Liver transplantation cost in the model for end-stage liver disease era: looking beyond the transplant admission

Changing Landscape of Open Offers in Liver Transplantation in the Machine Perfusion Era: Exposure, Equity, and Economics

BACKGROUND

Open offers (OOs) in liver transplantation (LT) result from bypassing the traditional allocation system. Little is known about the trends of OOs or the differences in donor/recipient characteristics compared to traditionally placed organs. We aim to quantify modern practices regarding OOs and understand NMP's impact, focusing on social determinants of health (SDH), cost, and graft-associated risk.

METHODS

LTs from 1/1/2018 to 12/31/2023 at a single center were included. NMP was implemented on 10/1/2022. The CDC (centers for disease control)-validated social vulnerability index (SVI) and donor risk index (DRI) were calculated. Comprehensive complications index (CCI), Clavien-Dindo grades, patient and graft survival, and costs of transplantation were included.

RESULTS

1162 LTs were performed; 193 (16.8%) from OOs. OOs were more common in the post-NMP era (26.5% vs. 13.3%, p < 0.001). Pre-NMP, patients receiving OOs had longer waitlist times (118 vs. 69 days, p < 0.001), lower MELDs (17 vs. 25 points, p < 0.001), and riskier grafts (DRI = 1.8 vs. 1.6, p = 0.004) compared to standard offers. Post-NMP, recipients receiving OOs demonstrated no difference in waitlist time (27 vs. 20 days, p = 0.21) or graft risk (DRI = 2.03 vs. 2.23, p = 0.17). OO recipient MELD remained lower (16 vs. 22, p < 0.001). OO recipients were more socially vulnerable (SVI), pre-NMP (0.41 vs. 0.36, p = 0.004), but less vulnerable after NMP (0.23 vs. 0.36, p = 0.019). Despite increased graft risk, pre-NMP OO-LTs were less expensive in the 90-day global period ($154 939 vs. $178 970, p = 0.002) and the 180-days pre-/post-LT ($208 807 vs. $228 091, p = 0.021). Cost trends remained similar with NMP.

CONCLUSION

OOs are increasingly utilized and may be appealing due to demonstrated cost reductions even with NMP. Although most OO-related metrics in our center remain similar before and after machine perfusion, programs should take caution that increasing use does not worsen organ access for socially vulnerable populations.

Changing landscape of liver transplant in the United States-time for a new innovative way to define and utilize the "non-standard liver allograft"-a proposal

Since the first liver transplant was performed over six decades ago, the landscape of liver transplantation in the US has seen dramatic evolution. Numerous advancements in perioperative and operative techniques have resulted in major improvements in graft and patient survival rates. Despite the increase in transplants performed over the years, the waitlist mortality rate continues to remain high. The obesity epidemic and the resultant metabolic sequelae continue to result in more marginal donors and challenging recipients. In this review, we aim to highlight the changing characteristics of liver transplant recipients and liver allograft donors. We focus on issues relevant in successfully transplanting a high model for end stage liver disease recipient. We provide insights into the current use of terms and definitions utilized to discuss marginal allografts, discuss the need to look into more consistent ways to describe these organs and propose two new concepts we coin as "Liver Allograft Variables" (LAV) and "Liver Allograft Composite Score" (LACS) for this. We discuss the development of spectrum of risk indexes as a dynamic tool to characterize an allograft in real time. We believe that this concept has the potential to optimize the way we allocate, utilize and transplant livers across the US.

A decade of liver transplantation in Mongolia: Economic insights and cost analysis

BACKGROUND

Mongolia introduced liver transplantation 10 years ago, becoming the 46th country globally to successfully perform this procedure. However, the cost of liver transplantation treatment remains expensive in Mongolia, a lower-middle-income country. Thus, the need to calculate the cost of liver transplants, a highly-valued treatment, forms the basis for this study.

METHODS

This study employed a retrospective research design with secondary data. The primary dataset comprised 143 cases of liver transplantation performed at the First Central Hospital of Mongolia between 2011 and 2021.

RESULTS

The average cost of a liver transplant in Mongolia is $39,589 ± 10,308, with 79.6% being direct costs and 20.4% indirect costs. Of the direct costs, 71% were attributed to drugs, medical equipment, and supplies, while 8.6% accounted for salaries. In terms of the Model of End-Stage Liver Disease (MELD) scores, treatment costs were $39,205 ± 10,786 for patients with MELD ≤ 14 points, $40,296 ± 1,517 for patients with MELD 15-20 points, $39,352 ± 8,718 for patients with MELD 21-27 points, and $39,812 ± 9,954 for patients with MELD ≤ 28 points, with no statistically significant difference (P = 0.953). However, when calculated according to the Child-Turcotte-Pugh (CTP) score classification, treatment cost for CTP-A patients was $35,970 ± 6,879, for CTP-B patients $41,951 ± 12,195, and for CTP-C patients $37,396 ± 6,701, which was statistically significant (Р=0.015).

CONCLUSION

The average cost of liver transplantation treatment in Mongolia was $39,589. Despite medical facilities' capacity to treat up to 50 patients annually, the waiting list exceeds 300 individuals, highlighting significant unmet healthcare needs.

Despite Increasing Costs, Perfusion Machines Expand the Donor Pool of Livers and Could Save Lives

INTRODUCTION

Liver transplantation is a highly successful treatment for liver failure and disease. However, demand continues to outstrip our ability to provide transplantation as a treatment. Many livers initially considered for transplantation are not used because of concerns about their viability or logistical issues. Recent clinical trials have shown discarded livers may be viable if they undergo machine perfusion, which allows a more objective assessment of liver quality.

METHODS

Using the Scientific Registry of Transplant Recipients dataset, we examined discarded and unretrieved organs to determine their eligibility for perfusion. We then used a Markov decision-analytic model to perform a cost-effectiveness analysis of two competing transplant strategies: Static Cold Storage (SCS) alone versus Static Cold Storage and Normothermic Machine Perfusion (NMP) of discarded organs.

RESULTS

The average predicted successful transplants after perfusion was 385, representing a 5.8% increase in the annual yield of liver transplants. Our cost-effectiveness analysis found that the SCS strategy generated 4.64 quality-adjusted life years (QALYs) and cost $479,226. The combined SCS + NMP strategy generated 4.72 QALYs and cost $481,885. The combined SCS + NMP strategy had an incremental cost-effectiveness ratio of $33,575 per additional QALY over the 10-year study horizon.

CONCLUSIONS

Machine perfusion of livers currently not considered viable for transplant could increase the number of transplantable grafts by approximately 5% per year and is cost-effective compared to Static Cold Storage alone.

Variance in Hospital Charges and in-Patient Care for Liver Transplants: Examining Non-Clinical Predictors and Implications

The significant and apparent variance in hospital charges and inpatient care in the U.S. has perplexed the general public including many stakeholders such as the healthcare regulators and insurers. While the clinical side of inpatient care has been undergoing tremendous progress and standardization, the overall cost of healthcare has been ballooning. The purpose of this research is to conduct statistical analyses that reveal the sources of variance in hospital charges and inpatient care using the annual data from the AHRQ's (Agency for Healthcare Research and Quality) HCUP's (Hospital Cost and Utilization Project) NIS (National Inpatient Sample) database. Our focus is on non-clinical factors such as patient age, gender, income and race and hospital location data as independent variables to investigate their impact on hospital charges and inpatient care. Our research sample is the liver transplant cases in 2019 sampled in the NIS 2019 database. Our regression results show patient age and gender as well as payer affect the number of diagnoses; and hospital charges are affected by age, payer and hospital location. Number of procedures was not affected by any of these non-clinical factors except the hospital location. Implications suggest that there is more room for standardization of the number of diagnoses and procedures across regions in the US. Results also reveal that race and income do not have any effect on hospital charges and inpatient care. Our study contributes to an empirical understanding of non-clinical factors in the explanation of variance in hospital charges and inpatient care.

