Diagnosis of Gout as a Correlative Risk for Acute Myocardial Infarction in the Absence of Traditional Cardiovascular Risk Factors.

OBJECTIVES: We aimed to study the impact of gout as a correlative risk factor in the incidence of acute myocardial infarction (AMI) among patients without known MI risk factors. Our study population was obtained from the National Inpatient Sample (NIS) 2011-2018 using the International Classification of Diseases, Ninth and Tenth Revisions. METHODS: This study included patients without cardiovascular disease (CVD), and various outcomes were compared among patients with and without gout. Cohorts were weighted using an algorithm provided by the NIS, which allows for national estimates. Our primary endpoint was the odds of developing an MI, and secondary endpoints were adverse hospital events and length of stay. In total, 117,261,842 patients without CVD risk factors were included in this study, 187,619 (0.16%) of whom had a diagnosis of gout. RESULTS: Patients without CVD risk factors who had gout were older and more likely to be male compared with patients without gout. Among patients without CVD risk factors, the odds of having an AMI were significantly higher in those with gout compared with those without, even after adjusting for chronic nonsteroidal anti-inflammatory drug and oral steroid use. Moreover, patients without CVD risk factors and with gout were more likely to develop acute renal failure, acute thromboembolic event, shock, acute gastrointestinal bleed, and arrhythmia compared with those without gout. Furthermore, patients without CVD risk factors who were admitted with gout had higher mortality compared with those without gout. CONCLUSIONS: In our study, we found that patients without risk factors for AMI who had gout were more likely to develop AMI compared with those without gout. Furthermore, the same patients were more likely to develop other adverse outcomes. Even with proper management, these individuals should be monitored closely for coronary events.

Mendelian randomization reveals the causal association between gout and hearing impairment in older adults.

With the global aging trend escalating, the holistic well-being of the elderly has become a paramount concern within public health. Traditional observational studies often struggle with confounding factors and establishing causality, leaving the relationship between age-related hearing loss (ARHL) and gout largely unexplored. Employing bidirectional two-sample Mendelian randomization (MR) analysis, this investigation elucidated the genetic underpinnings associated with age-related hearing impairment, gout, and urate levels within the IEU Open-GWAS database, thereby uncovering potential causal connections that underlie the intricate interplay between gout, serum urate concentrations, and auditory decline in the geriatric demographic. In the forward MR phase, a cohort of 30 single nucleotide polymorphisms was leveraged to dissect the causal dynamics between ARHL and both gout and urate concentrations. Conversely, in the reverse MR phase, gout and urate levels were posited as the exposome to delineate their impact on hearing acuity, employing an array of models for rigorous validation and sensitivity scrutiny. In the forward MR analysis, a statistically significant correlation was discerned between ARHL and gout (P = .003, odds ratio = 1.01, 95% confidence interval: 1.00-1.02), alongside a notable association with serum urate levels (P = .031, odds ratio = 1.39, 95% confidence interval: 1.03-1.88), intimating that ARHL could potentially influence the incidence of gout and urate concentrations. Conversely, the reverse MR investigation revealed that neither gout nor serum urate levels exerted significant impact on auditory degradation (P > .05), insinuating that these factors might not predominantly contribute to hearing loss. Sensitivity analyses concurred with this inference. This study enriches the comprehension of geriatric health intricacies and unveils that ARHL potentially influences gout and serum urate concentrations. This suggests that monitoring ARHL may play a crucial role in the early identification and management of gout and hyperuricemia, potentially contributing to a comprehensive approach to improving geriatric health outcomes.

Gout comorbidities: results from the Korean National Health and Nutrition Examination Survey.

OBJECTIVES: Gout is associated with several comorbidities. This study aimed to evaluate the prevalence of comorbidities in the Korean adult population with gout and investigated the association of gout with these comorbidities. METHODS: Data from 15,935 (weighted n = 39,049,167) participants aged 19 years and older in the Korean National Health and Nutrition Examination Survey from 2019 to 2021 were used for analysis. Weighted prevalence and odds ratios (OR) of comorbidities in individuals with gout were compared to a non-gout population. RESULTS: The weighted prevalence of gout was 2.1% (weighted n = 808,778). Among individuals with gout, 66.5% had metabolic syndrome, 54.9% had hypertension, 41.2% had hypercholesterolemia, 19.1% had diabetes, 13.5% had chronic kidney disease (CKD), 4.1% had myocardial infarction or angina, 3.8% had stroke, and 2.8% had rheumatoid arthritis (RA). After adjusting for socioeconomic and lifestyle characteristics, gout was independently associated with the increased prevalence of metabolic syndrome (male OR = 2.0, 95% confidence interval (CI): 1.5-2.8; female OR = 3.7, 95% CI: 1.5-9.2), hypercholesterolemia (male OR = 1.9, 95% CI: 1.4-2.5; female OR = 3.1, 95% CI: 1.3-7.5), CKD (male OR = 4.5, 95% CI: 2.7-7.3; female OR = 11.5, 95% CI: 4.1-32.1), and RA (male OR = 2.8, 95% CI: 1.1-7.1; female OR = 3.1, 95% CI: 1.1-8.7) compared to the non-gout population. CONCLUSIONS: Gout was associated with several comorbidities, including RA, in both males and females. These results suggest that the prevention and treatment of comorbidities at the individual level, carried out by clinicians, and knowledge of these comorbidities would help guide health policies for the Korean population.

