title: Normalised intrinsic mortality risk in liver transplantation: European Liver Transplant Registry study.
abstract: BACKGROUND
  No model exists for liver transplantation to estimate the mortality risk in a given patient, and no standard by which to assess performance in different centres. We investigated the intrinsic mortality risk in the absence of known mortality risk factors.
  
  
  METHODS
  We identified mortality risk factors and risk ratios quantified in data from the European Liver Transplant Registry (22,089 patients at 102 centres in 18 countries) registered from 1988 to 1997. To develop a model of the intrinsic risk and the risk ratios for specific factors, univariate and multivariate analyses were done separately for the overall population, for adults, and for children younger than 15 years, and the number of deaths were estimated. We validated the model by comparing mortality in patients without risk factors with the model-adjusted mortality in patients with risk factors.
  
  
  RESULTS
  Overall 5-year and 8-year actuarial survival was 66% (95% CI 65-66) and 61% (60-62). 65% of deaths occurred within 6 months. Retransplantation, transplantation for cancer, acute liver failure, fewer than 20 split-liver grafts per year, and a centre workload of fewer than 25 transplants per year were the main risk factors of 12 identified factors. 1-year and 5-year death rates among adults with no risk factors were similar to model estimates (15 [13-16] vs 14% [13-15], and 22 (20-24) vs 23% [21-24]). Corresponding data for paediatric transplants were 9% (7-12) compared with 11% (9-12) and 13% (10-17) compared with 14% (11-16). The reduction of mortality risk in high-volume centres was even greater in patients without risk factors (48 vs 23%, p<0.001).
  
  
  CONCLUSIONS
  The normalised intrinsic mortality risk can be combined with the relative risk ratios of known risk factors to better estimate the mortality risk of a given procedure in a given patient. Centres can assess performance by removing potential bias of donor and recipient selection.
authors.affiliation: ELTR Coordinating Centre, Paul Brousse Hospital, Villejuif, France. rene.adam@pbr.ap-hop-paris.fr
authors.forename: R
authors.initials: R
authors.lastname: Adam
authors.forename: V
authors.initials: V
authors.lastname: Cailliez
authors.forename: P
authors.initials: P
authors.lastname: Majno
authors.forename: V
authors.initials: V
authors.lastname: Karam
authors.forename: P
authors.initials: P
authors.lastname: McMaster
authors.forename: R Y
authors.initials: RY
authors.lastname: Caine
authors.forename: J
authors.initials: J
authors.lastname: O'Grady
authors.forename: R
authors.initials: R
authors.lastname: Pichlmayr
authors.forename: P
authors.initials: P
authors.lastname: Neuhaus
authors.forename: J B
authors.initials: JB
authors.lastname: Otte
authors.forename: K
authors.initials: K
authors.lastname: Hoeckerstedt
authors.forename: H
authors.initials: H
authors.lastname: Bismuth
mesh_terms: D000293:Adolescent; D000328:Adult; D000367:Age Factors; D000704:Analysis of Variance; D002423:Cause of Death; D002648:Child; D002675:Child, Preschool; D005060:Europe; D005260:Female; D006268:Health Facilities / Q000706:statistics & numerical data; D006801:Humans; D007223:Infant; D016031:Liver Transplantation / Q000401:mortality*; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D016017:Odds Ratio; D012042:Registries; D012189:Retrospective Studies; D018570:Risk Assessment; D012307:Risk Factors; D012737:Sex Factors; D015996:Survival Rate