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. 2017 Jul 6;7:4802. doi: 10.1038/s41598-017-05001-z

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© The Author(s) 2017

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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Importance of non-invasive ACM established diagnostic variables and miR-320a in Arrhythmogenic CardioMyopathy (ACM) vs. Idiopathic Ventricular Tachycardia (IVT) classification. (A) Boxplots show the distribution of mean decreases in Gini index for non-invasive ACM diagnostic criteria and miR-320a (green boxplot), ranked based on the importance in data partition as calculated by the Random Forests procedure. Data are shown as median[Q1–Q3]: global/regional dysfunction and structural alteration, 5.75[5.40–6.39]; miR-320a, 2.72[2.43–3.12]; arrhythmias, 2.45[2.10–2.79]; repolarization abnormalities, 2.17[1.68–2.59]; depolarization abnormalities, 2.03[1.65–2.38]; family history, 0.66[0.48–0.86]. (B) The Area Under the Curves (AUC) of the ROC analysis was used to evaluate diagnostic accuracy of selected variables used to classify ACM vs. IVT patients and the added value by circulating miR-320a expression. ECG abnormalities: depolarization and repolarization abnormality criteria.