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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">16021</article-id>
<article-id pub-id-type="doi">10.3389/ti.2026.16021</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 Renal Outcomes Following Left Renal Vein Ligation Versus Direct Splenorenal Shunt Ligation in Living Donor Liver Transplantation: A 10-Year Single-Center Study</article-title>
<alt-title alt-title-type="left-running-head">Kang et al.</alt-title>
<alt-title alt-title-type="right-running-head">LRVL in Liver Transplantation</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Kang</surname>
<given-names>Woo-Hyoung</given-names>
</name>
<xref ref-type="aff" rid="aff1"/>
<uri xlink:href="https://loop.frontiersin.org/people/3308248"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Moon</surname>
<given-names>Deok-Bog</given-names>
</name>
<xref ref-type="aff" rid="aff1"/>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hwang</surname>
<given-names>Shin</given-names>
</name>
<xref ref-type="aff" rid="aff1"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kim</surname>
<given-names>Ki-Hun</given-names>
</name>
<xref ref-type="aff" rid="aff1"/>
<uri xlink:href="https://loop.frontiersin.org/people/1684556"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ahn</surname>
<given-names>Chul-Soo</given-names>
</name>
<xref ref-type="aff" rid="aff1"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ha</surname>
<given-names>Tae-Yong</given-names>
</name>
<xref ref-type="aff" rid="aff1"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Song</surname>
<given-names>Gi-Won</given-names>
</name>
<xref ref-type="aff" rid="aff1"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Jung</surname>
<given-names>Dong-Hwan</given-names>
</name>
<xref ref-type="aff" rid="aff1"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Park</surname>
<given-names>Gil-Chun</given-names>
</name>
<xref ref-type="aff" rid="aff1"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yoon</surname>
<given-names>Young-In</given-names>
</name>
<xref ref-type="aff" rid="aff1"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Na</surname>
<given-names>Byeong-Gon</given-names>
</name>
<xref ref-type="aff" rid="aff1"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kim</surname>
<given-names>Sang-Hoon</given-names>
</name>
<xref ref-type="aff" rid="aff1"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kim</surname>
<given-names>Sung-Min</given-names>
</name>
<xref ref-type="aff" rid="aff1"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lee</surname>
<given-names>Sung-Gyu</given-names>
</name>
<xref ref-type="aff" rid="aff1"/>
<uri xlink:href="https://loop.frontiersin.org/people/1851269"/>
</contrib>
</contrib-group>
<aff id="aff1">
<institution>Division of Liver Transplantation and Hepatobiliary Surgery, Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine</institution>, <city>Seoul</city>, <country country="KR">Republic of Korea</country>
</aff>
<author-notes>
<corresp id="c001">
<label>&#x2a;</label>Correspondence: Deok-Bog Moon, <email xlink:href="mailto:mdb1@amc.seoul.kr">mdb1@amc.seoul.kr</email>
</corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-18">
<day>18</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>39</volume>
<elocation-id>16021</elocation-id>
<history>
<date date-type="received">
<day>09</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>31</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>02</day>
<month>02</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Kang, Moon, Hwang, Kim, Ahn, Ha, Song, Jung, Park, Yoon, Na, Kim, Kim and Lee.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Kang, Moon, Hwang, Kim, Ahn, Ha, Song, Jung, Park, Yoon, Na, Kim, Kim and Lee</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-18">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>In living donor liver transplantation (LDLT), large splenorenal shunts (SRS) can divert portal inflow and negatively affect graft function due to portal steal syndrome. Direct SRS ligation (SRSL) and left renal vein ligation (LRVL) are used to prevent this complication; however, the long-term renal impact of LRVL remains unclear, particularly in recipients requiring nephrotoxic immunosuppression. We retrospectively analyzed adult LDLT recipients with large SRS (&#x3e;1&#xa0;cm) and normal baseline renal function who underwent SRSL (n &#x3d; 120) or LRVL (n &#x3d; 74). Patient and graft survival, serial renal function profiles, and tacrolimus trough levels were evaluated. Survival outcomes were comparable between the two groups. LRVL was more frequently performed in patients with higher preoperative Model for End-Stage Liver Disease (MELD) scores or increased transfusion requirements. During long-term follow-up, the LRVL group showed a more evident decline in renal function, with persistently higher serum creatinine levels, despite similar tacrolimus exposure. Four recipients in the LRVL group progressed to end-stage renal disease requiring dialysis within 10 years, whereas no dialysis cases occurred following SRSL. Although both strategies are clinically feasible, LRVL demonstrated a stronger association with progressive renal deterioration. These findings suggest that SRSL may be preferred in recipients with renal vulnerability to minimize cumulative renal burden.</p>
</abstract>
<abstract abstract-type="graphical">
<title>Graphical Abstract</title>
<p>
<fig>
<graphic xlink:href="TI_ti-2026-16021_wc_abs.tif" position="anchor">
<alt-text content-type="machine-generated">Infographic summarizing a 10-year study comparing left renal vein ligation (LRVL) versus direct splenorenal shunt ligation (SRSL) in adult living donor liver transplant recipients. Diagram labels LRVL and SRSL shunt sites. Results state similar graft and patient survival; LRVL is preferred in difficult cases, but only LRVL had higher creatinine and dialysis rates. Conclusion notes both approaches are feasible, with SRSL possibly better for long-term renal protection.</alt-text>
</graphic>
</fig>
</p>
</abstract>
<kwd-group>
<kwd>end-stage liver disease</kwd>
<kwd>left renal vein ligation</kwd>
<kwd>living donor liver transplantation</kwd>
<kwd>nephrotoxicity</kwd>
<kwd>splenorenal shunt ligation</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="6"/>
<table-count count="6"/>
<equation-count count="0"/>
<ref-count count="12"/>
<page-count count="11"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>In patients with end-stage liver disease, portal hypertension frequently leads to the formation of spontaneous portosystemic shunts, including coronary, periumbilical, and splenorenal shunts (SRS). Among these, large SRSs can divert portal blood flow away from the liver graft after living donor liver transplantation (LDLT), resulting in portal steal syndrome. This condition may compromise graft regeneration and function, potentially leading to graft failure. Therefore, intraoperative interruption of large shunts is essential to ensure adequate portal inflow and graft survival [<xref ref-type="bibr" rid="B1">1</xref>&#x2013;<xref ref-type="bibr" rid="B3">3</xref>].</p>
<p>The following two major surgical approaches are used to interrupt SRSs: Direct splenorenal shunt ligation (SRSL) and left renal vein ligation (LRVL) [<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>]. SRSL involves anatomically precise identification and ligation of the shunt vessel itself, but often present technical challenges during the procedure (particularly in patients with severe adhesions or complex vascular anatomy) and carries a risk of bleeding from surrounding tissues or from the shunt itself. In contrast, LRVL achieves functional interruption of the SRS by ligating the left renal vein (LRV), and is often preferred due to its simplicity and ease of access.</p>
