ABSTRACT
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.
Subject(s)
Heart Transplantation , Waiting Lists , Humans , Waiting Lists/mortality , Heart Transplantation/mortality , Child , Male , Female , Child, Preschool , Infant , Adolescent , United States/epidemiology , Tissue and Organ Procurement/statistics & numerical data , Retrospective StudiesABSTRACT
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.
Subject(s)
Blood Transfusion , Heart Transplantation , Registries , Waiting Lists , Humans , Male , Waiting Lists/mortality , Female , Heart Transplantation/adverse effects , Heart Transplantation/mortality , Middle Aged , Follow-Up Studies , Risk Factors , Prognosis , Survival Rate , Blood Transfusion/statistics & numerical data , Graft Survival , Adult , Retrospective StudiesABSTRACT
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.
Subject(s)
Kidney Transplantation , Social Determinants of Health , Waiting Lists , Humans , Waiting Lists/mortality , Female , Male , Middle Aged , Adult , United States/epidemiology , Health Services Accessibility/statistics & numerical data , Healthcare Disparities/statistics & numerical data , Aged , Tissue and Organ Procurement/statistics & numerical data , Living DonorsABSTRACT
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.
Subject(s)
Extracorporeal Membrane Oxygenation , Heart Failure , Heart Transplantation , Waiting Lists , Humans , Extracorporeal Membrane Oxygenation/mortality , Heart Transplantation/mortality , Male , Waiting Lists/mortality , Female , Heart Failure/mortality , Heart Failure/etiology , Heart Failure/therapy , Heart Failure/surgery , Retrospective Studies , Middle Aged , Prognosis , Follow-Up Studies , Survival Rate , Risk Factors , Registries , Adult , Tissue and Organ ProcurementABSTRACT
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.
Subject(s)
Acute-On-Chronic Liver Failure , Hepatitis, Alcoholic , Liver Transplantation , Severity of Illness Index , Waiting Lists , Humans , Male , Liver Transplantation/mortality , Hepatitis, Alcoholic/mortality , Hepatitis, Alcoholic/surgery , Hepatitis, Alcoholic/complications , Female , Middle Aged , Acute-On-Chronic Liver Failure/mortality , Acute-On-Chronic Liver Failure/surgery , Waiting Lists/mortality , Adult , Age Factors , Retrospective Studies , Patient Selection , PrognosisABSTRACT
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.
Subject(s)
Liver Transplantation , Waiting Lists , Humans , Waiting Lists/mortality , Adult , Child , South Africa/epidemiology , Male , Female , Adolescent , Middle Aged , Young Adult , Child, Preschool , Survival Rate , InfantABSTRACT
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.
Subject(s)
Carcinoma, Hepatocellular , Liver Neoplasms , Liver Transplantation , Portasystemic Shunt, Transjugular Intrahepatic , Waiting Lists , Humans , Carcinoma, Hepatocellular/surgery , Carcinoma, Hepatocellular/complications , Carcinoma, Hepatocellular/mortality , Waiting Lists/mortality , Liver Neoplasms/surgery , Liver Neoplasms/complications , Liver Neoplasms/mortality , Male , Female , Middle Aged , Aged , Propensity Score , alpha-Fetoproteins/analysis , alpha-Fetoproteins/metabolism , Adult , Hypertension, Portal/surgery , Hypertension, Portal/complications , Retrospective Studies , Treatment Outcome , RegistriesABSTRACT
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.
Subject(s)
Carcinoma, Hepatocellular , Liver Diseases, Alcoholic , Liver Neoplasms , Liver Transplantation , Waiting Lists , Humans , Liver Transplantation/mortality , Liver Transplantation/statistics & numerical data , Carcinoma, Hepatocellular/surgery , Carcinoma, Hepatocellular/mortality , Waiting Lists/mortality , Liver Neoplasms/surgery , Liver Neoplasms/mortality , Male , Female , Middle Aged , Liver Diseases, Alcoholic/surgery , Liver Diseases, Alcoholic/mortality , United States/epidemiology , Adult , Retrospective Studies , AgedABSTRACT
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.
Subject(s)
Heart Failure , Heart Transplantation , Hemoglobins , Hospitalization , Humans , Male , Heart Failure/blood , Heart Failure/therapy , Heart Failure/complications , Heart Failure/mortality , Female , Middle Aged , Retrospective Studies , Hospitalization/statistics & numerical data , Hemoglobins/metabolism , Hemoglobins/analysis , Adult , Waiting Lists/mortalityABSTRACT
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.
Subject(s)
End Stage Liver Disease , Liver Transplantation , Severity of Illness Index , Waiting Lists , Humans , Female , Male , Middle Aged , Retrospective Studies , Liver Transplantation/statistics & numerical data , Waiting Lists/mortality , End Stage Liver Disease/mortality , End Stage Liver Disease/surgery , Spain , Aged , Adult , Sex FactorsABSTRACT
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.
