Prevalence of hyperuricemia and the population attributable fraction of modifiable risk factors: Evidence from a general population cohort in China

Unveiling the therapeutic benefits of black chokeberry (Aronia melanocarpa) in alleviating hyperuricemia in mice

Background

Hyperuricemia not only increases the risk of cardiovascular diseases such as dyslipidemia, hypertension, coronary artery disease, obesity, metabolic syndrome, and type-2 diabetes, but also severely impacts kidney function, potentially leading to acute kidney injury and chronic kidney disease.

Methods

This study aims to investigate the health benefits of black chokeberry (Aronia melanocarpa) on hyperuricemic mice induced by oxonic acid.

Result

The experimental results showed that black chokeberry had no significant toxic or negative effects in mice. The measurement of uric acid (UA) indicated that black chokeberry suppressed the UA levels. Additionally, the xanthine oxidase activity in the high-dose group was significantly decreased, along with reductions in serum urea nitrogen and creatinine levels. Black chokeberry effectively increased the glutathione levels in hyperuricemic mice and reduced malondialdehyde levels, as well as significantly inhibiting adenosine deaminase activity.

Conclusion

Its efficacy is comparable to that of the marketed drug allopurinol, underscoring the potential of black chokeberry as a functional product for uric acid reduction.

Genetic risk, lifestyle adherence, and risk of developing hyperuricaemia in a Japanese population

OBJECTIVE

The objective of this study was to investigate the inter-relationships among genetic risk, adherence to a healthy lifestyle, and susceptibility to hyperuricaemia.

METHODS

This prospective cohort study was conducted with 7241 hyperuricaemia-free individuals aged ≥20 years from the Tohoku Medical Megabank Community-based cohort study. A comprehensive lifestyle score included assessment of BMI, smoking, drinking, and physical activity, and a polygenic risk score (PRS) was constructed based on uric acid loci from a previous genome-wide association study meta-analysis. A multiple logistic regression model was used to estimate the association between genetic risk, adherence to a healthy lifestyle, and hyperuricaemia incidence and to calculate the area under the receiver operating characteristic curve (AUROC). Hyperuricaemia was defined as a uric acid level of ≥7.0 mg/dL or a self-reported history of hyperuricaemia.

RESULTS

Of the 7241 adults [80.7% females; mean (±s.d.) age: 57.7 (12.6) years], 217 (3.0%) developed hyperuricaemia during 3.5 years of follow-up period. Genetic risk was correlated with hyperuricaemia development (P for interaction = 0.287), and lifestyle risks were independently associated. Participants with a high genetic risk and poor lifestyle had the highest risk (odds ratio: 5.34; 95% CI: 2.61-12.10). Although not statistically significant, adding the PRS in the model with lifestyle information improved predictive ability (AUROC = 0.771, 95% CI: 0.736-0.806 for lifestyle; AUROC = 0.785, 95% CI: 0.751-0.819 for lifestyle and PRS; P= 0.07).

CONCLUSION

A healthy lifestyle to prevent hyperuricaemia, irrespective of genetic risk, may mitigate the genetic risk. Genetic risk may complement lifestyle factors in identifying individuals at a heightened hyperuricaemia risk.

Uric Acid-Degrading Lacticaseibacillus paracasei CPU202306 Ameliorates Hyperuricemia by Regulating Uric Acid Metabolism and Intestinal Microecology in Mice

Hyperuricemia, characterized by elevated levels of uric acid in the blood, poses a significant health threat due to its association with various adverse health outcomes, and lactic acid bacteria from the gut microbiota may offer solutions. Our investigation focused on Lacticaseibacillus paracasei CPU202306, isolated from fermented pickles for its potent uric acid degradation and probiotic properties. This bacterium effectively reduced blood uric acid levels by breaking down uric acid and inhibiting hepatic xanthine oxidase (XOD) and adenosine deaminase (ADA) enzymes. Additionally, it stimulated the production of short-chain fatty acid (SCFAs) in the colon, enhancing the expression of uric acid secretion transport proteins (ATP-binding cassette sub-family G member 2 and organic anion transporter 3) while suppressing absorption transport proteins (glucose transporter 9 and uric acid transporter 1). This orchestrated process promoted uric acid excretion. L. paracasei CPU202306 also improved gut microbiota health by reinforcing tight junction proteins, shifting the microbiota to a healthier composition, and reducing harmful bacteria. This transformation inhibited kidney TLR4/MyD88/NF-κB inflammatory signaling, leading to a significant decrease in pro-inflammatory cytokines and an increase in anti-inflammatory cytokines, mitigating kidney inflammation. Furthermore, the bacterium supported kidney health by influencing amino acid metabolic pathways linked to the gut-kidney axis. In summary, our study highlights the diverse mechanisms through which L. paracasei CPU202306 addresses hyperuricemia, showcasing its therapeutic potential for this condition.

