Prediction of postoperative mortality in liver transplantation in the era of MELD-based liver allocation

• Verfasst von: Bruns, Helge [VerfasserIn]
• Verfasst von: Lozanovski, Vladimir J. [VerfasserIn]
• Verfasst von: Schultze, Daniel [VerfasserIn]
• Verfasst von: Hillebrand, Norbert [VerfasserIn]
• Verfasst von: Hinz, Ulf [VerfasserIn]
• Verfasst von: Büchler, Markus W. [VerfasserIn]
• Verfasst von: Schemmer, Peter [VerfasserIn]
• Titel: Prediction of postoperative mortality in liver transplantation in the era of MELD-based liver allocation
• Titelzusatz: a multivariate analysis
• Verf.angabe: Helge Bruns, Vladimir J. Lozanovski, Daniel Schultze, Norbert Hillebrand, Ulf Hinz, Markus W. Büchler, Peter Schemmer
• E-Jahr: 2014
• Jahr: June 6, 2014
• Fussnoten: Gesehen am 10.08.2020
• Titel Quelle: Enthalten in: PLOS ONE
• Ort Quelle: San Francisco, California, US : PLOS, 2006
• Jahr Quelle: 2014
• Band/Heft Quelle: 9(2014,6) Artikel-Nummer e98782, 8 Seiten
• ISSN Quelle: 1932-6203
• DOI: doi:10.1371/journal.pone.0098782
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Cardiovascular disease risk
• Sach-SW: Coronary heart disease
• Sach-SW: Death rates
• Sach-SW: Liver diseases
• Sach-SW: Liver transplantation
• Sach-SW: Medical risk factors
• Sach-SW: Multivariate analysis
• Sach-SW: Surgical and invasive medical procedures
• K10plus-PPN: 1726708233

Abstract

Background and Aims Liver transplantation is the only curative treatment for end-stage liver disease. While waiting list mortality can be predicted by the MELD-score, reliable scoring systems for the postoperative period do not exist. This study's objective was to identify risk factors that contribute to postoperative mortality. Methods Between December 2006 and March 2011, 429 patients underwent liver transplantation in our department. Risk factors for postoperative mortality in 266 consecutive liver transplantations were identified using univariate and multivariate analyses. Patients who were <18 years, HU-listings, and split-, living related, combined or re-transplantations were excluded from the analysis. The correlation between number of risk factors and mortality was analyzed. Results A labMELD ≥20, female sex, coronary heart disease, donor risk index >1.5 and donor Na+>145 mmol/L were identified to be independent predictive factors for postoperative mortality. With increasing number of these risk-factors, postoperative 90-day and 1-year mortality increased (0-1: 0 and 0%; 2: 2.9 and 17.4%; 3: 5.6 and 16.8%; 4: 22.2 and 33.3%; 5-6: 60.9 and 66.2%). Conclusions In this analysis, a simple score was derived that adequately identified patients at risk after liver transplantation. Opening a discussion on the inclusion of these parameters in the process of organ allocation may be a worthwhile venture.