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阿尔茨海默病的临床试验。利用阿尔茨海默病注册协作组的数据计算阿尔茨海默病评估量表认知部分得分。

Clinical trials in Alzheimer's disease. Calculating Alzheimer's Disease Assessment Scale-cognitive subsection with the data from the consortium to establish a registry for Alzheimer's disease.

作者信息

Gillen T E, Gregg K M, Yuan H, Kurth M C, Krishnan K R

机构信息

Pharsight Corp., 11230 Sorrento Valley Road, San Diego, CA 92121, USA.

出版信息

Psychopharmacol Bull. 2001 Spring;35(2):83-96.

Abstract

The database of the Consortium to Establish a Registry for Alzheimer's Disease (CERAD) is a seminal work in the field of cognitive dysfunction and Alzheimer's disease. This 24-center study of 1,094 patients with Alzheimer's disease who received no treatment for their cognitive dysfunction and 463 normal control subjects is rich in neurobehavioral data and contains extensive imaging and neuropathologic findings. However, the Alzheimer's Disease Assessment Scale (ADAS) was not administered as part of the CERAD study, which limits the study's applicability to modern drug trials, in which the ADAS-cognitive subsection (ADAS-cog) is a popular end point. The purpose of this investigation was to develop a derived ADAS-cog score from the neurobehavioral data obtained from subjects during their evaluation in the CERAD study. Two calculated ADAS-cog scores were developed. The first was based on clinically mapping the items on the ADAS-cog to assessments that were performed in the CERAD study. The second was based on rescaling the Mini-Mental Status Exam (MMSE), using published results correlating the ADAS-cog to the MMSE. Standard characteristics of both calculated ADAS-cog scores were calculated and compared with each other and with the literature. Both calculated ADAS-cog scores performed comparably to published characteristics of the ADAS-cog. The clinically based calculated ADAS-cog outperformed the rescaled MMSE. Using the CERAD database, it is now possible to model the progression of an untreated (placebo) population of patients with Alzheimer's disease and correlate it to a study using ADAS-cog.

摘要

建立阿尔茨海默病注册库联盟(CERAD)的数据库是认知功能障碍和阿尔茨海默病领域的一项开创性工作。这项涉及24个中心的研究纳入了1094例未接受认知功能障碍治疗的阿尔茨海默病患者和463名正常对照受试者,拥有丰富的神经行为学数据,并包含广泛的影像学和神经病理学发现。然而,阿尔茨海默病评估量表(ADAS)并未作为CERAD研究的一部分进行施测,这限制了该研究在现代药物试验中的适用性,在现代药物试验中,ADAS认知子量表(ADAS-cog)是一个常用的终点指标。本研究的目的是根据CERAD研究中受试者评估时获得的神经行为学数据得出一个派生的ADAS-cog分数。我们得出了两个计算得出的ADAS-cog分数。第一个是基于将ADAS-cog上的项目临床映射到CERAD研究中进行的评估。第二个是基于重新调整简易精神状态检查表(MMSE)的评分,使用已发表的将ADAS-cog与MMSE相关联的结果。我们计算了两个计算得出的ADAS-cog分数的标准特征,并相互比较以及与文献进行比较。两个计算得出的ADAS-cog分数的表现与已发表的ADAS-cog特征相当。基于临床的计算得出的ADAS-cog表现优于重新调整后的MMSE。利用CERAD数据库,现在有可能模拟未治疗(安慰剂)的阿尔茨海默病患者群体的病情进展,并将其与使用ADAS-cog的研究相关联。

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