Significant association of metabolic syndrome with silent brain infarction in elderly people
- 202 Downloads
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 ≥65 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.
KeywordsMetabolic syndrome Silent brain infarction Aged MRI Cross-sectional study
This study was supported by a grant of the Korea Health 21 R&D Project, Ministry of Health and Welfare (A060171).
- 1.Alberti KG, Zimmet PZ (1998) Definition, diagnosis and classification of diabetes mellitus and its complications. Part 1: diagnosis and classification of diabetes mellitus provisional report of a WHO consultation. Diabet Med 15:539–553. doi: 10.1002/(SICI)1096-9136(199807)15:7<539::AID-DIA668>3.0.CO;2-S CrossRefPubMedGoogle Scholar
- 4.Bonora E, Targher G, Formentini G, Calcaterra F, Lombardi S, Marini F, Zenari L, Saggiani F, Poli M, Perbellini S, Raffaelli A, Gemma L, Santi L, Bonadonna RC, Muggeo M (2004) The metabolic syndrome is an independent predictor of cardiovascular disease in type 2 diabetic subjects. Prospective data from the Verona Diabetes Complications Study. Diabet Med 21:52–58. doi: 10.1046/j.1464-5491.2003.01068.x CrossRefPubMedGoogle Scholar
- 12.Grundy SM, Cleeman JI, Daniels SR, Donato KA, Eckel RH, Franklin BA, Gordon DJ, Krauss RM, Savage PJ, Smith SC Jr, Spertus JA, Costa F (2005) Diagnosis and management of the metabolic syndrome: an American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Circulation 112:2735–2752. doi: 10.1161/CIRCULATIONAHA.105.169404 CrossRefPubMedGoogle Scholar
- 22.Price TR, Manolio TA, Kronmal RA, Kittner SJ, Yue NC, Robbins J, Anton-Culver H, O’Leary DH (1997) Silent brain infarction on magnetic resonance imaging and neurological abnormalities in community-dwelling older adults. The Cardiovascular Health Study. CHS Collaborative Research Group. Stroke 28:1158–1164PubMedGoogle Scholar
- 30.Western Pacific Regional Office of the World Health Organization (2000) The Asia-Pacific perspective: redefining obesity and its treatment. Health Communications Australia, SydneyGoogle Scholar