Subject(s)
Graft Survival , Liver Transplantation , Humans , Liver Transplantation/adverse effects , Female , Male , Middle Aged , Retrospective Studies , Adult , Time Factors , Allografts , Risk Factors , Aged , Tissue and Organ Procurement , Treatment Outcome , United States , Waiting Lists/mortalityABSTRACT
BACKGROUND: There is controversy surrounding the association between preexisting frailty and increased mortality in candidates and recipients of solid-organ transplants. This meta-analysis aimed to evaluate the impact of preexisting frailty on survival outcomes in solid-organ transplant candidates and recipients. METHODS: A systematic search was conducted in the PubMed, Web of Sciences, and Embase databases until October 2, 2023. Two reviewers independently selected the eligible studies according to the PECOS criteria: Participants (candidates and recipients of solid-organ transplants), Exposure (frailty), Comparison (no-frailty), Outcomes (waitlist or posttransplant mortality), and Study design (retrospective or prospective cohort studies). The pooled effects were summarized by pooling the adjusted hazard ratio (HR) with 95â¯% confidence intervals (CI) for the frail patients than those without frailty. RESULTS: Sixteen studies with 10091 patients met the eligibility criteria. Depending on the frailty tools used, the prevalence of frailty in solid-organ transplant candidates/recipients ranged from 4.6â¯% to 45.1â¯%. Frailty was significantly associated with an increased risk of waitlist mortality (HR 2.44; 95â¯% CI 1.84-3.24) and posttransplant mortality (HR 2.23; 95â¯% CI 1.61-3.09) in solid-organ transplant candidates and recipients, respectively. Subgroup analyses showed that the association of preexisting frailty with waitlist mortality and posttransplant mortality appeared to stronger in kidney transplant candidates (HR 2.70; 95â¯% CI 1.93-3.78) and lung transplantation recipients (HR 2.52; 95â¯% CI 1.23-5.15). CONCLUSION: Frailty is a significant predictor of reduced survival in solid-organ transplant candidates and recipients. Assessment of frailty has the potential to identify patients who are suitable for transplantation.
Subject(s)
Frailty , Organ Transplantation , Aged , Humans , Frailty/mortality , Frailty/complications , Organ Transplantation/mortality , Risk Factors , Transplant Recipients , Waiting Lists/mortalityABSTRACT
BACKGROUND: Transcatheter aortic valve replacement (TAVR) has become the standard of care for severe aortic stenosis treatment. Exponential growth in demand has led to prolonged wait times and adverse patient outcomes. Social marginalization may contribute to adverse outcomes. Our objective was to examine the association between different measures of neighborhood-level marginalization and patient outcomes while on the TAVR waiting list. A secondary objective was to understand if sex modifies this relationship. METHODS AND RESULTS: We conducted a population-based retrospective cohort study of 11 077 patients in Ontario, Canada, referred to TAVR from April 1, 2018, to March 31, 2022. Primary outcomes were death or hospitalization while on the TAVR wait-list. Using cause-specific Cox proportional hazards models, we evaluated the relationship between neighborhood-level measures of dependency, residential instability, material deprivation, and ethnic and racial concentration with primary outcomes as well as the interaction with sex. After multivariable adjustment, we found a significant relationship between individuals living in the most ethnically and racially concentrated areas (quintile 4 and 5) and mortality (hazard ratio [HR], 0.64 [95% CI, 0.47-0.88] and HR, 0.73 [95% CI, 0.53-1.00], respectively). There was no significant association between material deprivation, dependency, or residential instability with mortality. Women in the highest ethnic or racial concentration quintiles (4 and 5) had significantly lower risks for mortality (HR values of 0.52 and 0.56, respectively) compared with quintile 1. CONCLUSIONS: Higher neighborhood ethnic or racial concentration was associated with decreased risk for mortality, particular for women on the TAVR waiting list. Further research is needed to understand the drivers of this relationship.