Burden of early hospitalization after simultaneous liver-kidney transplantation: Results from the US Multicenter SLKT Consortium

The burden of early hospitalization (within 6 months) following simultaneous liver-kidney transplant (SLKT) is not known. We examined risk factors associated with early hospitalization after SLKT and their impact on patient mortality conditional on 6-month survival. We used data from the US Multicenter SLKT Consortium cohort study of all adult SLKT recipients between 2002 and 2017 who were discharged alive following SLKT. We used Poisson regression to model rates of early hospitalizations after SLKT. Cox regression was used to identify risk factors associated with mortality conditional on survival at 6 months after SLKT. Median age (N = 549) was 57.7 years (interquartile range [IQR], 50.6-63.9) with 63% males and 76% Whites; 33% had hepatitis C virus, 20% had non-alcohol-associated fatty liver disease, 23% alcohol-associated liver disease, and 24% other etiologies. Median body mass index (BMI) and Model for End-Stage Liver Disease-sodium scores were 27.2 kg/m2 (IQR, 23.6-32.2 kg/m2 ) and 28 (IQR, 23-34), respectively. Two-thirds of the cohort had at least one hospitalization within the first 6 months of SLKT. Age, race, hospitalization at SLKT, diabetes mellitus, BMI, and discharge to subacute rehabilitation (SAR) facility after SLKT were independently associated with a high incidence rate ratio of early hospitalization. Number of hospitalizations within the first 6 months did not affect conditional survival. Early hospitalizations after SLKT were very common but did not affect conditional survival. Although most of the risk factors for early hospitalization were nonmodifiable, discharge to SAR after initial SLKT was associated with a significantly higher incidence rate of early hospitalization. Efforts and resources should be focused on identifying SLKT recipients at high risk for early hospitalization to optimize their predischarge care, discharge planning, and long-term follow-up.

Intensive care unit readmission in adult Egyptian patients undergoing living donor liver transplant: A single-centre retrospective cohort study

BACKGROUND

Patients who undergo living donor liver transplantation (LDLT) may suffer complications that require intensive care unit (ICU) readmission.

AIM

To identify the incidence, causes, and outcomes of ICU readmission after LDLT.

METHODS

A retrospective cohort study was conducted on patients who underwent LDLT. The collected data included patient demographics, preoperative characteristics, intraoperative details; postoperative stay, complications, causes of ICU readmission, and outcomes. Patients were divided into two groups according to ICU readmission after hospital discharge. Risk factors for ICU readmission were identified in univariate and multivariate analyses.

RESULTS

The present study included 299 patients. Thirty-one (10.4%) patients were readmitted to the ICU after discharge. Patients who were readmitted to the ICU were older in age (53.0 ± 5.1 vs 49.4 ± 8.8, P = 0.001) and had a significantly higher percentage of women (29% vs 13.4%, P = 0.032), diabetics (41.9% vs 24.6%, P = 0.039), hypertensives (22.6% vs 6.3%, P = 0.006), and renal (6.5% vs 0%, P = 0.010) patients as well as a significantly longer initial ICU stay (6 vs 4 d, respectively, P < 0.001). Logistic regression analysis revealed that significant independent risk factors for ICU readmission included recipient age (OR = 1.048, 95%CI = 1.005-1.094, P = 0.030) and length of initial hospital stay (OR = 0.836, 95%CI = 0.789-0.885, P < 0.001).

CONCLUSION

The identification of high-risk patients (older age and shorter initial hospital stay) before ICU discharge may help provide optimal care and tailor follow-up to reduce the rate of ICU readmission.

Hospitalisation costs of primary liver cancer in Australia: evidence from a data-linkage study

ObjectiveThis study aimed to estimate the public hospital costs associated with primary liver cancer (PLC) in the first and second years following the cancer diagnosis.MethodsThis study linked administrative datasets of patients diagnosed with PLC in Victoria, Australia, from January 2008 to December 2015. The health system perspective was adopted to estimate the direct healthcare costs associated with PLC, based on inpatient and emergency costs. Costs were estimated for the first 12 months and 12-24 months after the PLC diagnosis and expressed in 2017 Australian dollars (A$). The cost estimated was then extrapolated nationally. The linear mixed model with a Box-Cox transformation of the costs was used to explore the relationship between costs and patients' sociodemographic and clinical characteristics.ResultsFor the first 12 months, the total and annual per-patient cost was A$211.4 million and A$63 664, respectively. Costs for the subsequent year were A$49.7 million and A$46 751, respectively. Regarding the cost extrapolation to Australia, the total cost was A$137 million for the first 12 months after notification and A$42.6 million for the period from 12 to 24 months. Higher costs per episode of care were mostly associated with older age, hepatocellular carcinoma type of PLC, metropolitan hospitals, and Asian birth region.ConclusionThis study showed the public hospital admission and emergency costs associated with PLC and the substantial economic burden this cancer has placed on the Australian health system.

Extensive Health Care Utilization and Costs of an Early Liver Transplantation Program for Alcoholic Hepatitis

Early liver transplantation (LT) for severe alcoholic hepatitis (AH) is a rescue therapy for highly selected patients with favorable psychosocial profiles not responding to medical therapy. Given the expected increase of AH candidate referrals requiring complex care and comprehensive evaluations, increased workload and cost might be expected from implementing an early LT program for AH but have not been determined. Some centers may also view AH as a strategy to expeditiously increase LT volume and economic viability. The aim of this study was to determine the health care use and costs of an early LT program for AH. Analyses of prospective databases of AH, interhospital transfers, and the hospital accounting system at a single center were performed from July 2011 to July 2016. For 5 years, 193 patients with severe AH were evaluated at our center: 143 newly referred transfers and 50 direct admissions. Annual increases of 13% led to 2 to 3 AH transfers/month and AH becoming the top reason for transfer. There were 169 (88%) nonresponders who underwent psychosocial evaluations; 15 (9%) underwent early LT. The median cost of early LT was $297,422, which was highly correlated with length of stay (r = 0.83; P < 0.001). Total net revenue of the program from LT admission to 90 days after LT was -$630,305 (-5.0% revenue), which was inversely correlated with MELD score (r = -0.70; P = 0.004) and yielded lower revenue than a contemporaneous LT program for acute-on-chronic liver failure (ACLF; $118,168; 1.4% revenue; P = 0.001). The health care use and costs of an early LT program for AH are extensive and lifesaving with marginally negative net revenue. Significantly increasing care of severe AH patients over 5 years resulted in increased LT volume, but at a lower rate than ACLF, and without improving economic outcomes due to high MELD and prolonged length of stay.

Determinants of length of stay after pediatric liver transplantation

BACKGROUND

We sought to identify factors that are associated with LOS following pediatric (<18 years) liver transplantation in order to provide personalized counseling and discharge planning for recipients and their families.

METHODS

We identified 2726 infants (≤24 months) and 3210 children (>24 months) who underwent pediatric liver-only transplantation from 2002-2017 using the Scientific Registry of Transplant Recipients. We used multilevel multivariable negative binomial regression to analyze associations between LOS and recipient and donor characteristics and calculated the MLOSR to quantify heterogeneity in LOS across centers.

RESULTS

In infants, the median LOS (IQR) was 19 (13-32) days. Hospitalization prior to transplant (ICU ratio:1.46 1.591.70 ; non-ICU ratio:1.08 1.161.23 ), public insurance (ratio:1.03 1.091.15 ), and a segmental graft (ratio:1.08 1.151.22 ) were associated with a longer LOS; thus, we would expect a 1.59-fold longer LOS in an infant admitted to the ICU compared to a non-hospitalized infant with similar characteristics. In children, the median LOS (IQR) was 13 (9-21) days. Hospitalization prior to transplant (ICU ratio:1.49 1.621.77 ; non-ICU ratio:1.34 1.441.56 ), public insurance (ratio:1.02 1.071.13 ), a segmental graft (ratio:1.20 1.271.35 ), a living donor graft (ratio:1.27 1.381.51 ), and obesity (ratio:1.03 1.101.17 ) were associated with a longer LOS. The MLOSR was 1.25 in infants and 1.26 in children, meaning if an infant received a transplant at another center with a longer LOS, we would expect a 1.25-fold difference in LOS driven by center practices alone.

