| Literature DB >> 32185866 |
Thierry Artzner1, Baptiste Michard1,2, Emmanuel Weiss3,4, Louise Barbier5,6, Zair Noorah7, Jean-Claude Merle7, Catherine Paugam-Burtz3,4, Claire Francoz4,8, François Durand4,8, Olivier Soubrane4,9, Tasneem Pirani10, Eleni Theocharidou10, John O'Grady10, William Bernal10, Nigel Heaton10, Ephrem Salamé5,6, Petru Bucur5,6, Hélène Barraud6,11, François Lefebvre12, Lawrence Serfaty13, Camille Besch2, Philippe Bachellier2, Francis Schneider1,14, Eric Levesque7, François Faitot2,15.
Abstract
The aim of this study was to produce a prognostic model to help predict posttransplant survival in patients transplanted with grade-3 acute-on-chronic liver failure (ACLF-3). Patients with ACLF-3 who underwent liver transplantation (LT) between 2007 and 2017 in 5 transplant centers were included (n = 152). Predictors of 1-year mortality were retrospectively screened and tested on a single center training cohort and subsequently tested on an independent multicenter cohort composed of the 4 other centers. Four independent pretransplant risk factors were associated with 1-year mortality after transplantation in the training cohort: age ≥53 years (P = .044), pre-LT arterial lactate level ≥4 mml/L (P = .013), mechanical ventilation with PaO2 /FiO2 ≤ 200 mm Hg (P = .026), and pre-LT leukocyte count ≤10 G/L (P = .004). A simplified version of the model was derived by assigning 1 point to each risk factor: the transplantation for Aclf-3 model (TAM) score. A cut-off at 2 points distinguished a high-risk group (score >2) from a low-risk group (score ≤2) with 1-year survival of 8.3% vs 83.9% respectively (P < .001). This model was subsequently validated in the independent multicenter cohort. The TAM score can help stratify posttransplant survival and identify an optimal transplantation window for patients with ACLF-3.Entities:
Keywords: acute-on-chronic liver failure; clinical research/practice; ethics; ethics and public policy; liver disease; liver transplantation; liver transplantation/hepatology; organ allocation; organ procurement and allocation
Mesh:
Year: 2020 PMID: 32185866 DOI: 10.1111/ajt.15852
Source DB: PubMed Journal: Am J Transplant ISSN: 1600-6135 Impact factor: 8.086