Dietary Carbohydrates, Genetic Susceptibility, and Gout Risk: A Prospective Cohort Study in the UK.

This study aimed to investigate the associations between carbohydrate intake and gout risk, along with interactions between genetic susceptibility and carbohydrates, and the mediating roles of biomarkers. We included 187,387 participants who were free of gout at baseline and completed at least one dietary assessment in the UK Biobank. Cox proportional hazard models were used to estimate the associations between carbohydrate intake and gout risk. Over a median follow-up of 11.69 years, 2548 incident cases of gout were recorded. Total carbohydrate intake was associated with a reduced gout risk (Q4 vs. Q1: HR 0.67, 95% CI 0.60-0.74), as were total sugars (0.89, 0.80-0.99), non-free sugars (0.70, 0.63-0.78), total starch (0.70, 0.63-0.78), refined grain starch (0.85, 0.76-0.95), wholegrain starch (0.73, 0.65-0.82), and fiber (0.72, 0.64-0.80), whereas free sugars (1.15, 1.04-1.28) were associated with an increased risk. Significant additive interactions were found between total carbohydrates and genetic risk, as well as between total starch and genetic risk. Serum urate was identified as a significant mediator in all associations between carbohydrate intake (total, different types, and sources) and gout risk. In conclusion, total carbohydrate and different types and sources of carbohydrate (excluding free sugars) intake were associated with a reduced risk of gout.

Gout or Hyperuricemia and Dementia Risk: A Meta-Analysis of Observational Studies.

Background: As a natural antioxidant, uric acid has neuroprotective effects. The association between uric acid levels and dementia risk was reported by previous studies. However, recently published studies showed that the relationship between uric acid and dementia risk might be heterogeneous in dementia subtypes. Objective: This study aimed to clarify the relationship between hyperuricemia (or gout) and dementia. Methods: The PubMed and Web of Science databases were systematically searched up to April 2024 to identify relevant studies. A meta-analysis was conducted using hazard ratios (HR) or odds ratios (OR) and 95% confidence interval (CI) as pooled indicators. Heterogeneity between the studies was examined using Cochran's Q statistic and I2 statistic. Subgroup analyses were conducted for gender and age. Stratification analysis, sensitivity analyses and meta-regression were conducted to explore possible explanations for heterogeneity. Publication bias was assessed by funnel plot and Egger's test. Results: A total of 11 studies met the inclusion criteria including 2,928,152 participants were abstracted. Hyperuricemia (or gout) did not reduce the overall risk of dementia (OR/HR = 0.92, 95% CI: 0.81-1.05) and vascular dementia (OR/HR = 0.74, 95% CI: 0.53-1.05), but may have a protective effect against Alzheimer's disease (OR/HR = 0.82, 95% CI: 0.70-0.96). Subgroup analysis showed that a lower risk of dementia was observed in men (OR/HR = 0.83, 95% CI: 0.77-0.90) and patients whose age under 65 (OR/HR = 0.83, 95% CI: 0.72-0.95). Conclusions: Patients with gout or hyperuricemia have a low risk of Alzheimer's disease.

Association between serum iron status and the risk of five bone and joint-related diseases: a Mendelian randomization analysis.

