LabMELD-based organ allocation increases total costs of liver transplantation: a single-center experience

The BAR Score Predicts and Stratifies Outcomes Following Liver Retransplantation: Insights From a Retrospective Cohort Study

Liver retransplantation (reLT) yields poorer outcomes than primary liver transplantation, necessitating careful patient selection to avoid futile reLT. We conducted a retrospective analysis to assess reLT outcomes and identify associated risk factors. All adult patients who underwent a first reLT at the Medical University of Innsbruck from 2000 to 2021 (N = 111) were included. Graft- and patient survival were assessed via Kaplan-Meier plots and log-rank tests. Uni- and multivariate analyses were performed to identify independent predictors of graft loss. Five-year graft- and patient survival rates were 64.9% and 67.6%, respectively. The balance of risk (BAR) score was found to correlate with and be predictive of graft loss and patient death. The BAR score also predicted sepsis (AUC 0.676) and major complications (AUC 0.720). Multivariate Cox regression analysis identified sepsis [HR 5.179 (95% CI 2.575-10.417), p < 0.001] as the most significant independent risk factor for graft loss. At a cutoff of 18 points, the 5 year graft survival rate fell below 50%. The BAR score, a simple and easy to use score available at the time of organ acceptance, predicts and stratifies clinically relevant outcomes following reLT and may aid in clinical decision-making.

Progress of new-onset diabetes after liver and kidney transplantation

Organ transplantation is currently the most effective treatment for end-stage organ failure. Post transplantation diabetes mellitus (PTDM) is a severe complication after organ transplantation that seriously affects the short-term and long-term survival of recipients. However, PTDM is often overlooked or poorly managed in its early stage. This article provides an overview of the incidence, and pathogenesis of and risk factors for PTDM, aiming to gain a deeper understanding of PTDM and improve the quality of life of recipients.

Patients Benefit from Liver Transplantation for Hepatocellular Carcinoma beyond Milan Criteria without Harming the Health Care System

Liver transplantation (LT) is the only definitive treatment to cure hepatocellular carcinoma (HCC) in cirrhosis. Waiting-list candidates are selected by the model for end-stage liver disease (MELD). However, many indications are not sufficiently represented by labMELD. For HCC, patients are selected by Milan-criteria: Milan-in qualifies for standard exception (SE) and better organ access on the waiting list; while Milan-out patients are restricted to labMELD and might benefit from extended criteria donor (ECD)-grafts. We analyzed a cohort of 102 patients (2011−2020). Patients with labMELD (no SE, Milan-out, n = 56) and matchMELD (SE-HCC, Milan-in, n = 46) were compared. The median overall survival was not significantly different (p = 0.759). No difference was found in time on the waiting list (p = 0.881), donor risk index (p = 0.697) or median costs (p = 0.204, EUR 43,500 (EUR 17,800−185,000) for labMELD and EUR 30,300 (EUR 17,200−395,900) for matchMELD). Costs were triggered by a cut-off labMELD of 12 points. Overall, the deficit increased by EUR 580 per labMELD point. Cost drivers were re-operation (p < 0.001), infection with multiresistant germs (p = 0.020), dialysis (p = 0.017), operation time (p = 0.012) and transfusions (p < 0.001). In conclusion, this study demonstrates that LT for HCC is successful and cost-effective in low labMELD patients independent of Milan-criteria. Therefore, ECD-grafts are favorized in Milan-out HCC patients with low labMELD.

