Personalized risk predictor for acute cellular rejection in lung transplant using soluble CD31

Personalized risk predictor for acute cellular rejection in lung transplant using soluble CD31

Abstract We evaluated the contribution of artificial intelligence in predicting the risk of acute cellular rejection (ACR) using early plasma levels of soluble CD31 (sCD31) in combination with recipient haematosis, which was measured by the ratio of arterial oxygen partial pressure to fractional oxy...

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Bibliographic Details
Main Authors: Alexy Tran-Dinh, Quentin Laurent, Guillaume Even, Sébastien Tanaka, Brice Lortat-Jacob, Yves Castier, Hervé Mal, Jonathan Messika, Pierre Mordant, Antonino Nicoletti, Philippe Montravers, Giuseppina Caligiuri, Ian Morilla
Format: Article
Language:English
Published: Nature Portfolio 2022-10-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-21070-1

Internet

https://doi.org/10.1038/s41598-022-21070-1

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