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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">15429</article-id>
<article-id pub-id-type="doi">10.3389/ti.2025.15429</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>Evaluating Post-Transplant Outcomes in Elderly Liver Recipients Over 70: A Propensity-Score Matching Analysis</article-title>
<alt-title alt-title-type="left-running-head">Prosperi et al.</alt-title>
<alt-title alt-title-type="right-running-head">Outcomes of Liver Recipients &#x2265;70</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Prosperi</surname>
<given-names>Edoardo</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3127329"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Prosperi</surname>
<given-names>Enrico</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1059747"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Serenari</surname>
<given-names>Matteo</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>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Bonatti</surname>
<given-names>Chiara</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Fallani</surname>
<given-names>Guido</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Stocco</surname>
<given-names>Alberto</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Radi</surname>
<given-names>Giorgia</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Mirici Cappa</surname>
<given-names>Federica</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Laici</surname>
<given-names>Cristiana</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Siniscalchi</surname>
<given-names>Antonio</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Morelli</surname>
<given-names>Maria Cristina</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ravaioli</surname>
<given-names>Matteo</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1831617"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Cescon</surname>
<given-names>Matteo</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1604262"/>
</contrib>
</contrib-group>
<aff id="aff1">
<label>1</label>
<institution>Department of Medical and Surgical Sciences, Alma Mater Studiorum, University of Bologna</institution>, <city>Bologna</city>, <country country="IT">Italy</country>
</aff>
<aff id="aff2">
<label>2</label>
<institution>Hepatobiliary and Transplant Unit, IRCSS, Azienda Ospedaliero-Universitaria di Bologna</institution>, <city>Bologna</city>, <country country="IT">Italy</country>
</aff>
<aff id="aff3">
<label>3</label>
<institution>Internal Medicine Unit for the Treatment of Severe Organ Failure, IRCCS Azienda Ospedaliero-Universitaria di Bologna</institution>, <city>Bologna</city>, <country country="IT">Italy</country>
</aff>
<aff id="aff4">
<label>4</label>
<institution>Post-Surgical and Transplant Intensive Care Unit, Department of Digestive, Hepatic and Endocrine-Metabolic Diseases, IRCCS Azienda Ospedaliero-Universitaria di Bologna</institution>, <city>Bologna</city>, <country country="IT">Italy</country>
</aff>
<author-notes>
<corresp id="c001">
<label>&#x2a;</label>Correspondence: Enrico Prosperi, <email xlink:href="mailto:enrico.prosperi@studio.unibo.it">enrico.prosperi@studio.unibo.it</email>; Matteo Serenari, <email xlink:href="mailto:matteo.serenari3@unibo.it">matteo.serenari3@unibo.it</email>
</corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-11-24">
<day>24</day>
<month>11</month>
<year>2025</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>38</volume>
<elocation-id>15429</elocation-id>
<history>
<date date-type="received">
<day>13</day>
<month>08</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>21</day>
<month>10</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>10</day>
<month>11</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Prosperi, Prosperi, Serenari, Bonatti, Fallani, Stocco, Radi, Mirici Cappa, Laici, Siniscalchi, Morelli, Ravaioli and Cescon.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Prosperi, Prosperi, Serenari, Bonatti, Fallani, Stocco, Radi, Mirici Cappa, Laici, Siniscalchi, Morelli, Ravaioli and Cescon</copyright-holder>
<license>
<ali:license_ref start_date="2025-11-24">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>The rising prevalence of Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) and Hepatocellular Carcinoma in the elderly population has increased the demand for liver transplantation (LT) in patients over 70&#xa0;years. Advanced age, however, is still considered an independent risk factor. This study aims to evaluate post-transplant oucomes in patients aged over 70&#xa0;years, traditionally viewed as an age limit for transplant. We retrospectively analyzed 584 LT recipients (36 aged &#x2265;70, 548 aged &#x3c;70). Viral cirrhosis was more frequent in the younger group (36.1% vs. 13.1%), while MASLD was more common in those over 70 (25% vs. 13.1%) (p &#x3d; 0.013). Model for End-Stage Liver Disease (MELD) scores were lower in patients over 70 (13, IQR 9&#x2013;17) compared to the younger group (15, IQR 10&#x2013;23) (p &#x3d; 0.032). Propensity score matching (3:1 ratio, without replacement) was performed based on MELD and cirrhosis etiology. After matching, no significant differences were found in postoperative outcomes, overall survival, or graft survival. Our findings demonstrate that carefully selected patients over 70 can achieve post-transplant outcomes comparable to younger patients. Advanced age alone should not be considered an absolute contraindication; instead, a comprehensive, multidimensional assessment is essential to identify suitable candidates.</p>
</abstract>
<abstract abstract-type="graphical">
<title>Graphical Abstract</title>
<p>
<fig>
<graphic xlink:href="TI_ti-2025-15429_wc_abs.tif" position="anchor">
<alt-text content-type="machine-generated">Analysis of post-transplant outcomes in liver recipients over seventy, focusing on MASLD, HCC, and life expectancy. A study evaluates 584 transplants from 2018-2023, using propensity-score matching. Outcomes for patients over seventy show increased MASLD and decreased MELD scores compared to younger recipients, with similar postoperative complications. Conclusion: In well-selected elderly patients, overall survival post-transplant is comparable to younger individuals. Study by Edoardo Prosperi, published in Transplant International 2025.</alt-text>
</graphic>
</fig>
</p>
</abstract>
<kwd-group>
<kwd>MASLD</kwd>
<kwd>propensity score matching</kwd>
<kwd>liver transplant recipients</kwd>
<kwd>elderly recipients</kwd>
<kwd>MELD score</kwd>
</kwd-group>
<funding-group>
<funding-statement>The authors declare that no financial support was received for the research and/or publication of this article.</funding-statement>
</funding-group>
<counts>
<fig-count count="4"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="26"/>
<page-count count="10"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Liver transplant (LT) is the only curative treatment for end-stage liver disease (ESLD). Globally, along with a longer life expectancy, the prevalence of Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) and Hepatocellular Carcinoma (HCC) is rising in patients older than 65&#xa0;years old [<xref ref-type="bibr" rid="B1">1</xref>&#x2013;<xref ref-type="bibr" rid="B3">3</xref>], resulting in an increased number of liver transplants performed in this group. This trend is observed both in the United States and in Europe [<xref ref-type="bibr" rid="B4">4</xref>&#x2013;<xref ref-type="bibr" rid="B7">7</xref>]. Notably, older LT candidates often show multiple comorbidities, independently from liver disease, that negatively influence post-transplant outcomes [<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>]. Despite the increasing amount of literature addressing this topic, findings remain inconclusive. Some studies have reported poorer outcomes associated with older age, including higher graft loss and reduced survival, in particular in patients with high Model For End-Stage Stage Liver Disease (MELD) scores [<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>]. Conversely, other works have proved that liver transplantation in selected patients aged 70 and older is safe and feasible, showing graft survival and overall survival rates similar to younger cohorts [<xref ref-type="bibr" rid="B12">12</xref>&#x2013;<xref ref-type="bibr" rid="B14">14</xref>] [<xref ref-type="bibr" rid="B15">15</xref>]. Importantly, the guidelines from American Association for the Study of Liver Diseases and the American Society of Transplantation do not consider age over 70 years old a contraindication to LT, in the absence of significant comorbidities [<xref ref-type="bibr" rid="B16">16</xref>].</p>