Early Allograft Dysfunction Increases Hospital Associated Costs After Liver Transplantation-A Propensity Score-Matched Analysis

Concepts to ameliorate the continued mismatch between demand for liver allografts and supply include the acceptance of allografts that meet extended donor criteria (ECD). ECD grafts are generally associated with an increased rate of complications such as early allograft dysfunction (EAD). The costs of liver transplantation for the health care system with respect to specific risk factors remain unclear and are subject to change. We analyzed 317 liver transplant recipients from 2013 to 2018 for outcome after liver transplantation and hospital costs in a German transplant center. In our study period, 1-year survival after transplantation was 80.1% (95% confidence interval: 75.8%-84.6%) and median hospital stay was 33 days (interquartile rage: 24), with mean hospital costs of €115,924 (SD €113,347). There was a positive correlation between costs and laboratory Model for End-Stage Liver Disease score (r_s = 0.48, P < 0.001), and the development of EAD increased hospital costs by €26,229. ECD grafts were not associated with a higher risk of EAD in our cohort. When adjusting for recipient-associated risk factors such as laboratory Model for End-Stage Liver Disease score, recipient age, and split liver transplantation with propensity score matching, only EAD and cold ischemia increased total costs. Conclusion: Our data show that EAD leads to significantly higher hospital costs for liver transplantation, which are primarily attributed to recipient health status. Strategies to reduce the incidence of EAD are needed to control costs in liver transplantation.

Is Muscle MELD a More Promising Predictor for Mortality After Living Donor Liver Transplantation?

BACKGROUND

To improve the outcome of living donor liver transplantation (LDLT), a scoring system that could predict accurately the patient and graft survival posttransplant is necessary. The aim of this study is to evaluate our previously proposed Muscle-model for end-stage liver disease (M-MELD) score and to compare it with the other available scores to find the best system that correlates with postoperative outcome after liver transplant.

METHODS

We retrospectively reviewed the data of 199 patients who underwent LDLT from January 2010 to July 2016 and calculated the preoperative MELD, MELD Na, the product of donor age and MELD (D-MELD), M-MELD, integrated MELD, and the balance of risk (BAR) score in all patients. The area under the receiver operating characteristics curves (AUCs) of each score was computed and compared at 3-, 6-months, and 1-year after LDLT.

RESULTS

The M-MELD, D-MELD, and integrated MELD had a good discriminative performance in predicting 3-month mortality after LDLT with AUCs > 0.7, while the M-MELD was the only score that showed a good discriminative performance in predicting 6-month and 1-year mortality after LDLT with AUCs > 0.7.

CONCLUSION

Muscle-MELD score is a simple and useful predictor of patient survival after LDLT which showed a better predictive performance than other available scores.

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.

New-onset diabetes after liver transplantation and its impact on complications and patient survival

BACKGROUND

The aim of the present study was to investigate the incidence and risk factors of new-onset diabetes after transplantation (NODAT) in liver transplant recipients and the influence of NODAT on complications and long-term patient survival.

METHODS

We examined 438 patients who underwent liver transplantation between April 2001 and December 2008 and were not diabetic before transplantation.

RESULTS

The mean (± SD) follow-up duration was 2.46 ± 1.62 years. The incidence of NODAT 3, 6, 9, 12, 36, and 60 months after transplantation was 44.24%, 25.59%, 23.08%, 25.17%, 17.86%, and 18.18%, respectively. Multifactor analysis indicated that preoperative fasting plasma glucose (FPG) levels and donor liver steatosis were independent risk factors for NODAT, whereas administration of an interleukin-2 receptor (IL-2R) antagonist reduced the risk of NODAT. Compared with the no NODAT group (N-NODAT), the NODAT group had a higher rate of sepsis and chronic renal insufficiency. Mean survival was significantly longer in the N-NODAT than NODAT group. Cox regression analysis showed that pre- and/or postoperative FPG levels, tumor recurrence or metastasis, and renal insufficiency after liver transplantation were independent risk factors of mortality. Pulmonary infection or multisystem failure were specific causes of death in the NODAT group, whereas patients in both groups died primarily from tumor relapse or metastasis.

CONCLUSIONS

Preoperative FPG levels and donor liver steatosis were independent risk factors for NODAT, whereas administration of an IL-2R antagonist reduced the risk of NODAT. Patients with NODAT had reduced survival and an increased incidence of sepsis and chronic renal insufficiency. Significant causes of death in the NODAT group were pulmonary infection and multisystem failure.