CONCLUSIONS

While center-level practices account for substantial variation in LOS, consideration of donor and recipient factors can help clinicians provide more personalized counseling for families of pediatric liver transplant candidates.

EVALUATION AND SELECTION OF CANDIDATES FOR LIVER TRANSPLANTATION: AN ECONOMIC PERSPECTIVE

BACKGROUND

Over the next 20 years, the number of patients on the waiting list for liver transplantation (LTx) is expected to increase by 23%, while pre-LTx costs should raise by 83%.

OBJECTIVE

To evaluate direct medical costs of the pre-LTx period from the perspective of a tertiary care center.

METHODS

The study included 104 adult patients wait-listed for deceased donor LTx between October 2012 and May 2016 whose treatment was fully provided at the study transplant center. Clinical and economic data were obtained from electronic medical records and from a hospital management software. Outcomes of interest and costs of patients on the waiting list were compared through the Kruskal-Wallis test. A generalized linear model with logit link function was used for multivariate analysis. P-values <0.05 were considered statistically significant.

RESULTS

The costs of patients who underwent LTx ($8,879.83; 95% CI 6,735.24-11,707.27; P<0.001) or who died while waiting ($6,464.73; 95% CI 3,845.75-10,867.28; P=0.04) were higher than those of patients who were excluded from the list for any reason except death ($4,647.78; 95% CI 2,469.35-8,748.04; P=0.254) or those who remained on the waiting list at the end of follow-up.

CONCLUSION

Although protocols of inclusion on the waiting list vary among transplant centers, similar approaches exist and common problems should be addressed. The results of this study may help centers with similar socioeconomic realities adjust their transplant policies.

THE COST OF ADULT LIVER TRANSPLANTATION IN A REFERRAL CENTER IN SOUTHERN BRAZIL

BACKGROUND

Liver transplantation (LTx) is the primary and definitive treatment of acute or chronic cases of advanced or end-stage liver disease. Few studies have assessed the actual cost of LTx categorized by hospital unit.

OBJECTIVE

To evaluate the cost of LTx categorized by unit specialty within a referral center in southern Brazil.

METHODS

We retrospectively reviewed the medical records of 109 patients undergoing LTx between April 2013 and December 2014. Data were collected on demographic characteristics, etiology of liver disease, and severity of liver disease according to the Child-Turcotte-Pugh (CTP) and Model for End-stage Liver Disease (MELD) scores at the time of LTx. The hospital bill was transformed into cost using the full absorption costing method, and the costs were grouped into five categories: Immediate Pretransplant Kit; Specialized Units; Surgical Unit; Intensive Care Unit; and Inpatient Unit.

RESULTS

The mean total LTx cost was US$ 17,367. Surgical Unit, Specialized Units, and Intensive Care Unit accounted for 31.9%, 26.4% and 25.3% of the costs, respectively. Multivariate analysis showed that total LTx cost was significantly associated with CTP class C (P=0.001) and occurrence of complications (P=0.002). The following complications contributed to significantly increase the total LTx cost: septic shock (P=0.006), massive blood transfusion (P=0.007), and acute renal failure associated with renal replacement therapy (dialysis) (P=0.005).

CONCLUSION

Our results demonstrated that the total cost of LTx is closely related to liver disease severity scores and the development of complications.

Potential savings in the treatment pathway of liver transplantation: an inter-sectorial analysis of cost-rising factors

INTRODUCTION

Identification of cost-driving factors in patients undergoing liver transplantation is essential to target reallocation of resources and potential savings.

AIM

The aim of this study is to identify main cost-driving factors in liver transplantation from the perspective of the Statutory Health Insurance.

METHODS

Variables were analyzed with multivariable logistic regression to determine their influence on high cost cases (fourth quartile) in the outpatient, inpatient and rehabilitative healthcare sectors as well as for medications.

RESULTS

Significant cost-driving factors for the inpatient sector of care were a high labMELD-score (OR 1.042), subsequent re-transplantations (OR 7.159) and patient mortality (OR 3.555). Expenditures for rehabilitative care were significantly higher in patients with a lower adjusted Charlson comorbidity index (OR 0.601). The indication of viral cirrhosis and hepatocellular carcinoma resulted in significantly higher costs for medications (OR 21.618 and 7.429). For all sectors of care and medications each waiting day had a significant impact on high treatment costs (OR 1.001). Overall, cost-driving factors resulted in higher median treatment costs of 211,435 €.

CONCLUSIONS

Treatment costs in liver transplantation were significantly influenced by identified factors. Long pre-transplant waiting times that increase overall treatment costs need to be alleviated by a substantial increase in donor organs to enable transplantation with lower labMELD-scores. Disease management programs, the implementation of a case management for vulnerable patients, medication plans and patient tracking in a transplant registry may enable cost savings, e.g., by the avoidance of otherwise necessary re-transplants or incorrect medication.

Transplanting organs from hepatitis B positive donors: Is it safe? Is it ethical?

Liver transplant centres throughout the USA face a huge shortage of liver organs for their wait-listed patients. Various types of innovations are being considered for expansion of this donor pool. Organs that were previously deemed to be high risk are now being considered for transplantation. For the last 25 years, hepatitis B core antibody (anti-HBc+) organs have been used for liver transplantation. While the initial transplantations did reveal a high incidence of de novo hepatitis (DNH) in the recipients, the medical knowledge and experience have evolved and this risk has been markedly decreased. In this paper, medical literature evaluating the safety of such organ transplants has been reviewed. There is strong evidence to suggest that using anti-HBc+ organs with appropriate prophylaxis after transplant is a safe practice with good patient and graft survivals. In the second half of the paper, we discuss whether it is ethical to use anti-HBc+ organs. We argue that the use of such organs is in compliance with the principles of medical ethics and that society at large benefits from the use of these organs. Hence, we recommend that the use of such organs is both safe and ethical and this practice should be continued in the future.

Fifteen-Year Trends in Pediatric Liver Transplants: Split, Whole Deceased, and Living Donor Grafts

OBJECTIVE

To evaluate changes in patient and graft survival for pediatric liver transplant recipients since 2002, and to determine if these outcomes vary by graft type (whole liver transplant, split liver transplant [SLT], and living donor liver transplant [LDLT]).

STUDY DESIGN

We evaluated patient and graft survival among pediatric liver-only transplant recipients the PELD/MELD system was implemented using the Scientific Registry of Transplant Recipients.

RESULTS

From 2002-2009 to 2010-2015, survival for SLT at 30 days improved (94% vs 98%; P < .001), and at 1 year improved for SLT (89% to 95%; P <.001) and LDLT (93% to 98%; P = .002). There was no change in survival for whole liver transplant at either 30 days (98% in both; P = .7) or 1 year (94% vs 95%; P = .2). The risk of early death with SLT was 2.14-fold higher in 2002-2009 (adjusted hazard ratio [aHR] vs whole liver transplant, 1.472.143.12), but this risk disappeared in 2010-2015 (aHR, 0.651.131.96), representing a significant improvement (P = .04). Risk of late death after SLT was similar in both time periods (aHR 2002-2009, 0.871.141.48; aHR 2010-2015, 0.560.881.37). LDLT had similar risk of early death (aHR 2002-2009, 0.491.032.14; aHR 2010-2015, 0.260.742.10) and late death (aHR 2002-2009, 0.520.831.32; aHR 2010-2015, 0.170.441.11). Graft loss was similar for SLT (aHR, 0.931.091.28) and was actually lower for LDLT (aHR, 0.530.710.95).

CONCLUSIONS

In recent years, outcomes after the use of technical variant grafts are comparable with whole grafts, and may be superior for LDLT. Greater use of technical variant grafts might provide an opportunity to increase organ supply without compromising post-transplant outcomes.

