Abdominal computed tomography measurements of body composition and waitlist mortality in kidney transplant candidates.

Body mass index is often used to determine kidney transplant (KT) candidacy. However, this measure of body composition (BC) has several limitations, including the inability to accurately capture dry weight. Objective computed tomography (CT)-based measures may improve pre-KT risk stratification and capture physiological aging more accurately. We quantified the association between CT-based BC measurements and waitlist mortality in a retrospective study of 828 KT candidates (2010-2022) with clinically obtained CT scans using adjusted competing risk regression. In total, 42.5% of candidates had myopenia, 11.4% had myopenic obesity (MO), 68.8% had myosteatosis, 24.8% had sarcopenia (probable = 11.2%, confirmed = 10.5%, and severe = 3.1%), and 8.6% had sarcopenic obesity. Myopenia, MO, and sarcopenic obesity were not associated with mortality. Patients with myosteatosis (adjusted subhazard ratio [aSHR] = 1.62, 95% confidence interval [CI]: 1.07-2.45; after confounder adjustment) or sarcopenia (probable: aSHR = 1.78, 95% CI: 1.10-2.88; confirmed: aSHR = 1.68, 95% CI: 1.01-2.82; and severe: aSHR = 2.51, 95% CI: 1.12-5.66; after full adjustment) were at increased risk of mortality. When stratified by age, MO (aSHR = 2.21, 95% CI: 1.28-3.83; P interaction = .005) and myosteatosis (aSHR = 1.95, 95% CI: 1.18-3.21; P interaction = .038) were associated with elevated risk only among candidates <65 years. MO was only associated with waitlist mortality among frail candidates (adjusted hazard ratio = 2.54, 95% CI: 1.28-5.05; P interaction = .021). Transplant centers should consider using BC metrics in addition to body mass index when a CT scan is available to improve pre-KT risk stratification at KT evaluation.

Excess waitlist mortality among candidates for multivisceral liver-intestine transplant in acuity circle allocation.

Candidates for multivisceral transplant (MVT) have experienced decreased access to transplant in recent years. Using Organ Procurement and Transplantation Network data, transplant and waiting list outcomes for MVT (ie, liver-intestine, liver-intestine-pancreas, and liver-intestine-kidney-pancreas) candidates listed between February 4, 2018, and February 3, 2022, were analyzed, including model for end-stage liver disease/pediatric end-stage liver disease and exception scores by era (before and after acuity circle [AC] implementation on February 4, 2020) and age group (pediatric and adult). Of 284 MVT waitlist registrations (45.6% pediatric), fewer had exception points at listing post-AC compared to pre-AC (10.0% vs 19.1%), and they were less likely to receive transplant (19.1% vs 35.9% at 90 days; 35.7% vs 57.2% at 1 year). Of 177 MVT recipients, exception points at transplant were more common post-AC compared to pre-AC (30.8% vs 20.2%). Postpolicy, adult MVT candidates were more likely to be removed due to death/too sick compared with liver-alone candidates (13.5% vs 5.6% at 90 days; 24.2% vs 9.8% at 1 year), whereas no excess waitlist mortality was observed among pediatric MVT candidates. Under current allocation policy, multivisceral candidates experience inferior waitlist outcomes compared with liver-alone candidates. Clarification of guidance around submission and approval of multivisceral exception requests may help improve their access to transplantation and achieve equity between multivisceral and liver-alone candidates on the liver transplant waiting list.

OPTN/SRTR 2022 Annual Data Report: COVID-19.

This chapter updates the COVID-19 chapter from the 2021 Annual Data Report with trends through November 12, 2022, and introduces trends in recovery and use of organs from donors with a positive COVID-19 test. Posttransplant mortality and graft failure, which remained a concern in all organs at the last report due to the Omicron variant wave, have returned to lower levels in the most recent available data through November 2022. Use of organs from donors with a positive COVID-19 test has grown, particularly after the first year of the pandemic. Mortality due to COVID-19 should continue to be monitored, but most other measures have sustained their recovery and may now be responding more to changes in policy than to ongoing concerns with COVID-19.

