Refining the Lung Allocation Score Models Fails to Improve Discrimination Performance.

ABSTRACT:

Background

As broader geographic sharing is implemented in lung transplant allocation through the Composite Allocation Score (CAS) system, models predicting waitlist and posttransplant (PT) survival will become more important in determining access to organs.

Research question

How well do CAS survival models perform, and can discrimination performance be improved with alternative statistical models or machine learning approaches?

Study design and methods

Scientific Registry for Transplant Recipients (SRTR) data from 2015-2020 were used to build seven waitlist (WL) and data from 2010-2020 to build similar PT models. These included the (I) current lung allocation score (LAS)/CAS model; (II) re-estimated WL-LAS/CAS model; (III) model II incorporating nonlinear relationshi

SUBMITTER: Dalton JE 

PROVIDER: S-EPMC9899637 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature