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. 2021 Apr 6;11:7517. doi: 10.1038/s41598-021-87086-1

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© The Author(s) 2021

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 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/.

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ROC analysis for the multivariate logistic regression model predicting idiopathic DCM^SEV patients. The mean AUC for the averaged ROC curves are presented. The data are presented as the AUC and 95% CI and corresponding sensitivity for a range of specificities. The AUC is 0.96 (95% CI: 0.884–1.00; p < 0.001). Abbreviations: AUC, area under the curve; CI, confidence interval; DCM^SEV, dilated cardiomyopathy with ejection fraction ≤ 30%; ROC, receiver operating characteristic.