<p>This heterogeneity in published results probably reflects differences found in previous analyses in study design, patient selection and institutional practices.</p>
<p>Emerging evidence suggests that, rather than chronological age alone, the severity of comorbidities and liver disease and the general functional status of the patients represent more reliable prognostic indicators of post-transplant outcomes, underscoring the importance of careful selection in achieving favorable results.</p>
<p>We present our experience with LT recipients aged &#x2265;70&#xa0;years. This study aims to describe the characteristics of our cohort of recipients aged over 70 and evaluate their post-transplant outcomes in comparison to younger recipients.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>Materials and Methods</title>
<sec id="s2-1">
<title>Study Design and Setting</title>
<p>Between January 2018 and November 2023, all consecutive adult recipients who underwent cadaver-donor LT in our center were included. We divided the entire cohort in two groups based on age at LT: younger than 70&#xa0;years old and aged 70&#xa0;years old or older (<xref ref-type="fig" rid="F1">Figure 1</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Study design and Propensity score.</p>
</caption>
<graphic xlink:href="ti-38-15429-g001.tif">
<alt-text content-type="machine-generated">Flowchart illustrating a study design using propensity score matching (PSM) at a ratio of three to one. It shows two initial groups: under seventy years old with five hundred forty-eight individuals (93.8%), and over seventy years old with thirty-six individuals (6.2%). Post-matching, the groups consist of one hundred eight individuals under seventy (75%) and thirty-six over seventy (25%). Variables for matching include diagnosis and MELD.</alt-text>
</graphic>
</fig>
<p>This study was approved by the Institutional Review Board of our hospital.</p>
</sec>
<sec id="s2-2">
<title>Data Collection and Clinical Variables</title>
<p>Data were collected prospectively and retrospectively analyzed. Recipient variables included demographics, MELD score at LT and urgent LT (defined, in our national practice, as MELD &#x2265;28), indication for LT, comorbidities, and modified Charlson Comorbidity Index (high modified Charlson Comorbidity Index was defined as mCCI &#x3e;1) [<xref ref-type="bibr" rid="B17">17</xref>].</p>
<p>Donor variables included demographics, donation type, whole or split liver graft, and cold ischemia time (CIT). Postoperative outcomes included complications (defined as major if Clavien-Dindo grade &#x2265;2 [<xref ref-type="bibr" rid="B18">18</xref>]), Early Allograft Dysfunction (EAD) [<xref ref-type="bibr" rid="B19">19</xref>], Comprehensive Complication Index (CCI), 90-day mortality, 90-day readmission, patient survival and graft survival. During the study period, orthotopic liver transplantation was preferably performed with preservation of the inferior vena cava, with few cases performed with vena cava replacement. Over the years, an increasing number of Extended Criteria Donor (ECD) grafts were treated with Hypothermic Oxygenated perfusion (HOPE), which is at present our standard preservation technique with ECDs [<xref ref-type="bibr" rid="B20">20</xref>]. Regarding the cardiological assessment, all LT candidates underwent a standardized preoperative cardiological evaluation, including transthoracic echocardiography and Doppler ultrasound of the supra-aortic vessels. Coronary computed tomography angiography (CCTA) was indicated in patients presenting with one major or two minor cardiovascular risk factors.</p>
<p>Major risk factors included: age &#x3e;50&#xa0;years, diabetes mellitus, history of angina, myocardial infarction, stroke, transient ischemic attack, heart failure, or chronic kidney disease.</p>
<p>Minor risk factors included: smoking, hypercholesterolemia, hypertension, chronic alcohol consumption, and male sex &#x3e;40 years or female sex &#x3e;45&#xa0;years.</p>
<p>When CCTA findings were inconclusive or suspicious for significant coronary artery disease, invasive coronary angiography was performed. Coronary stent placement was undertaken in the presence of significant stenosis, provided that the patient could complete at least 6&#xa0;months of dual antiplatelet therapy before transplantation.</p>
<p>Stress echocardiography and/or myocardial scintigraphy were performed in selected cases, depending on patient suitability for the test and the availability of nuclear medicine facilities.</p>
<p>CT scans at the time of LT in the group over 70&#xa0;years old were evaluated for assessing sarcopenia. Psoas Muscle Area (PMA) (mm<sup>2</sup>) is defined as the cross-sectional area of the left and right psoas muscles at the level of the third lumbar vertebra (L3). We employed as PMA cut-offs to define sarcopenia values &#x3c; 1,561&#xa0;mm<sup>2</sup> in men and &#x3c;1464&#xa0;mm<sup>2</sup> in women [<xref ref-type="bibr" rid="B21">21</xref>] The Psoas Muscle Index (PMI) was obtained as PMA (cm2) divided by square height (m<sup>2</sup>). We employed as PMI cut-offs to define sarcopenia values &#x3c;340 mm<sup>2</sup>/m<sup>2</sup> in men and &#x3c;264 mm<sup>2</sup>/m<sup>2</sup> in women [<xref ref-type="bibr" rid="B22">22</xref>].</p>
</sec>
<sec id="s2-3">
<title>Multidisciplinary Board and Selection Process</title>
<p>Each candidate undergoes a final evaluation by a multidisciplinary board. Candidate assessment involves transplant surgeons, hepatologists, transplant anesthesiologists, radiologists, and psychologists. Additional evaluation by other specialists are requested in case of complex cases. Final eligibility is based on a comprehensive evaluation of the comorbidities, functional status, cognitive integrity, oncologic considerations (if applicable), and expected post-transplant benefit.</p>
</sec>
<sec id="s2-4">
<title>Objectives</title>
<p>The primary endpoint of the study was to evaluate post-transplant mortality, overall patient survival and graft survival comparing recipients aged 70 or older with those younger than 70.</p>
<p>The secondary endpoint was to evaluate postoperative complications.</p>
</sec>
<sec id="s2-5">
<title>Statistical Analysis</title>
<p>Categorical variables were reported as absolute numbers and percentages and compared using the Chi-square test or Fisher&#x2019;s exact test, as appropriate. Continuous variables were expressed as medians with interquartile ranges (IQR) and compared using the Mann&#x2013;Whitney U test. A two-tailed p-value &#x3c;0.05 was considered statistically significant. Statistical analyses were performed using STATA 18.</p>
<p>Patients of both groups were matched using the propensity score method (PSM) as described by Rubin and Rosenbaum [<xref ref-type="bibr" rid="B23">23</xref>]. The propensity score for an individual was calculated given the covariates of LT indication and MELD score, the two variables that differed significantly between the two groups. A 3:1 matching was performed without replacement to minimize conditional bias (<xref ref-type="fig" rid="F1">Figure 1</xref>). For each recipient in the younger group, an elderly recipient with a minimum difference on the propensity score was matched.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec id="s3-1">
<title>Entire Cohort Characteristics</title>
<p>Within the cohort of 584 patients, the elderly group (n &#x3d; 36, 6.2%) showed a median age of 71 (70&#x2013;72 IQR), whereas the younger than 70 years group (n &#x3d; 548, 93.8%) showed a median age of 58 (52&#x2013;63 IQR) (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Preoperative and donor Parameters before and after PSM.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="3" align="left">Preoperative parameters</th>
<th colspan="4" align="center">Before PSM</th>
<th colspan="4" align="center">After PSM</th>
