Literature DB >> 27769610

Metabolic Syndrome and the Risk of Ischemic Stroke.

Nizal Sarrafzadegan1, Mojgan Gharipour2, Masoumeh Sadeghi3, Pouya Nezafati4, Mohammad Talaie5, Shahram Oveisgharan6, Fatemeh Nouri1, Alireza Khosravi7.   

Abstract

BACKGROUND: Metabolic syndrome (MetS) is recently proposed as a predictor for the occurrence of vascular defects causing ischemic stroke. However, details on the association of MetS with stroke are scare in our region. The present study aimed to assess the predictive value of MetS and its components for stoke among the Iranian population.
METHODS: A longitudinal population-based study was conducted on adults aged 35 years or older who were living in 3 districts in central part of Iran and followed for 10 years. Stroke was diagnosed using World Health Organization guidelines, and MetS was defined according to the Adult Treatment Panel-III definition.
RESULTS: Among the 5398 subjects, 2021 suffered from MetS with an incidence of 37.4%. The incidence rates of stroke in those with and without MetS were 2.6% and 1.1%, respectively, with a higher significance in the former group (P = .026). Compared to the controls, participants with stroke exhibited a higher prevalence of some components of MetS including hyperglycemia and hypertension. On Cox proportional hazard analysis, the hazard ratio for a long-term risk of ischemic stroke was 1.37 overall (95% confidence interval: 1.15-1.63, P < .001) in subjects with MetS. Considering different components of MetS, hyperglycemia (hazard ratio = 1.83, P = .011) and hypertension (1.74, P = .019) could effectively predict occurrence of long-term ischemic stroke.
CONCLUSION: MetS and its main components can be potent predictors for long-term ischemic stroke. Thus, the focus should be on identification and appropriate control of MetS components to prevent stroke occurrence.
Copyright © 2017 National Stroke Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Metabolic syndrome; hazard; prediction; stroke

Mesh:

Year:  2016        PMID: 27769610     DOI: 10.1016/j.jstrokecerebrovasdis.2016.09.019

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


  13 in total

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9.  Prevalence of Stroke Risk Factors and Their Distribution Based on Stroke Subtypes in Gorgan: A Retrospective Hospital-Based Study-2015-2016.

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10.  High-density lipoprotein-cholesterol functionality and metabolic syndrome: Protocol for review and meta-analysis.

Authors:  Leonardo Roever; Elmiro Santos Resende; Angélica Lemos Debs Diniz; Nilson Penha-Silva; João Lucas O'Connell; Paulo Fernando Silva Gomes; Hugo Ribeiro Zanetti; Anaisa Silva Roerver-Borges; Fernando César Veloso; Fernanda Rodrigues de Souza; Poliana Rodrigues Alves Duarte; Thiago Montes Fidale; Antonio Casella-Filho; Paulo Magno Martins Dourado; Antonio Carlos Palandri Chagas; Sadeq Ali-Hasan-Al-Saegh; Paulo Eduardo Ocke Reis; Rogério de Melo Costa Pinto; Gustavo B F Oliveira; Álvaro Avezum; Mansueto Neto; André Rodrigues Durães; Rose Mary Ferreira Lisboa da Silva; Antonio José Grande; Celise Denardi; Renato Delascio Lopes; Nitesh Nerlekar; Shahab Alizadeh; Adrian V Hernandez; Maria Inês da Rosa; Giuseppe Biondi-Zoccai
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