Impact of comorbidity on waiting list and post-transplant outcomes in patients undergoing liver retransplantation

Modern Outcomes After Liver Retransplantation: A Single-center Experience

BACKGROUND

The need for liver retransplantation (reLT) has increased proportionally with greater numbers of liver transplants (LTs) performed, use of marginal donors, degree of recipient preoperative liver dysfunction, and longer survival after LT. However, outcomes following reLT have been historically regarded as poor.

METHODS

To evaluate reLT in modern recipients, we retrospectively examined our single-center experience. Analysis included 1268 patients undergoing single LT and 68 patients undergoing reLT from January 2008 to December 2021.

RESULTS

Pre-LT mechanical ventilation, body mass index at LT, donor-recipient ABO incompatibility, early acute rejection, and length of hospitalization were associated with increased risk of needing reLT following index transplant. Overall and graft survival outcomes in the reLT cohort were equivalent to those after single LT. Mortality after reLT was associated with Kidney Donor Profile Index, national organ sharing at reLT, and LT donor death by anoxia and blood urea nitrogen levels. Survival after reLT was independent of the interval between initial LT and reLT, intraoperative packed red blood cell use, cold ischemia time, and preoperative mechanical ventilation, all previously linked to worse outcomes.

CONCLUSIONS

These data suggest that reLT is currently a safer option for patients with liver graft failure, with comparable outcomes to primary LT.

Factors affecting survival after liver retransplantation: a systematic review and meta-analysis

Background

Liver retransplantation (reLT) has historically had inferior survival relative to primary liver transplant (LT). To improve outcomes after reLT, researchers have identified factors predicting overall (OS) and/or graft survival (GS) after reLT. This systematic review and random effects meta-analysis sought to summarize this literature to elucidate the strongest independent predictors of post-reLT.

Methods

A systematic review was conducted to identify manuscripts reporting factors affecting survival in multivariable Cox proportional hazards analyses. Papers with overlapping cohorts were excluded.

Results

All 25 included studies were retrospective, and 15 (60%) were single-center studies. Patients on pre-transplant ventilation (HR, 3.11; 95% CI, 1.56-6.20; p = 0.001) and with high serum creatinine (HR, 1.46; 95% CI, 1.15-1.87; p = 0.002) had the highest mortality risk after reLT. Recipient age, Model for End-Stage Liver Disease score, donor age, and cold ischemia time >12 h also conferred a significant risk of post-reLT death (all p < 0.05). Factors affecting GS included donor age and retransplant interval (the time between LT and reLT; both p < 0.05). OS is significantly higher when the retransplant interval is ≤7 days relative to 8-30 days (p = 0.04).

Conclusions

The meta-analysis was complicated by papers utilizing non-standardized cut-off values to group variables, which made between-study comparisons difficult. However, it did identify 7 variables that significantly impact survival after reLT, which could stimulate future research into improving post-reLT outcomes.

Association between hospital liver transplantation volume and mortality after liver re-transplantation

BACKGROUND

The relationship between institutional liver transplantation (LT) case volume and clinical outcomes after liver re-transplantation is yet to be determined.

METHODS

Patients who underwent liver re-transplantation between 2007 and 2016 were selected from the Korean National Healthcare Insurance Service database. Liver transplant centers were categorized to either high-volume centers (≥ 64 LTs/year) or low-volume centers (< 64 LTs/year) according to the annual LT case volume. In-hospital and long-term mortality after liver re-transplantation were compared.

RESULTS

A total of 258 liver re-transplantations were performed during the study period: 175 liver re-transplantations were performed in 3 high-volume centers and 83 were performed in 21 low-volume centers. In-hospital mortality after liver re-transplantation in high and low-volume centers were 25% and 36% (P = 0.069), respectively. Adjusted in-hospital mortality was not different between low and high-volume centers. Adjusted 1-year mortality was significantly higher in low-volume centers (OR 2.14, 95% CI 1.05-4.37, P = 0.037) compared to high-volume centers. Long-term survival for up to 9 years was also superior in high-volume centers (P = 0.005). Other risk factors of in-hospital mortality and 1-year mortality included female sex and higher Elixhauser comorbidity index.

CONCLUSION

Centers with higher case volume (≥ 64 LTs/year) showed lower in-hospital and overall mortality after liver re-transplantation compared to low-volume centers.

