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. 2019 Aug 13;9:11742. doi: 10.1038/s41598-019-48227-9

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© The Author(s) 2019

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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Multivariate ROC plots based on the troponin and creatine kinase (CK) concentration. (A) Receiver operating characteristic (ROC) plot obtained by combining three metabolites namely pentadecanoic acid, linoleoyl carnitine and 1-linoleoylglycerophosphocholine. The curve is based on the median troponin value of the cohort (Peak TnT) and is represented by an area under the curve (AUC) of 0.86 indicating good predictive ability. (B) The multivariate ROC curve discriminates individuals based on the median creatine kinase value (Peak CK). The curve is represented by area under the curve (AUC) of 0.82 indicating good predictive ability. The empirical p-value (p-value < 0.05) shows the statistical significance of these biomarker models. (C) The line plot shows the relative concentration of three potential metabolic biomarkers across different time intervals.