Association of Non-Standardized MELD Score Exceptions with Waitlist Mortality in Adult Liver Transplant Candidates.

In the US liver allocation system, non-standardized MELD exceptions increase the waitlist priority of candidates whose MELD scores are felt to underestimate their true medical urgency. We determined whether NSEs accurately depict pre-transplant mortality risk by performing mixed-effects Cox proportional hazards models and estimating concordance indices. We also studied the change in frequency of NSEs after the National Liver Review Board's (NLRB) implementation in May 2019. Between June 2016 and April 2022, 60,322 adult candidates were listed, of which 10,280 (17.0%) received an NSE at least once. The mean allocation MELD was 23.9, an increase of 12.0 points from the mean laboratory MELD of 11.9 (p < 0.001). A one-point increase in allocation MELD score due to an NSE was associated with, on average, a 2% reduction in hazard of pre-transplant death (cause-specific HR 0.98, 95% CI [0.96, 1.00], p = 0.02) compared to those with the same laboratory MELD. Laboratory MELD was more accurate than allocation MELD with NSEs in rank-ordering candidates (c-index 0.889 vs 0.857). The proportion of candidates with NSEs decreased significantly after the NLRB from 21.5% to 12.8% (p < 0.001). NSEs substantially increase the waitlist priority of candidates with objectively low medical urgency.

The Impact of Local Programmatic Decisions on Outcomes in Transplant-Listed Adults With Congenital Heart Disease.

BACKGROUND: We investigated variables impacting waitlist times and negative waitlist outcomes in adults with congenital heart disease (ACHD) who were waiting for orthotopic heart transplant (OHT) after the 2018 allocation change. METHODS: Adult candidates for OHT who were listed between 10/18/2018 and 12/31/2022 in the United Network for Organ Sharing database were categorized as ACHD vs non-ACHD. Waitlist time and time to upgrade for those upgraded into status 1-3 were compared by using rank-sum tests. Death/delisting for deterioration was assessed by using Fine-Gray subdistribution hazard ratios (SHRs). RESULTS: Of 15,424 OHT candidates, 589 (3.8%) were ACHD. ACHD vs non-ACHD candidates had less urgent status at initial listing (4.2% vs 4.7% listed at status 1; 17.2% vs 23.7% listed at status 2; P < 0.001), but not final listing (5.9% vs 7.6% final status 1; 35.6% vs 36.8% final status 2; P < 0.001). ACHD vs non-ACHD candidates upgraded into status 1 (65.0 vs 30.0 days; P = 0.09) and status 2 (113.0 vs 64.0 days; P = 0.003) spent longer times on the waitlist. ACHD vs non-ACHD candidates spent longer times waiting for an upgrade into status 1 (51.4 vs 17.6 days; P = 0.027) and status 2 (76.7 vs 34.7 days; P = 0.003). Once upgraded, there was no difference between groups in waitlist time to status 1 (9.7 vs 5.5 days = 0.66). ACHD vs non-ACHD candidates with a final status of 1 (20.0% vs 8.6%; SHR 2.47 [95%CI = 1.19-5.16]; P = 0.02) and 2 (8.9% vs 2.3%; SHR 3.59 [95%CI = 2.18-5.91]; P < 0.001) experienced higher rates of death and deterioration. CONCLUSIONS: ACHD candidates have longer waitlist times, have lower priority status at initial listing, wait longer for upgrades, and have higher mortality rates at the same final status as non-ACHD candidates, suggesting that they are being upgraded too late.

Severe hepatic encephalopathy with mechanical ventilation may inform waitlist priority in acute liver failure: A UNOS database analysis.

