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Kim H, Do H, Son CN, Jang JW, Choi SS, Moon KW. Effects of Genetic Risk and Lifestyle Habits on Gout: A Korean Cohort Study. J Korean Med Sci 2025; 40:e1. [PMID: 39807002 PMCID: PMC11729237 DOI: 10.3346/jkms.2025.40.e1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2024] [Accepted: 09/19/2024] [Indexed: 01/16/2025] Open
Abstract
BACKGROUND Gout is a type of inflammatory arthritis caused by monosodium urate crystal deposits, and the prevalence of this condition has been increasing. This study aimed to determine the combined effects of genetic risk factors and lifestyle habits on gout, using data from a Korean cohort study. Identifying high-risk individuals in advance can help prevent gout and its associated disorders. METHODS We analyzed data from the Korean Genome and Epidemiology Study-Urban Health Examinees cohort (KoGES-HEXA). Genetic information of the participants was collected at baseline, and gout cases were identified based on patient statements. The polygenic risk score (PRS) was calculated using nine independent genome-wide association study datasets, and lifestyle factors and metabolic syndrome status were measured for each participant using the KoGES. Logistic regression models were used to estimate the odds ratios (ORs) for gout in relation to genetic risk, lifestyle habits, and metabolic health status, after adjusting for age and sex. RESULTS Among 44,605 participants, 617 were diagnosed with gout. Gout was associated with older age, higher body mass index, and higher prevalence of hypertension, diabetes, and hypertriglyceridemia. High PRS, unfavorable lifestyle habits, and poor metabolic profiles were significantly associated with an increased risk of gout. Compared with that in the low-genetic-risk and healthy lifestyle group or ideal metabolic profile group, the risk of gout was increased in the high-genetic-risk plus unfavorable lifestyle (OR, 3.64; 95% confidence interval [CI], 2.32-6.03) or poor metabolic profile (OR, 7.78; 95% CI, 4.61-13.40) group. Conversely, adherence to favorable lifestyle habits significantly reduced gout risk, especially in high-genetic-risk groups. CONCLUSION Genetic predisposition and unhealthy lifestyle habits significantly increase the risk of gout. Promoting healthy lifestyle habits is crucial to prevent the development of gout, particularly in individuals with high genetic susceptibility.
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Affiliation(s)
- Hyunjung Kim
- Division of Biomedical Convergence, College of Biomedical Science, Institute of Bioscience & Biotechnology, Kangwon National University, Chuncheon, Korea
| | - Hyunsue Do
- Division of Rheumatology, Department of Internal Medicine, Kangwon National University School of Medicine, Chuncheon, Korea
| | - Chang-Nam Son
- Eulji Rheumatology Research Institute, Eulji University School of Medicine, Uijeongbu, Korea
| | - Jae-Won Jang
- Department of Neurology, Kangwon National University School of Medicine, Chuncheon, Korea
- Department of Medical Bigdata Convergence, Kangwon National University, Chuncheon, Korea
| | - Sun Shim Choi
- Division of Biomedical Convergence, College of Biomedical Science, Institute of Bioscience & Biotechnology, Kangwon National University, Chuncheon, Korea.
| | - Ki Won Moon
- Division of Rheumatology, Department of Internal Medicine, Kangwon National University School of Medicine, Chuncheon, Korea
- Department of Medical Bigdata Convergence, Kangwon National University, Chuncheon, Korea.
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Lyu JQ, Miao MY, Wang JM, Qian YW, Han WW, Peng XZ, Tao HW, Yang J, Chen JS, Qin LQ, Chen W, Chen GC. Consumption of Total and Specific Alcoholic Beverages and Long-Term Risk of Gout Among Men and Women. JAMA Netw Open 2024; 7:e2430700. [PMID: 39196557 PMCID: PMC11358860 DOI: 10.1001/jamanetworkopen.2024.30700] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Accepted: 06/30/2024] [Indexed: 08/29/2024] Open
Abstract
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.
