="center">0.50; 4.36</td>
<td align="center">0.484</td>
</tr>
<tr>
<td align="left">Malignant diseases</td>
<td align="center">2.119</td>
<td align="center">0.460; 9.759</td>
<td align="center">0.335</td>
</tr>
<tr>
<td align="left">COPD/Asthma/Chronic bronchitis</td>
<td align="center">-</td>
<td align="center">0.000; lnf</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td colspan="4" align="left">Medication use</td>
</tr>
<tr>
<td align="left">Antihypertensive medication</td>
<td align="center">2.493</td>
<td align="center">1.355; 4.586</td>
<td align="center">
<bold>0.003</bold>
</td>
</tr>
<tr>
<td align="left">Number of antihypertensives</td>
<td align="center">1.474</td>
<td align="center">1.073; 2.024</td>
<td align="center">
<bold>0.017</bold>
</td>
</tr>
<tr>
<td align="left">Lipid-lowering drugs</td>
<td align="center">3.920</td>
<td align="center">1.598; 9.617</td>
<td align="center">
<bold>0.003</bold>
</td>
</tr>
<tr>
<td align="left">Thyreoid medication</td>
<td align="center">2.021</td>
<td align="center">0.962; 4.246</td>
<td align="center">0.063</td>
</tr>
<tr>
<td colspan="4" align="left">Baseline laboratory</td>
</tr>
<tr>
<td align="left">Creatinine (mg/dL)</td>
<td align="center">53.750</td>
<td align="center">8.808; 327.982</td>
<td align="center">
<bold>&#x3c;0.001</bold>
</td>
</tr>
<tr>
<td align="left">MDRD eGFR (mL/min/1.73&#xa0;m<sup>2</sup>)</td>
<td align="center">0.953</td>
<td align="center">0.936; 0.970</td>
<td align="center">
<bold>&#x3c;0.001</bold>
</td>
</tr>
<tr>
<td align="left">CKDepi eGFR (mL/min/1.73&#xa0;m<sup>2</sup>)</td>
<td align="center">0.924</td>
<td align="center">0.903; 0.946</td>
<td align="center">
<bold>&#x3c;0.001</bold>
</td>
</tr>
<tr>
<td align="left">Cockroft-gault eGFR (mL/min)</td>
<td align="center">0.962</td>
<td align="center">0.947; 0.977</td>
<td align="center">
<bold>&#x3c;0.001</bold>
</td>
</tr>
<tr>
<td align="left">MAG3-clearance (mL/min/1.73m<sup>2</sup>)</td>
<td align="center">0.992</td>
<td align="center">0.984; 0.999</td>
<td align="center">0.2500</td>
</tr>
<tr>
<td align="left">Creatinine-clearance (mL/min/1.73m<sup>2</sup>)</td>
<td align="center">0.985</td>
<td align="center">0.972; 0.997</td>
<td align="center">0.1600</td>
</tr>
<tr>
<td colspan="4" align="left">Hemoglobin (g/dL)</td>
</tr>
<tr>
<td align="left">Cholesterol (mg/dL)</td>
<td align="center">0.997</td>
<td align="center">0.989; 1.005</td>
<td align="center">0.432</td>
</tr>
<tr>
<td align="left">Triglycerids (mg/dL)</td>
<td align="center">0.998</td>
<td align="center">0.993:1.003</td>
<td align="center">0.484</td>
</tr>
<tr>
<td align="left">LDL cholesterol</td>
<td align="center">0.995</td>
<td align="center">0.984; 1.021</td>
<td align="center">0.964</td>
</tr>
<tr>
<td align="left">HDL cholesterol (mg/dL)</td>
<td align="center">1.000</td>
<td align="center">0.978; 1.337</td>
<td align="center">0.074</td>
</tr>
<tr>
<td align="left">Blood glucose</td>
<td align="center">1.012</td>
<td align="center">0.993; 1.031</td>
<td align="center">0.210</td>
</tr>
<tr>
<td align="left">HBA1c (%)</td>
<td align="center">2.017</td>
<td align="center">0.863; 4.710</td>
<td align="center">0.105</td>
</tr>
<tr>
<td align="left">TSH (mU/mL)</td>
<td align="center">1.149</td>
<td align="center">0.987; 1.337</td>
<td align="center">0.074</td>
</tr>
<tr>
<td align="left">Urea (mg/dL)</td>
<td align="center">1.022</td>
<td align="center">0.983; 1.062</td>
<td align="center">0.280</td>
</tr>
<tr>
<td align="left">Urine albumine (mg/L)</td>
<td align="center">1.020</td>
<td align="center">0.927; 1.124</td>
<td align="center">0.681</td>
</tr>
<tr>
<td colspan="4" align="left">Urine protein (g/L)</td>
</tr>
<tr>
<td align="left">&#x2003;&#x3c;0.03&#xa0;g/L</td>
<td align="center">Reference</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">&#x2003;0,03&#x2013;0.15&#xa0;g/L</td>
<td align="center">0.956</td>
<td align="center">0.523; 1.750</td>
<td align="center">0.885</td>
</tr>
<tr>
<td align="left">&#x2003;&#x3e;0.15&#xa0;g/L</td>
<td align="center">0.729</td>
<td align="center">0.092; 5.772</td>
<td align="center">0.765</td>
</tr>
<tr>
<td colspan="4" align="left">Long-term follow-up data</td>
</tr>
