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Association between serum uric acid levels and dyslipidemia in Chinese adults: A cross-sectional study and further meta-analysis.

ABSTRACT: This study aimed to investigate the association of serum uric acid (SUA) levels with dyslipidemia and its components and to further explore the age- and gender-specific association of SUA levels with dyslipidemia in Chinese adults.A cross-sectional study was performed among 8642 adults who underwent health examinations. A meta-analysis covering 17 studies was conducted to confirm the results.The prevalence of hyperuricemia and dyslipidemia was 9.25% and 20.44%, respectively. Participants with hyperuricemia had higher prevalence of dyslipidemia than those without hyperuricemia (34.42% vs 19.01%, P < .005). Compared with participants with SUA in the first quintile, the odds ratio (OR) (95% confidence interval) of dyslipidemia in the second, third, fourth, and fifth quintiles of SUA were 1.095 (0.901-1.332), 1.582 (1.315-1.904), 2.095 (1.752-2.505), and 3.212 (2.702-3.818), respectively. Subgroup analysis showed that SUA quintiles were significantly correlated with the likelihood of dyslipidemia in females aged > 50 years and in males, but not in females aged ≤50 years. The meta-analysis also showed that hyperuricemia increased the likelihood of dyslipidemia and the pooled OR for the highest uric acid level vs the lowest uric acid level was 1.84 (1.49-2.28).SUA levels are significantly associated with dyslipidemia, and this association is impacted by age and gender.

SUBMITTER: Chen S

PROVIDER: S-EPMC7440131 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature

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Association between serum uric acid levels and dyslipidemia in Chinese adults: A cross-sectional study and further meta-analysis.

Chen Shenghui S Yang Hua H Chen Yishu Y Wang Jinghua J Xu Lei L Miao Min M Xu Chengfu C

Medicine 20200301 11

This study aimed to investigate the association of serum uric acid (SUA) levels with dyslipidemia and its components and to further explore the age- and gender-specific association of SUA levels with dyslipidemia in Chinese adults.A cross-sectional study was performed among 8642 adults who underwent health examinations. A meta-analysis covering 17 studies was conducted to confirm the results.The prevalence of hyperuricemia and dyslipidemia was 9.25% and 20.44%, respectively. Participants with hy ...[more]

PMID: 32176036

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Project description:ObjectiveThe purposes of the study were to investigate the detailed association of serum uric acid (SUA) with visceral fat area (VFA) and body fat percentage (BFP) as calculated by bioelectrical impedance analysis (BIA) and build non-invasive diagnosis models of hyperuricaemia by combining obesity-related indicators, age and sex.MethodA total of 19 343 adults were included. Multivariable regression analysis models were employed to analyse the association of SUA with VFA and BFP. Receiver operating characteristic curves were generated to diagnose hyperuricaemia in adults.ResultsAfter fully adjusting for covariates, SUA was positively associated with VFA, BFP and body mass index (BMI) with βs of 0.447, 2.522 and 4.630 (95% CI= (0.412 to 0.482), (2.321 to 2.723) and (4.266 to 4.994)). After stratification by gender, this association persists (p<0.001). Fitted smoothing curves identified non-linear relationships between SUA and both VFA and BMI after full adjustment in males (inflection points: 93.9 cm2 and 30.9 kg/m2). A non-linear relationship also exists between SUA and BFP in females (inflection point: 34.5%). A combined model incorporating BFP, BMI, age and sex exhibited the best ability to diagnose hyperuricaemia (AUC (area under the curve) =0.805, specificity=0.602, sensitivity=0.878). For normal-weight and lean populations, individuals with hyperuricaemia tended to have higher levels of VFA and BFP in females and males, respectively (p<0.001). The combination of VFA, BFP, BMI, age and sex exhibited the best ability to diagnose hyperuricaemia in normal-weight and lean populations (AUC=0.803, specificity=0.671, sensitivity=0.836).ConclusionVFA and BFP are independent factors associated with SUA. In males, SUA shows a non-linear relationship with VFA and BMI. In females, SUA and BFP exhibit a non-linear relationship. In normal-weight and lean individuals, the accumulation of VFA and BFP may be involved in hyperuricaemia. VFA and BFP were helpful in diagnosing hyperuricaemia in adults, especially for normal-weight and lean populations.