Are We Ready for Bariatric Surgery in a Liver Transplant Program? A Meta-Analysis

BACKGROUND

Obesity-related non-alcoholic fatty liver disease (NAFLD) and non-alcoholic steatohepatitis (NASH) are two main causes of end-stage liver disease requiring a liver transplantation. Studies exploring bariatric surgery in the liver transplantation setting have increased in recent years; however, a systematic analysis of the topic is lacking to date. This meta-analysis was conducted to explore the perioperative and long-term outcomes of bariatric surgery in obese patients undergoing liver transplantation.

METHODS

Electronic databases were systematically searched for studies reporting bariatric surgery in patients undergoing liver transplantation. The primary outcomes were postoperative complications and mortality. We also extracted data about excess weight loss, body mass index, and improvement of comorbidities after bariatric surgery.

RESULTS

A total of 96 patients from 8 articles were included. Bariatric surgery-related morbidity and mortality rates were 37% (95% CI 0.27-0.47) and 0.6% (95% CI 0.02-0.13), respectively. Body mass index at 24 months was 31.02 (95% CI 25.96-36.09) with a percentage excess weight loss at 12 and 24 months of 44.08 (95% CI 27.90-60.26) and 49.2 (95% CI 31.89-66.66), respectively. After bariatric surgery, rates of improvement of arterial hypertension and diabetes mellitus were 61% (95% CI 0.45-0.75) and 45% (95% CI 0.25-0.66), respectively. In most patients, bariatric surgery was performed after liver transplant and the most frequent technique was sleeve gastrectomy.

CONCLUSIONS

Bariatric surgery can be performed safely in the setting of liver transplantation resulting in improvement of obesity-related comorbidities. The optimal timing and technique require further studies.

How Can We Improve the Selection of Patients Awaiting Liver Retransplantation?

OBJECTIVE

To analyze predictors of survival involved in liver retransplantation (LRT), including the Rosen Model (RM).

MATERIALS AND METHODS

This was a descriptive, observational, and unicentric study based on predictors of survival including patients who underwent LRT in a tertiary medical center between April 2002 and December 2018. Recipient, donor, and transplant data were collected, and RM score was calculated for every patient. Fisher exact test and Student t test were used for qualitative and quantitative variables, respectively. The Shapiro-Wilks test was applied to verify the normality of the sample. Survival differences between subgroups were checked using the log-rank test. Statistical significance was stated at P < .05.

RESULTS

Among 32 retransplanted patients in this period, 17 (53.1%) survived more than 12 months after LRT. The results of statistical associations between prognostic factors and overall survival highlighted that an older recipient age was significantly correlated with a lower overall survival. The 3-month overall survival was 84.3%. Nineteen patients had a low risk according to RM, with a 3-month survival rate of 78.9%. Eight had a RM intermediate risk, with a survival rate of 21%. Despite the aforementioned data, the log-rank test did not find statistical differences in survival (P = .488).

CONCLUSION

We should consider older recipient age as a negative prognostic factor of overall survival. Also, we should contemplate intermediate risk according to RM as an adverse predictor regarding survival in LRT. Both data are of interest regarding the indication or not of LRT and prioritization on the waiting list.

Poor Survival After Retransplantation in NASH Cirrhosis

BACKGROUND

Nonalcoholic steatohepatitis (NASH) cirrhosis is a common indication for liver transplantation (LT) in the United States. There is a paucity of data on retransplantation (re-LT) in those who were initially transplanted for NASH.

METHODS

We queried the United Network for Organ Sharing data sets from 2002 to 2016 to analyze the outcomes of adults with NASH (n = 128) and compared them with groups that received re-LT for cryptogenic cirrhosis (n = 189), alcoholic cirrhosis (n = 300) or autoimmune hepatitis cirrhosis (n = 118) after excluding multiple-organ re-LT and individuals with hepatocellular carcinoma. We estimated survival probabilities using a Kaplan-Meier estimator, and a relative risk of patient and graft mortality using proportional hazards regression.

RESULTS

The NASH group was older and had a higher prevalence of obesity, type II diabetes mellitus, renal insufficiency, portal vein thrombosis, and poor performance status. The median interval between the first and the second LT was shorter in the NASH group (27 days). The graft and patient 5-year survival rates were lower for the NASH group after re-LT compared with the other 3 groups. After adjusting for demographic and disease complication factors, the factors that increased a risk of patient or graft failure were a poor performance status (hazard ratio [HR], 1.64; 1.19-2.26), Donor Risk Index (HR, 1.51; 1.08-2.12), and a high Model for End-stage Liver Disease score (HR, 1.02; 1.00-1.04).

CONCLUSIONS

Despite the comparable outcomes reported for initial LT among the various etiologies, the outcome of re-LT is significantly worse for NASH cirrhosis.