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Affiliation(s)
- Jie-Qiong Lyu
- Department of Nutrition and Food Hygiene, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Major Chronic Non-communicable Diseases, Suzhou Medical College of Soochow University, Suzhou, China
- MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou, China
| | - Meng-Yuan Miao
- Department of Nutrition and Food Hygiene, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Major Chronic Non-communicable Diseases, Suzhou Medical College of Soochow University, Suzhou, China
- MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou, China
| | - Jia-Min Wang
- Department of Nutrition and Food Hygiene, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Major Chronic Non-communicable Diseases, Suzhou Medical College of Soochow University, Suzhou, China
- MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou, China
| | - Yu-Wen Qian
- Department of Nutrition and Food Hygiene, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Major Chronic Non-communicable Diseases, Suzhou Medical College of Soochow University, Suzhou, China
- MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou, China
| | - Wen-Wen Han
- Department of Nutrition and Food Hygiene, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Major Chronic Non-communicable Diseases, Suzhou Medical College of Soochow University, Suzhou, China
- MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou, China
| | - Xian-Zhen Peng
- Department of Public Health, Kangda College of Nanjing Medical University, Lianyungang, China
| | - Hao-Wei Tao
- Department of Nutrition and Food Hygiene, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Major Chronic Non-communicable Diseases, Suzhou Medical College of Soochow University, Suzhou, China
- MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou, China
| | - Jing Yang
- Department of Clinical Nutrition, The First Affiliated Hospital of Soochow University, Suzhou, China
| | - Jing-Si Chen
- Department of Nutrition and Food Hygiene, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Major Chronic Non-communicable Diseases, Suzhou Medical College of Soochow University, Suzhou, China
- MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou, China
| | - Li-Qiang Qin
- Department of Nutrition and Food Hygiene, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Major Chronic Non-communicable Diseases, Suzhou Medical College of Soochow University, Suzhou, China
- MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou, China
| | - Wei Chen
- Department of Clinical Nutrition, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Guo-Chong Chen
- Department of Nutrition and Food Hygiene, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Major Chronic Non-communicable Diseases, Suzhou Medical College of Soochow University, Suzhou, China
- MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou, China
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Chang C, Siu A, Kimata C, Sawada H, Mak VP, Lim SY. Gout in Native Hawaiian Patients in Hawai'i: Clinical Characteristics and Disparities. Arthritis Care Res (Hoboken) 2024; 76:712-719. [PMID: 38163751 DOI: 10.1002/acr.25289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 11/05/2023] [Accepted: 12/28/2023] [Indexed: 01/03/2024]
Abstract
OBJECTIVE The purpose of this study was to investigate differences in clinical characteristics and health care use of Native Hawaiian and White patients with gout. METHODS We performed a retrospective chart review of Native Hawaiian and White patients with gout treated from 2011 to 2017 within a large health care system in Hawai'i. We compared demographic characteristics, clinical outcomes, and risk factors for gout. We used multivariable logistic regression to identify predictive factors of emergency department visits. RESULTS We identified 270 Native Hawaiian patients with gout and 239 White patients with gout. The Native Hawaiian patients were younger on average (54.0 vs 64.0 years; P < 0.0001) and had an earlier onset of disease (50.0 vs 57.0 years; P < 0.0001). Native Hawaiian patients with gout had higher mean (7.58 vs 6.87 mg/dL; P < 0.0001) and maximum (10.30 vs 9.50 mg/dL; P < 0.0001) serum urate levels compared to White patients with gout. Native Hawaiian patients with gout also had a greater number of tophi (median 2.00 vs 1.00; P < 0.0001). Native Hawaiians patients with gout were 2.7 times more likely to have frequent (≥1) emergency department visits than White patients with gout. Native Hawaiian patients with gout were less likely to have a therapeutic serum urate ≤6.0 mg/dL and had lower rates of rheumatology specialty care. CONCLUSION Native Hawaiian patients have a higher disease burden of gout, with earlier disease onset and more tophi. Native Hawaiian patients with gout are more likely to use emergency services for gout and have lower rates of rheumatology specialty care compared to White patients. Future studies are needed to promote culturally appropriate preventive care and management of gout in Native Hawaiians.
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Affiliation(s)
- Celia Chang
- Washington University in St. Louis, St. Louis, Missouri
| | | | | | | | - Victoria P Mak
- University of Hawai'i Cancer Center and University of Hawai'I, Honolulu
| | - Sian Yik Lim
- Hawai'i Pacific Health and University of Hawai'i, Honolulu
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Helget LN, O’Dell JR, Newcomb JA, Androsenko M, Brophy MT, Davis-Karim A, England BR, Ferguson R, Pillinger MH, Neogi T, Palevsky PM, Wu H, Kramer B, Mikuls TR. Determinants of Achieving Serum Urate Goal with Treat-to-Target Urate-Lowering Therapy in Gout. Arthritis Rheumatol 2024; 76:638-646. [PMID: 37842953 PMCID: PMC10965366 DOI: 10.1002/art.42731] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 09/22/2023] [Accepted: 10/12/2023] [Indexed: 10/17/2023]
Abstract
OBJECTIVE Using trial data comparing treat-to-target allopurinol and febuxostat in gout, we examined participant characteristics associated with serum urate (SU) goal achievement. METHODS Participants with gout and SU ≥6.8 mg/dL were randomized to allopurinol or febuxostat, titrated during weeks 0 to 24, and maintained weeks 25 to 48. Participants were considered to achieve SU goal if the mean SU from weeks 36, 42, and 48 was <6.0 mg/dL or <5 mg/dL if tophi were present. Possible determinants of treatment response were preselected and included sociodemographics, comorbidities, diuretic use, health-related quality of life (HRQoL), body mass index, and gout measures. Determinants of SU response were assessed using multivariable logistic regression with additional analyses to account for treatment adherence. RESULTS Of 764 study participants completing week 48, 618 (81%) achieved SU goal. After multivariable adjustment, factors associated with a greater likelihood of SU goal achievement included older age (adjusted odds ratio [aOR] 1.40 per 10 years), higher education (aOR 2.02), and better HRQoL (aOR 1.17 per 0.1 unit). Factors associated with a lower odds of SU goal achievement included non-White race (aORs 0.32-0.47), higher baseline SU (aOR 0.83 per 1 mg/dL), presence of tophi (aOR 0.29), and the use of diuretics (aOR 0.52). Comorbidities including chronic kidney disease, hypertension, diabetes, and cardiovascular disease were not associated with SU goal achievement. Results were not meaningfully changed in analyses accounting for adherence. CONCLUSIONS Several patient-level factors were predictive of SU goal achievement among patients with gout who received treat-to-target urate-lowering therapy (ULT). Approaches that accurately predict individual responses to treat-to-target ULT hold promise in facilitating personalized management and improving outcomes in patients with gout.
