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BACKGROUND: The impact of transjugular intrahepatic portosystemic shunt (TIPS) on waitlist mortality and liver transplantation (LT) urgency in Budd-Chiari Syndrome (BCS) patients remains unclear. METHOD: We analyzed BCS patients listed for LT in the UNOS database(2002-2024) to assess TIPS's impact on waitlist mortality and LT access via competing-risk analysis. We compared trends across two phases:Phase1(2002-2011) and Phase2(2012-2024). RESULTS: Of 815 BCS patients, 263(32.3%) received TIPS at listing. TIPS group had lower MELD-Na scores(20vs22,p<0.01), milder ascites(p=0.01), and fewer Status1 patients(those at risk of imminent death while awaiting LT)(2.7%vs8.3%,p<0.01) at listing compared to those without TIPS. TIPS patients had lower LT rates(43.3%vs56.5%,p<0.01) and longer waitlist times(350vs113 d,p<0.01). TIPS use increased in Phase2(64.3%vs35.7%,p<0.01). Of 426 transplanted patients, 134(31.5%) received TIPS, showing lower MELD-Na scores(24vs27,p<0.01) and better medical conditions(Intensive care unit:14.9%vs21.9%,p<0.01) at LT. Status1 patients were fewer (3.7%vs12.3%,p<0.01), with longer waiting days(97vs26 d,p<0.01) in TIPS group. TIPS use at listing increased from Phase1(25.6%) to Phase2(37.7%). From Phase1 to Phase2, ascites severity improved, re-LT cases decreased(Phase1:9.8%vsPhase2:2.2%,p<0.01), and cold ischemic time slightly decreased(Phase1:7.0vsPhase2:6.4 hours,p=0.14). Median donor body mass index significantly increased. No significant differences were identified in patient/graft survival at 1-/5-/10-year intervals between phases or TIPS/non-TIPS patients. While 90-day waitlist mortality showed no significant difference(p=0.11), TIPS trended towards lower mortality(subHazard ratio[sHR]:0.70[0.45-1.08]). Multivariable analysis indicated that TIPS was a significant factor in decreasing mortality(sHR:0.45[0.27-0.77],p<0.01). TIPS group also showed significantly lower LT access(sHR:0.65[0.53-0.81],p<0.01). Multivariable analysis showed that TIPS was a significant factor in decreasing access to LT(sHR:0.60[0.46-0.77],p<0.01). Sub-group analysis excluding Status1 or HCC showed similar trends. CONCLUSION: TIPS in BCS patients listed for LT reduces waitlist mortality and LT access, supporting its bridging role.
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AIM: Liver fibrosis, heralding the potential progression to cirrhosis and hepatocellular carcinoma (HCC), compromises patient survival and augments post-hepatectomy recurrence. This study examined the detrimental effects of liver fibrosis on the antitumor functions of liver natural killer (NK) cells and the interleukin-33 (IL-33) signaling pathway. METHODS: Our investigation, anchored in both human physiologies using living and deceased donor livers and the carbon tetrachloride (CCl4)-induced mouse fibrosis model, aimed to show a troubling interface between liver fibrosis and weakened hepatic immunity. RESULTS: The Fibrosis-4 (FIB-4) index emerged as a salient, non-invasive prognostic marker, and its elevation correlated with reduced survival and heightened recurrence after HCC surgery even after propensity matching (n = 385). We established a strong correlation between liver fibrosis and liver NK cell dysfunction by developing a method for extracting liver NK cells from the liver graft perfusate. Furthermore, liver fibrosis ostensibly disrupted chemokines and promoted IL-33 expression, impeding liver NK cell antitumor activities, as evidenced in mouse models. Intriguingly, our results implicated IL-33 in diminishing the antitumor responses of NK cells. This interrelation, consistent across both mouse and human studies, coincides with clinical data suggesting that liver fibrosis predisposes patients to an increased risk of HCC recurrence. CONCLUSION: Our study revealed a critical relationship between liver fibrosis and compromised tumor immunity, emphasizing the potential interference of IL-33 with NK cell function. These insights advocate for advanced immunostimulatory therapies targeting cytokines, such as IL-33, aiming to bolster the hepatic immune response against HCC in the context of liver fibrosis.