MELD as a metric for survival benefit of liver transplantation

Currently, there is debate among the liver transplant community regarding the most appropriate mechanism for organ allocation: urgency-based (MELD) versus utility-based (survival benefit). We hypothesize that MELD and survival benefit are closely associated, and therefore, our current MELD-based allocation already reflects utility-based allocation. We used generalized gamma parametric models to quantify survival benefit of LT across MELD categories among 74 196 adult liver-only active candidates between 2006 and 2016 in the United States. We calculated time ratios (TR) of relative life expectancy with transplantation versus without and calculated expected life years gained after LT. LT extended life expectancy (TR > 1) for patients with MELD > 10. The highest MELD was associated with the longest relative life expectancy (TR = _1.05 1.20_1.37 for MELD 11-15, _2.29 2.49_2.70 for MELD 16-20, _5.30 5.72_6.16 for MELD 21-25, _15.12 16.35_17.67 for MELD 26-30; _39.26 43.21_47.55 for MELD 31-34; _120.04 128.25_137.02 for MELD 35-40). As a result, candidates with the highest MELD gained the most life years after LT: 0.2, 1.5, 3.5, 5.8, 6.9, 7.2 years for MELD 11-15, 16-20, 21-25, 26-30, 31-34, 35-40, respectively. Therefore, prioritizing candidates by MELD remains a simple, effective strategy for prioritizing candidates with a higher transplant survival benefit over those with lower survival benefit.

Healthcare utilization after liver transplantation is highly variable among both centers and recipients

The relationship between healthcare utilization before and after liver transplantation (LT), and its association with center characteristics, is incompletely understood. This was a retrospective cohort study of 34 402 adult LTs between 2002 and 2013 using Vizient inpatient claims data linked to the United Network for Organ Sharing (UNOS) database. Multivariable mixed-effects linear regression models evaluated the association between hospitalization 90 days pre-LT and the number of days alive and out of the hospital (DAOH) 1 year post-LT. Of those patients alive at LT discharge, 24.7% spent ≥30 days hospitalized during the first year. Hospitalization in the 90 days pre-LT was inversely associated with DAOH (β = -3.4 DAOH/week hospitalized pre-LT; P = .002). Centers with >30% of their liver transplant recipients hospitalized ≥30 days in the first LT year were typically smaller volume and/or transplanting higher risk recipients (Model for End-Stage Liver Disease [MELD] score ≥35, inpatient or ventilated pre-LT). In conclusion, pre-LT hospitalization predicts 1-year post-LT hospitalization independent of MELD score at the patient-level, whereas center-specific post-LT healthcare utilization is associated with certain center behaviors and selection practices.

Functional status, healthcare utilization, and the costs of liver transplantation

The Model for End-Stage Liver Disease (MELD) score predicts higher transplant healthcare utilization and costs; however, the independent contribution of functional status towards costs is understudied. The study objective was to evaluate the association between functional status, as measured by Karnofsky Performance Status (KPS), and liver transplant (LT) costs in the first posttransplant year. In a cohort of 598 LT recipients from July 1, 2009 to November 30, 2014, multivariable models assessed associations between KPS and outcomes. LT recipients needing full assistance (KPS 10%-40%) vs being independent (KPS 80%-100%) were more likely to be discharged to a rehabilitation facility after LT (22% vs 3%) and be rehospitalized within the first posttransplant year (78% vs 57%), all P < .001. In adjusted generalized linear models, in addition to MELD (P < .001), factors independently associated with higher 1-year post-LT transplant costs were older age, poor functional status (KPS 10%-40%), living donor LT, pre-LT hemodialysis, and the donor risk index (all P < .001). One-year survival for patients in the top cost decile was 83% vs 93% for the rest of the cohort (log rank P < .001). Functional status is an important determinant of posttransplant resource utilization; therefore, standardized measurements of functional status should be considered to optimize candidate selection and outcomes.

Impact of Race and Ethnicity on Outcomes for Children Waitlisted for Pediatric Liver Transplantation

OBJECTIVE

African Americans and other minorities are known to face barriers to health care influencing their access to organ transplantation but it is not known whether these barriers exist among pediatric liver transplant waitlist candidates. We sought to determine whether outcomes on the waitlist (ie, mortality, deceased donor liver transplantation [DDLT], and living-donor liver transplantation [LDLT]) varied by race/ethnicity.

METHODS

National registry data were studied to estimate the race/ethnicity-specific risk of waitlist mortality, DDLT and LDLT in children (<18 years) waitlisted between March 2002 and March 2015.

RESULTS

There was no evidence of racial/ethnic disparities in waitlist mortality. Compared to Caucasians, LDLT varied by race/ethnicity, with only 6.7% African Americans and 10.3% Hispanic children receiving LDLT compared with 12.4% Caucasian, 13.3% Asian, and 9.4% mix/other children. In an adjusted Cox proportional hazards model, African Americans were half as likely as Caucasians to use LDLT (hazard ratio [HR]: 0.410.550.73) but had similar use of DDLT (HR: 0.981.061.16). In a model that considered mortality, DDLT, and LDLT as competing risks, African Americans had significantly reduced incidence of LDLT (subhazard ratio [sHR]: 0.410.560.75) compared to Caucasians, but increased use of DDLT (sHR: 1.061.161.26).

CONCLUSIONS

Compared to Caucasian children, African-American children are less likely to use LDLT but have higher rates of DDLT and similar survival on the waitlist. Additional research is necessary to understand the clinical and socioeconomic factors contributing to lower utilization of LDLT among African-American children awaiting transplantation.

Cost of achieving equivalent outcomes in sicker patients after liver transplant

BACKGROUND

We aimed to characterize variability in cost after straightforward orthotopic liver transplant (OLT).

METHODS

Using the University HealthSystem Consortium and Scientific Registry of Transplant Recipients databases, we identified patients who underwent OLT between 2011 and 2014. Patients meeting criteria for straightforward OLT, defined as length of stay < 14 days with discharge to home, were selected (n = 5763) and grouped into tertiles (low, medium, high) according to cost of perioperative stay.

RESULTS

Patients undergoing straightforward OLT were of similar demographics regardless of cost. High cost patients were more likely to require preoperative hemodialysis, had higher severity of illness, and higher model for end-stage liver disease (MELD) (p < 0.01). High cost patients required greater utilization of resources including lab tests, blood transfusions, and opioids (p < 0.01). Despite having higher burden of disease and requiring increased resource utilization, high cost OLT patients with a straightforward perioperative course were shown to have identical 2-year graft and overall survival compared to lower cost patients (p = 0.82 and p = 0.63), respectively.

CONCLUSION

Providing adequate perioperative care for OLT patients with higher severity of illness and disease burden requires increased cost and resource utilization; however, doing so provides these patients with long term survival equivalent to more routine patients.

Optimizing the Management of Abnormal Liver Function Tests after Orthotopic Liver Transplant: A Systems-Based Analysis of Health Care Utilization

Elevated liver function tests (eLFTs) are a major cause of unplanned readmissions (UR) after orthotopic liver transplantation. Diagnostic workup for eLFTs requires multiple invasive and noninvasive procedures, often done in the inpatient setting to expedite diagnosis, yet consequently resulting in increased costs. In this study, we evaluated eLFT readmissions at a single institution with respect to resource utilization. From 3/2013 to 12/2015, 388 patients underwent orthotopic liver transplantation, resulting in 463 UR totaling 5833 bed days; 87 (18.8%) UR and 929 (15.9%) bed days were for eLFTs. During eLFT-UR all patients underwent repeat laboratory testing, 75 (86.2%) liver ultrasound, 66 (75.8%) liver biopsy, and 17 (19.5%) endoscopic retrograde cholangiopancreatography. Discharge diagnoses were acute cellular rejection (40.2%), transaminitis not otherwise specified (17.2%), biliary complications (16.1%), recurrent hepatitis (11.5%), vascular complications (5.8%), viral hepatitis (5.8%), and steatohepatitis (3.5%). The greatest bed-day utilization was secondary to acute cellular rejection (60.8%) and biliary complications (13.7%). More than 35 per cent of eLFT-UR were due to transaminitis not otherwise specified, steatohepatitis, recurrent or viral hepatitis, none of which necessitate inpatient treatment. In addition, >25 per cent of eLFT-UR bed days were attributed to diagnostic workup. Identifying patients who can undergo expedited outpatient workup and require only outpatient management will result in significantly decreased readmissions, bed days, and hospital costs.

