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OBJECTIVE: Routine screening for cardiovascular disease before kidney transplantation remains controversial. This study aims to compare cardiac testing rates in patients with end-stage renal disease, referred and not referred for transplantation, and assess the impact of testing on transplant wait times. METHODS: This is a retrospective cohort study of 22 687 end-stage renal disease patients from 2011 to 2022, within an integrated health system. Cardiac testing patterns, and the association between cardiac testing and transplant wait times and post-transplant mortality were evaluated. RESULTS: Of 22 687 patients (median age 66 years, 41.1% female), 6.9% received kidney transplants, and 21.0% underwent evaluation. Compared with dialysis patients, transplant patients had a 5.6 times higher rate of stress nuclear myocardial perfusion imaging with single-photon emission (rate ratio (RR) 5.64, 95% CI 5.37 to 5.92), a 6.5 times higher rate of stress echocardiogram (RR 6.51, 95% CI 5.65 to 7.51) and 16% higher cardiac catheterisation (RR 1.16, 95% CI 1.06 to 1.27). In contrast, revascularisation rates were significantly lower in transplant patients (RR 0.46, 95% CI 0.36 to 0.58). Transplant wait times were longer for patients who underwent stress testing (median 474 days with no testing vs 1053 days with testing) and revascularisation (1796 days for percutaneous intervention and 2164 days for coronary artery bypass surgery). No significant association was observed with 1-year post-transplant mortality (adjusted OR 1.99, 95% CI 0.46 to 8.56). CONCLUSIONS: This study found a higher rate of cardiac testing in dialysis patients evaluated for kidney transplants. Cardiac testing was associated with longer transplant wait time, but no association was observed between testing and post-transplant mortality.

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BACKGROUND: There is a lack of information on the waitlist performance and post-transplant outcomes of lung transplants in elderly recipients in Korea. METHODS: We retrospectively reviewed and analyzed data from the Korean Network for Organ Sharing database between March 2010 and August 2023. RESULTS: In total, 2574 patients were listed for lung transplantation during the study period, with 511 (19.9%) of them being over 65 years of age. Among these, 188 patients (36.8%) underwent transplantation, while 184 patients (36%) passed away without undergoing transplantation at the time of data extraction. The most prevalent underlying disease on the waitlist was idiopathic pulmonary fibrosis, accounting for 68.1%. The 1-year survival rate was significantly lower in the elderly compared to that in the nonelderly (65.4 vs. 75.4%; p = .004). In the multivariate Cox analysis, elderly (hazard ratio [HR], 1.49; 95% CI, 1.14-1.97; p = .004) and a high urgent status at registration (HR, 1.83; 95% CI, 1.40-2.40; p < .001) were significantly associated with post-transplant 1-year mortality. Kaplan-Meier curves demonstrated a significant difference in post-transplant mortality based on the urgency status at enrollment (χ2 = 8.302, p = .016). Even with the same highly urgent condition at the time of transplantation, different prognoses were observed depending on the condition at listing (χ2 = 9.056, p = .029). CONCLUSION: The elderly exhibited worse transplant outcomes than nonelderly adults, with a highly urgent status at registration identified as a significant risk factor. Unprepared, highly urgent transplantation was associated with poor outcomes.

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BACKGROUND: In 2016, the United Network for Organ Sharing revised its pediatric heart transplant (HT) allocation policy. OBJECTIVES: This study sought to determine whether the 2016 revisions are associated with reduced waitlist mortality and capture patient-specific risks. METHODS: Children listed for HT from 1999 to 2023 were identified using Organ Procurement and Transplantation Network data and grouped into 3 eras (era 1: 1999-2006; era 2: 2006-2016; era 3: 2016-2023) based on when the United Network for Organ Sharing implemented allocation changes. Fine-Gray competing risks modeling was used to identify factors associated with death or delisting for deterioration. Fixed-effects analysis was used to determine whether allocation changes were associated with mortality. RESULTS: Waitlist mortality declined 8 percentage points (PP) across eras (21%, 17%, and 13%, respectively; P < 0.01). At listing, era 3 children were less sick than era 1 children, with 6 PP less ECMO use (P < 0.01), 11 PP less ventilator use (P < 0.01), and 1 PP less dialysis use (P < 0.01). Ventricular assist device (VAD) use was 13 PP higher, and VAD mortality decreased 9 PP (P < 0.01). Non-White mortality declined 10 PP (P < 0.01). ABO-incompatible listings increased 27 PP, and blood group O infant mortality decreased 13 PP (P < 0.01). In multivariable analyses, the 2016 revisions were not associated with lower waitlist mortality, whereas VAD use (in era 3), ABO-incompatible transplant, improved patient selection, and narrowing racial disparities were. Match-run analyses demonstrated poor correlation between individual waitlist mortality risk and the match-run order. CONCLUSIONS: The 2016 allocation revisions were not independently associated with the decline in pediatric HT waitlist mortality. The 3-tier classification system fails to adequately capture patient-specific risks. A more flexible allocation system that accurately reflects patient-specific risks and considers transplant benefit is urgently needed.