</tr>
<tr>
<th align="center">Under 70 Yo</th>
<th align="center">Over 70 Yo</th>
<th align="center">Total</th>
<th rowspan="2" align="center">p-value</th>
<th align="center">Under 70 Yo</th>
<th align="center">Over 70 Yo</th>
<th align="center">Total</th>
<th rowspan="2" align="center">p-value</th>
</tr>
<tr>
<th align="center">(N &#x3d; 548)</th>
<th align="center">(N &#x3d; 36)</th>
<th align="center">(N &#x3d; 584)</th>
<th align="center">(N &#x3d; 108)</th>
<th align="center">(N &#x3d; 36)</th>
<th align="center">(N &#x3d; 144)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Recipient age, years</td>
<td align="center">58 (52&#x2013;63)</td>
<td align="center">71 (70&#x2013;72)</td>
<td align="center">58 (53&#x2013;64)</td>
<td align="center">&#x3c;0.001</td>
<td align="center">56 (48&#x2013;63)</td>
<td align="center">71 (70&#x2013;72)</td>
<td align="center">61 (52&#x2013;70)</td>
<td align="center">&#x3c;0.001</td>
</tr>
<tr>
<td align="left">Recipient gender male</td>
<td align="center">364 (66.4%)</td>
<td align="center">20 (55.6%)</td>
<td align="center">384 (65.8%)</td>
<td align="center">0.183</td>
<td align="center">67 (62.0%)</td>
<td align="center">20 (55.6%)</td>
<td align="center">87 (60.4%)</td>
<td align="center">0.491</td>
</tr>
<tr>
<td align="left">BMI</td>
<td align="center">25 (23&#x2013;28)</td>
<td align="center">25 (22&#x2013;28)</td>
<td align="center">25 (23&#x2013;28)</td>
<td align="center">0.363</td>
<td align="center">26 22.29</td>
<td align="center">25 (23&#x2013;29)</td>
<td align="center">26 (22&#x2013;29)</td>
<td align="center">0.458</td>
</tr>
<tr>
<td align="left">mCCI &#x3e;1</td>
<td align="center">67 (12.2%)</td>
<td align="center">7 (19%)</td>
<td align="center">113 (26%)</td>
<td align="center">0.207</td>
<td align="center">5 (6.8%)</td>
<td align="center">7 (19.4%)</td>
<td align="center">12 (10.9%)</td>
<td align="center">0.045</td>
</tr>
<tr>
<td colspan="9" align="left">Liver transplant indication</td>
</tr>
<tr>
<td align="left">&#x2003;Viral</td>
<td align="center">198 (36.1%)</td>
<td align="center">5 (13.9%)</td>
<td align="center">203 (34.8%)</td>
<td align="center">0.013</td>
<td align="center">22 (20.4%)</td>
<td align="center">5 (13.9%)</td>
<td align="center">27 (18.8%)</td>
<td align="center">0.633</td>
</tr>
<tr>
<td align="left">&#x2003;Alcohol-related liver disease</td>
<td align="center">126 (23.0%)</td>
<td align="center">7 (19.4%)</td>
<td align="center">133 (22.8%)</td>
<td align="center"/>
<td align="center">17 (15.7%)</td>
<td align="center">7 (19.4%)</td>
<td align="center">24 (16.7%)</td>
<td align="center"/>
</tr>
<tr>
<td align="left">&#x2003;MASLD</td>
<td align="center">72 (13.1%)</td>
<td align="center">9 (25.0%)</td>
<td align="center">81 (13.9%)</td>
<td align="center"/>
<td align="center">19 (17.6%)</td>
<td align="center">9 (25.0%)</td>
<td align="center">28 (19.4%)</td>
<td align="center"/>
</tr>
<tr>
<td align="left">&#x2003;Other</td>
<td align="center">152 (27.7%)</td>
<td align="center">15 (41.7%)</td>
<td align="center">167 (28.6%)</td>
<td align="center"/>
<td align="center">50 (46.3%)</td>
<td align="center">15 (41.7%)</td>
<td align="center">65 (45.1%)</td>
<td align="center"/>
</tr>
<tr>
<td align="left">Hepatocellular carcinoma</td>
<td align="center">224 (40.9%)</td>
<td align="center">13 (36.1%)</td>
<td align="center">237 (40.6%)</td>
<td align="center">0.573</td>
<td align="center">44 (40.7%)</td>
<td align="center">13 (36.1%)</td>
<td align="center">57 (39.6%)</td>
<td align="center">0.623</td>
</tr>
<tr>
<td align="left">TIPS</td>
<td align="center">33 (6.0%)</td>
<td align="center">1 (2.8%)</td>
<td align="center">34 (5.8%)</td>
<td align="center">0.418</td>
<td align="center">4 (3.7%)</td>
<td align="center">1 (2.8%)</td>
<td align="center">5 (3.5%)</td>
<td align="center">0.623</td>
</tr>
<tr>
<td align="left">Portal hypertension</td>
<td align="center">354 (83.9%)</td>
<td align="center">18 (81.8%)</td>
<td align="center">372 (83.8%)</td>
<td align="center">0.798</td>
<td align="center">56 (71.8%)</td>
<td align="center">18 (81.8%)</td>
<td align="center">74 (74.0%)</td>
<td align="center">0.344</td>
</tr>
<tr>
<td colspan="9" align="left">Cirrhosis related complications</td>
</tr>
<tr>
<td align="left">&#x2003;Ascites</td>
<td align="center">255 (57.2%)</td>
<td align="center">14 (63.6%)</td>
<td align="center">269 (57.5%)</td>
<td align="center">0.550</td>
<td align="center">52 (60.5%)</td>
<td align="center">14 (63.6%)</td>
<td align="center">66 (61.1%)</td>
<td align="center">0.785</td>
</tr>
<tr>
<td align="left">&#x2003;Hepatic encephalopathy</td>
<td align="center">172 (49.6%)</td>
<td align="center">7 (38.9%)</td>
<td align="center">179 (49.0%)</td>
<td align="center">0.377</td>
<td align="center">33 (47.8%)</td>
<td align="center">7 (38.9%)</td>
<td align="center">40 (46.0%)</td>
<td align="center">0.498</td>
</tr>
<tr>
<td align="left">&#x2003;Jaundice</td>
<td align="center">210 (49.8%)</td>
<td align="center">9 (40.9%)</td>
<td align="center">219 (49.3%)</td>
<td align="center">0.418</td>
<td align="center">27 (34.6%)</td>
<td align="center">9 (40.9%)</td>
<td align="center">36 (36.0%)</td>
<td align="center">0.587</td>
</tr>
<tr>
<td align="left">&#x2003;Coagulopathy</td>
<td align="center">237 (56.8%)</td>
<td align="center">13 (59.1%)</td>
<td align="center">250 (56.9%)</td>
<td align="center">0.835</td>
<td align="center">38 (48.7%)</td>
<td align="center">13 (59.1%)</td>
<td align="center">51 (51.0%)</td>
<td align="center">0.39</td>
</tr>
<tr>
<td align="left">&#x2003;Esophageal varices</td>
<td align="center">109 (26.3%)</td>
<td align="center">4 (18.2%)</td>
<td align="center">113 (25.9%)</td>
<td align="center">0.395</td>
<td align="center">18 (23.4%)</td>
<td align="center">4 (18.2%)</td>
<td align="center">22 (22.2%)</td>
<td align="center">0.605</td>
</tr>
<tr>
<td colspan="9" align="left">Comorbidities</td>
</tr>
<tr>
<td align="left">&#x2003;Respiratory</td>
<td align="center">99 (23.5%)</td>
<td align="center">8 (32.0%)</td>
<td align="center">107 (24.0%)</td>
<td align="center">0.334</td>
<td align="center">20 (23.8%)</td>
<td align="center">8 (32.0%)</td>
<td align="center">28 (25.7%)</td>
<td align="center">0.411</td>
</tr>
<tr>
<td align="left">&#x2003;Renal</td>
<td align="center">79 (18.5%)</td>
<td align="center">4 (15.4%)</td>
<td align="center">83 (18.3%)</td>
<td align="center">0.694</td>
<td align="center">7 (8.2%)</td>
<td align="center">4 (15.4%)</td>
<td align="center">11 (9.9%)</td>
<td align="center">0.286</td>
</tr>
<tr>
<td align="left">&#x2003;Cardiological</td>
<td align="center">213 (47.8%)</td>
<td align="center">12 (54.5%)</td>
<td align="center">225 (48.1%)</td>
<td align="center">0.534</td>
<td align="center">41 (47.7%)</td>
<td align="center">12 (54.5%)</td>
<td align="center">53 (49.1%)</td>
<td align="center">0.565</td>
</tr>
<tr>
<td align="left">&#x2003;Coronarography</td>
<td align="center">17 (3.1%)</td>
<td align="center">2 (5.5%)</td>
<td align="center">19 (3.2%)</td>
<td align="center">0.422</td>
<td align="center">4 (3.7%)</td>
<td align="center">2 (5.5%)</td>
<td align="center">6 (4.1%)</td>
<td align="center">0.63</td>
</tr>
<tr>
<td align="left">&#x2003;Diabetes</td>
<td align="center">143 (31.2%)</td>
<td align="center">13 (46.4%)</td>
<td align="center">156 (32.0%)</td>
<td align="center">0.093</td>
<td align="center">29 (31.9%)</td>
<td align="center">13 (46.4%)</td>
<td align="center">42 (35.3%)</td>
<td align="center">0.159</td>
</tr>
<tr>
<td align="left">MELD at LT</td>
<td align="center">15 (10&#x2013;23)</td>
<td align="center">13 (9&#x2013;17)</td>
<td align="center">15 (10&#x2013;23)</td>
<td align="center">0.032</td>
<td align="center">12 (10&#x2013;15)</td>
<td align="center">13 (9&#x2013;17)</td>
<td align="center">12 (9&#x2013;16)</td>
<td align="center">0.149</td>
</tr>
<tr>
<td align="left">Urgent LT</td>
<td align="center">90 (16.4%)</td>
<td align="center">4 (11.1%)</td>
<td align="center">94 (16.1%)</td>
<td align="center">0.401</td>
<td align="center">5 (4.6%)</td>
<td align="center">4 (11.1%)</td>
<td align="center">9 (6.25%)</td>
<td align="center">0.164</td>
</tr>
<tr>
<td align="left">Platelets (10<sup>3</sup>/mmc)</td>
<td align="center">82.5 (49&#x2013;138.5)</td>
