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Glycemic variability and in-hospital death of critically ill patients and the role of ventricular arrhythmias
BACKGROUND: Abnormal glycemic variability is common in the intensive care unit (ICU) and is associated with increased in-hospital mortality and major adverse cardiovascular events, but little is known about whether adverse outcomes are partly mediated by ventricular arrhythmias (VA). We aimed to exp...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10258982/ https://www.ncbi.nlm.nih.gov/pubmed/37308889 http://dx.doi.org/10.1186/s12933-023-01861-0 |
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author | Su, Yuhao Fan, Weiguo Liu, Yang Hong, Kui |
author_facet | Su, Yuhao Fan, Weiguo Liu, Yang Hong, Kui |
author_sort | Su, Yuhao |
collection | PubMed |
description | BACKGROUND: Abnormal glycemic variability is common in the intensive care unit (ICU) and is associated with increased in-hospital mortality and major adverse cardiovascular events, but little is known about whether adverse outcomes are partly mediated by ventricular arrhythmias (VA). We aimed to explore the association between glycemic variability and VA in the ICU and whether VA related to glycemic variability mediate the increased risk of in-hospital death. METHODS: We extracted all measurements of blood glucose during the ICU stay from The Medical Information Mart for Intensive Care IV (MIMIC-IV) database version 2.0. Glycemic variability was expressed by the coefficient of variation (CV), which was calculated by the ratio of standard deviation (SD) and average blood glucose values. The outcomes included the incidence of VA and in-hospital death. The KHB (Karlson, KB & Holm, A) is a method to analyze the mediation effect for nonlinear models, which was used to decompose the total effect of glycemic variability on in-hospital death into a direct and VA-mediated indirect effect. RESULTS: Finally, 17,756 ICU patients with a median age of 64 years were enrolled; 47.2% of them were male, 64.0% were white, and 17.8% were admitted to the cardiac ICU. The total incidence of VA and in-hospital death were 10.6% and 12.8%, respectively. In the adjusted logistic model, each unit increase in log-transformed CV was associated with a 21% increased risk of VA (OR 1.21, 95% CI: 1.11–1.31) and a 30% increased risk (OR 1.30, 95% CI: 1.20–1.41) of in-hospital death. A total of 3.85% of the effect of glycemic variability on in-hospital death was related to the increased risk of VA. CONCLUSION: High glycemic variability was an independent risk factor for in-hospital death in ICU patients, and the effect was caused in part by an increased risk of VA. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12933-023-01861-0. |
format | Online Article Text |
id | pubmed-10258982 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-102589822023-06-13 Glycemic variability and in-hospital death of critically ill patients and the role of ventricular arrhythmias Su, Yuhao Fan, Weiguo Liu, Yang Hong, Kui Cardiovasc Diabetol Research BACKGROUND: Abnormal glycemic variability is common in the intensive care unit (ICU) and is associated with increased in-hospital mortality and major adverse cardiovascular events, but little is known about whether adverse outcomes are partly mediated by ventricular arrhythmias (VA). We aimed to explore the association between glycemic variability and VA in the ICU and whether VA related to glycemic variability mediate the increased risk of in-hospital death. METHODS: We extracted all measurements of blood glucose during the ICU stay from The Medical Information Mart for Intensive Care IV (MIMIC-IV) database version 2.0. Glycemic variability was expressed by the coefficient of variation (CV), which was calculated by the ratio of standard deviation (SD) and average blood glucose values. The outcomes included the incidence of VA and in-hospital death. The KHB (Karlson, KB & Holm, A) is a method to analyze the mediation effect for nonlinear models, which was used to decompose the total effect of glycemic variability on in-hospital death into a direct and VA-mediated indirect effect. RESULTS: Finally, 17,756 ICU patients with a median age of 64 years were enrolled; 47.2% of them were male, 64.0% were white, and 17.8% were admitted to the cardiac ICU. The total incidence of VA and in-hospital death were 10.6% and 12.8%, respectively. In the adjusted logistic model, each unit increase in log-transformed CV was associated with a 21% increased risk of VA (OR 1.21, 95% CI: 1.11–1.31) and a 30% increased risk (OR 1.30, 95% CI: 1.20–1.41) of in-hospital death. A total of 3.85% of the effect of glycemic variability on in-hospital death was related to the increased risk of VA. CONCLUSION: High glycemic variability was an independent risk factor for in-hospital death in ICU patients, and the effect was caused in part by an increased risk of VA. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12933-023-01861-0. BioMed Central 2023-06-12 /pmc/articles/PMC10258982/ /pubmed/37308889 http://dx.doi.org/10.1186/s12933-023-01861-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Su, Yuhao Fan, Weiguo Liu, Yang Hong, Kui Glycemic variability and in-hospital death of critically ill patients and the role of ventricular arrhythmias |
title | Glycemic variability and in-hospital death of critically ill patients and the role of ventricular arrhythmias |
title_full | Glycemic variability and in-hospital death of critically ill patients and the role of ventricular arrhythmias |
title_fullStr | Glycemic variability and in-hospital death of critically ill patients and the role of ventricular arrhythmias |
title_full_unstemmed | Glycemic variability and in-hospital death of critically ill patients and the role of ventricular arrhythmias |
title_short | Glycemic variability and in-hospital death of critically ill patients and the role of ventricular arrhythmias |
title_sort | glycemic variability and in-hospital death of critically ill patients and the role of ventricular arrhythmias |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10258982/ https://www.ncbi.nlm.nih.gov/pubmed/37308889 http://dx.doi.org/10.1186/s12933-023-01861-0 |
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