Comprehensive Nomograms Using Routine Biomarkers Beyond Eosinophil Levels: Enhancing Predictability of Corticosteroid Treatment Outcomes in AECOPD.

Lin Feng Jiachen LiZhenbei QianChenglong LiDarui GaoYongqian WangWuxiang XieYutong CaiZhao-Hui Tong Li-Rong Liang

Published in: Journal of inflammation research (2024)

We developed easy-to-use comprehensive nomograms utilizing readily available clinical biomarkers related to inflammation, nutrition and immunity, offering modestly enhanced predictive value for treatment outcomes in corticosteroid-treated patients with AECOPD. Further investigations into novel biomarkers and additional patient data are imperative to optimize the predictive performance.

Keyphrases

oxidative stress
case report
machine learning
big data
deep learning