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Global, Regional, and National Burden of Gout, 1990–2020, and Projections to 2050: A Systematic Analysis of the Global Burden of Disease Study 2021 Publisher



Cross M1, 3 ; Ong KL4 ; Culbreth GT4 ; Steinmetz JD4 ; Cousin E4, 5 ; Kopec JA7, 8 ; Haile LM4 ; Brooks PM9 ; Kopanskygiles DR10, 11 ; Dreinhoefer KE3, 12 ; Betteridge N13 ; Abbasian M11, 15 ; Abbasifard M17, 18 ; Abedi A19, 20 Show All Authors
Authors
  1. Cross M1, 3
  2. Ong KL4
  3. Culbreth GT4
  4. Steinmetz JD4
  5. Cousin E4, 5
  6. Kopec JA7, 8
  7. Haile LM4
  8. Brooks PM9
  9. Kopanskygiles DR10, 11
  10. Dreinhoefer KE3, 12
  11. Betteridge N13
  12. Abbasian M11, 15
  13. Abbasifard M17, 18
  14. Abedi A19, 20
  15. Aboye MB21
  16. Aravkin AY4, 5, 6
  17. Artaman A22
  18. Banach M23, 24
  19. Bensenor IM25
  20. Bhagavathula AS26
  21. Bhat AN27
  22. Bitaraf S28
  23. Buchbinder R29, 31
  24. Burkart K4, 5
  25. Chu DT32
  26. Chung SC33, 34
  27. Dadras O35, 36
  28. Dai X4, 5
  29. Das S39
  30. Dhingra S40
  31. Do TC41
  32. Edinur HA42
  33. Fatehizadeh A43
  34. Fetensa G44
  35. Freitas M45
  36. Ganesan B46
  37. Gholami A47, 48
  38. Gill TK49
  39. Golechha M50
  40. Goleij P51, 52
  41. Hafezinejad N37, 53
  42. Hamidi S54
  43. Hay SI4, 5
  44. Hundessa S30
  45. Iso H55
  46. Jayaram S56
  47. Kadashetti V57
  48. Karaye IM58, 59
  49. Khan EA60
  50. Khan MAB61, 62
  51. Khatatbeh MM63
  52. Kiadaliri A64
  53. Kim MS65
  54. Kolahi AA16
  55. Krishan K66
  56. Kumar N67
  57. Le TTT69
  58. Lim SS4, 5
  59. Lobo SW70, 71
  60. Majeed A72
  61. Malik AA73, 74
  62. Mesregah MK75
  63. Mestrovic T4, 76
  64. Mirrakhimov EM77, 78
  65. Mishra M79
  66. Misra AK80
  67. Moberg ME4
  68. Mohamed NS81, 82
  69. Mohan S83, 84
  70. Mokdad AH4, 5
  71. Momenzadeh K14
  72. Moni MA85
  73. Moradi Y86
  74. Mougin V4
  75. Mukhopadhyay S87
  76. Murray CJL4, 5
  77. Swamy SN88
  78. Nguyen VT68
  79. Niazi RK89
  80. Owolabi MO90, 91
  81. Padubidri JR92
  82. Patel J93, 94
  83. Pawar S95
  84. Pedersini P96
  85. Rafferty Q4
  86. Rahman M97
  87. Rashidi MM16, 38
  88. Rawaf S72, 98
  89. Saad AMA99
  90. Sahebkar A100, 101
  91. Sharifaskari FS102
  92. Saleh MA103, 104
  93. Schumacher AE4
  94. Seylani A105
  95. Singh P106
  96. Smith AE4
  97. Solanki R107, 108
  98. Solomon Y109
  99. Tan KK110
  100. Tat NY111, 112
  101. Tibebu NSS113
  102. You Y2, 114
  103. Zheng P4, 5
  104. Zitoun OA115, 116
  105. Vos T4, 5
  106. March LM1, 117
  107. Woolf AD118, 119

Source: The Lancet Rheumatology Published:2024


Abstract

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. © 2024 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license
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