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BACKGROUND: Introducing new liver transplantation (LT) practices, like unconventional donor use, incurs higher costs, making evaluation of their prognostic justification crucial. This study reexamines the spread pattern of new LT practices and its prognosis across the United States. METHODS: The study investigated the spread pattern of new practices using the UNOS database (2014-2023). Practices included LT for hepatitis B/C (HBV/HCV) nonviremic recipients with viremic donors, LT for COVID-19-positive recipients, and LT using onsite machine perfusion (OMP). One year post-LT patient and graft survival were also evaluated. RESULTS: LTs using HBV/HCV donors were common in the East, while LTs for COVID-19 recipients and those using OMP started predominantly in California, Arizona, Texas, and the Northeast. K-means cluster analysis identified three adoption groups: facilities with rapid, slow, and minimal adoption rates. Rapid adoption occurred mainly in high-volume centers, followed by a gradual increase in middle-volume centers, with little increase in low-volume centers. The current spread patterns did not significantly affect patient survival. Specifically, for LTs with HCV donors or COVID-19 recipients, patient and graft survivals in the rapid-increasing group was comparable to others. In LTs involving OMP, the rapid- or slow-increasing groups tended to have better patient survival (p = 0.05) and significantly improved graft survival rates (p = 0.02). Facilities adopting new practices often overlap across different practices. DISCUSSION: Our analysis revealed three distinct adoption groups across all practices, correlating the adoption aggressiveness with LT volume in centers. Aggressive adoption of new practices did not compromise patient and graft survivals, supporting the current strategy. Understanding historical trends could predict the rise in future LT cases with new practices, aiding in resource distribution.
Subject(s)
COVID-19 , Graft Survival , Liver Transplantation , SARS-CoV-2 , Humans , Liver Transplantation/statistics & numerical data , United States/epidemiology , COVID-19/epidemiology , Female , Male , Middle Aged , Tissue and Organ Procurement/statistics & numerical data , Tissue Donors/supply & distribution , Tissue Donors/statistics & numerical data , Adult , Survival Rate , Prognosis , Practice Patterns, Physicians'/statistics & numerical dataABSTRACT
BACKGROUND: This study compares selection criteria for liver transplant (LT) for hepatocellular carcinoma (HCC) for inclusivity and predictive ability to identify the most permissive criteria that maintain patient outcomes. METHODS: The Scientific Registry of Transplant Recipients (SRTR) database was queried for deceased donor LT's for HCC (2003-2020) with 3-y follow-up; these data were compared with a 2-center experience. Milan, University of California, San Francisco (UCSF), 5-5-500, Up-to-seven (U7), HALT-HCC, and Metroticket 2.0 scores were calculated. RESULTS: Nationally, 26 409 patients were included, and 547 at the 2 institutions. Median SRTR-follow-up was 6.8 y (interquartile range 3.9-10.1). Three criteria allowed the expansion of candidacy versus Milan: UCSF (7.7%, n = 1898), Metroticket 2.0 (4.2%, n = 1037), and U7 (3.5%, n = 828). The absolute difference in 3-y overall survival (OS) between scores was 1.5%. HALT-HCC (area under the curve [AUC] = 0.559, 0.551-0.567) best predicted 3-y OS although AUC was notably similar between criteria (0.506 < AUC < 0.527, Mila n = 0.513, UCSF = 0.506, 5-5-500 = 0.522, U7 = 0.511, HALT-HCC = 0.559, and Metroticket 2.0 = 0.520), as was Harrall's c-statistic (0.507 < c-statistic < 0.532). All scores predicted survival to P < 0.001 on competing risk analysis. Median follow-up in our enterprise was 9.8 y (interquartile range 7.1-13.3). U7 (13.0%, n = 58), UCSF (11.1%, n = 50), HALT-HCC (6.4%, n = 29), and Metroticket 2.0 (6.3%, n = 28) allowed candidate expansion. HALT-HCC (AUC = 0.768, 0.713-0.823) and Metroticket 2.0 (AUC = 0.739, 0.677-0.801) were the most predictive of recurrence. All scores predicted recurrence and survival to P < 0.001 using competing risk analysis. CONCLUSIONS: Less restrictive criteria such as Metroticket 2.0, UCSF, or U7 allow broader application of transplants for HCC without sacrificing outcomes. Thus, the criteria for Model for End-stage Liver Disease-exception points for HCC should be expanded to allow more patients to receive life-saving transplantation.
