ArticleBMC cardiovascular disorders2023
Uric acid and evaluate the coronary vascular stenosis gensini score correlation research and in gender differences.
Article in BMC cardiovascular disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.
- The Causal Relationship between Angina Pectoris and Gout Based on Two Sample Mendelian Randomization.Pain research & management · 2024Pooled it
- Serum uric acid-to-creatinine ratio as a predictor for the severity of coronary artery lesions.BMC research notes · 2026Article
- Correlation Between Apolipoprotein B and Severity of Coronary Artery Stenosis in Individuals Aged 45 and Above: A Cross-Sectional Study.Cardiovascular therapeutics · 2026Article
- Correlation of neutrophil/lymphocyte, monocyte/lymphocyte, and CRP/ALB ratios with the extent of coronary artery lesions and their predictive value.Frontiers in cardiovascular medicine · 2026Article
- Gender differences in patients presenting with premature coronary artery disease.Journal of family medicine and primary care · 2025Article
- Correlation Analysis of Gut Microbiota Derivatives with Coronary Artery Disease Severity and Prognosis.Reviews in cardiovascular medicine · 2025Article
- New Insights into Uric Acid Metabolism in the Pathophysiology of Ischaemic Heart Disease.European cardiology · 2025Review
- Diagnostic Value and Regulatory Mechanism of miR-322-5p in Coronary Heart Disease.Journal of inflammation research · 2025Article
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND AND
aimsRecent studies have shown that the negative effect of uric acid (UA) on coronary arteries determines the severity of atherosclerotic disease. This study aims to explore the relationship between serum UA level and Gensini score, which reflects the severity of coronary artery disease.
methodsA total of 860 patients with suspected coronary heart disease who were admitted to hospital due to angina pectoris or myocardial ischemia related symptoms and received coronary angiography were selected. Based on the findings of the angiography, they were categorized into two groups: the coronary heart disease (CHD) group (n = 625) and the control group (n = 235). The uric acid levels and other clinical data were compared between these groups. Additionally, the prevalence of coronary heart disease and Gensini score were compared between the groups, considering gender-specific quartiles of uric acid levels. The clinical baseline data were analyzed using appropriate statistical methods, and multivariate logistic regression analysis was conducted to identify independent risk factors for coronary heart disease.
resultsOf 860 patients (mean age, 63.97 ± 11.87 years), 528 were men (mean age, 62.06 ± 11.5 years) and 332 were women (mean age, 66.99 ± 10.11 years). The proportion of smoking, diabetes, hypertension, and hyperlipidemia in the coronary heart disease group was higher than that in the control group (P < 0.05). HbA1C, Gensini score, BMI, TG and hsCRP in the coronary heart disease group were higher than those in the control group (P < 0.05), and HDL-C was lower than that in the control group (P < 0.05). There were no significant differences in age, heart rate, Cr, TC and LDL-C between the two groups (P > 0.05).Multivariate logistic regression analysis showed that age, hypertension, hsCRP and SUA levels increased the risk of coronary heart disease, and the difference was statistically significant(OR = 1.034,95%CI 1.016-1.052, P = 0.001; OR = 1.469,95%CI 1.007-2.142, P = 0.046;OR = 1.064,95%CI 1.026-1.105, P = 0.001; OR = 1.011,95%CI 1.008-1.014, P < 0.001).
conclusionSerum uric acid is positively correlated with Gensini score in patients with coronary heart disease, which is an independent factor for evaluating the degree of coronary artery stenosis and has a predictive effect.
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