Analysis of risk factors for vascular cognitive impairment in patients with cerebral infarction

Xiao-lei An1, Chuan-ling Li

  • 1Department of Neurology, The Central Hospital of Xuzhou, No. 199 Jiefang South Road, Xuzhou, 221009, China, 15852177980@163.com.

Insights

Age, glycosylated hemoglobin, blood pressure, homocysteine (Hcy), and High-Sensitivity C-Reactive Protein (HS-CRP) are key predictors of vascular cognitive impairment (VCI) in stroke patients. Identifying these risk factors aids in predicting and managing VCI after cerebral infarction.

Area of Science:

  • Neurology
  • Cardiology
  • Gerontology

Background:

  • Vascular cognitive impairment (VCI) is a common complication following cerebral infarction.
  • Identifying modifiable and non-modifiable risk factors is crucial for VCI prevention and management.

Purpose of the Study:

  • To identify independent risk factors for VCI in patients who have experienced cerebral infarction.
  • To evaluate the association of various clinical and biochemical markers with VCI development.

Main Methods:

  • A cohort of 300 patients with cerebral infarction was analyzed.
  • Single factor analysis and multivariate logistic regression were employed to assess risk factors.
  • Evaluated factors included age, gender, blood pressure, lipids, glycosylated hemoglobin, atrial fibrillation, smoking, alcohol, homocysteine (Hcy), and High-Sensitivity C-Reactive Protein (HS-CRP).

Main Results:

  • Single factor analysis indicated significant associations between VCI and age, glycosylated hemoglobin, atrial fibrillation, blood pressure, Hcy, HS-CRP, tobacco smoking, and alcohol consumption.
  • Multivariate logistic regression identified age, glycosylated hemoglobin, blood pressure, Hcy, and HS-CRP as independent predictors of VCI.
  • These five factors demonstrated significant predictive value for VCI in the study population.

Conclusions:

  • Age, elevated glycosylated hemoglobin, hypertension, hyperhomocysteinemia, and high HS-CRP levels are significant independent risk factors for VCI post-cerebral infarction.
  • These identified factors can be utilized as predictive markers for VCI in clinical practice.
  • Further research may focus on targeted interventions for these modifiable risk factors to mitigate VCI risk.

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