Stull Donald E, McBride Doreen, Houghton Katherine, Finlay Andrew Y, Gnanasakthy Ari, Balp Maria-Magdalena
RTI Health Solutions, Research Triangle Park, NC, USA.
RTI Health Solutions, Didsbury, Manchester, UK.
Adv Ther. 2016 Feb;33(2):214-24. doi: 10.1007/s12325-016-0282-0. Epub 2016 Jan 30.
Assessing the consequences of chronic spontaneous/idiopathic urticaria (CSU) requires the evaluation of health-related quality of life (HRQoL) associated with the severity of CSU signs and symptoms. It is important to understand how signs, symptoms, and HRQoL change over time in CSU. Evidence is lacking on how closely changes in signs and symptoms of CSU are related to changes in HRQoL. The objective of this study was to assess the correlation between changes in patient-reported outcome measures (PROMs) of signs and symptoms, dermatologic quality of life (QoL), and urticaria-specific QoL.
Latent growth models (LGMs) were applied to longitudinal data from three randomized, Phase 3 clinical trials investigating the efficacy and safety of omalizumab in CSU.
A near-perfect association between changes in signs and symptoms and changes in dermatologic and urticaria-specific QoLs was identified in each clinical trial when using LGMs (correlation coefficient range 0.88-0.92).
Evidence showed that changes in signs and symptoms are closely related to changes in HRQoL. However, analyses were performed on clinical trial results of an extremely effective treatment; a less effective treatment with much smaller changes over time may not show such close correlations. Results suggest that any of these PROMs may be used to understand changes in CSU.
评估慢性自发性/特发性荨麻疹(CSU)的后果需要评估与CSU体征和症状严重程度相关的健康相关生活质量(HRQoL)。了解CSU的体征、症状和HRQoL如何随时间变化很重要。关于CSU体征和症状的变化与HRQoL的变化之间的密切程度,目前尚缺乏证据。本研究的目的是评估患者报告的体征和症状结局指标(PROMs)、皮肤病生活质量(QoL)和荨麻疹特异性QoL的变化之间的相关性。
将潜在增长模型(LGMs)应用于三项随机3期临床试验的纵向数据,这些试验研究了奥马珠单抗在CSU中的疗效和安全性。
在每项临床试验中,使用LGMs时,体征和症状的变化与皮肤病和荨麻疹特异性QoL的变化之间均发现了近乎完美的关联(相关系数范围为0.88-0.92)。
证据表明,体征和症状的变化与HRQoL的变化密切相关。然而,分析是基于一种极其有效的治疗方法的临床试验结果;一种随着时间推移变化小得多的疗效较差的治疗方法可能不会显示出如此密切的相关性。结果表明,这些PROMs中的任何一种都可用于了解CSU的变化。