BACKGROUND & AIMS: Patients with acute liver failure (ALF) awaiting liver transplantation (LT) may develop multiorgan failure, but organ failure does not impact waitlist prioritization. The aim of this study was to examine the impact of organ failure on waitlist mortality risk and post LT outcomes in patients with ALF. METHODS: We studied adults waitlisted for ALF in the United Network for Organ Sharing (UNOS) database (2002-2019). Organ failures were defined using a previously described Chronic Liver Failure modified sequential organ failure score assessment adapted to UNOS data. Regression analyses of the primary endpoints, 30-day waitlist mortality (Competing risk), and post-LT mortality (Cox-proportional hazards), were performed. Latent class analysis (LCA) was used to determine the organ failures most closely associated with 30-day waitlist mortality. RESULTS: About 3212 adults with ALF were waitlisted, for hepatotoxicity (41%), viral (12%) and unspecified (36%) etiologies. The median number of organ failures was three (interquartile range 1-3). Having ≥3 organ failures (vs. ≤2) was associated with a sub hazard ratio (HR) of 2.7 (95%CI 2.2-3.4)) and a HR of 1.5 (95%CI 1.1-2.5)) for waitlist and post-LT mortality, respectively. LCA identified neurologic and respiratory failure as most impactful on 30-day waitlist mortality. The odds ratios for both organ failures (vs. neither) were higher for mortality 4.5 (95% CI 3.4-5.9) and lower for delisting for spontaneous survival .5 (95%CI .4-.7) and LT .6 (95%CI .5-.7). CONCLUSION: Cumulative organ failure, especially neurologic and respiratory failure, significantly impacts waitlist and post-LT mortality in patients with ALF and may inform risk-prioritized allocation of organs.

Pediatric heart transplantation: Looking forward after five decades of learning.

Heart transplantation has become the standard of care for pediatric patients with end-stage heart disease throughout the world. Since the first transplant was performed in 1967, the number of transplants has grown dramatically with 13 449 pediatric heart transplants being reported to The International Society of Heart and Lung Transplant (ISHLT) between January 1992 and June 30, 2018. Outcomes have consistently improved over the last few decades, specifically short-term outcomes. Most recent survival data demonstrate that recipients who survive to 1-year post-transplant have excellent long-term survival with more than 60% of those who were transplanted as infants being alive 25 years later. Nonetheless, the rates of graft loss beyond the first year have remained relatively constant over time; driven primarily by our poor understanding and lack of treatments for chronic allograft vasculopathy (CAV). Acute rejection, CAV, graft failure, and infection continue to be the major causes of death within the first 5 years post-transplant. In addition, renal dysfunction, malignancy, and the need for re-transplantation remain as significant issues that require close follow-up. Looking forward, key challenges include improving donor utilization rates (including donation after cardiac death (DCD) and the use of ex vivo perfusion devices), the development of non-invasive biomarkers for rejection, efforts to mitigate the long-term effects of immunosuppression, and prevention of CAV. It is not possible to cover the entire evolution of pediatric heart transplantation over the last five decades, but in this review, we hope to touch on key observations, lessons learned, and practice changes that have advanced the field, as well as glance ahead to the next decade.

Optimizing pediatric liver transplantation: Evaluating the impact of donor age and graft type on patient survival outcome.

BACKGROUND: We examined the combined effects of donor age and graft type on pediatric liver transplantation outcomes with an aim to offer insights into the strategic utilization of these donor and graft options. METHODS: A retrospective analysis was conducted using a national database on 0-2-year-old (N = 2714) and 3-17-year-old (N = 2263) pediatric recipients. These recipients were categorized based on donor age (≥40 vs <40 years) and graft type. Survival outcomes were analyzed using the Kaplan-Meier and Cox proportional hazards models, followed by an intention-to-treat (ITT) analysis to examine overall patient survival. RESULTS: Living and younger donors generally resulted in better outcomes compared to deceased and older donors, respectively. This difference was more significant among younger recipients (0-2 years compared to 3-17 years). Despite this finding, ITT survival analysis showed that donor age and graft type did not impact survival with the exception of 0-2-year-old recipients who had an improved survival with a younger living donor graft. CONCLUSIONS: Timely transplantation has the largest impact on survival in pediatric recipients. Improving waitlist mortality requires uniform surgical expertise at many transplant centers to provide technical variant graft (TVG) options and shed the conservative mindset of seeking only the "best" graft for pediatric recipients.