<tr>
<td align="left">Time since donation (months)</td>
<td align="center">1.002</td>
<td align="center">0.998; 1.006</td>
<td align="center">0.401</td>
</tr>
<tr>
<td align="left">Age at follow-up (years)</td>
<td align="center">1.105</td>
<td align="center">1.069; 1.006</td>
<td align="center">
<bold>&#x3c;0.001</bold>
</td>
</tr>
<tr>
<td colspan="4" align="left">Comorbidities</td>
</tr>
<tr>
<td align="left">Hypertension</td>
<td align="center">2.319</td>
<td align="center">1.133; 4.746</td>
<td align="center">
<bold>0.021</bold>
</td>
</tr>
<tr>
<td align="left">Diabetes mellitus</td>
<td align="center">0.768</td>
<td align="center">0.179; 3.292</td>
<td align="center">0.722</td>
</tr>
<tr>
<td align="left">Hyperlipidemia</td>
<td align="center">1.948</td>
<td align="center">1.060; 3.578</td>
<td align="center">
<bold>0.032</bold>
</td>
</tr>
<tr>
<td align="left">Thyroid disease</td>
<td align="center">1.087</td>
<td align="center">0.527; 2.243</td>
<td align="center">0.821</td>
</tr>
<tr>
<td align="left">Cardiovascular disease</td>
<td align="center">2.794</td>
<td align="center">1.232; 6.336</td>
<td align="center">
<bold>0.014</bold>
</td>
</tr>
<tr>
<td align="left">Malignant diseases</td>
<td align="center">1.381</td>
<td align="center">0.597:3.195</td>
<td align="center">0.451</td>
</tr>
<tr>
<td align="left">Major cardiovascular events</td>
<td align="center">0.996</td>
<td align="center">0.228; 4.338</td>
<td align="center">0.995</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>BMI, Body Mass Index; BP, blood pressure; CI, confidence interval; CKDepi eGFR, glomerular filtration rate estimated by Chronic Kidney Disease Epidemiology Collaboration equation; COPD, chronic obstructive pulmonary disease; GFR, glomerular filtration rate; HbA1c&#x2013;glycated hemoglobin A1c; HDL, high-density lipoprotein; LDL, low-density lipoprotein; MDRD eGFR, glomerular filtration rate estimated by Modification of Diet in Renal Disease equation; TSH, thyroid-stimulating hormone; OR, odds ratio: p&#x2013;significance p.</p>
</fn>
<fn>
<p>Bold values indicate statistical significance.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>A lower baseline GFR as measured by MDRD, CKDepi, and Cockcroft-Gault formulas predicted a higher risk (all p &#x3c; 0.001).</p>
<p>At long-term follow-up, older age continued to increase the risk by approximately 10.5% per year. Hypertension, hyperlipidemia, and malignant diseases were also significantly associated with increased risk.</p>
<p>In the multivariate analysis, age at donation, hypertension and baseline eGFR (OR 0.93), remained independent predictors (<xref ref-type="fig" rid="F6">Figure 6</xref>).</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Multivariable logistic regression for adverse renal outcomes after living kidney donation. Forest plots display adjusted odds ratios (ORs) with 95% confidence intervals for predictors of (top) eGFR &#x3c;45&#xa0;mL/min/1.73&#xa0;m<sup>2</sup> at long-term follow up and (bottom) &#x2265;50% eGFR decline from baseline at long-term follow-up.</p>
</caption>
<graphic xlink:href="ti-39-16266-g006.tif">
<alt-text content-type="machine-generated">Bar chart showing prevalence percentages for nine comorbidities at baseline and follow-up, categorized by overall, under forty, forty to sixty, and over sixty years old, with hypertension highest and rates increasing with age.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-8">
<title>Determinants of Early Post-Donation eGFR-Decline</title>
<p>In multivariable linear regression analyses with absolute early eGFR change (&#x394;eGFR 0&#x2013;12&#xa0;months) as the dependent variable, baseline eGFR showed the strongest association with early decline (standardized &#x3b2; &#x3d; &#x2212;0.29, p &#x3c; 0.001). Age at donation was independently associated with early decline but with a smaller effect size (standardized &#x3b2; &#x3d; &#x2212;0.16, p &#x3d; 0.002). Hypertension showed a modest additional association (standardized &#x3b2; &#x3d; &#x2212;0.10, p &#x3d; 0.023), whereas BMI and donation era were not independently associated with early eGFR change. When early eGFR change was expressed as a percentage of baseline function, age at donation and baseline eGFR showed comparable but smaller effect sizes (standardized &#x3b2; &#x3d; &#x2212;0.16 and &#x2212;0.12, respectively), while BMI and donation era remained non-significant.</p>
