Wessels A M, Siemers E R, Yu P, Andersen S W, Holdridge K C, Sims J R, Sundell K, Stern Y, Rentz D M, Dubois B, Jones R W, Cummings J, Aisen P S
Eli Lilly and Company, Indianapolis, IN, USA.
Department of Neurology, Columbia University Medical Center, New York, NY, USA.
J Prev Alzheimers Dis. 2015 Dec 1;2(4):227-241. doi: 10.14283/jpad.2015.82.
It is generally recognized that more sensitive instruments for the earliest stages of Alzheimer's disease (AD) are needed. The integrated Alzheimer's Disease Rating Scale (iADRS) combines scores from 2 widely accepted measures, the Alzheimer's Disease Assessment Scale-Cognitive subscale (ADAS-Cog) and the Alzheimer's Disease Cooperative Study - instrumental Activities of Daily Living (ADCS-iADL). Disease progression and treatment differences as measured by the iADRS were analyzed using data from solanezumab EXPEDITION, EXPEDITION2, and EXPEDITION-EXT Studies; semagacestat IDENTITY Study; and donepezil ADCS - mild cognitive impairment (ADCS-MCI) Study. Psychometric properties of the iADRS were established through principal component analysis (PCA) and estimation of contributions of subscores and individual item scores to the iADRS total score. The iADRS performed better than most composites and scales in detecting disease progression and comparably or better than individual scales in detecting treatment differences. PCA demonstrated the iADRS can be divided into two principal components primarily representing cognitive items and instrumental ADLs. Dynamic ranges of the subscales were similar across all studies, reflecting approximately equal contributions from both subscales to the iADRS total score. In item analyses, every item contributed to the total score, with varying strength of contributions by item and across data sets. The iADRS demonstrated acceptable psychometric properties and was effective in capturing disease progression from MCI through moderate AD and treatment effects across the early disease spectrum. These findings suggest the iADRS can be used in studies of mixed populations, ensuring sensitivity to treatment effects as subjects progress during studies of putative disease-modifying agents.
人们普遍认识到,需要更灵敏的仪器来检测阿尔茨海默病(AD)的早期阶段。综合阿尔茨海默病评定量表(iADRS)结合了两项广泛认可的测量指标的得分,即阿尔茨海默病评估量表 - 认知分量表(ADAS - Cog)和阿尔茨海默病协作研究 - 工具性日常生活活动量表(ADCS - iADL)。使用来自索拉苏单抗EXPEDITION、EXPEDITION2和EXPEDITION - EXT研究;塞米加西肽IDENTITY研究;以及多奈哌齐ADCS - 轻度认知障碍(ADCS - MCI)研究的数据,分析了iADRS所测量的疾病进展和治疗差异。通过主成分分析(PCA)以及估计子分数和单个项目分数对iADRS总分的贡献,确定了iADRS的心理测量特性。在检测疾病进展方面,iADRS的表现优于大多数综合指标和量表,在检测治疗差异方面,其表现与单个量表相当或更好。PCA表明,iADRS可分为两个主要成分,主要代表认知项目和工具性日常生活活动。所有研究中各子量表的动态范围相似,这反映出两个子量表对iADRS总分的贡献大致相等。在项目分析中,每个项目都对总分有贡献,不同项目和数据集的贡献强度各不相同。iADRS表现出可接受的心理测量特性,并且能够有效地捕捉从轻度认知障碍(MCI)到中度AD的疾病进展以及早期疾病谱中的治疗效果。这些发现表明,iADRS可用于混合人群的研究,在对假定的疾病修饰剂进行研究时,随着受试者病情进展,能确保对治疗效果具有敏感性。