Association of lymphocyte-to-C-reactive protein ratio with cerebral small vessel disease: a cross-sectional study based on dose-response analysis.

Lin, Jie; Liu, Junyi; Luo, Qian; Zhuang, Jieying; Xiao, Ruiyan; Wang, Huijuan; Yang, Xudong; Wei, Xiaolan; Cai, Jiangping

Objective: We investigated the relationship between lymphocyte-to-C-reactive protein ratio (LCR) and common imaging markers of cerebral small vessel disease (CSVD). Methods: Data from 835 CSVD patients were analyzed using univariate and multivariate logistic regression to determine CSVD-associated factors. Multivariate models assessed the association between LCR and CSVD, including common imaging markers. Subgroup analysis by age, sex, smoking history, hypertension, lipid levels, and other factors was conducted. The receiver operating characteristic curve analysis and 10-fold cross-validation were performed to evaluate the predictive performance of LCR. Results: Lymphocyte-to-C-reactive protein ratio was independently associated with a decreased risk of CSVD (p 0.05). The restrictive cubic spline analysis revealed a linear dose-response relationship between log-transformed LCR and the incidence of CSVD (P non-linear = 0.090) as well as moderate-to-severe WMH (P non-linear = 0.304), with a non-linear association with moderate and severe EPVS (P non-linear = 0.001). In the subgroup analyses, LCR remained a significant association with CSVD in most subgroups (p 9/L, and with high-density lipoprotein cholesterol ≥1 mmol/L. No interaction effect was identified between the variables and the LCR (p > 0.1). The predictive capability of LCR for CSVD was confirmed through receiver operating characteristic curve analysis. Conclusion: Lymphocyte-to-C-reactive protein ratio is an independent protective factor for CSVD and is associated with lower WMH or EPVS burden but not lacune. Inflammation is involved in CSVD pathophysiology through multiple pathways, providing potential targets for CSVD intervention.

CEREBRAL small vessel diseases; RECEIVER operating characteristic curves; HDL cholesterol; WHITE matter (Nerve tissue); LOGISTIC regression analysis

Frontiers in Neurology, 2025, p1

1664-2295

Academic Journal

10.3389/fneur.2024.1480115