Association between serum uric acid level and mortality in China

Lower time-averaged serum uric acid was associated with increased mortality in peritoneal dialysis patients

BACKGROUND

The relationship between time-averaged serum uric acid (TA-SUA) levels and prognosis in peritoneal dialysis (PD) patients are rarely discussed.

METHODS

This was a retrospective cohort study. PD patients recruited from January 1, 2011, to December 31, 2020, were included. Baseline and follow-up uric acid levels over 1 year were collected to calculate time-averaged serum uric acid (TA-SUA) levels. Patients were divided into four groups based on TA-SUA quartiles: Q1 (<5.1 mg/dl), Q2 (5.1-5.8 mg/dl), Q3 (5.8-6.8 mg/dl), and Q4 (>6.8 mg/dl).

RESULTS

A total 487 PD patients with a mean age of 52.0 ± 14.2 were enrolled, including114 (23.4%) diabetes. Q1 (n = 121, 24.8%), Q2 (n = 118, 24.2%), Q3 (n = 125, 25.7%), and Q4 (n = 123, 25.3%). The Q1 group exhibited characteristics of increased age, malnutrition, and a higher prevalence of diabetes. During the 48.1 months follow-up time, 197 (35.8%) died, 109 (55.3%) cardiovascular disease (CVD), 38 (19.3%) infections. Kaplan-Meier analysis revealed that both all-cause mortality and cardiovascular mortality were significantly higher in the Q1 and Q4 groups (log-rank = 24.373, p < 0.001). COX regression analysis showed that decreased TA-SUA level was an independent risk factor for all-cause mortality in PD patients after adjustment for confounding factors. Each 1 mg/dl decrease in TA-SUA level was associated with a 23.46% increase in all-cause mortality (HR = 0.81, 95% CI, 0.71-0.94; p = 0.004*). Lower serum albumin level was associated with increased all-cause mortality.

CONCLUSION

PD patients with lower TA-SUA were older and had a higher proportion of diabetes and malnourishment than those with higher TA-SUA. Long-term exposure to low TA-SUA levels was an independent predictor of all-cause and cardiovascular mortality in PD patients.

Linking Hyperuricemia to Cancer: Emerging Evidence on Risk and Progression

PURPOSE OF REVIEW

Metabolic disorders significantly contribute to cancer burden globally. Uric acid (UA), a recognized metabolic risk factor linked to gout, also promotes insulin resistance, fatty liver, inflammation, and carcinogenesis. This systematic review evaluates UA's dual role in cancer, synthesizing epidemiological, mechanistic, and clinical evidence to clarify its potential as a therapeutic target.

RECENT FINDINGS

The research of UA on cancer development mainly focuses on a clinical observational study, with limited molecular mechanism exploration. The associations between UA and cancer risk remain controversial, as sometimes the antioxidant, anti-inflammatory and immune-enhancing properties of UA are presented. There is lacking a systematic and updated review for summarizing the role of hyperuricemia on cancer risk and progression. The precise mechanism of UA in either enhancing or inhibiting cancer progression remains uncertain. Serum uric acid (SUA) exhibits paradoxical roles in cancer, with its effects varying by tumor type, concentration, gender, and disease stage. While UA predominantly drives tumorigenesis in most cancers, it shows protective effects in specific malignancies such as soft-tissue sarcoma and laryngeal squamous cell carcinoma, potentially through antioxidant activity at lower concentrations. Mechanistically, UA highly participate in the cancer risk and progression through reactive oxygen species (ROS) generation, disrupting T cell activation and dendritic cell maturation, exacerbating insulin resistance, and driving xanthine oxidoreductase (XOR) expression during the process of wound healing. Emerging clinical and mechanistic evidence highlights its oncogenic potential, underscoring the need for large-scale randomized controlled trials and cohort studies to clarify the relationship between hyperuricemia and cancer progression. Future research should prioritize exploring anti-UA therapies for cancer treatment, developing advanced animal models to dissect UA's mechanisms, and integrating diverse genomic datasets to unravel its context-dependent roles. Addressing these gaps will advance targeted strategies to leverage UA biology in cancer management.

