| Author | Basile Filho, Anibal | |
| Author | Nicolini, Edson Antonio | |
| Author | Martins, Maria Auxiliadora | |
| Author | Teixeira, Gil Cezar Alkmin | |
| Author | Martinez, Edson Zangiacomi | |
| Author | Martins Filho, Olindo Assis | |
| Author | Silva, Orlando Castro e | |
| Access date | 2023-07-21T19:14:38Z | |
| Available date | 2023-07-21T19:14:38Z | |
| Document date | 2011 | |
| Citation | BASILE-FILHO Anibal et al. Comparison of acute physiology and chronic health evaluation II death risk, Child-Pugh, Charlson, and model for end-stage liver disease indexes to predict early mortality after liver transplantation. Transplant Proc., v. 43, n. 5, p. 1660-1664, 2011. doi: 10.1016/j.transproceed.2010.11.029. | en_US |
| ISSN | 0041-1345 | en_US |
| URI | https://www.arca.fiocruz.br/handle/icict/59721 | |
| Language | eng | en_US |
| Publisher | Elsevier Science Inc. | en_US |
| Rights | restricted access | |
| Title | Comparison of Acute Physiology and Chronic Health Evaluation II Death Risk, Child-Pugh, Charlson, and Model for End-stage Liver Disease Indexes to Predict Early Mortality After Liver Transplantation | en_US |
| Type | Article | |
| DOI | 10.1016/j.transproceed.2010.11.029 | |
| Abstract | Objective. This study sought to determine which prognostic index was the most efficient to predict early (1-month) mortality of patients undergoing orthotopic liver transplantation (OLT). Materials and methods. This retrospective study included 63 patients including 49 males and 14 females of overall median age 51.6 +/- 9.7 years who were admitted to the intensive care unit (ICU) of a tertiary hospital. The Acute Physiology and Chronic Health Evaluation II (APACHE II) death risk, Child-Pugh, Charlson, and Model for End-stage Liver Disease (MELD) indices pre-OLT and post-OLT were analyzed by generation of receiver operating characteristic (ROC) curves to determine the area under the ROC curve (AUC), as a predictive factor for each index. The level of significance was set at P < .05. Results. The general 1-month posttransplantation mortality rate of OLT patients was 19% (n = 12 p). The AUC was 0.81 (confidence interval [CI] = 0.66-0.96; sensitivity = 72.5; specificity = 83.3) for APACHE II death risk; 0.74 (CI = 0.57-0.92; sensitivity = 76.5; specificity = 66.7) for MELD post-OLT; 0.70 (CI = 0.54-0.85; sensitivity = 64.7; specificity = 66.7) for Child-Pugh; 0.57 (CI = 0.36-0.78; sensitivity = 74.5; specificity = 50.0) for Charlson; and 0.50 (CI = 0.32-0.69; sensitivity = 98.0; specificity = 16.7) for MELD Pre-OLT. Conclusion. Among the studied indices, the APACHE II death risk scoring system was the most effective to predict early mortality after OLT | en_US |
| Affilliation | Intensive Care Division. Department of Surgery and Anatomy. Ribeirão Preto University of São Paulo. Ribeirão Preto, SP, Brazil | en_US |
| Affilliation | Intensive Care Division. Department of Surgery and Anatomy. Ribeirão Preto University of São Paulo. Ribeirão Preto, SP, Brazil | en_US |
| Affilliation | Intensive Care Division. Department of Surgery and Anatomy. Ribeirão Preto University of São Paulo. Ribeirão Preto, SP, Brazil | en_US |
| Affilliation | Intensive Care Division. Department of Surgery and Anatomy. Ribeirão Preto University of São Paulo. Ribeirão Preto, SP, Brazil | en_US |
| Affilliation | Social Medicine Department. Ribeirão Preto University of São Paulo. Ribeirão Preto, SP, Brazil | en_US |
| Affilliation | Laboratory of Biomarkers. René Rachou Institute. Oswaldo Cruz Foundation. Belo Horizonte, MG, Brazil | en_US |
| Affilliation | Special Liver Transplantation Unit. Department of Surgery and Anatomy. Ribeirão Preto University of São Paulo. Ribeirão Preto, SP, Brazil | en_US |
| Embargo date | 2099-12-31 | |