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Affiliation(s)
- Lindsay N. Helget
- Veterans Affairs (VA) Nebraska-Western Iowa Health Care System, Omaha, NE
- Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE
| | - James R. O’Dell
- Veterans Affairs (VA) Nebraska-Western Iowa Health Care System, Omaha, NE
- Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE
| | - Jeff A. Newcomb
- Veterans Affairs (VA) Nebraska-Western Iowa Health Care System, Omaha, NE
- Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE
| | - Maria Androsenko
- VA Boston Cooperative Studies Program Coordinating Center, Boston, MA
| | - Mary T. Brophy
- VA Boston Cooperative Studies Program Coordinating Center, Boston, MA
- Boston University Chobanian & Avedisian School of Medicine, Boston, MA
| | - Anne Davis-Karim
- VA Cooperative Studies Program Clinical Research Pharmacy Coordinating Center, Albuquerque, NM
| | - Bryant R. England
- Veterans Affairs (VA) Nebraska-Western Iowa Health Care System, Omaha, NE
- Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE
| | - Ryan Ferguson
- VA Boston Cooperative Studies Program Coordinating Center, Boston, MA
- Boston University Chobanian & Avedisian School of Medicine, Boston, MA
| | - Michael H. Pillinger
- VA New York Harbor Health Care System, New York, NY
- NYU Grossman School of Medicine, New York, NY
| | - Tuhina Neogi
- Boston University Chobanian & Avedisian School of Medicine, Boston, MA
| | - Paul M. Palevsky
- VA Pittsburgh Health Care System, Pittsburgh, PA
- University of Pittsburgh School of Medicine, Pittsburgh, PA
| | - Hongsheng Wu
- VA Boston Cooperative Studies Program Coordinating Center, Boston, MA
- Babson College, Wellesley, MA
| | - Bridget Kramer
- Veterans Affairs (VA) Nebraska-Western Iowa Health Care System, Omaha, NE
- Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE
| | - Ted R. Mikuls
- Veterans Affairs (VA) Nebraska-Western Iowa Health Care System, Omaha, NE
- Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE
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Abstract
PURPOSE OF REVIEW Gout, the most common type of inflammatory arthritis in the world, is characterized by painful episodes of arthritis linked by asymptomatic intercritical periods of hyperuricemia. Once characterized as a disease of wealthy white men, contemporary evidence demonstrates gout disproportionately afflicts racial/ethnic minorities, Indigenous populations and other underrepresented groups leading to significant health disparities. RECENT FINDINGS Herein, we review the current literature reporting a higher incidence and prevalence of gout in racial/ethnic minorities and Indigenous populations, in addition to a growing gout burden reported in females. We also examine how these population are more likely to receive suboptimal treatment for flares and chronic phases of gout. Additionally, we examine biologic and social health determinants that may be contributing to these findings. SUMMARY Racial/ethnic minorities, Indigenous populations, and females have experienced a disproportionate rise in the prevalence and incidence of gout in recent years, are more likely to seek acute medical care and are less likely to receive optimal long-term care for gout with urate lowering therapy. Mechanisms underpinning these findings appear to be multifactorial and include differences in social determinants of care and in some cases may be due to population differences in select biologic factors such as differences in age, sex, genetics.