<p>Our institution previously reported the safety and feasibility of LRVL in LDLT, and several subsequent studies have confirmed its effectiveness in preventing portal steal syndrome and maintaining stable portal perfusion [<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B4">4</xref>]. However, concerns persist regarding the potential impact of LRVL on renal function. Because the LRV is the major venous drainage pathway for the left kidney, its ligation may lead to venous congestion and impaired renal perfusion. Although previous nontransplant studies have suggested that LRV ligation has minimal long-term effects on renal function&#x2014;because collateral pathways such as the left gonadal vein can provide sufficient outflow&#x2014;the applicability of these findings to transplant recipients remains to be evaluated [<xref ref-type="bibr" rid="B6">6</xref>&#x2013;<xref ref-type="bibr" rid="B9">9</xref>].</p>
<p>To date, most studies on LRVL in LDLT have focused on surgical feasibility and short-term safety, with few addressing long-term renal outcomes. Moreover, there is a lack of direct comparisons between SRSL and LRVL in the transplant setting, especially using methodologies that adjust for baseline differences in renal function and comorbidities.</p>
<p>We aimed to compare the long-term outcomes of patients undergoing either LRVL or SRSL during LDLT, focusing on graft-related endpoints such as shunt recanalization, graft failure, and patient survival, as well as changes in renal function. To account for baseline differences, propensity score matching was applied, and renal function was assessed over a 10-year follow-up period in a single-center setting using a consistent immunosuppressive protocol.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>Materials and Methods</title>
<sec id="s2-1">
<title>Study Design and Patient Selection</title>
<p>This retrospective single-center cohort study was conducted at Asan Medical Center and included adult patients who underwent LDLT between January 2009 and December 2015. Among 267 patients with spontaneous SRSs &#x3e;1&#xa0;cm in diameter and preserved renal function (serum creatinine &#x2264;1.4&#xa0;mg/dL), 194 were selected for analysis based on having undergone one of the two intraoperative shunt interruption techniques: LRVL (n &#x3d; 74) or SRSL (n &#x3d; 120). The remaining 73 patients were excluded because they had received alternative treatments for SRS&#x2014;such as selective embolization, plug-assisted retrograde transvenous obliteration, or proximal splenic vein embolization [<xref ref-type="bibr" rid="B5">5</xref>]&#x2014;or were managed with immunosuppressive regimens other than tacrolimus.</p>
</sec>
<sec id="s2-2">
<title>Surgical Techniques</title>
<p>The method for SRS interruption was determined intraoperatively based on a comprehensive assessment of anatomical feasibility, severity of adhesions, complexity of collateral circulation, and hemodynamic stability. Portal hemodynamics were primarily evaluated using real-time cine-portography. Portal pressure was not routinely measured. The presence of portal flow diversion through collateral vessels, as well as the velocity and direction of portal flow, was directly visualized on cine-portography. Restoration of hepatopetal flow after ligation was confirmed jointly by the transplant surgeon and the interventional radiologist. In all cases, intraoperative portography was performed to verify adequate portal inflow and confirm the absence of residual portal steal [<xref ref-type="bibr" rid="B10">10</xref>].</p>
<p>Dissection of the SRS or the LRV was carried out either during total hepatectomy or after graft implantation. However, ligation was typically performed after portal reperfusion to avoid portal hypertension and ensure adequate graft inflow.</p>
<p>In the SRSL group, patients with a single collateral draining into the LRV underwent direct ligation of the shunt. The mesocolon was dissected to expose the LRV near the ligament of Treitz or the inferior mesenteric vein. The shunt was then isolated circumferentially and ligated using thick silk ties or vascular nylon tape (<xref ref-type="fig" rid="F1">Figure 1A</xref>). In the LRVL group, Kocherization was performed to mobilize the duodenum and mesocolon from the inferior vena cava, thereby exposing the LRV along its left side. After careful dissection, the LRV was completely encircled and fully ligated (<xref ref-type="fig" rid="F1">Figure 1B</xref>). Compared with SRSL, this approach was technically simpler and provided a safer access route with lower risk of injury to adjacent vessels.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Representative illustrations of the available techniques to prevent splenorenal shunt (SRS). <bold>(A)</bold> Isolation of the splenorenal shunt for direct ligation (SRSL). <bold>(B)</bold> Isolation of the left renal vein after Kocherization for left renal vein ligation (LRVL).</p>
</caption>
<graphic xlink:href="ti-39-16021-g001.tif">
<alt-text content-type="machine-generated">Panel A shows a close-up of surgery identifying the isolated splenorenal shunt (SRS) and left renal vein (LRV) with labeled arrows. Panel B displays liver surgery highlighting the isolated LRV and infrahepatic inferior vena cava (IVC) using labeled arrows.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s2-3">
<title>Study Objectives and Endpoints</title>
<p>This study had two predefined objectives. The primary objective was to compare the long-term clinical outcomes of the two surgical approaches, including patient mortality, graft failure or need for retransplantation, and shunt recannulation. The secondary objective was to evaluate the differential effects of SRSL and LRVL on long-term renal function following a consistent immunosuppressive regimen.</p>
</sec>
<sec id="s2-4">
<title>Renal Function and Immunosuppression Assessment</title>
<p>All patients had normal preoperative renal function and no history of kidney disease. Renal function was assessed using serum creatinine levels at postoperative intervals of 1 week, 1 month, 6 months, and 1, 3, 5, and 10 years. We also documented whether any patients required initiation of dialysis during the follow-up period. Patients in both groups received tacrolimus-based immunosuppression, and tacrolimus trough levels were analyzed as a supportive indicator to ensure comparable immunosuppressive exposure between the two groups. When tacrolimus dose reduction was required because of nephrotoxicity, mycophenolate mofetil or other non-nephrotoxic agents were added according to standard institutional protocols to maintain adequate immunosuppression.</p>
</sec>
<sec id="s2-5">
<title>Statistical Analysis</title>
<p>To minimize baseline imbalances between the two groups and control for potential confounders affecting renal function, propensity score matching was performed. Matched variables included age, sex, graft-to-recipient weight ratio, Model for End-Stage Liver Disease (MELD) score, presence of diabetes mellitus and hypertension, preoperative serum creatinine, and intraoperative red blood cell transfusion volume [<xref ref-type="bibr" rid="B11">11</xref>]. One-to-one nearest-neighbor matching with a caliper of 0.2 was applied. After matching, balance between the groups was assessed using standardized mean differences. Because procedural selection was influenced by intraoperative findings and surgeon judgment, we included MELD score and intraoperative RBC transfusion volume as pragmatic surrogate indicators of overall surgical complexity and physiological instability. Although prior abdominal surgery and previous episodes of spontaneous bacterial peritonitis may partially reflect surgical difficulty, their impact is variable and difficult to quantify objectively. Surgeon-related factors could not be quantified and therefore could not be directly adjusted for.</p>