Higher MELD score increases the overall cost on the waiting list for liver transplantation: a micro-costing analysis based study

ABSTRACT BACKGROUND: The pre-transplant period is complex and includes lots of procedures. The severity of liver disease predisposes to a high number of hospitalizations and high costs procedures. Economic evaluation studies are important tools to handle costs on the waiting list for liver transplantation. OBJECTIVE: The objective of the present study was to evaluate the total cost of the patient on the waiting list for liver transplantation and the main resources related to higher costs. METHODS: A cost study in a cohort of 482 patients registered on waiting list for liver transplantation was carried out. In 24 months follow-up, we evaluated all costs of materials, medicines, consultations, procedures, hospital admissions, laboratorial tests and image exams, hemocomponents replacements, and nutrition. The total amount of each resource or component used was aggregated and multiplied by the unitary cost, and thus individual cost for each patient was obtained. RESULTS: The total expenditure of the 482 patients was US$ 6,064,986.51. Outpatient and impatient costs correspond to 32.4% of total cost (US$ 1,965,045.52) and 67.6% (US$ 4,099,940.99) respectively. Main cost drivers in outpatient were: medicines (44.31%), laboratorial tests and image exams (31.68%). Main cost drivers regarding hospitalizations were: medicines (35.20%), bed use in ward and ICU (26.38%) and laboratorial tests (13.72%). Patients with MELD score between 25-30 were the most expensive on the waiting list (US$ 16,686.74 ± 16,105.02) and the less expensive were those with MELD below 17 (US$ 5,703.22 ± 9,318.68). CONCLUSION: Total costs on the waiting list for liver transplantation increased according to the patient’s severity. Individually, hospitalizations, hemocomponents reposition and hepatocellular carcinoma treatment were the main cost drivers to the patient on the waiting list. The longer the waiting time, the higher the total cost on list, causing greater impact on health systems.

Predictors of micro-costing components in liver transplantation

OBJECTIVES:

Although liver transplantation procedures are common and highly expensive, their cost structure is still poorly understood. This study aimed to develop models of micro-costs among patients undergoing liver transplantation procedures while comparing the role of individual clinical predictors using tree regression models.

METHODS:

We prospectively collected micro-cost data from patients undergoing liver transplantation in a tertiary academic center. Data collection was conducted using an Intranet registry integrated into the institution's database for the storing of financial and clinical data for transplantation cases.

RESULTS:

A total of 278 patients were included and accounted for 300 procedures. When evaluating specific costs for the operating room, intensive care unit and ward, we found that in all of the sectors but the ward, human resources were responsible for the highest costs. High cost supplies were important drivers for the operating room, whereas drugs were among the top four drivers for all sectors. When evaluating the predictors of total cost, a MELD score greater than 30 was the most important predictor of high cost, followed by a Donor Risk Index greater than 1.8.

CONCLUSION:

By focusing on the highest cost drivers and predictors, hospitals can initiate programs to reduce cost while maintaining high quality care standards.

High MELD score and extended operating time predict prolonged initial ICU stay after liver transplantation and influence the outcome

BACKGROUND

The aim of the present study is to determine the incidence of a prolonged (>3 days) initial ICU-stay after liver transplantation (LT) and to identify risk factors for it.

PATIENTS AND METHODS

We retrospectively analyzed data of adult recipients who underwent deceased donor first-LT at the University Hospital Essen between 11/2003 and 07/2012 and showed a primary graft function.

RESULTS

Of the 374 recipients, 225 (60.16%) had prolonged ICU-stay. On univariate analysis, donor INR, high doses of vasopressors, "rescue-offer" grafts, being hospitalized at transplant, high urgency cases, labMELD, alcoholic cirrhosis, being on renal dialysis and length of surgery were associated with prolonged ICU-stay. After multivariate analysis, only the labMELD and the operation's length were independently correlated with prolonged ICU-stay. Cut-off values for these variables were 19 and 293.5 min, respectively. Hospital stay was longer for patients with a prolonged initial ICU-stay (p<0.001). Survival rates differed significantly between the two groups at 3 months, 1-year and 5-years after LT (p<0.001).

CONCLUSIONS

LabMELD and duration of LT were identified as independent predictors for prolonged ICU-stay after LT. Identification of recipients in need of longer ICU-stay could contribute to a more evidenced-based and cost-effective use of ICU facilities in transplant centers.

Impact of transjugular intrahepatic porto-systemic shunt on post liver transplantation outcomes: Study based on the United Network for Organ Sharing database

AIM

To determine the impact of transjugular intrahepatic porto-systemic shunt (TIPS) on post liver transplantation (LT) outcomes.

METHODS

Utilizing the United Network for Organ Sharing (UNOS) database, we compared patients who underwent LT from 2002 to 2013 who had underwent TIPS to those without TIPS for the management of ascites while on the LT waitlist. The impact of TIPS on 30-d mortality, length of stay (LOS), and need for re-LT were studied. For evaluation of mean differences between baseline characteristics for patients with and without TIPS, we used unpaired t-tests for continuous measures and χ² tests for categorical measures. We estimated the impact of TIPS on each of the outcome measures. Multivariate analyses were conducted on the study population to explore the effect of TIPS on 30-d mortality post-LT, need for re-LT and LOS. All covariates were included in logistic regression analysis.

RESULTS

We included adult patients (age ≥ 18 years) who underwent LT from May 2002 to September 2013. Only those undergoing TIPS after listing and before liver transplant were included in the TIPS group. We excluded patients with variceal bleeding within two weeks of listing for LT and those listed for acute liver failure or hepatocellular carcinoma. Of 114770 LT in the UNOS database, 32783 (28.5%) met inclusion criteria. Of these 1366 (4.2%) had TIPS between the time of listing and LT. We found that TIPS increased the days on waitlist (408 ± 553 d) as compared to those without TIPS (183 ± 330 d), P < 0.001. Multivariate analysis showed that TIPS had no effect on 30-d post LT mortality (OR = 1.26; 95%CI: 0.91-1.76) and re-LT (OR = 0.61; 95%CI: 0.36-1.05). Pre-transplant hepatic encephalopathy added 3.46 d (95%CI: 2.37-4.55, P < 0.001), followed by 2.16 d (95%CI: 0.92-3.38, P = 0.001) by TIPS to LOS.

CONCLUSION

TIPS did increase time on waitlist for LT. More importantly, TIPS was not associated with 30-d mortality and re-LT, but it did lengthen hospital LOS after transplantation.

Predictors and impacts of hospital readmissions following liver transplantation

While liver transplantation is the definitive therapy for end stage liver disease, it remains a major procedure, with many potential complications. Hospital readmissions after the initial hospitalization for liver transplantation can be associated with adverse outcomes, increased cost, and resource utilization. Our aim was to define the incidence and reasons for hospital readmission after liver transplant and the impact of readmissions on patient outcomes. We retrospectively analyzed 30- and 90-day readmission rates and indications in patients who underwent liver transplant at a large-volume transplant center over a 3-year period. Four hundred seventy-nine adult patients underwent their first liver transplant during the study period. The 30-day readmission rate was 29.6%. Recipient and donor age, etiology of liver disease, biological Model for End-Stage Liver Disease score, and cold ischemia time were similar between patients who were readmitted within 30 days and those who were not readmitted. Readmissions occurred in 25% of patients who were hospitalized prior to liver transplant compared to 30% who were admitted for liver transplant. The most common indications for readmission were infection, severe abdominal pain, and biliary complications. Early discharge from hospital (fewer than 7 days after liver transplant), was not associated with readmission; however, a prolonged hospital stay after liver transplant was associated with an increased risk of readmission (p = 0.04). In conclusion, patients who undergo liver transplant have a high rate of readmission. In our cohort, readmissions were unrelated to pre-existing recipient or donor factors, but were associated with a longer hospital stay after liver transplant.

