title: Laboratory test variability and model for end-stage liver disease score calculation: effect on liver allocation and proposal for adjustment.
abstract: BACKGROUND
  The use of the Model for End-Stage Liver Disease (MELD) score to prioritize patients on liver waiting lists must take the bias of different laboratories into account.
  
  
  METHODS
  We evaluated the outcome of 418 patients listed during 1 year whose MELD score was computed by two laboratories (lab 1 and lab 2). The two labs had different normality ranges for bilirubin (maximal normal value [Vmax]: 1.1 for lab 1 and 1.2 for lab 2) and creatinine (Vmax: 1.2 for lab 1 and 1.4 for lab 2). The outcome during the waiting time was evaluated by considering the liver transplantations and the dropouts, which included deaths on the list, tumor progression, and patients who were too sick.
  
  
  RESULTS
  Although the clinical features of patients were similar between the two laboratories, 36 (13.1%) out of 275 were dropped from the list in lab 1, compared to 5 (3.5%) out of 143 in lab 2 (P<0.01). The differences were mainly due to the deaths on the list (8% lab 1 vs. 2.1% lab 2, P<0.05). The competing risk analysis confirmed the different risk of dropout between the two labs independently of the MELD score, blood group, and preoperative diagnosis. The bias on MELD calculation was considered and bilirubin and creatinine values were "normalized" to Vmax of lab 1 (corrected value=measured value x Vmax lab 1/Vmax lab 2). By comparing receiver operating characteristic curves, the ability of MELD to predict the 6-month dropouts significantly increased from an area under the curve of 0.703 to 0.716 after "normalization" (P<0.05).
  
  
  CONCLUSIONS
  Normalization of MELD is a correct and good compromise to avoid systematic bias due to different laboratory methods.
authors: Liver and Multiorgan Transplantation, Sant'Orsola-Malpighi Hospital, University of Bologna, Bologna, Italy.
authors: Matteo
authors: M
authors: Ravaioli
authors: Michele
authors: M
authors: Masetti
authors: Lorenza
authors: L
authors: Ridolfi
authors: Maurizio
authors: M
authors: Capelli
authors: Gian Luca
authors: GL
authors: Grazi
authors: Nicola
authors: N
authors: Venturoli
authors: Fabrizio
authors: F
authors: Di Benedetto
authors: Francesco Bianco
authors: FB
authors: Bianchi
authors: Giulia
authors: G
authors: Cavrini
authors: Stefano
authors: S
authors: Faenza
authors: Bruno
authors: B
authors: Begliomini
authors: Antonio Daniele
authors: AD
authors: Pinna
authors: Giorgio Enrico
authors: GE
authors: Gerunda
authors: Giorgio
authors: G
authors: Ballardini
mesh_terms: D000328:Adult; D019540:Area Under Curve; D001663:Bilirubin / Q000097:blood; D006528:Carcinoma, Hepatocellular / Q000601:surgery; D003404:Creatinine / Q000097:blood; D003955:Diagnostic Tests, Routine / Q000592:standards*; D005260:Female; D006801:Humans; D007753:Laboratories / Q000592:standards*; D008107:Liver Diseases / Q000145:classification* / Q000601:surgery*; D017114:Liver Failure, Acute / Q000601:surgery*; D008113:Liver Neoplasms / Q000601:surgery; D016031:Liver Transplantation / Q000706:statistics & numerical data*; D008297:Male; D008875:Middle Aged; D015588:Observer Variation; D010352:Patient Dropouts; D018579:Patient Selection; D012016:Reference Values; D015203:Reproducibility of Results; D040841:Resource Allocation / Q000706:statistics & numerical data*; D016896:Treatment Outcome
chemical_list: D003404:Creatinine; D001663:Bilirubin