<p>For the longitudinal assessment of renal function, both fixed-effects models and linear mixed-effects models were used to account for repeated measurements over time. The postoperative follow-up period was divided into an early (0&#x2013;1 years), an intermediate (1&#x2013;5 years), and a late (5&#x2013;10 years) phase, and temporal changes in creatinine levels as well as group-by-time interactions were evaluated accordingly. Period-specific changes in creatinine levels (&#x394;Cr) were also analyzed to compare long-term renal trajectories between the LRVL and SRSL groups. Tacrolimus trough levels were analyzed using similar phase-specific fixed-effects models to evaluate differences in immunosuppression tapering patterns between the groups. Patient and graft survival were analyzed using the Kaplan&#x2013;Meier method, and between-group differences were assessed with the log-rank test. Continuous variables were compared using Student&#x2019;s t-test or the Mann&#x2013;Whitney U test, while categorical variables were analyzed using the chi-square test or Fisher&#x2019;s exact test, as appropriate. All statistical analyses were performed under the guidance of a medical statistician from our institution to ensure appropriate model selection and methodological validity.</p>
<p>This study was conducted with approval from the Institutional Review Board of Asan Medical Center (IRB No. AMC 2022-0763).</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec id="s3-1">
<title>Baseline Characteristics of the Original Cohort</title>
<p>A total of 194 adult LDLT recipients with large spontaneous SRSs were included in the analysis, comprising 120 patients in the SRSL group and 74 in the LRVL group. Most baseline characteristics were comparable between the two groups. The mean age was similar (52.3 vs. 53.0 years, p &#x3d; 0.500), and the sex distribution was nearly identical (male participants: 67.5% vs. 67.6%). The presence of diabetes mellitus and hypertension, the primary liver disease patterns, the graft-to-recipient weight ratio, and the preoperative serum creatinine levels were also well balanced (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Baseline cohort characteristics.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Characteristic</th>
<th rowspan="2" align="left">Category</th>
<th align="center">SRS ligation</th>
<th align="center">LRV ligation</th>
<th rowspan="2" align="center">p-value</th>
<th rowspan="2" align="center">SMD</th>
</tr>
<tr>
<th align="center">120</th>
<th align="center">74</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Sex (%)</td>
<td align="left">Male</td>
<td align="center">81 (67.5)</td>
<td align="center">50 (67.6)</td>
<td align="center">1.000</td>
<td align="center">0.001</td>
</tr>
<tr>
<td align="left">&#x200b;</td>
<td align="left">Female</td>
<td align="center">39 (32.5)</td>
<td align="center">24 (32.4)</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">Age (mean [SD])</td>
<td align="left">&#x200b;</td>
<td align="center">52.33 (6.96)</td>
<td align="center">53.00 (6.19)</td>
<td align="center">0.500</td>
<td align="center">0.101</td>
</tr>
<tr>
<td align="left">Original disease (%)</td>
<td align="left">HBV</td>
<td align="center">83 (69.2)</td>
<td align="center">51 (68.9)</td>
<td align="center">0.661</td>
<td align="center">0.287</td>
</tr>
<tr>
<td align="left">&#x200b;</td>
<td align="left">HCV</td>
<td align="center">6 (5.0)</td>
<td align="center">2 (2.7)</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">&#x200b;</td>
<td align="left">ALD</td>
<td align="center">17 (14.2)</td>
<td align="center">11 (14.9)</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">&#x200b;</td>
<td align="left">PSC</td>
<td align="center">1 (0.8)</td>
<td align="center">0 (0.0)</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">&#x200b;</td>
<td align="left">AI</td>
<td align="center">2 (1.7)</td>
<td align="center">0 (0.0)</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">&#x200b;</td>
<td align="left">Other</td>
<td align="center">11 (9.2)</td>
<td align="center">10 (13.5)</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">GRWR (mean [SD])</td>
<td align="left">&#x200b;</td>
<td align="center">1.17 (0.28)</td>
<td align="center">1.14 (0.25)</td>
<td align="center">0.437</td>
<td align="center">0.117</td>
</tr>
<tr>
<td align="left">MELD (mean [SD])</td>
<td align="left">&#x200b;</td>
<td align="center">14.21 (6.27)</td>
<td align="center">17.73 (5.98)</td>
<td align="center">&#x3c;0.001</td>
<td align="center">0.575</td>
</tr>
<tr>
<td align="left">DM (%)</td>
<td align="left">No</td>
<td align="center">93 (77.5)</td>
<td align="center">52 (70.3)</td>
<td align="center">0.339</td>
<td align="center">0.165</td>
</tr>
<tr>
<td align="left">&#x200b;</td>
<td align="left">Yes</td>
<td align="center">27 (22.5)</td>
<td align="center">22 (29.7)</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">HTN (%)</td>
<td align="left">No</td>
<td align="center">104 (86.7)</td>
<td align="center">64 (86.5)</td>
<td align="center">1.000</td>
<td align="center">0.005</td>
</tr>
<tr>
<td align="left">&#x200b;</td>
<td align="left">Yes</td>
<td align="center">16 (13.3)</td>
<td align="center">10 (13.5)</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">Preoperative serum creatinine (mean [SD])</td>
<td align="left">&#x200b;</td>
<td align="center">0.72 (0.23)</td>
<td align="center">0.72 (0.20)</td>
<td align="center">0.882</td>
<td align="center">0.022</td>
</tr>
<tr>
<td align="left">Intraoperative RBC transfusion, unit (mean [SD])</td>
<td align="left">&#x200b;</td>
<td align="center">7.85 (7.06)</td>
<td align="center">15.36 (10.66)</td>
<td align="center">&#x3c;0.001</td>
<td align="center">0.831</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>HBV, hepatitis B virus; HCV, hepatitis C virus; ALD, alcoholic liver disease; PSC, primary sclerosing cholangitis; AI, autoimmune hepatitis; GRWR, graft-to-recipient weight ratio; MELD, model for end-stage liver disease; DM, diabetes mellitus; HTN, hypertension; Cr, creatinine; RBC, red blood cell; SMD, standardized mean difference; SRS, splenorenal shunt; LRV, left renal vein.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Two variables demonstrated significant differences: The LRVL group exhibited a higher mean MELD score (17.7 &#xb1; 6.0 vs. 14.2 &#xb1; 6.3, p &#x3c; 0.001), suggesting increased disease severity at transplantation. Additionally, intraoperative red blood cell transfusion volumes were noticeably higher in the LRVL group (15.4 &#xb1; 10.7 vs. 7.9 &#xb1; 7.1 units, p &#x3c; 0.001). These findings suggest that LRVL was more frequently selected in surgically complex or hemodynamically challenging situations, rather than being applied uniformly across the cohort.</p>
</sec>
<sec id="s3-2">
<title>Baseline Characteristics After Propensity Score Matching</title>
<p>To reduce potential confounding from preoperative or intraoperative variables that may influence long-term renal outcomes, 1:1 propensity score matching was performed using age, sex, MELD score, graft-to-recipient weight ratio, presence of diabetes and hypertension, preoperative serum creatinine levels, and intraoperative RBC transfusion volume. Matching with a caliper of 0.2 yielded 58 well-balanced pairs (n &#x3d; 116).</p>
