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Metabolic syndrome and three of its components as risk factors for recurrent ischaemic stroke presenting as large-vessel infarction

  • C. W. Liou*
  • , T. Y. Tan
  • , T. K. Lin
  • , P. W. Wang
  • , H. K. Yip
  • *Corresponding author for this work
  • Chang Gung University
  • Chang Gung Memorial Hospital

Research output: Contribution to journalJournal Article peer-review

30 Scopus citations

Abstract

Background and purpose: Although a clear protocol for reduction of recurrent is- chaemic stroke (RIS) has been established, few studies have compared the stroke subtype distribution and risk factors between RIS and first-ever stroke (FES). Methods: This one-year hospital-based study enrolled 587 FES and 475 RIS patients. Patients were categorized into four stroke subtypes according to a modified TOAST stroke subtype classification system. Risk factor profiles were compared between the two major stroke groups and between the corresponding four subtypes to discriminate the significant risk factors for RIS. Results: A multivariate regression analysis identified hypertension (OR, 1.87; 95% CI, 1.34-2.62), diabetes mellitus (DM) (OR, 1.57; 95% CI, 1.22-2.02), low high-density lipoprotein (LHDL) (OR, 1.43; 95% CI, 1.08-1.88) and older age as significant RIS risk factors. The significance of the former three RIS factors was further recognized in its large-vessel subtype. Moreover, metabolic syndrome was significantly more common in the recurrent stroke group (P = 0.01), including its large-vessel subtype (P = 0.04). Progressively increasing odds ratios from 1.49 to 2.02, in accordance with increased number of diagnostic components of metabolic syndrome for recurrent large-vessel ischaemic stroke, were noted. Conclusions: Metabolic syndrome likely plays a crucial role in the development of RIS, including large-vessel infarction in modern-day Taiwan.

Original languageEnglish
Pages (from-to)802-809
Number of pages8
JournalEuropean Journal of Neurology
Volume15
Issue number8
DOIs
StatePublished - 08 2008

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Ischaemic stroke
  • Metabolic syndrome
  • Risk factor
  • Stroke subtype

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