Liver transplantation is an important treatment for acute liver failure and end-stage liver disease. In 2002, the model for end-stage liver disease (MELD) was incorporated to prioritize patients awaiting liver transplantation. While there are data on how the MELD score affects wait time, there is a dearth of literature regarding other components. We aimed to evaluate the factors affecting the waiting time for TH. Using the database from the Republic of Moldova, patients aged 18- 65 listed for liver transplants in the period 2013-2022 were included. Variables tested in the model included patient characteristics, biochemical analyses, MELD score, and ABO blood group. The MELD score is used in prioritizing liver allocation and was expected to predict time on the waiting list. Mechanical ventilation and other markers of disease severity are associated with higher MELD scores, thus shorter waiting time. Further research is needed to address the reasons for ariation in waiting time in an attempt to reduce time to TH, standardize the listing process and improve patient outcomes.Objectives. The aim of the scientific paper was to analyze the risk factors and waiting time of patients with liver diseases on the waiting list for liver transplantation. Materials and methods. A retrospective 2013-2018 and prospective 2018-2022 study was conducted, in which 265 patients with decompensated liver cirrhosis, on the waiting list for liver transplantation, were included. The following databases were also used as a source of scientific literature: Google Scholar, PubMed and eLibrary. The keywords that were used in the search: „liver transplant”, „acute and chronic liver failure”. Results. Our results show that those with lower serum sodium had a shorter waiting time compared to candidates with higher sodium. Thus, patients with blood group A were the most patients, which is also a prognosis for this group to be more exposed to the risk of viral infection.
This subject underlines the most important perioperative factors that predispose to early post-liver transplant respiratory complications. Despite advances in surgical techniques and anesthesiological management the lung may still suffer throughout the perioperative period from various types of injury, with different ensuing ventilatory impairments, and different clinical outcomes. The incidence, etiology, pathophysiological features, clinical manifestations, preventing measures, and outcomes of post-operative respiratory disorders in this setting are also reported.
Acute liver failure is a critical medical condition defined as rapid development of hepatic dysfunction associated with encephalopathy. The prognosis in these patients is highly variable and depends on the etiology, interval between jaundice and encephalopathy, age, and the degree of coagulopathy. Determining the prognosis for this population is vital. Unfortunately, prognostic models with both high sensitivity and specificity for prediction of death have not been developed. Liver transplantation has dramatically improved survival in patients with acute liver failure. Still, 25% to 45% of patients will survive with medical treatment. The identification of patients who will eventually require liver transplantation should be carefully addressed through the combination of current prognostic models and continuous medical assessment.
The results of liver transplantation are excellent, with survival rates of over 90 and 80% at 1 and 5 years, respectively. The success of liver transplantation has led to an increase in the indications for liver transplantation. Generally, priorities are given to cirrhotic patients with a high Model for End-Stage Liver Disease (MELD) score on the principle of the sickest first and to patients with hepatocellular carcinoma (HCC) on the principle of priority points according to the size and number of nodules of HCC. These criteria can lead to a ‘competition’ on the waiting list between the above patients and those who are cirrhotic and have an intermediate MELD score or with life-threatening liver diseases not well described by the MELD score. For this latter group of patients, ‘MELD exception’ points can be arbitrarily given.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.