Association between the uric acid-to-HDL-cholesterol ratio (UHR) and the risk of cardiovascular disease and dyslipidemia: a population-based study

BACKGROUND AND AIMS

The uric acid-to-HDL-cholesterol ratio (UHR), a novel marker of metabolism and inflammation, has been investigated in various diseases. However, its potential associations with the incidence of cardiovascular disease (CVD) and dyslipidemia remain unclear. This study aimed to examine the relationships between the UHR and the incidence of CVD and dyslipidemia. The primary objective was to evaluate the role of the UHR in predicting CVD and dyslipidemia, whereas the secondary objective was to analyze the predictive effects of the UHR in different subgroups.

METHODS

We conducted a cross-sectional analysis using data from the 2001-2018 National Health and Nutrition Examination Survey (NHANES), which included 6,370 adults aged 18-80 years. Weighted binary logistic regression and subgroup analyses were performed to evaluate the independent associations between the UHR and the risk of various cardiovascular conditions, including overall CVD, congestive heart failure, myocardial infarction, angina, coronary heart disease, and dyslipidemia. To investigate potential nonlinear relationships between the UHR and these outcomes, restricted cubic spline modeling was applied to further elucidate the associations.

RESULTS

Among the 6,370 participants included in the study, 559 were diagnosed with CVD. Elevated UHR values were strongly associated with a greater incidence of CVD and its subtypes, including congestive heart failure, myocardial infarction, angina, and coronary heart disease (all P < 0.001). After accounting for weighted factors, participants in the higher UHR quartiles presented progressively higher rates of CVD: Quartile 1 (4.7%), Quartile 2 (6.3%), Quartile 3 (7.4%), and Quartile 4 (11%). A nonlinear relationship between the UHR and the risk of developing CVD was identified through restricted cubic spline (RCS) analysis. Among the subgroup of 4,117 participants with dyslipidemia, multivariable linear regression analysis demonstrated a significant positive association between the UHR and dyslipidemia (OR 17.38, 95% CI 16.24-18.60). This association remained robust even after adjusting for covariates (OR 11.65, 95% CI 8.995-15.17). RCS analysis further confirmed the nonlinear nature of this relationship. Subgroup analysis revealed no significant interaction between the UHR and overall CVD or CVD-related variables, such as congestive heart failure, myocardial infarction, angina, or coronary heart disease. However, for dyslipidemia, BMI showed a significant interaction, indicating that the positive association between the UHR and dyslipidemia risk is influenced by participants' BMI.

CONCLUSION

A high UHR is associated with an increased risk of various cardiovascular conditions and dyslipidemia. The incorporation of routine UHR monitoring into clinical practice can support the early identification of high-risk individuals, facilitate timely interventions, and reduce the burden of cardiovascular and metabolic diseases.

Associations between kidney function with all-cause and cause-specific mortality in type 2 diabetes mellitus patients: a prospective cohort study in China

BACKGROUND

Abnormal kidney function is associated with adverse outcomes in patients with type 2 diabetes mellitus (T2DM). However, the evidence between kidney function and mortality among Chinese patients with T2DM were still limited.

METHODS

This cohort study included 19,919 participants with baseline T2DM from 2013 to 2014 in Jiangsu, China. Serum estimated glomerular filtration rate (eGFR), urea, and uric acid were measured at baseline, and Cox regression models were used to evaluate hazard ratios (HRs) and 95% confidential intervals (95%CIs) of all-cause and cause-specific mortality. Restricted cubic splines were used to analyze dose-response relationships, and we explored the best cut-off values by receiver operating characteristic (ROC) curves.

RESULTS

During a median follow-up of 9.77 years, 4,428 deaths occurred, including 1,542 (34.8%) due to cardiovascular disease (CVD), and 1,074 (24.3%) due to cancer. Compared to lowest quintile level (Q1), the highest quintile (Q5) of eGFR was negatively associated with all-cause (HR = 0.67, 95%CI: 0.58-0.77) and CVD mortality (HR = 0.57, 95%CI = 0.44-0.75). The higher levels of urea and uric acid were positively associated with all-cause mortality (Q5 vs. Q1: HR = 1.27, 95%CI: 1.16-1.39; HR = 1.21, 95%CI: 1.10-1.34), with an overall "U-shaped" dose-response relationships. Moreover, higher urea was negatively associated with cancer mortality (Q5 vs. Q1: HR = 0.79, 95%CI: 0.66-0.95). The best cut-off values with all-cause mortality were 88.50 ml/min/1.73m2, 6.95 mmol/L and 342.50 µmol/L for eGFR, urea, and uric acid, respectively.