Liver transplantation after share 35: Impact on pretransplant and posttransplant costs and mortality

Share 35 was implemented in 2013 to direct livers to the most urgent candidates by prioritizing Model for End-Stage Liver Disease (MELD) ≥ 35 patients. We aim to evaluate this policy's impact on costs and mortality. Our study includes 834 wait-listed patients and 338 patients who received deceased donor, solitary liver transplants at Mayo Clinic between January 2010 and December 2014. Of these patients, 101 (30%) underwent transplantation after Share 35. After Share 35, 29 (28.7%) MELD ≥ 35 patients received transplants, as opposed to 46 (19.4%) in the pre-Share 35 era (P = 0.06). No significant difference in 90-day wait-list mortality (P = 0.29) nor 365-day posttransplant mortality (P = 0.68) was found between patients transplanted before or after Share 35. Mean costs were $3,049 (P = 0.30), $5226 (P = 0.18), and $10,826 (P = 0.03) lower post-Share 35 for the 30-, 90-, and 365-day pretransplant periods, and mean costs were $5010 (P = 0.41) and $5859 (P = 0.57) higher, and $9145 (P = 0.54) lower post-Share 35 for the 30-, 90-, and 365-day posttransplant periods. In conclusion, the added cost of transplanting more MELD ≥ 35 patients may be offset by pretransplant care cost reduction. Despite shifting organs to critically ill patients, Share 35 has not impacted mortality significantly. Liver Transplantation 23:11-18 2017 AASLD.

Living donor liver transplantation for high model for end-stage liver disease score: What have we learned?

AIM: To assess the impact of model for end-stage liver disease (MELD) score on patient survival and morbidity post living donor liver transplantation (LDLT).

METHODS: A retrospective study was performed on 80 adult patients who had LDLT from 2011-2013. Nine patients were excluded and 71 patients were divided into two groups; Group 1 included 38 patients with a MELD score < 20, and Group 2 included 33 patients with a MELD score > 20. Comparison between both groups was done regarding operative time, intra-operative blood requirement, intensive care unit (ICU) and hospital stay, infection, and patient survival.

RESULTS: Eleven patients died (15.5%); 3/38 (7.9%) patients in Group 1 and 8/33 (24.2%) in Group 2 with significant difference (P = 0.02). Mean operative time, duration of hospital stay, and ICU stay were similar in both groups. Mean volume of blood transfusion and cell saver re-transfusion were 8 ± 4 units and 1668 ± 202 mL, respectively, in Group 1 in comparison to 10 ± 6 units and 1910 ± 679 mL, respectively, in Group 2 with no significant difference (P = 0.09 and 0.167, respectively). The rates of infection and systemic complications (renal, respiratory, cardiovascular and neurological complications) were similar in both groups.

CONCLUSION: A MELD score > 20 may predict mortality after LDLT.

Medicaid enrollment after liver transplantation: Effects of medicaid expansion

Liver transplantation (LT) recipients in the United States have low rates of paid employment, making some eligible for Medicaid public health insurance after transplant. We test whether recent expansions of Medicaid eligibility increased Medicaid enrollment and insurance coverage in this population. Patients of ages 18-59 years receiving first-time LTs in 2009-2013 were identified in the United Network for Organ Sharing registry and stratified according to insurance at transplantation (private versus Medicaid/Medicare). Posttransplant insurance status was assessed through June 2015. Difference-in-difference multivariate competing-risks models stratified on state of residence estimated effects of Medicaid expansion on Medicaid enrollment or use of uninsured care after LT. Of 12,837 patients meeting inclusion criteria, 6554 (51%) lived in a state that expanded Medicaid eligibility. Medicaid participation after LT was more common in Medicaid-expansion states (25%) compared to nonexpansion states (19%; P < 0.001). Multivariate analysis of 7279 patients with private insurance at transplantation demonstrated that after the effective date of Medicaid expansion (January 1, 2014), the hazard of posttransplant Medicaid enrollment increased in states participating in Medicaid expansion (hazard ratio [HR] = 1.5; 95% confidence interval [CI] = 1.1-2.0; P = 0.01), but not in states opting out of Medicaid expansion (HR = 0.8; 95% CI = 0.5-1.3; P = 0.37), controlling for individual characteristics and time-invariant state-level factors. No effects of Medicaid expansion on the use of posttransplant uninsured care were found, regardless of private or government insurance status at transplantation. Medicaid expansion increased posttransplant Medicaid enrollment among patients who had private insurance at transplantation, but it did not improve overall access to health insurance among LT recipients. Liver Transplantation 22 1075-1084 2016 AASLD.

Predicting early discharge from hospital after liver transplantation (ERDALT) at a single center: a new model

BACKGROUND & RATIONALE

Limited information related to Liver Transplantation (LT) costs in South America exists. Additionally, costs analysis from developed countries may not provide comparable models for those in emerging economies. We sought to evaluate a predictive model of Early Discharge from Hospital after LT (ERDALT = length of hospital stay ≤ 8 days). A predictive model was assessed based on the odds ratios (OR) from a multivariate regression analysis in a cohort of consecutively transplanted adult patients in a single center from Argentina and internally validated with bootstrapping technique.

RESULTS

ERDALT was applicable in 34 of 289 patients (11.8%). Variables independently associated with ERDALT were MELD exception points OR 1.9 (P = 0.04), surgery time < 4 h OR 3.8 (P = 0.013), < 5 units of blood products consumption (BPC) OR 3.5 (P = 0.001) and early weaning from mechanical intubation OR 6.3 (P = 0.006). Points in the predictive scoring model were allocated as follows: MELD exception points (absence = 0 points, presence = 1 point), surgery time < 4 h (0-2 points), < 5 units of BPC (0-2 points), and early weaning (0-3 points). Final scores ranged from 0 to 8 points with a c-statistic of 0.83 (95% CI 0.77-0.90; P < 0.0001). Transplant costs were significantly lower in patients with ERDALT (median $23,078 vs. $28,986; P < 0.0001). Neither lower patient and graft survival, nor higher rates of short-term re-hospitalization and acute rejection events after discharge were observed in patients with ERDALT. In conclusion, the ERDALT score identifies patients suitable for early discharge with excellent outcomes after transplantation. This score may provide applicable models particularly for emerging economies.

Societal reintegration following cadaveric orthotopic liver transplantation

BACKGROUND

Studies on patients' societal reintegration following orthotopic liver transplantation (OLT) are scarce.

METHODS

Between September 2006 and January 2008, all adults who were alive after 3 years post OLT were included in this prospective cohort study. Validated questionnaires were administered to all candidates with the primary aim of investigating the rate of their social re-integration following OLT and potential barriers they might have encountered.

RESULTS

Among 157 eligible patients 110 (70%) participated. Mean participants' age was 57 years (SD 11.4) and 43% were females. Prior to OLT, 75% of patients were married and 6% were divorced. Following OLT there was no significant difference in marital status. Employment rate fell from 72% to 30% post-OLT. Patients who had been employed in either low-skill or advanced-skill jobs were less likely to return to work. After OLT, personal income fell an average of 4,363 Canadian dollars (CAN$) (SD 20,733) (P=0.03) but the majority of recipients (80%) reported high levels of satisfaction for their role in society.

CONCLUSIONS

Although patients' satisfaction post-OLT is high, employment status is likely to be negatively affected for individuals who are not self-employed. Strategies to assist recipients in returning to their pre-OLT jobs should be developed to improve patients' economical status and societal ability to recoup resources committed for OLT.

The Impact of Redistricting Proposals on Health Care Expenditures for Liver Transplant Candidates and Recipients

Redistricting, which means sharing organs in novel districts developed through mathematical optimization, has been proposed to reduce pervasive geographic disparities in access to liver transplantation. The economic impact of redistricting was evaluated with two distinct data sources, Medicare claims and the University HealthSystem Consortium (UHC). We estimated total Medicare payments under (i) the current allocation system (Share 35), (ii) full regional sharing, (iii) an eight-district plan, and (iv) a four-district plan for a simulated population of patients listed for liver transplant over 5 years, using the liver simulated allocation model. The model predicted 5-year transplant volumes (Share 35, 29,267; regional sharing, 29,005; eight districts, 29,034; four districts, 28,265) and a reduction in overall mortality, including listed and posttransplant patients, of up to 676 lives. Compared with current allocation, the eight-district plan was estimated to reduce payments for pretransplant care ($1638 million to $1506 million, p < 0.001), transplant episode ($5607 million to $5569 million, p < 0.03) and posttransplant care ($479 million to $488 million, p < 0.001). The eight-district plan was estimated to increase per-patient transportation costs for organs ($8988 to $11,874 per patient, p < 0.001) and UHC estimated hospital costs ($4699 per case). In summary, redistricting appears to be potentially cost saving for the health care system but will increase the cost of performing liver transplants for some transplant centers.