Burden of Portal Hypertension Complications Is Greater in Liver Transplant Wait-Listed Registrants with End-Stage Liver Disease and Type 2 Diabetes.

BACKGROUND AND AIMS: Impact of type 2 diabetes mellitus (T2DM) in patients with end-stage liver disease (ESLD) awaiting liver transplantation (LT) remains poorly defined. The objective of the present study is to evaluate the relationship between T2DM and clinical outcomes among patients with LT waitlist registrants. We hypothesize that the presence of T2DM will be associated with worse clinical outcomes. METHODS: 593 patients adult (age 18 years or older) who were registered for LT between 1/2010 and 1/2017 were included in this retrospective analysis. The impact of T2DM on liver-associated clinical events (LACE), survival, hospitalizations, need for renal replacement therapy, and likelihood of receiving LT were evaluated over a 12-month period. LACE was defined as variceal hemorrhage, hepatic encephalopathy, and ascites. Kaplan-Meier and Cox regression analysis were used to determine the association between T2DM and clinical outcomes. RESULTS: The baseline prevalence of T2DM was 32% (n = 191) and patients with T2DM were more likely to have esophageal varices (61% vs. 47%, p = 0.002) and history of variceal hemorrhage (23% vs. 16%, p = 0.03). The presence of T2DM was associated with increased risk of incident ascites (HR 1.91, 95% CI 1.11, 3.28, p = 0.019). Patients with T2DM were more likely to require hospitalizations (56% vs. 49%, p = 0.06), hospitalized with portal hypertension-related complications (22% vs. 14%; p = 0.026), and require renal replacement therapy during their hospitalization. Patients with T2DM were less likely to receive a LT (37% vs. 45%; p = 0.03). Regarding MELD labs, patients with T2DM had significantly lower bilirubin at each follow-up; however, no differences in INR and creatinine were noted. CONCLUSION: Patients with T2DM are at increased risk of clinical outcomes. This risk is not captured in MELD score, which may potentially negatively affect their likelihood of receiving LT.

OPTN/SRTR 2021 Annual Data Report: COVID-19.

This chapter updates the COVID-19 chapter from the 2020 Annual Data Report with trends through February 12, 2022, and introduces trends in COVID-19-specific cause of death on the waiting list and posttransplant. Transplant rates remain at or above prepandemic levels for all organs, indicating a sustained transplantation system recovery following the initial 3-month disruption due to the onset of the pandemic. Posttransplant mortality and graft failure remain a concern in all organs, with rates surging corresponding to waves of the pandemic. Waitlist mortality due to COVID-19 is also a concern, particularly among kidney candidates. While the recovery of the transplantation system has been sustained in the second year of the pandemic, ongoing efforts should focus on reducing posttransplant and waitlist mortality due to COVID-19, and graft failure.

Artificial intelligence, machine learning, and deep learning in liver transplantation.

Liver transplantation (LT) is a life-saving treatment for individuals with end-stage liver disease. The management of LT recipients is complex, predominantly because of the need to consider demographic, clinical, laboratory, pathology, imaging, and omics data in the development of an appropriate treatment plan. Current methods to collate clinical information are susceptible to some degree of subjectivity; thus, clinical decision-making in LT could benefit from the data-driven approach offered by artificial intelligence (AI). Machine learning and deep learning could be applied in both the pre- and post-LT settings. Some examples of AI applications pre-transplant include optimising transplant candidacy decision-making and donor-recipient matching to reduce waitlist mortality and improve post-transplant outcomes. In the post-LT setting, AI could help guide the management of LT recipients, particularly by predicting patient and graft survival, along with identifying risk factors for disease recurrence and other associated complications. Although AI shows promise in medicine, there are limitations to its clinical deployment which include dataset imbalances for model training, data privacy issues, and a lack of available research practices to benchmark model performance in the real world. Overall, AI tools have the potential to enhance personalised clinical decision-making, especially in the context of liver transplant medicine.

