K Ting1, T K Gill2, H Keen3, G R Tucker2, C L Hill1,4. 1. Department of Rheumatology, The Queen Elizabeth Hospital, Adelaide, South Australia, Australia. 2. School of Medicine, The University of Adelaide, Adelaide, South Australia, Australia. 3. School of Medicine and Pharmacology, University of Western Australia, Perth, Western Australia, Australia. 4. The Health Observatory, Discipline of Medicine, The University of Adelaide, Adelaide, South Australia, Australia.
Abstract
BACKGROUND: Despite gout and hyperuricaemia being major comorbid health issues worldwide, there is a knowledge gap regarding their impact in the Australian community. AIMS: To determine the prevalence and associations of self-reported medically diagnosed gout and hyperuricaemia in an Australian population-based cohort. METHODS: The North West Adelaide Health Study is a longitudinal cohort study consisting of three stages of data collection. Each stage comprised a self-complete questionnaire, clinic assessment and computer-assisted telephone interview. In Stage 3 (2008-2010), participants were asked if a doctor had ever diagnosed them with gout. Additional data included demographics, comorbidities, laboratory data and Short Form 36 (SF-36). Participants were defined as having gout if they had self-reported medically diagnosed gout or were taking any gout-specific medication (allopurinol, colchicine, probenecid). Hyperuricaemia was defined as a serum uric acid (SUA) level >0.42 mmol/L in men and >0.34 mmol/L in women. RESULTS: The overall prevalence of gout was 5.2%. Males were significantly more likely to have gout than females (8.5 vs 2.1%, P < 0.001). The overall prevalence of hyperuricaemia was 16.6%, with being male again identified as a significant risk factor (17.8 vs 15.4%, P < 0.01). Both gout and hyperuricaemia were associated with male sex, body mass index and renal disease after multivariable adjustment. There was no significant difference reported in quality of life (mean SF-36) scores in participants with gout compared to unaffected individuals. CONCLUSION: The prevalence of gout and hyperuricaemia is high in the South Australian population. This study emphasises the need for optimal diagnosis and management of gout in Australia.
BACKGROUND: Despite gout and hyperuricaemia being major comorbid health issues worldwide, there is a knowledge gap regarding their impact in the Australian community. AIMS: To determine the prevalence and associations of self-reported medically diagnosed gout and hyperuricaemia in an Australian population-based cohort. METHODS: The North West Adelaide Health Study is a longitudinal cohort study consisting of three stages of data collection. Each stage comprised a self-complete questionnaire, clinic assessment and computer-assisted telephone interview. In Stage 3 (2008-2010), participants were asked if a doctor had ever diagnosed them with gout. Additional data included demographics, comorbidities, laboratory data and Short Form 36 (SF-36). Participants were defined as having gout if they had self-reported medically diagnosed gout or were taking any gout-specific medication (allopurinol, colchicine, probenecid). Hyperuricaemia was defined as a serum uric acid (SUA) level >0.42 mmol/L in men and >0.34 mmol/L in women. RESULTS: The overall prevalence of gout was 5.2%. Males were significantly more likely to have gout than females (8.5 vs 2.1%, P < 0.001). The overall prevalence of hyperuricaemia was 16.6%, with being male again identified as a significant risk factor (17.8 vs 15.4%, P < 0.01). Both gout and hyperuricaemia were associated with male sex, body mass index and renal disease after multivariable adjustment. There was no significant difference reported in quality of life (mean SF-36) scores in participants with gout compared to unaffected individuals. CONCLUSION: The prevalence of gout and hyperuricaemia is high in the South Australian population. This study emphasises the need for optimal diagnosis and management of gout in Australia.
Authors: Man Fung Tsoi; Man Ho Chung; Bernard Man Yung Cheung; Chak Sing Lau; Tommy Tsang Cheung Journal: Arthritis Res Ther Date: 2020-09-04 Impact factor: 5.156
Authors: Charlotte Proudman; Susan E Lester; David A Gonzalez-Chica; Tiffany K Gill; Nicola Dalbeth; Catherine L Hill Journal: Arthritis Res Ther Date: 2019-05-31 Impact factor: 5.156
Authors: Huai Leng Pisaniello; Susan Lester; David Gonzalez-Chica; Nigel Stocks; Marie Longo; Greg R Sharplin; Eleonora Dal Grande; Tiffany K Gill; Samuel L Whittle; Catherine L Hill Journal: Arthritis Res Ther Date: 2018-07-11 Impact factor: 5.156