Association between dietary coenzyme Q10 intake and hyperuricemia in Chinese adults: a nationwide cross-sectional study

BACKGROUND

The association of food-sourced Coenzyme Q10(CoQ10) intake with hyperuricemia (HUA) remains unclear. We aimed to investigate the association between dietary CoQ10 intake and HUA among Chinese adults.

METHODS

A total of 7953 Chinese adults from the 2009 China Health and Nutrition Survey (CHNS) were included in the present cross-sectional. Dietary CoQ10 was assessed by 3 consecutive 24-h dietary recall interviews combined with a household food inventory. Multivariable logistic regression models and restricted cubic spline models were used to explore the associations between dietary CoQ10 and HUA.

RESULTS

In an adjusted logistic regression model, the multivariable odds ratio (OR) and 95% confidence interval (CI) for HUA in the highest versus the lowest quartile of total, animal-based, and plant-based CoQ10 intake were 1.40 (95% CI: 1.15 to 1.70), 1.46 (95% CI: 1.20 to 1.78), and 0.80 (95% CI: 0.65 to 0.97), respectively. Dose-response analyses revealed similar linear patterns, with the exception of plant-derived CoQ10, which did not reach statistical significance (p for nonlinearity = 0.09). In stratified analysis, there were no significant interactions between sex, age, BMI, smoking status, drinking status and total dietary CoQ10 intake in relation to the HUA (All p for interaction > 0.05).

CONCLUSIONS

Our study documented a novel positive association between total dietary CoQ10 intake and HUA, with similar trends for animal-derived CoQ10 and an inverse trend for plant-derived CoQ10.

Linear and non-linear relationships between red blood cell indices and cardiovascular risk factors: findings from the China National Health Survey

INTRODUCTION

Cardiovascular diseases (CVDs) are a leading cause of mortality worldwide. Red blood cell indices (RBIs) are associated with CVD risk factors (CRFs) and easy to test, making them useful as a screening tool for early identification of individuals at high risk for CVDs.

METHODS

Data from 31,781 participants in the China National Health Survey conducted from 2012 to 2017 were analyzed. Linear and non-linear relationships between RBIs and CRFs (hyperuricemia, diabetes, dyslipidemia) were assessed using restricted cubic splines. Propensity score weighting was used to balance confounders between RBI groups in the multivariable logistic regression models.

RESULTS

Hemoglobin concentration, red blood cell count and hematocrit all showed a significant linear dose-response association with all CRFs (p values < 0.001). Higher RBIs levels were associated with increased risk of hyperuricemia, diabetes, high LDL, high triglycerides, and high total cholesterol, but decreased HDL. For example, compared to the lowest quantile of HGB, the highest quantile had a 26% (13-40%) higher risk for hyperuricemia, a 43% (25-63%) higher risk of diabetes, 87% (61%-1.18 fold) higher risk of high LDL, and 68% (52-85%) higher risk of high triglycerides. Non-linear relationships were revealed between RBIs and most CRFs except uric acid and glucose. Sex differences were observed, with stronger associations between RBIs and hyperuricemia in women but stronger links with high LDL in men.

CONCLUSIONS

Elevated RBIs indicated higher risk of multiple CRFs. These findings suggest incorporating RBIs into CVD screening strategies to facilitate early prevention efforts, with consideration of sex differences.

