Objective: Uric acid (UA) to high-density lipoprotein cholesterol (HDL-C) ratio (UHR) has been recognized as a novel biomarker for evaluating inflammatory and anti-inflammatory interaction. However, it is not known whether UHR is related to abdominal aortic aneurysm (AAA). The current research aims to explore the potential role of UHR in predicting AAA.
Methods: In this study, 303 AAA patients and 408 normal subjects were retrospectively analyzed. The relationship between UHR and AAA was evaluated using Logistic regression models. Receiver operating characteristic (ROC) curves and restricted cubic spline (RCS) analysis were employed to elucidate the detailed association between UHR and AAA.
Results: UHR value in the AAA group was significantly higher than that in the normal group, and UHA was an independent risk factor for AAA. After adjusting for covariates, each 1-unit increase in UHR was associated with a 12% rise in AAA risk (OR: 1.12, 95% CI: 1.03, 1.21). ROC value of UHR was 0.847 (95% CI, 0.811~0.887, P < 0.05), and the optimal critical value of UHR was 17.2%. The incidence of AAA in the UHR≥17.2% group was significantly higher than that in the UHR < 17.2% group. RCS curves revealed a significant nonlinear relationship between UHR and AAA events (p-value < 0.001, p-nonlinear = 0.002).
Conclusion: This study demonstrates that UHR levels are significantly linked to increased AAA risk, which can be widely used as an indicator for dynamic screening of AAA.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11890351 | PMC |
http://dx.doi.org/10.2147/JIR.S508355 | DOI Listing |
BMC Public Health
March 2025
Department of Urology, The First People's Hospital of Changzhou, Changzhou, Jiangsu, China.
PLoS One
March 2025
Department of Cardiology, The First Affiliated Hospital of Harbin Medical University, Harbin, China.
Background: Previous studies have reported that metabolic syndrome is associated with depression. In recent years, the ratio of uric acid to high-density lipoprotein cholesterol (UHR) has been considered as a new effective marker of metabolic syndrome. The purpose of this study was to investigate the association between UHR and depression in people aged 45 years and older in China using the China Health and Retirement Longitudinal Study(CHARLS) database.
View Article and Find Full Text PDFJ Inflamm Res
March 2025
The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Suzhou, Jiangsu, People's Republic of China.
Objective: Uric acid (UA) to high-density lipoprotein cholesterol (HDL-C) ratio (UHR) has been recognized as a novel biomarker for evaluating inflammatory and anti-inflammatory interaction. However, it is not known whether UHR is related to abdominal aortic aneurysm (AAA). The current research aims to explore the potential role of UHR in predicting AAA.
View Article and Find Full Text PDFJ Affect Disord
March 2025
Department of Nursing, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan 250000, China. Electronic address:
Background: Depression is associated with inflammation, and the uric acid to HDL-C cholesterol ratio (UHR) has emerged as a potential marker of increased inflammation; however, the association between UHR and depression is unclear. Therefore, we aimed to explore this association in a sample from the general US population.
Methods: We conducted a cross-sectional study of 11,444 participants ≥20 years of age from the 2009-2014 NHANES database.
BMC Nephrol
March 2025
The First Affiliated Hospital of Xinjiang Medical University, Xinjiang, China.
Objective: Some studies have shown that uric acid (UA) to high-density lipoprotein (HDL-C) ratio (UHR), as an indicator of inflammation, is associated with metabolic syndrome and hypertension, but its relationship with decreased renal function is unclear. This study intends to analyze the relationship between UHR and decline in renal function.
Methods: Data were obtained from the 2011-2015 data of the China Health and Aging Tracking Survey (CHARLS) of Peking University, and 7,198 study participants were included and followed up until 2015.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!