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BACKGROUND: This study evaluates the clinical trends, risk factors, and impact of waitlist blood transfusion on outcomes following isolated heart transplantation. METHODS: The UNOS registry was queried to identify adult recipients from January 1, 2014, to June 30, 2022. The recipients were stratified into two groups depending on whether they received a blood transfusion while on the waitlist. The incidence of waitlist transfusion was compared before and after the 2018 allocation policy change. The primary outcome was survival. Propensity score-matching was performed. Multivariable logistic regression was performed to identify predictors of waitlist transfusion. A sub-analysis was performed to evaluate the impact of waitlist time on waitlist transfusion. RESULTS: From the 21 926 recipients analyzed in this study, 4201 (19.2%) received waitlist transfusion. The incidence of waitlist transfusion was lower following the allocation policy change (14.3% vs. 23.7%, p < 0.001). The recipients with waitlist transfusion had significantly reduced 1-year posttransplant survival (88.8% vs. 91.9%, p < 0.001) compared to the recipients without waitlist transfusion in an unmatched comparison. However, in a propensity score-matched comparison, the two groups had similar 1-year survival (90.0% vs. 90.4%, p = 0.656). Multivariable analysis identified ECMO, Impella, and pretransplant dialysis as strong predictors of waitlist transfusion. In a sub-analysis, the odds of waitlist transfusion increased nonlinearly with longer waitlist time. CONCLUSION: There is a lower incidence of waitlist transfusion among transplant recipients under the 2018 allocation system. Waitlist transfusion is not an independent predictor of adverse posttransplant outcomes but rather a marker of the patient's clinical condition. ECMO, Impella, and pretransplant dialysis are strong predictors of waitlist transfusion.

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BACKGROUND: Comprehensive, individual-level social determinants of health (SDOH) are not collected in national transplant registries, limiting research aimed at understanding the relationship between SDOH and waitlist outcomes among kidney transplant candidates. METHODS: We merged Organ Procurement and Transplantation Network data with individual-level SDOH data from LexisNexis, a commercial data vendor, and conducted a competing risk analysis to determine the association between individual-level SDOH and the cumulative incidence of living donor kidney transplant (LDKT), deceased donor kidney transplant (DDKT), and waitlist mortality. We included adult kidney transplant candidates placed on the waiting list in 2020, followed through December 2023. RESULTS: In multivariable analysis, having public insurance (Medicare or Medicaid), less than a college degree, and any type of derogatory record (liens, history of eviction, bankruptcy and/ felonies) were associated with lower likelihood of LDKT. Compared with patients with estimated individual annual incomes ≤ $30,000, patients with incomes ≥ $120,000 were more likely to receive a LDKT (sub distribution hazard ratio (sHR), 2.52; 95% confidence interval (CI), 2.03-3.12). Being on Medicare (sHR, 1.49; 95% CI, 1.42-1.57), having some college or technical school, or at most a high school diploma were associated with a higher likelihood of DDKT. Compared with patients with incomes ≤ $30,000, patients with incomes ≥ $120,000 were less likely to receive a DDKT (sHR, 0.60; 95% CI, 0.51-0.71). Lower individual annual income, having public insurance, at most a high school diploma, and a record of liens or eviction were associated with higher waitlist mortality. CONCLUSIONS: Patients with adverse individual-level SDOH were less likely to receive LDKT, more likely to receive DDKT, and had higher risk of waitlist mortality. Differential relationships between SDOH, access to LDKT, DDKT, and waitlist mortality suggest the need for targeted interventions aimed at decreasing waitlist mortality and increasing access to LDKT among patients with adverse SDOH.