Natural history of NASH cirrhosis in liver transplant waitlist registrants.

BACKGROUND AND AIMS: Non-alcoholic steatohepatitis (NASH) cirrhosis is rapidly growing as an indication for liver transplant(ation) (LT). However, the natural history of NASH cirrhosis among LT waitlist registrants has not been established. The present study aimed to define the natural history of NASH cirrhosis using the Scientific Registry of Transplant Recipients database. METHODS: The study cohort comprised patients registered on the LT waitlist between 1/1/2016 to 12/31/2021. The primary outcomes included probability of LT and waitlist mortality, comparing NASH (n = 8,120) vs. non-NASH (n = 21,409) cirrhosis. RESULTS: Patients with NASH cirrhosis were listed with lower model for end-stage liver disease (MELD) scores despite bearing a greater burden of portal hypertension, especially at lower MELD scores. The overall transplant probability in LT waitlist registrants with NASH [vs. non-NASH] cirrhosis was significantly lower at 90 days (HR 0.873, p <0.001) and 1 year (HR 0.867, p <0.001); this was even more pronounced in patients with MELD scores >30 (HR 0.705 at 90 days and HR 0.672 at 1 year, p <0.001 for both). Serum creatinine was the key contributor to MELD score increases leading to LT among LT waitlist registrants with NASH cirrhosis, while bilirubin was in patients with non-NASH cirrhosis. Finally, waitlist mortality at 90 days (HR 1.15, p <0.001) and 1 year (1.25, p <0.001) was significantly higher in patients with NASH cirrhosis compared to those with non-NASH cirrhosis. These differences were more pronounced in patients with lower MELD scores at the time of LT waitlist registration. CONCLUSIONS: LT waitlist registrants with NASH cirrhosis are less likely to receive a transplant compared to patients with non-NASH cirrhosis. Serum creatinine was the major contributor to MELD score increases leading to LT in patients with NASH cirrhosis. IMPACT AND IMPLICATIONS: This study provides important insights into the distinct natural history of non-alcoholic steatohepatitis (NASH) cirrhosis among liver transplant (LT) waitlist registrants, revealing that patients with NASH cirrhosis face lower odds of transplantation and higher waitlist mortality than those with non-NASH cirrhosis. Our study underscores the significance of serum creatinine as a crucial contributor to model for end-stage liver disease (MELD) score in patients with NASH cirrhosis. These findings have substantial implications, emphasizing the need for ongoing evaluation and refinement of the MELD score to more accurately capture mortality risk in patients with NASH cirrhosis on the LT waitlist. Moreover, the study highlights the importance of further research investigating the impact of the implementation of MELD 3.0 across the US on the natural history of NASH cirrhosis.

Revised Heart Allocation Policy Improved Waitlist Mortality and Waiting Time With Maintained Outcomes in En-Bloc Heart-Lung Transplant Candidates and Recipients.

The revised United Network for Organ Sharing heart allocation policy was implemented in October 2018. Using a national transplant database, this study evaluated the transplant rate, waitlist mortality, waiting time, and other outcomes of en-bloc heart-lung transplantation recipients. Adult patients registered on the national database for heart-lung transplants before and after the policy update were selected as cohorts. Baseline characteristics, transplant rates, waitlist mortality, waiting times, and other outcomes were compared between the two periods. In total, 370 patients were registered for heart-lung transplants during the pre- and post-periods. There were significantly higher transplant rates, shorter waitlist times, and substantially reduced waitlist mortality in the post-period. Registered patients waitlisted in the post-period had significantly higher utilization of intra-aortic balloon pumps, extracorporeal membrane oxygenation, and overall life support, including ventricular assist devices. Transplant recipients had significantly longer ischemic times, increased transport distances, and shorter waiting times before transplantation in the post-policy period. Transplant recipients held similar short-term survival before and after the policy change (log-rank test, p = 0.4357). Therefore, the revised policy significantly improved access to en-bloc heart-lung allografts compared with the prior policy, with better waitlist outcomes and similar post-transplant outcomes.