Gut microbiota participates and remodels host metabolism: From treating patients to treating their gut flora

In this editorial, we comment on Liu et al's article published in the recent issue of the World Journal of Gastroenterology. Biochemically and pathologically, Liu et al proved that the urate-lowering activity of leech total protein (LTP) was mainly attributed to the rectification of gut microbiota. Specifically, we noticed the change in Bacteroides and Akkermansia after LTP administration. Both bacteria have been reported to alleviate metabolic dysfunction-associated steatohepatitis and other chronic metabolic diseases. LTP was administrated through intragastric manners. Most possibly, LTP would be digested by the gut microbiota further. The anti-hyperuricemia effects should, to the most possible extent, be exerted by the peptides or their secondary metabolic products. Human gut microbiota communicates with other organs through metabolites generated by the microbes or co-metabolized with the host. Whether the anti-hyperuricemia effect could be partially ascribed to the microbiota metabolites also deserves to be discussed. Although metabolomics analysis was performed for serum samples, fecal metabolomics was highly advocated which could facilitate exact mechanism explanation. This study implied that gut microbiota contains many unexplored targets with different therapeutic potentials. It is foreseeable that utilizing these targets can avoid the impairment or side effects of directly using human targets to some extent.

Triglyceride-glucose index and its additive interaction with ABCG2/SLC2A9 polygenic risk score on hyperuricemia in middle age and older adults: findings from the DLCC and BHMC study

OBJECTIVE

We aim to investigate the joint effect of triglyceride-glucose (TyG) index and polygenic risk scores (PRS) of urate transporter genes ABCG2 and SLC2A9 on hyperuricemia.

METHODS

Baseline data from two prospective population-based cohort studies, including 30,453 individuals aged 50 years or older, were used to analyze the association between TyG index and hyperuricemia. A case-control study was then designed from the cohorts to investigate the interaction between genetic predisposition and TyG index on hyperuricemia among 595 matched pairs. PRS was constructed using 14 single nucleotide polymorphisms located in the ABCG2 and SLCA29 genes.

RESULTS

In both sexes, higher TyG index levels were correlated with elevated serum urate (SUA) levels (p values in both sexes < 0.001). In men, per unit increase of TyG was associated with a 1.44-fold (95% confidence interval [CI]: 1.35-1.55) higher risk of hyperuricemia after adjusted for covariates. In women, this estimate was 1.69 (1.51-1.89). Demonstrated by the restrict cubic spline model, TyG index was both linearly and non-linearly associated with elevated SUA (both p values < 0.001). Association between TyG index and hyperuricemia was stronger among people with higher genetic risk, and vice versa. Compared to people with TyG < 9 and PRS < 2, the odds ratios (ORs) (95% CIs) for hyperuricemia in the TyG <9 but PRS ≥2, TyG ≥9 but PRS < 2, TyG ≥9 and PRS ≥2 groups were 3.30 (1.53-7.14), 3.16 (1.23-8.11) and 7.55 (2.76-20.65), respectively. Additive interaction was also significant, with 57.5% (30.5%-84.4%) of the excess risk attributable to the additive gene-TyG index interaction.

CONCLUSIONS

The impact of genetic predisposition on hyperuricemia was significantly greater among individuals with a higher TyG index. Over 50% of the increased risk can be attributed to the interaction, indicating a crucial synergy between genetic factors and TyG index when estimating hyperuricemia risk.

One-Year Risk Prediction of Elevated Serum Uric Acid Levels in Older Adults: A Longitudinal Cohort Study

Objective

To develop and externally validate a nomogram to predict elevated serum uric acid (SUA) levels in older adults.

Study Design

This is a longitudinal Chinese cohort study.

Methods

A cohort of 2788 older adults was established at Huadong Hospital, followed-up for at least one year, and screened for risk factors for elevated SUA levels. A logistic regression model was built to predict elevated SUA, and its performance was validated.

