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. 2023 Sep 9;52(2):413–427. doi: 10.1007/s15010-023-02091-y

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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. 2 — Prediction of individual risk of death during the hospital stay comparing information based on administrative health data with information from chart review. Presented are contour plots; r presents the Pearson correlation. Analyses are based on the sample of cases with severe sepsis-1 according to chart review. Figures and correlations are adjusted for sampling weights and clustering. Panel a: contour plot of Charlson Comorbidity Index calculated from comorbidities as identified by chart review (X-axis) compared to information obtained from inpatient administrative health data (IAHD, Y-axis). Panel b: contour plot of Elixhauser Comorbidity Index calculated from comorbidities as identified by chart review (X-axis) compared to information obtained from IAHD (Y-axis). Panel c: contour plot of individual risk of death predicted from the sepsis-specific risk model 1 including risk factors identified by chart review (X-axis) and from the model 2 including risk factors identified from IAHD (Y-axis)