Early markers of reperfusion injury after liver transplantation: association with primary dysfunction

BACKGROUND

In patients with end-stage liver disease, liver transplantation is the only available curative treatment. Although the outcome and quality of life in the patients have improved over the past decades, primary dys- or nonfunction (PDF/PNF) can occur. Early detection of PDF and PNF is crucial and could lead to individual therapies. This study was designed to identify early markers of reperfusion injury and PDF in liver biopsies taken during the first hour after reperfusion.

METHODS

Biopsies from donor livers were prospectively taken as a routine during the first hour after reperfusion. Recipient data, transaminases and outcome were routinely monitored. In total, 10 biopsy specimens taken from patients with 90-day mortality and PDF, and patients with long-term survival but without PDF were used for DNA microarrays. Markers that were significantly up- or down-regulated in the microarray were verified using quantitative real-time PCR.

RESULTS

Age, indications and labMELD score were similar in both groups. Peak-transaminases during the first week after transplantation were significantly different in the two groups. In total, 20 differentially regulated markers that correlated to PDF were identified using microarray analysis and verified with quantitative real-time PCR.

CONCLUSIONS

The markers identified in this study could predict PDF at a very early time point and might point to interventions that ameliorate reperfusion injury and thus prevent PDF. Identification of patients and organs at risk might lead to individualized therapies and could ultimately improve outcome.

Effect of delayed CNI-based immunosuppression with Advagraf® on liver function after MELD-based liver transplantation [IMUTECT]

BACKGROUND

MELD-based allocation for liver transplantation follows the "sickest-patient-first" strategy. The latter patients present with both, decreased immune competence and poor kidney function which is further impaired by immunosuppressants.

METHODS/DESIGN

In this prospective observational study, 50 patients with de novo low-dose standard Advagraf®-based immunosuppression consisting of Advagraf®, Mycophenolat-mofetil and Corticosteroids after liver transplantation will be evaluated. Advagraf® trough levels of 7-10 μg/l will be reached at the end of the first postoperative week. Immunostatus, infectious complications, graft and kidney function are compared between patients with a pretransplant calculated MELD-score of ≤20 and >20. Each group comprises of 25 consecutive patients. Prior to liver transplantation and on the postoperative days 1, 3 and 7, the patients' graft function (LiMAx test) will be evaluated. On the postoperative days 3, 5 and 7 the patients' immune status will be evaluated by the measurement of their monocytic HLA-DR status.Infectious complications (CMV-reactivation, wound infection, urinary tract infection, and pneumonia), graft- and kidney function will be analysed on day 0, within the first week, and 1, 3, 6, 9 and 12 months after liver transplantation.

DISCUSSION

This study was designed to assess the effect of a standard low-dose Calcineurin inhibitor-based immunosuppression regime with Advagraf® on the rate of infectious complications, graft and renal function after liver transplantation.

TRIAL REGISTRATION

The trial is registered at "Clinical Trials" (http://www.clinicaltrials.gov), NCT01781195.

The MELD score predicts the short-term and overall survival after liver transplantation in patients with primary sclerosing cholangitis or autoimmune liver diseases

PURPOSE

Liver transplantation (LT) is well established in patients with autoimmune liver disease. Despite excellent outcomes, organ scarcity demands careful patients' selection and timing of transplantation.

METHODS

This retrospective study analyzes data of 79 consecutive patients with primary sclerosing cholangitis (PSC), autoimmune hepatitis (AIH), and overlap syndrome, undergoing LT between 2001 and 2012. Overall survival (OS) and graft survival were assessed using Kaplan-Meier estimate. Multivariate survival analysis was performed to identify prognostic factors by using Cox regression model.

