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. 2023 May 29;14:1126217. doi: 10.3389/fimmu.2023.1126217

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Copyright © 2023 Zhang, Zuo, Li, Geng, Ge, Song, Wang, Zhang, Wang, Zhao, Deng, Chai, Wang, Yang, Liu, Qiu, He, Yang, Ge, Wu, Zheng, Li, Chen, Sun and Hu

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Diagnostic performance of the biomarker panel in validation cohort I and results compared to those for hemoglobin. Validation cohort I (n = 343) was randomly divided into a training set (n = 241) and a testing set (n = 102). The biomarker panel included CAT, LTF, MMP9, RBP4, and SERPINA3. (A) Receiver operating characteristic (ROC) curve analysis of the biomarker panel and hemoglobin in the training set. The area under the curve (AUC) was compared using the DeLong test. (B) Calibration curve analysis of the biomarker panel and hemoglobin in the training set. The closer the curve is to the reference line (black), the more accurate the prediction. (C) Decision curve analysis (DCA) for the biomarker panel and hemoglobin in the training set. The larger the area under the curve is, the greater the clinical benefit that can be expected. (D) ROC curves, (E) calibration curve, (F) DCA curve for the biomarker panel and hemoglobin in the testing set.