<td align="center">113 (65&#x2013;149.5)</td>
<td align="center">84 (50&#x2013;139)</td>
<td align="center">0.078</td>
<td align="center">82.5 (49&#x2013;138.5)</td>
<td align="center">113 (65&#x2013;149.5)</td>
<td align="center">84 (50&#x2013;139)</td>
<td align="center">0.814</td>
</tr>
<tr>
<td align="left">Sodium (mmol/L)</td>
<td align="center">137 (134&#x2013;139)</td>
<td align="center">137.5 (134.5&#x2013;139.5)</td>
<td align="center">137 (134&#x2013;139)</td>
<td align="center">0.541</td>
<td align="center">137 (134&#x2013;139)</td>
<td align="center">137.5 (134.5&#x2013;139.5)</td>
<td align="center">137 (134&#x2013;139)</td>
<td align="center">0.752</td>
</tr>
<tr>
<td align="left">Albumin (g/dL)</td>
<td align="center">3.5 (3&#x2013;4)</td>
<td align="center">3.7 (3.3&#x2013;3.9)</td>
<td align="center">3.5 (3&#x2013;4)</td>
<td align="center">0.2068</td>
<td align="center">3.5 (3.1&#x2013;4)</td>
<td align="center">3.7 (3.3&#x2013;3.9)</td>
<td align="center">3.6 (3.2&#x2013;4)</td>
<td align="center">0.558</td>
</tr>
<tr>
<td align="left">Previous abdominal surgery</td>
<td align="center">334 (61.1%)</td>
<td align="center">22 (61.1%)</td>
<td align="center">356 (61.1%)</td>
<td align="center">0.995</td>
<td align="center">77 (72.0%)</td>
<td align="center">22 (61.1%)</td>
<td align="center">99 (69.2%)</td>
<td align="center">0.222</td>
</tr>
<tr>
<td colspan="9" align="left">Donor parameters</td>
</tr>
<tr>
<td align="left">Donor age, years</td>
<td align="center">64 (49&#x2013;76)</td>
<td align="center">64.5 (56.5&#x2013;75)</td>
<td align="center">64 (50&#x2013;76)</td>
<td align="center">0.420</td>
<td align="center">67 (48.5&#x2013;78)</td>
<td align="center">64.5 (56.5&#x2013;75)</td>
<td align="center">67 (52&#x2013;78)</td>
<td align="center">0.358</td>
</tr>
<tr>
<td align="left">Donor gender male</td>
<td align="center">307 (56.0%)</td>
<td align="center">17 (47.2%)</td>
<td align="center">324 (55.5%)</td>
<td align="center">0.303</td>
<td align="center">62 (57.4%)</td>
<td align="center">17 (47.2%)</td>
<td align="center">79 (54.9%)</td>
<td align="center">0.288</td>
</tr>
<tr>
<td align="left">Donor BMI</td>
<td align="center">25 (23&#x2013;28)</td>
<td align="center">25 (23&#x2013;28)</td>
<td align="center">25 (23&#x2013;28)</td>
<td align="center">0.2</td>
<td align="center">26 (23&#x2013;29)</td>
<td align="center">25 (23&#x2013;29)</td>
<td align="center">25 (23&#x2013;29)</td>
<td align="center">0.456</td>
</tr>
<tr>
<td align="left">DCD</td>
<td align="center">60 (10.9%)</td>
<td align="center">5 (13.9%)</td>
<td align="center">65 (11.1%)</td>
<td align="center">0.587</td>
<td align="center">22 (20.4%)</td>
<td align="center">5 (13.9%)</td>
<td align="center">27 (18.8%)</td>
<td align="center">0.388</td>
</tr>
<tr>
<td align="left">Extended criteria donor</td>
<td align="center">465 (84.9%)</td>
<td align="center">29 (80.6%)</td>
<td align="center">494 (84.6%)</td>
<td align="center">0.34</td>
<td align="center">93 (86.1%)</td>
<td align="center">29 (80.6%)</td>
<td align="center">122 (84.7%)</td>
<td align="center">0.422</td>
</tr>
<tr>
<td align="left">Split donor graft</td>
<td align="center">20 (3.65%)</td>
<td align="center">0</td>
<td align="center">20 (3.42%)</td>
<td align="center">0.243</td>
<td align="center">5 (4.6%)</td>
<td align="center">0</td>
<td align="center">5 (4.5%)</td>
<td align="center">0.189</td>
</tr>
<tr>
<td align="left">Donor bilirubim</td>
<td align="center">0.78 (0.49&#x2013;1.1)</td>
<td align="center">0.49 (0.4&#x2013;0.87)</td>
<td align="center">0.75 (0.48&#x2013;1.1)</td>
<td align="center">0.242</td>
<td align="center">0.7 (0.5&#x2013;1.1)</td>
<td align="center">0.5 (0.4&#x2013;0.9)</td>
<td align="center">0.7 (0.5&#x2013;1.1)</td>
<td align="center">0.22</td>
</tr>
<tr>
<td align="left">Donor GOT (U/L)</td>
<td align="center">31 (20&#x2013;61)</td>
<td align="center">28 (20&#x2013;51)</td>
<td align="center">31 (20&#x2013;61)</td>
<td align="center">0.693</td>
<td align="center">37 (23&#x2013;70)</td>
<td align="center">28 (19&#x2013;50)</td>
<td align="center">34 (22&#x2013;68)</td>
<td align="center">0.436</td>
</tr>
<tr>
<td align="left">Donor GPT (U/L)</td>
<td align="center">25 (15&#x2013;53)</td>
<td align="center">22 (14&#x2013;39)</td>
<td align="center">24 (14&#x2013;52)</td>
<td align="center">0.699</td>
<td align="center">34 (15&#x2013;63)</td>
<td align="center">21 (13&#x2013;39)</td>
<td align="center">30 (15&#x2013;61)</td>
<td align="center">0.401</td>
</tr>
<tr>
<td align="left">Donor Sodium&#xa0;(mmol/L)</td>
<td align="center">149 (144&#x2013;156)</td>
<td align="center">149 (144&#x2013;161)</td>
<td align="center">149 (144&#x2013;156)</td>
<td align="center">0.372</td>
<td align="center">147 (142&#x2013;155)</td>
<td align="center">149 (144&#x2013;161)</td>
<td align="center">147 (142&#x2013;156)</td>
<td align="center">0.146</td>
</tr>
<tr>
<td align="left">Cold ischemia time, minutes</td>
<td align="center">390 (350&#x2013;450)</td>
<td align="center">372 (340&#x2013;445)</td>
<td align="center">390 (350&#x2013;450)</td>
<td align="center">0.203</td>
<td align="center">380 (335&#x2013;422)</td>
<td align="center">372 (340&#x2013;445)</td>
<td align="center">375 (337&#x2013;430)</td>
<td align="center">0.818</td>
</tr>
<tr>
<td align="left">HOPE</td>
<td align="center">225 (41%)</td>
<td align="center">18 (50%)</td>
<td align="center">243 (41%)</td>
<td align="center">0.292</td>
<td align="center">38 (35.2%)</td>
<td align="center">18 (50%)</td>
<td align="center">56 (38.89%)</td>
<td align="center">0.864</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Continuous Values Expressed as Median (IQR), categorical values expressed as number (%). Abbreviations: mCCI, Modified Charlson Comorbidity Index; DCD, Donor after Cardiac Death; HOPE, Hypothermic Oxygenated Perfusion; GOT, Glutamic Oxaloacetic Transaminase; GPT, Glutamate Pyruvate Alanine Aminotransferase.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-2">
<title>Recipients&#x2019; Characteristics</title>
<p>The majority of patients were male, with a higher percentage in the younger group (66.4% vs. 55.6%, p &#x3d; 0.183) without a statistically significant difference. Median BMI was 25 in both groups (p &#x3d; 0.363) (<xref ref-type="table" rid="T1">Table 1</xref>). The two groups differed significantly in cirrhosis etiology and median MELD score. Viral cirrhosis was the most frequent indication in the younger group (n &#x3d; 198, 36.1% vs. n &#x3d; 5, 13.9%, p &#x3d; 0.013). MASLD was more frequent in the elderly group (n &#x3d; 72, 13.1% vs. n &#x3d; 9, 25%, p &#x3d; 0.013). The elderly group had a significantly lower median MELD score (15 vs. 13, p &#x3d; 0.017).</p>
<p>Clinically significant portal hypertension was present in 81.8% of the elderly group and in 83.9% of the younger group (p &#x3d; 0.798). Diagnosis of Hepatocellular Carcinoma (HCC) did not differ between elderly and younger groups (36.1% vs. 40.9%, p &#x3d; 0.573).</p>
<sec id="s3-2-1">
<title>Complications of Cirrhosis and Laboratory Values</title>
<p>There were no statistically significant differences in terms of cirrhosis-related conditions between the two populations (<xref ref-type="table" rid="T1">Table 1</xref>). Ascites was the most frequent complication of cirrhosis in both groups (63.9% vs. 57.2%, p &#x3d; 0.550). Encephalopathy, jaundice, and esophageal varices were slightly less frequent in the elderly population, but without reaching statistical significance (38.9% vs. 49.6%, p &#x3d; 0.377; 40.9% vs. 49.8%, p &#x3d; 0.418; 18.2% vs. 26.3%, p &#x3d; 0.95, respectively).</p>
<p>Presence of coagulopathy was similar between the two groups (59.1% vs. 56.8%, p &#x3d; 0.835).</p>
<p>Sodium and albumin levels were comparable between the elderly and the younger groups [137.5&#xa0;mmol/L IQR (134.5&#x2013;139.5) vs. 137&#xa0;mmol/L IQR (134&#x2013;139), p &#x3d; 0.54; 3.7&#xa0;g/dL IQR (3.3&#x2013;3.9) vs. 3.5 IQR (3&#x2013;4), p &#x3d; 0.206].</p>
</sec>
<sec id="s3-2-2">
<title>Comorbidities</title>
