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- Bursill, D., et al.
(författare)
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Gout, Hyperuricaemia and Crystal-Associated Disease Network (G-CAN) consensus statement regarding labels and definitions of disease states of gout
- 2019
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Ingår i: Annals of the Rheumatic Diseases. - : BMJ. - 0003-4967 .- 1468-2060. ; 78:11, s. 1592-1600
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Tidskriftsartikel (refereegranskat)abstract
- Objective There is a lack of standardisation in the terminology used to describe gout. The aim of this project was to develop a consensus statement describing the recommended nomenclature for disease states of gout. Methods A content analysis of gout-related articles from rheumatology and general internal medicine journals published over a 5-year period identified potential disease states and the labels commonly assigned to them. Based on these findings, experts in gout were invited to participate in a Delphi exercise and face-to-face consensus meeting to reach agreement on disease state labels and definitions. Results The content analysis identified 13 unique disease states and a total of 63 unique labels. The Delphi exercise (n=76 respondents) and face-to-face meeting (n=35 attendees) established consensus agreement for eight disease state labels and definitions. The agreed labels were as follows: 'asymptomatic hyperuricaemia', 'asymptomatic monosodium urate crystal deposition', 'asymptomatic hyperuricaemia with monosodium urate crystal deposition', 'gout', 'tophaceous gout', 'erosive gout', 'first gout flare' and 'recurrent gout flares'. There was consensus agreement that the label 'gout' should be restricted to current or prior clinically evident disease caused by monosodium urate crystal deposition (gout flare, chronic gouty arthritis or subcutaneous tophus). Conclusion Consensus agreement has been established for the labels and definitions of eight gout disease states, including 'gout' itself. The Gout, Hyperuricaemia and Crystal-Associated Disease Network recommends the use of these labels when describing disease states of gout in research and clinical practice.
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- Skov, J., et al.
(författare)
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Co-aggregation and heritability of organ-specific autoimmunity: a population-based twin study
- 2020
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Ingår i: European Journal of Endocrinology. - : Oxford University Press (OUP). - 0804-4643 .- 1479-683X. ; 182:5, s. 473-480
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Tidskriftsartikel (refereegranskat)abstract
- Objective: Co-aggregation of autoimmune diseases is common, suggesting pa rtly shared etiologies. Genetic factors are believed to be important, but objective measures of environ mental vs heritable influences on co-aggregation are absent. With a novel approach to twin studies, we aimed at esti mating heritability and genetic overlap in seven organspecific autoimmune diseases. Design: Prospective twin cohort study. Methods: We used a cohort of 110 814 twins to examine co-aggregation an d heritability of Hashimoto's thyroiditis, atrophic gastritis, celiac disease, Graves' disease, type 1 dia betes, vitiligo and Addison's disease. Hazard ratios (HR) were calculated for twins developing the same or different disea se as compared to their co-twin. The differences between monozygotic and dizygotic twin pairs were used to estim ate the genetic influence on co- aggregation. Heritability for individual disorders was calculated using stru ctural equational modeling adjusting for censoring and truncation of data. Results: Co-aggregation was more pronounced in monozygotic twins (media n HR: 3.2, range: 2.2-9.2) than in dizygotic twins (median HR: 2.4, range: 1.1-10.0). Heritability was moder ate for atrophic gastritis (0.38, 95% CI: 0.23-0.53) but high for all other diseases, ranging from 0.60 (95% CI: 0.49-0. 71) for Graves' disease to 0.97 (95% CI: 0.91- 1.00) for Addison's disease. Conclusions: Overall, co-aggregation was more pronounced in monozygotic tha n in dizygotic twins, suggesting that disease overlap is largely attributable to genetic factors. Co- aggregation was common, and twins faced up to a ten-fold risk of developing diseases not present in their co-twin. Our r esults validate and refine previous heritability estimates based on smaller twin cohorts.
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