Predicted Impact of the Model for End-Stage Liver Disease 3.0 in a Region Suffering Severe Organ Shortage.

BACKGROUND: The model for end-stage liver disease 3.0 (MELD3.0) is expected to address the flaws of the current allocation system for deceased donor liver transplantation (DDLT). We aimed to validate MELD3.0 in the Korean population where living donor liver transplantation is predominant due to organ shortages. METHODS: Korean large-volume single-centric waitlist data were merged with the Korean Network for Organ Sharing (KONOS) data. The 90-day mortality was compared between MELD and MELD3.0 using the C-index in 2,353 eligible patients registered for liver transplantation. Patient numbers and outcomes were compared based on changes in KONOS-MELD categorization using MELD3.0. Possible gains in MELD points and reduced waitlist mortality were analyzed. RESULTS: MELD3.0 performed better than MELD (C-index 0.893 for MELD3.0 vs. 0.889 for MELD). When stratified according to the KONOS-MELD categories, 15.9% of the total patients and 35.2% of the deceased patients were up-categorized using MELD3.0 versus MELD categories. The mean gain of MELD points was higher in women (2.6 ± 2.1) than men (2.1 ± 1.9, P < 0.001), and higher in patients with severe ascites (3.3 ± 1.8) than in controls (1.9 ± 1.8, P < 0.001); however, this trend was not significant when the MELD score was higher than 30. When the possible increase in DDLT chance was calculated via up-categorizing using MELD3.0, reducible waitlist mortality was 2.7%. CONCLUSION: MELD3.0 could predict better waitlist mortality than MELD; however, the merit for women and patients with severe ascites is uncertain, and reduced waitlist mortality from implementing MELD3.0 is limited in regions suffering from organ shortage, as in Korea.

Association of the psoas muscle index with the survival of patients on a waiting list for lung transplantation: a Japanese single-institution study.

PURPOSES: Some predictive markers of death have been reported for patients on the waiting list for lung transplantation (LTx). We assessed whether or not the preoperative psoas muscle index (PMI) correlates with waitlist mortality. METHODS: In 81 patients with end-stage lung disease on the waiting list for LTx between 2011 and 2020 at Osaka University Hospital, we examined the association between baseline characteristics, including the diagnosis, respiratory function test results, blood collection items, steroid use, and psoas muscle mass on computed tomography, and survival during the waiting period using Kaplan-Meier curves and Cox proportional hazard regression models. RESULTS: Thirty-three patients (41%) died during follow-up. Univariate and multivariate analyses showed that patients with a low PMI had a higher rate of death during follow-up than those with a high PMI (p < 0.0001 and 0.0002, respectively). In addition, a diagnosis of interstitial pneumonia (hazard ratio 3.30, 95% confidence interval 1.52-7.17, p = 0.0025) and low albumin level (hazard ratio 2.21, 95% confidence interval 1.02-4.80, p = 0.0449) were also significant predictors of survival. CONCLUSION: A low PMI at registration is associated with a decreased survival time among LTx candidates and it may be a predictive factor of mortality in patients waiting for LTx.

HCV-Positive Allograft Use in Heart Transplantation Is Associated With Increased Access to Overdose Donors and Reduced Waitlist Mortality Without Compromising Outcomes.