<p>Respiratory, renal and cardiological comorbidities, and diagnosis of diabetes were similar between the two groups (<xref ref-type="table" rid="T1">Table 1</xref>). Cardiological comorbidities were the most common in both groups and, although they did not show statistically significant difference, were slightly higher in the elderly group, as well as diabetes and respiratory comorbidities (54.5% vs. 47.8%, p &#x3d; 0.534; 46.4% vs. 31.2%, p &#x3d; 0.093; 32% vs. 23.5%, p &#x3d; 0.334, respectively). Pre-transplant coronarography rate was comparable between groups (5.5% vs. 3.1%, p &#x3d; 0.422). The rate of previous abdominal surgery was equal (61.1% vs. 61.1%, p &#x3d; 0.995). Before PSM analysis, mCCI &#x3e;1 was slightly higher in the elderly group compared to the younger group, but without reaching statistical significance (19% vs. 12.2%, p &#x3d; 0.207).</p>
</sec>
<sec id="s3-2-3">
<title>Specific Cardiological Comorbidities and Sarcopenia of the Elderly Group</title>
<p>Regarding specific history of cardiological comorbidities, 2 patients had history of myocardial infarction treated with PCI (n &#x3d; 2, 5.6%) and 2 patients had history of atrial fibrillation. Coronary computed tomography angiography (CCTA) was performed in 21 patients, accounting for 58.3% of the group. Median Coronary Calcium Score (Agatston score) was 56 (IQR 0&#x2013;989) (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Comorbidities and Sarcopenia scores of Elderly recipients.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Comorbidity</th>
<th align="center">Frequency (%) or median</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Hypertension</td>
<td align="center">17 (47.2%)</td>
</tr>
<tr>
<td align="left">Dyslipidemia</td>
<td align="center">14 (40.0%)</td>
</tr>
<tr>
<td align="left">Smoking</td>
<td align="center">20 (55.5%)</td>
</tr>
<tr>
<td align="left">Non-hepatic malignancy</td>
<td align="center">2 (5.6%)</td>
</tr>
<tr>
<td align="left">Chronic obstructive pulmonary disease (COPD)</td>
<td align="center">9 (25.0%)</td>
</tr>
<tr>
<td align="left">History of myocardial infarction (MI)</td>
<td align="center">2 (5.6%)</td>
</tr>
<tr>
<td align="left">History of percutaneous coronary intervention (PCI)</td>
<td align="center">2 (5.6%)</td>
</tr>
<tr>
<td align="left">Atrial fibrillation (AF)</td>
<td align="center">2 (5.6%)</td>
</tr>
<tr>
<td align="left">Coronary computed tomography angiography (CCTA)</td>
<td align="center">21 (58.3%)</td>
</tr>
<tr>
<td align="left">Coronary calcium score (agatston)</td>
<td align="center">56 (0&#x2013;989)</td>
</tr>
<tr>
<td align="left">Psoas muscle area, (mm<sup>2</sup>)</td>
<td align="center">1,700 (1,300&#x2013;2,390)</td>
</tr>
<tr>
<td align="left">Male, (mm<sup>2</sup>)</td>
<td align="center">2,130 (1,600&#x2013;2,500)</td>
</tr>
<tr>
<td align="left">Female, (mm<sup>2</sup>)</td>
<td align="center">1,300 (1,000&#x2013;1,600)</td>
</tr>
<tr>
<td align="left">Psoas muscle index, mm<sup>2</sup>/m<sup>2</sup>
</td>
<td align="center">625 (445&#x2013;801)</td>
</tr>
<tr>
<td align="left">Male, mm<sup>2</sup>/m<sup>2</sup>
</td>
<td align="center">763 mm<sup>2</sup>/m<sup>2</sup> (555&#x2013;849)</td>
</tr>
<tr>
<td align="left">Female, mm<sup>2</sup>/m<sup>2</sup>
</td>
<td align="center">470 mm<sup>2</sup>/m<sup>2</sup> (410&#x2013;625)</td>
</tr>
<tr>
<td align="left">Sarcopenia (defined by PMA) (n,%)</td>
<td align="center">13 (36.1%)</td>
</tr>
<tr>
<td align="left">Male (n, %)</td>
<td align="center">5 (22.73%)</td>
</tr>
<tr>
<td align="left">Female (n, %)</td>
<td align="center">8 (57.14%)</td>
</tr>
<tr>
<td align="left">Sarcopenia (defined by PMI) (n,%)</td>
<td align="center">0%</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Continuous Values Expressed as Median (IQR), categorical values expressed as number (%).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>In the elderly cohort, median PMA was 1,710&#xa0;mm<sup>2</sup> (IQR 1,300&#x2013;2,390), lower in females than males (1,300 vs. 2,130&#xa0;mm<sup>2</sup>). Median PMI was 6.25&#xa0;mm<sup>2</sup>/m<sup>2</sup> (IQR 4.45&#x2013;8.01), also lower in females than males (4.70 vs. 7.63&#xa0;mm<sup>2</sup>/m<sup>2</sup>). Using PMA cut-offs, 13 patients (36.1%) were classified as sarcopenic (8 females, 5 males), whereas no patients met sarcopenia criteria using PMI cut-offs.</p>
</sec>
</sec>
<sec id="s3-3">
<title>Donor Characteristics</title>
<p>There were no statistically significant differences between the elderly and the younger group regarding the donor&#x2019;s characteristics (<xref ref-type="table" rid="T1">Table 1</xref>). Median donor age was 64.5 years (IQR 56.5&#x2013;75) in the elderly group vs. 64 years in the younger group (IQR 49&#x2013;76) (p &#x3d; 0.420), median donor BMI was 25 in both groups (IQR 23&#x2013;28) (p &#x3d; 0.2). Most of the grafts were classified as Extended criteria donors in both groups (n &#x3d; 29, 80.6% vs. n &#x3d; 465.84.9%, p &#x3d; 0.489). Rate of DCD donors were comparable between the 2 groups (13.9% vs. 10.9%, p &#x3d; 0.587). Median cold ischemia time was slightly lower in the elderly group, but without reaching statistical significance (372&#xa0;min vs. 390&#xa0;min, p &#x3d; 0.203).</p>
<p>The use of Hypothermic oxygenated perfusion (HOPE) was comparable between the elderly and the younger group (50% vs. 41%, p &#x3d; 0.292). The number of LT with split graft was 20 (3.65%) in the younger group, compared to 0 (0%) in the elderly group, without reaching statistical significance (p &#x3d; 0.243).</p>
</sec>
<sec id="s3-4">
<title>Postoperative Outcomes, Graft and Overall Survival</title>
<p>There were no significant statistical differences between the elderly group and the younger group regarding postoperative parameters (<xref ref-type="table" rid="T3">Table 3</xref>). The rate of major complications was similar between the two groups (22.2% vs. 35.8%, respectively, p &#x3d; 0.099), as was CCI (29.6, vs. 30.2, p &#x3d; 0.526).</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Postoperative parameters before and after PSM.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="3" align="left">Post-operative parameters</th>
<th colspan="4" align="center">Before PSM</th>
<th colspan="4" align="center">After PSM</th>
</tr>
<tr>
<th align="center">Under 70 Yo</th>
<th align="center">Over 70 Yo</th>
<th align="center">Total</th>
<th rowspan="2" align="left">p-value</th>
<th align="center">Under 70 Yo</th>
<th align="center">Over 70 Yo</th>
<th align="center">Total</th>
<th rowspan="2" align="center">p-value</th>
</tr>
<tr>
<th align="center">(N &#x3d; 548)</th>
<th align="center">(N &#x3d; 36)</th>
<th align="center">(N &#x3d; 584)</th>
<th align="center">(N &#x3d; 108)</th>
<th align="center">(N &#x3d; 36)</th>
<th align="center">(N &#x3d; 144)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Early allograft disfunction</td>
<td align="center">154 (28.1%)</td>
<td align="center">7 (19.4%)</td>
<td align="center">161 (27.6%)</td>
<td align="center">0.26</td>
<td align="center">33 (30.6%)</td>
<td align="center">7 (19.4%)</td>
<td align="center">40 (27.8%)</td>
<td align="center">0.197</td>
</tr>
<tr>
<td align="left">Hepatic artery thrombosis</td>
<td align="center">6 (1.1%)</td>
<td align="center">0 (0.0%)</td>
<td align="center">6 (1.1%)</td>
<td align="center">0.528</td>
<td align="center">1 (0.9%)</td>
<td align="center">0 (0.0%)</td>
<td align="center">1 (0.7%)</td>
<td align="center">0.566</td>
</tr>
<tr>
<td align="left">Re-transplantation<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</td>
<td align="center">21 (3.8%)</td>
<td align="center">1 (2.8%)</td>
<td align="center">22 (3.8%)</td>
<td align="center">0.748</td>
<td align="center">7 (6.5%)</td>
<td align="center">1 (2.8%)</td>
<td align="center">8 (5.6%)</td>
<td align="center">0.401</td>
</tr>
<tr>
<td align="left">Re-laparotomy</td>
<td align="center">78 (14.7%)</td>
<td align="center">4 (11.4%)</td>
<td align="center">82 (14.5%)</td>
<td align="center">0.84</td>
<td align="center">11 (10.3%)</td>
<td align="center">4 (11.4%)</td>
<td align="center">15 (10.6%)</td>
<td align="center">0.848</td>
</tr>
<tr>
<td align="left">Biliary complication</td>
<td align="center">55 (10.3%)</td>
<td align="center">1 (2.9%)</td>
<td align="center">56 (9.8%)</td>
<td align="center">0.152</td>
<td align="center">10 (9.3%)</td>
<td align="center">1 (2.9%)</td>
<td align="center">11 (7.7%)</td>
<td align="center">0.213</td>
</tr>
<tr>
<td align="left">Cardiac complication</td>
