Analysis on metabolic syndrome and its components in ischemic stroke

Abstract

Objective To screen metabolic syndrome (MS) and its components in ischemic stroke, and to explore the effect of MS and its components on ischemic stroke. Methods A total of 954 patients with ischemic stroke (ischemic stroke group) and 768 patients with other nervous system diseases (control group) were enrolled in this study. Their sex, age, body mass index (BMI), abdominal girth, blood pressure [systolic blood pressure (SBP) and diastolic blood pressure (DBP), serum triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), fasting blood glucose (FBG), blood glucose 2 h after oral glucose tolerance test (OGTT) and prevalence of MS were measured and recorded. Univariate and multivariate Logistic regression analysis were used to analyze and screen MS and its risk factors in ischemic stroke. Results Age (t = 5.766, P = 0.000), BMI (t = 2.320, P = 0.011), abdominal girth of female (t = 2.021, P = 0.020), SBP (t = 3.790, P = 0.000), TG (t = 2.766, P = 0.003), FBG (t = 3.391, P = 0.000), blood glucose 2 h after OGTT (t =2.439, P = 0.008) in ischemic stroke group were significantly higher than those in control group. HDL-C in ischemic stroke group was significantly lower than that in control group (t = 1.967, P = 0.024). Prevalence of MS in ischemic stroke group was significantly higher than that in control group [61.01% (582/954) vs. 21.88% (168/768); χ2 = 44.168, P = 0.000], and MS prevalence of female patients in ischemic stroke group was significantly higher than male [74.68% (354/474) vs. 47.50% (228/480); χ 2 = 74.082, P = 0.000]. Logistic regression analysis revealed that MS (OR = 5.122, 95% CI: 3.012-8.718; P = 0.000), age (OR = 1.040, 95%CI: 1.011-1.069; P = 0.007), BMI (OR = 2.465, 95%CI: 1.045- 5.812; P = 0.018), abdominal girth (OR = 2.825, 95% CI: 1.359-5.878; P = 0.005), blood pressure (OR = 4.988, 95% CI: 2.416-10.297; P = 0.000), TG (OR = 2.272, 95%CI: 1.161-4.449; P = 0.017), HDL-C (OR = 2.510, 95%CI: 1.160-5.428; P = 0.019), FBG (OR = 3.193, 95%CI: 1.479-6.894; P = 0.003) and blood glucose 2 h after OGTT (OR = 4.040, 95%CI: 1.923-8.483; P = 0.000) were independent risk factors for ischemic stroke. Conclusions MS and its components are independent risk factors for ischemic stroke. Targeted intervention for MS and its components is an important solution to prevent and treat ischemic stroke. DOI: 10.3969/j.issn.1672-6731.2018.06.012

Keywords

• Stroke
• Brain ischemia
• Metabolic diseases
• Risk factors
• Regression analysis