<p>After matching, most covariates achieved acceptable balance. Although minor residual imbalance remained in baseline creatinine, this difference was limited and clinically marginal. Overall, the matching process substantially improved comparability between the two groups (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Baseline characteristics in matched cohort.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Characteristic</th>
<th rowspan="2" align="left">Category</th>
<th align="center">SRS ligation</th>
<th align="center">LRV ligation</th>
<th rowspan="2" align="center">p-value</th>
<th rowspan="2" align="center">SMD</th>
</tr>
<tr>
<th align="center">58</th>
<th align="center">58</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Sex (%)</td>
<td align="left">Male</td>
<td align="center">41 (70.7)</td>
<td align="center">41 (70.7)</td>
<td align="center">1</td>
<td align="center">&#x3c;0.001</td>
</tr>
<tr>
<td align="left">&#x200b;</td>
<td align="left">Female</td>
<td align="center">17 (29.3)</td>
<td align="center">17 (29.3)</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">Age (mean [SD])</td>
<td align="left">&#x200b;</td>
<td align="center">53.48 (7.68)</td>
<td align="center">53.47 (5.32)</td>
<td align="center">0.989</td>
<td align="center">0.003</td>
</tr>
<tr>
<td align="left">Original disease (%)</td>
<td align="left">HBV</td>
<td align="center">32 (55.2)</td>
<td align="center">45 (77.6)</td>
<td align="center">0.129</td>
<td align="center">0.512</td>
</tr>
<tr>
<td align="left">&#x200b;</td>
<td align="left">HCV</td>
<td align="center">4 (6.9)</td>
<td align="center">2 (3.4)</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">&#x200b;</td>
<td align="left">ALD</td>
<td align="center">13 (22.4)</td>
<td align="center">6 (10.3)</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">&#x200b;</td>
<td align="left">PSC</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">&#x200b;</td>
<td align="left">AI</td>
<td align="center">1 (1.7)</td>
<td align="center">0 (0.0)</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">&#x200b;</td>
<td align="left">Other</td>
<td align="center">8 (13.8)</td>
<td align="center">5 (8.6)</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">GRWR (mean [SD])</td>
<td align="left">&#x200b;</td>
<td align="center">1.15 (0.29)</td>
<td align="center">1.14 (0.26)</td>
<td align="center">0.843</td>
<td align="center">0.037</td>
</tr>
<tr>
<td align="left">MELD (mean [SD])</td>
<td align="left">&#x200b;</td>
<td align="center">16.93 (7.42)</td>
<td align="center">16.33 (5.13)</td>
<td align="center">0.612</td>
<td align="center">0.095</td>
</tr>
<tr>
<td align="left">DM (%)</td>
<td align="left">No</td>
<td align="center">40 (69.0)</td>
<td align="center">39 (67.2)</td>
<td align="center">1</td>
<td align="center">0.037</td>
</tr>
<tr>
<td align="left">&#x200b;</td>
<td align="left">Yes</td>
<td align="center">18 (31.0)</td>
<td align="center">19 (32.8)</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">HTN (%)</td>
<td align="left">No</td>
<td align="center">51 (87.9)</td>
<td align="center">51 (87.9)</td>
<td align="center">1</td>
<td align="center">&#x3c;0.001</td>
</tr>
<tr>
<td align="left">&#x200b;</td>
<td align="left">Yes</td>
<td align="center">7 (12.1)</td>
<td align="center">7 (12.1)</td>
<td align="center">&#x200b;</td>
<td align="center">&#x200b;</td>
</tr>
<tr>
<td align="left">Preoperative serum creatinine (mean [SD])</td>
<td align="left">&#x200b;</td>
<td align="center">0.74 (0.25)</td>
<td align="center">0.71 (0.19)</td>
<td align="center">0.558</td>
<td align="center">0.109</td>
</tr>
<tr>
<td align="left">Intraoperative RBC transfusion, unit (mean [SD])</td>
<td align="left">&#x200b;</td>
<td align="center">11.45 (8.07)</td>
<td align="center">11.59 (8.22)</td>
<td align="center">0.928</td>
<td align="center">0.017</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>HBV, hepatitis B virus; HCV, hepatitis C virus; ALD, alcoholic liver disease; PSC, primary sclerosing cholangitis; AI, autoimmune hepatitis; GRWR, graft-to-recipient weight ratio; MELD, Model For End-Stage Liver Disease; DM, diabetes mellitus; HTN, hypertension; Cr, creatinine; RBC, red blood cell; SMD, standardized mean difference; SRS, splenorenal shunt; LRV, left renal vein.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-3">
<title>Clinical Outcomes in the Original and the Matched Cohorts</title>
<sec id="s3-3-1">
<title>Patient and Graft Survival</title>
<p>In the original cohort (n &#x3d; 194), Kaplan&#x2013;Meier analysis demonstrated no significant difference in patient survival between the SRSL and LRVL groups (p &#x3d; 0.92; <xref ref-type="fig" rid="F2">Figure 2A</xref>). Similarly, graft failure&#x2013;free survival did not differ significantly (p &#x3d; 0.77; <xref ref-type="fig" rid="F2">Figure 2B</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Kaplan&#x2013;Meier survival curves for the overall cohort showing <bold>(A)</bold> patient survival and <bold>(B)</bold> graft survival. No significant differences were observed between the splenorenal shunt ligation (SRSL) and left renal vein ligation (LRVL) groups (p &#x3d; 0.92 and 0.77, respectively).</p>
</caption>
<graphic xlink:href="ti-39-16021-g002.tif">
<alt-text content-type="machine-generated">Kaplan -Meier survival curves for the overall (original) cohort comparing SRSL (blue) and LRVL (red) groups over ten years after transplantation. Panel A shows overall patient survival probability with a p-value of 0.92 and numbers at risk displayed below the x-axis. Panel B presents graft failure -free survival probability with a p-value of 0.77 and corresponding risk numbers. The curves demonstrate no significant difference in patient or graft survival between the two groups in the unmatched cohort.</alt-text>
</graphic>
</fig>
<p>The findings were consistent with those from the propensity-matched cohort (n &#x3d; 116). Neither patient survival (p &#x3d; 0.64) nor graft survival (p &#x3d; 0.52) showed intergroup differences (<xref ref-type="fig" rid="F3">Figures 3A,B</xref>). These results indicate that both SRS interruption techniques offer comparable long-term survival outcomes.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Kaplan&#x2013;Meier survival curves for the propensity score&#x2013;matched cohort showing <bold>(A)</bold> patient survival and <bold>(B)</bold> graft survival. No significant differences were observed between the splenorenal shunt ligation (SRSL) and left renal vein ligation (LRVL) groups (p &#x3d; 0.64 and 0.52, respectively).</p>
</caption>
<graphic xlink:href="ti-39-16021-g003.tif">
<alt-text content-type="machine-generated">Kaplan -Meier survival curves for the propensity score -matched cohort comparing SRSL (blue) and LRVL (red) groups over ten years post-transplant. Panel A illustrates overall patient survival probability with a p-value of 0.64. Panel B shows graft failure -free survival probability with a p-value of 0.52. Tables below each graph display the number of patients at risk at regular time intervals. No significant survival differences are observed between the two groups after matching.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-3-2">
<title>Post-Transplant Dialysis Requirement</title>
<p>In the original cohort, four patients required chronic dialysis within the 10-year follow-up period, with all cases occurring in the LRVL group (4/74, 5.4%). Notably, each of these patients developed end-stage renal failure during the late postoperative period, between 5 and 10 years after transplantation. This pattern was consistent with that observed in the propensity score&#x2013;matched cohort, in which all three cases requiring dialysis were likewise confined to the LRVL group, with none observed in the SRSL group.</p>
<p>Beyond the initial 10-year follow-up period, two additional patients in the LRVL group subsequently initiated dialysis at 11 and 14 years after transplantation, respectively (see <xref ref-type="table" rid="T3">Table 3</xref>). This suggests that the cumulative number of patients requiring dialysis is likely to increase further with a longer follow-up period. Taken together, these findings indicate that LRVL may be associated with a late-onset decline in renal function, underscoring the need for long-term renal surveillance in this population.</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Clinical characteristics of patients who progressed to dialysis after modulation of preoperative splenorenal shunt.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Patient No.</th>
<th align="center">SRS Modulation</th>
<th align="center">Sex</th>
<th align="center">Etiology</th>
<th align="center">Age (yr)</th>
<th align="center">GRWR</th>
<th align="center">MELD</th>
<th align="center">Intraoperative RBC Transfusion (Units)</th>
<th align="center">Pre-op Cr (mg/dL)</th>
<th align="center">DM</th>
<th align="center">HTN</th>
<th align="center">Time to Dialysis (months)</th>
<th align="center">Survival Status</th>
<th align="center">Remarks</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">1</td>
<td align="left">LRVL</td>
<td align="left">M</td>
<td align="left">HBV</td>
<td align="center">44</td>
<td align="center">1.05</td>
<td align="center">14</td>
<td align="center">16</td>
<td align="center">0.8</td>
<td align="left">Yes</td>
<td align="left">No</td>
<td align="center">83</td>
<td align="left">Alive</td>
<td align="left">&#x2014;</td>
</tr>
<tr>
<td align="left">2</td>
<td align="left">LRVL</td>
<td align="left">M</td>
<td align="left">HBV</td>
<td align="center">47</td>
<td align="center">0.93</td>
<td align="center">9</td>
<td align="center">1</td>
<td align="center">0.6</td>
<td align="left">Yes</td>
<td align="left">No</td>
<td align="center">115</td>
<td align="left">Alive</td>
<td align="left">&#x2014;</td>
</tr>
<tr>
<td align="left">3</td>
<td align="left">LRVL</td>
<td align="left">M</td>
<td align="left">HBV</td>
<td align="center">47</td>
<td align="center">1.08</td>
<td align="center">24</td>
<td align="center">80</td>
<td align="center">0.7</td>
<td align="left">No</td>
<td align="left">No</td>
<td align="center">95</td>
<td align="left">Dead</td>
<td align="left">Death due to pneumonia</td>
</tr>
<tr>
<td align="left">4</td>
<td align="left">LRVL</td>
<td align="left">M</td>
<td align="left">HBV</td>
<td align="center">52</td>
<td align="center">1.50</td>
<td align="center">22</td>
<td align="center">33</td>
<td align="center">0.8</td>
<td align="left">Yes</td>
<td align="left">Yes</td>
<td align="center">167</td>
<td align="left">Alive</td>
<td align="left">Dialysis initiated beyond 10-year follow-up</td>
</tr>
<tr>
<td align="left">5</td>
<td align="left">LRVL</td>
<td align="left">M</td>
<td align="left">HCV</td>
<td align="center">41</td>
<td align="center">0.94</td>
<td align="center">21</td>
<td align="center">59</td>
<td align="center">0.6</td>
<td align="left">No</td>
<td align="left">No</td>
<td align="center">95</td>
<td align="left">Dead</td>
<td align="left">Death due to post-retransplant bleeding</td>
</tr>
<tr>
<td align="left">6</td>
<td align="left">LRVL</td>
<td align="left">M</td>
<td align="left">HBV</td>
<td align="center">47</td>
<td align="center">1.38</td>
<td align="center">31</td>
<td align="center">15</td>
<td align="center">0.6</td>
<td align="left">Yes</td>
<td align="left">Yes</td>
<td align="center">137</td>
<td align="left">Alive</td>
<td align="left">Dialysis initiated beyond 10-year follow-up</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>LRVL, left renal vein ligation; HBV, hepatitis B virus; HCV, hepatitis C virus; GRWR, graft-to-recipient weight ratio; MELD, Model for End-Stage Liver Disease; RBC, red blood cell; Cr, creatinine; DM, diabetes mellitus; HTN, hypertension; SRS, splenorenal shunt.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-3-3">
<title>Shunt Recanalization</title>
<p>Clinically significant shunt recanalization occurred only in the SRSL group (2/120, 1.7%). One case was detected at 1 month and the other at 10 years post-transplantation. Both were managed successfully using plug-assisted retrograde transvenous obliteration, with preserved graft function and stable renal parameters during subsequent follow-up. No recanalization events were identified in the LRVL group.</p>
</sec>
</sec>
<sec id="s3-4">
<title>Long-Term Renal Function Analysis</title>
<sec id="s3-4-1">
<title>Temporal Trends in Serum Creatinine</title>
<p>Serum creatinine was analyzed at seven time points: After 1 week, 1 month, 6 months, 1 year, 3 years, 5 years, and 10 years. Both groups maintained generally stable renal function, with mean creatinine values near 1.2&#xa0;mg/dL across the 10-year follow-up period (<xref ref-type="fig" rid="F4">Figures 4A,B</xref>). However, the LRVL group demonstrated consistently higher mean creatinine levels at most time points. At year 10, mean creatinine was 1.11 &#xb1; 0.26&#xa0;mg/dL in the SRSL group and 1.33 &#xb1; 1.57&#xa0;mg/dL in the LRVL group. The large standard deviation in the LRVL group resulted from occasional extreme elevations, including one outlier with creatinine levels as high as 12.0&#xa0;mg/dL.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Longitudinal changes in serum creatinine after living donor liver transplantation. <bold>(A)</bold> Longitudinal creatinine profile by group. Mean serum creatinine levels with standard deviations after 1 week, 1 month, 6 months, 1 year, 3 years, 5 years, and 10 years are shown. The left renal vein ligation (LRVL) group (blue) demonstrated consistently higher creatinine values compared to the splenorenal shunt ligation (SRSL) group (red) across most time points. <bold>(B)</bold> Longitudinal trends for creatinine levels in each group. Creatinine trajectories during the same follow-up interval illustrate overall trends in both groups. The LRVL group exhibited a wider range of variability and relatively higher creatinine levels during long-term follow-up, with greater divergence observed at later time points.</p>
</caption>
<graphic xlink:href="ti-39-16021-g004.tif">
<alt-text content-type="machine-generated">Panel A is a line graph showing longitudinal serum creatinine levels by group after transplant, with SRSL in red and LRVL in blue, demonstrating higher creatinine in the LRVL group over time. Panel B presents a similar trend, with longitudinal creatinine trajectories plotted by group, again illustrating consistently higher values in the LRVL group compared to SRSL, with error bars indicating variability at each time point.</alt-text>
</graphic>
</fig>
<p>Overall, renal function remained stable in most patients, but the LRVL group exhibited a broader range of creatinine variability that included occasional extreme elevations along with a gradual upward trend during long-term follow-up.</p>
</sec>
<sec id="s3-4-2">
<title>Fixed-Effects Modeling</title>
<p>To characterize temporal patterns, the follow-up period was divided into an early (0&#x2013;6 months), an intermediate (1&#x2013;5 years), and a late (5&#x2013;10 years) phase. Overall, serum creatinine increased significantly with time (estimate &#x2b;0.25, p &#x3d; 0.018).</p>
<p>Phase-specific changes revealed that baseline creatinine at the start of the intermediate phase was significantly higher than in the early phase (estimate &#x2b;0.153, p &#x3d; 0.032), although the subsequent rate of increase slowed down (Time &#xd7; Phase 1&#x2013;5 years: &#x2212;0.283, p &#x3d; 0.010). A similar pattern was observed in the late phase (&#x2212;0.216, p &#x3d; 0.043).</p>
