Distribution of cerebral age-related white matter changes in relation to risk factors in stroke patients

Askiel Bruno1, Pranav Prabu2, Kishore Vedala2

  • 1Department of Neurology, Medical College of Georgia at Augusta University, Augusta, GA, United States.

PubMed

Insights

Left ventricular hypertrophy (LVH) did not correlate with the distribution of cerebral age-related white matter changes (ARWMC). Lower household income and lipid levels were associated with superficial ARWMC distribution in stroke patients.

Area of Science:

  • Neurology
  • Cardiology
  • Radiology

Background:

  • Cerebral age-related white matter changes (ARWMC) distribution may indicate underlying causes and guide interventions.
  • Left ventricular hypertrophy (LVH), a marker for uncontrolled hypertension, was investigated for its association with ARWMC distribution.

Purpose of the Study:

  • To determine if LVH and other risk factors are associated with the distribution of cerebral ARWMC.
  • To analyze the relationship between LVH, clinical factors, and the superficial ARWMC index.

Main Methods:

  • 172 acute stroke patients from a hospital registry with brain MRI data were analyzed.
  • ARWMC lesions were classified as superficial or deep using the ARWMC scale, with a superficial ARWMC index calculated.
  • Regression analysis assessed LVH and clinical factors for independent association with the superficial ARWMC index, excluding infratentorial and bilateral strokes.

Main Results:

  • Higher superficial ARWMC index was significantly associated with lower household income (OR 10.72), lower low-density cholesterol (LDL) (OR 0.86), and lower triglyceride (TG) levels (OR 0.91).
  • Bivariate analysis showed ARWMC distribution associated with older age, lower household income, and lower serum TG levels.
  • Receiver operating characteristic analysis indicated moderate predictive value for household income, LDL, and TG levels.

Conclusions:

  • Left ventricular hypertrophy (LVH) was not found to be associated with the distribution of cerebral ARWMC in this cohort.
  • Further research with alternative ARWMC classification and larger sample sizes may reveal additional risk factors and associations.
Abstract

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