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. 2023 Jan 21;13:1192. doi: 10.1038/s41598-023-27941-5

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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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Association between levels of cardiometabolic risk factors for cardiac arrhythmias in patients with type 2 diabetes. We constructed a Cox model for each outcome and applied a prediction function to assess the relationship between selected risk factors and outcomes (Panel A to Panel D). The dark lines indicate the hazard function and the shaded areas 95% confidence intervals. Continuous variables were modeled with restricted cubic splines. The following cut-of levels were used for risk factors: glycated hemoglobin (≥ 7.0% [≥ 53 mmol/mol]), SBP (≥ 130 mmHg), LDL–C (≥ 2.5 mmol/L [97 mg per deciliter]), BMI ≥ 25 kg/m2 and eGFR ≥ 90 mL/min/1.73m2.