<p>LRVL group assignment was not independently associated with a statistically significant elevation in creatinine (estimate &#x2b;0.092, p &#x3d; 0.185). Nonetheless, the LRVL group showed a consistent longitudinal trend toward higher creatinine values, although this did not reach statistical significance (<xref ref-type="table" rid="T4">Table 4</xref>).</p>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Fixed-effects analysis of serum creatinine changes over time and by subgroup (SRSL vs. LRVL).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Term</th>
<th align="center">Estimate</th>
<th align="center">Std. Error</th>
<th align="center">df</th>
<th align="center">t value</th>
<th align="center">p-value</th>
<th align="center">Interpretation</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Intercept</td>
<td align="center">1.000</td>
<td align="center">0.056</td>
<td align="center">182.88</td>
<td align="center">17.97</td>
<td align="center">&#x3c;0.001</td>
<td align="left">Baseline Cr at time 0 in the reference phase</td>
</tr>
<tr>
<td align="left">Time (per year)</td>
<td align="center">0.250</td>
<td align="center">0.106</td>
<td align="center">644.87</td>
<td align="center">2.37</td>
<td align="center">0.018</td>
<td align="left">Cr increases over time in reference phase</td>
</tr>
<tr>
<td align="left">Phase: Year 1&#x2013;5</td>
<td align="center">0.153</td>
<td align="center">0.071</td>
<td align="center">644.17</td>
<td align="center">2.16</td>
<td align="center">0.032</td>
<td align="left">Higher baseline Cr between intermediate phase vs. early phase</td>
</tr>
<tr>
<td align="left">Phase: Year &#x2265;5</td>
<td align="center">&#x2212;0.151</td>
<td align="center">0.098</td>
<td align="center">643.20</td>
<td align="center">&#x2212;1.54</td>
<td align="center">0.123</td>
<td align="left">Lower baseline Cr in 5&#x2b; years phase (not significant)</td>
</tr>
<tr>
<td align="left">Group (LRVL vs. SRSL)</td>
<td align="center">0.092</td>
<td align="center">0.069</td>
<td align="center">110.37</td>
<td align="center">1.33</td>
<td align="center">0.185</td>
<td align="left">Slightly higher Cr in LRVL group (not significant)</td>
</tr>
<tr>
<td align="left">Time &#xd7; phase (Year 1&#x2013;5)</td>
<td align="center">&#x2212;0.283</td>
<td align="center">0.110</td>
<td align="center">644.61</td>
<td align="center">&#x2212;2.58</td>
<td align="center">0.010</td>
<td align="left">Cr rises slower over time between 1 and 5 years</td>
</tr>
<tr>
<td align="left">Time &#xd7; phase (Year &#x2265;5)</td>
<td align="center">&#x2212;0.216</td>
<td align="center">0.106</td>
<td align="center">644.82</td>
<td align="center">&#x2212;2.03</td>
<td align="center">0.043</td>
<td align="left">Slower Cr increase in late phase</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Cr, serum creatinine; SRSL, splenorenal shunt ligation; LRVL, left renal vein ligation; y, year; df, degrees of freedom; Std., standard.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-4-3">
<title>Linear Mixed-Effects Model for Changes in Creatinine</title>
<p>Changes in creatinine (&#x394;Cr) were compared across the three defined phases. Although intergroup differences were not statistically significant in any of the phases, the pattern for each of the phases differed (<xref ref-type="table" rid="T5">Table 5</xref>): During the early phase, the value for the SRSL group was &#x2b;0.098&#xa0;mg/dL and that for the LRVL group was &#x2b;0.147&#xa0;mg/dL. The increase in the LRVL group approached significance (95% CI: &#x2212;0.011 to &#x2b;0.306). During the intermediate phase, both groups showed mild declines (SRSL: &#x2212;0.080&#xa0;mg/dL; LRVL: &#x2212;0.125&#xa0;mg/dL). Finally, only the LRVL group demonstrated a significant increase in the late phase (&#x2b;0.246&#xa0;mg/dL; 95% CI: &#x2b;0.082 to &#x2b;0.411, p &#x3c; 0.05), whereas the SRSL group did not (&#x2b;0.087&#xa0;mg/dL, NS).</p>
<table-wrap id="T5" position="float">
<label>TABLE 5</label>
<caption>
<p>Estimated change in serum creatinine level (&#x394;Cr) across follow-up intervals according to group (SRSL vs. LRVL).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Phase</th>
<th align="left">Group</th>
<th align="center">Estimated &#x394;Cr (mg/dL)</th>
<th align="center">Std. Error</th>
<th align="center">95% CI</th>
<th align="center">Interpretation</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="2" align="left">Early<break/>0 &#x2192; 1 year</td>
<td align="left">SRSL</td>
<td align="center">0.0983</td>
<td align="center">0.0827</td>
<td align="center">[&#x2212;0.0645, &#x2b;0.2611]</td>
<td align="left">Slight increase (not significant)</td>
</tr>
<tr>
<td align="left">LRVL</td>
<td align="center">0.1473</td>
<td align="center">0.0805</td>
<td align="center">[&#x2212;0.0111, &#x2b;0.3057]</td>
<td align="left">Slight increase, marginally close to significance</td>
</tr>
<tr>
<td rowspan="2" align="left">Intermediate<break/>1 &#x2192; 5 years</td>
<td align="left">SRSL</td>
<td align="center">&#x2212;0.0800</td>
<td align="center">0.0844</td>
<td align="center">[&#x2212;0.2460, &#x2b;0.0860]</td>
<td align="left">Mild decrease (not significant)</td>
</tr>
<tr>
<td align="left">LRVL</td>
<td align="center">&#x2212;0.1250</td>
<td align="center">0.0828</td>
<td align="center">[&#x2212;0.2878, &#x2b;0.0379]</td>
<td align="left">Slightly larger decrease, not significant</td>
</tr>
<tr>
<td rowspan="2" align="left">Late<break/>5 &#x2192; 10 years</td>
<td align="left">SRSL</td>
<td align="center">0.0865</td>
<td align="center">0.0870</td>
<td align="center">[&#x2212;0.0847, &#x2b;0.2576]</td>
<td align="left">Small increase (not significant)</td>
</tr>
<tr>
<td align="left">LRVL</td>
<td align="center">0.2463</td>
<td align="center">0.0836</td>
<td align="center">[&#x2b;0.0819, &#x2b;0.4108]</td>
<td align="left">Significant increase</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Cr, serum creatinine; SRSL, splenorenal shunt ligation; LRVL, left renal vein ligation; CI, confidence interval; Std., standard; &#x394;Cr, change in serum creatinine.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Despite the absence of statistically significant intergroup interactions, the pronounced late-phase increase in the LRVL group suggests a trend toward accumulating renal burden during extended follow-up.</p>
</sec>
</sec>
<sec id="s3-5">
<title>Longitudinal Trends in Tacrolimus Trough Levels</title>
<p>Tacrolimus trough levels decreased steadily over time in both groups, reflecting routine clinical tapering practices.</p>
<sec id="s3-5-1">
<title>Overall Trends in Tacrolimus Trough Levels Over Time</title>
<p>The LRVL group generally exhibited slightly lower tacrolimus levels than the SRSL group at all time points, with the most noticeable difference occurring during the early postoperative period (<xref ref-type="fig" rid="F5">Figure 5</xref>).</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Longitudinal changes in tacrolimus levels in blood after transplantation. Tacrolimus levels were analyzed at seven fixed time points: at 1 week, 1 month, 6 months and 1, 3, 5, and 10 years. The left renal vein ligation (LRVL) group showed a more rapid decline in tacrolimus levels during the early phase compared to the splenorenal shunt ligation (SRSL) group, followed by a similar tapering pattern of immunosuppression in both groups. The early decrease in tacrolimus levels is presumed to be due to a rise in serum creatinine during the immediate postoperative period.</p>
</caption>
<graphic xlink:href="ti-39-16021-g005.tif">