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Medical literature highlights differences in liver transplantation (LT) waitlist experiences among ABO blood types. Type AB candidates reportedly have higher LT rates and reduced mortality. Despite liver offering guidelines, ABO disparities persist. This study examines LT access discrepancies among blood types, focusing on type AB, and seeks equitable strategies. Using the United Network for Organ Sharing database (2003-2022), 170 276 waitlist candidates were retrospectively analyzed. Dual predictive analyses (LT opportunity and survival studies) evaluated 1-year recipient pool survival, considering waitlist and post-LT survival, alongside anticipated allocation value per recipient, under 6 scenarios. Of the cohort, 97 670 patients (57.2%) underwent LT. Type AB recipients had the highest LT rate (73.7% vs 55.2% for O), shortest median waiting time (90 vs 198 days for A), and lowest waitlist mortality (12.9% vs 23.9% for O), with the lowest median model for end-stage liver disease-sodium (MELD-Na) score (20 vs 25 for A/O). The LT opportunity study revealed that reallocating type A (or A and O) donors originally for AB recipients to A recipients yielded the greatest reduction in disparities in anticipated value per recipient, from 0.19 (before modification) to 0.08. Meanwhile, the survival study showed that ABO-identical LTs reduced disparity the most (3.5% to 2.8%). Sensitivity analysis confirmed these findings were specific to the MELD-Na score < 30 population, indicating current LT allocation may favor certain blood types. Prioritizing ABO-identical LTs for MELD-Na score < 30 recipients could ensure uniform survival outcomes and mitigate disparities.
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BACKGROUND: Cause of death (COD) is a predictor of liver transplant (LT) outcomes independent of donor age, yet has not been recently reappraised. METHODS: Analyzing UNOS database (2013-2022), the study explored COD trends and impacts on one-year post-LT graft survival (GS) and hazard ratios (HR) for graft failure. RESULTS: Of 80,282 brain-death donors, 55,413(69.0%) underwent initial LT. Anoxia became the predominant COD in 2015, increasing from 29.0% in 2013 to 45.1% in 2021, with notable increases in drug intoxication. Survival differences between anoxia and cerebrovascular accidents (CVA) recently became insignificant (P=0.95). Further analysis showed improved GS from intracranial hemorrhage/stroke (previously worse; P<0.01) (P=0.70). HRs for post-1-year graft failure showed reduced significance of CVA (vs.Anoxia) and intracranial hemorrhage/stroke (vs.any other COD) recently. Donors with intracranial hemorrhage/stroke, showing improved survival and HR, were allocated to recipients with lower MELD-Na, contrasting the trend for drug intoxication CODs. DISCUSSION: CVA, traditionally linked with poorer outcomes, shows improved GS and HRs (vs.Anoxia). This could be due to rising drug intoxication cases and the allocation of donors with drug intoxication to recipients with higher MELD-Na, and those with CVA to recipients with lower scores. While COD remains crucial in donor selection, proper matching can mitigate differences among CODs.