<td align="center">50 (11.4%)</td>
<td align="center">1 (4.5%)</td>
<td align="center">51 (11.0%)</td>
<td align="center">0.319</td>
<td align="center">8 (9.4%)</td>
<td align="center">1 (4.5%)</td>
<td align="center">9 (8.4%)</td>
<td align="center">0.464</td>
</tr>
<tr>
<td align="left">Postoperative infection</td>
<td align="center">225 (41.9%)</td>
<td align="center">14 (40.0%)</td>
<td align="center">239 (41.8%)</td>
<td align="center">0.825</td>
<td align="center">40 (38.1%)</td>
<td align="center">14 (40.0%)</td>
<td align="center">54 (38.6%)</td>
<td align="center">0.841</td>
</tr>
<tr>
<td align="left">Pneumonia</td>
<td align="center">47 (10.5%)</td>
<td align="center">4 (18.2%)</td>
<td align="center">51 (10.9%)</td>
<td align="center">0.261</td>
<td align="center">7 (8.1%)</td>
<td align="center">4 (18.2%)</td>
<td align="center">11 (10.2%)</td>
<td align="center">0.165</td>
</tr>
<tr>
<td align="left">Acute cellular rejection</td>
<td align="center">29 (5.4%)</td>
<td align="center">0 (0.0%)</td>
<td align="center">29 (5.1%)</td>
<td align="center">0.158</td>
<td align="center">7 (6.6%)</td>
<td align="center">0 (0.0%)</td>
<td align="center">7 (5.0%)</td>
<td align="center">0.119</td>
</tr>
<tr>
<td align="left">Readmission by 30 post-operative day</td>
<td align="center">113 (26.0%)</td>
<td align="center">7 (31.8%)</td>
<td align="center">120 (26.3%)</td>
<td align="center">0.548</td>
<td align="center">23 (27.7%)</td>
<td align="center">7 (31.8%)</td>
<td align="center">30 (28.6%)</td>
<td align="center">0.705</td>
</tr>
<tr>
<td align="left">Clavien dindo &#x3e;2</td>
<td align="center">196 (35.8%)</td>
<td align="center">8 (22.2%)</td>
<td align="center">204 (34.9%)</td>
<td align="center">0.099</td>
<td align="center">35 (32.4%)</td>
<td align="center">8 (22.2%)</td>
<td align="center">43 (29.9%)</td>
<td align="center">0.248</td>
</tr>
<tr>
<td align="left">CCI</td>
<td align="center">30.2 (20.9&#x2013;48.3)</td>
<td align="center">29.6 (20.9&#x2013;38.35)</td>
<td align="center">29.6 (20.9&#x2013;47.6)</td>
<td align="center">0.516</td>
<td align="center">29.6 (20.9&#x2013;39.6)</td>
<td align="center">29.6 (20.9&#x2013;38.4)</td>
<td align="center">29.6 (20.9&#x2013;39.5)</td>
<td align="center">0.976</td>
</tr>
<tr>
<td align="left">Failure to rescue</td>
<td align="center">25 (4.5%)</td>
<td align="center">1 (2.8%)</td>
<td align="center">26 (4.5%)</td>
<td align="center">0.615</td>
<td align="center">5 (4.6%)</td>
<td align="center">1 (2.8%)</td>
<td align="center">6 (4.2%)</td>
<td align="center">0.63</td>
</tr>
<tr>
<td align="left">LOS (days)</td>
<td align="center">16 (11&#x2013;29)</td>
<td align="center">14.5 (12&#x2013;17)</td>
<td align="center">16 (11&#x2013;28)</td>
<td align="center">0.289</td>
<td align="center">15 (12&#x2013;17)</td>
<td align="center">14.5 (12&#x2013;17)</td>
<td align="center">15 (12&#x2013;17)</td>
<td align="center">0.738</td>
</tr>
<tr>
<td align="left">Mortality<xref ref-type="table-fn" rid="Tfn2">
<sup>b</sup>
</xref>
</td>
<td align="center">28 (5.11%)</td>
<td align="center">2 (5.6%)</td>
<td align="center">30 (5.1%)</td>
<td align="center">0.907</td>
<td align="center">7 (6.5%)</td>
<td align="center">2 (5.6%)</td>
<td align="center">9 (6.2%)</td>
<td align="center">0.842</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Continuous Values Expressed as Median (IQR), categorical values expressed as number (%). Abbreviations: CCI, Comprehensive Complication Index; LOS, Length of Hospital Stay.</p>
</fn>
<fn id="Tfn1">
<label>
<sup>a</sup>
</label>
<p>Re-Transplantation within 30 days post Liver Transplantation.</p>
</fn>
<fn id="Tfn2">
<label>
<sup>b</sup>
</label>
<p>Mortality Within 90 Days post Liver Transplantation.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The rates of EAD, hepatic artery thrombosis, postoperative infection, biliary and cardiac complications, pneumonia and acute rejection were comparable between the two populations. The 90-day mortality rates were comparable between the two groups (5.6% vs. 5.11%, p &#x3d; 0.907). Rates of re-transplantation within 90 days were similar across the elderly and the younger group (2.8% vs. 3.8%, p &#x3d; 0.748).</p>
<p>The two patients who died within the first 90 postoperative days were female. Both had an mCCI &#x3e;1, and neither had a history of coronary artery disease. However, they belonged to the lowest quartile for sarcopenia measurements, based on both PMA and PMI scores.</p>
<p>In the elderly group, 1-year overall survival was 94.4% and 3- and 5-year survival was 89.5%. Graft survival was 94.4% at 1 year, and 89.5% at 3 and 5 years. In the younger group, 1-, 3- and 5-year overall survival were 92.9%, 89.1% and 87.7% respectively, while 1-, 3- and 5-year graft survival were 89.5%, 85.5% and 84.4%, respectively (<xref ref-type="fig" rid="F2">Figure 2</xref>; <xref ref-type="table" rid="T4">Table 4</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Graft survival and overall survival curves by age group.</p>
</caption>
<graphic xlink:href="ti-38-15429-g002.tif">
<alt-text content-type="machine-generated">Kaplan-Meier survival curves show graft survival and overall survival by age group. The left graph details graft survival, while the right shows overall survival. Both graphs compare individuals under 70 with those over 70 years of age. Solid lines represent the under 70 group, and dashed lines represent the over 70 group. Time since transplant is on the x-axis, ranging from zero to five years, while survival probability is on the y-axis, ranging from zero to one. A table below each graph shows the number of individuals at risk at various time intervals.</alt-text>
</graphic>
</fig>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Overall survival and graft survival.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th colspan="5" align="left">Graft survival</th>
</tr>
<tr>
<th align="left">Time (years)</th>
<th align="center">Under 70</th>
<th align="center">Over 70</th>
<th align="center">Total</th>
<th align="center">p-value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">1</td>
<td align="center">89.5 (86.6&#x2013;91.8)</td>
<td align="center">94.4 (79.6&#x2013;98.6)</td>
<td align="center">90.0 (87.2&#x2013;92.2)</td>
<td align="center">0.3484</td>
</tr>
<tr>
<td align="left">3</td>
<td align="center">85.5 (82.2&#x2013;88.3)</td>
<td align="center">89.5 (69.4&#x2013;96.7)</td>
<td align="center">86.0 (82.8&#x2013;88.6)</td>
<td align="center"/>
</tr>
<tr>
<td align="left">5</td>
<td align="center">84.4 (80.9&#x2013;87.4)</td>
<td align="center">89.5 (69.4&#x2013;96.7)</td>
<td align="center">84.9 (81.5&#x2013;87.8)</td>
<td align="center"/>
</tr>
<tr>
<td colspan="5" align="left">
<bold>Overall survival</bold>
</td>
</tr>
<tr>
<td align="left">1</td>
<td align="center">92.9 (90.4&#x2013;94.7)</td>
<td align="center">94.4 (79.6&#x2013;98.6)</td>
<td align="center">92.3 (90.6&#x2013;94.8)</td>
<td align="center">0.6947</td>
</tr>
<tr>
<td align="left">3</td>
<td align="center">89.1 (86.1&#x2013;91.5)</td>
<td align="center">89.5 (69.4&#x2013;96.7)</td>
<td align="center">89.2 (86.2&#x2013;91.5)</td>
<td align="center"/>
</tr>
<tr>
<td align="left">5</td>
<td align="center">87.7 (84.3&#x2013;90.4)</td>
<td align="center">89.5 (69.4&#x2013;96.7)</td>
<td align="center">87.8 (84.6&#x2013;90.4)</td>
<td align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Kaplan&#x2013;Meier estimates of 1-, 3-, and 5-year graft survival, reported as Survival % (Lower CI &#x2013; Upper CI). Comparison between groups was assessed using the Log-Rank test.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-5">
<title>Adjusted Outcomes With Case-Matched Analysis</title>
