View clinical trials related to Liver Abscess.
Filter by:Pyogenic liver abscess is one of the most common visceral abscesses, its incidence is increasing worldwide. According to the previous literature, the mortality rate of pyogenic liver abscess is as high as 31% and become a serious social health problem. However, the data of prospective observational real-world studies are scarce and no relevant research of the liver histological change has been reported, so the long-term prognosis and the risk factors for pyogenic liver abscess are still unknown. Patients will be followed up prospectively for a period of 2 years and observed clinical prognosis (all-cause mortality, the recurrence rate, and the rehospitalization rate). The investigators will investigate the predictive value of clinical risk factors for clinical prognosis and establish clinical prediction models to predict the long-term prognosis of pyogenic liver abscesses.
Objective: the aim of this study is to identify risk factors associated with the development of pyogenic liver abscesses (PLA) in adult liver recipients (ALR) and to describe the experience of the Hospital Italiano de Buenos Aires (HIBA) in the diagnosis and therapeutic management of these patients. Background: adult liver recipients differ from the general population with PLA as they exhibit: reconstructed biliary anatomy, recurrent hospitalizations, regular performance status and are subjected to immunosuppression. However, the scientific evidence regarding PLA developed in transplanted organs is still scarce and the management of this disease continues to be based on experience in non-transplanted patients. Methods: between 1996 and 2016, 879 adult patients underwent liver transplantation (LT) at our institution. Patients who developed PLA after LT (cases) and controls are matched according to the time from transplant to abscess in a 1 to 5 relation. The investigators performed a logistic regression model to establish PLA risk factors considering clusters for matched cases and controls. Independent risk factors will be identified using multivariate regression analysis.