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. 2023 Nov 28;14:7799. doi: 10.1038/s41467-023-43372-2

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© The Author(s) 2023

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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Fig. 6 — Data-driven aGVHD grading methods are compared to MAGIC conventional grading to reveal differences in patient proportions, organ combinations involved in each grade and ability to dissect into cohorts with significantly distinct NRM. a Cumulative incidence NRM curves according to MAGIC grades. Separation of curves is tested by the two-sided Gray test. Error bands represent 95% CI b Pie chart of aGVHD grades in MAGIC grading. The angle of each slice is proportional to the number of organ stage combinations in the respective grade. The radius of each slice represents the number of patients within this grade. MAGIC grade I: 2 combinations and 265 patients, II: 11 combinations and 183 patients, III: 32 combinations and 143 patients, IV: 26 combinations and 109 patients. c Patient phenotype distribution within each grade. Stacked bar chart of MAGIC aGVHD grades showing the proportion of patients in each organ stage combination. For each bar the color represents one combination, no crossover between grades. All phenotypes are detailed in Supplementary Data 1. d Cumulative incidence NRM curves according to PC1 grading with 4 grades. Separation of curves is tested by two-sided Gray test. Error bands represent 95% CI e Pie chart of PC1 grades. f Stacked bar chart of PC1 grades. The phenotypes are detailed in Supplementary Data 2. g NRM of Hclust grading with four grades. h Pie chart of Hclust grades. i Stacked bar chart of Hclust grades. The phenotypes are detailed in Supplementary Data 3. j Cumulative incidence NRM curves according to K-means grading using 4 grades. Separation of curves is tested by a two-sided Gray test. Error bands represent 95% CI k Pie chart of K-means grades. l Stacked bar chart of K-means grades. The phenotypes are detailed in Supplementary Data 4. Source data for b, c, e, f, h, i, k and l are provided as a source data file.