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Introduction: Hepatocellular carcinoma (HCC) is a major global health challenge, being the fifth most prevalent neoplasm and the third leading cause of cancer-related deaths worldwide. Liver transplantation offers a potentially curative approach for HCC, yet the risk of recurrence posttransplantation remains a significant concern. This study investigates the influence of a liver immune status index (LISI) on the prognosis of patients undergoing living-donor liver transplantation for HCC. Methods: In a single-center study spanning from 2001 to 2020, 113 patients undergoing living-donor liver transplantation for HCC were analyzed. LISI was calculated for each donor liver using body mass index, serum albumin levels, and the fibrosis-4 index. This study assessed the impact of donor LISI on short-term recurrence rates and survival, with special attention to its correlation with the antitumor activity of natural killer (NK) cells in the liver. Results: The patients were divided into two grades (high donor LISI, >-1.23 [n = 43]; and low donor LISI, ≤-1.23 [n = 70]). After propensity matching to adjust the background of recipient factors, the survival rates at 1 and 3 years were 92.6% and 88.9% and 81.5% and 70.4% in the low and high donor LISI groups, respectively (p = 0.11). The 1- and 3-year recurrence-free survival were 88.9% and 85.2% and 74.1% and 55.1% in the low and high donor LISI groups, respectively (p = 0.02). Conclusions: This study underscores the potential of an LISI as a noninvasive biomarker for assessing liver NK cell antitumor capacity, with implications for living-donor liver transplantation for HCC. Donor LISI emerges as a significant predictor of early recurrence risk following living-donor liver transplantation for HCC, highlighting the role of the liver antitumor activity of liver NK cells in managing liver malignancies.
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There is no recent update on the clinical course of retransplantation (re-LT) after living donor liver transplantation (LDLT) in the US using recent national data. The UNOS database (2002-2023) was used to explore patient characteristics in initial LT, comparing deceased donor liver transplantation (DDLT) and LDLT for graft survival (GS), reasons for graft failure, and GS after re-LT. It assesses waitlist dropout and re-LT likelihood, categorizing re-LT cohort based on time to re-listing as acute or chronic (≤ or > 1 mo). Of 132,323 DDLT and 5955 LDLT initial transplants, 3848 DDLT and 302 LDLT recipients underwent re-LT. Of the 302 re-LT following LDLT, 156 were acute and 146 chronic. Primary nonfunction (PNF) was more common in DDLT, although the difference was not statistically significant (17.4% vs. 14.8% for LDLT; p = 0.52). Vascular complications were significantly higher in LDLT (12.5% vs. 8.3% for DDLT; p < 0.01). Acute re-LT showed a larger difference in primary nonfunction between DDLT and LDLT (49.7% vs. 32.0%; p < 0.01). Status 1 patients were more common in DDLT (51.3% vs. 34.0% in LDLT; p < 0.01). In the acute cohort, Kaplan-Meier curves indicated superior GS after re-LT for initial LDLT recipients in both short-term and long-term ( p = 0.02 and < 0.01, respectively), with no significant difference in the chronic cohort. No significant differences in waitlist dropout were observed, but the initial LDLT group had a higher re-LT likelihood in the acute cohort (sHR 1.40, p < 0.01). A sensitivity analysis focusing on the most recent 10-year cohort revealed trends consistent with the overall study findings. LDLT recipients had better GS in re-LT than DDLT. Despite a higher severity of illness, the DDLT cohort was less likely to undergo re-LT.
Subject(s)
Databases, Factual , Graft Survival , Liver Transplantation , Living Donors , Reoperation , Waiting Lists , Humans , Liver Transplantation/statistics & numerical data , Liver Transplantation/adverse effects , Liver Transplantation/methods , Living Donors/statistics & numerical data , Female , Male , United States/epidemiology , Reoperation/statistics & numerical data , Middle Aged , Adult , Databases, Factual/statistics & numerical data , Waiting Lists/mortality , Treatment Outcome , Time Factors , Aged , Graft Rejection/epidemiology , Graft Rejection/etiology , Graft Rejection/prevention & control , Risk FactorsABSTRACT
BACKGROUND: The incidence of graft failure following liver transplantation (LTx) is consistent. While traditional risk scores for LTx have limited accuracy, the potential of machine learning (ML) in this area remains uncertain, despite its promise in other transplant domains. This study aims to determine ML's predictive limitations in LTx by replicating methods used in previous heart transplant research. METHODS: This study utilized the UNOS STAR database, selecting 64,384 adult patients who underwent LTx between 2010 and 2020. Gradient boosting models (XGBoost and LightGBM) were used to predict 14, 30, and 90-day graft failure compared to conventional logistic regression model. Models were evaluated using both shuffled and rolling cross-validation (CV) methodologies. Model performance was assessed using the AUC across validation iterations. RESULTS: In a study comparing predictive models for 14-day, 30-day and 90-day graft survival, LightGBM consistently outperformed other models, achieving the highest AUC of.740,.722, and.700 in shuffled CV methods. However, in rolling CV the accuracy of the model declined across every ML algorithm. The analysis revealed influential factors for graft survival prediction across all models, including total bilirubin, medical condition, recipient age, and donor AST, among others. Several features like donor age and recipient diabetes history were important in two out of three models. CONCLUSIONS: LightGBM enhances short-term graft survival predictions post-LTx. However, due to changing medical practices and selection criteria, continuous model evaluation is essential. Future studies should focus on temporal variations, clinical implications, and ensure model transparency for broader medical utility.
