Literature DB >> 20851624

Metabolic syndrome is a risk factor for acute cerebral infarction in a younger elderly Kurashiki population.

Yasuyuki Ohta1, Yoshiki Takao, Kazuhiro Harada, Yasushi Takehisa, Takeo Takao, Koji Abe.   

Abstract

This study evaluated the association between metabolic syndrome as defined by Japanese criteria and its diagnostic components (visceral obesity, dyslipidemia, hypertension, and impaired glucose tolerance) and acute cerebral infarction in younger elderly (age 50-74 years) and the older elderly (age ≥75 years) persons living in the Japanese city of Kurashiki. We studied 73 patients aged ≥50 years (44 of them aged ≥75 years) admitted to our hospital with acute cerebral infarction and 323 control subjects aged ≥50 years (52 aged ≥75 years) who underwent medical checkup of the brain in our hospital. Types of cerebral infarction included atherothrombotic (27 patients), lacunar (24 patients), cardioembolic (19 patients), and other types (3 patients). Metabolic syndrome was defined based on the Japanese criteria. In multiple logistic regression analysis, among the 29 younger elderly patients aged 50-74 years, dyslipidemia, hypertension, and impaired glucose tolerance as diagnostic components of metabolic syndrome, and metabolic syndrome itself were significantly related to acute cerebral infarction (adjusted odds ratio [OR], 5.664, 4.869, 3.390, and 3.214, respectively). Among the 44 older elderly patients aged ≥75 years, dyslipidemia was significantly related to acute cerebral infarction (OR, 4.193). However, metabolic syndrome was not a significant risk factor for acute cerebral infarction, even when patients with cardioembolic and other types of infarction were excluded. These data suggest that metabolic syndrome as defined by Japanese criteria is an independent risk factor for acute cerebral infarction in the younger elderly, but not the older elderly, Kurashiki population. Copyright Â
© 2012 National Stroke Association. Published by Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20851624     DOI: 10.1016/j.jstrokecerebrovasdis.2010.07.003

Source DB:  PubMed          Journal:  J Stroke Cerebrovasc Dis        ISSN: 1052-3057            Impact factor:   2.136


  3 in total

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Authors:  Ya-Juan Zhang; Wen-Juan Liu
Journal:  Medicine (Baltimore)       Date:  2020-06-12       Impact factor: 1.817

  3 in total

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