Subject(s)
Aortic Valve Stenosis , Time-to-Treatment , Transcatheter Aortic Valve Replacement , Waiting Lists , Humans , Male , Female , Retrospective Studies , Aged, 80 and over , Aortic Valve Stenosis/surgery , Aortic Valve Stenosis/mortality , Aged , Waiting Lists/mortality , Ontario/epidemiology , Time-to-Treatment/statistics & numerical data , Social Deprivation , Health Services Accessibility , Time Factors , Neighborhood Characteristics , Risk Factors , Healthcare Disparities/ethnology , Sex FactorsABSTRACT
BACKGROUND: Hepatic hydrothorax is a challenging complication of end-stage liver disease, and.patients with this complication can receive model for end-stage liver disease (MELD) exception points if they meet specific criteria as defined by United Network for Organ Sharing (UNOS). This research aimed to analyze the effect of receiving MELD exception points for hepatic hydrothorax on posttransplant mortality, using a national transplant database. METHODS: Patients >18â years in the UNOS database awaiting liver transplant between 2012 and 2023 were identified based on their petition for MELD exception points. Using a 1:â 1 propensity score-matched analysis, 302 patients who received MELD exception points for hepatic hydrothorax were compared with 302 patients who did not receive MELD exception points.Demographic, clinical and laboratory values were compared. The primary outcome was posttransplant mortality. Multivariate logistic regression controlled for potential confounders. RESULTS: No significant difference was observed in mean age (58.20 vs 57.62â years), mean initial MELD score (16.93 vs 16.54), or mean Child-Pugh score (9.77 vs 9.74) in patients with hepatic hydrothorax receiving MELD exception points versus their matched cohort who did not recieve exception points. The proportion of males was slightly higher among patients who received MELD exception points (57.6% males vs 53.6% males). A majority of patients in both groups had Child-Pugh grade C (>56%). Patients receiving MELD exception points for hepatic hydrothorax had a statistically significant 44% decrease in the odds of posttransplant death compared to those who did not (OR 0.56; 95% CI 0.37-0.88; P â =â 0.01). Among the combined cohort, each year increase in age resulted in a 3.9% increase in mortality (OR 1.04; 95% CI 1.01-1.07; P â =â 0.005), and every one-unit increase in serum creatinine resulted in a 40% increase in mortality (OR 1.40; 95% CI 1.03-1.92; P â =â 0.03). CONCLUSION: Receiving MELD exception points for hepatic hydrothorax is associated with a significant reduction in the odds of posttransplant mortality. These findings underscore the importance of MELD exception points for hepatic hydrothorax among patients with decompensated cirrhosis, potentially improving patient prioritization for liver transplantation and influencing clinical decision-making.
Subject(s)
End Stage Liver Disease , Hydrothorax , Liver Transplantation , Propensity Score , Humans , Hydrothorax/etiology , Hydrothorax/mortality , Male , Female , Middle Aged , Liver Transplantation/mortality , End Stage Liver Disease/surgery , End Stage Liver Disease/mortality , End Stage Liver Disease/complications , Treatment Outcome , Retrospective Studies , Risk Factors , Databases, Factual , Logistic Models , Aged , United States/epidemiology , Severity of Illness Index , Multivariate Analysis , Time Factors , Waiting Lists/mortality , Adult , Risk AssessmentABSTRACT
BACKGROUND: Waitlist mortality (WM) remains elevated in pediatric heart transplantation. Allocation policy is a potential tool to help improve WM. This study aims to identify patients at highest risk for WM to potentially inform future allocation policy changes. METHODS: The Pediatric Heart Transplant Society database was queried for patients <18 years of age indicated for heart transplantation between January 1, 2010 to December 31, 2021. Waitlist mortality was defined as death while awaiting transplant or removal from the waitlist due to clinical deterioration. Because WM is low after the first year, analysis was limited to the first 12 months on the heart transplant list. Kaplan-Meier analysis and log-rank testing was conducted to compare unadjusted survival between groups. Cox proportional hazard models were created to determine risk factors for WM. Subgroup analysis was performed for status 1A patients based on body surface area (BSA) at time of listing, cardiac diagnosis, and presence of mechanical circulatory support. RESULTS: In total 5974 children met study criteria of which 3928 were status 1A, 1012 were status 1B, 963 were listed status 2, and 65 were listed status 7. Because of the significant burden of WM experienced by 1A patients, further analysis was performed in only patients indicated as 1A. Within that group of patients, those with smaller size and lower eGFR had higher WM, whereas those patients without congenital heart disease or support from a ventricular assist device (VAD) at time of listing had decreased WM. In the smallest size cohort, cardiac diagnoses other than dilated cardiomyopathy were risk factors for WM. Previous cardiac surgery was a risk factor in the 0.3 to 0.7 m2 and >0.7 m2 BSA groups. VAD support was associated with lower WM other than in the single ventricle cohort, where VAD was associated with higher WM. Extracorporeal membrane oxygenation and mechanical ventilation were associated with increased risk of WM in all cohorts. CONCLUSIONS: There is significant variability in WM among status-1A patients. Potential refinements to current allocation system should factor in the increased WM risk we identified in patients supported by extracorporeal membrane oxygenation or mechanical ventilation, single ventricle congenital heart disease on VAD support and small children with congenital heart disease, restrictive cardiomyopathy, or hypertrophic cardiomyopathy.
Subject(s)
Databases, Factual , Heart Transplantation , Waiting Lists , Humans , Heart Transplantation/mortality , Waiting Lists/mortality , Child , Male , Female , Child, Preschool , Infant , Adolescent , Risk Factors , Treatment Outcome , Infant, NewbornABSTRACT
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.