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BACKGROUND: Severe alcohol-associated hepatitis (AH) that is nonresponsive to corticosteroids is associated with high mortality, particularly with concomitant acute-on-chronic liver failure (ACLF). Most patients will not be candidates for liver transplantation (LT) and their outcomes are largely unknown. Our aim was to determine the outcomes of these declined candidates and to derive practical prediction models for transplant-free survival applicable at the time of the waitlist decision. METHODS: We analyzed a database of patients with severe AH who were hospitalized at a LT center from January 2012 to July 2021, using the National Death Index for those lacking follow-up. Clinical variables were analyzed based on the endpoints of mortality at 30, 60, 90, and 180 days. Logistic and Cox regression analyses were used for model derivation. RESULTS: Over 9.5 years, 206 patients with severe AH were declined for LT, mostly for unfavorable psychosocial profiles, with a mean MELD of 33 (±8), and 61% with ACLF. Over a median follow-up of 521 (17.5-1368) days, 58% (119/206) died at a median of 21 (9-124) days. Of 32 variables, only age added prognostic value to MELD and ACLF grade. CLIF-C ACLF score and 2 new models, MELD-Age and ACLF-Age, had similar predictability (AUROC: 0.73, 0.73, 0.72, respectively), outperforming Lille and Maddrey's (AUROC: 0.63, 0.62). In internal cross-validation, the average AUROC was 0.74. ACLF grade ≥2, MELD score >35, and age >45 years were useful cutoffs for predicting increased 90-day mortality from waitlist decision. Only two patients initially declined for LT for AH subsequently underwent LT (1%). CONCLUSIONS: Patients with severe AH declined for LT have high short-term mortality and rare rates of subsequent LT. Age added to MELD or ACLF grade enhances survival prediction at the time of waitlist decision in patients with severe AH declined for LT.

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BACKGROUND: Extracorporeal membrane oxygenation (ECMO) has gained traction as a bridge to heart transplantation (HT) but remains associated with increased waitlist mortality. This study explores whether this risk is modified by underlying heart failure (HF) etiology. METHODS: Using the Organ Procurement and Transplantation Network registry, we conducted a retrospective review of first-time adult HT candidates from 2018 through 2022. Patients were categorized as "ECMO", if ECMO was utilized during the waitlisting period, or "No ECMO" otherwise. Patients were then stratified according to the following HF etiology: ischemic cardiomyopathy (CMP), dilated nonischemic CMP, restrictive CMP, hypertrophic CMP, and congenital heart disease (CHD). After baseline comparisons, waitlist mortality was characterized for ECMO and HF etiology using the Fine-Gray regression. RESULTS: A total of 16 143 patients were identified of whom 7.0% (n = 1063) were bridged with ECMO. Compared to No ECMO patients, ECMO patients had shorter waitlist durations (46.3 vs. 185.0 days, p < 0.01) and were more likely to undergo transplantation (75.3% vs. 70.3%, p < 0.01). Outcomes analysis revealed that ECMO was associated with increased mortality risk (subdistribution hazard ratio [SHR]: 3.42, p < 0.01), a risk that persisted in all subgroups and was notably high in CHD (SHR: 4.83, p < 0.01) and hypertrophic CMP (SHR: 9.78, p < 0.01). HF etiology comparison within ECMO patients revealed increased mortality risk with CHD (SHR: 3.22, p < 0.01). Within No ECMO patients, hypertrophic CMP patients had lower mortality risk (SHR: 0.64, p = 0.03). CONCLUSIONS: The increased waitlist mortality risk with ECMO persisted after stratification by HF etiology. These findings can help decision-making surrounding candidacy for cannulation and prognostic evaluation.