</sec>
<sec id="s3-9">
<title>Clinical Consequences and Preservation of Kidney Function</title>
<p>Severe renal impairment was rare, an eGFR &#x3c;30&#xa0;mL/min/1.73&#xa0;m<sup>2</sup> was observed in 1.2% and &#x3c;15&#xa0;mL/min/1.73&#xa0;m<sup>2</sup> in 0.3% of donors. Two patients required renal replacement therapy. Preservation of renal function (&#x2264;20% decline) was noted in 20.0% overall (32.4% in donors &#x3c;40 years, 22.0% in donors 40&#x2013;60 years, and 15.4% in donors &#x3e;60 years).</p>
<p>MACE occurred in 4.3% (n &#x3d; 27) of donors (<xref ref-type="table" rid="T2">Table 2</xref>), increasing with age (mean age at donation 55&#xa0;years) and longer follow-up.</p>
<p>Twenty-one deaths occurred predominantly among older donors (mean age 73 &#xb1; 8.7&#xa0;years at death), with malignancies accounting for 52.4%. Median time from donation to death was 14&#xa0;years (IQR 10&#x2013;19). Overall long-term survival was high across all age groups (<xref ref-type="table" rid="T3">Table 3</xref>).</p>
</sec>
<sec id="s3-10">
<title>Longitudinal Changes in Laboratory Parameters</title>
<p>Glycemic control remained stable, although HbA1c levels increased slightly within the normal range from 5.45% &#xb1; 0.40% to 5.56% &#xb1; 0.58% (p &#x3c; 0.001), mainly in donors aged 40&#x2013;60 years.</p>
<p>Total cholesterol levels remained largely stable across the entire cohort, except for a small but significant increase in older donors (p &#x3d; 0.0017), <xref ref-type="table" rid="T2">Table 2</xref>. Hemoglobin and hematocrit showed minimal changes, apart from a mild decline in hemoglobin among donors &#x3e;60&#xa0;years (p &#x3d; 0.0092), <xref ref-type="table" rid="T2">Table 2</xref>.</p>
</sec>
<sec id="s3-11">
<title>Exploratory Risk Stratification Based on Baseline Donor Characteristics</title>
<p>An exploratory risk stratification was performed to describe patterns of long-term renal outcomes according to baseline donor characteristics. Using baseline variables that were independently associated with an eGFR &#x3c;45&#xa0;mL/min/1.73&#xa0;m<sup>2</sup>, including age (&#x3b2; &#x3d; 0.062 per year), hypertension (&#x3b2; &#x3d; 1.113), and baseline eGFR (&#x3b2; &#x3d; &#x2212;0.069 per mL/min/1.73&#xa0;m<sup>2</sup>), a composite risk score was constructed to summarize their combined effects.</p>
<p>A two-dimensional risk map illustrated the joint association of age, hypertension, and baseline eGFR with the prevalence of eGFR &#x3c;45&#xa0;mL/min/1.73&#xa0;m<sup>2</sup>, showing a progressive increase with advancing age and lower baseline kidney function, particularly among hypertensive donors (<xref ref-type="fig" rid="F7">Figure 7</xref>). When grouped into tertiles, the observed prevalence of eGFR &#x3c;45&#xa0;mL/min/1.73&#xa0;m<sup>2</sup> increased from 1.0% in the lowest to 20.0% in the highest risk category (<xref ref-type="fig" rid="F8">Figure 8A</xref>). Across age strata, predicted and observed prevalences were closely aligned (&#x3c;40&#xa0;years: 1.4% vs. 1.2%; 40&#x2013;60&#xa0;years: 5.8% vs. 5.3%; &#x3e;60&#xa0;years: 21.9% vs. 24.0%; <xref ref-type="fig" rid="F7">Figure 7B</xref>).</p>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption>
<p>Predicted long-term risk of an eGFR &#x3c;45&#xa0;mL/min/1.73&#xa0;m<sup>2</sup> after living kidney donation, according to age at donation, baseline eGFR, and presence of hypertension. Top panels: Heatmaps display the predicted probability (%) of developing an eGFR &#x3c;45&#xa0;mL/min/1.73&#xa0;m<sup>2</sup> at long-term follow-up based on the recalibrated risk model (risk score &#x3d; &#x2212;1.334 &#x2b; 0.062 &#xd7; Age &#x2b;1.113 &#xd7; Hypertension &#x2013; 0.069 &#xd7; baseline eGFR). Colors indicate risk level (green &#x3c;5%, yellow 5%&#x2013;10%, orange 10%&#x2013;20%, red &#x3e;20%). Left: donors without baseline hypertension; right: donors with hypertension. Bottom panels: Observed distribution of donors by age and baseline eGFR, stratified by baseline hypertension status; shading reflects donor density.</p>