Results

The risk prediction model showed good discrimination ability in both the development cohort (area under the curve (AUC) = 0.82; 95% confidence interval (CI) =0.79~0.86) and the external validation cohort (AUC=0.76; 95% CI=0.70~0.82). The model was adequately calibrated, and the predictions correlated with the observed outcome (χ 2 = 6.36, P = 0.607). Men were more prone to elevated SUA levels than women were, and a baseline SUA level ≥360 μmol/L was a common risk factor for both males and females. Proteinuria status was an additional risk factor for males, whereas a baseline estimated glomerular filtration rate (eGFR)<60 mL/min·1.73 m2 and diabetes status were additional risk factors for females.

Conclusion

The externally validated nomogram, which is predictive of elevated SUA in older adults, might aid in the detection of individual diseases, the development of preventive interventions and clinical decision-making.

Association between Body Mass Index and Serum Uric Acid: mediation analysis involving liver enzymes indicators

BACKGROUND

Numerous studies have indicated a growing prevalence of hyperuricemia. Elevated levels of serum uric acid (SUA) have been established as influential factors in conditions such as obesity, metabolic syndrome, diabetes mellitus, gout, and cardiovascular disease. Overweight and obesity are closely related to an increase in SUA. Our objective is to demonstrate the mediating role of liver enzyme in the correlation between body mass index (BMI) and SUA.

METHODS

A total of 5925 adults aged 18 to 65 were included in this cross-sectional study. Logistic regression and mediation analysis were used to investigate the relationship between BMI and hyperuricemia as well as liver enzyme levels. Standard methods were used to determine the biochemical indexes, including SUA, liver enzymes, and blood lipids in the collected samples.

RESULTS

The study revealed that the prevalence of hyperuricemia was 28.0%. Furthermore, the prevalence of overweight and obesity was as high as 48.5%, with 70.7% of this subgroup presenting with hyperuricemia. There was a positive correlation between BMI and hyperuricemia, and elevated levels of liver enzymes (ALT, AST, GGT) were associated with a higher risk of hyperuricemia. The study also observed a positive correlation between BMI and liver enzymes (ALT, AST, GGT). The study findings suggested that ALT, AST, and GGT played significant mediating roles in the relationship between BMI and SUA. Specifically, the unadjusted model revealed that ALT and GGT accounted for 22.12% and 18.13% of the mediation effects, respectively.

CONCLUSIONS

The study found that BMI is associated with hyperuricemia, where liver enzyme abnormalities may have a mediating role. It is suggested that being overweight or obese may affect liver enzyme levels, leading to increased SUA levels. Controlling weight and liver enzyme levels may help prevent and treat hyperuricemia.

Study on risk factor analysis and model prediction of hyperuricemia in different populations

Objectives

The purpose of the present study was to explore the influencing factors of hyperuricemia (HUA) in different populations in Shandong Province based on clinical biochemical indicators. A prediction model for HUA was constructed to aid in the early prevention and screening of HUA.

Methods

In total, 705 cases were collected from five hospitals, and the risk factors were analyzed by Pearson correlation analysis, binary logistic regression, and receiver operating characteristic (ROC) curve in the gender and age groups. All data were divided into a training set and test set (7:3). The training set included age, gender, total protein (TP), low-density lipoprotein cholesterol (LDL-C), and 15 other indicators. The random forest (RF) and support vector machine (SVM) methods were used to build the HUA model, and model performances were evaluated through 10-fold cross-validation to select the optimal method. Finally, features were extracted, and the ROC curve of the test set was generated.

Results

TP, LDL-C, and glucose (GLU) were risk factors for HUA, and the area under the curve (AUC) value of the SVM validation set was 0.875.

Conclusion

The SVM model based on clinical biochemical indicators has good predictive ability for HUA, thus providing a reference for the diagnosis of HUA and the development of an HUA prediction model.

