Literature DB >> 26545081

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

Andrej Khandoga1, Emil Iskandarov, Martin Angele, Alexander Gerbes, Lorenz Frey, Böyükkishi Ağayev, Karl-Walter Jauch, Jens Werner, Markus Guba.   

Abstract

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.

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Year:  2016        PMID: 26545081     DOI: 10.1097/MEG.0000000000000505

Source DB:  PubMed          Journal:  Eur J Gastroenterol Hepatol        ISSN: 0954-691X            Impact factor:   2.566


  4 in total

1.  Model for end-stage liver disease score predicts complications after liver transplantation.

Authors:  Hans-Christian Pommergaard; Thomas Røjkjær Daugaard; Andreas Arendtsen Rostved; Nicolai Aagaard Schultz; Jens Hillingsø; Paul Suno Krohn; Allan Rasmussen
Journal:  Langenbecks Arch Surg       Date:  2020-11-02       Impact factor: 3.445

2.  The combination of indocyanine green clearance test and model for end-stage liver disease score predicts early graft outcome after liver transplantation.

Authors:  Tang Yunhua; Ju Weiqiang; Chen Maogen; Yang Sai; Zhang Zhiheng; Wang Dongping; Guo Zhiyong; He Xiaoshun
Journal:  J Clin Monit Comput       Date:  2017-08-22       Impact factor: 2.502

3.  The utility of early post-liver transplantation model for end-stage liver disease score in prediction of long-term mortality.

Authors:  Habibollah Dashti; Amirpasha Ebrahimi; Niloofar Razavi Khorasani; Bobak Moazzami; Fatemeh Khojasteh; Sedighe Hosseini Shabanan; Ali Jafarian
Journal:  Ann Gastroenterol       Date:  2019-10-01

Review 4.  The Edge of Unknown: Postoperative Critical Care in Liver Transplantation.

Authors:  Fuat H Saner; Dieter P Hoyer; Matthias Hartmann; Knut M Nowak; Dmitri Bezinover
Journal:  J Clin Med       Date:  2022-07-12       Impact factor: 4.964

  4 in total

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