Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2014 Nov;46(9):3076-8.
doi: 10.1016/j.transproceed.2014.09.171.

Prediction model to discard a priori liver allografts

A Arjona-Sánchez  1 , J M Sánchez-Hidalgo  2 , R Ciria-Bru  2 , F C Muñoz-Casares  2 , J F Ruiz-Rabelo  2 , A Gallardo  2 , R Orti  2 , A Luque  2 , S Rufián-Peña  2 , P López-Cillero  2 , M de la Mata  3 , F J Briceño-Delgado  2
Affiliations

Prediction model to discard a priori liver allografts

A Arjona-Sánchez et al. Transplant Proc. 2014 Nov.

Abstract

Background: The use of expanded criteria for donors to expand the donor pool has increased the number of discarded liver grafts in situ. The aim of our study was to elaborate a prediction model to reduce the percentage of liver grafts discarded before the procuring team is sent out.

Methods: We analyzed the donor factors of 244 evaluated candidates for liver donation. We performed a multiple logistic regression to evaluate the probability of liver grafts discarded (PD).

Results: The PD was determined by use of 3 variables: age, pathological ultrasonography, and body mass index >30. The area under curve was 82.7%, and, for a PD of 70%, the false-positive probability was 1.2%.

Conclusions: We have created a useful clinical prediction model that could avoid up to 20% of discarded liver grafts.

PubMed Disclaimer

LinkOut - more resources