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Affiliation(s)
- Lindsay N Helget
- Veterans Affairs Nebraska-Western Iowa Healthcare System
- Department of Internal Medicine, University of Nebraska Medical Center, Omaha, Nebraska, USA
| | - Ted R Mikuls
- Veterans Affairs Nebraska-Western Iowa Healthcare System
- Department of Internal Medicine, University of Nebraska Medical Center, Omaha, Nebraska, USA
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Sheu KL, Chen CC, Chen SC. Factors affecting serum urate monitoring among older adults with gout initiating urate-lowering therapy: comment on the article by Kwok et al. Arthritis Care Res (Hoboken) 2023; 75:2539-2540. [PMID: 37380601 DOI: 10.1002/acr.25177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 06/07/2023] [Indexed: 06/30/2023]
Affiliation(s)
- Kai-Lun Sheu
- Chung Shan Medical University School of Medicine and Chung Shan Medical University Hospital Health Management Center, Taichung, Taiwan
| | - Chun-Chieh Chen
- Chung Shan Medical University School of Medicine and Chung Shan Medical University Hospital Health Management Center, Taichung, Taiwan
| | - Shiuan-Chih Chen
- Chung Shan Medical University School of Medicine and Chung Shan Medical University Hospital Health Management Center, Taichung, Taiwan
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Yokose C, McCormick N, Lu N, Joshi AD, Jackson L, Kohler MJ, Yinh J, Zhang Y, Hsu J, Dalbeth N, Saag KG, Choi HK. Nationwide racial/ethnic disparities in US emergency department visits and hospitalizations for gout. Rheumatology (Oxford) 2023; 62:2247-2251. [PMID: 36218483 PMCID: PMC10234199 DOI: 10.1093/rheumatology/keac590] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 09/12/2022] [Accepted: 10/04/2022] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVES Gout prevalence is reportedly ∼20% higher in US Black adults than Whites, but racial differences in emergency department (ED) visits and hospitalizations for gout are unknown. We evaluated the latest US national utilization datasets according to racial/ethnic groups. METHODS Using 2019 US National Emergency Department Sample and National Inpatient Sample databases, we compared racial/ethnic differences in annual population rates of ED visits and hospitalizations for gout (primary discharge diagnosis) per 100 000 US adults (using 2019 age- and sex-specific US census data). We also examined rates of ED visits and hospitalizations for gout among all US ED visits/hospitalizations and mean costs for each gout encounter. RESULTS Compared with White patients, the per capita age- and sex-adjusted rate ratio (RR) of gout primary ED visits for Black patients was 5.01 (95% CI 4.96, 5.06), for Asian patients 1.29 (1.26, 1.31) and for Hispanic patients 1.12 (1.10, 1.13). RRs for gout primary hospitalizations were 4.07 (95% CI 3.90, 4.24), 1.46 (1.34, 1.58) and 1.06 (0.99, 1.13), respectively. Corresponding RRs among total US hospitalizations were 3.17 (95% CI 2.86, 3.50), 3.23 (2.71, 3.85) and 1.43 (1.21, 1.68) and among total ED visits were 2.66 (95% CI, 2.50, 2.82), 3.28 (2.64, 4.08), and 1.14 (1.05, 1.24), respectively. RRs were largest among Black women. Costs for ED visits and hospitalizations experienced by race/ethnicity showed similar disparities. CONCLUSIONS These first nationwide data found a substantial excess in both gout primary ED visits and hospitalizations experienced by all underserved racial/ethnic groups, particularly by Black women, revealing an urgent need for improved care to eliminate inequities in gout outcomes.
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Affiliation(s)
- Chio Yokose
- Division of Rheumatology, Department of Medicine, Allergy, and Immunology, Massachusetts General Hospital, Boston, MA, USA
- Clinical Epidemiology Program, Mongan Institute, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Natalie McCormick
- Division of Rheumatology, Department of Medicine, Allergy, and Immunology, Massachusetts General Hospital, Boston, MA, USA
- Clinical Epidemiology Program, Mongan Institute, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Arthritis Research Canada, Vancouver, BC, Canada
| | - Na Lu
- Arthritis Research Canada, Vancouver, BC, Canada
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Amit D Joshi
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Lesley Jackson
- Division of Clinical Immunology and Rheumatology, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Minna J Kohler
- Division of Rheumatology, Department of Medicine, Allergy, and Immunology, Massachusetts General Hospital, Boston, MA, USA
| | - Janeth Yinh
- Division of Rheumatology, Department of Medicine, Allergy, and Immunology, Massachusetts General Hospital, Boston, MA, USA
| | - Yuqing Zhang
- Division of Rheumatology, Department of Medicine, Allergy, and Immunology, Massachusetts General Hospital, Boston, MA, USA
- Clinical Epidemiology Program, Mongan Institute, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - John Hsu
- Mongan Institute, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Department of Health Care Policy, Harvard Medical School, Boston, MA, USA
| | - Nicola Dalbeth
- Department of Medicine, University of Auckland, Auckland, New Zealand
| | - Kenneth G Saag