Subject(s)
COVID-19 , End Stage Liver Disease , Hepatitis, Alcoholic , Liver Transplantation , Waiting Lists , Humans , Liver Transplantation/adverse effects , Waiting Lists/mortality , Hepatitis, Alcoholic/mortality , Hepatitis, Alcoholic/surgery , Male , Female , Middle Aged , United States/epidemiology , COVID-19/mortality , End Stage Liver Disease/surgery , End Stage Liver Disease/mortality , Severity of Illness Index , Adult , SARS-CoV-2ABSTRACT
OBJECTIVES: To quantify the survival benefit of kidney transplantation for Aboriginal and Torres Strait Islander people waitlisted for deceased donor kidney transplantation in Australia. STUDY DESIGN: Retrospective cohort study; analysis of linked data from the Australia and New Zealand Dialysis and Transplant (ANZDATA) registry, the Australia and New Zealand Organ Donation (ANZOD) registry, and OrganMatch (Australian Red Cross). SETTING, PARTICIPANTS: All adult Aboriginal and Torres Strait Islander people (18 years or older) who commenced dialysis in Australia during 1 July 2006 - 31 December 2020 and were included in the kidney-only deceased donor transplant waiting list. MAIN OUTCOME MEASURES: Survival benefit of deceased donor kidney transplantation relative to remaining on dialysis. RESULTS: Of the 4082 Aboriginal and Torres Strait Islander people who commenced dialysis, 450 were waitlisted for kidney transplants (11%), of whom 323 received deceased donor transplants. Transplantation was associated with a significant survival benefit compared with remaining on dialysis after the first 12 months (adjusted hazard ratio [HR], 0.38; 95% confidence interval [CI], 0.20-0.73). This benefit was similar to that for waitlisted non-Indigenous people who received deceased donor kidney transplants (adjusted HR, 0.47; 95% CI, 0.40-0.57; Indigenous status interaction: P = 0.22). CONCLUSIONS: From twelve months post-transplantation, deceased donor transplantation provides a survival benefit for Aboriginal and Torres Strait Islander people. Our findings provide evidence that supports efforts to promote the waitlisting of Aboriginal and Torres Strait Islander people who are otherwise eligible for transplantation.
Subject(s)
Australian Aboriginal and Torres Strait Islander Peoples , Kidney Transplantation , Waiting Lists , Adult , Female , Humans , Male , Middle Aged , Australia/epidemiology , Kidney Failure, Chronic/surgery , Kidney Failure, Chronic/ethnology , Kidney Failure, Chronic/mortality , Kidney Failure, Chronic/therapy , Kidney Transplantation/statistics & numerical data , New Zealand/epidemiology , Registries , Renal Dialysis , Retrospective Studies , Tissue and Organ Procurement/statistics & numerical data , Tissue Donors/statistics & numerical data , Waiting Lists/mortalityABSTRACT
BACKGROUND: Waitlist and posttransplant outcomes have been widely reported for pediatric liver transplantation. Yet, analyzing these metrics individually fails to provide a holistic perspective for patients and their families. Intent-to-treat (ITT) analysis fills this gap by studying the associations between waitlist outcomes, organ availability, and posttransplant outcomes. Our study aimed to construct a predictive index utilizing ITT analysis for pediatric liver transplant recipients (Pedi-ITT). METHODS: We performed a retrospective analysis utilizing de-identified data provided by the United Network for Organ Sharing (UNOS) from March 1, 2002, to December 31, 2021. We analyzed data for 12 926 pediatric recipients (age <18). We conducted a univariate and multivariable logistic regression to find the significant predictive factors affecting ITT survival. A scoring index was constructed to stratify outcome risk on the basis of the significant factors identified by regression analysis. RESULTS: Multivariable analysis found the following factors to be significantly associated with death on the waitlist or after transplant: gender, diagnosis, UNOS region, ascites, diabetes mellitus, age at the time of listing, serum sodium at the time of listing, total bilirubin at the time of listing, serum creatinine at the time of listing, INR at the time of listing, history of ventilator use, and history of re-transplantation. Using receiver operator characteristic analysis, the Pedi-ITT index had a c-statistic of 0.79 (95% confidence interval [CI]: 0.76-0.82). The c-statistics of the Model for End-Stage Liver Disease/Pediatric for End-Stage Liver Disease and pediatric version of the Survival Outcomes Following Liver Transplantation score indices were 0.74 (CI: 0.71-0.76) and 0.69 (CI: 0.66-0.72), respectively. CONCLUSIONS: The Pedi-ITT index provides an additional prognostic model with moderate predictive power to assess outcomes associated with pediatric liver transplantation. Further analysis should focus on increasing the predictive power of the index.