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. 2022 Dec 21;9:776. doi: 10.1038/s41597-022-01669-9

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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 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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Fig. 8 — Odds ratios (OR) and 95%-confidence intervals (CI) of patient characteristics and outcomes in the dataset before and after anonymization for different sizes of the original dataset (anonymized dataset = PUF). In the graphs, the number of records in the original dataset was adjusted according to the number of cases included in the regression analysis, excluding missing data. To note, datasets with no ORs and CIs do not contain the relevant information for the respective regression model. (a) Inpatient cases from the Cross-Sectoral Platform (SUEP). (b) Cases from the High-Resolution Platform (HAP) and inpatient SUEP aged between 49 and 59 years that survived the acute phase of COVID-19 (ambulant or discharged). (c) Cases from the Population-Based Platform (POP). (d) Cases from the High-Resolution Platform (HAP).