</caption>
<graphic xlink:href="ti-39-16266-g007.tif">
<alt-text content-type="machine-generated">Heatmaps display recalibrated risk of eGFR below forty-five milliliters per minute per one point seven three square meters by age at donation, baseline GFR, and hypertension status; green indicates risk less than five percent, yellow five to ten percent, red greater than twenty percent. Individuals with hypertension exhibit higher predicted risks, especially at lower baseline GFR and older ages. Below, donor distributions by age and GFR are shown with darker purple indicating higher donor counts, separated by hypertension status.Let me know if you need alt text for a different image or additional context added.</alt-text>
</graphic>
</fig>
<fig id="F8" position="float">
<label>FIGURE 8</label>
<caption>
<p>
<bold>(A)</bold> Observed versus predicted prevalence of CKDepi eGFR &#x3c;45&#xa0;mL/min/1.73&#xa0;m<sup>2</sup> by risk-score groups. <bold>(B)</bold> Observed versus predicted prevalence of CKDepi eGFR &#x3c;45&#xa0;mL/min/1.73&#xa0;m<sup>2</sup> by age group. <bold>(A)</bold> Observed (blue) and predicted (orange) prevalence across low-, medium-, and high-risk tertiles. Predicted and observed rates (0.8% vs. 1.0%; 4.0% vs. 3.1%; 19.3% vs. 20.0%) confirmed accurate model calibration. <bold>(B)</bold> Model calibration across donor age categories (&#x3c;40, 40&#x2013;60, &#x3e;60 years). Observed and predicted prevalence were closely aligned (1.2% vs. 1.4%; 5.3% vs. 5.8%; 24.0% vs. 21.9%, respectively).</p>
</caption>
<graphic xlink:href="ti-39-16266-g008.tif">
<alt-text content-type="machine-generated">Side-by-side bar charts compare observed and predicted prevalence of eGFR (CKD-EPI) less than 45 milliliters per minute per 1.73 square meters at long-term follow-up. Panel A displays results by risk score groups, showing similar prevalence for high risk (20 percent observed, 19.3 percent predicted), low risk, and medium risk. Panel B displays results by age groups, noting the highest prevalence in donors over 60 years (24 percent observed, 21.9 percent predicted), with lower values in younger age groups.</alt-text>
</graphic>
</fig>
<p>Model discrimination was quantified for descriptive purposes and showed an AUC of 0.84 (95% CI 0.78&#x2013;0.89; <xref ref-type="fig" rid="F9">Figure 9</xref>).</p>
<fig id="F9" position="float">
<label>FIGURE 9</label>
<caption>
<p>Receiver operating characteristic (ROC) curve for prediction of CKDepi eGFR &#x3c;45&#xa0;mL/min/1.73&#xa0;m<sup>2</sup>. Observed (blue) and predicted (orange) prevalence across low-, medium-, and high-risk tertiles. Predicted and observed rates (0.8% vs. 1.0%; 4.0% vs. 3.1%; 19.3% vs. 20.0%) confirmed accurate model calibration.</p>
</caption>
<graphic xlink:href="ti-39-16266-g009.tif">
<alt-text content-type="machine-generated">Receiver operating characteristic (ROC) curve illustrating model performance, with area under the curve (AUC) of 0.836 and a confidence interval of 0.778 to 0.894, plotting sensitivity versus specificity.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-12">
<title>Cardiovascular Disease in Older Donors</title>
<p>Cardiovascular disease at baseline was uncommon overall but more frequent in older donors. Among donors &#x3e;60&#xa0;years, 19 of 115 (16.5%) had cardiovascular disease at baseline. Baseline kidney function was comparable between donors with and without cardiovascular disease. Long-term renal outcomes were also similar: eGFR &#x3c;45&#xa0;mL/min/1.73&#xa0;m<sup>2</sup> occurred in 21.1% versus 21.9%, and a &#x2265;50% decline in eGFR in 23.5% versus 13.8%, respectively. Major adverse cardiovascular events occurred in 10.5% versus 6.3%.</p>
</sec>
<sec id="s3-13">
<title>Outcome of Donors Aged &#x2265;70 years</title>
<p>Among donors aged &#x2265;70&#xa0;years (mean 72, range 70&#x2013;78&#xa0;years), 55% were male. Most donated to their children (45%) or partners (35%). The mean follow-up period was 10.1 &#xb1; 2.5&#xa0;years (range 7.1&#x2013;14.7). Baseline eGFR (CKDepi) was 84.7 &#xb1; 9.0&#xa0;mL/min/1.73&#xa0;m<sup>2</sup>, and 75% had at least one comorbidity, most commonly hypertension (65%), hyperlipidemia (30%), and cardiovascular disease (30%), <xref ref-type="table" rid="T6">Table 6</xref>.</p>
