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用于安格曼综合征的改良临床整体印象改善量表:利用 NEPTUNE 研究数据进行的验证分析。

An adapted clinical global Impression of improvement for use in Angelman syndrome: Validation analyses utilizing data from the NEPTUNE study.

机构信息

Yale University Child Study Center, New Haven, CT, USA; Cogstate, New Haven, CT, USA.

CognitionMetrics, LLC, DE, USA; Department of Psychiatry and Behavioral Sciences, Albert Einstein College of Medicine, Bronx, NY, USA.

出版信息

Eur J Paediatr Neurol. 2023 Nov;47:35-40. doi: 10.1016/j.ejpn.2023.08.003. Epub 2023 Sep 4.

Abstract

PURPOSE

Angelman Syndrome (AS) is a rare, severe neurogenetic disorder that causes symptoms such as intellectual disability and motor impairments and is typically diagnosed in early childhood. The complexity and heterogeneity of AS confound characterization of disease severity and pose unique challenges when determining an individual's response to treatment. There is therefore a substantial unmet need for rating scales specifically designed for complex conditions such as AS. To address this, the Clinical Global Impressions (CGI) scale, which has components for both symptom severity (CGI-S) and improvement (CGI-I) was specifically adapted to measure severity (CGI-S-AS) and improvement (CGI-I-AS) in AS.

METHODS

The modified CGI-S/I-AS was used in the NEPTUNE trial of gaboxadol for the treatment of AS. Here we report on the validation of the CGI-I-AS using data from NEPTUNE and discuss insights for its potential use in future trials.

RESULTS

Improvements in the CGI-I-AS rating tended to be consistent with changes on other relevant rating scales. Sleep-related symptoms were particularly well represented, while communication-related symptoms were not.

CONCLUSIONS

Our validation analysis of the CGI-I-AS demonstrates its usefulness along with possible areas of improvement. The CGI-I-AS is a potential tool for use in other trials of AS drug candidates, and the process for its development can serve as a road map for the development of assessment tools for other neuropsychiatric disorders with similar complexities and heterogeneity.

摘要

目的

天使综合征(AS)是一种罕见的严重神经遗传疾病,会导致智力残疾和运动障碍等症状,通常在幼儿期确诊。AS 的复杂性和异质性使疾病严重程度的描述变得复杂,并在确定个体对治疗的反应时带来独特的挑战。因此,对于像 AS 这样的复杂疾病,有大量未满足的需求需要专门设计评分量表。为了解决这个问题,专门对临床总体印象(CGI)量表进行了修改,该量表既有症状严重程度(CGI-S)的组成部分,也有改善(CGI-I)的组成部分,用于测量 AS 的严重程度(CGI-S-AS)和改善(CGI-I-AS)。

方法

改良后的 CGI-S/I-AS 用于 gaboxadol 治疗 AS 的 NEPTUNE 试验。在这里,我们报告了使用 NEPTUNE 数据对 CGI-I-AS 的验证,并讨论了其在未来试验中潜在用途的见解。

结果

CGI-I-AS 评分的改善趋势与其他相关评分量表的变化一致。睡眠相关症状表现尤为明显,而与沟通相关的症状则不然。

结论

我们对 CGI-I-AS 的验证分析表明,它具有一定的实用性,同时也存在一些改进的空间。CGI-I-AS 是 AS 候选药物其他试验中潜在的工具,其开发过程可以为其他具有类似复杂性和异质性的神经精神疾病的评估工具的开发提供路线图。

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