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Although anemia is a common comorbidity that often coexists with heart failure (HF), its clinical impact in patients with advanced HF remains unclear. We investigated the impact of hemoglobin levels on clinical outcomes in patients with advanced HF listed for heart transplantation without intravenous inotropes or mechanical circulatory support.We retrospectively reviewed the clinical data of patients listed for heart transplantation at our institute who did not receive intravenous inotropes or mechanical circulatory support between 2011 and 2022. We divided the patients into those with hemoglobin levels lower or higher than the median value and compared the composite of all-cause death and HF hospitalization within 1 year from the listing date.We enrolled consecutive 38 HF patients (27 males, 49.1 ± 10.8 years old). The median hemoglobin value at the time of listing for heart transplantation was 12.9 g/dL, and 66.7% of the patients had iron deficiency. None of the patients in either group died within 1 year. The HF hospitalization-free survival rate was significantly lower in the lower hemoglobin group (40.9% versus 81.9% at 1 year, P = 0.020). Multivariate Cox proportional hazards model analysis showed that hemoglobin as a continuous variable was an independent predictor for HF hospitalization (odds ratio 0.70, 95% confidence interval 0.49-0.97, P = 0.030).Hemoglobin level at the time of listing for heart transplantation was a predictor of hospitalization in heart-transplant candidates without intravenous inotropes or mechanical circulatory support.

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BACKGROUND: Liver transplantation (LT) for alcohol-associated liver disease (ALD) is increasing and may impact LT outcomes for patients listed for HCC and other indications. METHODS: Using US adults listed for primary LT (grouped as ALD, HCC, and other) from October 8, 2015, to December 31, 2021, we examined the impact of center-level ALD LT volume (ATxV) on waitlist outcomes in 2 eras: Era 1 (6-month wait for HCC) and Era 2 (MMaT-3). The tertile distribution of ATxV (low to high) was derived from the listed candidates as Tertile 1 (T1): <28.4%, Tertile 2 (T2): 28.4%-37.6%, and Tertile 3 (T3): >37.6% ALD LTs per year. Cumulative incidence of waitlist death and LT within 18 months from listing by LT indication were compared using the Gray test, stratified on eras and ATxV tertiles. Multivariable competing risk regression estimated the adjusted subhazard ratios (sHRs) for the risk of waitlist mortality and LT with interaction effects of ATxV by LT indication (interaction p). RESULTS: Of 56,596 candidates listed, the cumulative waitlist mortality for those with HCC and other was higher and their LT probability was lower in high (T3) ATxV centers, compared to low (T1) ATxV centers in Era 2. However, compared to ALD (sHR: 0.92 [0.66-1.26]), the adjusted waitlist mortality for HCC (sHR: 1.15 [0.96-1.38], interaction p = 0.22) and other (sHR: 1.13 [0.87-1.46], interaction p = 0.16) were no different suggesting no differential impact of ATxV on the waitlist mortality. The adjusted LT probability for HCC (sHR: 0.89 [0.72-1.11], interaction p = 0.08) did not differ by AtxV while it was lower for other (sHR: 0.82 [0.67-1.01], interaction p = 0.02) compared to ALD (sHR: 1.04 [0.80-1.34]) suggesting a differential impact of ATxV on LT probability. CONCLUSIONS: The high volume of LT for ALD does not impact waitlist mortality for HCC and others but affects LT probability for other in the MMAT-3 era warranting continued monitoring.

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BACKGROUND: The demand for liver transplants (LT) in the United States far surpasses the availability of allografts. New allocation schemes have resulted in occasional difficulties with allograft placement and increased intraoperative turndowns. We aimed to evaluate the outcomes related to use of late-turndown liver allografts. METHODS: A review of prospectively collected data of LTs at a single center from July 2019 to July 2023 was performed. Late-turndown placement was defined as an open offer 6 h prior to donation, intraoperative turndown by primary center, or post-cross-clamp turndown. RESULTS: Of 565 LTs, 25.1% (n = 142) received a late-turndown liver allograft. There were no significant differences in recipient age, gender, BMI, or race (all p > 0.05), but MELD was lower for the late-turndown LT recipient group (median 15 vs 21, p < 0.001). No difference in 30-day, 6-month, or 1-year survival was noted on logistic regression, and no difference in patient or graft survival was noted on Cox proportional hazard regression. Late-turndown utilization increased during the study from 17.2% to 25.8%, and median waitlist time decreased from 77 days in 2019 to 18 days in 2023 (p < 0.001). CONCLUSION: Use of late-turndown livers has increased and can increase transplant rates without compromising post-transplant outcomes with appropriate selection.

