Lung Transplantation Advanced Prediction Tool: Determining Recipient's Outcome for a Certain Donor.

ABSTRACT:

Background

Many risk-prediction models for lung transplantation are centered on recipient characteristics and do not account for impact of donor and transplant-related factors or only examine short-term outcomes (eg, predicted 1-y survival). We sought to develop a comprehensive model guiding recipient-donor matching.

Methods

We identified double lung transplant recipients (≥12 y old) in the United Network for Organ Sharing Registry (2005-2020) to develop a risk scoring tool. Cohort was divided into derivation and validation sets. A total of 42 recipient, donor, and transplant factors were included in the analysis. Lasso method was used for variable selection. Survival was estimated using Cox-proportional hazard models. An interactive web-based tool was developed for clinical

SUBMITTER: Zafar F 

PROVIDER: S-EPMC9521589 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature