Diagnostic value of uric acid to high-density lipoprotein cholesterol ratio in abdominal aortic aneurysms

Area of Science:

• Cardiovascular Medicine
• Biochemistry
• Medical Diagnostics

Background:

• Abdominal aortic aneurysm (AAA) and acute aortic diseases (AAD) are life-threatening conditions.
• Dyslipidaemia and hyperuricaemia are established risk factors for AAA, AAD, and related mortality.
• Identifying reliable predictors for AAA and AAD is crucial for early detection and management.

Purpose of the Study:

• To investigate the uric acid to high-density lipoprotein cholesterol ratio (UHR) as a potential independent predictor for AAA and AAD.
• To determine the optimal cut-off point for UHR in predicting AAA.

Main Methods:

• A cohort study involving 300 subjects: 100 with AAA, 100 with AAD, and 100 controls.
• Serum samples were collected pre-treatment to measure UHR and other biomarkers.
• Receiver operating characteristic (ROC) curve analysis was employed to determine optimal UHR cut-off points.

Main Results:

• The UHR was significantly elevated in the AAA group compared to the control group.
• No significant difference in UHR was observed between the AAD and control groups.
• An optimal UHR cut-off of 7.78 demonstrated high sensitivity (84.7%) and specificity (62.4%) for AAA detection (AUC 0.811).
• UHR was identified as an independent predictor for AAA after adjusting for traditional risk factors (OR: 1.122, 95% CI: 1.064-1.184).

Conclusions:

• The UHR serves as a valuable auxiliary tool for screening abdominal aortic aneurysm (AAA).
• The study established an optimal UHR cut-off point for AAA screening in the Chinese population.
• Further research may validate UHR as a routine clinical biomarker for cardiovascular risk assessment.