Pretransplant prediction of posttransplant survival for liver recipients with benign end-stage liver diseases: a nonlinear model.

ABSTRACT:

Background

The scarcity of grafts available necessitates a system that considers expected posttransplant survival, in addition to pretransplant mortality as estimated by the MELD. So far, however, conventional linear techniques have failed to achieve sufficient accuracy in posttransplant outcome prediction. In this study, we aim to develop a pretransplant predictive model for liver recipients' survival with benign end-stage liver diseases (BESLD) by a nonlinear method based on pretransplant characteristics, and compare its performance with a BESLD-specific prognostic model (MELD) and a general-illness severity model (the sequential organ failure assessment score, or SOFA score).

Methodology/principal findings

With retrospectively collected data on 360 recipients receiving de

SUBMITTER: Zhang M 

PROVIDER: S-EPMC3291549 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature