title: Increased model for end-stage liver disease score at the time of liver transplant results in prolonged hospitalization and overall intensive care unit costs.
abstract: Organ allocation based on Model for End-Stage Liver Disease (MELD) resulted in decreased waiting list mortality in the United States. However, reports suggest an increase in resource utilization as a consequence of this. The aim of this study is to assess the correlation of MELD at transplant with post-liver transplant (LT) intensive care unit (ICU) costs. We assessed clinical and demographic variables of 402 adult patients who underwent LT at King's College Hospital, London, UK, between January 2000 and December 2003. ICU cost calculations were based on the therapeutic intervention scoring system (TISS). Graft quality was assessed using the donor risk index (DRI). Patients with a MELD score > 24 had significantly longer post-LT ICU stay (P < 0.0001) and total post-LT hospital stay (P = 0.008). In addition, they had significantly increased TISS scores, ICU cost, and need for renal replacement therapy (RRT) (P < 0.001). MELD score (by point) and MELD > 24 was associated with prolonged ICU stay (P = 0.004 and P = 0.005, respectively). On univariate analysis, etiology of alcohol-related liver disease (ALD), repeat LT, Budd-Chiari syndrome, and refractory ascites were associated with prolonged ICU stay. Using multivariate analysis, MELD > 24, refractory ascites, ALD and Budd-Chiari syndrome were associated with prolonged ICU stay. There was no association between using grafts with higher DRI and longer ICU stay, need for RRT, increased cost, or hospital survival on univariate analyses (P = not significant). Use of MELD as a method of organ allocation results in significant increase in ICU cost after LT. Using TISS as surrogate marker for ICU costs reveals that the cost implications are related to the need for RRT and prolonged ICU stay.
authors.affiliation: Institute of Liver Studies, Kings' College Hospital, London, UK.
authors.forename: Matthew R
authors.initials: MR
authors.lastname: Foxton
authors.forename: Mohammad A B
authors.initials: MA
authors.lastname: Al-Freah
authors.forename: Andrew J
authors.initials: AJ
authors.lastname: Portal
authors.forename: Elizabeth
authors.initials: E
authors.lastname: Sizer
authors.forename: William
authors.initials: W
authors.lastname: Bernal
authors.forename: Georg
authors.initials: G
authors.lastname: Auzinger
authors.forename: Mohamed
authors.initials: M
authors.lastname: Rela
authors.forename: Julia A
authors.initials: JA
authors.lastname: Wendon
authors.forename: Nigel D
authors.initials: ND
authors.lastname: Heaton
authors.forename: John G
authors.initials: JG
authors.lastname: O'Grady
authors.forename: Michael A
authors.initials: MA
authors.lastname: Heneghan
mesh_terms: D005260:Female; D017048:Health Care Costs; D006760:Hospitalization / Q000191:economics*; D006801:Humans; D007362:Intensive Care Units / Q000191:economics*; D017093:Liver Failure / Q000191:economics* / Q000401:mortality / Q000601:surgery*; D016031:Liver Transplantation / Q000191:economics* / Q000401:mortality; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D017059:Models, Econometric; D015999:Multivariate Analysis; D011183:Postoperative Complications / Q000191:economics; D017582:Renal Replacement Therapy / Q000191:economics; D012307:Risk Factors; D012720:Severity of Illness Index; D014019:Tissue Donors; D009927:Tissue and Organ Procurement / Q000191:economics; D006113:United Kingdom / Q000453:epidemiology; D014850:Waiting Lists