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Factors influencing cognitive function in patients with atrial fibrillation: a cross-sectional clinical study

BACKGROUND: The factors that influence cognitive function in patients with atrial fibrillation (AF) remain unclear. METHODS: This study involved an AF group and control group (normal sinus rhythm) of 150 patients each. Cognitive function was assessed with the adjusted Mini-Mental State Examination (...

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Autores principales: Xiong, Nanqing, Shen, Jun, Wu, Bangwei, Yan, Pingping, Shi, Haiming, Li, Jian, Luo, Xinping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7045671/
https://www.ncbi.nlm.nih.gov/pubmed/31642379
http://dx.doi.org/10.1177/0300060519882556
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author Xiong, Nanqing
Shen, Jun
Wu, Bangwei
Yan, Pingping
Shi, Haiming
Li, Jian
Luo, Xinping
author_facet Xiong, Nanqing
Shen, Jun
Wu, Bangwei
Yan, Pingping
Shi, Haiming
Li, Jian
Luo, Xinping
author_sort Xiong, Nanqing
collection PubMed
description BACKGROUND: The factors that influence cognitive function in patients with atrial fibrillation (AF) remain unclear. METHODS: This study involved an AF group and control group (normal sinus rhythm) of 150 patients each. Cognitive function was assessed with the adjusted Mini-Mental State Examination (MMSEadj) score and Memory and Executive Screening (MES) score. The relationship between cognitive function and the CHA(2)DS(2)VASc score was analyzed. Subgroup analysis was performed according to stroke history. Clinical factors affecting the MMSE score were screened by logistic regression analysis. RESULTS: Baseline data were similar between the two groups. The MMSEadj and MES scores were significantly lower in the AF than control group; the mean MMSEadj score in the AF non-stroke subgroup and control non-stroke subgroup was 26.2 ± 2.7 and 27.9 ± 2.0, respectively. In non-stroke patients with AF, the MMSEadj and MES scores were negatively correlated with the CHA(2)DS(2)VASc score. Factors significantly influencing the MMSE score in these patients were age, education, smoking history, NT-proB-type natriuretic peptide, hemoglobin, and anticoagulation. CONCLUSION: AF is associated with cognitive dysfunction regardless of stroke history. High CHA(2)DS(2)VASc scores are associated with impaired cognitive function. Factors influencing cognitive function in non-stroke patients with AF are age, education, smoking history, NT-proB-type natriuretic peptide, hemoglobin, and anticoagulation.
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spelling pubmed-70456712020-03-09 Factors influencing cognitive function in patients with atrial fibrillation: a cross-sectional clinical study Xiong, Nanqing Shen, Jun Wu, Bangwei Yan, Pingping Shi, Haiming Li, Jian Luo, Xinping J Int Med Res Clinical Research Reports BACKGROUND: The factors that influence cognitive function in patients with atrial fibrillation (AF) remain unclear. METHODS: This study involved an AF group and control group (normal sinus rhythm) of 150 patients each. Cognitive function was assessed with the adjusted Mini-Mental State Examination (MMSEadj) score and Memory and Executive Screening (MES) score. The relationship between cognitive function and the CHA(2)DS(2)VASc score was analyzed. Subgroup analysis was performed according to stroke history. Clinical factors affecting the MMSE score were screened by logistic regression analysis. RESULTS: Baseline data were similar between the two groups. The MMSEadj and MES scores were significantly lower in the AF than control group; the mean MMSEadj score in the AF non-stroke subgroup and control non-stroke subgroup was 26.2 ± 2.7 and 27.9 ± 2.0, respectively. In non-stroke patients with AF, the MMSEadj and MES scores were negatively correlated with the CHA(2)DS(2)VASc score. Factors significantly influencing the MMSE score in these patients were age, education, smoking history, NT-proB-type natriuretic peptide, hemoglobin, and anticoagulation. CONCLUSION: AF is associated with cognitive dysfunction regardless of stroke history. High CHA(2)DS(2)VASc scores are associated with impaired cognitive function. Factors influencing cognitive function in non-stroke patients with AF are age, education, smoking history, NT-proB-type natriuretic peptide, hemoglobin, and anticoagulation. SAGE Publications 2019-10-23 2019-12 /pmc/articles/PMC7045671/ /pubmed/31642379 http://dx.doi.org/10.1177/0300060519882556 Text en © The Author(s) 2019 http://creativecommons.org/licenses/by-nc/4.0/ Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Clinical Research Reports
Xiong, Nanqing
Shen, Jun
Wu, Bangwei
Yan, Pingping
Shi, Haiming
Li, Jian
Luo, Xinping
Factors influencing cognitive function in patients with atrial fibrillation: a cross-sectional clinical study
title Factors influencing cognitive function in patients with atrial fibrillation: a cross-sectional clinical study
title_full Factors influencing cognitive function in patients with atrial fibrillation: a cross-sectional clinical study
title_fullStr Factors influencing cognitive function in patients with atrial fibrillation: a cross-sectional clinical study
title_full_unstemmed Factors influencing cognitive function in patients with atrial fibrillation: a cross-sectional clinical study
title_short Factors influencing cognitive function in patients with atrial fibrillation: a cross-sectional clinical study
title_sort factors influencing cognitive function in patients with atrial fibrillation: a cross-sectional clinical study
topic Clinical Research Reports
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7045671/
https://www.ncbi.nlm.nih.gov/pubmed/31642379
http://dx.doi.org/10.1177/0300060519882556
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