Background: According to reports, iron status has been associated with the risk of bone and joint-related diseases. However, the exact role of iron status in the development of these conditions remains uncertain. Method: We obtained genetic data on iron status, specifically serum iron, ferritin, transferrin saturation (TSAT), and transferrin, as well as data on five common bone and joint-related diseases (osteoarthritis, osteoporosis, rheumatoid arthritis [RA], ankylosing spondylitis [AS], and gout) from independent genome-wide association studies involving individuals of European ancestry. Our primary approach for causal estimation utilized the inverse variance weighted (IVW) method. To ensure the reliability of our findings, we applied complementary sensitivity analysis and conducted reverse causal analysis. Result: Using the IVW method, we revealed a positive causal relationship between ferritin levels and the risk of osteoarthritis (OR [95% CI], 1.0114 [1.0021-1.0207]). Besides, we identified a protective causal relationship between serum iron levels and TSAT levels in the risk of RA (OR [95% CI] values of serum iron and TSAT were 0.9987 [0.9973-0.9999] and 0.9977 [0.9966-0.9987], respectively). Furthermore, we found a positive causal relationship between serum iron levels and the risk of AS (OR [95% CI], 1.0015 [1.0005-1.0026]). Regarding gout, both serum iron and TSAT showed a positive causal relationship (OR [95% CI] values of 1.3357 [1.0915-1.6345] and 1.2316 [1.0666-1.4221] for serum iron and TSAT, respectively), while transferrin exhibited a protective causal relationship (OR [95% CI], 0.8563 [0.7802-0.9399]). Additionally, our reverse causal analysis revealed a negative correlation between RA and ferritin and TSAT levels (OR [95% CI] values of serum iron and TSAT were 0.0407 [0.0034-0.4814] and 0.0049 [0.0002-0.1454], respectively), along with a positive correlation with transferrin (OR [95% CI], 853.7592 [20.7108-35194.4325]). To ensure the validity of our findings, we replicated the results through sensitivity analysis during the validation process. Conclusion: Our study demonstrated a significant correlation between iron status and bone and joint-related diseases.

Association between dietary vitamin C intake and gout among American adults.

Introduction: Gout is a common type of inflammatory arthritis. Vitamin C is a potent antioxidant that neutralizes reactive oxygen species. However, the association between dietary vitamin C levels and gout remains unclear. This study evaluated the relationship between dietary vitamin C intake and gout. Methods: Cross-sectional data from individuals aged > 20 years who participated in the National Health and Nutrition Examination Survey between 2013 and 2018 were collected. Details on gout, dietary vitamin C intake, and several other essential variables were recorded. Results: There were 12589 participants, 5% (652/12589) of whom experienced gout. Compared with individuals with lower vitamin C consumption in the Q1 group (≤19.9 mg/day), the adjusted odds ratio(OR)values for dietary vitamin C intake and gout in the Q2 group (19.9-49.7 mg/day), Q3 group (49.7-110.375 mg/day), and Q4 group (≥110.375 mg/day) were 0.87 (95% confidence interval (CI): 0.69-1.1, P = 0.237), 0.81 (95% CI: 0.64-1.02, P = 0.076), and 0.77 (95% CI: 0.6-0.99, P= 0.042), respectively. Accordingly, the association between dietary vitamin C intake and gout exhibited an L-shaped curve (nonlinear, P = 0.245) in a restricted cubic spline. Subgroup analysis revealed significant interactions between vitamin C levels and gout according to sex (P < 0.05). When we used data on dietary vitamin C from the second survey, we observed a similar inverse association between vitamin C intake and gout. The vitamin C was also negatively associated with hyperuricemia (OR, 0.94; 95% CI, 0.9-0.98, P=0.005). Compared with Q1, the adjusted OR values for dietary vitamin C and hyperuricemia in Q2, Q3, and Q4 were 0.77 (95% CI: 0.69-0.86, P = 0.65), 0.81 (95% CI: 0.72-0.91, P = 0.014), and 0.72 (95% CI: 0.64-0.81, P < 0.001), respectively. No association was observed between vitamin C supplementation and gout. Conclusion: The population-based data indicate that dietary vitamin C intake is inversely associated with gout. These findings support the potential role of vitamin C in preventing gout.

Plasma aldosterone concentrations elevation in hypertensive patients: the dual impact on hyperuricemia and gout.

