So sánh phương pháp

	Chỉ số Tổn thương Viêm mạch (VDI)	Đánh giá Định kỳ Dữ liệu Chỉ số Bệnh nhân 3 (RAPID3)
Lĩnh vực	Thấp khớp học	Thấp khớp học
Họ	Process / pipeline	Process / pipeline
Năm ra đời	2003	2008
Người khởi xướng	Exley et al.	Pincus et al.
Loại	Clinician-rated	Patient-reported outcome (PRO)
Công trình gốc	Exley AR, Bacon PA, Luqmani RA, Kitas GD, Gordon C, Pusey CD, Savage CO. Development and initial validation of the Vasculitis Damage Index (VDI) for systemic vasculitis. Arthritis & Rheumatism. 2003;48(7):2146-2157.	Pincus T, Bergman MJ, Sokka T, Roth SH, Swearingen C, Yazici Y. Activity of rheumatoid arthritis is similar in patients seen in a primary care physician-based practice and in an academic rheumatology-based practice. Arthritis Care Research. 2008;59(9):1229-1236.
Tên gọi khác	VDI, Vasculitis Permanent Organ Damage Score	RAPID3, RAPID-3
Liên quan	4	3
Tóm tắt	The VDI is a clinician-assessed measure of permanent organ damage in patients with systemic vasculitis, including ANCA-associated vasculitis (AAV), polyarteritis nodosa, and other necrotising vasculitides. Introduced by Exley et al. (2003), VDI captures cumulative irreversible damage across organ systems, complementing disease activity measures (such as the Birmingham Vasculitis Activity Score). Systemic vasculitis is characterised by inflammation of blood vessel walls, leading to ischaemia and permanent tissue damage. VDI acknowledges that damage accrues over time and is largely irreversible, making it a prognostically important measure distinct from transient inflammatory activity.	RAPID3 is a patient-reported outcome (PRO) measure of rheumatoid arthritis disease activity based on three simple self-report items: patient-counted swollen and tender joints and overall health assessment. Introduced by Pincus et al. in 2008, RAPID3 was designed for primary care and busy practices where joint examination is impractical or time-limited. Remarkably, RAPID3 correlates strongly with clinician-examined composite measures (DAS28, CDAI, SDAI) and predicts long-term radiographic progression equally well, making it a practical alternative for resource-limited settings and self-directed monitoring.