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Association of Blood Lipid Profile Components with White Matter Hyperintensity Burden in Cerebral Small Vessel
Shanshan Li1,2, Yunchao Wang1,2, Lulu Yu1,2
1Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, Henan, China.
Insights
Low-density lipoprotein (LDL) levels are linked to white matter hyperintensities (WMH) in cerebral small vessel disease (CSVD). Lower LDL correlated with increased WMH severity, particularly in men under 70.
Area of Science:
- Neurology
- Cerebrovascular Diseases
- Medical Imaging
Background:
- Cerebral small vessel disease (CSVD) is a common cerebrovascular condition.
- White matter hyperintensities (WMHs) are a hallmark of CSVD.
- Limited research exists on the association between lipid profiles and WMHs in CSVD.
Purpose of the Study:
- To investigate the relationship between lipid profile components and the severity of white matter hyperintensities (WMHs) in patients with cerebral small vessel disease (CSVD).
- To identify key predictors of WMH severity in CSVD patients.
Main Methods:
- A cohort of 1019 CSVD patients was analyzed.
- White matter hyperintensity (WMH) volumes were quantified using MRIcro software.
- Multivariate regression analysis examined associations between WMH severity, blood lipids, and risk factors.
Main Results:
- Low-density lipoprotein (LDL) levels independently predicted WMH severity.
- Decreased LDL levels were associated with increased WMH volume.
- Higher homocysteine levels and a history of cerebral infarction were also linked to greater WMH volumes.
Conclusions:
- The study highlights the significant association between lipid profiles, particularly LDL, and WMH severity in CSVD.
- Findings suggest a potential role for lipid management in mitigating WMH progression.
- The results offer valuable insights for clinical diagnosis and therapeutic strategies in CSVD.
Background:
Cerebral small vessel disease (CSVD) refers to a common cerebrovascular disease and white matter hyperintensities (WMHs) constitute a typical feature of CSVD. However, there has not been a large number of studies investigating the relationship between lipid profile components and WMHs.
Methods:
Altogether, 1019 patients with CSVD were enrolled at the First Affiliated Hospital of Zhengzhou University between April 2016 to December 2021. Baseline data were collected for all patients, including demographic characteristics and clinical data. WMH volumes were evaluated by two experienced neurologists using the MRIcro software. Multivariate regression analysis was used to investigate the relationship among the severity of WMHs, blood lipids and common risk factors.
Results:
Altogether, 1019 patients with CSVD were enrolled, including 255 in the severe WMH group and 764 in the mild WMH group. After including age, sex and blood lipids to construct a multivariate logistic regression equation, we observed that the severity of WMHs was independently predicted by low-density lipoprotein (LDL), homocysteine level and history of cerebral infarction.
Conclusion:
We used WMH volume, a highly accurate measure, to assess its relationship with lipid profiles. The WMH volume increased with a decrease in LDL. This relationship was more significant, especially among the subgroups of patients aged <70 years and men. Patients with cerebral infarction and higher homocysteine levels were more likely to have higher WMH volumes. Our study has provided a reference for clinical diagnosis and therapy, especially for discussing the role of blood lipid profiles in the pathophysiology of CSVD.
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