<table-wrap id="T6" position="float">
<label>TABLE 6</label>
<caption>
<p>Baseline characteristics and long-term outcome of living kidney donors aged &#x2265;70 years (n &#x3d; 21).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Parameter</th>
<th align="center">Baseline</th>
<th align="center">Last follow-up</th>
<th align="center">Significance baseline &#x2013; last follow up</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Hypertension</td>
<td align="center">65.0</td>
<td align="center">85.0</td>
<td align="center">0.125</td>
</tr>
<tr>
<td align="left">Diabetes mellitus</td>
<td align="center">0.0</td>
<td align="center">5.0</td>
<td align="center">0.004</td>
</tr>
<tr>
<td align="left">Prediabetes</td>
<td align="center">20.0</td>
<td align="center">35.0</td>
<td align="center">0.480</td>
</tr>
<tr>
<td align="left">Hyperlipidemia</td>
<td align="center">30.0</td>
<td align="center">50.0</td>
<td align="center">0.125</td>
</tr>
<tr>
<td align="left">Cardiovascular disease</td>
<td align="center">30.0</td>
<td align="center">40.0</td>
<td align="center">0.500</td>
</tr>
<tr>
<td align="left">Malignancy</td>
<td align="center">0.0</td>
<td align="center">10.0</td>
<td align="center">0.487</td>
</tr>
<tr>
<td align="left">Thyroid disease</td>
<td align="center">25.0</td>
<td align="center">25.0</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">COPD/Asthma/Chronic bronchitis</td>
<td align="center">0.0</td>
<td align="center">0.0</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">Impaired mental health</td>
<td align="center">5.0</td>
<td align="center">5.0</td>
<td align="center">0.997</td>
</tr>
<tr>
<td align="left">Family history of kidney disease</td>
<td align="center">40.0</td>
<td align="center">40.0</td>
<td align="center">0.998</td>
</tr>
<tr>
<td align="left">CKDepi GFR (mean &#x2b;/- SD)</td>
<td align="center">84.7 &#xb1; 9.0</td>
<td align="center">53.6 &#xb1; 14.7</td>
<td align="center">
<bold>&#x3c;0.01</bold>
</td>
</tr>
<tr>
<td align="left">Drop of 50% eGFR</td>
<td align="center">-</td>
<td align="center">18.75</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">eGFR &#x3c;45&#xa0;mL/min/1.73&#xa0;m<sup>2</sup>
</td>
<td align="center">0.0</td>
<td align="center">25.0</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">eGFR &#x3c;30&#xa0;mL/min/1.73&#xa0;m<sup>2</sup>
</td>
<td align="center">0.0</td>
<td align="center">0.0</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Renal replacement therapy</td>
<td align="center">0.0</td>
<td align="center">0.0</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Death</td>
<td align="center">-</td>
<td align="center">4.8</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Composite MACE</td>
<td align="center">0.0</td>
<td align="center">15.0</td>
<td align="center">0.25</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Continuous variables are presented as mean &#xb1; standard deviation (SD), and group comparisons were performed using the non-parametric Kruskal-Wallis test. Categorical variables are shown as percentages, and were compared using the Chi-square test or Fisher&#x2019;s exact test, as appropriate. A p-value less than 0.05 was considered statistically significant.</p>
</fn>
<fn>
<p>Abbreviations: CKDepi GFR, glomerular filtration rate estimated by Chronic Kidney Disease Epidemiology Collaboration equation; COPD, chronic obstructive pulmonary disease; eGFR, estimated glomerular filtration rate; MACE, major adverse cardiac event; SD, standard deviation.</p>
</fn>
<fn>
<p>Bold values indicate statistical significance.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>After donation, the mean eGFR decreased by 37.7% and subsequently remained stable (year 1: 54.5 &#xb1; 20.0&#xa0;mL/min/1.73&#xa0;m<sup>2</sup>&#xa0;at year one, last follow-up: 53.6 &#xb1; 14.7&#xa0;mL/min/1.73&#xa0;m<sup>2</sup>; mean age 82 years). A &#x2265;50% decline in eGFR occurred in 18.8%, and 25% had eGFR &#x3c;45&#xa0;mL/min/1.73&#xa0;m<sup>2</sup>, but none dropped below 30&#xa0;mL/min/1.73&#xa0;m<sup>2</sup> or required renal replacement therapy.</p>
