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Validation of the R(2)CHADS(2) and CHADS(2) Scores for Predicting Post-stroke Cognitive Impairment

OBJECTIVE: Post-stroke cognitive impairment often afflicts stroke survivors and is a major obstacle both for cognitive and physical rehabilitation. Stroke risk scores [“Congestive heart failure, Hypertension, Age ≥75 years, Diabetes mellitus, Stroke” (CHADS(2)) and “CHADS(2) + creatinine clearance &...

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Autores principales: Washida, Kazuo, Kowa, Hisatomo, Hamaguchi, Hirotoshi, Kanda, Fumio, Toda, Tatsushi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Japanese Society of Internal Medicine 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5675932/
https://www.ncbi.nlm.nih.gov/pubmed/28924104
http://dx.doi.org/10.2169/internalmedicine.6651-15
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author Washida, Kazuo
Kowa, Hisatomo
Hamaguchi, Hirotoshi
Kanda, Fumio
Toda, Tatsushi
author_facet Washida, Kazuo
Kowa, Hisatomo
Hamaguchi, Hirotoshi
Kanda, Fumio
Toda, Tatsushi
author_sort Washida, Kazuo
collection PubMed
description OBJECTIVE: Post-stroke cognitive impairment often afflicts stroke survivors and is a major obstacle both for cognitive and physical rehabilitation. Stroke risk scores [“Congestive heart failure, Hypertension, Age ≥75 years, Diabetes mellitus, Stroke” (CHADS(2)) and “CHADS(2) + creatinine clearance <60 mL/min” (R(2)CHADS(2))] are used to assess the future risk of cardioembolic stroke in patients with atrial fibrillation (AF). However, congestive heart failure, hypertension, aging, diabetes mellitus, stroke, and renal dysfunction are also risk factors for cognitive impairment. METHODS: Sixty-two patients with nonvalvular AF-induced cardioembolic stroke underwent cognitive testing, including the Japanese version of the Montreal Cognitive Assessment (MoCA-J), Mini-Mental State Examination (MMSE), and Apathy Scale. The correlations between the MoCA-J/MMSE/Apathy Scale scores and stroke risk scores were examined. RESULTS: The average CHADS(2) and R(2)CHADS(2) scores were 4.1±1.0 and 5.6±1.6, respectively. The average MoCA-J, MMSE, and Apathy Scale scores were 17.4±6.2, 22.0±5.3, and 20.0±8.9, respectively. The CHADS(2) and R(2)CHADS(2) scores were negatively correlated with the MoCA-J/MMSE and positively correlated with the Apathy Scale. The R(2)CHADS(2) score was more sensitive to poststroke cognitive impairment than the CHADS(2) score. This correlation was stronger for MoCA-J than for MMSE, as the MMSE scores were skewed toward the higher end of the range. The results for individual MoCA-J and MMSE subtests indicated that the visuoexecutive, calculation, abstraction, and remote recall functions were significantly decreased after cardioembolic stroke. CONCLUSION: These results suggest that the R(2)CHADS(2) and CHADS(2) scores are useful for predicting post-stroke cognitive impairment.
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spelling pubmed-56759322017-11-13 Validation of the R(2)CHADS(2) and CHADS(2) Scores for Predicting Post-stroke Cognitive Impairment Washida, Kazuo Kowa, Hisatomo Hamaguchi, Hirotoshi Kanda, Fumio Toda, Tatsushi Intern Med Original Article OBJECTIVE: Post-stroke cognitive impairment often afflicts stroke survivors and is a major obstacle both for cognitive and physical rehabilitation. Stroke risk scores [“Congestive heart failure, Hypertension, Age ≥75 years, Diabetes mellitus, Stroke” (CHADS(2)) and “CHADS(2) + creatinine clearance <60 mL/min” (R(2)CHADS(2))] are used to assess the future risk of cardioembolic stroke in patients with atrial fibrillation (AF). However, congestive heart failure, hypertension, aging, diabetes mellitus, stroke, and renal dysfunction are also risk factors for cognitive impairment. METHODS: Sixty-two patients with nonvalvular AF-induced cardioembolic stroke underwent cognitive testing, including the Japanese version of the Montreal Cognitive Assessment (MoCA-J), Mini-Mental State Examination (MMSE), and Apathy Scale. The correlations between the MoCA-J/MMSE/Apathy Scale scores and stroke risk scores were examined. RESULTS: The average CHADS(2) and R(2)CHADS(2) scores were 4.1±1.0 and 5.6±1.6, respectively. The average MoCA-J, MMSE, and Apathy Scale scores were 17.4±6.2, 22.0±5.3, and 20.0±8.9, respectively. The CHADS(2) and R(2)CHADS(2) scores were negatively correlated with the MoCA-J/MMSE and positively correlated with the Apathy Scale. The R(2)CHADS(2) score was more sensitive to poststroke cognitive impairment than the CHADS(2) score. This correlation was stronger for MoCA-J than for MMSE, as the MMSE scores were skewed toward the higher end of the range. The results for individual MoCA-J and MMSE subtests indicated that the visuoexecutive, calculation, abstraction, and remote recall functions were significantly decreased after cardioembolic stroke. CONCLUSION: These results suggest that the R(2)CHADS(2) and CHADS(2) scores are useful for predicting post-stroke cognitive impairment. The Japanese Society of Internal Medicine 2017-09-15 2017-10-15 /pmc/articles/PMC5675932/ /pubmed/28924104 http://dx.doi.org/10.2169/internalmedicine.6651-15 Text en Copyright © 2017 by The Japanese Society of Internal Medicine https://creativecommons.org/licenses/by-nc-nd/4.0/ The Internal Medicine is an Open Access article distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. To view the details of this license, please visit (https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Article
Washida, Kazuo
Kowa, Hisatomo
Hamaguchi, Hirotoshi
Kanda, Fumio
Toda, Tatsushi
Validation of the R(2)CHADS(2) and CHADS(2) Scores for Predicting Post-stroke Cognitive Impairment
title Validation of the R(2)CHADS(2) and CHADS(2) Scores for Predicting Post-stroke Cognitive Impairment
title_full Validation of the R(2)CHADS(2) and CHADS(2) Scores for Predicting Post-stroke Cognitive Impairment
title_fullStr Validation of the R(2)CHADS(2) and CHADS(2) Scores for Predicting Post-stroke Cognitive Impairment
title_full_unstemmed Validation of the R(2)CHADS(2) and CHADS(2) Scores for Predicting Post-stroke Cognitive Impairment
title_short Validation of the R(2)CHADS(2) and CHADS(2) Scores for Predicting Post-stroke Cognitive Impairment
title_sort validation of the r(2)chads(2) and chads(2) scores for predicting post-stroke cognitive impairment
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5675932/
https://www.ncbi.nlm.nih.gov/pubmed/28924104
http://dx.doi.org/10.2169/internalmedicine.6651-15
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