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. 2020 Mar 11;10:4531. doi: 10.1038/s41598-020-61457-6

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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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ROC Curve analysis for POCS, SAPS-II, PCT and TnI in the overall sample. In the overall sample, the prognostic performance of aPCT was similar to TnI (AUC_aPCT vs AUC_TnI p = 0.271) but inferior to SAPS-II (AUC_SAPS-II vs AUC_aPCT p = 0.0244). We also compared the prognostic performance of POCS model with other indicators as SAPS-II, aPCT or TnI. We did not find any statistically significant difference between AUC_POCS and AUC_SAPS-II (p = 0.317), while AUC_aPCT and AUC_TnI were significantly lower than AUC_SAPS-II (AUC_aPCT vs AUC_SAPS-II p = 0.024; AUC_TnI vs AUC_SAPS-II p = 0.0009).