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. 2021 Dec 16;13:223. doi: 10.1186/s13148-021-01217-z

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© The Author(s) 2021

Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 4 — Blood levels of biomarkers measured by routine clinical tests can be used to accurately diagnosis SAP during its early stage. A SAP prediction accuracy by undiscriminatingly using 75 available measures from 93 body fluids-measuring clinical tests; B 12 venous blood-based tests identified from the training set built an SAP model that classified test set MAP and SAP samples with high accuracy; C members of the 12-biomarker model may either positively or negatively predict SAP. D When being incorporated to SAP prediction model using aggregate uMHL scores of cfDNA, the 12 venous biomarkers significantly improved its overall prediction accuracy. SAP, severe acute pancreatitis; cfDNA, cell free DNA; MAP, mild acute pancreatitis; uMHL, unmethylated haplotype load