قارن الطرق

	مؤشر تلف الأوعية الدموية (VDI)	مؤشر نشاط مرض الذئبة الحمامية الجهازية 2000 (SLEDAI-2K)
المجال	أمراض الروماتيزم	أمراض الروماتيزم
العائلة	Process / pipeline	Process / pipeline
سنة النشأة	2003	2002
صاحب الطريقة	Exley et al.	Gladman et al.
النوع	Clinician-rated	Clinician-rated
المصدر التأسيسي	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.	Gladman DD, Ibañez D, Urowitz MB. Systemic Lupus Erythematosus Disease Activity Index 2000. The Journal of Rheumatology. 2002;29(2):288-291.
الأسماء البديلة	VDI, Vasculitis Permanent Organ Damage Score	SLEDAI, SLEDAI-2K, SLE Disease Activity Index
ذات صلة	4	3
الملخص	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.	The SLEDAI is a comprehensive clinician-assessed measure of systemic lupus erythematosus (SLE) disease activity, capturing manifestations across multiple organ systems (cutaneous, renal, neuropsychiatric, hematologic, and serological). Introduced by Bombardier et al. (1992) and refined as SLEDAI-2K by Gladman et al. (2002), SLEDAI uses weighted scoring of 24 clinical and laboratory features to quantify overall SLE activity. It is the most widely used outcome measure in SLE research and clinical trials, enabling standardised assessment of disease progression, flare prediction, and treatment response in this complex multisystem disease.