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Metabolic Syndrome Is a Strong Risk Factor for Minor Ischemic Stroke and Subsequent Vascular Events

BACKGROUND: Minor ischemic stroke (MIS) represents a major global public health problem worldwide due to high incidence. The aim of this study was to investigate whether metabolic syndrome (MetS) is a strong risk for MIS and subsequent vascular events (SVE). METHODS: A retrospective cohort study was...

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Detalles Bibliográficos
Autores principales: Wang, Guang-Sheng, Tong, Dao-Ming, Chen, Xiao-Dong, Yang, Tong-Hui, Zhou, Ye-Ting, Ma, Xiao-Bo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4990187/
https://www.ncbi.nlm.nih.gov/pubmed/27536865
http://dx.doi.org/10.1371/journal.pone.0156243
Descripción
Sumario:BACKGROUND: Minor ischemic stroke (MIS) represents a major global public health problem worldwide due to high incidence. The aim of this study was to investigate whether metabolic syndrome (MetS) is a strong risk for MIS and subsequent vascular events (SVE). METHODS: A retrospective cohort study was performed examining symptomatic MIS in a Chinese neurologic outpatient population aged over 25 years without history of stroke. MetS was defined using the International Diabetes Federation criteria. MIS was diagnosed by magnetic resonance imaging-diffusion weighted images or fluid-attenuated inversion recovery. RESULTS: Of 1361 outpatients, a total of 753 (55.3%) patients were diagnosed with MIS; of them, 80% had a score of 0 using the MIS had a 0 score on the National Institutes of Health Stroke Scale. Among these, 303 (40.2%) individuals with MIS were diagnosed with MetS. Diagnosed of MIS with MetS significantly correlated with abdominal obesity (30.7% v.s 18.0%), hypertension (91.1% v.s 81.6%), increased blood glucose (6.9±2.4 v.s 5.0±0.4), dyslipidemia (78.2% v.s 48.2%), and SVE (50.5% v.s 11.3%) when compared with the controls group. On adjusted analysis, the risk of SVE was also significantly associated with three additional MetS criterion (RR,9.0; 95% CI, 5.677–14.46). Using Cox proportional analysis, risk of SVE in patient with MIS was significantly associated with MetS (RR, 3.3; 95% CI, 1.799–6.210), older age (RR, 1.0; 95% CI, 1.001–1.048), and high blood glucose (RR,1.1; 95%CI, 1.007–1.187). CONCLUSIONS: The MetS is a strong risk factor for MIS, and patients presenting with MIS and MetS are at a high risk of SVE. Further studies are required to determine the improvement of Mets prevention in the reduction of MIS and SVE.