5620 Faculty of Medicine, McGill University, Montreal, QC, Canada.
507266 Division of Dermatology, McGill University, Montreal, QC, Canada.
J Cutan Med Surg. 2022 Nov-Dec;26(6):600-603. doi: 10.1177/12034754221128796. Epub 2022 Oct 9.
Psoriatic arthritis (PsA) can affect a diverse range of anatomical sites and its heterogeneous presentation contributes to misdiagnosis and delayed treatment with conventional and biologic disease-modifying antirheumatic drugs (DMARDs). Up to 15% of psoriasis (PsO) patients affected by PsA remain undiagnosed. Early detection and referral to a rheumatologist are crucial to optimize care and minimize irreversible erosive joint damage. To improve the rheumatology referral process, the authors propose a risk stratification tool to identify and triage patients with possible psoriatic arthritis. With the aim of ultimately assisting in early treatment initiation, this risk stratification algorithm can be used in both dermatology and primary care clinics. It is based on the Psoriasis Epidemiology Screening Tool (PEST) combined with the ClASsification criteria for Psoriatic Arthritis (CASPAR). This article intends to provide a rationale for further prospective studies whose objective would be to validate this screening algorithm.
银屑病关节炎（PsA）可影响多种解剖部位，其表现多样，导致误诊和常规及生物疾病修饰抗风湿药物（DMARDs）治疗延误。多达 15%的银屑病（PsO）合并 PsA 患者未得到诊断。早期发现和转介给风湿病医生对于优化治疗和最大限度减少不可逆的侵蚀性关节损伤至关重要。为了改善风湿病转诊流程，作者提出了一种风险分层工具，以识别和分诊可能患有银屑病关节炎的患者。该风险分层算法旨在最终帮助早期开始治疗，可用于皮肤科和初级保健诊所。它基于银屑病流行病学筛查工具（PEST）与银屑病关节炎分类标准（CASPAR）相结合。本文旨在为进一步的前瞻性研究提供依据，其目的是验证该筛查算法。