- Division of Clinical Immunology and Rheumatology, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Hyon K Choi
- Division of Rheumatology, Department of Medicine, Allergy, and Immunology, Massachusetts General Hospital, Boston, MA, USA
- Clinical Epidemiology Program, Mongan Institute, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Arthritis Research Canada, Vancouver, BC, Canada
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Yokose C, McCormick N, Lu N, Tanikella S, Lin K, Joshi AD, Raffield LM, Warner E, Merriman T, Hsu J, Saag K, Zhang Y, Choi HK. Trends in Prevalence of Gout Among US Asian Adults, 2011-2018. JAMA Netw Open 2023; 6:e239501. [PMID: 37083663 PMCID: PMC10122173 DOI: 10.1001/jamanetworkopen.2023.9501] [Citation(s) in RCA: 45] [Impact Index Per Article: 22.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Accepted: 02/17/2023] [Indexed: 04/22/2023] Open
Abstract
Importance Gout disparities among Black individuals in the US have recently been explained by socioclinical factors; however, no information is available among Asian individuals living in Western countries, despite their disproportionately worsening metabolic health. Objective To determine the prevalence of gout and serum urate concentrations according to race and ethnicity and to explore the association of social determinants of health and clinical factors. Design, Setting, and Participants This is a population-based, cross-sectional analysis. Data from a nationally representative sample of US adults were obtained from the National Health and Nutrition Examination Survey (NHANES) (2011-2018) in which Asian race data were collected (primary). Data from the UK Biobank (2006-2021) were used for replication of the Asian vs White differences. Data analysis was performed from December 2021 to September 2022. Main Outcomes and Measures Race-specific gout prevalence and serum urate levels. Results A total of 22 621 participants from NHANES (2011-2018) were included in the analysis (mean [SD] age, 49.8 [17.8] years; 10 948 male participants [48.4%]). In 2017 to 2018, gout affected 12.1 million US individuals, with its crude prevalence increasing from 3.6% (95% CI, 2.8%-4.5%) in 2011 to 2012 to 5.1% (95% CI, 4.2%-5.9%) in 2017 to 2018 (P for trend = .03); this trend was no longer significant after age adjustment (P for trend = .06) or excluding Asian individuals (P for trend = .11). During the same period, age- and sex-adjusted prevalence among Asian Americans doubled from 3.3% (95% CI, 2.1%-4.5%) to 6.6% (95% CI, 4.4%-8.8%) (P for trend = .007) to numerically exceed all other racial and ethnic groups in 2017 to 2018, with age- and sex-adjusted odds ratio (ORs) of 1.61 (95% CI, 1.03-2.51) and a socioclinical factor-adjusted multivariable OR of 2.62 (95% CI, 1.59-4.33) for Asian vs White individuals. The latest age- and sex-adjusted gout prevalence among US individuals aged 65 years and older was 10.0% among White individuals and 14.8% among Asian individuals (including 23.6% of Asian men). Serum urate concentrations also increased between 2011 and 2018 among US Asian individuals (P for trend = .009). The Asian vs White disparity was also present in the UK Biobank. Conclusions and Relevance The findings of this study suggest that the prevalence of gout among Asian individuals numerically surpassed that for all other racial and ethnic groups in 2017 to 2018. This Asian vs White disparity did not appear to be associated with socioclinical factors.
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Affiliation(s)
- Chio Yokose
- Clinical Epidemiology Program, Division of Rheumatology, Allergy, and Immunology, Massachusetts General Hospital, Boston
- The Mongan Institute, Department of Medicine, Massachusetts General Hospital, Boston
| | - Natalie McCormick
- Clinical Epidemiology Program, Division of Rheumatology, Allergy, and Immunology, Massachusetts General Hospital, Boston
- The Mongan Institute, Department of Medicine, Massachusetts General Hospital, Boston
- Arthritis Research Canada, Vancouver, British Columbia, Canada
| | - Na Lu
- Arthritis Research Canada, Vancouver, British Columbia, Canada
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Sruthi Tanikella
- Clinical Epidemiology Program, Division of Rheumatology, Allergy, and Immunology, Massachusetts General Hospital, Boston
- The Mongan Institute, Department of Medicine, Massachusetts General Hospital, Boston
| | - Kehuan Lin
- Clinical Epidemiology Program, Division of Rheumatology, Allergy, and Immunology, Massachusetts General Hospital, Boston
- The Mongan Institute, Department of Medicine, Massachusetts General Hospital, Boston
| | - Amit D. Joshi
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
- Regeneron Pharmaceuticals, Tarrytown, New York
| | | | - Erica Warner
- The Mongan Institute, Department of Medicine, Massachusetts General Hospital, Boston
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston
- Harvard/MGH Center on Genomics, Vulnerable Populations, and Health Disparities, Boston, Massachusetts
| | - Tony Merriman
- Division of Clinical Immunology and Rheumatology, the University of Alabama, Birmingham
- Department of Biochemistry, University of Otago, Dunedin, New Zealand
| | - John Hsu
- The Mongan Institute, Department of Medicine, Massachusetts General Hospital, Boston
- Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts
| | - Kenneth Saag
- Division of Clinical Immunology and Rheumatology, the University of Alabama, Birmingham
| | - Yuqing Zhang
- Clinical Epidemiology Program, Division of Rheumatology, Allergy, and Immunology, Massachusetts General Hospital, Boston
- The Mongan Institute, Department of Medicine, Massachusetts General Hospital, Boston
| | - Hyon K. Choi
- Clinical Epidemiology Program, Division of Rheumatology, Allergy, and Immunology, Massachusetts General Hospital, Boston
- The Mongan Institute, Department of Medicine, Massachusetts General Hospital, Boston
- Arthritis Research Canada, Vancouver, British Columbia, Canada
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9
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Tan LF, Li H, Pan A, Teng GG, Koh WP. Association between gout at midlife and cognitive impairment at late life - The Singapore Chinese Health Study. Arch Gerontol Geriatr 2023; 111:104996. [PMID: 36958148 DOI: 10.1016/j.archger.2023.104996] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 03/03/2023] [Accepted: 03/06/2023] [Indexed: 03/13/2023]
Abstract
OBJECTIVES The association between gout and risk of cognitive impairment or dementia is not well established. We examined the relationship between having gout at midlife and the risk of developing cognitive impairment later on. METHODS We used data of 16,948 participants from the population-based Singapore Chinese Health Study cohort. Participants were recruited from 1993 to 1998 at mean age of 53 years and re-contacted for three follow-up interviews: 1999 to 2004 for follow-up 1, 2006 to 2010 for follow-up 2, and 2014 to 2016 for follow-up 3. History of physician-diagnosed gout was self-reported at follow-up 1 and follow-up 2, while cognitive function was assessed with the Singapore modified Mini-Mental State Examination during follow-up 3, when participants had a mean age of 73.2 years. RESULTS Gout was reported by 1281 (7.6%) participants at either follow-up 1 or 2, and 2243 (14.4%) had cognitive impairment at follow-up 3. A history of gout was associated with reduced risk of cognitive impairment (OR 0.78, 95% CI 0.65-0.93). This risk was reduced in a stepwise manner with either increased duration of gout or lower age at first diagnosis of gout (Ptrend <0.001). Compared to those without gout, those with gout for ≥20 years (OR 0.56, 95% CI 0.39-0.80) and those with age of onset of gout <50 years old (OR 0.59, 95% CI 0.37-0.94) had a lower risk of developing cognitive impairment. CONCLUSION A young age of onset or a long history of gout was associated with reduced risk of cognitive impairment in late life.
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Affiliation(s)
- Li Feng Tan
- Healthy Ageing Programme, Alexandra Hospital, National University Health System, Singapore
| | - Huiqi Li
- Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - An Pan
- Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Gim Gee Teng
- Chronic Programme, Alexandra Hospital, National University Health System, Singapore; Division of Rheumatology, Department of Medicine, National University Hospital, National University Health System, Singapore.
| | - Woon-Puay Koh
- Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Singapore Institute for Clinical Sciences, Agency for Science Technology and Research (A*STAR), Singapore
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Amiri F, Kolahi AA, Nejadghaderi SA, Noori M, Khabbazi A, Sullman MJM, Kaufman JS, Collins GS, Safiri S. The Burden of Gout and Its Attributable Risk Factors in the Middle East and North Africa Region, 1990 to 2019. J Rheumatol 2023; 50:107-116. [PMID: 36455948 DOI: 10.3899/jrheum.220425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/03/2022] [Indexed: 02/08/2023]
Abstract
OBJECTIVE This study reported the burden of gout and its attributable risk factors in the Middle East and North Africa (MENA) region between 1990 and 2019 by age, sex, and sociodemographic index (SDI). METHODS Data on the prevalence, incidence, and years lived with disability (YLD) due to gout were obtained from the Global Burden of Disease 2019 study for the 21 countries in the MENA region, from 1990 to 2019. RESULTS In 2019, the regional age-standardized point prevalence and annual incidence rates of gout were 509.1 and 97.7 per 100,000 population, which represent a 12% and 11.1% increase since 1990, respectively. Moreover, in 2019 the regional age-standardized YLD rate was 15.8 per 100,000 population, an 11.7% increase since 1990. In 2019, Qatar and Afghanistan had the highest and lowest age-standardized YLD rates, respectively. Regionally, the age-standardized point prevalence of gout increased with age up to the oldest age group, and it was more prevalent among males in all age groups. In addition, there was an overall positive association between SDI and the burden of gout between 1990 and 2019. In 2019, high BMI (46.1%) was the largest contributor to the burden of gout in the MENA region. CONCLUSION There were large intercountry variations in the burden of gout, but in general, it has increased in MENA over the last 3 decades. This increase is in line with the global trends of gout. However, the age-standardized YLD rate change was higher in MENA than at the global level.
