title: Model for end-stage liver disease-based allocation system for liver transplantation in Argentina: does it work outside the United States?
abstract: BACKGROUND
  In July 2005, Argentina was the first country after the United States to adopt the MELD system. The purpose of the present study was to analyse the impact of this new system on the adult liver waiting list (WL).
  
  
  METHODS
  Between 2005 and 2009, 1773 adult patients were listed for liver transplantation: 150 emergencies and 1623 electives. Elective patients were categorized using the MELD system. A prospective database was used to analyse mortality and probability to be transplanted (PTBT) on the WL.
  
  
  RESULTS
  The waiting time increased inversely with the MELD score and PTBT positively correlated with MELD score. With scores >/= 18 the PTBT remained over 50%. However, the largest MELD subgroup with <10 points (n = 433) had the lower PTBT (3%). In contrast, patients with T(2) hepatocellular carcinoma benefited excessively with the highest PTBT (84.2%) and the lowest mortality rate (5.4%). The WL mortality increased after MELD adoption (10% vs. 14.8% vs. P < 0.01). Patients with <10 MELD points had >fourfold probability of dying on the WL than PTBT (14.3% vs. 3%; P < 0.0001).
  
  
  CONCLUSIONS
  After MELD implementation, WL mortality increased and most patients who died had a low MELD score. A comprehensive revision of the MELD system must be performed to include cultural and socio-economical variables that could affect each country individually.
authors.affiliation: Liver Transplant Unit, Hospital Alemán of Buenos Aires, Buenos Aires, Argentina. lmccormack@hospitalaleman.com
authors.forename: L
authors.initials: L
authors.lastname: McCormack
authors.forename: A
authors.initials: A
authors.lastname: Gadano
authors.forename: J
authors.initials: J
authors.lastname: Lendoire
authors.forename: O
authors.initials: O
authors.lastname: Imventarza
authors.forename: O
authors.initials: O
authors.lastname: Andriani
authors.forename: O
authors.initials: O
authors.lastname: Gil
authors.forename: L
authors.initials: L
authors.lastname: Toselli
authors.forename: L
authors.initials: L
authors.lastname: Bisigniano
authors.forename: E
authors.initials: E
authors.lastname: de Santibañes
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D001118:Argentina; D016009:Chi-Square Distribution; D005260:Female; D015276:Health Care Rationing; D006305:Health Status Indicators; D054625:Healthcare Disparities; D006801:Humans; D008107:Liver Diseases / Q000175:diagnosis / Q000401:mortality / Q000601:surgery*; D016031:Liver Transplantation / Q000009:adverse effects / Q000401:mortality; D008297:Male; D008875:Middle Aged; D009367:Neoplasm Staging; D018579:Patient Selection; D011237:Predictive Value of Tests; D018570:Risk Assessment; D012307:Risk Factors; D012720:Severity of Illness Index; D013997:Time Factors; D014019:Tissue Donors / Q000600:supply & distribution*; D009927:Tissue and Organ Procurement; D016896:Treatment Outcome; D014481:United States; D014850:Waiting Lists / Q000401:mortality; D055815:Young Adult
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