Association Between Serum Uric Acid Levels and Neoatherosclerosis

Gu, Ning; Liu, Zhijiang; Wang, Zhenglong; Shen, Changyin; Zhang, Wei; Tian, Hongqin; Wang, Xi; Yang, Shuangya; Zhao, Ranzun; Shi, Bei

doi:10.1536/ihj.23-058

Cited by 2 publications

(1 citation statement)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Whereas, our results showed higher percentage of males in CAS group, which may be due to the uneven gender distribution in the total population of our medical examination, where males were significantly more than females. In addition to this, renaldysfuncyion, hyperuricaemia, fatty liver, dyslipidaemia, hypertension, diabetes, osteoporosis and history of smoking and alcohol consumption were all strongly associated with atherosclerosis [28][29][30][31][32][33][34].…”

Section: Plos Onementioning

confidence: 87%

Correlation between novel inflammatory markers and carotid atherosclerosis: A retrospective case-control study

Liao,

Liu,

Bai

et al. 2024

PLoS ONE

View full text Add to dashboard Cite

Objective Carotid atherosclerosis is a chronic inflammatory disease, which is a major cause of ischemic stroke. The purpose of this study was to analyze the relationship between carotid atherosclerosis and novel inflammatory markers, including platelet to lymphocyte ratio (PLR), neutrophil to lymphocyte ratio (NLR), lymphocyte to monocyte ratio (LMR), platelet to neutrophil ratio (PNR), neutrophil to lymphocyte platelet ratio (NLPR), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), and aggregate index of systemic inflammation (AISI), in order to find the best inflammatory predictor of carotid atherosclerosis. Method We included 10015 patients who underwent routine physical examinations at the physical examination center of our hospital from January 2016 to December 2019, among whom 1910 were diagnosed with carotid atherosclerosis. The relationship between novel inflammatory markers and carotid atherosclerosis was analyzed by logistic regression, and the effectiveness of each factor in predicting carotid atherosclerosis was evaluated by receiver operating characteristic (ROC) curve and area under the curve (AUC). Result The level of PLR, LMR and PNR in the carotid atherosclerosis group were lower than those in the non-carotid atherosclerosis group, while NLR, NLPR, SII, SIRI and AISI in the carotid atherosclerosis group were significantly higher than those in the non-carotid atherosclerosis group. Logistic regression analysis showed that PLR, NLR, LMR, PNR, NLPR, SII, SIRI, AISI were all correlated with carotid atherosclerosis. The AUC value of NLPR was the highest, which was 0.67, the cut-off value was 0.78, the sensitivity was 65.8%, and the specificity was 57.3%. The prevalence rate of carotid atherosclerosis was 12.4% below the cut-off, 26.6% higher than the cut-off, and the prevalence rate increased by 114.5%. Conclusion New inflammatory markers were significantly correlated with carotid atherosclerosis, among which NLPR was the optimum inflammatory marker to predict the risk of carotid atherosclerosis.

show abstract

Section: Plos Onementioning

confidence: 87%

Correlation between novel inflammatory markers and carotid atherosclerosis: A retrospective case-control study

Liao,

Liu,

Bai

et al. 2024

PLoS ONE

View full text Add to dashboard Cite

show abstract

Association of hyperuricemia with coronary heart disease: Protocol for an updated systematic review and dose-response meta-analysis

Chen,

Pan,

Gao

et al. 2024

PLoS ONE

View full text Add to dashboard Cite

Introduction Hyperuricemia, characterized by elevated serum uric acid levels, has garnered significant attention in cardiovascular research due to its potential association with coronary heart disease (CHD). While some studies suggest hyperuricemia as a risk factor of CHD, others present conflicting findings. A systematic review and dose-response meta-analysis is warranted to comprehensively summarize the previous studies and determine the association between hyperuricemia and CHD, thereby supporting clinical practice and future studies in this field. Methods In this study, we will comprehensively search Medline, EMBase, Cochrane Central, ICTRP, and ClinicalTrials.gov, from inception to December 31, 2024. Prospective or retrospective cohort studies and case-control studies investigating the association between hyperuricemia and CHD will be included. Two independent reviewers will conduct study selection, data extraction, and risk of bias assessment. The primary outcome will be the pooled relative risk of CHD associated with hyperuricemia by using random-effect model. Dose-response meta-analysis will be performed with linear and non-linear model to explore the the magnitude and direction of the association between serum uric acid levels and CHD risk. Subgroup analyses will be conducted based on uric acid test approaches and corresponding cut-off values and human races. Sensitivity analyses will assess the robustness of the results with leave-one-out method, while publication bias will be evaluated using funnel plots, Egger’s test, and Begg’s test. We will further use GRADE to evaluate the quality of the evidences provided by our systematic review. Expected results From this systematic review and dose-response meta-analysis, we hope out findings will provide reliable conclusion and data support on the association between hyperuricemia and CHD. The transparent and replicable methodologies outlined in this protocol contribute to advancing understanding of hyperuricemia as a potentially modifiable risk factor for CHD, thus supporting evidence-based strategies for cardiovascular disease management. Conclusions This protocol describes a rigorous plan to systematically review and analyze the quantitative association between hyperuricemia and CHD risk. In a word, we will help further clinical practice and scientific studies in this field. Trial registration This protocol was registered in PROSPERO CRD42024538553.

show abstract

Association Between Serum Uric Acid Levels and Neoatherosclerosis

Cited by 2 publications

References 28 publications

Correlation between novel inflammatory markers and carotid atherosclerosis: A retrospective case-control study

Correlation between novel inflammatory markers and carotid atherosclerosis: A retrospective case-control study

Association of hyperuricemia with coronary heart disease: Protocol for an updated systematic review and dose-response meta-analysis

Contact Info

Product

Resources

About