Subject(s)
Liver Transplantation , Adult , Humans , Liver Transplantation/adverse effects , Research Design , Algorithms , Bilirubin , Machine LearningABSTRACT
The use of older donors after circulatory death (DCD) for liver transplantation (LT) has increased over the past decade. This study examined whether outcomes of LT using older DCD (≥50 y) have improved with advancements in surgical/perioperative care and normothermic machine perfusion (NMP) technology. A total of 7602 DCD LT cases from the United Network for Organ Sharing database (2003-2022) were reviewed. The impact of older DCD donors on graft survival was assessed using the Kaplan-Meier and HR analyses. In all, 1447 LT cases (19.0%) involved older DCD donors. Although there was a decrease in their use from 2003 to 2014, a resurgence was noted after 2015 and reached 21.9% of all LTs in the last 4 years (2019-2022). Initially, 90-day and 1-year graft survivals for older DCDs were worse than younger DCDs, but this difference decreased over time and there was no statistical difference after 2015. Similarly, HRs for graft loss in older DCD have recently become insignificant. In older DCD LT, NMP usage has increased recently, especially in cases with extended donor-recipient distances, while the median time from asystole to aortic cross-clamp has decreased. Multivariable Cox regression analyses revealed that in the early phase, asystole to cross-clamp time had the highest HR for graft loss in older DCD LT without NMP, while in the later phases, the cold ischemic time (>5.5 h) was a significant predictor. LT outcomes using older DCD donors have become comparable to those from young DCD donors, with recent HRs for graft loss becoming insignificant. The strategic approach in the recent period could mitigate risks, including managing cold ischemic time (≤5.5 h), reducing asystole to cross-clamp time, and adopting NMP for longer distances. Optimal use of older DCD donors may alleviate the donor shortage.
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BACKGROUND: Abdominal aortic calcification (AAC) is associated with cardiovascular-related mortality, along with an elevated risk of coronary, cerebrovascular, and cardiovascular events. Notably, AAC is strongly associated with poor overall and recurrence free survival posthepatectomy for hepatocellular carcinoma. Despite the acknowledged significance of atherosclerosis in systemic inflammation, its response to ischemia/reperfusion injury (IRI) remains poorly elucidated. In this study, we aimed to clarify the impact of atherosclerosis on the liver immune system using a warm IRI mouse model. METHODS: Injury was induced in an atherosclerotic mouse model (ApoE-/-) or C57BL/6J wild-type (WT) mice through 70% clamping for 1 hour and analyzed after 6 hours of reperfusion. RESULTS: Elevated serum levels of aspartate and alanine aminotransferase, along with histological assessment, indicated considerable damage in the livers of ApoE-/- mice than that in WT mice. This indicates a substantial contribution of atherosclerosis to IRI. Furthermore, T and natural killer (NK) cells in ApoE-/- mouse livers displayed a more inflammatory phenotype than those in WT mouse livers. Reverse transcription-polymerase chain reaction analysis revealed a significant upregulation of interleukin (IL)-15 and its transcriptional regulator, interferon regulatory factor-1 (IRF-1) in ApoE-/- mouse livers compared with that in WT mouse livers. CONCLUSIONS: These findings suggest that in an atherosclerotic mouse model, atherosclerosis can mirror intrahepatic immunity, particularly activating liver NK and T cells through IL-15 production, thereby exacerbating hepatic damage. The upregulation of IL-15 expression is associated with IRF-1 overexpression.