BACKGROUND: Because of ongoing shortages of donors for heart transplantation, the use of donor candidates whose availabilities are the result of drug overdoses (ODs) has become increasingly prevalent, even though these donors carry a high preponderance of the now curable hepatitis C virus (HCV). This study investigated temporal trends and regional variabilities in HVC-positive (HCV+) allograft use in heart transplantation and assessed the relationship between the use of HCV+ graft donors and the use of OD donors as well as assessing waitlist and post-transplant outcomes. METHODS AND RESULTS: A retrospective review of the United Network for Organ Sharing database assessed adults listed for heart transplantation. Patients were stratified both temporally into pre-HCV and HCV eras related to HCV+ graft use trends and regionally by degree of HCV+ allograft use. Regions of high HCV+ donor use were associated with an increase in OD donor access by 7.8% across eras compared to 0.4% in low HCV+ donor-use regions. One-year waitlist mortality decreased from 4.7% to 2.5% across eras in high HCV+ donor-use regions (P= 0.001) and remained roughly the same as before in low HCV+ donor-use regions (3.0% vs 2.4%; P= 0.244.). Post-transplant survival at 1 year remained similar across eras. CONCLUSIONS: HCV+ donor allograft use can help to optimize donor use, decreasing waitlist mortality without compromising early survival. Ongoing assessment is essential to ensure long-term safety and efficacy of using HCV+ donors.

The volume-outcomes relationship in donation after circulatory death liver transplantation.

BACKGROUND: Donation after circulatory death (DCD) liver transplantation (LT) has become an effective mechanism for expanding the donor pool and decreasing waitlist mortality. However, it is unclear if low-volume DCD centers can achieve comparable outcomes to high-volume centers. METHODS: From 2011 to 2019 utilizing the United Network for Organ Sharing (UNOS) database, liver transplant centers were categorized into tertiles based on their annual volume of DCD LTs. Donor selection, recipient selection, and survival outcomes were compared between very-low volume (VLV, n = 1-2 DCD LTs per year), low-volume (LV, n = 3-5), and high-volume (HV, n > 5) centers. RESULTS: One hundred and ten centers performed 3273 DCD LTs. VLV-centers performed 339 (10.4%), LV-centers performed 627 (19.2%), and HV-centers performed 2307 (70.4%) LTs. 30-day, 90-day, and 1-year patient and graft survival were significantly increased at HV-centers (all P < .05). Recipients at HV-centers had shorter waitlist durations (P < .01) and shorter hospital lengths of stay (P < .01). On multivariable regression, undergoing DCD LT at a VLV-center or LV-center was associated with increased 1-year patient mortality (VLV-OR:1.73, 1.12-2.69) (LV-OR: 1.42, 1.01-2.00) and 1-year graft failure (VLV-OR: 1.79, 1.24-2.58) (LV-OR: 1.28, .95-1.72). DISCUSSION: Increased annual DCD liver transplant volume is associated with improved patient and graft survival.

Validating a novel score based on interaction between ACLF grade and MELD score to predict waitlist mortality.

BACKGROUND & AIMS: Among candidates listed for liver transplant (LT), the model for end-stage liver disease (MELD) score may not capture acute-on-chronic liver failure (ACLF) severity. Data on the interaction between ACLF and MELD score in predicting waitlist mortality are scarce. METHODS: We analyzed the UNOS database (01/2002 to 06/2018) for LT listings in adults with cirrhosis and ACLF (without hepatocellular carcinoma). ACLF grades 1, 2, 3a, and 3b- were defined using the modified EASL-CLIF criteria. RESULTS: Of 18,416 candidates with ACLF at listing (mean age 54 years, 69% males, 63% Caucasians), 90-day waitlist mortality (patient death or being too sick for LT) was 21.6% (18%, 20%, 25%, and 39% for ACLF grades 1, 2, 3a, and 3b, respectively). Using a Fine and Gray regression model, we identified an interaction between MELD and ACLF grade, with ACLF having a higher impact at lower MELD scores. Other variables included candidate's age, sex, liver disease etiology, listing MELD, ACLF grade, obesity, and performance status. A score developed using parameter estimates from the interaction model on the derivation cohort (n = 9,181) stratified the validation cohort (n = 9,235) into quartiles: Q1 (score <10.42), Q2 (10.42-12.81), Q3 (12.82-15.50), and Q4 (>15.50). Waitlist mortality increased with each quartile from 13%, 18%, 23%, and 36%, respectively. Observed vs. expected waitlist mortality deciles in the validation cohort showed good calibration (goodness of fit p = 0.98) and correlation (R = 0.99). CONCLUSION: Among selected candidates who have ACLF at listing, MELD score and ACLF interact in predicting cumulative risk of 90-day waitlist mortality, with higher impact of ACLF grade at lower listing MELD score. Validating these findings in large prospective studies will support consideration of both MELD and ACLF when prioritizing transplant candidates and allocating liver grafts. LAY SUMMARY: In patients with cirrhosis listed for liver transplantation, the presence of multiorgan failure, a condition referred to as acute-on-chronic liver failure, is associated with high waiting list mortality rates. Current organ allocation policy disadvantages patients with this condition. This study describes and validates a new scoring method that performs better than the currently available scoring systems. Further validation of this approach may reduce the deaths of patients with cirrhosis and acute-on-chronic liver failure on the transplant waiting list.