CONCLUSION

We found abnormal kidney function was associated with mortality among people with T2DM. More clinical researches are needed to validate the effects and cut-off values of kidney function on mortality risk for T2DM prevention and management.

Impact of gout on cardiovascular disease mortality: a meta-analysis

BACKGROUND

Several epidemiological studies have suggested that gout patients have a higher risk of cardiovascular disease mortality than healthy people. In contrast, the association between gout and cardiovascular disease (CVD) mortality was not obvious in other studies. In the present study, we aimed to investigate the relative risk for CVD mortality in gout patients in comparison to healthy controls.

METHODS

Literature published before March 2023 was searched in Google Scholar, PubMed, and the Web of Science. We summarized the impact of gout on CVD mortality with a meta-analysis. Hazard ratios (HRs) and 95% confidence intervals (CIs) regarding the impact of gout on CVD mortality were summarized with STATA 12.0 software.

RESULTS

Compared to individuals without gout, those with gout had higher mortality risks for CVD during follow-up, with a random effects model showing a risk of 1.30 (95% CI 1.15 to 1.48, p < 0.001; p-value for Cochran Q test < 0.001, I2 = 95.9%). Similarly, subjects with gout had a mortality risk of 1.28 (95% CI 1.12 to 1.46, p < 0.001; p-value for Cochran Q test = 0.050, I2 = 50.2%) for coronary heart disease (CHD) mortality during follow-up using the same statistical model. Furthermore, using a fixed effects model, individuals with gout had a mortality risk of 1.13 (95% CI 1.00 to 1.27, p = 0.049; p-value for Cochran Q test = 0.494, I2 = 0.0%) for myocardial infarction (MI) mortality during follow-up.

CONCLUSION

In conclusion, this meta-analysis provides evidence supporting a markedly increased mortality risk from CVD and CHD as well as MI in patients with gout relative to reference subjects without gout.

Association of serum uric acid with all-cause and cardiovascular mortality in cardiovascular disease patients

The relationship between serum uric acid (SUA) and mortality in patients with cardiovascular disease (CVD) remains controversial. We aimed to explore the relationship between SUA and all-cause mortality (ACM) and cardiovascular mortality (CVM) in adult patients with CVD. This cohort study included 3977 patients with CVD from the National Health and Nutrition Examination Survey (2005-2018). Death outcomes were determined by linking National Death Index (NDI) records through December 31, 2019. We explored the association of SUA with mortality using weighted Cox proportional hazards regression models, subgroup analysis, Kaplan-Meier survival curves, weighted restricted cubic spline (RCS) models, and weighted threshold effect analysis among patients with CVD. During a median follow-up of 68 months (interquartile range, 34-110 months), 1,360 (34.2%) of the 3,977 patients with cardiovascular disease died, of which 536 (13.5%) died of cardiovascular deaths and 824 (20.7%) died of non-cardiovascular deaths. In a multivariable-adjusted model (Model 3), the risk of ACM (HR 1.38, 95% CI 1.16-1.64) and the risk of CVM (HR 1.39, 95% CI 1.04-1.86) for participants in the SUA Q4 group were significantly higher. In patients with CVD, RCS regression analysis revealed a nonlinear association (p < 0.001 for all nonlinearities) between SUA, ACM, and CVM in the overall population and in men. Subgroup analysis showed a nonlinear association between ACM and CVM with SUA in patients with CVD combined with chronic kidney disease (CKD), with thresholds of 5.49 and 5.64, respectively. Time-dependent ROC curves indicated areas under the curve of 0.61, 0.60, 0.58, and 0.55 for 1-, 3-, 5-, and 10-year survival for ACM and 0.69, 0.61, 0.59, and 0.56 for CVM, respectively. We demonstrate that SUA is an independent prognostic factor for the risk of ACM and CVM in patients with CVD, supporting a U-shaped association between SUA and mortality, with thresholds of 5.49 and 5.64, respectively. In patients with CVD combined with CKD, the association of the ACM and the CVM with SUA remains nonlinear.