Timing of Antiviral Therapy in Candidates for Liver Transplant for Hepatitis C and Hepatocellular Carcinoma

OBJECTIVES

Hepatitis C virus infection is the most common underlying reason for hepatocellular carcinoma and indication for liver transplant. The increased availability of non-interferon-based therapy has expanded the number of treatment-eligible patients.

MATERIALS AND METHODS

We used a decision analysis model to compare 2 strategies of treating hepatitis C virus. Included patients were followed for 1 year after liver transplant. The probabilities and costs were obtained from a literature review, an expert panel, and our institution's experience. Sensitivity analyses were performed on all variables.

RESULTS

Our model demonstrated that it would be less costly to treat patients after liver transplant than to treat patients while they wait for transplant. When we compared baseline values, the cost difference between the 2 strategies was $25,011 per patient and $41,535 per sustained viral response. Overall survival was 60.1% for both strategies. Our model was robust across most of the variables tested in the sensitivity analysis.

CONCLUSIONS

Our results indicated that there is no substantial pharmacoeconomic or survival advantage of treating hepatitis C virus in patients with compensated cirrhosis and hepatocellular carcinoma before liver transplant versus after transplant.

Early Postoperative Emergency Department Care of Abdominal Transplant Recipients

BACKGROUND

Research on posttransplant care has predominantly focused on predictors of readmission with little attention to emergency department (ED) visits. The goal of this study was to describe early postoperative ED care of transplant recipients.

METHODS

A secondary database analysis of adult patients who underwent abdominal organ transplantation between January 1, 2008, and December 31, 2013, and sought ED care within 1 year after transplantation was conducted. Survival was compared using the Kaplan-Meier method with log-rank test. Cox proportional hazards regression analysis was performed to adjust for pertinent covariates

RESULTS

A total of 1900 abdominal organ transplants were performed during the study period. Of these, 37% (N = 711) transplant recipients sought care in the ED (1343 total visits) with 1.89 mean ED visits per recipient. Of recipients seen in the ED, 58% received a kidney transplant and 28% received a liver transplant, with 45% of recipients presenting within the first 60 postoperative days. The most common chief complaints were gastroenterological (17%) and abnormal laboratory values or vital signs (17%). In total, 74% of recipients were readmitted and 50% of admitted patients were discharged in less than 24 hours. Transplant recipients with ED visits had lower 3-year graft (81% vs 87%; P < 0.001) and patient (89% vs 93%; P = 0.002) survival.

CONCLUSIONS

Transplant recipients have a high frequency of ED visits in the first posttransplantation year and high rates of subsequent hospital admission. Further investigation is needed to understand what drives recipient presentation to the ED and create care models that achieve the best outcomes.

Predictors of Early Hospitalization After Deceased Donor Liver Transplantation

Hospitalizations after solid organ transplantation may affect patient outcomes. Identification of the factors attributed to them may decrease hospitalization rates, reduce overall cost, and improve post-transplant outcomes. We examined the risk factors for early hospitalization within 30 and 90 days after liver transplantation (LT).

METHODS

Data on all deceased donor LT recipients (age ≥18 years) transplanted between 2/28/2002-2/27/2007 and discharged alive from the index hospitalization within 30 days of LT were collected (N = 267). Patients were followed up until December 31, 2013. Logistic regression was used to identify the predictors of 30-day hospitalization, and linear regression was used to identify the factors associated with number of days hospitalized during 30- and 90-day hospitalization after LT. Renal risk index (RRI), a recently developed and validated risk score that accurately predicts the post-LT ESRD based upon recipient factors at LT, was computed using RRI calculator ( http://rri.med.umich.edu ).

RESULTS

One-third and more than half of the patients had at least one 30- and 90-day hospitalization, respectively. RRI decile (OR 1.12, P = 0.02) and serum sodium at LT (OR 0.90, P < 0.001) were independently associated with 30-day hospitalization after adjusting for MELD score. Serum creatinine at LT (β = 4.34, P = 0.001) and pre-LT admission days (β = 0.15, P = 0.027) affected the number of days hospitalized for 90-day hospitalization. RRI was also an independent predictor of post-LT mortality.

CONCLUSION

Early hospitalizations within 30 and 90 days after deceased donor LT are common. While all post-LT hospitalization cannot be prevented, efforts should be directed toward risk-based post-discharge care, and coordination of effective transitional care through ambulatory clinics. Implementation of such processes may attenuate early post-LT hospitalization and resource utilization and improve quality.

Future Economics of Liver Transplantation: A 20-Year Cost Modeling Forecast and the Prospect of Bioengineering Autologous Liver Grafts

During the past 20 years liver transplantation has become the definitive treatment for most severe types of liver failure and hepatocellular carcinoma, in both children and adults. In the U.S., roughly 16,000 individuals are on the liver transplant waiting list. Only 38% of them will receive a transplant due to the organ shortage. This paper explores another option: bioengineering an autologous liver graft. We developed a 20-year model projecting future demand for liver transplants, along with costs based on current technology. We compared these cost projections against projected costs to bioengineer autologous liver grafts. The model was divided into: 1) the epidemiology model forecasting the number of wait-listed patients, operated patients and postoperative patients; and 2) the treatment model forecasting costs (pre-transplant-related costs; transplant (admission)-related costs; and 10-year post-transplant-related costs) during the simulation period. The patient population was categorized using the Model for End-Stage Liver Disease score. The number of patients on the waiting list was projected to increase 23% over 20 years while the weighted average treatment costs in the pre-liver transplantation phase were forecast to increase 83% in Year 20. Projected demand for livers will increase 10% in 10 years and 23% in 20 years. Total costs of liver transplantation are forecast to increase 33% in 10 years and 81% in 20 years. By comparison, the projected cost to bioengineer autologous liver grafts is $9.7M based on current catalog prices for iPS-derived liver cells. The model projects a persistent increase in need and cost of donor livers over the next 20 years that’s constrained by a limited supply of donor livers. The number of patients who die while on the waiting list will reflect this ever-growing disparity. Currently, bioengineering autologous liver grafts is cost prohibitive. However, costs will decline rapidly with the introduction of new manufacturing strategies and economies of scale.

Big data in organ transplantation: registries and administrative claims

The field of organ transplantation benefits from large, comprehensive, transplant-specific national data sets available to researchers. In addition to the widely used Organ Procurement and Transplantation Network (OPTN)-based registries (the United Network for Organ Sharing and Scientific Registry of Transplant Recipients data sets) and United States Renal Data System (USRDS) data sets, there are other publicly available national data sets, not specific to transplantation, which have historically been underutilized in the field of transplantation. Of particular interest are the Nationwide Inpatient Sample and State Inpatient Databases, produced by the Agency for Healthcare Research and Quality. The USRDS database provides extensive data relevant to studies of kidney transplantation. Linkage of publicly available data sets to external data sources such as private claims or pharmacy data provides further resources for registry-based research. Although these resources can transcend some limitations of OPTN-based registry data, they come with their own limitations, which must be understood to avoid biased inference. This review discusses different registry-based data sources available in the United States, as well as the proper design and conduct of registry-based research.

Liver transplantation in highest acuity recipients: identifying factors to avoid futility

OBJECTIVE

To identify medical predictors of futility in recipients with laboratory Model of End-Stage Liver Disease (MELD) scores of 40 or more at the time of orthotopic liver transplantation (OLT).

BACKGROUND

Although the survival benefit for transplant patients with the highest MELD scores is indisputable, the medical and economic effort to bring these highest acuity recipients through OLT presents a major challenge for every transplant center.