<p>MACE occurred in 15%, while diabetes, malignancy, and psychiatric disorders were rare. One donor died from prostate cancer during long-term follow-up.</p>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>In this prospective caucasian cohort with long-term follow-up, living kidney donation demonstrated favorable clinical outcomes across a broad age spectrum. The mean donor age of 51 &#xb1; 11&#xa0;years was 5&#x2013;10&#xa0;years higher than in most international cohorts (e.g., US: 41 &#xb1; 12 years; New Zealand: median 44 years) [<xref ref-type="bibr" rid="B21">21</xref>&#x2013;<xref ref-type="bibr" rid="B23">23</xref>]. The donor population in this study closely resembled contemporary European cohorts, including the SoLKiD German National Registry (GNR) [<xref ref-type="bibr" rid="B24">24</xref>] and other European cohorts [<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>].</p>
<p>Importantly. living kidney donors do not represent a uniformly healthy cohort, but rather reflect an aging population and the gradual expansion of donor eligibility criteria driven by long waiting time for a brain-death donor due to donor shortage in Germany. Overweight and obesity were widespread, affecting 40.5% of donors and cardiometabolic risk factors were already prevalent at baseline. Hypertension was present in nearly half of donors, hyperlipidemia and prediabetes were less frequent, and approximately one-quarter of donors were active smokers, particularly among younger individuals. In contrast, established cardiovascular disease, malignancy, and mental health impairment were rare at the time of donation.</p>
<p>Women constituted 62.5% of donors, particularly in the youngest age group (71%), likely reflecting sociocultural factors and clinical considerations. This requires particular attention as donation by women of child-bearing age bears special risks due to potential pregnancy-related complications following nephrectomy [<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>]. Sex was not associated with long-term kidney function decline in this cohort, consistent with several prior studies, although sex-specific effects remain inconsistently reported in the literature [<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B28">28</xref>&#x2013;<xref ref-type="bibr" rid="B30">30</xref>]. Nearly two-thirds of donors were biologically related to their recipients, which may modestly increase long-term renal risk through shared genetic or environmental factors [<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B32">32</xref>].</p>
<p>A key finding is the clear separation between early post-donation kidney function changes and long-term trajectories. As expected, eGFR declined by approximately 26% within the first year after donation, consistent with physiological adaptation to nephrectomy. The magnitude of early eGFR decline during the first year after donation was largely driven by baseline eGFR and, to a lesser extent, by age and preexisting hypertension. Donors with higher baseline eGFR experienced greater absolute early declines, consistent with a physiological ceiling effect of renal adaptation [<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B34">34</xref>]. In stratified analyses, donors with obesity alone showed slightly higher baseline eGFR values and comparable long-term trajectories. This likely reflects selection effects and higher baseline renal reserve, as obese individuals are accepted for donation only after careful screening, and higher baseline eGFR may partly reflect adaptive hyperfiltration.</p>