Mortality Determinants in Children with Biliary Atresia Awaiting Liver Transplantation.

OBJECTIVE: To determine risk factors for waitlist mortality in children with biliary atresia listed for liver transplantation. STUDY DESIGN: There were 2704 children with biliary atresia (<12 years of age) listed for a first liver transplant (2002-2018) in the United Network for Organ Sharing database. Fine-Gray regression models for competing risks analysis (main risk = waitlist mortality/delisting owing to too sick; competing risk = liver transplantation) were implemented to identify risk factors for waitlist mortality. RESULTS: The median waitlist time was 83 days (IQR, 34-191). The cumulative incidence of waitlist mortality was 5.2%. In multivariable analysis (n = 2253), increasing bilirubin level (P < .001), portal vein thrombosis (P = .03), and ventilator dependence (P < .001) at listing were associated with a higher risk, whereas weight ≥10 kg at listing (P = .009) was associated with a lower risk of waitlist mortality. When ascites at listing was included in multivariable analysis (n = 1376), it was associated with a higher risk for the composite outcome (P = .03). Encephalopathy at listing was not associated with waitlist mortality (n = 1376; P = .15). CONCLUSIONS: These parameters can be used to more objectively prioritize children with biliary atresia awaiting liver transplantation and identify children with biliary atresia-related end-stage liver disease at high-risk of mortality.

Patient-reported dyspnea and health predict waitlist mortality in patients waiting for lung transplantation in Japan.

BACKGROUND: Waitlist mortality due to donor shortage for lung transplantation is a serious problem worldwide. Currently, the selection of recipients in Japan is mainly based on the registration order. Hence, scientific evidence for risk stratification regarding waitlist mortality is urgently needed. We hypothesized that patient-reported dyspnea and health would predict mortality in patients waitlisted for lung transplantation. METHODS: We analyzed factors related to waitlist mortality using data of 203 patients who were registered as candidates for lung transplantation from deceased donors. Dyspnea was evaluated using the modified Medical Research Council (mMRC) dyspnea scale, and the health status was determined with St. George's Respiratory Questionnaire (SGRQ). RESULTS: Among 197 patients who met the inclusion criteria, the main underlying disease was interstitial lung disease (99 patients). During the median follow-up period of 572 days, 72 patients died and 96 received lung transplantation (69 from deceased donors). Univariable competing risk analyses revealed that both mMRC dyspnea and SGRQ Total score were significantly associated with waitlist mortality (p = 0.003 and p < 0.001, respectively) as well as age, interstitial lung disease, arterial partial pressure of carbon dioxide, and forced vital capacity. Multivariable competing risk analyses revealed that the mMRC and SGRQ score were associated with waitlist mortality in addition to age and interstitial lung disease. CONCLUSIONS: Both mMRC dyspnea and SGRQ score were significantly associated with waitlist mortality, in addition to other clinical variables such as patients' background, underlying disease, and pulmonary function. Patient-reported dyspnea and health may be measured through multi-dimensional analysis (including subjective perceptions) and for risk stratification regarding waitlist mortality.