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Anaesthesia for Liver Transplantation: An Update Cover

Abstract

Liver transplantation (LT) is a challenging surgery performed on patients with complex physiology profiles, complicated by multi-system dysfunction. It represents the treatment of choice for end-stage liver disease. The procedure is performed under general anaesthesia, and a successful procedure requires an excellent understanding of the patho-physiology of liver failure and its implications. Despite advances in knowledge and technical skills and innovations in immunosuppression, the anaesthetic management for LT can be complicated and represent a real challenge. Monitoring devices offer crucial information for the successful management of patients. Hemodynamic instability is typical during surgery, requiring sophisticated invasive monitoring. Arterial pulse contour analysis and thermo-dilution techniques (PiCCO), rotational thromboelastometry (RO-TEM), transcranial doppler (TCD), trans-oesophageal echocardiography (TEE) and bispectral index (BIS) have been proven to be reliable monitoring techniques playing a significant role in decision making. Anaesthetic management is specific according to the three critical phases of surgery: pre-anhepatic, anhepatic and neo-hepatic phase. Surgical techniques such as total or partial clamping of the inferior vena cava (IVC), use of venovenous bypass (VVBP) or portocaval shunts have a significant impact on cardiovascular stability. Post reperfusion syndrome (PRS) is a significant event and can lead to arrhythmias and even cardiac arrest.

DOI: https://doi.org/10.2478/jccm-2020-0011 | Journal eISSN: 2393-1817 | Journal ISSN: 2393-1809
Language: English
Page range: 91 - 100
Submitted on: Aug 25, 2019
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Accepted on: Jan 30, 2020
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Published on: May 6, 2020
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2020 Lavinia Nicoleta Brezeanu, Radu Constantin Brezeanu, Mircea Diculescu, Gabriela Droc, published by University of Medicine, Pharmacy, Science and Technology of Targu Mures
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.