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Yokose C, Challener G, Jiang B, Zhou B, McCormick N, Tanikella S, Panchot KMQ, Kohler MJ, Yinh J, Zhang Y, Bates DW, Januzzi JL, Sise M, Wexler D, Choi HK. Serum urate change among gout patients treated with sodium-glucose cotransporter type 2 inhibitors vs. sulfonylurea: A comparative effectiveness analysis. Semin Arthritis Rheum 2024; 66:152441. [PMID: 38657403 DOI: 10.1016/j.semarthrit.2024.152441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 01/25/2024] [Accepted: 02/09/2024] [Indexed: 04/26/2024]
Abstract
OBJECTIVE To investigate the serum urate (SU) change among gout patients initiating SGLT2i, and to compare with sulfonylurea, the second-most widely used glucose-lowering medication after metformin. METHODS We conducted a cohort study of patients with gout and baseline SU >6 mg/dL who had SU measured within 90 days before and after SGLT2i or sulfonylurea initiation. Using multivariable linear regression, we compared SU change among SGLT2i initiators between those with and without diabetes and then compared SU change between SGLT2i and sulfonylurea. RESULTS We identified 28 patients with gout initiating SGLT2i (including 16 with diabetes) and 28 patients initiating sulfonylurea (all with diabetes). Among SGLT2i initiators, the mean within-group SU change was -1.8 (95 % CI, -2.4 to -1.1) mg/dL, including -1.2 (-1.8 to -0.6) mg/dL and -2.5 (-3.6 to -1.3) mg/dL among patients with and without diabetes, respectively, with an adjusted difference between those with and without diabetes of -1.4 (-2.4 to -0.5) mg/dL. The SU did not change after initiating sulfonylurea (+0.3 [-0.3 to 1.0] mg/dL). The adjusted SU change difference between SGLT2i vs. sulfonylurea initiation was -1.8 (-2.7 to -0.9) mg/dL in all patients. The SU reduction persisted regardless of urate-lowering therapy or diuretic use and the presence of diabetes, chronic kidney disease, or heart failure. CONCLUSION Among patients with gout, SGLT2i was associated with a notable reduction in SU compared with sulfonylurea, with a larger reduction among patients without diabetes. With their proven cardiovascular-kidney-metabolic benefits, adding SGLT2i to current gout management could provide streamlined benefits for gout and its comorbidities.
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Affiliation(s)
- Chio Yokose
- Division of Rheumatology, Allergy, and Immunology, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA; Rheumatology and Allergy Clinical Epidemiology Research Center, Mongan Institute, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
| | - Greg Challener
- Division of Rheumatology, Allergy, and Immunology, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Bohang Jiang
- Division of Rheumatology, Allergy, and Immunology, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA; Rheumatology and Allergy Clinical Epidemiology Research Center, Mongan Institute, Massachusetts General Hospital, Boston, MA, USA
| | - Baijun Zhou
- Division of Rheumatology, Allergy, and Immunology, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA; Rheumatology and Allergy Clinical Epidemiology Research Center, Mongan Institute, Massachusetts General Hospital, Boston, MA, USA
| | - Natalie McCormick
- Division of Rheumatology, Allergy, and Immunology, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA; Rheumatology and Allergy Clinical Epidemiology Research Center, Mongan Institute, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Sruthi Tanikella
- Division of Rheumatology, Allergy, and Immunology, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA; Rheumatology and Allergy Clinical Epidemiology Research Center, Mongan Institute, Massachusetts General Hospital, Boston, MA, USA
| | - Kila Mei Qin Panchot
- Division of Rheumatology, Allergy, and Immunology, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA; Rheumatology and Allergy Clinical Epidemiology Research Center, Mongan Institute, Massachusetts General Hospital, Boston, MA, USA
| | - Minna J Kohler
- Division of Rheumatology, Allergy, and Immunology, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Janeth Yinh
- Division of Rheumatology, Allergy, and Immunology, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Yuqing Zhang
- Division of Rheumatology, Allergy, and Immunology, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA; Rheumatology and Allergy Clinical Epidemiology Research Center, Mongan Institute, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - David W Bates
- Harvard Medical School, Boston, MA, USA; Division of General Internal Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - James L Januzzi
- Harvard Medical School, Boston, MA, USA; Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA; Heart Failure and Biomarker Trials, Baim Institute for Clinical Research, Boston, Massachusetts, United States
| | - Meghan Sise
- Harvard Medical School, Boston, MA, USA; Division of Nephrology, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Deborah Wexler
- Harvard Medical School, Boston, MA, USA; Diabetes Center, Massachusetts General Hospital, Boston, MA, USA
| | - Hyon K Choi