Background: Prior research has highlighted the association between uric acid (UA) and the activation of the renin-angiotensin-aldosterone system (RAAS). However, the specific relationship between aldosterone, the RAAS's end product, and UA-related diseases remains poorly understood. This study aims to clarify the impact of aldosterone on the development and progression of hyperuricemia and gout in hypertensive patients. Methods: Our study involved 34534 hypertensive participants, assessing plasma aldosterone concentration (PAC)'s role in UA-related diseases, mainly hyperuricemia and gout. We applied multiple logistic regression to investigate the impact of PAC and used restricted cubic splines (RCS) for examining the dose-response relationship between PAC and these diseases. To gain deeper insights, we conducted threshold analyses, further clarifying the nature of this relationship. Finally, we undertook subgroup analyses to evaluate PAC's effects across diverse conditions and among different subgroups. Results: Multivariate logistic regression analysis revealed a significant correlation between the occurrence of hyperuricemia and gout and the elevation of PAC levels. Compared to the first quartile (Q1) group, groups Q2, Q3, and Q4 all exhibited a significantly increased risk of occurrence. Moreover, the conducted RCS analysis demonstrated a significant nonlinear dose-response relationship, especially when PAC was greater than 14 ng/dL, with a further increased risk of hyperuricemia and gout. Finally, comprehensive subgroup analyses consistently reinforced these findings. Conclusion: This study demonstrates a close association between elevated PAC levels and the development of UA-related diseases, namely hyperuricemia and gout, in hypertensive patients. Further prospective studies are warranted to confirm and validate this relationship.

Isolation, identification, and epidemiological characteristics of goose astrovirus causing acute gout in Guangdong province, China.

Goose astrovirus (GAstV) has been widespread in China since 2016, causing significant growth inhibition and gout symptoms in goslings and leading to substantial economic losses in the goose industry. To better understand the epidemiological characteristics of GAstV in Guangdong Province, 682 samples were collected from geese with suspected GAstV infection across different regions of Guangdong Province from January 2022 to January 2024. Virus isolation, identification, and genetic evolution analysis were performed. The results showed that all samples were GAstV positive, with 52.64% co-infected with GAstV-1 and GAstV-2, and 42.38% positive for GAstV-2 alone, indicating that GAstV-2 remains the most prevalent subtype. Additionally, three GAstV isolates were identified using molecular detection, immunofluorescence, and transmission electron microscopy on LMH cells or goose embryos. Compared with GDYJ2304 and other reported GAstV-2 strains, the ORF2 region of the GDYJ2210 isolates lacked 3 bases, and the replication ability of GDYJ2210 was significantly higher than that of GDYJ2304. Whole genome sequence alignment and genetic evolution analysis revealed that the GDFS2209 isolate was located in the GAstV-1 branch, with a sequence similarity of 89.70 to 99.00% to GAstV-1 reference strains. The GDYJ2210 and GDYJ2304 isolates were located in the GAstV-2 branch, showing a sequence similarity of 96.80 to 98.90% to GAstV-2 reference strains. These results demonstrated that the GAstV isolates were highly similar to each other despite being prevalent in 5 different regions of Guangdong Province. These findings enhance the understanding of the genetic diversity and evolution of GAstV and may facilitate the development of effective preventive strategies.

Consumption of Total and Specific Alcoholic Beverages and Long-Term Risk of Gout Among Men and Women.

Importance: Previous studies on alcohol consumption and incident gout have mostly included men or combined both sexes, and the sex-specific associations between alcohol consumption and gout are poorly understood. Objective: To evaluate the consumption of total and specific alcoholic beverages in association with incident gout in men and women. Design, Setting, and Participants: This prospective cohort study included 401 128 participants in the UK Biobank aged 37 to 73 years who were free of gout at baseline (2006-2010). Participants were followed up through December 31, 2021, and data were analyzed between August 2023 and June 2024. Exposure: Questionnaire-based consumption of total alcohol and specific alcoholic beverages. Main Outcomes and Measures: The outcome was incident gout, identified using hospital records. Multivariable Cox proportional hazards regression models were used to estimate sex-specific hazard ratios (HRs) and 95% CIs of incident gout associated with alcohol consumption, with a particular consideration of reverse causation bias. Results: The main analysis included 179 828 men (mean [SD] age, 56.0 [8.2] years) and 221 300 women (mean [SD] age, 56.0 [8.0] years). Current drinkers showed a higher risk of gout than never drinkers among men (HR, 1.69; 95% CI, 1.30-2.18) but not among women (HR, 0.83; 95% CI, 0.67-1.03). Among current drinkers, higher total alcohol consumption was associated with a higher risk of gout among both sexes and more strongly among men than women (men: HR, 2.05 [95% CI, 1.84-2.30]; women: HR, 1.34 [95% CI, 1.12-1.61]). The most evident sex difference in the consumption of specific alcoholic beverages was observed for beer or cider (men: mean [SD], 4.2 [4.8] pints per week; women: mean [SD], 0.4 [1.1] pints per week). Consumption of champagne or white wine, beer or cider, and spirits each was associated with a higher risk of gout among both sexes, with beer or cider showing the strongest association per 1 pint per day (men: HR, 1.60 [95% CI, 1.53-1.67]; women: HR, 1.62 [95% CI, 1.02-2.57]). Some inverse associations between light to moderate consumption of specific alcoholic beverages and gout were eliminated after adjusting for other alcoholic beverages and excluding individuals who had reduced alcohol consumption for health reasons, self-reported poor health, or had cardiovascular disease, cancer, or kidney failure at baseline, or developed gout within the first 2 years of follow-up. Conclusions and Relevance: In this cohort study, higher consumption of several specific alcoholic beverages was associated with a higher risk of gout among both sexes. The sex-specific associations for total alcohol consumption may be associated with differences between men and women in the types of alcohol consumed.