<p>A case-matched analysis was performed using matched cohorts created from propensity scores. The 3:1 matching algorithm identified two matched cohorts (n &#x3d; 108 in the under 70 group and 36 in the over 70 group) in which all differences between recipient characteristics were balanced (<xref ref-type="table" rid="T1">Table 1</xref>). This allowed for the direct comparison of outcomes between the study cohorts, which again demonstrated similar perioperative outcomes, overall survival and graft survival. However, mCCI &#x3e;1, which did not reach statistical significance in the unadjusted analysis, after matching was significantly higher in the elderly group compared to the younger cohort (19.4% vs. 10.9%, p &#x3d; 0.045) (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>Our study shows that carefully selected LT recipients aged 70&#xa0;years or older can achieve outcomes comparable to those of younger recipients, without significant differences in terms of postoperative complications, graft survival, and overall survival. The same results were obtained even after adjusted analysis eliminating preoperative differences, indicating that advanced age alone should not be considered an absolute contraindication to LT.</p>
<p>In recent years, LT in elderly recipients has become a prominent and pressing issue. In particular, the rising prevalence of MASLD and HCC in patients older than 65 years old has led to an increased demand for LT in this age group, and it has been demonstrated that this population can achieve promising results, reaching a 5-year overall survival of 77% [<xref ref-type="bibr" rid="B1">1</xref>]. However, the studies focusing on LT performed in recipients aged 70 or older are limited in the literature.</p>
<p>Accordingly, in our center the proportion of LT recipients aged &#x2265;70 has increased from 1.4% in 2018 to 16.5% in 2024 (<xref ref-type="fig" rid="F3">Figure 3</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Proportion of Liver Transplant recipients Aged &#x2265;70 by year from 2018 to 2024.</p>
</caption>
<graphic xlink:href="ti-38-15429-g003.tif">
<alt-text content-type="machine-generated">Bar chart showing the number of recipients by year from 2018 to 2024, divided by two categories: less than seventy and seventy or more. The percentage in each category is labeled within the bars. The share of recipients aged seventy or more increases significantly from 1.4% in 2018 to 16.5% in 2024.</alt-text>
</graphic>
</fig>
<p>Our recipients aged &#x2265;70&#xa0;years demonstrated favorable outcomes with an overall survival of 94.4% at 1 year and a 3-year and 5-year survival of 89.5% and graft survival of 94.4% at 1 year, and a 3-year and 5-year survival of 89.5%, with no difference compared to the younger cohort.</p>
<p>These results are consistent with those reported by Wilson et al. [<xref ref-type="bibr" rid="B12">12</xref>] in a multicenter cohort of 312 LT recipients aged &#x2265;70&#xa0;years, from 2007 to 2011, with a median MELD score of 15. They found a 1-year overall survival of 84.9% and similar postoperative complications, with no differences in the adjusted analysis compared to a matched cohort of patients younger than 70 years old.</p>
<p>However, their mid- and long-term results were less favorable, with unadjusted survival rates in the elderly cohort of 74.0% at 3 years and 64.1% at 5 years, significantly lower compared to younger recipients.</p>
<p>Similarly, a recent single-center study by Toiv et al. [<xref ref-type="bibr" rid="B13">13</xref>], reported outcomes, from 2014 to 2023, of 43 liver transplant recipients aged &#x2265;70&#xa0;years in comparison to a cohort of 956 recipients aged &#x3c;70&#xa0;years. The elderly group had a lower median MELD score (21.4 vs. 24.9), a higher prevalence of MASLD (51.2% vs. 23.0%) higher rates of diabetes and hyperlipidemia compared to the younger group. The elderly group had significantly longer median hospital stay (25.5 vs. 14&#xa0;days), but there were no differences in overall patient or graft survival compared to the younger cohort. In the elderly group overall survival was 93% at 1 year, and 78% at 3 and 5 years. The outcomes of this study are similar to ours; however, our older cohort had lower median MELD score (13 vs. 21.4), and shorter hospital stay (14.5 vs. 25.5&#xa0;days), with no difference between groups, likely as effect of selection.</p>
<p>Earlier series have reported similar outcomes (<xref ref-type="table" rid="T5">Table 5</xref>). A study from Mayo Clinic analyzing data from 1998 to 2004 showed comparable 5-year survival rates and no significant differences in postoperative complications between LT recipients aged &#x2265;70&#xa0;years (73%) and &#x3c;60 years (76%), in two matched cohorts of 42 patients in each group [<xref ref-type="bibr" rid="B15">15</xref>].</p>
<table-wrap id="T5" position="float">
<label>TABLE 5</label>
<caption>
<p>Overview of liver transplant outcomes in patients &#x2265;70.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Author</th>
<th align="center">Study population</th>
<th align="center">No. of patients included</th>
<th align="center">Compared groups</th>
<th align="center">Outcomes</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Lipshutz [<xref ref-type="bibr" rid="B14">14</xref>]</td>
<td align="center">Single center, USA</td>
<td align="center">926</td>
<td align="left">&#x2265;70&#xa0;years (n &#x3d; 62) vs. 50&#x2013;59&#xa0;years (n &#x3d; 864)</td>
<td align="left">1-, 3-, 5- and 10-y OS: 73.3%, 65.8%, 47.1%, 39.7% (&#x2265;70&#xa0;years); similar outcomes to younger patients in the unadjusted analysis</td>
</tr>
<tr>
<td align="left">Aduen [<xref ref-type="bibr" rid="B15">15</xref>]</td>
<td align="center">Single center, USA</td>
<td align="center">84</td>
<td align="left">&#x2265;70 (n &#x3d; 42) vs. &#x3c;60&#xa0;years (n &#x3d; 42)</td>
<td align="left">Similar 5-year mortality risk and graft loss</td>
</tr>
<tr>
<td align="left">Wilson [<xref ref-type="bibr" rid="B12">12</xref>]</td>
<td align="center">SRTR and UHC databases, USA</td>
<td align="center">12,445</td>
<td align="left">&#x2265;70&#xa0;years (n &#x3d; 323) vs. 18&#x2013;69 (n &#x3d; 12,122)<break/>(1:1 matched)</td>
<td align="left">Unmatched analysis: similar GS, worse 1-,3- and 5&#xa0;years OS in the &#x2265;70&#xa0;years: 84.9, 74% and 64.1%<break/>Matched analysis: similar GS and OS</td>
</tr>
<tr>
<td align="left">Sharpton [<xref ref-type="bibr" rid="B10">10</xref>]</td>
<td align="center">UNOS registry</td>
<td align="center">15,677</td>
<td align="left">Stratified by age (18&#x2013;59 (n &#x3d; 11,966), 60&#x2013;64 (n &#x3d; 2,181), 65&#x2013;69 (n &#x3d; 1,177) and &#x2265;70&#xa0;years (n &#x3d; 343) and MELD</td>
<td align="left">&#x2265;70&#xa0;years, MELD &#x3c;20, 1&#xa0;y&#xa0;GS: 85%, p &#x3d; 0.01<break/>&#x2265;70&#xa0;years, MELD 20&#x2013;27, 1&#xa0;y&#xa0;GS: 75%, p &#x3d; 0.02<break/>&#x2265;70&#xa0;years, MELD &#x2265;28, 1&#xa0;y&#xa0;GS: 56%, p &#x3c; 0.001<break/>GS significantly lower than other groups, however attenuated for LT-MELD &#x3c;28</td>
</tr>
<tr>
<td align="left">Sharma [<xref ref-type="bibr" rid="B11">11</xref>]</td>
<td align="center">UNOS registry</td>
<td align="center">61,873 (HCC groups) 47,043 (HCV groups)</td>
<td align="left">&#x2265;70&#xa0;years vs. &#x3c;70&#xa0;years (HCC vs. non-HCC and HCV vs. non-HCV)</td>
<td align="left">5&#xa0;years OS: 59.9% vs. 68.6% (HCC, p &#x3c; 0.01) and 61.2% vs. 74.2% (non-HCC, p &#x3c; 0.001)<break/>5&#xa0;years OS: 60.7% vs. 69% (HCV, p &#x3c; 0.01) and 62.6% vs. 78.5% (non-HCV, p &#x3c; 0.001)</td>
</tr>
<tr>
<td align="left">Gil [<xref ref-type="bibr" rid="B26">26</xref>]</td>
<td align="center">KNHI, Korea</td>
<td align="center">9,415</td>
<td align="left">&#x2265;70&#xa0;years (n &#x3d; 84) vs. younger groups</td>
<td align="left">Risk of death in &#x2265;70&#xa0;years four-hold higher (OR &#x3d; 4.1, 95% CI2.21&#x2013;7.58; p &#x3c; 0.001). 20% in-hospital mortality for &#x2265;70&#xa0;years</td>
</tr>
<tr>
<td align="left">Toiv [<xref ref-type="bibr" rid="B13">13</xref>]</td>
<td align="center">Single center, USA</td>
<td align="center">999</td>
<td align="left">&#x2265;70 n &#x3d; (43) y vs. &#x3c;70&#xa0;years (n &#x3d; 956)</td>
<td align="left">Similar 1-, 3- and 5&#xa0;years OS: 93, 78% and 78% (&#x2265;70&#xa0;years) vs. 92, 86% and 82% (&#x3c;70&#xa0;years)</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Similarly, Lipshutz et al., in a series from 1988 to 2005, demonstrated comparable graft and overall survival outcomes in patients aged &#x2265;70&#xa0;years (n &#x3d; 62) compared to a younger group aged between 50 and 59 years (n &#x3d; 864) [<xref ref-type="bibr" rid="B14">14</xref>]. Mousa et.al. reported a 5- and 10-year overall survival after LT of 70.8% and 43.6% for a cohort of 162 patients over 70 years old [<xref ref-type="bibr" rid="B24">24</xref>]. As previously reported [<xref ref-type="bibr" rid="B3">3</xref>], HCC did not affect the outcomes of elderly patients after LT.</p>
