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Gender differences in comorbidities and risk factors in ischemic stroke patients with a history of atrial fibrillation

BACKGROUND: Atrial Fibrillation (AF) is a common cardiac arrhythmia and has been identified as a major risk factor for acute ischemic stroke (AIS). Gender differences in the disease process, causative mechanisms and outcomes of AF have been investigated. In the current study, we determined whether t...

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Autores principales: Rathfoot, Chase, Edrissi, Camron, Sanders, Carolyn Breauna, Knisely, Krista, Poupore, Nicolas, Nathaniel, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8146651/
https://www.ncbi.nlm.nih.gov/pubmed/34034655
http://dx.doi.org/10.1186/s12883-021-02214-8
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author Rathfoot, Chase
Edrissi, Camron
Sanders, Carolyn Breauna
Knisely, Krista
Poupore, Nicolas
Nathaniel, Thomas
author_facet Rathfoot, Chase
Edrissi, Camron
Sanders, Carolyn Breauna
Knisely, Krista
Poupore, Nicolas
Nathaniel, Thomas
author_sort Rathfoot, Chase
collection PubMed
description BACKGROUND: Atrial Fibrillation (AF) is a common cardiac arrhythmia and has been identified as a major risk factor for acute ischemic stroke (AIS). Gender differences in the disease process, causative mechanisms and outcomes of AF have been investigated. In the current study, we determined whether there is a gender-based disparity in AIS patients with baseline AF, and whether such a discrepancy is associated with specific risk factors and comorbidities. METHODS: Baseline factors including comorbidities, risk and demographic factors associated with a gender difference were examined using retrospective data collected from a registry from January 2010 to June 2016 in a regional stroke center. Univariate analysis was used to differentiate between genders in terms of clinical risk factors and demographics. Variables in the univariate analysis were further analyzed using logistic regression. The adjusted odds ratios (ORs) and 95% confidence intervals (CIs) for each factor were used to predict the increasing odds of an association of a specific comorbidity and risk factor with the male or female AIS with AF. RESULTS: In the population of AIS patients with AF, a history of drug and alcohol use (OR = 0.250, 95% CI, 0.497–1.006, P = 0.016), sleep apnea (OR = 0.321, 95% CI, 0.133–0.777, P = 0.012), and higher serum creatinine (OR = 0.693, 95% CI, 0.542–0.886 P = 0.003) levels were found to be significantly associated with the male gender. Higher levels of HDL-cholesterol (OR = 1.035, 95% CI, 1.020–1.050, P < 0.001), LDL-cholesterol (OR = 1.006, 95% CI, 1.001–1.011, P = 0.012), and the inability to ambulate on admission to hospital (OR = 2.258, 95% CI, 1.368–3.727, P = 0.001) were associated with females. CONCLUSION: Our findings reveal that in the AIS patients with atrial fibrillation, migraines, HDL, LDL and poor ambulation were associated with females, while drugs and alcohol, sleep apnea, and serum creatinine level were associated with male AIS patients with AF. Further studies are necessary to determine whether gender differences in risk factor profiles and commodities require consideration in clinical practice when it comes to AF as a risk factor management in AIS patients.
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spelling pubmed-81466512021-05-25 Gender differences in comorbidities and risk factors in ischemic stroke patients with a history of atrial fibrillation Rathfoot, Chase Edrissi, Camron Sanders, Carolyn Breauna Knisely, Krista Poupore, Nicolas Nathaniel, Thomas BMC Neurol Research BACKGROUND: Atrial Fibrillation (AF) is a common cardiac arrhythmia and has been identified as a major risk factor for acute ischemic stroke (AIS). Gender differences in the disease process, causative mechanisms and outcomes of AF have been investigated. In the current study, we determined whether there is a gender-based disparity in AIS patients with baseline AF, and whether such a discrepancy is associated with specific risk factors and comorbidities. METHODS: Baseline factors including comorbidities, risk and demographic factors associated with a gender difference were examined using retrospective data collected from a registry from January 2010 to June 2016 in a regional stroke center. Univariate analysis was used to differentiate between genders in terms of clinical risk factors and demographics. Variables in the univariate analysis were further analyzed using logistic regression. The adjusted odds ratios (ORs) and 95% confidence intervals (CIs) for each factor were used to predict the increasing odds of an association of a specific comorbidity and risk factor with the male or female AIS with AF. RESULTS: In the population of AIS patients with AF, a history of drug and alcohol use (OR = 0.250, 95% CI, 0.497–1.006, P = 0.016), sleep apnea (OR = 0.321, 95% CI, 0.133–0.777, P = 0.012), and higher serum creatinine (OR = 0.693, 95% CI, 0.542–0.886 P = 0.003) levels were found to be significantly associated with the male gender. Higher levels of HDL-cholesterol (OR = 1.035, 95% CI, 1.020–1.050, P < 0.001), LDL-cholesterol (OR = 1.006, 95% CI, 1.001–1.011, P = 0.012), and the inability to ambulate on admission to hospital (OR = 2.258, 95% CI, 1.368–3.727, P = 0.001) were associated with females. CONCLUSION: Our findings reveal that in the AIS patients with atrial fibrillation, migraines, HDL, LDL and poor ambulation were associated with females, while drugs and alcohol, sleep apnea, and serum creatinine level were associated with male AIS patients with AF. Further studies are necessary to determine whether gender differences in risk factor profiles and commodities require consideration in clinical practice when it comes to AF as a risk factor management in AIS patients. BioMed Central 2021-05-25 /pmc/articles/PMC8146651/ /pubmed/34034655 http://dx.doi.org/10.1186/s12883-021-02214-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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
Rathfoot, Chase
Edrissi, Camron
Sanders, Carolyn Breauna
Knisely, Krista
Poupore, Nicolas
Nathaniel, Thomas
Gender differences in comorbidities and risk factors in ischemic stroke patients with a history of atrial fibrillation
title Gender differences in comorbidities and risk factors in ischemic stroke patients with a history of atrial fibrillation
title_full Gender differences in comorbidities and risk factors in ischemic stroke patients with a history of atrial fibrillation
title_fullStr Gender differences in comorbidities and risk factors in ischemic stroke patients with a history of atrial fibrillation
title_full_unstemmed Gender differences in comorbidities and risk factors in ischemic stroke patients with a history of atrial fibrillation
title_short Gender differences in comorbidities and risk factors in ischemic stroke patients with a history of atrial fibrillation
title_sort gender differences in comorbidities and risk factors in ischemic stroke patients with a history of atrial fibrillation
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8146651/
https://www.ncbi.nlm.nih.gov/pubmed/34034655
http://dx.doi.org/10.1186/s12883-021-02214-8
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