Open AccessLung Transplantation Advanced Prediction Tool: Determining Recipient’s Outcome for a Certain Donor
Author(s) -
Farhan Zafar,
Md. Monir Hossain,
Yin Zhang,
Alia Dani,
M.G. Schecter,
Don Hayes,
Maurizio Macaluso,
C. Towe,
David Morales
Publication year - 2022
Publication title -
transplantation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.45
H-Index - 204
eISSN - 1534-6080
pISSN - 0041-1337
DOI - 10.1097/tp.0000000000004131
Subject(s) - cohort , medicine , proportional hazards model , hazard ratio , transplantation , lung transplantation , survival analysis , cohort study , oncology , statistics , confidence interval , mathematics
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.