Ensemble machine learning prediction of hyperuricemia based on a prospective health checkup population

Objectives: An accurate prediction model for hyperuricemia (HUA) in adults remain unavailable. This study aimed to develop a stacking ensemble prediction model for HUA to identify high-risk groups and explore risk factors. Methods: A prospective health checkup cohort of 40899 subjects was examined and randomly divided into the training and validation sets with the ratio of 7:3. LASSO regression was employed to screen out important features and then the ROSE sampling was used to handle the imbalanced classes. An ensemble model using stacking strategy was constructed based on three individual models, including support vector machine, decision tree C5.0, and eXtreme gradient boosting. Model validations were conducted using the area under the receiver operating characteristic curve (AUC) and the calibration curve, as well as metrics including accuracy, sensitivity, specificity, positive predictive value, negative predictive value, and F1 score. A model agnostic instance level variable attributions technique (iBreakdown) was used to illustrate the black-box nature of our ensemble model, and to identify contributing risk factors. Results: Fifteen important features were screened out of 23 clinical variables. Our stacking ensemble model with an AUC of 0.854, outperformed the other three models, support vector machine, decision tree C5.0, and eXtreme gradient boosting with AUCs of 0.848, 0.851 and 0.849 respectively. Calibration accuracy as well as other metrics including accuracy, specificity, negative predictive value, and F1 score were also proved our ensemble model's superiority. The contributing risk factors were estimated using six randomly selected subjects, which showed that being female and relatively younger, together with having higher baseline uric acid, body mass index, γ-glutamyl transpeptidase, total protein, triglycerides, creatinine, and fasting blood glucose can increase the risk of HUA. To further validate our model's applicability in the health checkup population, we used another cohort of 8559 subjects that also showed our ensemble prediction model had favorable performances with an AUC of 0.846. Conclusion: In this study, the stacking ensemble prediction model for HUA was developed, and it outperformed three individual models that compose it (support vector machine, decision tree C5.0, and eXtreme gradient boosting). The contributing risk factors were identified with insightful ideas.

Insulin resistance, combined with health-related lifestyles, psychological traits and adverse cardiometabolic profiles, is associated with cardiovascular diseases: findings from the BHMC study

The triglyceride glucose (TyG) index is a reliable marker of insulin resistance; however, its combined impact with modifiable lifestyle risk factors and psychological traits on cardiovascular diseases (CVDs) remains unclear. The aim of this study was to explore the relationship between the TyG index, various behavioral factors, psychological traits, and CVDs. A total of 77 752 adults aged 18 and over from the baseline survey of the Beijing Health Management Cohort study were investigated. Associations of the TyG index, body roundness index (BRI), dietary habits, psychological traits, and sleep habits with CVDs were estimated using multivariable logistic regression models. Compared to the Q1 level, the Q4 level of the TyG index had an odds ratio (OR) and 95% confidence interval (CI) of 2.30 (1.98-2.68) for CVD risk in men and 2.12 (1.81-2.48) in women. Compared to a sleep duration of more than 7 hours, a sleep duration less than 5 hours had a 32% (8%-61%) higher risk in men and 22% (1%-48%) in women. The ORs (95% CIs) for fast eating compared to normal speed were 1.47 (1.23-1.76) in men and 1.17 (1.05-1.29) in women. Compared to individuals with a passive and depressed psychological trait, those who were positive and optimistic had a 47% (36%-56%) decreased risk in men and 43% (31%-53%) in women. In the age-stratified analysis, a higher BRI level showed a sex-differential effect on CVDs, which is potentially related to a lower risk of CVDs in elderly men. A high level of the TyG index combined with unhealthy lifestyle factors indicates a higher risk of CVDs, while maintaining a positive and optimistic psychological trait acts as a protective factor. These findings may be valuable for identifying high-risk populations for CVDs in community settings.

Piperine Improves Hyperuricemic Nephropathy by Inhibiting URAT1/GLUT9 and the AKT-mTOR Pathway

Uncontrolled hyperuricemia often leads to the development of hyperuricemic nephropathy (HN), characterized by excessive inflammation and oxidative stress. Piperine, a cinnamic acid alkaloid, possesses various pharmacological activities, such as antioxidant and anti-inflammatory effects. In this study, we intended to investigate the protective effects of piperine on adenine and potassium oxonate-induced HN mice and a uric-acid-induced injury model in renal tubular epithelial cells (mRTECs). We observed that treatment with piperine for 3 weeks significantly reduced serum uric acid levels and reversed kidney function impairment in mice with HN. Piperine (5 μM) alleviated uric acid-induced damage in mRTECs. Moreover, piperine inhibited transporter expression and dose-dependently inhibited the activity of both transporters. The results revealed that piperine regulated the AKT/mTOR signaling pathway both in vivo and in vitro. Overall, piperine inhibits URAT1/GLUT9 and ameliorates HN by inhibiting the AKT/mTOR pathway, making it a promising candidate for patients with HN.