Subject(s)
Atherosclerosis , Disease Models, Animal , Interferon Regulatory Factor-1 , Liver , Mice, Inbred C57BL , Reperfusion Injury , Animals , Reperfusion Injury/metabolism , Atherosclerosis/genetics , Atherosclerosis/pathology , Mice , Liver/pathology , Liver/metabolism , Interferon Regulatory Factor-1/genetics , Interferon Regulatory Factor-1/metabolism , Male , Killer Cells, Natural/immunology , Interleukin-15/geneticsABSTRACT
OBJECTIVE: Preoperative neutrophil-to-lymphocyte ratio (NLR) is a well-known prognostic indicator in various malignancies; however, the impact of postoperative NLR on living donor liver transplant (LDLT) recipients is unknown. Immunotherapy with donor liver-derived activated natural killer (NK) cells may improve postoperative NLR by coactivating immune cells or suppressing activated neutrophils. This study aims to clarify the clinical significance of postoperative NLR in recipients after LDLT with HCC and assess whether immunotherapy improves postoperative NLR. METHODS: We conducted a retrospective study of LDLT recipients between 2001 and 2022 to evaluate the clinical significance of postoperative NLR. Furthermore, the correlation between postoperative NLR and the activation marker of infused NK cells was also evaluated. The postoperative NLR was examined 4 weeks after LDLT. RESULTS: The postoperative high NLR group (N = 78) had preoperative lower NLR and higher model for end-stage liver disease and a higher rate of postoperative infection within 30 days after LDLT than the postoperative low NLR group (N = 41). Postoperative high NLR (hazard ratio [HR], 2.62; 95% confidence interval [CI], 1.01-6.79; P = .047) and nontreatment of immunotherapy (HR, 3.10; 95% CI, 1.33-7.22; P < .01) were independent risk factors for poor overall survival in multivariate analysis. Furthermore, the activation marker of infused NK cells is inversely correlated with decreased postoperative NLR. CONCLUSIONS: The higher level of postoperative NLR was independently associated with poor prognosis in patients after LDLT with HCC. Immunotherapy using activated NK cells may improve postoperative NLR and long-term prognosis.
Subject(s)
Carcinoma, Hepatocellular , Immunotherapy , Killer Cells, Natural , Liver Neoplasms , Liver Transplantation , Living Donors , Neutrophils , Humans , Carcinoma, Hepatocellular/surgery , Carcinoma, Hepatocellular/immunology , Carcinoma, Hepatocellular/therapy , Liver Neoplasms/surgery , Liver Neoplasms/immunology , Neutrophils/immunology , Killer Cells, Natural/immunology , Male , Female , Retrospective Studies , Middle Aged , Prognosis , Immunotherapy/methods , Lymphocytes/immunology , AdultABSTRACT
BACKGROUND: Natural killer (NK) cells are involved in innate immunity and have been reported to play an important role in hepatocellular carcinoma recurrence and post-liver transplantation (LT) infection. However, the relationship between donor age and liver-resident NK cell activity remains to be elucidated. METHODS: We successfully performed NK cell immunotherapy in 19 living donor LT recipients to prevent post-LT bloodstream infections. Liver mononuclear cells (LMNCs) were collected from the liver graft perfusate and stimulated with interleukin 2 for 3 days. Liver-resident NK cells were analyzed using flow cytometry and a chromium release assay before and after cell culture. RESULTS: The median donor age was 44 years (range, 24-64 years). The graft weight was 492 g (range, 338-642 g), and the median number of LMNCs was 584 million cells (range, 240-1472 million cells). The proportion of NK cells before and after culture was 22% and 33%, respectively. A significant correlation was found between graft weight and the number of LMNCs. However, no correlation was found between donor age and the number or percentage of NK cells in the liver. Moreover, donor age showed a significant inverse correlation with NKp46 and NKp44 expression before culture and with NKp44, tumor necrosis factor-related apoptosis-inducing ligand, and CD69 expression after culture. CONCLUSION: A significant inverse correlation was observed between donor age and NK cell activity in the liver. This information may be useful for cell therapy during LT.
