title: Outcome predictors and new score of critically ill cirrhotic patients with acute renal failure.
abstract: BACKGROUND
  End-stage liver disease is often complicated by renal function disturbances. Cirrhotic patients with acute renal failure admitted to intensive care units (ICUs) have high mortality rates. This work seeks to identify specific predictors of hospital mortality in critically ill cirrhotic patients with acute renal failure.
  
  
  METHODS
  A total of 111 patients with cirrhosis and acute renal failure were admitted to ICU from March 2003 to February 2005. Twenty-six demographic, clinical and laboratory variables were prospectively gathered as predictors of survival on the first day of ICU admission.
  
  
  RESULTS
  The overall hospital mortality rate was 81.1%. The univariate analysis identified 11 of the 32 variables as prognostically valuable. The multiple logistic regression analysis (excluding five scoring systems) indicates that the mean arterial pressure (MAP), serum bilirubin, respiratory failure and sepsis on the first day in ICU are significantly related to prognosis. The best Youden index (sensitivity + specificity - 1) yields cutoff points of 80 MAP (in mmHg) and 80 serum bilirubin (in micromol/L) (or 4.7 mg/dL) and indicates acute respiratory failure and sepsis. A simple model for mortality is developed on the basis of these four readily available parameters on Day 1 of ICU admission. The new score (MBRS score: MAP + bilirubin + respiratory failure + sepsis) displays an excellent area under the receiver operating characteristic curve (0.898 +/- 0.031, P < 0.001). The mortality rate exceeds 90% when the MBRS (MAP + bilirubin + respiratory failure + sepsis) score is 2 or higher.
  
  
  CONCLUSIONS
  The MBRS score is a straightforward, reproducible and easily adopted evaluative tool with good prognostic abilities, which generates objective data for patient families and physicians and supplements a clinical judgment of prognosis.
authors.affiliation: Department of Nephrology, Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Taipei, Taiwan.
authors.forename: Ji-Tseng
authors.initials: JT
authors.lastname: Fang
authors.forename: Ming-Hung
authors.initials: MH
authors.lastname: Tsai
authors.forename: Ya-Chung
authors.initials: YC
authors.lastname: Tian
authors.forename: Chang-Chyi
authors.initials: CC
authors.lastname: Jenq
authors.forename: Chan-Yu
authors.initials: CY
authors.lastname: Lin
authors.forename: Yung-Chang
authors.initials: YC
authors.lastname: Chen
authors.forename: Jau-Min
authors.initials: JM
authors.lastname: Lien
authors.forename: Pan-Chi
authors.initials: PC
authors.lastname: Chen
authors.forename: Chih-Wei
authors.initials: CW
authors.lastname: Yang
mesh_terms: D018806:APACHE; D017677:Age Distribution; D000368:Aged; D000369:Aged, 80 and over; D000704:Analysis of Variance; D002423:Cause of Death; D015331:Cohort Studies; D015897:Comorbidity; D016638:Critical Illness / Q000401:mortality* / Q000628:therapy; D005260:Female; D017052:Hospital Mortality / Q000639:trends*; D006801:Humans; D007362:Intensive Care Units; D053208:Kaplan-Meier Estimate; D007676:Kidney Failure, Chronic / Q000175:diagnosis / Q000401:mortality* / Q000628:therapy; D008103:Liver Cirrhosis / Q000175:diagnosis / Q000401:mortality* / Q000628:therapy; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D011237:Predictive Value of Tests; D011336:Probability; D011379:Prognosis; D012189:Retrospective Studies; D018570:Risk Assessment; D017678:Sex Distribution; D018709:Statistics, Nonparametric; D016019:Survival Analysis