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

Pamela Ventola, Judith Jaeger, Christopher J. Keary, Alexander Kolevzon, Maxwell Adams, Bina Keshavan, Celia Zinger-Salmun, Cesar Ochoa-Lubinoff

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

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.

Original languageEnglish
Pages (from-to)35-40
Number of pages6
JournalEuropean Journal of Paediatric Neurology
Volume47
DOIs
StatePublished - Nov 2023

Keywords

  • Angelman syndrome (AS)
  • Clinical global impressions (CGI) scale
  • Disease-specific rating scale
  • Gaboxadol

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