Association between triglyceride glycemic index and gout in US adults.

BACKGROUND: Insulin resistance (IR) has been linked to the development of gout. The triglyceride glycemic (TyG) index is a useful biomarker of IR, and the evidences between TyG and gout are limited. Therefore, this study aimed to examine the association between the TyG index and gout in the United States (U.S). METHODS: The cross-sectional study was conducted among adults with complete TyG index and gout data in the 2007-2017 National Health and Nutrition Examination Survey (NHANES). The TyG index was calculated as fasting triglycerides (mg/dl) * fasting glucose (mg/dl)/2. Gout was assessed by self-report questionnaire (MCQ160n). Weighted chi-squared and weighted Student's t-test were used to assess group differences. Weighted multivariable logistic regression analysis, subgroup analysis, and interaction tests were used to examine the TyG index and gout association. RESULTS: The final participants were 11,768; 5910 (50.32%) were female, 7784 (73.26%) were 18-60 years old, 5232 (69.63%) were white, and 573 (5.12%) had gout. After adjusting for all covariates, the TyG index was positively associated with gout; each unit increase in TyG index was associated with 40% higher odds of gout (odds ratio (OR), 1.40; 95% CI: 1.82-2.66; p < 0.0001). Participants in the highest TyG index tertile group were at high risk of gout (odds ratio (OR), 1.64; 95% CI: 1.06-2.54, p = 0.03) versus those in the lowest tertile group. Interaction tests showed no significant effect of age, race, marital status, PIR level, education, BMI, smoking status, drinking status, hypertension, and DM on this association between TyG index and gout (p for interaction > 0.05). CONCLUSIONS: In this large cross-sectional study, our results suggested that a higher TyG index was associated with an increased likelihood of gout in U.S. adults. Our findings highlight that the TyG index is a reliable biomarker of IR; management of IR among adults may prevent or alleviate the development of gout; meanwhile, the TyG index may be a simple and cost-effective method to detect gout.

Relationships between obesity and prevalence of gout in patients with type 2 diabetes mellitus: a cross-sectional population-based study.

BACKGROUND: The purpose of this study was to investigate the relationships between generalized, abdominal, and visceral fat obesity and the prevalence of gout in patients with type 2 diabetes mellitus (T2DM). METHODS: Data were obtained from the electronic medical databases of the National Metabolic Management Center (MMC) of Yuhuan Second People's Hospital and Taizhou Central Hospital (Taizhou University Hospital) between September 2017 and June 2023. Four obesity indicators were analyzed: waist circumference (WC), waist-to-hip ratio (WHR), body mass index (BMI), and visceral fat area (VFA). The relationships between these parameters and gout prevalence were analyzed using multivariate logistic regression and restricted cubic spline (RCS) analyses. Receiver operating characteristic (ROC) curves were used to evaluate the diagnostic efficacy of the four parameters for gout. RESULTS: This cross-sectional study enrolled 10,535 participants (600 cases and 9,935 controls). Obesity was more common in patients with gout, and the obesity indicators were markedly higher in this group. After adjustment for confounders, obesity, as defined by BMI, WC, WHR, and VFA, was found to be associated with greater gout prevalence, with odds ratios (OR) of 1.775, 1.691, 1.858, and 1.578, respectively (P < 0.001). The gout odds ratios increased markedly in relation to the obesity indicator quartiles (P-value for trend < 0.001), and the obesity indicators were positively correlated with gout prevalence, as shown using RCS. The area under the ROC curve values for BMI, WC, WHR, and VFA were 0.629, 0.651, 0.634, and 0.633, respectively. CONCLUSION: Obesity-whether general, abdominal, or visceral fat obesity-was positively linked with elevated gout risk. But uncovering the causality behind the relationship requires further prospective study. Obesity indicators (BMI, WC, WHR, and VFA) may have potential value for diagnosing gout in clinical practice.

Nonlinear association between non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio and hyperuricemia in cancer patients: evidence from NHANES 2007-2018.