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Transjugular intrahepatic portosystemic shunt (TIPS) reduces portal hypertension complications. Its impact on hepatocellular carcinoma (HCC) remains unclear. We evaluated 42,843 liver transplant candidates with HCC from the Scientific Registry of Transplant Recipients (2002-2022). 4,484 patients with and without TIPS were propensity score-matched 1:3. Analysing wait-list changes in total tumor volume, HCC count, and alpha-fetoprotein levels, and assessing survival from listing and transplantation; TIPS correlated with a decreased nodule count (-0.24 vs. 0.04, p = 0.028) over a median wait period of 284 days (IQR 195-493) and better overall survival from listing (95.6% vs. 91.5% at 1 year, p < 0.0001). It was not associated with changes in tumor volume (0.28 vs. 0.11 cm³/month, p = 0.58) and AFP (14.37 vs. 20.67 ng/mL, p = 0.42). Post-transplant survival rates (91.8% vs. 91.7% at 1 year, p = 0.25) and HCC recurrence (5.1% vs. 5.9% at 5 years, p = 0.14) were similar, with a median follow-up of 4.98 years (IQR 2.5-8.08). While TIPS was associated with a reduced nodule count and improved waitlist survival, it did not significantly impact HCC growth or aggressiveness. These findings suggest potential benefits of TIPS in HCC management, but further studies need to confirm TIPS safety.

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BACKGROUND: MELD3.0 has been proposed to stratify patients on the liver transplant waiting list (WL) to reduce the historical disadvantage of women in accessing liver transplant. Our aim was to validate MELD3.0 in 2 unique populations. METHODS: This study is a 2-center retrospective cohort study from Toronto, Canada, and Valencia, Spain, of all adults added to the liver transplant WL between 2015 and 2019. Listing indications whose short-term survival outcome is not adequately captured by the MELD score were excluded. All patients analyzed had a minimum follow-up of 3 months after inclusion in the WL. RESULTS: Six hundred nineteen patients were included; 61% were male, with a mean age of 56 years. Mean MELD at inclusion was 18.00 ± 6.88, Model for End-Stage Liver Disease Sodium (MELDNa) 19.78 ± 7.00, and MELD3.0 20.25 ± 7.22. AUC to predict 90-day mortality on the WL was 0.879 (95% CI: 0.820, 0.939) for MELD, 0.921 (95% CI: 0.876, 0.967) for MELDNa, and 0.930 (95% CI: 0.888, 0.973) for MELD3.0. MELDNa and MELD3.0 were better predictors than MELD (p = 0.055 and p = 0.024, respectively), but MELD3.0 was not statistically superior to MELDNa (p = 0.144). The same was true when stratified by sex, although the difference between MELD3.0 and MELD was only significant for women (p = 0.032), while no statistical significance was found in either sex when compared with MELDNa. In women, AUC was 0.835 (95% CI: 0.744, 0.926) for MELD, 0.873 (95% CI: 0.785, 0.961) for MELDNa, and 0.886 (95% CI: 0.803, 0.970) for MELD3.0; differences for the comparison between AUC in women versus men for all 3 scores were nonsignificant. Compared to MELD, MELD3.0 was able to reclassify 146 patients (24%), the majority of whom belonged to the MELD 10-19 interval. Compared to MELDNa, it reclassified 68 patients (11%), most of them in the MELDNa 20-29 category. CONCLUSIONS: MELD3.0 has been validated in centers with significant heterogeneity and offers the highest mortality prediction for women on the WL without disadvantaging men. However, in these cohorts, it was not superior to MELDNa.

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In 2022, the Wits Transplant Unit performed 57 liver transplants: 33/57 adult (58%) and 24/57 paediatric (42%) recipients. At the beginning of 2022, 28 candidates were on the adult waitlist. Forty-six candidates were added to the waitlist during the year. Sixty-five percent of waitlisted candidate were transplanted. Adult candidates remained on the waitlist for longer than previous years, with 52% of them waitlisted for less than one year before undergoing liver transplantation. There was a decrease in adult pretransplant mortality to 9% in 2021 from 25% in 2020. The most common aetiology in waitlist candidates was alcoholic steatohepatitis (ASH)/non-alcoholic steatohepatitis (NASH) (36%) and in recipients cholestatic (primary sclerosing cholangitis (PSC) and primary biliary sclerosis (PBC)) (40%). Most adult recipients received a deceased donor graft (79%). Unadjusted recipient one- and three-year survivals were 75% (95% confidence interval (CI) 65 - 83) and 74% (95% CI 65 - 81), respectively. In the paediatric population, the most common aetiologies for both pretransplant candidates and transplant recipients remained cholestatic disease and acute liver failure. There was a decrease in paediatric pretransplant mortality from 27% in 2017 to 6% in 2021. Unlike the adult cohort, most paediatric recipients received a living donor graft (79%). Unadjusted one-year and three-year survival rates were 85% (95% CI 75 - 92) and 68% (95% CI 56 - 77), respectively.