<p>After this initial adaptive phase, kidney function remained stable over long-term follow-up across all age groups. This observation aligns with prior work describing rapid compensatory hyperfiltration within the first months to years after donation, followed by a plateau phase without evidence of progressive decline in most donors [<xref ref-type="bibr" rid="B35">35</xref>]. Given the comparatively high donor age in many European countries [<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B15">15</xref>], our analyses extend prior work by disentangling age-related differences in achieved post-donation kidney function from age-related differences in the rate of kidney function change over time. Linear mixed-effects models demonstrated that older age at donation was associated with lower eGFR values throughout follow-up, whereas the slope of eGFR change did not differ significantly by age. Thus, age primarily influenced the level of kidney function prior to donation and immediately after donation rather than accelerating post-donation decline. The average decline of 35.1% was comparable to previous studies reporting a post-donation GFR decrease of 25%&#x2013;40% with a similar or only marginally higher long-term risk of ESRD compared to the general population [<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B32">32</xref>]. Even among donors aged &#x2265;70&#xa0;years, severe renal impairment was rare, and no donor progressed to ESRD.</p>
<p>Long-term renal impairment, as assessed by two primary endpoints, followed a clear age-related gradient but remained clinically reassuring in terms of severe outcomes. The primary endpoint of an eGFR &#x3c;45&#xa0;mL/min/1.73&#xa0;m<sup>2</sup> - was observed in 8.0% overall, 20.4% in donors age &#x3e;60 years. Severe renal impairment was rare, with eGFR &#x3c;30&#xa0;mL/min/1.73&#xa0;m<sup>2</sup> in 1.2% and eGFR &#x3c;15&#xa0;mL/min/1.73&#xa0;m<sup>2</sup> in 0.3% of donors. The second primary endpoint - aGFR decline &#x2265;50% at long-term - occurred in 6.8% overall and increased with age (4.8% &#x3c; 40 years, 5.3% 40&#x2013;60&#xa0;years, 14.4% &#x3e; 60 years). Beyond age, renal risk was highly heterogeneous and strongly modified by baseline risk profile. In younger donors with favorable risk profiles (no hypertension, BMI &#x3c;25&#xa0;kg/m<sup>2</sup>), the prevalence of reduced eGFR was negligible, but increased to 4.5%&#x2013;10.6% in young donors with hypertension or obesity. In older donors, risk likewise varied considerably, ranging from low levels in donors without risk factors up to 45.5% in donors with hypertension and a BMI &#x2265;30&#xa0;kg/m<sup>2</sup>. These findings underscore that chronological age alone is insufficient for individualized risk assessment and that long-term renal outcomes after donation are shaped by the interaction between baseline renal reserve and comorbidity burden&#x2014;such that younger donors with adverse metabolic profiles may experience less favorable outcomes than some older but otherwise healthy donors.</p>
<p>Cardiovascular risk factors were also common in younger donors. Smoking was more prevalent among younger donors, whereas hypertension affected more than 65% of donors older than 60&#xa0;years at follow-up. Although cardiovascular disease was rare at donation, its prevalence increased over time, especially among older donors. At time of donation, only 0.9% had relevant cardiovascular disease, increasing to 6.6% overall and 16.5% among donors over 60&#xa0;years. Similarly, Colucci et al. reported only 3.2% new-onset cardiovascular disease after 10&#xa0;years of follow-up [<xref ref-type="bibr" rid="B25">25</xref>]. A Norwegian registry study observed a modestly increased risk of ischemic heart disease in donors (3.5%) compared with controls (1.7%) [<xref ref-type="bibr" rid="B36">36</xref>], while other large studies found no significant difference in cardiovascular morbidity and mortality between donors and healthy non-donors [<xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B38">38</xref>]. Overall, the available evidence suggests that living kidney donation, when donors are carefully selected and monitored, is not associated with a substantial excess cardiovascular risk. The observed rise in modifiable risk factors such as hypertension and hyperlipidemia over time underscores the importance of structured long-term care, including lifestyle counseling and optimized blood-pressure management.</p>
