D Olivari1, V Mainardi2, K Rando1, G Rey3, J Menendez1, J Prieto1, J Medina1, M Valverde1, J Castelli4, G Grecco4, A Leites1, G Zunini1, S Gozalez1, M Harguindeguy1, S Gerona1. 1. Hepatic Biliary and Pancreatic National Center-Teaching and Assistance Unit (UDA) from Uruguay University (UDELAR), Montevideo, Uruguay; National Liver Transplant Program, Hospital Central de las Fuerzas Armadas, Montevideo, Uruguay. 2. Hepatic Biliary and Pancreatic National Center-Teaching and Assistance Unit (UDA) from Uruguay University (UDELAR), Montevideo, Uruguay; National Liver Transplant Program, Hospital Central de las Fuerzas Armadas, Montevideo, Uruguay. Electronic address: victoria_mainardi@hotmail.com. 3. Hepatic Biliary and Pancreatic National Center-Teaching and Assistance Unit (UDA) from Uruguay University (UDELAR), Montevideo, Uruguay. 4. National Liver Transplant Program, Hospital Central de las Fuerzas Armadas, Montevideo, Uruguay.
Abstract
INTRODUCTION: Identification of predictive factors of mortality in a liver transplant (LT) program optimizes patient selection and allocation of organs. OBJECTIVE: To determine survival rates and predictive factors of mortality after LT in the National Liver Transplant Program of Uruguay. METHODS: A retrospective study was conducted analyzing data prospectively collected into a multidisciplinary database. All patients transplanted since the beginning of the program on July 2009 to April 2017 were included (n = 148). Twenty-nine factors were analyzed through the univariate Kaplan-Meier model. A Cox regression model was used in the multivariate analysis to identify the independent prognostic factors for survival. RESULTS: Overall survival was 92%, 87%, and 78% at discharge, 1 year, and 3 years, respectively. The Kaplan-Meier survival curves were significantly lower in: recipients aged >60 years, Model for End-Stage Liver Disease score >21, LT due to hepatocellular carcinoma (HCC) and acute liver failure (ALF), donors with comorbidities, intraoperative blood loss beyond the median (>2350 mL), red blood cell transfusion requirement beyond the median (>1254 mL), intraoperative complications, delay of extubation, invasive bacterial, and fungal infection after LT and stay in critical care unit >4 days. The Cox regression model (likelihood ratio test, P = 1.976 e-06) identified the following independent prognostic factors for survival: LT for HCC (hazard ratio [HR] 4.511; P = .001) and ALF (HR 6.346; P = .004), donors with comorbidities (HR 2.354; P = .041), intraoperative complications (HR 2.707; P = .027), and invasive fungal infections (HR 3.281; P = .025). CONCLUSION: The survival rates of LT patients as well as the mortality-associated factors are similar to those reported in the international literature.
INTRODUCTION: Identification of predictive factors of mortality in a liver transplant (LT) program optimizes patient selection and allocation of organs. OBJECTIVE: To determine survival rates and predictive factors of mortality after LT in the National Liver Transplant Program of Uruguay. METHODS: A retrospective study was conducted analyzing data prospectively collected into a multidisciplinary database. All patients transplanted since the beginning of the program on July 2009 to April 2017 were included (n = 148). Twenty-nine factors were analyzed through the univariate Kaplan-Meier model. A Cox regression model was used in the multivariate analysis to identify the independent prognostic factors for survival. RESULTS: Overall survival was 92%, 87%, and 78% at discharge, 1 year, and 3 years, respectively. The Kaplan-Meier survival curves were significantly lower in: recipients aged >60 years, Model for End-Stage Liver Disease score >21, LT due to hepatocellular carcinoma (HCC) and acute liver failure (ALF), donors with comorbidities, intraoperative blood loss beyond the median (>2350 mL), red blood cell transfusion requirement beyond the median (>1254 mL), intraoperative complications, delay of extubation, invasive bacterial, and fungal infection after LT and stay in critical care unit >4 days. The Cox regression model (likelihood ratio test, P = 1.976 e-06) identified the following independent prognostic factors for survival: LT for HCC (hazard ratio [HR] 4.511; P = .001) and ALF (HR 6.346; P = .004), donors with comorbidities (HR 2.354; P = .041), intraoperative complications (HR 2.707; P = .027), and invasive fungal infections (HR 3.281; P = .025). CONCLUSION: The survival rates of LT patients as well as the mortality-associated factors are similar to those reported in the international literature.
Authors: Mohammed A Nafea; Ayman Alsebaey; Ahmed Abd El Aal Sultan; Mohammed Hisham Goda; Ahmed Salman; Hanaa Said Rashed; Ahmed Soliman; Mai Elshenoufy; Mostafa Abdelrahman Journal: Ann Saudi Med Date: 2019-10-03 Impact factor: 1.526
Authors: Hyun Sik Chung; AMi Woo; Min Suk Chae; Sang Hyun Hong; Chul Soo Park; Jong Ho Choi; Yun Sung Jo Journal: Int J Med Sci Date: 2021-04-23 Impact factor: 3.738