1. Laboratory Test Variability and Model for End-Stage Liver Disease Score Calculation: Effect on Liver Allocation and Proposal for Adjustment
- Author
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Francesco B. Bianchi, Michele Masetti, Giulia Cavrini, Maurizio Capelli, Antonio Daniele Pinna, Stefano Faenza, Bruno Begliomini, Matteo Ravaioli, Fabrizio Di Benedetto, Giorgio Ballardini, Lorenza Ridolfi, Giorgio Enrico Gerunda, Nicola Venturoli, Gian Luca Grazi, Ravaioli M, Masetti M, Ridolfi L, Capelli M, Grazi GL, Venturoli N, Di Benedetto F, Bianchi FB, Cavrini G, Faenza S, Begliomini B, Pinna AD, Gerunda GE, and Ballardini G.
- Subjects
Male ,medicine.medical_treatment ,Waiting list ,Liver transplantation ,chemistry.chemical_compound ,Liver disease ,Model for End-Stage Liver Disease ,Reference Values ,Medicine ,Observer Variation ,Dropout ,Liver Diseases ,Liver Neoplasms ,Area under the curve ,Middle Aged ,Laboratory test ,Treatment Outcome ,ORGAN ALLOCATION ,Area Under Curve ,Creatinine ,Female ,Adult ,Bilirubin ,Carcinoma ,Hepatocellular ,Diagnostic Tests ,Routine ,Humans ,Laboratories ,Liver Failure ,Acute ,Liver Transplantation ,Patient Dropouts ,Patient Selection ,Reproducibility of Results ,Resource Allocation ,Waiting time ,medicine.medical_specialty ,Carcinoma, Hepatocellular ,Allocation ,NO ,Internal medicine ,Transplantation ,Receiver operating characteristic ,Diagnostic Tests, Routine ,business.industry ,Liver transplantation, Allocation, MELD, Waiting list, Dropout ,Liver Failure, Acute ,medicine.disease ,MELD ,Surgery ,chemistry ,business - 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
- Published
- 2007
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