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Affiliation(s)
- Fatemeh Amiri
- F. Amiri, MD, Student Research Committee, and Department of Community Medicine, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Ali-Asghar Kolahi
- A.A. Kolahi, MD, Social Determinants of Health Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran;
| | - Seyed Aria Nejadghaderi
- S.A. Nejadghaderi, MD, Research Center for Integrative Medicine in Aging, Aging Research Institute, Tabriz University of Medical Sciences, Tabriz, and Systematic Review and Meta-analysis Expert Group (SRMEG), Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Maryam Noori
- M. Noori, MD, Student Research Committee, School of Medicine, Iran University of Medical Sciences, and Urology Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Alireza Khabbazi
- A. Khabbazi, MD, Connective Tissue Diseases Research Center, and Department of Internal Medicine, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Mark J M Sullman
- M.J.M. Sullman, PhD, Department of Life and Health Sciences, and Department of Social Sciences, University of Nicosia, Nicosia, Cyprus
| | - Jay S Kaufman
- J.S. Kaufman, PhD, Department of Epidemiology, Biostatistics and Occupational Health, Faculty of Medicine, McGill University, Montreal, Quebec, Canada
| | - Gary S Collins
- G.S. Collins, PhD, Centre for Statistics in Medicine, NDORMS, Botnar Research Centre, University of Oxford, and NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Saeid Safiri
- S. Safiri, PhD, Connective Tissue Diseases Research Center, and Department of Community Medicine, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.
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Affiliation(s)
- Ted R Mikuls
- From the Department of Internal Medicine, Division of Rheumatology, University of Nebraska Medical Center, and the VA Nebraska-Western Iowa Health Care System - both in Omaha
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12
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McCormick N, Lu N, Yokose C, Joshi AD, Sheehy S, Rosenberg L, Warner ET, Dalbeth N, Merriman TR, Saag KG, Zhang Y, Choi HK. Racial and Sex Disparities in Gout Prevalence Among US Adults. JAMA Netw Open 2022; 5:e2226804. [PMID: 35969396 PMCID: PMC9379746 DOI: 10.1001/jamanetworkopen.2022.26804] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Accepted: 06/27/2022] [Indexed: 12/22/2022] Open
Abstract
Importance Emerging data suggest gout and hyperuricemia may now be more frequent among Black adults in the US than White adults, especially Black women. However, national-level, sex-specific general population data on racial differences in gout prevalence and potential socioclinical risk factors are lacking. Objective To identify sex-specific factors driving disparities between Black and White adults in contemporary gout prevalence in the US general population. Design, Setting, and Participants This cross-sectional analysis used nationally representative, decadal survey data from successive cycles of the National Health and Nutrition Examination Survey from 2007 to 2016. Data were analyzed from November 1, 2019, through May 31, 2021. Participants included US adults self-reporting Black or White race. Exposures Self-reported race, excess body mass index, chronic kidney disease (CKD; defined as estimated glomerular filtration rate <60 mL/min/1.73 m2, according to latest equations without race coefficient), poverty, poor-quality diet, low educational level, alcohol consumption, and diuretic use. Main Outcomes and Measures Race- and sex-specific prevalence of physician- or clinician-diagnosed gout and hyperuricemia and their differences before and after adjusting for potential socioclinical risk factors. Results A total of 18 693 participants were included in the analysis, consisting of 3304 Black women (mean [SD] age, 44.8 [0.4] years), 6195 White women (mean [SD] age, 49.8 [0.3] years), 3085 Black men (mean [SD] age, 43.6 [0.5] years]), and 6109 White men (mean [SD] age, 48.2 [0.3] years). Age-standardized prevalence of gout was 3.5% (95% CI, 2.7%-4.3%) in Black women and 2.0% (95% CI, 1.5%-2.5%) in White women (age-adjusted odds ratio [OR], 1.81 [95% CI, 1.29-2.53]); prevalence was 7.0% (95% CI, 6.2%-7.9%) in Black men and 5.4% (95% CI, 4.7%-6.2%) in White men (age-adjusted OR, 1.26 [95% CI, 1.02-1.55]). These associations attenuated after adjusting for poverty, diet, body mass index, and CKD among women and for diet and CKD among men but became null after adjusting for all risk factors (ORs, 1.05 [95% CI, 0.67-1.65] among women and 1.05 [95% CI, 0.80-1.35] among men). Hyperuricemia end point findings were similar. Conclusions and Relevance In this nationally representative race- and sex-specific cross-sectional study of US adults, gout was more prevalent in adults self-reporting Black race during a recent 10-year period compared with their White counterparts. These racial differences may be explained by sex-specific differences in diet and social determinants of health and clinical factors. Culturally informed efforts focusing on these factors could reduce current gout-related disparities.
