Characteristics of rheumatoid arthritis and its association with major comorbid conditions: cross-sectional study of 502 649 UK Biobank participants

Siebert, S. , Lyall, D. M. , Mackay, D. F. , Porter, D. and McInnes, I. B. (2016) Characteristics of rheumatoid arthritis and its association with major comorbid conditions: cross-sectional study of 502 649 UK Biobank participants. RMD Open, 2(1), e000267. (doi: 10.1136/rmdopen-2016-000267) (PMID:27403335) (PMCID:PMC4932291)

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Introduction: To characterise the detailed phenotypic and comorbid characteristics of participants with rheumatoid arthritis (RA) in the large population-based UK Biobank, thereby enabling future longitudinal analyses. Methods: We undertook a cross-sectional study using baseline data from the unique UK Biobank resource (n=502 649). RA was based on self-report, and type of medication was used as a proxy measure of valid diagnosis. Participants with and without RA were compared in terms of sociodemographic, lifestyle and other disease-related risk factors. Logistic regression models were used to determine whether participants with RA were more likely to report comorbid conditions, and whether this varied by RA severity. The models were adjusted for potential confounders and lifestyle risk factors. Results: At baseline, 5657 (1.13%) eligible UK Biobank participants reported RA of whom 2849 (0.57%) had medically treated RA (median duration=10 years). Prevalence was significantly higher among female, South Asian and socioeconomically deprived participants. Participants with RA were significantly more likely to report diabetes (covariate-adjusted OR 1.18, 95% CI 1.06 to 1.32, p<0.01), hypertension (OR 1.19, 95% CI 1.21 to 1.27, p<0.001) and cardiovascular disease (OR 1.52, 95% CI 1.39 to 1.67, p<0.001). Conclusions: UK Biobank provides extensive data concerning RA population-level comorbidity and risk factors. The frequency, distribution and characteristics of participants reporting RA in UK Biobank are largely consistent with other studies. It provides a unique opportunity to interrogate biomarkers, genetic data, detailed imaging and linkage to clinical records at the population level across primary and secondary care.

Item Type:Articles
Additional Information:This research has been conducted using the UK Biobank resource; we are grateful to UK Biobank participants. UK Biobank was established by the Wellcome Trust medical charity, Medical Research Council, Department of Health, Scottish Government and the Northwest Regional Development Agency. It has also had funding from the Welsh Assembly Government and the British Heart Foundation.
Glasgow Author(s) Enlighten ID:McInnes, Professor Iain and Porter, Dr Duncan and Mackay, Professor Daniel and Siebert, Professor Stefan and Lyall, Dr Donald
Authors: Siebert, S., Lyall, D. M., Mackay, D. F., Porter, D., and McInnes, I. B.
College/School:College of Medical Veterinary and Life Sciences > Institute of Health and Wellbeing > Public Health
College of Medical Veterinary and Life Sciences > Institute of Infection Immunity and Inflammation
Journal Name:RMD Open
Publisher:B M J Group
ISSN (Online):2056-5933
Copyright Holders:Copyright © 2016 The Authors
First Published:First published in RMD Open 2(1):e000267
Publisher Policy:Reproduced under a Creative Commons License

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