RESULTS

After 59.6-month median follow-up, the 5-year OS and graft survival were 75.3 and 68.8%, respectively. The 5-year survival rates for patients with PSC (n=57), AIH (n=17), and overlap syndrome (n=5) were 76.3, 76.0, and 60.0%. The 90-day mortality rate of 70.0% was significantly higher in patients with a labMELD score≥20 (n=10) compared to 26.1% in 69 patients with a labMELD<20 (p=0.009). A lab Model for End-Stage Liver Disease (MELD) score≥20 was an independent predictor of impaired OS (p=0.050, hazard ratio 2.5). The 5-year OS was 55.7% in patients with a labMELD score≥20 compared to 84.7% in patients with a labMELD score<20.

CONCLUSION

The recipients' MELD score is a predictor for the short-term outcome after LT in patients with autoimmune liver disease. Meticulous selection for transplant listing remains necessary to safe scarce donor organs.

Prediction of postoperative mortality in liver transplantation in the era of MELD-based liver allocation: a multivariate analysis

BACKGROUND AND AIMS

Liver transplantation is the only curative treatment for end-stage liver disease. While waiting list mortality can be predicted by the MELD-score, reliable scoring systems for the postoperative period do not exist. This study's objective was to identify risk factors that contribute to postoperative mortality.

METHODS

Between December 2006 and March 2011, 429 patients underwent liver transplantation in our department. Risk factors for postoperative mortality in 266 consecutive liver transplantations were identified using univariate and multivariate analyses. Patients who were <18 years, HU-listings, and split-, living related, combined or re-transplantations were excluded from the analysis. The correlation between number of risk factors and mortality was analyzed.

RESULTS

A labMELD ≥20, female sex, coronary heart disease, donor risk index >1.5 and donor Na+>145 mmol/L were identified to be independent predictive factors for postoperative mortality. With increasing number of these risk-factors, postoperative 90-day and 1-year mortality increased (0-1: 0 and 0%; 2: 2.9 and 17.4%; 3: 5.6 and 16.8%; 4: 22.2 and 33.3%; 5-6: 60.9 and 66.2%).

CONCLUSIONS

In this analysis, a simple score was derived that adequately identified patients at risk after liver transplantation. Opening a discussion on the inclusion of these parameters in the process of organ allocation may be a worthwhile venture.

Predicting the discharge status after liver transplantation at a single center: a new approach for a new era

The aim of this study was to develop a tool for preoperatively predicting the need of a patient to attend an extended care facility after orthotopic liver transplantation (OLT). A multidisciplinary group, which included 2 transplant surgeons, 2 transplant nurses, 1 nurse manager, 2 physical therapists, 1 case manager, 1 home health care professional, 1 rehabilitation physician, and 1 statistician, met to identify preoperative factors relevant to discharge planning. The parameters that were examined as potential predictors of the discharge status were as follows: age, sex, language, Karnofsky score, OLT alone (versus a combined procedure), creatinine, bilirubin, international normalized ratio (INR), albumin, body mass index (BMI), Child-Turcotte-Pugh score, chemical Model for End-Stage Liver Disease score, renal dialysis, location before transplantation, comorbidities (encephalopathy, ascites, hydrothorax, and hepatopulmonary syndrome), diabetes mellitus (DM), cardiac ejection fraction and right ventricular systolic pressure, sex and availability of the primary caregiver, donor risk index, and donor characteristics. Between January 2004 and April 2010, 730 of 777 patients (94%) underwent only liver transplantation, and 47 patients (6%) underwent combined procedures. Five hundred nineteen patients (67%) were discharged home, 215 (28%) were discharged to a facility, and 43 (6%) died early after OLT. A multivariate logistic regression analysis identified the following parameters as significantly influencing the discharge status: a low Karnofsky score, an older age, female sex, an INR of 2.0, a creatinine level of 2.0 mg/dL, DM, a high bilirubin level, a low albumin level, a low or high BMI, and renal dialysis before OLT. The nomogram was prospectively validated with a population of 126 OLT recipients with a concordance index of 0.813. In conclusion, a new approach to improving the efficiency of hospital care is essential. We believe that this tool will aid in reducing lengths of stay and improving the experience of patients by facilitating early discharge planning.