Clinical impact of a modified lung allocation score that mitigates selection bias.

ABSTRACT:

Background

The Lung Allocation Score (LAS) is used in the U.S. to prioritize lung transplant candidates. Selection bias, induced by dependent censoring of waitlisted candidates and prediction of posttransplant survival among surviving, transplanted patients only, is only partially addressed by the LAS. Recently, a modified LAS (mLAS) was designed to mitigate such bias. Here, we estimate the clinical impact of replacing the LAS with the mLAS.

Methods

We considered lung transplant candidates waitlisted during 2016 and 2017. LAS and mLAS scores were computed for each registrant at each observed organ offer date; individuals were ranked accordingly. Patient characteristics associated with better priority under the mLAS were investigated via logistic regression and generalized li

SUBMITTER: Schnellinger EM 

PROVIDER: S-EPMC10167739 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature