HDL-C/LDL-C and Risk of Cerebral White Matter Hyperintensities: A Cross-Sectional Study

Int J Gen Med. 2023 Nov 7:16:5175-5182. doi: 10.2147/IJGM.S439150. eCollection 2023.

Abstract

Background and purpose: At present, there is still a lack of metabolic indices to predict white matter hyperintensities. This study aimed to explore the correlations of the high-density lipoprotein cholesterol (HDL-C)/low-density lipoprotein cholesterol (LDL-C) ratio with the risk of white matter hyperintensities.

Methods: Hospitalized patients who underwent inpatient treatment or physical examination due to various chronic diseases between January 18, 2018, and March 20, 2023, were enrolled. Fazekas scores were used to assess the severity of white matter hyperintensities. Logistic regression analysis was used to adjust for possible confounders.

Results: Of the 1162 enrolled patients, 770 (66.27%) patients were classified as having no or mild WMHs, and 392 (33.73%) were classified as having moderate or severe WMHs. After adjusting for covariates, the logistic regression analysis indicated that the ratio of HDL-C to LDL-C was related to the severity of WMHs (Model 1, OR = 0.23, 95% CI: 0.07-0.73, P=0.012; Model 2, OR = 2.03, 95% CI: 1.12-3.67, P=0.019).

Conclusion: Our findings suggest that the ratio of HDL-C to LDL-C is related to the severity of WMHs and that a high ratio of HDL-C to LDL-C is a protective factor against WMHs. This suggests that the ratio of HDL-C to LDL-C could be used as a metabolic prediction index of WMH severity.

Keywords: Fazekas scale; high-density lipoprotein cholesterol; low-density lipoprotein cholesterol; risk; white matter hyperintensities.

Grants and funding

This research was supported by Scientific research project of Jiangsu Provincial Health Commission (M2022009); the Nanjing Health Science and Technology Development Special Fund Project (YKK22216); the Clinical Medical Science and Technology Development Fund of Jiangsu University (JLY2021153); Jiangning District Science and Technology Huimin Project (2022092S).