Serum Rheumatoid Factor Levels at Acute Phase of Ischemic Stroke are Associated with Poststroke Cognitive Impairment.


Journal

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
ISSN: 1532-8511
Titre abrégé: J Stroke Cerebrovasc Dis
Pays: United States
ID NLM: 9111633

Informations de publication

Date de publication:
Apr 2019
Historique:
received: 21 11 2018
revised: 28 12 2018
accepted: 31 12 2018
pubmed: 22 1 2019
medline: 10 4 2019
entrez: 22 1 2019
Statut: ppublish

Résumé

The effect of serum rheumatoid factor (RF) on poststroke cognitive impairment remains unknown. We aimed to investigate the association of serum RF in the acute phase with cognitive impairment at 3 months after ischemic stroke onset. Our study was based on a random sample from the China Antihypertensive Trial in Acute Ischemic Stroke, a total of 582 patients from 7 of 26 participating sites of the trial with serum RF levels were included in this analysis. Cognitive impairment was defined as Mini-Mental State Examination less than 27 or Montreal Cognitive Assessment less than 25. According to Mini-Mental State Examination score, the multivariate-adjusted odds ratio and 95% confidence interval of cognitive impairment for the highest tertile of serum RF was 1.79 (1.08-2.99) compared with the lowest tertile. Each standard deviation increase of log-transformed RF was associated with 33% (95% confidence interval: 7%-66%) increased risk of cognitive impairment, and a linear association between serum RF and risk of poststroke cognitive impairment was observed (P for linearity < .01). Adding log-transformed RF to a model containing conventional risk factors improved the predictive power for poststroke cognitive impairment (net reclassification improvement: 26.21%, P < .01; integrated discrimination index: 1.24%, P = .02). Similar significant findings were observed when cognitive function was defined by Montreal Cognitive Assessment score. Elevated serum RF levels in the acute phase were independently associated with 3-month cognitive impairment among ischemic stroke patients. Further studies are needed to replicate our findings and to clarify the potential mechanisms.

Sections du résumé

BACKGROUND BACKGROUND
The effect of serum rheumatoid factor (RF) on poststroke cognitive impairment remains unknown. We aimed to investigate the association of serum RF in the acute phase with cognitive impairment at 3 months after ischemic stroke onset.
METHODS METHODS
Our study was based on a random sample from the China Antihypertensive Trial in Acute Ischemic Stroke, a total of 582 patients from 7 of 26 participating sites of the trial with serum RF levels were included in this analysis. Cognitive impairment was defined as Mini-Mental State Examination less than 27 or Montreal Cognitive Assessment less than 25.
RESULTS RESULTS
According to Mini-Mental State Examination score, the multivariate-adjusted odds ratio and 95% confidence interval of cognitive impairment for the highest tertile of serum RF was 1.79 (1.08-2.99) compared with the lowest tertile. Each standard deviation increase of log-transformed RF was associated with 33% (95% confidence interval: 7%-66%) increased risk of cognitive impairment, and a linear association between serum RF and risk of poststroke cognitive impairment was observed (P for linearity < .01). Adding log-transformed RF to a model containing conventional risk factors improved the predictive power for poststroke cognitive impairment (net reclassification improvement: 26.21%, P < .01; integrated discrimination index: 1.24%, P = .02). Similar significant findings were observed when cognitive function was defined by Montreal Cognitive Assessment score.
CONCLUSIONS CONCLUSIONS
Elevated serum RF levels in the acute phase were independently associated with 3-month cognitive impairment among ischemic stroke patients. Further studies are needed to replicate our findings and to clarify the potential mechanisms.

Identifiants

pubmed: 30661971
pii: S1052-3057(18)30752-3
doi: 10.1016/j.jstrokecerebrovasdis.2018.12.049
pii:
doi:

Substances chimiques

Biomarkers 0
Rheumatoid Factor 9009-79-4

Types de publication

Journal Article Multicenter Study Observational Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

1133-1140

Informations de copyright

Copyright © 2019. Published by Elsevier Inc.

Auteurs

Zhengbao Zhu (Z)

Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China; Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana.

Lihua Chen (L)

Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China.

Daoxia Guo (D)

Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China.

Chongke Zhong (C)

Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China; Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana.

Aili Wang (A)

Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China.

Xiaoqing Bu (X)

Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China; Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana.

Tan Xu (T)

Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China.

Jianhui Zhang (J)

Department of Neurology, Tongliao Municipal Hospital, Inner Mongolia, China.

Zhong Ju (Z)

Department of Neurology, Kerqin District First People's Hospital of Tongliao City, Inner Mongolia, China.

Libing Guo (L)

Department of Neurology, Siping Central Hospital, Jilin, China.

Jintao Zhang (J)

Department of Neurology, the 88th Hospital of PLA, Shandong, China.

Dong Li (D)

Department of Internal Medicine, Feicheng City People's Hospital, Shandong, China.

Chung-Shiuan Chen (CS)

Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana.

Jing Chen (J)

Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana; Department of Medicine, Tulane University School of Medicine, New Orleans, Louisiana.

Yonghong Zhang (Y)

Department of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Medical College of Soochow University, Suzhou, China. Electronic address: yhzhang@suda.edu.cn.

Jiang He (J)

Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana; Department of Medicine, Tulane University School of Medicine, New Orleans, Louisiana. Electronic address: jhe@tulane.edu.

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Classifications MeSH