Impact of pre-transplant infection management on the outcome of living-donor liver transplantation in Egypt

Autor: Ahmed Mohamed, Saleh, Essam Ali, Hassan, Ahmed Ali, Gomaa, Tamer Mahmoud, El Baz, Mohamed, El-Abgeegy, Mohamed Ismail, Seleem, Yousry Esam-Eldin, Abo-Amer, Heba Fadl, Elsergany, Eman Ibrahim El-Desoki, Mahmoud, Sherief, Abd-Elsalam
Rok vydání: 2019
Předmět:
Zdroj: Infection and Drug Resistance
ISSN: 1178-6973
Popis: Background and aim Liver transplantation (LT) has emerged as an established therapeutic option for patients with chronic liver disease. Patients with end-stage liver disease are at high risk of infection with multidrug-resistant organisms, which may affect the outcome of LT. The aim of this study was to evaluate the impact of pre-transplant infection on the outcome of living-donor LT. Methods Prospective follow-up was done for 50 patients with chronic liver disease who had had LT performed from September 2013 to December 2017. We divided patients into group 1 (patients who had had infection within 3 months before transplantation with adequate treatment [n=20]), and group 2 (patients without infection [n=30]). Both groups were followed for 4 months post-operatively. Results Patients with high Model for End-Stage Liver Disease scores were more susceptible to infection pre- and post-operatively, and chest infection was the most common infection pre-transplant. There were no significant statistical differences regarding hospital and ICU stay and post-operative course between the groups, but the mortality rate was higher in group 1 (40%) than in group 2 (23.3%), and the causes of mortality in the group 1 were mainly due to medical causes (infections and sepsis, 75%) versus 28.6% in group 2. Conclusion Liver-cell failure and concomitant infection 3 months before LT with adequate treatment had no significant statistical differences regarding hospital, ICU stay, or medical complications, but post-operative infection and mortality rate were more frequent in group 1 and the causes of mortality were mainly medical.
Databáze: OpenAIRE