Association of Newly Found Asymptomatic Intracranial Artery Stenosis and Ideal Cardiovascular Health Metrics in Chinese Community Population.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
29 04 2020
Historique:
received: 04 12 2018
accepted: 25 03 2020
entrez: 1 5 2020
pubmed: 1 5 2020
medline: 26 11 2020
Statut: epublish

Résumé

In the general population, there is a strong inverse relationship between the number of ideal cardiovascular health (CVH) metrics and the total incidence of cardiovascular diseases and stroke. However, the prevalence of ideal CVH is extremely low and there are few studies on its association with newly found asymptomatic intracranial arterial stenosis (AICAS). Therefore, we performed this prospective study to assess the relationship between the newly found AICAS and ideal CVH metrics in the Chinese community population. Seven ideal CVH metrics of 3,475 participants in the Asymptomatic Polyvascular Abnormalities Community study (APAC) conducted in China (1,962 men and 1,513 women between the ages of 45 and 75 years) were collected. Based on the occurrence of newly found AICAS, all participants were divided into the AICAS group and non-ICAS group. Prevalence of ideal CVH metrics was compared between the two groups. Logistic regression was used to estimate the association of newly found AICAS with ideal CVH metrics. The result was the number of ideal CVH metrics was strongly associated with age, gender, education levels and family income (each P < 0.0001). Among the seven CVH metrics total cholesterol (TC) was the only one showing significant difference between the newly found AICAS group and non-ICAS group in our 2 years observation. Participants with less ideal CVH metrics (≤3) were associated with significantly higher prevalence of AICAS than those with more (>3) ideal CVH metrics (OR, 1.27; P = 0.045). Furthermore, less (≤3) ideal CVH metrics was markedly associated with higher incidence of AICAS for all participants, younger participants (<60 years) (OR, 1.34; P = 0.046) and men participants (OR, 1.53; P = 0.032) after adjustment for gender, age, education level, family income and stroke history. Thus we conclude that participants with newly found AICAS have high prevalence of total cholesterol status, and Individuals with low ideal CVH metrics (≤3) are associated with significantly higher prevalence of asymptomatic ICAS, especially in high-risk population of young and men participants. Therefore, primordial prevention of stroke should also focus on those high-risk populations.

Identifiants

pubmed: 32350306
doi: 10.1038/s41598-020-63927-3
pii: 10.1038/s41598-020-63927-3
pmc: PMC7190703
doi:

Types de publication

Clinical Trial Comparative Study Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

7200

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Auteurs

Changfeng Fan (C)

Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100050, China.
Department of Neurology, Peking University Shougang Hospital, Beijing, 100144, China.

Qian Zhang (Q)

Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100050, China.

Shufeng Zhang (S)

Department of Neurology, the General Hospital of Chinese People's Armed Police Forces, Beijing, 100142, China.

Anxin Wang (A)

Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100050, China.

Xinwei Bi (X)

Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100050, China.

Shengyun Chen (S)

Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100050, China.

Zhaoxia Li (Z)

Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100050, China.

Shouling Wu (S)

Department of Cardiology, Kailuan Hospital, Tangshan, 063000, China.

Xingquan Zhao (X)

Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100050, China. zxq@vip.163.com.

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