Associations of Bisphenols Exposure and Hyperuricemia Based on Human Investigation and Animal Experiments

Hyperuricemia is characterized by elevated blood uric acid (UA) levels, which can lead to certain diseases. Epidemiological studies have explored the association between environmental contaminant exposure and hyperuricemia. However, few studies have investigated the role of chemical exposure in the development of hyperuricemia. Here, we sought to investigate the effects of bisphenol exposure on the occurrence of hyperuricemia. Fifteen bisphenol chemicals (BPs) were detected in human serum and urine samples collected from an area with a high incidence of hyperuricemia in China. Serum UA levels positively correlated with urinary bisphenol S (BPS), urinary bisphenol P (BPP), and serum bisphenol F (BPF). The effects of these three chemicals on UA levels in mice were explored at various exposure concentrations. An increase in serum UA levels was observed in BPS- and BPP-exposed mice. The results showed that BPS exposure increased serum UA levels by damaging the structure of the kidneys, whereas BPP exposure increased serum UA levels by disturbing purine metabolism in the liver. Moreover, BPF did not induce an increase in serum UA levels owing to the inhibition of guanine conversion to UA. In summary, we provide evidence of the mechanisms whereby exposure to three BPs disturbs UA homeostasis. These findings provide new insights into the risks of exposure to bisphenol chemicals.

Lactobacillus rhamnosus GG ameliorates hyperuricemia in a novel model

Hyperuricemia (HUA) is a metabolic syndrome caused by abnormal purine metabolism. Although recent studies have noted a relationship between the gut microbiota and gout, whether the microbiota could ameliorate HUA-associated systemic purine metabolism remains unclear. In this study, we constructed a novel model of HUA in geese and investigated the mechanism by which Lactobacillus rhamnosus GG (LGG) could have beneficial effects on HUA. The administration of antibiotics and fecal microbiota transplantation (FMT) experiments were used in this HUA goose model. The effects of LGG and its metabolites on HUA were evaluated in vivo and in vitro. Heterogeneous expression and gene knockout of LGG revealed the mechanism of LGG. Multi-omics analysis revealed that the Lactobacillus genus is associated with changes in purine metabolism in HUA. This study showed that LGG and its metabolites could alleviate HUA through the gut-liver-kidney axis. Whole-genome analysis, heterogeneous expression, and gene knockout of LGG enzymes ABC-type multidrug transport system (ABCT), inosine-uridine nucleoside N-ribohydrolase (iunH), and xanthine permease (pbuX) demonstrated the function of nucleoside degradation in LGG. Multi-omics and a correlation analysis in HUA patients and this goose model revealed that a serum proline deficiency, as well as changes in Collinsella and Lactobacillus, may be associated with the occurrence of HUA. Our findings demonstrated the potential of a goose model of diet-induced HUA, and LGG and proline could be promising therapies for HUA.

Prevalence of Hyperuricemia and Associated Cardiovascular Risk Factors in Elite Athletes Practicing Different Sporting Disciplines: A Cross-Sectional Study

Uricemia has been identified as an independent risk factor for cardiovascular disease. In the general population, hyperuricemia is associated with hypertension, endothelial dysfunction, and other cardiovascular risk (CVR) factors. Our aim was to explore the prevalence of hyperuricemia among Olympic athletes, evaluating the influence of sporting discipline and its correlation with CVR factors. We enrolled 1173 Olympic athletes classified into four disciplines: power, skill, endurance, and mixed. Clinical, anthropometric data, and complete blood test results were collected. Hyperuricemia was present in 4.4% of athletes, 0.3% were hypertensive, 11.7% had high-normal blood pressure values, 0.2% were diabetic, 1.2%. glucose intolerance, 8.2% active smokers, and 3% were obese. Males had a higher prevalence of hyperuricemia (5.3%) than females (3.4%) with no significant differences between different sporting disciplines (male, p = 0.412; female p = 0.561). Males with fat mass >22% presented higher uricemia (5.8 ± 1 vs. 5.3 ± 1 mg/dL, p = 0.010) like hypertensive athletes (6.5 ± 0.3 vs. 5.3 ± 1 mg/dL, p = 0.031), those with high-normal blood pressure (5.13 ± 1 vs. 4.76 ± 1.1 mg/dL, p = 0.0004) and those with glucose intolerance (6 ± 0.8 vs. 5.3 ± 1 mg/dL, p = 0.066). The study provides a comprehensive evaluation of hyperuricemia among Olympic athletes, revealing a modest prevalence, lower than in the general population. However, aggregation of multiple CVR factors could synergistically elevate the risk profile, even in a population assumed to be at low risk. Therefore, uric acid levels should be monitored as part of the CVR assessment in athletes.

