[Prevalence and risk factors of perivascular space in the population of Shunyi Study].
Zhonghua Yi Xue Za Zhi
; 99(9): 647-652, 2019 Mar 05.
Article
em Zh
| MEDLINE
| ID: mdl-30831611
Objective: To investigate the prevalence on imaging, topographic distribution and risk factors of perivascular space (PVS) in community population. Methods: This study was based on the population of Shunyi Study in China from June 2013 to September 2016. One thousand two hundred and thirty-two stroke free participants older than 35 years, who completed cerebral MRI, were included. Cardiovascular risk factors were assessed by interview, physical examination and blood sample tests. PVS were evaluated on high-resolution 3-dimensional-T1WI, T2WI and FLAIR sequences. On T1WI, PVS were detected according to 3D imaging criteria. The number and anatomic location of large PVS (≥3 mm) were recorded. And severity of PVS was then semiquantitatively graded in both white matter (WM) and basal ganglia (BG). Associations between risk factors and PVS were analyzed by multinominal Logistic regression models and adjusted for age, gender and relevant confounders. Results: Perivascular spaces were observed in the BG or WM in every subject, aged (55±10) years and 37.3% male. Large PVS were detected in 19.0% (460/1 232) of participants. Severity of PVS was found to be strongly associated with age in both basal ganglia (severe versus mild: OR=1.81; 95%CI 1.45-2.27, P<0.01) and white matter (OR=1.39; 95%CI 1.13-1.71, P<0.01), and the proportion of subjects with hypercholesterolemia decreased with the severity of PVS in BG (OR=0.58, P=0.01) . The present of large PVS was found to be associated with age(present versus absent: OR=1.03, 95%CI 1.02-1.05, P<0.01) and ApoE ε4 carrier genotype(OR=1.53, 95%CI 1.01-2.23, P=0.04). Conclusions: Perivascular spaces are always detected in the BG or WM in elderly people, and large PVS are also prevalent in community-based population. The risk factors are different due to distribution and size, and may depend on anatomic or pathologic characteristics.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Substância Branca
Tipo de estudo:
Etiology_studies
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Prevalence_studies
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Prognostic_studies
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Risk_factors_studies
Limite:
Aged
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Female
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Humans
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Male
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Middle aged
País/Região como assunto:
Asia
Idioma:
Zh
Revista:
Zhonghua Yi Xue Za Zhi
Ano de publicação:
2019
Tipo de documento:
Article
País de afiliação:
China