Protocol for the development and validation of a Rheumatoid Arthritis PredIction moDel using primary care health records (RAPID)

Ben Hammond, Aliaksandra Baranskaya, Nicola Adderley, Dawit Zemedikun, Alexander d’Elia, Marie Falahee, Christian Mallen, Elspeth Insch, Joht Singh Chandan, Krishnarajah Nirantharakumar, Kym Snell, Karim Raza
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Abstract

Background Rheumatoid Arthritis (RA) is a chronic rheumatological condition which causes inflammation of both the joint lining and extra-articular sites. It affects around 1% of the UK population and, if not properly treated, can lead joint damage, disability, and significant socioeconomic burden. The risk of long-term damage is reduced if treatment is started in an early disease stage with treatment in the first 3 months being associated with significantly improved clinical outcomes. However, treatment is often delayed due to long referral waits and challenges in identifying early RA in primary care. We plan to use large primary care datasets to develop and validate an RA risk prediction model for use in primary care, with the aim to provide an additional mechanism for early diagnosis and referral for treatment.
利用初级保健健康记录开发和验证类风湿关节炎预测模型(RAPID)的规程
背景类风湿性关节炎(RA)是一种慢性风湿病,会引起关节内膜和关节外部位的炎症。英国约有 1% 的人患有此病,如果治疗不当,会导致关节损伤、残疾和严重的社会经济负担。如果在疾病早期就开始治疗,长期损害的风险就会降低。然而,由于转诊等待时间过长以及在初级保健中识别早期 RA 的挑战,治疗往往被延误。我们计划利用大型初级保健数据集来开发和验证用于初级保健的 RA 风险预测模型,目的是为早期诊断和转诊治疗提供额外的机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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