Significant association of metabolic syndrome with silent brain infarction in elderly people

Hyung Min Kwon; Beom Joon Kim; Jin Ho Park; Wi Sun Ryu; Chi Kyung Kim; Su Ho Lee; Sang Bae Ko; Hyunwoo Nam; Seung Hoon Lee; Yong Seok Lee; Byung Woo Yoon

doi:10.1007/s00415-009-5201-8

Significant association of metabolic syndrome with silent brain infarction in elderly people

Hyung Min Kwon, Beom Joon Kim, Jin Ho Park, Wi Sun Ryu, Chi Kyung Kim, Su Ho Lee, Sang Bae Ko, Hyunwoo Nam, Seung Hoon Lee, Yong Seok Lee, Byung Woo Yoon

Research output: Contribution to journal › Article › peer-review

41 Citations (Scopus)

Abstract

A silent brain infarction (SBI) can predict clinical overt stroke or dementia. Studies focusing on the elderly population, where SBI is most common, are sparse. We examined the associations between SBI and metabolic syndrome (MetS) in healthy elderly individuals. Neurologically healthy subjects (1,254 persons, 723 males) aged C65 years who underwent brain MRI were evaluated. MetS was diagnosed following the AHA/NHLBI-2005 criteria. We examined associations between full syndrome (at least three of the five conditions) as well as its components and SBI while controlling for possible confounders. One hundred and ninety-seven subjects (15.7%) were found to have one or more SBIs on MRI. Age (1-year difference) was found to be significantly related to SBI prevalence (OR 1.09; 95% CI 1.05-1.12). MetS was significantly associated with SBI (OR 1.68; 95% CI 1.15- 2.44). The component model of MetS showed a strong significance between elevated blood pressure (OR 1.89; 95% CI 1.23-2.91) and SBI. Subjects exhibiting more components of MetS showed more prevalent SBI and multiple SBIs. MetS was found to be significantly associated with SBI in neurologically healthy elderly people. The positive trend between the number of MetS components and SBI could be used as a diagnostic tool to predict and prevent future stroke.

Original language	English
Pages (from-to)	1825-1831
Number of pages	7
Journal	Journal of Neurology
Volume	256
Issue number	11
DOIs	https://doi.org/10.1007/s00415-009-5201-8
Publication status	Published - 2009 Nov

Bibliographical note

Funding Information:
This study was supported by a grant of the Korea Health 21 R&D Project, Ministry of Health and Welfare (A060171).

Keywords

Aged
Cross-sectional study
MRI
Metabolic syndrome
Silent brain infarction

ASJC Scopus subject areas

Neurology
Clinical Neurology

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10.1007/s00415-009-5201-8

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title = "Significant association of metabolic syndrome with silent brain infarction in elderly people",

abstract = "A silent brain infarction (SBI) can predict clinical overt stroke or dementia. Studies focusing on the elderly population, where SBI is most common, are sparse. We examined the associations between SBI and metabolic syndrome (MetS) in healthy elderly individuals. Neurologically healthy subjects (1,254 persons, 723 males) aged C65 years who underwent brain MRI were evaluated. MetS was diagnosed following the AHA/NHLBI-2005 criteria. We examined associations between full syndrome (at least three of the five conditions) as well as its components and SBI while controlling for possible confounders. One hundred and ninety-seven subjects (15.7%) were found to have one or more SBIs on MRI. Age (1-year difference) was found to be significantly related to SBI prevalence (OR 1.09; 95% CI 1.05-1.12). MetS was significantly associated with SBI (OR 1.68; 95% CI 1.15- 2.44). The component model of MetS showed a strong significance between elevated blood pressure (OR 1.89; 95% CI 1.23-2.91) and SBI. Subjects exhibiting more components of MetS showed more prevalent SBI and multiple SBIs. MetS was found to be significantly associated with SBI in neurologically healthy elderly people. The positive trend between the number of MetS components and SBI could be used as a diagnostic tool to predict and prevent future stroke.",

keywords = "Aged, Cross-sectional study, MRI, Metabolic syndrome, Silent brain infarction",

author = "Kwon, {Hyung Min} and Kim, {Beom Joon} and Park, {Jin Ho} and Ryu, {Wi Sun} and Kim, {Chi Kyung} and Lee, {Su Ho} and Ko, {Sang Bae} and Hyunwoo Nam and Lee, {Seung Hoon} and Lee, {Yong Seok} and Yoon, {Byung Woo}",

note = "Funding Information: This study was supported by a grant of the Korea Health 21 R&D Project, Ministry of Health and Welfare (A060171).",

year = "2009",

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doi = "10.1007/s00415-009-5201-8",

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AU - Kwon, Hyung Min

AU - Kim, Beom Joon

AU - Park, Jin Ho

AU - Ryu, Wi Sun

AU - Kim, Chi Kyung

AU - Lee, Su Ho

AU - Ko, Sang Bae

AU - Nam, Hyunwoo

AU - Lee, Seung Hoon

AU - Lee, Yong Seok

AU - Yoon, Byung Woo

N1 - Funding Information: This study was supported by a grant of the Korea Health 21 R&D Project, Ministry of Health and Welfare (A060171).

PY - 2009/11

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AB - A silent brain infarction (SBI) can predict clinical overt stroke or dementia. Studies focusing on the elderly population, where SBI is most common, are sparse. We examined the associations between SBI and metabolic syndrome (MetS) in healthy elderly individuals. Neurologically healthy subjects (1,254 persons, 723 males) aged C65 years who underwent brain MRI were evaluated. MetS was diagnosed following the AHA/NHLBI-2005 criteria. We examined associations between full syndrome (at least three of the five conditions) as well as its components and SBI while controlling for possible confounders. One hundred and ninety-seven subjects (15.7%) were found to have one or more SBIs on MRI. Age (1-year difference) was found to be significantly related to SBI prevalence (OR 1.09; 95% CI 1.05-1.12). MetS was significantly associated with SBI (OR 1.68; 95% CI 1.15- 2.44). The component model of MetS showed a strong significance between elevated blood pressure (OR 1.89; 95% CI 1.23-2.91) and SBI. Subjects exhibiting more components of MetS showed more prevalent SBI and multiple SBIs. MetS was found to be significantly associated with SBI in neurologically healthy elderly people. The positive trend between the number of MetS components and SBI could be used as a diagnostic tool to predict and prevent future stroke.

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IS - 11

ER -

Significant association of metabolic syndrome with silent brain infarction in elderly people

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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