<alt-text content-type="machine-generated">Line chart showing longitudinal tacrolimus levels in nanograms per milliliter for two groups, SRSL in red and LRVL in blue, across intervals up to ten years after transplant, with both groups showing a decreasing trend and SRSL generally higher than LRVL. Error bars are included for each data point.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3-5-2">
<title>Phase-specific Modeling</title>
<p>The fixed-effects model showed that tacrolimus levels declined rapidly in the early phase (p &#x3c; 0.001), with a significantly faster rate of decrease in the LRVL group (interaction estimate: &#x2212;4.820, p &#x3d; 0.004). Levels continued to decrease during the intermediate phase (p &#x3c; 0.001), but group differences were no longer significant. A mild further decline was observed in both groups during the late phase (p &#x3c; 0.001), with no intergroup differences. These findings suggest that early tacrolimus tapering may have been more aggressive in the LRVL group, possibly reflecting concerns for renal function by the attending clinicians, while tapering strategies later converged for both groups. Overall, despite a tendency toward earlier tacrolimus tapering in the LRVL group, these patients demonstrated a more pronounced long-term decline in renal function, reflected by progressively higher creatinine levels and the exclusive occurrence of renal failure requiring dialysis treatment within this group during the late phase of the follow-up period (<xref ref-type="table" rid="T6">Table 6</xref>).</p>
<table-wrap id="T6" position="float">
<label>TABLE 6</label>
<caption>
<p>Changes in tacrolimus trough levels over time by phase and group.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Phase</th>
<th align="center">Variable</th>
<th align="center">Estimate</th>
<th align="center">Std. Error</th>
<th align="center">p-value</th>
<th align="center">Interpretation</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="4" align="left">Early<break/>0 &#x2192; 1 year</td>
<td align="left">Intercept</td>
<td align="center">9.875</td>
<td align="center">0.395</td>
<td align="center">&#x3c;0.001</td>
<td align="left">FK level at time &#x3d; SRSL group is higher</td>
</tr>
<tr>
<td align="left">Time_year</td>
<td align="center">&#x2212;4.709</td>
<td align="center">1.196</td>
<td align="center">0.000</td>
<td align="left">FK level significantly declines over time</td>
</tr>
<tr>
<td align="left">Group (LRVL vs. SRSL)</td>
<td align="center">0.481</td>
<td align="center">0.558</td>
<td align="center">0.390</td>
<td align="left">LRVL group shows slightly higher FK level (not significant)</td>
</tr>
<tr>
<td align="left">Time &#xd7; group</td>
<td align="center">&#x2212;4.820</td>
<td align="center">1.691</td>
<td align="center">0.004</td>
<td align="left">FK level in LRVL group declines faster than in SRSL group</td>
</tr>
<tr>
<td rowspan="4" align="left">Intermediate<break/>1 &#x2192; 5 years</td>
<td align="left">Intercept</td>
<td align="center">7.411</td>
<td align="center">0.512</td>
<td align="center">&#x3c;0.001</td>
<td align="left">FK level starts lower than in early phase</td>
</tr>
<tr>
<td align="left">Time_year</td>
<td align="center">&#x2212;0.832</td>
<td align="center">0.204</td>
<td align="center">0.000</td>
<td align="left">FK level continues to decrease over time</td>
</tr>
<tr>
<td align="left">Group (LRVL vs. SRSL)</td>
<td align="center">&#x2212;0.915</td>
<td align="center">0.714</td>
<td align="center">0.202</td>
<td align="left">LRVL group shows slightly lower FK baseline level (not significant)</td>
</tr>
<tr>
<td align="left">Time &#xd7; group</td>
<td align="center">0.069</td>
<td align="center">0.284</td>
<td align="center">0.807</td>
<td align="left">No significant group difference in slope</td>
</tr>
<tr>
<td rowspan="4" align="left">Late<break/>5 &#x2192; 10 years</td>
<td align="left">Intercept</td>
<td align="center">5.501</td>
<td align="center">0.468</td>
<td align="center">&#x3c;0.001</td>
<td align="left">FK level further reduced</td>
</tr>
<tr>
<td align="left">Time_year</td>
<td align="center">&#x2212;0.291</td>
<td align="center">0.055</td>
<td align="center">&#x3c;0.001</td>
<td align="left">Decline continues at a slower rate</td>
</tr>
<tr>
<td align="left">Group (LRVL vs. SRSL)</td>
<td align="center">&#x2212;0.055</td>
<td align="center">0.654</td>
<td align="center">0.933</td>
<td align="left">No baseline difference between groups</td>
</tr>
<tr>
<td align="left">Time &#xd7; group</td>
<td align="center">&#x2212;0.016</td>
<td align="center">0.077</td>
<td align="center">0.839</td>
<td align="left">No group difference in slope (not significant)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>FK, level, Tacrolimus trough level (FK506); SRSL, splenorenal shunt ligation; LRVL, left renal vein ligation; NS, not significant.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>Effective management of large spontaneous SRSs during LDLT is essential to ensure adequate portal inflow and prevent portal steal syndrome. Two intraoperative techniques are currently employed for this purpose: SRSL, which anatomically targets the shunt itself, and LRVL, which functionally interrupts shunt outflow by occluding the LRV. SRSL provides anatomically precise control but can be technically demanding in patients with dense adhesions or distorted venous anatomy. In contrast, LRVL is less technically challenging and is often preferred in hemodynamically unstable or surgically complex cases [<xref ref-type="bibr" rid="B1">1</xref>&#x2013;<xref ref-type="bibr" rid="B3">3</xref>].</p>
<p>In this study, both techniques were effective in preventing portal steal and maintaining adequate graft perfusion. Patient and graft survival, re-transplantation rates, and shunt recanalization were comparable between groups, supporting LRVL as a feasible and effective alternative when direct shunt ligation is difficult or deemed unsafe.</p>
<p>Nevertheless, concerns remain regarding the potential long-term renal consequences of LRVL. Because the LRV is the primary venous drainage route of the left kidney, its ligation may predispose patients to impaired renal perfusion and progressive renal dysfunction, particularly in LDLT recipients who require lifelong exposure to nephrotoxic immunosuppressants such as tacrolimus. Although previous nontransplant studies have suggested minimal long-term renal impact after LRV ligation, these findings may not be fully applicable to liver transplant recipients under chronic immunosuppression. Beyond simple mechanical obstruction of venous outflow, progressive renal dysfunction after LRVL may involve multiple pathophysiological mechanisms, including microvascular injury, altered renal autoregulation, and synergistic nephrotoxicity associated with prolonged calcineurin inhibitor exposure. These mechanisms may partly explain the greater variability in creatinine levels and the exclusive occurrence of dialysis in the LRVL group during long-term follow-up.</p>
<p>To evaluate renal outcomes more rigorously, we performed 1:1 propensity score matching using the baseline values for relevant variables. After matching, long-term tacrolimus exposure was comparable between the groups, although the LRVL group demonstrated a tendency toward earlier tacrolimus tapering during the early postoperative period, likely reflecting concerns by the clinicians about renal function. Despite this early tapering, the LRVL group exhibited a sustained trend toward higher serum creatinine throughout follow-up, and all cases of renal failure requiring dialysis occurred exclusively in the LRVL groups between 5 and 10 years post-transplant. Although not definitive, these findings raise the possibility that LRVL may be associated with a subtle but progressive long-term renal burden.</p>
