MELD at POD 1 as a predictor of outcome in liver allografts with peak AST >5000 U/l

The postoperative Model for End stage Liver Disease score as a predictor of short-term outcome after transplantation of extended criteria donor livers

BACKGROUND

Recently, the postoperative Model for End stage Liver Disease score (POPMELD) was suggested as a definition of postoperative graft dysfunction and a predictor of outcome after liver transplantation (LT).

AIM

The aim of the present study was to validate this concept in the context of extended criteria donor (ECD) organs.

PATIENTS AND METHODS

Single-center prospectively collected data (OPAL study/01/11-12/13) of 116 ECD LTs were utilized. For each recipient, the Model for End stage Liver Disease (MELD) score was calculated for 7 postoperative days (PODs). The ability of international normalized ratio, bilirubin, aspartate aminotransferase, Donor Risk Index, a recent definition of early allograft dysfunction, and the POPMELD was compared to predict 90-day graft loss. Predictive abilities were compared by receiver operating characteristic curves, sensitivity and specificity, and positive and negative predictive values.

RESULTS

The median Donor Risk Index was 1.8. In all, 60.3% of recipients were men [median age of 54 (23-68) years]. The median POD1-7 peak-aspartate aminotransferase value was 1052 (194-17 577) U/l. The rate of early allograft dysfunction was 22.4%. The 90-day graft survival was 89.7%. Out of possible predictors of the 90-day graft loss MELD on POD5 was the best predictor of outcome (area under the curve=0.84). A MELD score of 16 or more on POD5 predicted the 90-day graft loss with a specificity of 80.8%, a sensitivity of 81.8%, and a positive and negative predictive value of 31 and 97.7%.

CONCLUSION

A MELD score of 16 or more on POD5 is an excellent predictor of outcome in ECD donor LT. Routine evaluation of POPMELD scores might support clinical decision-making and should be reported routinely in clinical trials.

Graft Reconditioning before Liver Transplantation

BACKGROUND

The high demand for livers for transplantation has led to organs of limited quality being accepted to expand the donor pool. This is associated with inferior outcomes due to more pronounced preservation injury. Accordingly, recent research has aimed to develop preservation modalities for improved preservation as well as strategies for liver viability assessment and liver reconditioning.

METHODS

The PubMed database was searched using the terms 'perfusion', 'liver', 'preservation', and 'reconditioning' in various combinations, and the according literature was reviewed.

RESULTS

Several perfusion techniques have been developed in recent years with the potential for liver reconditioning. Preclinical and first emerging clinical data suggest feasibility, safety, and superiority over the current gold standard of cold storage.

CONCLUSION

This review outlines current advances in the field of liver preservation with an emphasis on liver reconditioning methods.

Model for end-stage liver disease score in the first 3 weeks after liver transplantation as a predictor for long-term outcome

BACKGROUND

Early allograft dysfunction after liver transplantation (LTX) is not well defined. The aim of this study was to evaluate the value of early post-transplant model for end-stage liver disease (MELD) scores for predicting long-term outcome after transplantation.

METHODS

In this single-center retrospective study, 362 consecutive patients after LTX were included. MELD scores at 7, 14, and 21 postoperative days (PODs) were calculated from primary lab values. Receiver operating characteristic (ROC) analyses were carried out to determine the critical cutoff MELD scores for patient and graft survival.

RESULTS

One year after transplantation, the patient and graft survival rates were 85 and 69%, respectively. Although pretransplant MELD scores were similar, they were significantly different at POD7, POD14, and POD21 between patients who died and those who survived the first year after transplantation. As shown by ROC curves, for patient survival, the optimal time point is POD14 with a cutoff MELD of 17. At this time point, patients with a MELD below 17 showed a 1-year survival rate of 94.3% and patients with a MELD of 17 and higher showed a 1-year survival rate of only 75.4%. For graft survival, the optimal time point was day 7 and a cutoff MELD of 29 (92% at MELD<29; 56.4% at MELD≥29). A multivariate analysis of potential risk factors indicated a significant role of serum bilirubin and MELD score determined on POD14 for patient survival.

CONCLUSION

In conclusion, early postoperative MELD scores predict outcome after LTX. The postoperative MELD score at POD14 is a good predictor for patient survival and at POD7 for the graft survival after LTX.