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.
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.
Introduction:
The distribution of cerebral age-related white matter changes (ARWMC) may be indicative of the underlying etiology and could suggest optimal interventions. We aimed to determine if left ventricular hypertrophy (LVH), a marker of uncontrolled hypertension, along with additional risk factors are associated with the distribution of cerebral ARWMC.
Methods:
We analyzed data of 172 patients from a hospital stroke registry who had acute stroke and brain MRI. We classified lesion location as superficial (frontal, parieto-occipital, or temporal) or deep (basal nuclei) using the ARWMC scale. We defined a superficial ARWMC index as the superficial minus the deep score. We excluded infratentorial lesions and patients with bilateral strokes. Regression analysis analyzed LVH and other relevant clinical factors for independent association with the superficial ARWMC index.
Results:
The superficial ARWMC scores ranged from 0 to 6, the deep scores from 0 to 3, and the superficial ARWMC index from -2 to 6. We categorized the superficial ARWMC index as -2 to 1 (n = 65), 2 (n = 50), and 3 - 6 (n = 57). In bivariate analysis, ARWMC distribution was significantly associated with older age, lower household income (HI), and lower serum triglyceride (TG) levels. In multiple logistic regression analysis, higher superficial ARWMC index was significantly associated with lower HI (OR 10.72, 95 % CI 2.30-49.85), lower serum low density cholesterol (LDL) (OR 0.86, 95 % CI 0.75-0.98, per 10 mg/dL), and lower serum TG levels (OR 0.91, 95 % CI 0.85-0.99, per 10 mg/dL). The area under the curve in receiver operating characteristic analysis (95 % CI) for HI was 0.63 (0.49-0.76), LDL level 0.64 (0.51-0.77), and TG level 0.77 (0.65-0.88).
Conclusion:
In this study, LVH was not associated with the distribution of cerebral ARWMC. Using an alternate classification of ARWMC distribution and analyzing additional risk factors in larger studies may yield further discoveries.
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