<p>These observations align with prior experience at our institution. In an early report, Lee et al. found no short-term deterioration in renal function, proteinuria, or hematuria following LRVL [<xref ref-type="bibr" rid="B4">4</xref>]. However, a 20-year follow-up study by Hwang et al. in the same patient cohort revealed that 9.1% of them eventually required dialysis, and more than half experienced a decline in the estimated glomerular filtration rate [<xref ref-type="bibr" rid="B12">12</xref>]. Although underlying comorbidities such as diabetes or glomerulonephritis likely contributed to this outcome, chronic venous congestion from LRV ligation may also have played a role in the progressive renal decline. These longer-term findings underscore the importance of careful patient selection and appropriate renal monitoring following LRVL.</p>
<p>Our study provides follow-up data up to 10 years after transplantation. While no statistically significant differences in renal failure were observed during this interval, the trends in creatinine elevation and the exclusive occurrence of cases requiring dialysis in the LRVL group suggest that more pronounced differences may emerge with a more extended follow-up, as suggested by the long-term data reported by a Hwang et al. [<xref ref-type="bibr" rid="B12">12</xref>] This highlights the need for continued surveillance and emphasizes the importance of choosing surgical strategies that minimize long-term renal risk.</p>
<p>In this context, the potential advantages of SRSL warrant renewed attention. SRSL preserves physiological renal venous drainage and avoids direct compromise of kidney perfusion. Although it may be technically challenging, particularly in the presence of dense adhesions, it provides targeted shunt interruption while minimizing collateral vessel injury. By avoiding alterations in systemic venous return, SRSL may offer the advantage of sparing the kidney, which is particularly important in patients with pre-existing renal risk factors.</p>
<p>At our institution, SRSL has consistently provided reliable portal decompression and stable long-term renal outcomes. Given the rising prevalence of chronic kidney disease after liver transplantation and the widespread use of tacrolimus, SRSL may represent the preferred SRS management strategy when anatomically feasible. Surgical planning should incorporate both anatomical considerations and long-term organ protection, particularly in recipients predisposed to renal dysfunction.</p>
<p>This study has several strengths, including a relatively large cohort of LDLT recipients with large SRS, long-term follow-up of up to 10 years, and rigorous propensity score matching to minimize selection bias. In addition, standardized immunosuppressive protocols and objective renal biomarkers further strengthened the validity of the comparative analyses. However, several limitations should be acknowledged. This was a retrospective single-center study, which limits generalizability, and residual confounding cannot be completely excluded. Procedural selection was influenced by intraoperative assessment, surgeon preference, and individual judgment, introducing potential selection bias. Although we attempted to mitigate this by using MELD score and RBC transfusion as surrogate markers in the propensity score model, unmeasured surgeon-related factors may still have contributed to residual confounding. Furthermore, technical difficulty in determining the ligation strategy was difficult to quantify objectively, and renal function was primarily assessed using only serum creatinine. and the limited number of patients requiring dialysis reduced the statistical power for detecting differences in rare outcomes. Another limitation is that detailed graft function parameters, including rejection and longitudinal liver function tests, were not systematically analyzed. Therefore, subtle differences in graft function between groups may not have been fully captured. These strengths and limitations should be considered when interpreting our findings, and further prospective multicenter studies are warranted to validate our results.</p>
<p>In conclusion, both SRSL and LRVL are effective strategies for managing SRS during LDLT. Although survival outcomes were comparable, LRVL may be associated with potential long-term renal risks, even when early tacrolimus tapering is implemented. When anatomically feasible, SRSL may be considered, whereas LRVL remains an important alternative in technically challenging or hemodynamically unstable cases. In patients requiring LRVL, strategies aimed at renal protection, including careful titration of nephrotoxic immunosuppressants, should be implemented, and long-term renal function should be closely monitored. Further prospective multicenter studies with extended follow-up are warranted to validate these findings and guide optimal surgical decision-making in the management of SRS during liver transplantation.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s5">
<title>Data Availability Statement</title>
<p>The data analyzed in this study is subject to the following licenses/restrictions: The dataset analyzed during this study contains sensitive patient medical information obtained from a single tertiary transplant center. Due to institutional and ethical restrictions, the raw data cannot be made publicly available. Access to the dataset may be granted upon reasonable request to the corresponding author and subject to approval by the Institutional Review Board and data-sharing agreements in compliance with patient privacy protection regulations. Requests to access these datasets should be directed to <email>romikwh@gmail.com</email>.</p>
</sec>
<sec sec-type="ethics-statement" id="s6">
<title>Ethics Statement</title>
<p>The studies involving humans were approved by Institutional Review Board of Asan Medical Center (IRB No. AMC 2022-0763). 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 in accordance with the national legislation and institutional requirements.</p>
</sec>
<sec sec-type="author-contributions" id="s7">
<title>Author Contributions</title>
<p>WHK contributed to study design, transplantation surgeries, data collection, statistical analysis, and drafting of the manuscript as the first author. DBM contributed to study design, performed transplantation surgeries, supervised clinical management, critically revised the manuscript, and served as the corresponding author with final responsibility for the research. SH, CSA, KHK, DHJ, TYH, GWS, GCP, SGL, YIY, BGN, SHK, and SMK performed or assisted in transplantation surgeries, provided operative expertise, contributed to perioperative clinical decision-making, and participated in data acquisition. 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 author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="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>Assistance with the study: The authors gratefully acknowledge Professor Seunghee Baek, PhD from the Department of Medical Statistics, Asan Medical Center, University of Ulsan College of Medicine, for her expert advice in the conduction of statistical analyses, which greatly contributed to the completion of this study.</p>
</ack>
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<fn-group>
<fn fn-type="abbr" id="abbrev1">
<label>Abbreviations:</label>
<p>MELD, Model for End-Stage Liver Disease; LDLT, living donor liver transplantation; LRVL, left renal vein ligation; LRV, left renal vein; SRS, splenorenal shunt; SRSL, splenorenal shunt ligation.</p>
</fn>
</fn-group>
</back>
</article>