dc.contributor.author |
Mititelu, Anatolie |
|
dc.contributor.author |
Burgoci, Sergiu |
|
dc.contributor.author |
Vladicescu, Cristina |
|
dc.date.accessioned |
2020-07-09T06:37:24Z |
|
dc.date.available |
2020-07-09T06:37:24Z |
|
dc.date.issued |
2016 |
|
dc.identifier.citation |
MITITELU, Anatolie, BURGOCI, Sergiu, VLADICESCU, Cristina. Predictors of retransplantation in liver transplant. In: MedEspera: the 6th Internat. Medical Congress for Students and Young Doctors: abstract book. Chișinău: S. n., 2016, p. 140-141. |
en_US |
dc.identifier.isbn |
978-9975-3028-3-8. |
|
dc.identifier.uri |
http://repository.usmf.md/handle/20.500.12710/11184 |
|
dc.description |
Surgery Department II, Faculty of Medicine N1, Nicolae Testemitanu State University of Medicine and Pharmacy, Chisinau, Republic of Moldova, The 6th International Medical Congress for Students and Young Doctors, May 12-14, 2016 |
en_US |
dc.description.abstract |
Introduction: A small subgroup of patients undergoing liver transplantation (LT) require
retransplantation (RT), which is correlated with significantly higher morbidity, lower survival rates and
increased medical costs. The purpose of the study is to determine the predictive factors of RT, following
LT, clinical and laboratory findings were studied during the period from 2013 till 2016, effectuated by
a medical team from Republican Clinical Hospital.
Materials and Methods: Liver transplant evidence was sourced from the National
Transplantation Agency database starting with February 1st, 2013, to March 20th, 2016. Covariates
selected from the database for inclusion in the analysis admitted: recipient’s age, cold and warm ischemia
time, donor’s type (cadaveric versus living), body mass index (BMI), model for end-stage liver disease
(MELD) score at transplant, albumin level at transplant, gender of the recipient and transplant year.
Recipient hepatitis C virus (HCV) and hepatocellular carcinoma (HCC) status were determined by using
United Network for Organ Sharing (UNOS)/Organ Procurement and Transplantation Network (OPTN)
primary diagnosis coding. Generalized linear modeling was used to determine the odds ratios (ORs) for
the risk of RT in liver transplant recipients. According to National Transplantation Agency of Republic
of Moldova since 2013 were registered 212 potential brain death donors, but families of 99 (46,69 %)
of them have refused donation.Conclusion: Our analysis identified several host and graft-related predictors of RT in liver
transplant recipients. Efforts must be directed to reduce the significant number of RT in the era of donor
shortage and ever increasing demand for LT. Both, the community and physicians should therefore
approach organ transplant positively and objectively and treat ethical, social and religious issues as
negotiable perspectives and not barriers to organ transplant. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
MedEspera |
en_US |
dc.subject |
Living donor living transplant |
en_US |
dc.subject |
Retransplantation |
en_US |
dc.subject |
Predictor factors |
en_US |
dc.title |
Predictors of retransplantation in liver transplant |
en_US |
dc.type |
Article |
en_US |