<p>The first concern in elderly recipients is represented by early mortality.</p>
<p>In a nationwide Korean study from Gil et al. [<xref ref-type="bibr" rid="B25">25</xref>], who analyzed 9415 LT from 2007 to 2016 and included 84 recipients older than 70&#xa0;years (47 Deceased Donor Liver Transplant and 37 Living Donor Liver Transplant), reported that in-hospital mortality increased significantly with age beyond 60 years old. Specifically, post-liver transplant in-hospital mortality of recipients over 70, adjusted for baseline liver disease, was 4.2 times higher than in patients aged between 51 and 55 years (20.2% vs. 4.8%), and almost 3 times higher after adjusting for perioperative complications. They also reported increasing costs with age [<xref ref-type="bibr" rid="B25">25</xref>].</p>
<p>Similarly, Gomez Gavara et al. [<xref ref-type="bibr" rid="B6">6</xref>], indicated age over 65 years as an independent prognostic factor for mortality and graft loss. They analyzed data of 10,172 liver recipients (1,062 older than 65&#xa0;years old) from European Liver Transplant Registry (ELTR) and showed worse overall patient survival in recipients over 65&#xa0;years (85% at 1&#xa0;year, 71% at 3&#xa0;years, 59% at 5&#xa0;years and 55% at 10&#xa0;years) and worse graft survival (84% at 1 year, 71% at 3&#xa0;years, 59% at 5&#xa0;years and 55% at 10 years), confirmed after PSM. However, in their subgroup analysis, they identified transplant indication as a major prognostic factor in elderly patients. In this group, while outcomes for HCC were similar to younger patients, alcohol-related cirrhosis showed worse 5 and 10-year survival of 47% and 33%, attributed to frailty and sarcopenia.</p>
<p>In our study, due to accurate selection, no increased mortality was observed in the elderly group.</p>
<p>MELD score has a prominent influence on postoperative outcomes and remains an important variable in assessing candidacy for LT in patients over 70&#xa0;years. Sharpton et al. [<xref ref-type="bibr" rid="B10">10</xref>] analyzed UNOS database that included all adult LT from 2005 to 2010, of which 343 were recipients older than 70&#xa0;years old. They evaluated the combined effect of recipient&#x2019;s age and MELD at the time of LT and reported a poor 1-year graft survival of 56% for recipients &#x2265;70 and MELD &#x2265;28.</p>
<p>However, in the same age group, MELD &#x2264;20 and MELD between 20 and 27 showed better outcomes, with one-year graft survival rates of 85% and 75%, respectively, with no significant interaction between recipient age and MELD &#x3c;28. Considering a lower median MELD in our older cohort, our results emphasize that, rather than age alone, liver disease severity should guide eligibility.</p>
<p>Moreover, cardiac risk is a critical prognostic factor in elderly recipients, as emerged by the series of Audet et al. [<xref ref-type="bibr" rid="B26">26</xref>]. In their study, recipients &#x2265;65&#xa0;years old (n &#x3d; 34) showed higher mortality compared to younger controls. In the elderly group, 50% had a history of coronary artery disease (CAD), and the mortality rate due to cardiac causes was significantly higher. One and 3-year survival rates were 87% and 81.5%. As previously reported [<xref ref-type="bibr" rid="B14">14</xref>], cardiovascular events represent a major cause of mortality in older LT recipients and accurate cardiological screening is necessary to identify high-risk candidates.</p>
<p>In current literature, there are no strictly defined criteria for the exclusion of elderly patients from LT. Previous studies, as discussed above, have identified factors associated with increased post-transplant mortality risk: high MELD scores &#x2265;28, the presence of CAD and high comorbidity burden, expressed as mCCI &#x3e;1 [<xref ref-type="bibr" rid="B17">17</xref>].</p>
<p>At our center the selection process for elderly recipients is based on a case-by-case evaluation, taking into account the benefits and risks associated with transplantation, the general health status, comorbidities, and perioperative risk. However, as reflected by our elderly cohort characteristics, selection is oriented to minimize these high-risk factors. Accordingly, in our elderly cohort, only 2 patients had history of CAD and only 4 patients had MELD score &#x2265;28. Moreover, our elderly cohort showed a low comorbidity burden, with 81.6% of the elderly patients having mCCI &#x3c;2.</p>
<p>Several limitations must be acknowledged to interpret our results appropriately. First, this is a retrospective single-center analysis with a relatively small number of elderly recipients. Given the design of our study, our purpose was not to draw definitive conclusions but to contribute to the ongoing research with additional data from our experience. Additionally, as recipient selection was based on a multidisciplinary board evaluation, the process did not rely on objective or reproducible selection criteria. Although our outcomes are quite favorable, they may be the result of careful local selection practices and may not be reproduced by other centers.</p>
<p>Second, this study includes only patients who received LT and therefore does not account for patients aged &#x2265;70 years who were evaluated but ultimately excluded from liver transplantation. Because data on declined candidates were not systematically recorded during the study period, we were unable to analyze the characteristics in this group and the reasons for exclusion.</p>
<p>Third, frailty and sarcopenia were not consistently assessed in our cohort and were therefore not included in the comparative analysis. The modified Charlson Comorbidity Index (mCCI) was used as a surrogate measure of comorbidity burden, but this does not replace validated frailty metrics. Sarcopenia, as a surrogate marker of frailty, has been associated with unfavorable outcomes following liver transplantation [<xref ref-type="bibr" rid="B22">22</xref>]; however, as shown in our results, variability in cut-off thresholds across studies limits its reliability as a standalone clinical parameter.</p>
<p>Finally, long-term outcomes such as 10-year overall and graft survival could not be evaluated, as the follow-up period was limited to 5 years.</p>
<p>These limitations highlight the need for prospective, multicenter studies with standardized data collection and reproducible selection criteria for elderly candidates; future research should incorporate sarcopenia in combination with objective and functional frailty assessments, evaluate both accepted and declined candidates, and include quality of life assessment [<xref ref-type="bibr" rid="B7">7</xref>] to better define transplant candidacy in patients &#x2265;70 years.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s5">
<title>Data Availability Statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec sec-type="ethics-statement" id="s6">
<title>Ethics Statement</title>
<p>The studies involving humans were approved by the local Ethics Committee of IRCSS AOUBO, Comitato Etico Area Vasta Emilia Centro (CET AVEC). The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation was not required from the participants or the participants&#x2019; legal guardians/next of kin because of the observational nature of the study.</p>
</sec>
<sec sec-type="author-contributions" id="s7">
<title>Author Contributions</title>
<p>Conceptualization: EdP, EnP, MS, MC. Methodology: EdP, EnP, MS. Data curation: EdP, EnP, MS, CB, GF, AS, GR, FM, CL. Formal analysis: EnP, MS. Writing &#x2013; original draft: EdP, EnP, CB. Writing &#x2013; review and editing: MC, MS. Supervision: MC, AS, MM, MR.</p>
</sec>
<sec sec-type="COI-statement" id="s9">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="s10">
<title>Generative AI Statement</title>
<p>The authors declare that Generative AI was used in the creation of this manuscript. AI was only employed in order to refine grammar and syntax. Scientific content and data interpretation belonged entirely to the authors.</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>
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