Project description:ObjectivesWhether there is an association between serum uric acid level (sUA) and periodontitis remains unclear. The aim of this study was to investigate the association between moderate/severe periodontitis and sUA in US adults.Materials and methodsA total of 3398 participants were included in the National Health and Nutrition Examination Survey (NHANES) from 2009 to 2014. The independent variable was sUA and the dependent variable was periodontitis. SUA for continuous variables, periodontitis as classification variables. Covariate including social demographic variables, life style, systemic diseases, etc. Multiple linear regression models were used to investigate the distribution of differences in covariates between different independent groups. To investigate the association between serum uric acid levels and moderate/severe periodontitis, three models were used (Model 1: unadjusted model; Model 2: adjusted for age, sex, and race/ethnicity; Model 3: adjusted for age, sex, race/ethnicity, education, household income/poverty ratio, smoking behavior, alcohol consumption, dental floss frequency, obesity, hypertension, diabetes, high cholesterol, hyperlipidemia, and sleep disorders).ResultsAmong the 3398 patients, 42.5% had moderate/severe periodontitis. Multivariate logistic regression analysis showed that sUA was significantly associated with moderate/severe periodontitis (OR = 1.10, 95%CI: (1.03, 1.16), P = 0.0020) after adjusting for potential confounding factors. In addition, it may vary by race/ethnicity and gender. The association between sUA levels and the prevalence ofperiodontitis was U-shaped in women and non-Hispanic blacks.ConclusionsUA level is associated with moderate to severe periodontitis. However, the association between sUA levels and the occurrence of periodontitis in women and non-Hispanic blacks followed a U-shaped curve.Clinical relevancesUA may directly or indirectly contribute to the global burden of periodontal disease, but there is little evidence that sUA is directly related to periodontitis.This study further supports that high uric acid levels are closely related to periodontitis and may contribute to the control of periodontitis. It also provides new insights into whether it can be used as an indicator to assess the risk or progression of periodontitis. More studies are needed to confirm the relationship between sUA and periodontitis.

Project description:Despite extensive studies conducted on the relationship between serum uric acid (UA) and bone mineral density (BMD), their association remains controversial. In this study, we investigated whether UA levels are independently associated with BMD in Chinese and American populations to elucidate their association. Herein, the data of 12,344 individuals (age > 20 years) from the National Health and Nutrition Examination Survey (2005-2018) and those of 768 individuals from the inpatient medical records and physical examination center systems of the Tertiary Class A Hospital (2021-2023) from China were included. The association between UA and BMD was analyzed by employing multivariate regression models with covariate adjustments. In addition, population description, stratified analysis, single-factor analysis, smooth-curve fitting, and threshold and saturation effect analyses were performed. After covariate adjustments, UA exhibited an association with BMD of the femur (β = 0.008, 95% confidence interval [CI] 0.001-0.015, P = 0.02), femoral neck (β = 0.011, 95% CI 0.004-0.018, P = 0.002), and lumbar spine (β = 0.014, 95% CI 0.06-0.022, P < 0.001) in American subjects. Similarly, UA exhibited association with BMD of the femur (β = 0.079, 95% CI 0.042-0.117, P < 0.001), femoral neck (β = 0.171, 95% CI 0.121-0.22, P < 0.001), and lumbar spine (β = 0.052, 95% CI 0.007-0.097, P = 0.024) in Chinese subjects. Notably, the relationship between UA levels and BMD was nonlinear. The saturated utility values for determining the UA level with BMD of the femur and femoral neck using a two-stage linear regression model were 429.9 and 468 μmol/L, respectively, in the Chinese population. In the American population, the saturated utility values of UA level with BMD of the femur, femoral neck, and lumbar spine were 410.4, 410.4, and 452 μmol/L, respectively. Altogether, the present findings suggested a positive association between the UA levels and overall BMD in adults, implying that maintaining saturated UA levels can facilitate osteoporosis prevention.China Clinical Trials Registry: MR-51-23-051741. https://www.medicalresearch.org.cn/search/research/researchViewid=c0e5f868-eca9-4c68-af58-d73460c34028 .

Project description: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 1.053; 95% CI 1.028-1.079), triglycerides (OR 1.017; 95% CI 1.009-1.026) and HDL-C (OR 0.804; 95% CI 0.729-0.887), retained significant correlation with hyperuricemia. CONCLUSION:Our study demonstrated that the dyslipidemia components of serum total cholesterol, triglycerides and LDL-C levels are positively associated with serum uric acid levels, whereas serum HDL-C levels are inversely related. Further complementary studies regarding other lipid parameters are needed to confirm the accurate association between dyslipidemia and serum uric acid levels.

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Association between serum uric acid levels and dyslipidemia in Chinese adults: A cross-sectional study and further meta-analysis.

Publications

Association between serum uric acid levels and dyslipidemia in Chinese adults: A cross-sectional study and further meta-analysis.

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