Associations of serum uric acid with cardiovascular disease risk factors: a retrospective cohort study in southeastern China

OBJECTIVE

To evaluate the associations between serum uric acid (SUA) levels and cardiovascular disease (CVD) risk factors, focusing on potential sex-specific differences.

DESIGN

A retrospective cohort study.

SETTING

A large community-based survey was conducted every two years from 2010 to 2018 in Hangzhou, Zhejiang Province, outheastern China.

PARTICIPANTS

6119 participants aged 40 years and above who underwent at least three times of physical examinations were enrolled.

METHODS

Participants were categorised into four groups (Q1-Q4) based on baseline SUA quartiles within the normal range, with hyperuricaemia (HUA) as the fifth group. The Q1 was the reference. By stratifying participants by gender, the relationships between SUA levels and systolic blood pressure (SBP), diastolic blood pressure (DBP), fasting blood glucose (FBG) and total cholesterol (TC) were investigated using linear regression models in the generalised estimating equation. Additionally, the associations of elevated SUA levels and HUA with hypertension, hyperglycaemia and dyslipidaemia were correspondingly examined using multivariate logistic regression models.

RESULTS

After adjusting for confounding variables, we found positive associations between SUA levels and SBP, DBP, FBG and TC in women, and with TC in men (p<0.01). Likewise, elevated SUA quartiles and HUA were linked to increased dyslipidaemia risk in both sexes, and increased hyperglycaemia risk only in women, with HRs (95% CI) of 1.64 (1.05 to 2.55) and 2.37 (1.47 to 3.81) in the Q4 and HUA group, respectively. Women with HUA had higher hypertension risk (HR=1.45, 95% CI 1.21 to 1.73), while no such association was observed in men. Stratified analyses revealed significant associations between elevated SUA levels and CVD risk factors in postmenopausal and non-obese women.

CONCLUSIONS

Elevated SUA levels increase the risk of dyslipidaemia in both sexes. SUA levels within normal range and HUA are positively associated with hyperglycaemia and hypertension in postmenopausal women, but not in men.

Occupational Risk Factors for Physical and Mental Health in Primary Healthcare Providers: A National Cross-Sectional Survey from 62 Urban Communities in China

Purpose

To understand the physical and mental health status of primary healthcare providers (PHPs) including physicians, nurses and other staff and the workplace risk factors for depression, anxiety and intention-to-leave.

Patients and Methods

In December 2021, a national cross-sectional survey was conducted from 62 urban communities in China, and all PHPs were invited to complete a standardized questionnaire. Information on demographic, health-related lifestyle, cardiovascular risk factors and physical health status, occupational stress and intention-to-leave was collected. Depression and anxiety were assessed using the Zung Self-Rating Anxiety/Depression Scale (SAS/SDS).

