AI Article Synopsis

  • Angelman Syndrome (AS) is a rare neurogenetic disorder impacting intellectual and motor functions, creating challenges in assessing its severity and treatment responses, prompting the need for specialized rating scales.
  • The Clinical Global Impressions scale was adapted for AS, called CGI-S-AS and CGI-I-AS, and was utilized in a trial of the drug gaboxadol to evaluate its effectiveness in managing the condition.
  • Validation of the CGI-I-AS showed it aligns well with other rating scales, highlighting effective monitoring of sleep symptoms, while also underscoring areas needing improvement in assessing communication-related effects.

Article 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.

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Source
http://dx.doi.org/10.1016/j.ejpn.2023.08.003DOI Listing

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