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Admission ECG changes predict short term-mortality after acute myocardial infarction less reliable in patients with diabetes
Prior studies examined association between short-term mortality and certain changes in the admission ECG in acute myocardial infarction (AMI). Nevertheless, little is known about possible differences between patients with diabetes and without diabetes in this regard. So the aim of the study was to i...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7973741/ https://www.ncbi.nlm.nih.gov/pubmed/33737645 http://dx.doi.org/10.1038/s41598-021-85674-9 |
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author | Schmitz, Timo Thilo, Christian Linseisen, Jakob Heier, Margit Peters, Annette Kuch, Bernhard Meisinger, Christa |
author_facet | Schmitz, Timo Thilo, Christian Linseisen, Jakob Heier, Margit Peters, Annette Kuch, Bernhard Meisinger, Christa |
author_sort | Schmitz, Timo |
collection | PubMed |
description | Prior studies examined association between short-term mortality and certain changes in the admission ECG in acute myocardial infarction (AMI). Nevertheless, little is known about possible differences between patients with diabetes and without diabetes in this regard. So the aim of the study was to investigate the association between 28-day case fatality according to certain ECG changes comparing AMI cases with and without diabetes from the general population. From 2000 until 2017 a total of 9756 AMI cases was prospectively recorded in the study Area of Augsburg, Germany. Each case was assigned to one of the following groups according to admission ECG: ‘ST-elevation’, ‘ST-depression’, ‘only T-negativity’, ‘predominantly bundle branch block’, ‘unspecific changes’ and ‘normal ECG’ (the last two were put together for regression analyses). Multivariable adjusted logistic regression models were calculated to compare 28-day case-fatality between the ECG groups for the total sample and separately for diabetes and non-diabetes cases. For the non-diabetes group, the parsimonious logistic regression model revealed significantly better 28-day-outcome for the ‘normal ECG / unspecific changes’ group (OR: 0.47 [0.29–0.76]) compared to the reference group (STEMI). Contrary, in AMI cases with diabetes the category ‘normal ECG / unspecific changes’ was not significantly associated with lower short-term mortality (OR: 0.87 [0.49–1.54]). Neither of the other ECG groups was significantly associated with 28-day-mortality in the parsimonious logistic regression models. Consequently, the absence of AMI-typical changes in the admission ECG predicts favorable short-term mortality only in non-diabetic cases, but not so in patients with diabetes. |
format | Online Article Text |
id | pubmed-7973741 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-79737412021-03-19 Admission ECG changes predict short term-mortality after acute myocardial infarction less reliable in patients with diabetes Schmitz, Timo Thilo, Christian Linseisen, Jakob Heier, Margit Peters, Annette Kuch, Bernhard Meisinger, Christa Sci Rep Article Prior studies examined association between short-term mortality and certain changes in the admission ECG in acute myocardial infarction (AMI). Nevertheless, little is known about possible differences between patients with diabetes and without diabetes in this regard. So the aim of the study was to investigate the association between 28-day case fatality according to certain ECG changes comparing AMI cases with and without diabetes from the general population. From 2000 until 2017 a total of 9756 AMI cases was prospectively recorded in the study Area of Augsburg, Germany. Each case was assigned to one of the following groups according to admission ECG: ‘ST-elevation’, ‘ST-depression’, ‘only T-negativity’, ‘predominantly bundle branch block’, ‘unspecific changes’ and ‘normal ECG’ (the last two were put together for regression analyses). Multivariable adjusted logistic regression models were calculated to compare 28-day case-fatality between the ECG groups for the total sample and separately for diabetes and non-diabetes cases. For the non-diabetes group, the parsimonious logistic regression model revealed significantly better 28-day-outcome for the ‘normal ECG / unspecific changes’ group (OR: 0.47 [0.29–0.76]) compared to the reference group (STEMI). Contrary, in AMI cases with diabetes the category ‘normal ECG / unspecific changes’ was not significantly associated with lower short-term mortality (OR: 0.87 [0.49–1.54]). Neither of the other ECG groups was significantly associated with 28-day-mortality in the parsimonious logistic regression models. Consequently, the absence of AMI-typical changes in the admission ECG predicts favorable short-term mortality only in non-diabetic cases, but not so in patients with diabetes. Nature Publishing Group UK 2021-03-18 /pmc/articles/PMC7973741/ /pubmed/33737645 http://dx.doi.org/10.1038/s41598-021-85674-9 Text en © The Author(s) 2021 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/. |
spellingShingle | Article Schmitz, Timo Thilo, Christian Linseisen, Jakob Heier, Margit Peters, Annette Kuch, Bernhard Meisinger, Christa Admission ECG changes predict short term-mortality after acute myocardial infarction less reliable in patients with diabetes |
title | Admission ECG changes predict short term-mortality after acute myocardial infarction less reliable in patients with diabetes |
title_full | Admission ECG changes predict short term-mortality after acute myocardial infarction less reliable in patients with diabetes |
title_fullStr | Admission ECG changes predict short term-mortality after acute myocardial infarction less reliable in patients with diabetes |
title_full_unstemmed | Admission ECG changes predict short term-mortality after acute myocardial infarction less reliable in patients with diabetes |
title_short | Admission ECG changes predict short term-mortality after acute myocardial infarction less reliable in patients with diabetes |
title_sort | admission ecg changes predict short term-mortality after acute myocardial infarction less reliable in patients with diabetes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7973741/ https://www.ncbi.nlm.nih.gov/pubmed/33737645 http://dx.doi.org/10.1038/s41598-021-85674-9 |
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