Association of serum uric acid to all-cause and cardiovascular mortality in patients with cardiovascular disease

Serum uric acid (SUA) has been linked to mortality in heart failure, hypertension, diabetes, hyperlipidemia, obstructive sleep apnea, and metabolic dysfunction-associated fatty liver disease. However, data are lacking on how it affects the mortality risk of patients with cardiovascluar disease (CVD). This study evaluated the data of 4 308 individuals from the National Health and Nutrition Examination Survey 1999-2008 using multivariate Cox proportional hazards regression, trend, restricted cubic splines (RCS), subgroup and inflection point analyses. All-cause and cardiovascular mortality accounted for 42.8% and 17.6% of cases, respectively, over a median 80- month follow-up. Upon control for confounding variables, no linear trend was seen in the Cox proportional hazards regression analysis between SUA and all-cause (P = 0.001) or cardiovascular death (P = 0.007) mortality. On the RCS analysis, SUA showed an L-shaped connection with all-cause (non-linear P < 0.001) and cardiovascular mortality (non-linear P = 0.003) mortality. On the inflection point analysis, patients with CVD and an SUA ≥ 6.127 mg/dL had an all-cause mortality hazard ratio of 1.146 (95% confidence interval, 1.078-1.217; P < 0.001), while those with CVD and an SUA ≥ 5.938 mg/dL had a cardiovascular mortality hazard ratio of 1.123 (95% confidence interval, 1.03-1.225; P = 0.007). In patients with CVD, higher SUA was non-linearly correlated with all-cause and cardiovascular mortality.

J-shaped association of serum uric acid concentrations with all-cause mortality in individuals with osteoarthritis: A prospective cohort study

OBJECTIVE

The purpose of this study was to explore the relationship between serum uric acid (SUA) concentrations and all-cause mortality in individuals with osteoarthritis (OA).

METHODS

All participant data were retrieved from the National Health and Nutrition Examination Survey database. A total of 4671 participants (age range: 20 to 85 years old), including 2988 females and 1683 males, were included in this study. The determination of death outcome was based on the National Death Index (up to December 31, 2019). We explored the nonlinear relationship between SUA concentrations and all-cause mortality in OA patients by establishing a Cox proportional risk model and a two-segment Cox proportional risk model and ran an interaction test to identify the high-risk population for all-cause mortality.

RESULTS

During 30,645 person-years of follow-up, the number of all-cause deaths for females and males was 736 and 516, respectively. After multivariate adjustment, we found a nonlinear relationship between SUA concentrations and all-cause mortality in both females and males with OA. In addition, we found a J-shaped relationship between SUA concentrations and all-cause mortality. The SUA concentration thresholds for all-cause mortality of females and males were stable at 5.6mg/dl and 6.2mg/dl, respectively. Compared with SUA concentrations below the inflection point, the all-cause mortality risk at higher SUA concentrations in females and males with OA increased by 20% (hazard ratio [HR]: 1.2, 95% confidence interval [CI]: 1.1 to 1.2) and 25% (HR: 1.2, 95% CI: 1.12 to 1.39), respectively.

CONCLUSIONS

There is a nonlinear relationship between SUA concentrations and all-cause mortality in the American OA population (J-shaped association). The all-cause mortality thresholds for SUA concentrations in females and males are 5.6mg/dl and 6.2mg/dl, respectively.

Serum uric acid levels and prognosis of patients with non-alcoholic fatty liver disease

Uric acid (UA) is associated with non-alcoholic fatty liver disease (NAFLD). However, it is unclear whether UA plays a predictive role in NAFLD prognosis. This study aimed to explore the relationship between UA levels and mortality in NAFLD patients without severe renal disease. Data were obtained from the Third National Health and Nutrition Examination Survey (NHANES). Time-dependent Cox regression was used to estimate the hazard ratio (HR) and 95% confidence interval (CI) for mortality. Overall, 2493 individuals with NAFLD and estimated glomerular filtration rate (eGFR) > 60 mL/min/1.73 m2 were included in this study. The median follow-up period was 26.58 years. Patients were divided into high and low-UA groups according to UA levels. Time-independent Cox regression showed that UA level was not an independent risk factor for mortality in NAFLD patients without decreased eGFR (P > 0.05). After matching for age and sex using the propensity score matching method, UA remained not independently associated with death in NAFLD patients (P > 0.05). Similar results were found for cardiovascular-related and cancer-related deaths. Although UA is closely related to NAFLD, UA levels are not independently associated with the long-term survival of patients with NAFLD without decreased eGFR.

