Institute of Infection, Immunity and Inflammation, University of Glasgow , Glasgow , UK.
Institute of Health & Wellbeing, University of Glasgow , Glasgow , UK.
RMD Open. 2016 Jun 14;2(1):e000267. doi: 10.1136/rmdopen-2016-000267. eCollection 2016.
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.
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.
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).
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.
为了描述大型基于人群的英国生物库中类风湿关节炎（RA）患者的详细表型和合并症特征，从而能够进行未来的纵向分析。
我们使用独特的英国生物库资源的基线数据（n=502649）进行了横断面研究。RA 基于自我报告，药物类型被用作有效诊断的替代测量。比较了有和没有 RA 的参与者在社会人口统计学、生活方式和其他疾病相关风险因素方面的差异。使用逻辑回归模型来确定是否有 RA 的参与者更有可能报告合并症，以及这种情况是否因 RA 的严重程度而异。这些模型针对潜在的混杂因素和生活方式风险因素进行了调整。
在基线时，5657 名（1.13%）符合条件的英国生物库参与者报告了 RA，其中 2849 名（0.57%）患有经医学治疗的 RA（中位数持续时间为 10 年）。女性、南亚裔和社会经济贫困参与者的患病率明显更高。患有 RA 的参与者更有可能报告糖尿病（调整后的协变量比值比 1.18，95%CI 1.06 至 1.32，p<0.01）、高血压（OR 1.19，95%CI 1.21 至 1.27，p<0.001）和心血管疾病（OR 1.52，95%CI 1.39 至 1.67，p<0.001）。
英国生物库提供了有关 RA 人群水平合并症和风险因素的广泛数据。英国生物库中报告 RA 的参与者的频率、分布和特征在很大程度上与其他研究一致。它提供了一个独特的机会，可以在初级和二级保健中对人群水平的生物标志物、遗传数据、详细影像学和与临床记录的关联进行探究。
