Change in model for end-stage liver disease score on the transplant waiting list predicts survival in patients undergoing liver transplantation
Article first published online: 4 SEP 2006
DOI: 10.1111/j.1432-2277.2006.00377.x
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How to Cite
Foxton, M. R., Kendrick, S., Sizer, E., Muiesan, P., Rela, M., Wendon, J., Heaton, N. D., O'Grady, J. G. and Heneghan, M. A. (2006), Change in model for end-stage liver disease score on the transplant waiting list predicts survival in patients undergoing liver transplantation. Transplant International, 19: 988–994. doi: 10.1111/j.1432-2277.2006.00377.x
Publication History
- Issue published online: 4 SEP 2006
- Article first published online: 4 SEP 2006
- Received: 16 March 2006 Revision requested: 11 April 2006 Accepted: 11 July 2006
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Keywords:
- prognostic models;
- survival;
- waiting list mortality
Summary
Allocation of donor livers through the model for end-stage liver disease (MELD) score has resulted in a fall in waiting list deaths in the United States. Change in MELD score (ΔMELD) whilst awaiting transplant has been suggested as a method of refining organ allocation. Our aims were to analyse the effect of ΔMELD between listing and transplant, and examine its impact on patient survival, intensive care stay and hospital stay in 402 patients transplanted for chronic liver disease at a single centre. Patients who had a ΔMELD score of >+1 point were more likely to die in hospital following transplant (P < 0.05) and had a significantly worse 12- and 36-month survival post transplant (P < 0.0001) when compared with patients with ΔMELD ≤+1 (77.8% vs. 91.9% at 12 months; 72.1% vs. 83.6% at 36 months). This difference persisted even when in-hospital deaths were excluded (P = 0.0148). In a Cox-proportional hazards model, factors associated with reduced survival were ΔMELD (P = 0.008), and transplant from intensive care (P < 0.001). In conclusion, change in MELD score whilst on the transplant waiting list has a significant effect on survival post-transplant although MELD score at the time of transplant appears to have the most significant effect on resource utilization.

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