Association of serum uric acid with all-cause and cardiovascular mortality in obstructive sleep apnea

The study investigated the association between Serum Uric Acid (SUA) levels and all-cause as well as cardiovascular mortality in patients with Obstructive Sleep Apnea (OSA). This prospective cohort study enrolled participants with OSA from four cycles of the National Health and Nutrition Examination Survey (NHANES) conducted between 2005 and 2008, and 2015-2018. A weighted Cox proportional hazards model was used to assess adjusted hazard ratios (aHRs) and their corresponding 95% confidence intervals (CI) for all-cause and cardiovascular mortality. Additionally, multivariable logistic regression and restricted cubic splines (RCS) models were employed to examine nonlinear relationships between SUA and all-cause and cardiovascular mortality. Among the 5,584 OSA participants included in the study, covering the four NHANES cycles and with a median follow-up of 4.333 years, a total of 537 deaths were observed, including 108 deaths attributed to cardiovascular disease. Comparing the fourth quartile (Q4) of uric acid levels, both the fifth quartile (Q5) (aHRs = 1.51, 95% CI [1.08, 2.12]) and the second quartile (Q2) (aHRs = 1.53, 95% CI [1.04, 2.25]) of uric acid levels were independently associated with an increased risk of all-cause mortality. Furthermore, comparing the fourth quartile (Q4) of uric acid levels, the second quartile (Q2) (aHRs = 2.40, 95% CI [1.08, 5.35]) of uric acid levels were independently associated with an increased risk of cardiovascular mortality. The RCS model demonstrated a U-shaped pattern in the association between SUA and all-cause mortality in OSA, with an inflection point observed at 5.83 mg/dl. The findings of this study suggest a U-shaped association between serum SUA levels and all-cause mortality and nonlinearity association between serum SUA levels and all-cause mortality. Further studies are warranted to determine the causal relationship between SUA levels and all-cause and cardiovascular mortality.

Possible correlated signaling pathways with chronic urate nephropathy: A review

Hyperuricemia nephropathy, also known as gouty nephropathy, refers to renal damage induced by hyperuricemia caused by excessive production of serum uric acid or low excretion of uric acid. the persistence of symptoms will lead to changes in renal tubular phenotype and accelerate the progress of renal fibrosis. The existence and progressive aggravation of symptoms will bring a heavy burden to patients, their families and society, affect their quality of life and reduce their well-being. With the increase of reports on hyperuricemia nephropathy, the importance of related signal pathways in the pathogenesis of hyperuricemia nephropathy is becoming more and more obvious, but most studies are limited to the upper and lower mediating relationship between 1 or 2 signal pathways. The research on the comprehensiveness of signal pathways and the breadth of crosstalk between signal pathways is limited. By synthesizing the research results of signal pathways related to hyperuricemia nephropathy in recent years, this paper will explore the specific mechanism of hyperuricemia nephropathy, and provide new ideas and methods for the treatment of hyperuricemia nephropathy based on a variety of signal pathway crosstalk and personal prospects.

Are serum uric acid levels predictors of cardiovascular risk? An update

PURPOSE OF REVIEW

The aim of this review was to update the evidence regarding the link between serum uric acid and cardiovascular risk, as well as the role of nutrition in the prevention and management of hyperuricaemia.

RECENT FINDINGS

The review focuses on recent epidemiological evidence concerning the role of elevated serum uric acid levels in cardiovascular risk prediction. The dietary prevention and management of hyperuricaemia is also discussed with an emphasis on the adoption of prudent dietary patterns.

SUMMARY

There is evidence supporting that elevated serum uric acid levels are positively associated with cardiovascular disease risk and might represent a useful additional marker for risk stratification. The association of serum uric acid with all-cause and cardiovascular mortality seems to be U-shaped, suggesting that both very low and very high serum uric acid levels might be detrimental for survival, the former being mediated by malnutrition. Apart from medication, the dietary management of hyperuricaemia should focus on the adoption of a prudent dietary pattern, such as the Mediterranean diet, which can both prevent gout and mitigate cardiometabolic risk.

Associations of serum uric acid levels with liver disease-related morbidity and mortality: A prospective cohort study of the UK Biobank

BACKGROUND AND AIMS

The association of serum uric acid (SUA) levels with liver-related morbidity and mortality remains undetermined. Therefore, we aimed to explore the association of SUA levels with liver-related morbidity and mortality.