BACKGROUND: Evidence shows that cancer patients are more likely to have hyperuricemia (HUA) compared to the general population, with lipid metabolism playing a significant role. However, it is still unclear whether there is a non-linear relationship between the non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) and HUA in these patients. This study aims to explore the association between NHHR and HUA in cancer patients. METHODS: This study included participants from the NHANES database from 2007 to 2018. We used multivariable logistic regression, restricted cubic splines (RCS) analysis, and subgroup analysis to examine the association between NHHR and HUA and gout in cancer patients, as well as to investigate differences in this association among specific subgroups. RESULTS: A total of 2826 participants were included, with a HUA prevalence of 24.30%. Weighted multivariable logistic regression showed that for each unit increase in NHHR, the odds of HUA in cancer patients increased by 16% (95% confidence interval [CI]: 1.06, 1.29, P = 0.002). When NHHR was divided into tertiles, those in the highest tertile (Q3) had a 1.84 times higher odds of developing HUA compared to those in the lowest tertile (Q1) (95% CI: 1.32, 2.58, P < 0.001). However, there was no significant association with gout. RCS analysis further revealed a significant non-linear positive association, particularly among males. Subgroup analysis and interaction tests indicated a stronger association in cancer patients who did not have a history of stroke. CONCLUSION: There is a non-linear association between NHHR and HUA in cancer patients.

'Gout was like the boss'. A qualitative study exploring the impact of gout on employment.

OBJECTIVE: Previous research has identified that gout impacts various domains of daily life. However, there have been no qualitative studies focusing on employment. This study aimed to understand the impact of gout on employment. METHODS: Semistructured interviews were conducted in Spain and Aotearoa/New Zealand, in people with gout (according to the 2015 American College of Rheumatology/European Alliance of Associations for Rheumatology criteria) who had experienced a gout flare during their employment. The interviews were guided by questions exploring the impact on employment, job changes, disclosure and co-workers' reactions. Data were analysed thematically. RESULTS: Eighteen participants were interviewed (89% male, mean age 52.9 years). Six themes were identified. The characteristics of the disease (pain intensity, tophi and joints affected) and the job itself (including physical job requirement and workplace flexibility) determined the experience of working with gout. The experiences were divided into physical (from total incapacity to working despite pain), emotional (feeling responsible, embarrassment, guilt and depression) and social (including disclosure responses and financial impact). Gout management strategies including rapid gout flare management and urate-lowering therapy reduced the number of flares and the intensity of pain, and allowed work attendance and participation. CONCLUSION: Both gout and work characteristics influence the employment experience for people with gout. Effective management of gout led to improved work experiences in all its domains.

Risk of new onset hyperuricemia and chronic kidney disease after living kidney donation through propensity score matching analysis.

Living kidney donors have been regarded as those people having earned the healthiest status level after having undergone scrutiny. Although one's post-donation GFR is expected to fall to 50% of their pre-donation value, it is well documented that there is a compensatory increase in GFR which subsequently reaches approximately 60-70% of the donor's pre-donation value. Data regarding gout/hyperuricemia in living kidney donors has remained scarce until now. This study involved kidney donors enrolled within the years 2000 to 2017, where those who were selected to be matched to those in group of case cohort by age, year of index date, gender and co-morbidity were considered as the control cohort. During the 17-year study period 2,716 participants were enrolled. Results revealed that kidney donors experienced a risk of new onset gout/ hyperuricemia (adjusted HR = 1.73; 95%CI = 1.27, 2.36), and new onset CKD (adjusted HR = 6.7; 95% CI = 4.4, 10.21) were found to be higher in kidney donors. Our findings suggest that people after kidney donation are significantly associated with a higher risk of new onset gout/hyperuricemia. Clinical professionals therefore need to be cautious of new onset gouy/hyperuricemia after donation surgery.

Global, regional, and national burden of gout, 1990-2020, and projections to 2050: a systematic analysis of the Global Burden of Disease Study 2021.

