title: Model for end-stage liver disease score versus simplified acute physiology score criteria in acute renal failure after liver transplantation.
abstract: Hepatic function and renal failure are closely related among patients with end-stage liver disease (ESLD) due to splanchnic hemodynamic mechanisms that characterize advanced decompensated cirrhosis. Acute renal failure (ARF) is a frequent complication that occurs immediately post-orthotopic liver transplantation (OLT). The Model for End-stage Liver Disease (MELD) score describes the survival of patients with ESLD awaiting OLT related to the severity of liver disease. The Simplified Acute Physiology Score (SAPS II) is a mortality prediction model that scores the severity of illness among intensive care unit patients. In a previous study we observed an association between ARF post-OLT and a higher MELD score, but it was not clear whether this association depends on the grade of ESLD or on the critical condition of liver transplant patients. The aim of this study was to evaluate the association of ARF with MELD score and/or SAPS II criteria among liver transplant patients. We analyzed 46 patients with ESLD who underwent deceased donor OLT. All patients were evaluated at baseline and in the first 7 days post-OLT. According to the RIFLE classification, the incidence of the worst grade of ARF post-OLT was 19.2%. These patients showed significantly higher MELD scores, while there was no association with systemic parameters related to the critical patient's condition or with the mortality score as evaluated by SAPS II criteria. We confirmed the association between renal failure and hepatic function among liver transplant patients. A more severe degree of hepatic dysfunction before OLT was associated with a greater incidence of ARF that can adversely affect patient survival.
authors.affiliation: Department of Clinical Medicine, Nephrology and Dialysis Unit, Sapienza University of Rome, Rome, Italy.
authors.forename: I
authors.initials: I
authors.lastname: Umbro
authors.forename: F
authors.initials: F
authors.lastname: Tinti
authors.forename: M
authors.initials: M
authors.lastname: Mordenti
authors.forename: M
authors.initials: M
authors.lastname: Rossi
authors.forename: S
authors.initials: S
authors.lastname: Ianni
authors.forename: F
authors.initials: F
authors.lastname: Pugliese
authors.forename: F
authors.initials: F
authors.lastname: Ruberto
authors.forename: S
authors.initials: S
authors.lastname: Ginanni Corradini
authors.forename: I
authors.initials: I
authors.lastname: Nofroni
authors.forename: L
authors.initials: L
authors.lastname: Poli
authors.forename: P B
authors.initials: PB
authors.lastname: Berloco
authors.forename: A P
authors.initials: AP
authors.lastname: Mitterhofer
mesh_terms: D058186:Acute Kidney Injury / Q000209:etiology* / Q000401:mortality / Q000503:physiopathology; D000328:Adult; D000368:Aged; D058625:End Stage Liver Disease / Q000175:diagnosis / Q000401:mortality / Q000503:physiopathology / Q000601:surgery*; D005260:Female; D005919:Glomerular Filtration Rate; D006305:Health Status Indicators; D006801:Humans; D015994:Incidence; D007558:Italy; D016031:Liver Transplantation / Q000009:adverse effects* / Q000401:mortality; D008297:Male; D008875:Middle Aged; D011237:Predictive Value of Tests; D018570:Risk Assessment; D012307:Risk Factors; D012720:Severity of Illness Index; D013997:Time Factors; D016896:Treatment Outcome