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. 2022 May 30;12:9013. doi: 10.1038/s41598-022-13145-w

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© The Author(s) 2022

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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Plots comparing muscle surface areas and clinical parameters with urinary creatinine excretion. (A–C) Association with clinical characteristics age (A), weight (B), and Sex (C). (D–F) Association between muscle surface areas (segmented > − 15HU) from the psoas muscles (D), long spine muscles (E), and abdominal wall muscles (F). Solid regression lines in dot plots are calculated with ordinary least squares regression. The probability density was calculated with kernel density estimation and shows excretion in the female (F, red colour) and male sex (M, blue colour). The dashed line represents the mean of the different groups. The R²-values were calculated with ordinary least squares regression.