<p>Longitudinal follow-up highlighted additional clinically relevant aspects. Younger age does not protect against the development of new comorbidities, including mental health impairment, which remains an often underrecognized aspect of donor follow-up. Psychological screening and support should be integral components of long-term donor care, even for individuals initially classified as low risk. Similarly, the rise in malignancy incidence, particularly among older donors, appears age-related rather than donation-related but supports the need for age-appropriate cancer surveillance.</p>
<p>Finally, the present study explores whether data-informed approaches may help to characterize heterogenity of long-term renal risk after living kidney donation. While earlier models, such as that by Grams et al., estimated lifetime ESRD risk in potential donors [<xref ref-type="bibr" rid="B31">31</xref>], the present analyses addressed post-donation renal outcomes within a well-characterized donor cohort. Exploratory analyses suggested that a limited set of routinely available baseline clinical parameters - particularly baseline eGFR and hypertension status, togethter with age - captured a substantial proportion of the variation in long-term renal outcomes. Although not intended as a predictive tool, this approach illustrates how readily available clinical information may support more individualized counseling and risk-adapted follow-up strategies. Given that the HeiKiD approach was derived from a predominantly Caucasian European donor cohort, its applicability is likely most relevant to similar donor populations. Such approaches may complement clinical judgment but require external validation before broader application.</p>
<p>This study has limitations. The cohort represents caucasian donors mainly from Germany; however, donor characteristics were comparable to national and other European cohorts [<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>], suggesting reasonable generalizability within similar healthcare settings. In addition, the absence of a non-donor control group precludes direct estimation of donation-attributable risk. Accordingly, the observed outcomes describe post-donation trajectories within the donor population rather than comparative risk relative to non-donors.</p>
<p>In conclusion, this long-term prospective cohort demonstrates stable kidney function after the expected early adaptive decline following living kidney donation, even in an aging donor population. Clinically relevant renal impairment increased with age, yet severe renal impairment and renal replacement therapy were rare. Long-term outcomes were not driven by chronological age alone but reflected the combined influence of baseline renal reserve, hypertension, and comorbidity burden. Using a small number of routinely available clinical parameters, long-term renal risk could be meaningfully characterized, supporting individualized donor counseling and risk-adapted lifelong follow-up.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s5">
<title>Data Availability Statement</title>
<p>The datasets presented in this article are not readily available because partial restrictions apply to the availability of these data, which were used under license for the current study, and so are not publicly available. Requests to access the datasets should be directed to claudia.sommerer@med.uni-heidelberg.de.</p>
</sec>
<sec sec-type="ethics-statement" id="s6">
<title>Ethics Statement</title>
<p>The studies involving humans were approved by Ethics committee of the University Hospital Heidelberg. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec sec-type="author-contributions" id="s7">
<title>Author Contributions</title>
<p>CS designed and conducted the study, recruited patients, collected and analyzed data, and wrote the manuscript; IS collected and analyzed data, and wrote the manuscript; NK and ZB collected data; MZ recruited patients and supervised the study. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec sec-type="COI-statement" id="s9">
<title>Conflict of Interest</title>
<p>The authors(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="s10">
<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>
<ack>
<title>Acknowledgements</title>
<p>We thank the HeiKiD study group for their excellent support and all participating donors for their contribution.</p>
</ack>
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