title: Confirmation of the role of the Mayo Risk Score as a predictor of resource utilization after orthotopic liver transplantation for primary biliary cirrhosis.
abstract: Resource utilization is an important consideration when patients are selected for orthotopic liver transplantation (OLT). The Mayo Risk Score has been proposed to help predict optimum time for OLT. We assessed the relation between Mayo risk score, Child-Pugh score, and resource utilization and outcome after OLT for primary biliary cirrhosis. The mean Mayo risk score was greater in patients who died than in the survivors (8.6 +/- 1.4 v 7.1 +/- 1.8; P <.05). There was a positive correlation between Mayo risk score and the 4 resource variables studied (intraoperative blood requirements, time ventilated, and duration of intensive care unit and hospital stays). Patients with a Mayo risk score greater than 7.8 used almost twice the resources of patients with a risk score less than 7.8. A positive correlation also existed between Child-Pugh score and duration of hospital stay. The mean Child-Pugh score in patients who died was greater than that in survivors (10.7 +/- 2.0 v 8.5 +/- 2.8, P =.03). This study confirms that Mayo Risk score is an important predictor of resource utilization and outcome after OLT.
authors.affiliation: Queensland Liver Transplant Service, Princess Alexandra Hospital, Brisbane, Australia.
authors.forename: R K
authors.initials: RK
authors.lastname: Gilroy
authors.forename: S V
authors.initials: SV
authors.lastname: Lynch
authors.forename: R W
authors.initials: RW
authors.lastname: Strong
authors.forename: P
authors.initials: P
authors.lastname: Kerlin
authors.forename: G A
authors.initials: GA
authors.lastname: Balderson
authors.forename: K A
authors.initials: KA
authors.lastname: Stuart
authors.forename: D H
authors.initials: DH
authors.lastname: Crawford
mesh_terms: D002423:Cause of Death; D006801:Humans; D008105:Liver Cirrhosis, Biliary / Q000401:mortality / Q000601:surgery*; D016031:Liver Transplantation / Q000401:mortality*; D008875:Middle Aged; D011379:Prognosis; D016016:Proportional Hazards Models; D011793:Queensland / Q000453:epidemiology; D012189:Retrospective Studies; D018570:Risk Assessment / Q000706:statistics & numerical data*; D015996:Survival Rate