METHODS

The present cohort study included 459 619 adults from the UK Biobank. Multivariable Cox proportional hazards models were used to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs) for the associations of SUA levels with morbidity and mortality of overall liver disease. Mendelian randomization (MR) analyses were conducted to explore the underlying causality. A polygenic risk score was generated to assess whether there was a gene-exposure interaction.

RESULTS

During a median follow-up of 12.6 years, 14 302 nonfatal and 609 fatal cases of overall liver disease were identified. Compared to individuals in the lowest quartile, the HRs (95% CI) of incident overall liver disease were 1.08 (1.02-1.14), 1.13 (1.07-1.20) and 1.44 (1.36-1.53) for individuals with SUA levels in quartiles 2, 3 and 4 respectively. Similarly, the HRs (95% CI) of liver disease-associated mortality were 1.09 (0.78-1.52), 1.55 (1.14-2.13) and 1.96 (1.42-2.69) for individuals with SUA levels in quartiles 2, 3 and 4 respectively. The MR results did not support the causal association of SUA levels with liver disease. In addition, there was a significant modification effect of the polygenic risk score on the association of SUA levels with incident overall liver disease (pinteraction  = .003).

CONCLUSIONS

Higher SUA levels were significantly associated with an increased risk of overall liver disease morbidity and mortality.

The potential relationship of coronary artery disease and hyperuricemia: A cardiometabolic risk factor

Coronary arterial disease (CAD) is the leading cause of mortality in the world. Hyperuricemia has recently emerged as a novel independent risk factor of CAD, in addition to the traditional risk factors such as hyperlipidemia, smoking, and obesity. Several clinical studies have shown that hyperuricemia is strongly associated with the risk, progression and poor prognosis of CAD, as well as verifying an association with traditional CAD risk factors. Uric acid or enzymes in the uric acid production pathway are associated with inflammation, oxidative stress, regulation of multiple signaling pathways and the renin-angiotensin-aldosterone system (RAAS), and these pathophysiological alterations are currently the main mechanisms of coronary atherosclerosis formation. The risk of death from CAD can be effectively reduced by the uric acid-lowering therapy, but the interventional treatment of uric acid levels in patients with CAD remains controversial due to the diversity of co-morbidities and the complexity of causative factors. In this review, we analyze the association between hyperuricemia and CAD, elucidate the possible mechanisms by which uric acid induces or exacerbates CAD, and discuss the benefits and drawbacks of uric acid-lowering therapy. This review could provide theoretical references for the prevention and management of hyperuricemia-associated CAD.

Concentration of serum uric acid in patients with Renal Artery Stenosis and Hypertension prEdict Future nephropathy and death: C-RASHEF study

Since both serum uric acid (SUA) and renal artery stenosis (RAS) are associated with atherosclerotic events and renal events, it is interesting to investigate whether SUA could predict long-term outcome in patients with RAS. Patients were enrolled from inpatients from 2010 to 2014, must be ≥40-year-old. There were 3269 hypertensive patients enrolled, including 325 RAS patients. Endpoints included all-cause death and new or worsening nephropathy (NNP). In analysis for all-cause mortality, associations between SUA and risk of all-cause mortality were an arising curve in total population, a U-shape curve in non-RAS population, and an arising curve in RAS population. When RAS was involved in multivariate analysis, association between SUA and risk of all-cause mortality was still an arising curve in total population. In analysis for NNP, associations between SUA and risk of NNP were a declining curve in total population, not significant in non-RAS population, and a U-shape curve in RAS population. When RAS was involved in multivariate analysis, association between SUA and risk of NNP in total population was no longer significant. Not only association curve of SUA with mortality in non-RAS patients is different from association curve in RAS patients, but also association curve of SUA with NNP in non-RAS patients is different from association curve in RAS patients. The authors conclude that mechanisms of uric acid for mortality and NNP in RAS patients are different from non-RAS patients. In addition to renal vascular obstruction, uric acid is another significant factor for NNP and death in RAS patients.