Results

A total of 4901 PHPs were included. 67.0% males currently drank alcohol vs 25.3% in females; 36.0% males currently smoked cigarettes vs 1.4% in females. Notably, more than half males were overweight or obese, but this proportion was 24.2% in females. The prevalence of chronic diseases, including hypertension, diabetes, dyslipidemia, non-alcoholic fatty liver disease, gout, and disease clustering were higher in males than in females. The prevalence of depression and anxiety were high, 50% had depression, of whom 15.6% had moderate/severe depression. Over 15% participants had varied levels of anxiety, and approximately 4% had moderate/severe anxiety. PHPs who aged 18-29 (OR: 1.31, 95% CI: 1.05-1.64), were males (OR: 1.34, 95% CI: 1.14-1.57), with lower professional title (comparing with staff with senior title, the ORs of the intermedium, junior and none were 1.83, 2.18 and 2.49, respectively), took charge in nursing (OR: 1.41, 95% CI: 1.20-1.65), with higher perceived stress level (OR: 1.82, 95% CI: 1.41-2.34), and suffering from severe fatigue (OR: 2.55, 95% CI: 1.99-3.27) were more likely to have depression. Likewise, PHPs who were younger, with intermedium professional title, had higher perceived pressure level, and higher fatigue levels were more likely to have anxiety.

Conclusion

The mental health of PHPs is worrisome, with a high burden of chronic diseases and occupational risk factors. Younger PHPs, nurses, and those with higher levels of work pressure and fatigue are more vulnerable to psychological problems. The high prevalence of intention-to-leave calls for strategies that relieve the workplace stress and enhance the human resource capability.

Risk Prediction for the Development of Hyperuricemia: Model Development Using an Occupational Health Examination Dataset

OBJECTIVE

Hyperuricemia has become the second most common metabolic disease in China after diabetes, and the disease burden is not optimistic.

METHODS

We used the method of retrospective cohort studies, a baseline survey completed from January to September 2017, and a follow-up survey completed from March to September 2019. A group of 2992 steelworkers was used as the study population. Three models of Logistic regression, CNN, and XG Boost were established to predict HUA incidence in steelworkers, respectively. The predictive effects of the three models were evaluated in terms of discrimination, calibration, and clinical applicability.

RESULTS

The training set results show that the accuracy of the Logistic regression, CNN, and XG Boost models was 84.4, 86.8, and 86.6, sensitivity was 68.4, 72.3, and 81.5, specificity was 82.0, 85.7, and 86.8, the area under the ROC curve was 0.734, 0.724, and 0.806, and Brier score was 0.121, 0.194, and 0.095, respectively. The XG Boost model effect evaluation index was better than the other two models, and similar results were obtained in the validation set. In terms of clinical applicability, the XG Boost model had higher clinical applicability than the Logistic regression and CNN models.

CONCLUSION

The prediction effect of the XG Boost model was better than the CNN and Logistic regression models and was suitable for the prediction of HUA onset risk in steelworkers.

Fat-to-Muscle Ratio Is Independently Associated with Hyperuricemia and a Reduced Estimated Glomerular Filtration Rate in Chinese Adults: The China National Health Survey

BACKGROUND

The effects of the fat-to-muscle ratio (FMR) on hyperuricemia and a reduction in the estimated glomerular filtration rate (eGFR) are still unclear.

METHODS

Data from the China National Health Survey were used to explore the associations of the FMR with hyperuricemia and reduced eGFR. The fat mass and muscle mass were measured through bioelectrical impedance analysis. Mediation analysis was used to estimate the mediated effect of hyperuricemia on the association between the FMR and reduced eGFR.

RESULTS

A total of 31171 participants were included. For hyperuricemia, compared with the Q1 of the FMR, the ORs (95% CI) of Q2, Q3 and Q4 were 1.60 (1.32-1.95), 2.31 (1.91-2.80) and 2.71 (2.15-3.43) in men and 1.91 (1.56-2.34), 2.67 (2.12-3.36) and 4.47 (3.40-5.89) in women. For the reduced eGFR, the ORs (95% CI) of Q2, Q3 and Q4 of the FMR were 1.48 (1.18-1.87), 1.38 (1.05-1.82) and 1.45 (1.04-2.04) in men aged 40-59, but no positive association was found in younger men or in women. Hyperuricemia mediated the association between the FMR and reduced eGFR in men. The OR (95% CI) of the indirect effect was 1.08 (1.05-1.10), accounting for 35.11% of the total effect.

CONCLUSIONS

The FMR was associated with hyperuricemia and reduced eGFR, and the associations varied based on sex and age. The effect of the FMR on the reduced eGFR was significantly mediated by hyperuricemia in men.