- Division of Rheumatology, Allergy, and Immunology, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA; Rheumatology and Allergy Clinical Epidemiology Research Center, Mongan Institute, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
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McCormick N, Yokose C, Challener GJ, Joshi AD, Tanikella S, Choi HK. Serum Urate and Recurrent Gout. JAMA 2024; 331:417-424. [PMID: 38319333 PMCID: PMC10848075 DOI: 10.1001/jama.2023.26640] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Accepted: 12/05/2023] [Indexed: 02/07/2024]
Abstract
Importance Approximately 12 million adults in the US have a history of gout, but whether serum urate levels can help predict recurrence is unclear. Objective To assess associations of a single serum urate measurement with subsequent risk of acute gout flares and subsequent risk of hospitalizations for gout among patients in the UK with a history of gout. Design, Setting, and Participants This retrospective study included patients with a history of gout identified from the UK between 2006 and 2010 who were followed up through Primary Care Linked Data medical record linkage until 2017 and through the Hospital Episode Statistics database until 2020. Exposures Serum urate levels at enrollment. Main Outcome and Measure Rate of recurrent acute gout, ascertained by hospitalization, outpatient, and prescription/procedure records, and adjusted rate ratios using negative binomial regressions. Results Among 3613 patients with gout (mean age, 60 years; 3104 [86%] men), 1773 gout flares occurred over a mean follow-up of 8.3 years. Of these, 1679 acute gout flares (95%) occurred in people with baseline serum urate greater than or equal to 6 mg/dL and 1731 (98%) occurred in people with baseline serum urate greater than or equal to 5 mg/dL. Rates of acute gout flares per 1000 person-years were 10.6 for participants with baseline urate levels less than 6 mg/dL, 40.1 for levels of 6.0 to 6.9 mg/dL, 82.0 for levels of 7.0 to 7.9 mg/dL, 101.3 for levels of 8.0 to 8.9 mg/dL, 125.3 for urate levels of 9.0 to 9.9 mg/dL, and 132.8 for levels greater than or equal to 10 mg/dL. Rate ratio of flares were 1.0, 3.37, 6.93, 8.67, 10.81, and 11.42, respectively, over 10 years (1.61 [1.54-1.68] per mg/dL). Rates of hospitalization per 1000 person-years during follow-up were 0.18 for those with baseline serum urate less than 6 mg/dL, 0.97 for serum urate of 6.0 to 6.9 mg/dL, 1.8 for serum urate of 7.0 to 7.9 mg/dL, 2.2 for serum urate of 8.0 to 8.9 mg/dL, 6.7 for serum urate of 9.0 to 9.9 mg/dL, and 9.7 for serum urate greater than or equal to 10 mg/dL. Rate ratios of hospitalization for gout, adjusting for age, sex, and race were 1.0, 4.70, 8.94, 10.37, 33.92, and 45.29, respectively (1.87 [1.57-2.23] per mg/dL). Conclusions and Relevance In this retrospective study of patients with a history of gout, serum urate levels at baseline were associated with the risk of subsequent gout flares and rates of hospitalization for recurrent gout. These findings support using a baseline serum urate level to assess risk of recurrent gout over nearly 10 years of follow-up.
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Affiliation(s)
- Natalie McCormick
- Rheumatology & Allergy Clinical Epidemiology Research Center, Division of Rheumatology, Allergy, and Immunology, Massachusetts General Hospital, Boston
- The Mongan Institute, Department of Medicine, Massachusetts General Hospital, Boston
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
- Arthritis Research Canada, Vancouver, British Columbia, Canada
| | - Chio Yokose
- Rheumatology & Allergy Clinical Epidemiology Research Center, Division of Rheumatology, Allergy, and Immunology, Massachusetts General Hospital, Boston
- The Mongan Institute, Department of Medicine, Massachusetts General Hospital, Boston
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
| | - Gregory J. Challener
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
- Division of Rheumatology, Allergy, and Immunology, Massachusetts General Hospital, Boston
| | - Amit D. Joshi
- Channing Division of Network Medicine, Boston, Massachusetts
| | - Sruthi Tanikella
- Rheumatology & Allergy Clinical Epidemiology Research Center, Division of Rheumatology, Allergy, and Immunology, Massachusetts General Hospital, Boston
- The Mongan Institute, Department of Medicine, Massachusetts General Hospital, Boston
| | - Hyon K. Choi
- Rheumatology & Allergy Clinical Epidemiology Research Center, Division of Rheumatology, Allergy, and Immunology, Massachusetts General Hospital, Boston
- The Mongan Institute, Department of Medicine, Massachusetts General Hospital, Boston
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
- Arthritis Research Canada, Vancouver, British Columbia, 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: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [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
| | - Laura M Raffield
- Department of Genetics, University of North Carolina, Chapel Hill
| | - 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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