Gender-Specific and U-Shaped Relationship Between Serum Uric Acid and All-Cause Mortality Among Chinese Older Adults: A National Population-Based Longitudinal Study

Objectives: This study aimed to prospectively investigate gender-specific relationship between hyperuricemia and all-cause mortality among Chinese older adults. Methods: The study was based on the Chinese Longitudinal Healthy Longevity Survey (CLHLS) 2008-2018, a prospective nationwide cohort of older adults in China. Multivariate Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% CIs for all-cause mortality. Restricted cubic splines (RCS) were conducted to explore the dose-response relationship between SUA levels and all-cause mortality. Results: For older women, compared to the participants in the third quartile of SUA level, those in the highest quartile of SUA was associated with significantly higher risk of all-cause mortality in the fully adjusted model (HR: 1.41, 95% CI: 1.03-1.92). No significant associations between SUA levels and all-cause mortality were observed in older men. The present study further found a U-shaped non-linear relationship between SUA levels and all-cause mortality in both sexes of older population (P for non-linear <0.05). Conclusions: This study provided prospective epidemiological evidence for the predictive role of SUA on all-cause mortality among the Chinese aging population over 10 years of follow-up, while revealing considerable gender-related differences.

Association Between Uric Acid to HDL Cholesterol Ratio and Diabetic Complications in Men and Postmenopausal Women

AIM

Previous studies have implicated the uric acid to high-density lipoprotein cholesterol (HDL-C) ratio (UHR) was associated with type 2 diabetes. However, the association between UHR and diabetes-related vascular damages is still unclear.

METHODS

The total of 4551 patients with type 2 diabetes from the cross-sectional Environmental Pollutant Exposure and Metabolic Diseases in Shanghai study (METAL study) were enrolled. UHR was calculated as uric acid to HDL-C ratio. Cardiovascular disease (CVD) was defined as previously diagnosed with stroke, coronary heart disease, or peripheral arterial disease. Chronic kidney disease (CKD) was defined as estimated glomerular filtration rate ≤60 mL/min/1.73 m² and/or urinary albumin to creatinine ratio ≥30 mg/g. Fundus image was examined by trained individuals and degree of diabetic retinopathy (DR) was evaluated.

RESULTS

UHR was positively correlated with CVD (OR = 1.28, 95% CI: 1.02-1.61) and CKD (OR = 1.78, 95% CI: 1.39-2.27) after adjusting for all confounders. No association was found between UHR and DR. In stratified analyses, UHR was predominantly correlated with CVD in diabetic patients with age older than 65 (OR = 1.41, 95% CI: 1.08-1.85), female (OR = 1.43, 95% CI: 1.06-1.94) and BMI≥24kg/m² (OR = 1.57, 95% CI: 1.17-2.11). A 1-SD increment of UHR was also positively associated with CVD (OR 1.26, 95% CI 1.03, 1.15) and CKD (OR 1.28, 95% CI 1.20,1.39). UHR was positively associated with CKD in all subgroups analysis. No significant interaction effect was observed between UHR and all subgroup variables in CVD and CKD risk.

CONCLUSION

Our study reported a positive association between the UHR and diabetic-related vascular complications in men and postmenopausal women. The relationship between the UHR and DR seems to be uncertain and requires further investigation. And no significant interaction effect was observed between the UHR and all subgroup variables in CVD and CKD risk.

Landscape of cardiometabolic risk factors in Chinese population: a narrative review

With rapid economic growth and changes at all levels (including environmental, social, individual), China is facing a cardiovascular disease (CVD) crisis. In China, more than 40% of deaths are attributable to CVDs, and the number of CVD deaths has almost doubled in the past decades, in contrast to a decline in high-income countries. The increasing prevalence of cardiometabolic risk factors underlies the rise of CVDs, and thus curbing the rising cardiometabolic pandemic is imperative. Few articles have addressed this topic and provided an updated review of the epidemiology of cardiometabolic risk factors in China.In this narrative review, we describe the temporal changes in the prevalence of cardiometabolic risk factors in the past decades and their management in China, including both the well-recognized risk factors (general obesity, central obesity, diabetes, prediabetes, dyslipidemia, hypertension) and the less recognized ones (hyperhomocysteinemia, hyperuricemia, and high C-reactive protein). We also summarize findings from landmark clinical trials regarding effective interventions and treatments for cardiometabolic risk factors. Finally, we propose strategies and approaches to tackle the rising pandemic of cardiometabolic risk factors in China. We hope that this review will raise awareness of cardiometabolic risk factors not only in Chinese population but also global visibility, which may help to prevent cardiovascular risk.