BACKGROUND: Gout is an inflammatory arthritis manifesting as acute episodes of severe joint pain and swelling, which can progress to chronic tophaceous or chronic erosive gout, or both. Here, we present the most up-to-date global, regional, and national estimates for prevalence and years lived with disability (YLDs) due to gout by sex, age, and location from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021, as well as forecasted prevalence to 2050. METHODS: Gout prevalence and YLDs from 1990 to 2020 were estimated by drawing on population-based data from 35 countries and claims data from the USA and Taiwan (province of China). Nested Bayesian meta-regression models were used to estimate prevalence and YLDs due to gout by age, sex, and location. Prevalence was forecast to 2050 with a mixed-effects model. FINDINGS: In 2020, 55·8 million (95% uncertainty interval 44·4-69·8) people globally had gout, with an age-standardised prevalence of 659·3 (525·4-822·3) per 100 000, an increase of 22·5% (20·9-24·2) since 1990. Globally, the prevalence of gout in 2020 was 3·26 (3·11-3·39) times higher in males than in females and increased with age. The total number of prevalent cases of gout is estimated to reach 95·8 million (81·1-116) in 2050, with population growth being the largest contributor to this increase and only a very small contribution from the forecasted change in gout prevalence. Age-standardised gout prevalence in 2050 is forecast to be 667 (531-830) per 100 000 population. The global age-standardised YLD rate of gout was 20·5 (14·4-28·2) per 100 000 population in 2020. High BMI accounted for 34·3% (27·7-40·6) of YLDs due to gout and kidney dysfunction accounted for 11·8% (9·3-14·2). INTERPRETATION: Our forecasting model estimates that the number of individuals with gout will increase by more than 70% from 2020 to 2050, primarily due to population growth and ageing. With the association between gout disability and high BMI, dietary and lifestyle modifications focusing on bodyweight reduction are needed at the population level to reduce the burden of gout along with access to interventions to prevent and control flares. Despite the rigour of the standardised GBD methodology and modelling, in many countries, particularly low-income and middle-income countries, estimates are based on modelled rather than primary data and are also lacking severity and disability estimates. We strongly encourage the collection of these data to be included in future GBD iterations. FUNDING: Bill & Melinda Gates Foundation and the Global Alliance for Musculoskeletal Health.

Association between physical activity and the prevalence of gout among patients with type 2 diabetes mellitus and hyperuricemia: a two-center population-based cross-sectional study.

INTRODUCTION: Diabetes mellitus (DM) and gout cohabitation severely reduces patient life quality while raising financial burden on individual and society. The aim of this study was to elucidate the association between physical activity (PA) and the prevalence of gout among type 2 DM (T2DM) and hyperuricemia (HUA) patients. METHODS: In all, we recruited 2291 T2DM patients with HUA. Among them, 448 had gout and 1843 did not. We collected patient data, such as anthropometry, laboratory reports, and medical history, for our analyses. The PA assessment was based on the Chinese version of International PA Questionnaire-short (IPAQ). Moreover, the relationship between PA and gout risk was examined using multivariate logistic regression models. RESULTS: Total PA was markedly low among gout patients, relative to controls (p < 0.05). Based on the IPAQ categorical score, 38.2% exhibited "low," 26.8% "moderate," and 35.0% "high" PA among gout patients. In comparison, 12.4% performed "low," 53.8% "moderate," and 33.8% "high" PA among controls. Multivariate analysis revealed that, after adjustment of confounding factors, both low (OR 6.382) and high PA (OR 2.048) had a higher prevalence of gout, as compared to moderate PA. Moreover, we revealed that the male sex, age, HUA duration, serum uric acid, glycated hemoglobin, dyslipidemia history, and drinking status were also independent indicators of the prevalence of gout. Furthermore, stratification analyses revealed results consistent with our prior results. CONCLUSIONS: PA intensity was associated with the prevalence of gout among T2DM and HUA patients, and the lowest prevalence was achieved from moderate intensity PA. Key Points • PA intensity was associated with the prevalence of gout among T2DM and HUA patients. • The lowest prevalence of gout was achieved from moderate intensity PA.

Risk of incident gout following exposure to recombinant zoster vaccine in US adults aged ≥50 years.

OBJECTIVE: To assess whether recombinant zoster vaccine (RZV) is associated with an increased risk of new-onset gout among US adults aged ≥50 years. METHODS: We conducted a real-world, retrospective safety study with a self-controlled risk interval (SCRI) design using administrative claims data. We included health plan members aged ≥50 years with RZV exposure, followed by incident gout within 60 days. Days 1-30 following RZV exposure were considered the risk window (RW), and days 31-60 were considered the control window (CW). We estimated the risk ratio (RR) of gout in the RW versus CW, using a conditional Poisson model. The primary analysis estimated the risk of incident gout following any RZV dose. Sensitivity analyses evaluated dose 1- and dose 2-specific risks, risk among patients compliant with recommended dose spacing of 60-183 days, adjustment for seasonality, and restriction to the pre-COVID-19 era (before December 1, 2019). RESULTS: A total of 461,323 individuals received ≥1 RZV dose; we included 302 individuals (mean age 72.5 years; 66 % male) with evidence of new-onset gout within 60 days in SCRI analyses. A total of 153 (50.7 %) individuals had gout events in the RW and 149 (49.3 %) in the CW (RR 1.03; 95 % confidence interval 0.81, 1.29). All sensitivity analyses had consistent results, with no association of RZV with incident gout. CONCLUSION: In a population of US adults aged ≥50 years, there was no statistically significant increase in the risk of gout during the 30 days immediately after RZV exposure, compared with a subsequent 30-day CW.

