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Analysis of disease activity categories in chronic spontaneous/idiopathic urticaria

医学 疾病 慢性荨麻疹 皮肤病科 慢性病 慢性特发性荨麻疹 重症监护医学 内科学
作者
Donald E. Stull,Doreen McBride,H. Tian,A. Gimenez Arnau,Marcus Maurer,Alexander Marsland,Maria‐Magdalena Balp,S Khalil,Clive Grattan
出处
期刊:British Journal of Dermatology [Wiley]
卷期号:177 (4): 1093-1101 被引量:61
标识
DOI:10.1111/bjd.15454
摘要

Measurement of disease activity guides treatment of chronic spontaneous urticaria (CSU). A weekly Urticaria Activity Score - here, the average of twice-daily patient assessment of itch and hives scores summed over 1 week (UAS7TD ) - measures severity from 0 to 42. Insufficient evidence exists on whether disease activity states, defined by categorical UAS7TD scores, correlate with other patient-reported outcomes and treatment response.To evaluate and compare categorical UAS7TD scores with selected measures of disease-related quality of life and impact.Data from three randomized clinical trials of omalizumab in CSU were pooled. Continuous UAS7TD scores were categorized into five disease activity states: urticaria-free, well-controlled, mild, moderate and severe urticaria. Total scores from the Dermatology Life Quality Index; the Chronic Urticaria Quality of Life questionnaire; and questions on sleep and daily activity interference, presence of angioedema and diphenhydramine use were compared within categorized UAS7TD disease-state scores, using anova for analysis at different time points and mixed-effects regressions for analysis of all data pooled.Pooled analyses showed that categorical UAS7TD disease states accurately predicted differences among treated patients with CSU with different levels of disease activity. A consistent pattern existed between categories, with higher-activity disease states associated with significantly higher impact and an increase in angioedema frequency. Results at different treatment time points were consistent.Categorical UAS7TD disease states can discriminate between measures when considering the impact of urticaria activity. Using five categorical disease states could simplify clinical assessment and monitoring of treatment efficacy.
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