title: Model for end-stage liver disease can predict very early outcome after liver transplantation.
abstract: Postoperative Model for End-stage Liver Disease (MELD) values have never been assessed to predict very early (<1 week) death after liver transplantation (OLT). We retrospectively reviewed 275 consecutive OLTs performed in 252 recipients reported in a prospective database. We calculated the MELD score (pre-MELD) and consecutive postoperative MELD (post-MELD) scores computed daily during the first postoperative week and on days 15 and 30 after OLT. Post-MELD scores from nonsurviving recipients displayed on a scatterplot of immediate probability of death were adjusted to the best goodness-of-fit curve, and, finally, depicted graphically as a receiver operating characteristic (ROC) curve. Nonsurviving recipients showed higher post-MELD scores: day 1: 23.5 versus 16.6 (P = .05); day 3: 25.1 versus 12.5 (P = .000); day 5: 25.7 versus 11.8 (P = .000); and day 7: 22.1 versus 10.2 (P = .000). Overall comparisons were performed using a time-dependent general linear regression model, revealing higher post-MELD scores for nonsurviving recipients, irrespective of postoperative time (P = .002). The best goodness-of-fit curve was displayed when adjusting to a theoretical exponential regression curve calculated as follows: Probability of dying within the first week (%) = 3.36 x e(0.079 x (post-MELD)) (r = .89; P = .000). The area under the ROC curve was 0.783 (95% confidence interval, 0.630-0.935; P = .001). The model had a positive predictive value of 82.3%, a negative predictive value of 33.1%, and an accuracy of 79.2%. In conclusion, this study corroborated the suggestion that the MELD score may serve as a reliable tool to assess very early death after OLT.
authors.affiliation: Liver Transplantation Unit, Hospital Reina Sofía, Cordoba, Spain. javibriceno@hotmail.com
authors.forename: J
authors.initials: J
authors.lastname: Briceño
authors.forename: J M
authors.initials: JM
authors.lastname: Sánchez-Hidalgo
authors.forename: A
authors.initials: A
authors.lastname: Naranjo
authors.forename: R
authors.initials: R
authors.lastname: Ciria
authors.forename: J C
authors.initials: JC
authors.lastname: Pozo
authors.forename: A
authors.initials: A
authors.lastname: Luque
authors.forename: M
authors.initials: M
authors.lastname: de la Mata
authors.forename: S
authors.initials: S
authors.lastname: Rufián
authors.forename: P
authors.initials: P
authors.lastname: López-Cillero
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D016001:Confidence Intervals; D016208:Databases, Factual; D005260:Female; D006801:Humans; D017093:Liver Failure / Q000145:classification* / Q000601:surgery*; D016031:Liver Transplantation / Q000401:mortality / Q000502:physiology*; D008297:Male; D008875:Middle Aged; D011184:Postoperative Period; D011237:Predictive Value of Tests; D011300:Preoperative Care; D011336:Probability; D012372:ROC Curve; D012086:Reoperation / Q000706:statistics & numerical data; D012189:Retrospective Studies; D015996:Survival Rate; D017741:Survivors; D017211:Treatment Failure; D016896:Treatment Outcome; D055815:Young Adult