Associations of oxidative balance score with hyperuricemia and gout among American adults: a population-based study.

Objective: The current study aimed to assess the relationships between oxidative balance score (OBS) and OBS subclasses (dietary and lifestyle OBS) with risks of hyperuricemia (HUA) and gout among American adults. Methods: Participants in the National Health and Nutrition Examination Survey from 2007 to 2018 were initially recruited and then the final sample was restricted to adults without missing values about serum uric acid, gout, OBS, and covariates. Rao-Scott adjusted chi-square test and analysis of variance were utilized to compare the baseline characteristics in adults of different quartiles of OBS, while the weighted stepped logistic regression models were used to explore the associations of overall, dietary, and lifestyle OBS with the risks of HUA and gout. Weighted restricted cubic spline analyses were conducted to explore the nonlinear dose-response associations. Results: The final sample consisted of 22,705 participants aged 20 years and older, which was representative of approximately 197.3 million non-institutionalized American adults. HUA and gout prevalence decreased with OBS quartiles. Compared with adults in the first quartile of OBS, those in the second (OR: 0.85, 95% CI: 0.72-0.99), third (OR: 0.71, 95% CI: 0.58-0.85), and fourth (OR: 0.48, 95% CI: 0.38-0.61) quartiles of OBS had reduced risks of hyperuricemia. Similarly, adults in the second (OR: 0.70, 95% CI: 0.51-0.97) quartile of OBS was associated with lower gout risk in comparison to adults in the lowest quartile. Regarding OBS subclasses, dietary and lifestyle OBS were both negatively correlated with the risk of HUA, and only higher lifestyle OBS was significantly associated with lower gout risk. Furthermore, the subgroup analyses and interaction effects also substantiated similar effects. Significant nonlinear dose-response relationships were observed between overall, dietary, and lifestyle OBS with HUA risk as well as that of lifestyle OBS with gout risk. Conclusion: This study strongly suggests the significant negative associations of OBS with HUA and gout in American adults and provides a dietary and lifestyle guideline to reduce the risks.

The Prevalence and Factors Associated with Coronary Heart Disease in Patients with Gout.

Gout is associated with increased risk of cardiovascular disease (CVD) morbidity and mortality. Therefore, an association between coronary heart disease (CHD) and gout deserves careful examination. AIM: . The aim of this study was to determine the prevalence of CHD and factors associated with CHD in patients (pts) with gout. MATERIALS AND METHODS: . The study involved 286 male patients with gout, age 51.2 [42.8; 59.4] years (ys), disease duration 6.2 [3.8; 12.1] ys. All patients underwent standard clinical examination screening traditional risk factors (TRFs) of CVDs. We estimated the adjusted odds ratio (OR) and 95% confidence interval (95% CI). RESULTS: . CHD was found in 111 out of the 286 pts (38.8%), MI had a history in 29.7%. Compared to individuals with CHD, participants without CHD were older (56.7[52.1; 61.1] vs 46.2[40.6; 53.4] ys), had longer duration of gout (9.3[4.7; 15.1] vs 5.6[3.3; 9.7] ys) (for all p < 0.05). Abdominal obesity (OR, 3.6; 95% CI, 1.2-10.9), family history of CHD (OR, 2.2; 95% CI, 1.3-3.7), disease duration of gout more 10 ys (OR, 2.8; 95% CI, 1.6-4.7), age of gout onset < 35 ys (OR, 5.5; 95% CI, 2.6-11.7), intraosseous tophi (OR, 3.03; 95% CI, 1.8-5.01), nephrolithiasis (OR, 1.7; 95% CI, 1.04-3.04), renal failure (OR, 5.6; 95% CI, 2.7-11.4), serum total cholesterol (TC), (OR, 1.6; 95% CI, 1.0-2.8), serum creatinine (OR, 2.5; 95% CI, 1.2-5.1), increased the risk for CHD in patients with a gout. CONCLUSIONS: . The prevalence of CHD was 38.8% among individuals with gout (one-third of patients had a history of MI 29.7%). Our study showed that both TRFs of CVD and the severity of gout and a history of renal failure contribute to the development of CHD in patients with gout.