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Heart dysfunction in patients with acute ischemic stroke or TIA does not predict all-cause mortality at long-term follow-up
BACKGROUND: Despite heart failure being a substantial risk factor for stroke, few studies have evaluated the predictive value of heart dysfunction for all-cause mortality in patients with acute ischemic stroke, in particular in the elderly. The aim of this study was to investigate whether impaired h...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3852256/ https://www.ncbi.nlm.nih.gov/pubmed/24053888 http://dx.doi.org/10.1186/1471-2377-13-122 |
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author | Holmström, Alexandra Fu, Michael LX Hjalmarsson, Clara Bokemark, Lena Andersson, Björn |
author_facet | Holmström, Alexandra Fu, Michael LX Hjalmarsson, Clara Bokemark, Lena Andersson, Björn |
author_sort | Holmström, Alexandra |
collection | PubMed |
description | BACKGROUND: Despite heart failure being a substantial risk factor for stroke, few studies have evaluated the predictive value of heart dysfunction for all-cause mortality in patients with acute ischemic stroke, in particular in the elderly. The aim of this study was to investigate whether impaired heart function in elderly patients can predict all-cause mortality after acute ischemic stroke or transient ischemic attack (TIA). METHODS: A prospective long-term follow-up analysis was performed on a hospital cohort consisting of n = 132 patients with mean age 73 ± 9 years, presenting with acute ischemic stroke or transient ischemic attack, without atrial fibrillation. All patients were examined by echocardiography during the hospital stay. Data about all-cause mortality were collected at the end of the follow-up period. The mean follow-up period was 56 ± 22 months. RESULTS: In this cohort, 58% of patients with acute ischemic stroke or TIA had heart dysfunction. Survival analysis showed that heart dysfunction did not predict all-cause mortality in this cohort. Furthermore, in multivariate regression analysis age (HR 5.401, Cl 1.97-14.78, p < 0.01), smoking (HR 3.181, Cl 1.36-7.47, p < 0.01), myocardial infarction (HR 2.826, Cl 1.17-6.83, p < 0.05) were independent predictors of all-cause mortality. CONCLUSION: In this population with acute ischemic stroke or TIA and without non-valvular atrial fibrillation, impaired heart function does not seem to be a significant predictor of all-cause mortality at long-term follow-up. |
format | Online Article Text |
id | pubmed-3852256 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-38522562013-12-06 Heart dysfunction in patients with acute ischemic stroke or TIA does not predict all-cause mortality at long-term follow-up Holmström, Alexandra Fu, Michael LX Hjalmarsson, Clara Bokemark, Lena Andersson, Björn BMC Neurol Research Article BACKGROUND: Despite heart failure being a substantial risk factor for stroke, few studies have evaluated the predictive value of heart dysfunction for all-cause mortality in patients with acute ischemic stroke, in particular in the elderly. The aim of this study was to investigate whether impaired heart function in elderly patients can predict all-cause mortality after acute ischemic stroke or transient ischemic attack (TIA). METHODS: A prospective long-term follow-up analysis was performed on a hospital cohort consisting of n = 132 patients with mean age 73 ± 9 years, presenting with acute ischemic stroke or transient ischemic attack, without atrial fibrillation. All patients were examined by echocardiography during the hospital stay. Data about all-cause mortality were collected at the end of the follow-up period. The mean follow-up period was 56 ± 22 months. RESULTS: In this cohort, 58% of patients with acute ischemic stroke or TIA had heart dysfunction. Survival analysis showed that heart dysfunction did not predict all-cause mortality in this cohort. Furthermore, in multivariate regression analysis age (HR 5.401, Cl 1.97-14.78, p < 0.01), smoking (HR 3.181, Cl 1.36-7.47, p < 0.01), myocardial infarction (HR 2.826, Cl 1.17-6.83, p < 0.05) were independent predictors of all-cause mortality. CONCLUSION: In this population with acute ischemic stroke or TIA and without non-valvular atrial fibrillation, impaired heart function does not seem to be a significant predictor of all-cause mortality at long-term follow-up. BioMed Central 2013-09-23 /pmc/articles/PMC3852256/ /pubmed/24053888 http://dx.doi.org/10.1186/1471-2377-13-122 Text en Copyright © 2013 Holmström et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Holmström, Alexandra Fu, Michael LX Hjalmarsson, Clara Bokemark, Lena Andersson, Björn Heart dysfunction in patients with acute ischemic stroke or TIA does not predict all-cause mortality at long-term follow-up |
title | Heart dysfunction in patients with acute ischemic stroke or TIA does not predict all-cause mortality at long-term follow-up |
title_full | Heart dysfunction in patients with acute ischemic stroke or TIA does not predict all-cause mortality at long-term follow-up |
title_fullStr | Heart dysfunction in patients with acute ischemic stroke or TIA does not predict all-cause mortality at long-term follow-up |
title_full_unstemmed | Heart dysfunction in patients with acute ischemic stroke or TIA does not predict all-cause mortality at long-term follow-up |
title_short | Heart dysfunction in patients with acute ischemic stroke or TIA does not predict all-cause mortality at long-term follow-up |
title_sort | heart dysfunction in patients with acute ischemic stroke or tia does not predict all-cause mortality at long-term follow-up |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3852256/ https://www.ncbi.nlm.nih.gov/pubmed/24053888 http://dx.doi.org/10.1186/1471-2377-13-122 |
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