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. 2020 Jul 23;10:12354. doi: 10.1038/s41598-020-69433-w

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© The Author(s) 2020

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Receiver operator characteristic curves for statistically significant burn sepsis biomarkers: (A–J) represent receiver operator characteristic (ROC) curves and the area under the curve (AUC) analysis (in fractions) with 95% confidence intervals (CI) for statistically significant predictors of burn sepsis. (K) is the ROC curve for the multivariate model that best predicts sepsis using logistic regression. The tangent line for each ROC curve identifies the point where sensitivity and specificity are optimized. BUN blood urea nitrogen, GCS Glascow coma score, HCT hematocrit, HGB hemoglobin, Na+ sodium, PLT platelet, TCO2 total carbon dioxide, TCO2 total carbon dioxide.