Carotid Atherosclerotic Calcification Characteristics Relate to Post-stroke Cognitive Impairment
Background: Together with cerebral small vessel disease (CSVD), large vessel atherosclerosis is considered to be an equally important risk factor in the progression of vascular cognitive impairment. This article aims to investigate whether carotid atherosclerotic calcification is associated with the...
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doaj-bd109ecd7d7243428aac864565e063362021-05-25T04:37:54ZengFrontiers Media S.A.Frontiers in Aging Neuroscience1663-43652021-05-011310.3389/fnagi.2021.682908682908Carotid Atherosclerotic Calcification Characteristics Relate to Post-stroke Cognitive ImpairmentYingzhe Wang0Chanchan Li1Mengyuan Ding2Luyi Lin3Peixi Li4Yizhe Wang5Qiang Dong6Qiang Dong7Yanmei Yang8Mei Cui9Mei Cui10Department of Neurology, Huashan Hospital, Fudan University, Shanghai, ChinaDepartment of Radiology, Huashan Hospital, Fudan University, Shanghai, ChinaDepartment of Neurology, Huashan Hospital, Fudan University, Shanghai, ChinaDepartment of Radiology, Huashan Hospital, Fudan University, Shanghai, ChinaDepartment of Neurology, Huashan Hospital, Fudan University, Shanghai, ChinaDepartment of Medicine, Nanchang University, Nanchang, ChinaDepartment of Neurology, Huashan Hospital, Fudan University, Shanghai, ChinaThe State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, ChinaDepartment of Radiology, Huashan Hospital, Fudan University, Shanghai, ChinaDepartment of Neurology, Huashan Hospital, Fudan University, Shanghai, ChinaThe State Key Laboratory of Medical Neurobiology, Fudan University, Shanghai, ChinaBackground: Together with cerebral small vessel disease (CSVD), large vessel atherosclerosis is considered to be an equally important risk factor in the progression of vascular cognitive impairment. This article aims to investigate whether carotid atherosclerotic calcification is associated with the increased risk of post-stroke cognitive impairment (PSCI).Methods: A total of 128 patients (mean age: 62.1 ± 12.2 years, 37 women) suffering from ischemic stroke underwent brain/neck computer tomography angiography examination. The presence and characteristic of carotid calcification (size, number and location) were analyzed on computer tomography angiography. White matter hyperintensity (WMH) was assessed using Fazekas scales. PSCI was diagnosed based on a battery of neuropsychological assessments implemented 6−12 months after stroke.Results: Among 128 patients, 26 developed post-stroke dementia and 96 had carotid calcification. Logistic regression found carotid calcification (odds ratio [OR] = 7.15, 95% confidence interval [CI]: 1.07–47.69) and carotid artery stenosis (OR = 6.42, 95% CI: 1.03–40.15) both significantly increased the risk for post-stroke dementia. Moreover, multiple, thick/mixed, and surface calcifications exhibited an increasing trend in PSCI (Ptrend = 0.004, 0.016, 0.045, respectively). The prediction model for post-stroke dementia including carotid calcification (area under curve = 0.67), WMH (area under curve = 0.67) and other covariates yielded an area under curve (AUC) of 0.90 (95% CI: 0.82–0.99).Conclusion: Our findings demonstrated that the quantity and location of carotid calcifications were independent indicators for PSCI. The significant role of large vessel atherosclerosis in PSCI should be concerned in future study.https://www.frontiersin.org/articles/10.3389/fnagi.2021.682908/fullstrokecognitionatherosclerosiscalcificationComputed Tomographic Angiography |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yingzhe Wang Chanchan Li Mengyuan Ding Luyi Lin Peixi Li Yizhe Wang Qiang Dong Qiang Dong Yanmei Yang Mei Cui Mei Cui |
spellingShingle |
Yingzhe Wang Chanchan Li Mengyuan Ding Luyi Lin Peixi Li Yizhe Wang Qiang Dong Qiang Dong Yanmei Yang Mei Cui Mei Cui Carotid Atherosclerotic Calcification Characteristics Relate to Post-stroke Cognitive Impairment Frontiers in Aging Neuroscience stroke cognition atherosclerosis calcification Computed Tomographic Angiography |
author_facet |
Yingzhe Wang Chanchan Li Mengyuan Ding Luyi Lin Peixi Li Yizhe Wang Qiang Dong Qiang Dong Yanmei Yang Mei Cui Mei Cui |
author_sort |
Yingzhe Wang |
title |
Carotid Atherosclerotic Calcification Characteristics Relate to Post-stroke Cognitive Impairment |
title_short |
Carotid Atherosclerotic Calcification Characteristics Relate to Post-stroke Cognitive Impairment |
title_full |
Carotid Atherosclerotic Calcification Characteristics Relate to Post-stroke Cognitive Impairment |
title_fullStr |
Carotid Atherosclerotic Calcification Characteristics Relate to Post-stroke Cognitive Impairment |
title_full_unstemmed |
Carotid Atherosclerotic Calcification Characteristics Relate to Post-stroke Cognitive Impairment |
title_sort |
carotid atherosclerotic calcification characteristics relate to post-stroke cognitive impairment |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Aging Neuroscience |
issn |
1663-4365 |
publishDate |
2021-05-01 |
description |
Background: Together with cerebral small vessel disease (CSVD), large vessel atherosclerosis is considered to be an equally important risk factor in the progression of vascular cognitive impairment. This article aims to investigate whether carotid atherosclerotic calcification is associated with the increased risk of post-stroke cognitive impairment (PSCI).Methods: A total of 128 patients (mean age: 62.1 ± 12.2 years, 37 women) suffering from ischemic stroke underwent brain/neck computer tomography angiography examination. The presence and characteristic of carotid calcification (size, number and location) were analyzed on computer tomography angiography. White matter hyperintensity (WMH) was assessed using Fazekas scales. PSCI was diagnosed based on a battery of neuropsychological assessments implemented 6−12 months after stroke.Results: Among 128 patients, 26 developed post-stroke dementia and 96 had carotid calcification. Logistic regression found carotid calcification (odds ratio [OR] = 7.15, 95% confidence interval [CI]: 1.07–47.69) and carotid artery stenosis (OR = 6.42, 95% CI: 1.03–40.15) both significantly increased the risk for post-stroke dementia. Moreover, multiple, thick/mixed, and surface calcifications exhibited an increasing trend in PSCI (Ptrend = 0.004, 0.016, 0.045, respectively). The prediction model for post-stroke dementia including carotid calcification (area under curve = 0.67), WMH (area under curve = 0.67) and other covariates yielded an area under curve (AUC) of 0.90 (95% CI: 0.82–0.99).Conclusion: Our findings demonstrated that the quantity and location of carotid calcifications were independent indicators for PSCI. The significant role of large vessel atherosclerosis in PSCI should be concerned in future study. |
topic |
stroke cognition atherosclerosis calcification Computed Tomographic Angiography |
url |
https://www.frontiersin.org/articles/10.3389/fnagi.2021.682908/full |
work_keys_str_mv |
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