METHODS

This study was undertaken to analyze outcomes in patients with MELD scores of 40 or more undergoing OLT during the period February 2002 to December 2010. The analysis was focused on futile outcome (3-month or in-hospital mortality) and long-term posttransplant outcome. Independent predictors of futility and failure-free survival were identified and a futility risk model was created.

RESULTS

During the study period, 1522 adult cadaveric OLTs were performed, and 169 patients (13%) had a MELD score of 40 or more. The overall 1, 3, 5, and 8-year patient survivals were 72%, 64%, 60%, and 56%. Futile outcome occurred in 37 patients (22%). MELD score, pretransplant septic shock, cardiac risk, and comorbidities were independent predictors of futile outcome. Using all 4 factors, the futility risk model had a good discriminatory ability (c-statistic 0.75). Recipient age per year, life-threatening postoperative complications, hepatitis C, and metabolic syndrome were independent predictors for long-term survival in nonfutile patients (Harrels c-statistic 0.72).

CONCLUSIONS

Short- and long-term outcomes of recipients with MELD scores of 40 or more are primarily determined by disease-specific factors. Cardiac risk, pretransplant septic shock, and comorbidities are the most important predictors and can be used for risk stratification in these highest acuity recipients.

Assessing variation in the costs of care among patients awaiting liver transplantation

Previous economic analyses of liver transplantation have focused on the cost of the transplant and subsequent care. Accurate characterization of the pretransplant costs, indexed to severity of illness, is needed to assess the economic burden of liver disease. A novel data set linking Medicare claims with transplant registry data for 15,710 liver transplant recipients was used to determine average monthly waitlist spending (N = 249,434 waitlist months) using multivariable linear regression models to adjust for recipient characteristics including Model for End-Stage Liver Disease (MELD) score. Characteristics associated with higher spending included older age, female gender, hepatocellular carcinoma, diabetes, hypertension and increasing MELD score (p < 0.05 for all). Spending increased exponentially with severity of illness: expected monthly spending at a MELD score of 30 was 10 times higher than at MELD of 20 ($22,685 vs. $2030). Monthly spending within MELD strata also varied geographically. For candidates with a MELD score of 35, spending varied from $19,548 (region 10) to $36,099 (region 7). Regional variation in waitlist costs may reflect the impact of longer waiting times on greater pretransplant hospitalization rates among high MELD score patients. Reducing the number of high MELD waitlist patients through improved medical management and novel organ allocation systems could decrease total spending for end-stage liver care.

A proposal to grade the severity of early allograft dysfunction after liver transplantation

Objective:

To propose a grading system for early hepatic graft dysfunction.

Methods:

A retrospective study from a single transplant center. Recipients of liver transplants from deceased donors, transplanted under the MELD system were included. Early graft dysfunction was defined by Olthoff criteria. Multiple cut-off points of post-transplant laboratory tests were used to create a grading system for early graft dysfunction. The primary outcome was 6-months grafts survival.

Results:

The peak of aminotransferases during the first postoperative week correlated with graft loss. The recipients were divided into mild (aminotransferase peak >2,000IU/mL, but <3,000IU/mL); moderate (aminotransferase peak >3,000IU/mL); and severe (aminotransferase peak >3,000IU/mL + International Normalized Ratio ≥1.6 and/or bilirubin ≥ 10mg/dL in the 7^th postoperative day) early allograft dysfunction. Moderate and severe early dysfunctions were independent risk factors for graft loss. Patients with mild early dysfunction presented with graft and patient survival comparable to those without graft dysfunction. However, those with moderate early graft dysfunction showed worse graft survival than those who had no graft dysfunction. Patients with severe early dysfunction had graft and patient survival rates worse than those of any other groups.

Conclusion:

Early graft dysfunction can be graded by a simple and reliable criteria based on the peak of aminotransferases during the first postoperative week. The severity of the early graft dysfunction is an independent risk factor for allograft loss. Patients with moderate early dysfunction showed worsening of graft survival. Recipients with severe dysfunction had a significantly worse prognosis for graft and patient survival.

The MELD system and liver transplant waiting-list mortality in developing countries: lessons learned from São Paulo, Brazil

OBJECTIVE

The MELD system has not yet been tested as an allocation tool for liver transplantation in the developing countries. In 2006, MELD (Model for End-stage Liver Disease) was launched as a new liver allocation system in São Paulo, Brazil. This study was designed to assess the results of the new allocation policy on waiting list mortality.

METHODS

The State of São Paulo liver transplant database was retrospectively reviewed from July 2003 through July 2009. Patients were divided into those who were transplanted before (Pre-MELD Group) and those who were transplanted after (post-MELD Group) the implementation of the MELD system. Only adult liver transplant candidates were included. Waiting list mortality was the primary endpoint.

RESULTS

The unadjusted death rate in waiting list decreased significantly after the implementation of the MELD system (from 91.2 to 33.5/1,000 patients per year; p<0.0001). Multivariate analysis showed a significant drop in risk of waiting list death for post-MELD patients (HR 0.34; p<0.0001). Currently, 48% of patients are transplanted within 1-year of listing (versus 23% in the pre-MELD era; p<0.0001). Patient and graft survival did not change with MELD implementation.

CONCLUSION

There was a reduction in waiting time and list mortality after implementation of the MELD system in São Paulo. Patients listed in the post-MELD era had a significant reduction in risk for the waiting list mortality. There were no changes in post-transplant outcomes. MELD can be successfully utilized for liver transplant allocation in developing countries.

A validated model for predicting outcome after liver transplantation: implications on transplanting the extremely sick

Given the organ shortage, there is a need to optimize outcome after liver transplantation (LT). We defined posttransplant hospital length of stay > 60 days (LOS > 60) as a surrogate of suboptimal outcome. In the first phase of the study, a 'Study cohort' (SC) of 643 patients was used to identify risk factors and construct a mathematical model to identify recipients with anticipated inferior results. In the second phase, a cohort of 417 patients was used for validation of the model ['Validation Cohort' (VC)]. In the SC, 65 patients (10.1%) had LOS > 60 days. One- and 3-year patient/graft survival rates were 81.9%/76.1% and 73.4%/67.4%, respectively. Patient and graft survival rates of those with LOS > 60 days were inferior (P < 0.0001), while transplant cost was greater [3.42 relative units (RU) vs. 1 RU, P < 0.0001]. In a multivariable analysis, pretransplant dialysis (P < 0.001), mechanical ventilation (P < 0.015), MELD (P < 0.003), and age (P < 0.009) were predictors of LOS > 60 days [ROC curve - 0.75 (95% CI 0.70, 0.81)]. In the VC, 53 patients (12.7%) were expected to have adverse outcome by the model. These patients had longer LOS (P < 0.0001), higher cost (<0.0001), and inferior patient and graft survival (P < 0.007).

Early allograft dysfunction is associated with excess resource utilization after liver transplantation

BACKGROUND

There are limited data on length of stay (LOS) following liver transplantation (LT), yet this is an important health services metric that directly correlates with early post-LT health care costs. The primary objective of this study was to examine the relationship between early allograft dysfunction (EAD) and LOS after LT. The secondary objective was to identify additional recipient, donor, and operative factors associated with LOS.

METHODS

Adult patients undergoing primary LT over a 32-month period were prospectively examined at a single center. Subjects fulfilling standard criteria for EAD were compared with those not meeting the definition. Variables associated with increased LOS on ordinal logistic regression were identified.

RESULTS

Subjects with EAD had longer mean hospital LOS than those without (42.5 ± 38.9 days vs 27.4 ± 31 days; P = .003). Subjects with EAD also had longer mean intensive care LOS (8.61 ± 10.28 days vs 5.45 ± 11.6 days; P = .048). Additional factors significantly associated with LOS included Model for End-Stage Liver Disease (MELD) score, recipient location before LT, and postoperative surgical complications.

CONCLUSIONS

EAD is associated with longer hospitalization after LT. MELD score, preoperative recipient location, and postoperative complications were significantly associated with LOS. From a cost-containment perspective, these findings have implications on resource allocation.