# Association between uric acid to high-density lipoprotein cholesterol ratio and moderate-to-severe perivascular spaces burden: a retrospective cross-sectional study

## TL;DR

This study finds that higher levels of a metabolic marker called UHR are linked to more severe perivascular spaces in the brain, which could help assess neurological risk.

## Contribution

The study is the first to explore the association between UHR and perivascular space burden in a large patient cohort.

## Key findings

- UHR levels were significantly higher in patients with moderate-to-severe perivascular space burden.
- A dose-dependent relationship was found between UHR and perivascular space severity.
- Adding UHR to predictive models improved the accuracy of identifying moderate-to-severe perivascular space burden.

## Abstract

Perivascular spaces (PVS) are critical for waste clearance in the central nervous system and are implicated in various neurological disorders. The uric acid to high-density lipoprotein cholesterol ratio (UHR) is a novel inflammatory-metabolic marker, but its association with PVS burden remains unexplored. This study investigated the association between UHR and moderate-to-severe PVS burden.

A retrospective cross-sectional analysis was conducted on 808 patients between 2022 and 2024. UHR levels were calculated and categorized into quartiles. PVS burdens in the basal ganglia and centrum semiovale regions were assessed. Logistic regression, correlation, subgroup, and restricted cubic splines analyses were performed to evaluate the relationship between UHR and PVS burden. The net reclassification index (NRI) and integrated discrimination improvement (IDI) were calculated. Additionally, sensitivity analyses were performed to validate the robustness of the findings.

UHR was significantly higher in patients with moderate-to-severe PVS burden compared to those with none-to-mild PVS burden (p < 0.001). Multivariate logistic regression revealed a positive, dose-dependent relationship between UHR and moderate-to-severe PVS burden (OR = 1.07, 95% CI: 1.03–1.12, p < 0.001). This association was consistent across the basal ganglia and centrum semiovale regions. Subgroup analyses suggested a consistent association across various subgroups, with LDL-C levels affecting the UHR-PVS relationship. Incorporating UHR into predictive models significantly improved the identification of moderate-to-severe PVS burden (NRI = 0.310, IDI = 0.013, p < 0.001).

Our findings indicate a significant association between UHR levels and moderate-to-severe PVS burden, demonstrating potential implications for PVS risk assessment and management.