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Liver transplantation (LT) in patients with alcohol-associated hepatitis (AH) has rapidly increased following the coronavirus disease 2019 pandemic and the implementation of the Acuity Circle policy, raising questions of equity and utility. Waitlist mortality among high (≥37) Model for End-Stage Liver Disease LT candidates with AH and post-transplant survival were assessed with a semiparametric survival regression and a generalized linear mixed-effect model with LT centre- and listing date-level random intercepts. These models demonstrate a lower mortality for the candidates listed with AH (adjusted sub-hazard ratio .58_.72_.90 and odds ratio .44_.66_.99) when compared to other diagnoses (autoimmune hepatitis, metabolic dysfunction-associated fatty liver disease and primary biliary cholangitis). Post-LT survival was comparable. This study highlights the limitations of current tools in characterizing the risk of mortality, and thus need for the modifications in prioritizing LT candidates with AH. Policy revision may be needed to ensure equivalent access to LT regardless of diagnosis.

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BACKGROUND: The age profile of organ donors and patients on lung transplantation (LT) waiting lists have changed over time. In Europe, the donor population has aged much more rapidly than the recipient population, making allocation decisions on lungs from older donors common. In this study we assessed the impact of donor and recipient age discrepancy on LT outcomes in the UK and France. METHODS: A retrospective analysis of all adult single or bilateral LT in France and the UK between 2010 and 2021. Recipients were stratified into 3 age author groups: young (≤30 years), middle-aged (30-60) and older (≥60). Their donors were also stratified into 2 groups <60, ≥60. Primary graft dysfunction (PGD) rates and recipient survival was compared between matched and mismatched donor and recipient age groups. Propensity matching was employed to minimize covariate imbalances and to improve the internal validity of our results. RESULTS: Our study cohort was 4,696 lung transplant recipients (LTRs). In young and older LTRs, there was no significant difference in 1 and 5-year post-transplant survival dependent on the age category of the donor. Young LTRs who received older donor grafts had a higher risk of severe grade 3 PGD. CONCLUSION: Our findings show that clinically usable organs from older donors can be utilized safely in LT, even for younger recipients. Further research is needed to assess if the higher rate of PGD3 associated with use of older donors has an effect on long-term outcomes.

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Physical frailty is a critical determinant of mortality in patients with cirrhosis and can be objectively measured using the Liver Frailty Index (LFI), which is potentially modifiable. We aimed to identify LFI cut-points associated with waitlist mortality. Ambulatory adults with cirrhosis without HCC awaiting liver transplantation from 9 centers from 2012 to 2021 for ≥3 months with ≥2 pre-liver transplantation LFI assessments were included. The primary explanatory variable was the change in LFI from first to second assessments per 3 months (∆LFI); we evaluated clinically relevant ∆LFI cut-points at 0.1, 0.2, 0.3, and 0.5. The primary outcome was waitlist mortality (death or delisting for being too sick), with transplant considered as a competing event. Among 1029 patients, the median (IQR) age was 58 (51-63) years; 42% were female; and the median lab Model for End-Stage Liver Disease-Sodium at first assessment was 18 (15-22). For each 0.1 improvement in ∆LFI, the risk of overall mortality decreased by 6% (cause-specific hazard ratio: 0.94, 95% CI: 0.92-0.97, p < 0.001). ∆LFI was associated with waitlist mortality at cut-points as low as 0.1 (cause-specific hazard ratio: 0.63, 95% CI: 0.46-0.87) and 0.2 (HR: 0.61, 95% CI: 0.42-0.87). An improvement in LFI per 3 months as small as 0.1 in the pre-liver transplantation period is associated with a clinically meaningful reduction in waitlist mortality. These data provide estimates of the reduction in mortality risk associated with improvements in LFI that can be used to assess the effectiveness of interventions targeting physical frailty in patients with cirrhosis.

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