Subject(s)
Immunotherapy, Adoptive , Killer Cells, Natural , Liver Transplantation , Liver , Humans , Killer Cells, Natural/immunology , Middle Aged , Immunotherapy, Adoptive/methods , Adult , Male , Liver/immunology , Female , Young Adult , Age Factors , Living DonorsABSTRACT
BACKGROUND: This study aimed to assess the risk factors for components of metabolic syndrome, such as diabetes mellitus, hypertension, and dyslipidemia, more than a year after liver transplantation. METHODS: This study included 164 patients with liver failure secondary to acute and chronic liver disease or hepatocellular carcinoma who underwent liver transplantation between 2000 and 2019. Univariate and multivariate analyses were performed to identify the risk factors associated with metabolic syndrome components after liver transplantation. RESULTS: The median follow-up period was 10.5 years. Of the 164 patients who underwent liver transplantation, 144 (87.8%) developed components of metabolic syndrome after liver transplantation. The most common cause of liver failure was hepatitis C virus infection (34.1%). The incidence of hepatocellular carcinoma was 36.0%. In univariate analysis, preoperative diabetes mellitus was a significantly more common component of metabolic syndrome than the others. In multivariate analysis, preoperative abdominal aortic calcification was a risk factor for the new onset of all components of metabolic syndrome after liver transplantation, despite the varying degree of calcification at risk of development (odds ratio for diabetes mellitus = 3.487, P = .0069; odds ratio for hypertension = 2.914, P = .0471; odds ratio for dyslipidemia = 3.553, P = .0030). CONCLUSIONS: Preoperative abdominal aortic calcification was significantly associated with the development of each metabolic syndrome component after liver transplantation.
Subject(s)
Aorta, Abdominal , Liver Transplantation , Metabolic Syndrome , Humans , Metabolic Syndrome/epidemiology , Liver Transplantation/adverse effects , Male , Female , Middle Aged , Risk Factors , Aorta, Abdominal/surgery , Aorta, Abdominal/diagnostic imaging , Aorta, Abdominal/pathology , Postoperative Complications/epidemiology , Adult , Retrospective Studies , Vascular Calcification/epidemiology , Liver Neoplasms/surgery , Carcinoma, Hepatocellular/surgeryABSTRACT
BACKGROUND/AIM: The aim of the study was to analyze the association between abdominal aortic calcification (AAC) and patient prognosis following resection of colorectal liver metastases (CRLM). AAC potentially reflects intrahepatic immunity and is involved in tumor development and progression. However, the clinical effects of AAC on colorectal cancer (CRC) prognosis after curative-intent liver resection for CRLM remain unclear. PATIENTS AND METHODS: We evaluated the effect of AAC on the clinical prognosis and metastatic patterns in 99 patients who underwent hepatectomy for CRLM between 2010 and 2019. RESULTS: The high-AAC group had significantly worse overall survival (OS) and remnant liver recurrence rate (RR) after propensity score matching to adjust for differences in baseline characteristics of patients and tumors. In multivariate Cox regression analyses, high AAC volume was an independent risk factor for poor OS and liver RR, but not poor lung RR. The expression of tumor necrosis factor-related apoptosis-inducing ligand, known as an anti-tumor marker, in liver natural killer (NK) cells was lower in the high-AAC group than in the low-AAC group. CONCLUSION: High AAC volume showed a strong relationship with remnant liver RR after curative resection of CRLM. High AAC volume may be responsible for the suppression of anti-tumor activity of liver NK cells, which results in an increased risk of liver recurrence and poor prognosis.