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Affiliation(s)
- Natalie McCormick
- Clinical Epidemiology Program, Division of Rheumatology, Allergy, and Immunology, Massachusetts General Hospital, Boston
- Mongan Institute, Department of Medicine, Massachusetts General Hospital, Boston
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
- Arthritis Research Canada, Vancouver, British Columbia
| | - Na Lu
- Arthritis Research Canada, Vancouver, British Columbia
| | - Chio Yokose
- Clinical Epidemiology Program, Division of Rheumatology, Allergy, and Immunology, Massachusetts General Hospital, Boston
- Mongan Institute, Department of Medicine, Massachusetts General Hospital, Boston
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Amit D. Joshi
- Mongan Institute, Department of Medicine, Massachusetts General Hospital, Boston
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston
| | - Shanshan Sheehy
- Slone Epidemiology Center at Boston University, Boston, Massachusetts
| | - Lynn Rosenberg
- Slone Epidemiology Center at Boston University, Boston, Massachusetts
| | - Erica T. Warner
- Mongan Institute, Department of Medicine, Massachusetts General Hospital, Boston
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston
- Harvard/MGH Center on Genomics, Vulnerable Populations, and Health Disparities, Boston, Massachusetts
| | - Nicola Dalbeth
- Department of Medicine, University of Auckland, Auckland, New Zealand
| | - Tony R. Merriman
- Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham
- Department of Biochemistry, University of Otago, Dunedin, New Zealand
| | - Kenneth G. Saag
- Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham
| | - Yuqing Zhang
- Clinical Epidemiology Program, Division of Rheumatology, Allergy, and Immunology, Massachusetts General Hospital, Boston
- Mongan Institute, Department of Medicine, Massachusetts General Hospital, Boston
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Hyon K. Choi
- Clinical Epidemiology Program, Division of Rheumatology, Allergy, and Immunology, Massachusetts General Hospital, Boston
- Mongan Institute, Department of Medicine, Massachusetts General Hospital, Boston
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
- Arthritis Research Canada, Vancouver, British Columbia
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13
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Affiliation(s)
- Natalie McCormick
- N. McCormick, H.K. Choi, MD, DrPH, Clinical Epidemiology Program, Division of Rheumatology, Allergy, and Immunology, and Mongan Institute, Department of Medicine, Massachusetts General Hospital, and Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA, and Arthritis Research Canada, Vancouver, British Columbia, Canada
| | - Hyon K Choi
- N. McCormick, H.K. Choi, MD, DrPH, Clinical Epidemiology Program, Division of Rheumatology, Allergy, and Immunology, and Mongan Institute, Department of Medicine, Massachusetts General Hospital, and Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA, and Arthritis Research Canada, Vancouver, British Columbia, Canada
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14
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Choi HG, Kwon BC, Kwon MJ, Kim JH, Kim JH, Park B, Lee JW. Association between Gout and Dyslipidemia: A Nested Case-Control Study Using a National Health Screening Cohort. J Pers Med 2022; 12:jpm12040605. [PMID: 35455721 PMCID: PMC9032264 DOI: 10.3390/jpm12040605] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 03/31/2022] [Accepted: 04/06/2022] [Indexed: 01/25/2023] Open
Abstract
The association between lipid levels and uric acid disorders remains controversial. We evaluated the association between dyslipidemia and gout in a large cohort from the Korean National Health Insurance Service-Health Screening Cohort. Among the 514,866 participants aged ≥40 years, 16,679 gout participants were selected and matched with 66,716 control participants for income, region of residence, sex, and age. We used the ICD-10 codes to define dyslipidemia (E78) and gout (M10) and diagnosis was confirmed when each was reported ≥2 times. The odds ratios (ORs) of dyslipidemia history were calculated using conditional logistic regression in crude, partial, and fully adjusted models. The days of statin use, systolic and diastolic blood pressure, fasting glucose level, total cholesterol, obesity, Charlson comorbidity index, alcohol consumption, and smoking were used as covariates. Patients with gout had a significantly higher dyslipidemia history than those without gout (33.1% vs. 24.0%, p < 0.001). The association was significant after adjustment (OR in partial adjusted model = 1.50, 95% confidence interval (CI) = 1.44−1.57; OR in fully adjusted model = 1.43, 95% CI = 1.37−1.49). These findings were consistent with the subgroup analysis. Our findings suggest that dyslipidemia history is more likely in patients with gout aged ≥40 years than in healthy controls among Korean population.
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Affiliation(s)
- Hyo Geun Choi
- Department of Otorhinolaryngology-Head & Neck Surgery, Hallym University College of Medicine, Anyang 14068, Korea; (H.G.C.); (B.P.)
- Hallym Data Science Laboratory, Hallym University College of Medicine, Anyang 14068, Korea
| | - Bong-Cheol Kwon
- Department of Orthopedic Surgery, Hallym University College of Medicine, Anyang 14068, Korea;
| | - Mi Jung Kwon
- Department of Pathology, Hallym University College of Medicine, Anyang 14068, Korea;
| | - Ji Hee Kim
- Department of Neurosurgery, Hallym University College of Medicine, Anyang 14068, Korea;
| | - Joo-Hee Kim
- Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Internal Medicine, Hallym University College of Medicine, Anyang 14068, Korea;
| | - Bumjung Park
- Department of Otorhinolaryngology-Head & Neck Surgery, Hallym University College of Medicine, Anyang 14068, Korea; (H.G.C.); (B.P.)
| | - Jung Woo Lee
- Department of Orthopedic Surgery, Yonsei University Wonju College of Medicine, Wonju 26426, Korea
- Bigdata Platform Business Group, Wonju Yonsei Medical Center, Yonsei University, Wonju 26426, Korea
- Correspondence: ; Tel.: +82-33-741-0114
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