Uric Acid as a Risk Factor for Cardiovascular Disease. A Prospective Observational Study

Kallistratos, Manolis S.; Giannitsi, S.; Poulimenos, Leonidas; Miaris, Nikolaos; Koukouzeli, A.; Khashlok, L.A.; Kouremenos, N.; Tsinivizov, Pavlos; Kontogiannis, Nestoras; Chamodraka, E.; Athanasiou, Dimitris; Kalogeris, A; Pittaras, Andreas; Manolis, Athanasios

doi:10.1097/01.hjh.0000539359.83742.00

Cited by 2 publications

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“…Hyperuricemia is now considered to be an important risk factor for hypertension, metabolic syndrome, chronic kidney disease and cardiovascular disease [20]. Serum uric acid, previously known to have a beneficial effect as an oxygen radical scavenger [21], is now recognized to carry a vital role as the modulator of glucose and lipid metabolism [22], leading to observations that the breach of serum uric acid homeostasis may be associated with cardiovascular risk and all-cause mortality [22][23][24]. Current studies demonstrate the possibility of serum uric acid level as a predictor of incident metabolic syndrome [25] and, when combined with LDL-C, of incident hypertension [26].…”

Section: Discussionmentioning

confidence: 99%

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Association between dyslipidemia and serum uric acid levels in Korean adults: Korea National Health and Nutrition Examination Survey 2016-2017

2020

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Objectives Despite the growing pieces of evidence linking hyperuricemia with metabolic syndrome and cardiovascular disease, the relationship between dyslipidemia and serum uric acid has not yet been established. This study aimed to investigate the association between individual components of dyslipidemia and serum uric acid by using the nationally representative Korea National Health and Nutrition Examination Survey 2016-2017. Methods A total of 8,722 participants (age � 19 years) without missing values were analyzed for this study. Serum uric acid levels according to the presence of individual dyslipidemia components were calculated using multivariable-adjusted general linear models (GLM). Odds ratios of individual dyslipidemia components to hyperuricemia were calculated using unadjusted and multivariable-adjusted logistic regression analysis. Results A total of 1,061 participants were identified as having hyperuricemia, with a prevalence of 12.2%. Multivariable-adjusted GLM demonstrated a significant trend between individual dyslipidemia components and serum uric acid levels (P < 0.05). A positive association between the numbers of dyslipidemia components and the increments of serum uric acid levels was also observed (P < 0.001). In multivariable-adjusted logistic regression analysis, odds ratios (OR) and 95% confidence interval (CI) of all dyslipidemia components to hyperuricemia were shown to be statistically significant (P < 0.05). When further adjusted for the combined components themselves, each 10 mg/dL increments of total cholesterol (OR

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Section: Discussionmentioning

confidence: 99%

“…However, the independent role of serum uric acid as a novel risk factor and a target for treatment regardless of the clinical history of gout has been a subject of debate. Despite growing pieces of evidence, consensus on whether the treatment of asymptomatic hyperuricemia would be beneficial or not is yet to be established [22,23,27,28].…”

Section: Discussionmentioning

confidence: 99%

Association between dyslipidemia and serum uric acid levels in Korean adults: Korea National Health and Nutrition Examination Survey 2016-2017

2020

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“…Thus, the residual components of MetSy that excluding obesity were clustered as non-adipose cardio-metabolic risk factors will be more suitable for investigating the progress of cardiovascular disease or other adverse traits [ 4 , 20 ]. Moreover, serum uric acid (SUA) is the end product of nucleic acid purine metabolism in body [ 21 – 24 ]. Previous studies revealed that an alteration of SUA level was associated with abnormal glucose and hyperuricemia, and it was considered to be a risk factor for MetSy or metabolic disorders [ 25 – 27 ].…”

Section: Introductionmentioning

confidence: 99%

Body roundness index is a superior indicator to associate with the cardio‐metabolic risk: evidence from a cross‐sectional study with 17,000 Eastern-China adults

Zhang

et al. 2021

BMC Cardiovasc Disord

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Background To investigate the ability of body shape index (ABSI), body roundness index (BRI), waist circumference (WC), body mass index (BMI), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), and body adiposity index (BAI) for predicting non-adipose cardio-metabolic risk. Methods A total of 17,360 Chinese subjects aged 18–95 years old who escaped cardiovascular disease (CVD) or diabetes were recruited in the cross-sectional study. Anthropometric and biochemical parameters were assessed. Receiver operating characteristic curve (ROC) and multinomial logistic regression were conducted to examine the association of anthropometric indicators with cardio-metabolic risk factors. Results The mean age of subjects were 53.7(13.1) years, 41.6 % were males. The areas under the curve (AUC) demonstrated that WC, BMI, WHR, WHtR and BRI were able to predict high cardio-metabolic risk (AUC > 0.70). Meanwhile, multinomial logistic regression showed BRI was significantly associated with high cardio-metabolic risk (OR 3.27, 95% CI 3.01–3.55). The optimal cut-off values of BRI for high cardio-metabolic risk were (< 60 y: 3.49 vs. ≥60 y: 3.46) in males and (< 60 y: 3.47 vs. ≥60 y: 3.60) in females. Conclusions WC, BMI WHR, and WHtR were potential obesity indicators in discriminating high cardio-metabolic risk, while BAI or ABSI was not. Moreover, BRI revealed superior predictive capacity and significant association with accumulated cardio-metabolic risk factors.

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Uric Acid as a Risk Factor for Cardiovascular Disease. A Prospective Observational Study

Cited by 2 publications

References 0 publications

Association between dyslipidemia and serum uric acid levels in Korean adults: Korea National Health and Nutrition Examination Survey 2016-2017

Association between dyslipidemia and serum uric acid levels in Korean adults: Korea National Health and Nutrition Examination Survey 2016-2017

Body roundness index is a superior indicator to associate with the cardio‐metabolic risk: evidence from a cross‐sectional study with 17,000 Eastern-China adults

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