The Global Deterioration Scale for Down Syndrome Population (GDS-DS): A Rating Scale to Assess the Progression of Alzheimer's Disease

Int J Environ Res Public Health. 2023 Mar 14;20(6):5096. doi: 10.3390/ijerph20065096.

Abstract

The aim of this study is to adapt and validate the global deterioration scale (GDS) for the systematic tracking of Alzheimer's disease (AD) progression in a population with Down syndrome (DS). A retrospective dual-center cohort study was conducted with 83 participants with DS (46.65 ± 5.08 years) who formed the primary diagnosis (PD) group: cognitive stability (n = 48), mild cognitive impairment (n = 24), and Alzheimer's disease (n = 11). The proposed scale for adults with DS (GDS-DS) comprises six stages, from cognitive and/or behavioral stability to advanced AD. Two neuropsychologists placed the participants of the PD group in each stage of the GDS-DS according to cognitive, behavioral and daily living skills data. Inter-rater reliability in staging with the GDS-DS was excellent (ICC = 0.86; CI: 0.80-0.93), and the agreement with the diagnosis categories of the PD group ranged from substantial to excellent with κ values of 0.82 (95% CI: 0.73-0.92) and 0.85 (95% CI: 0.72, 0.99). Performance with regard to the CAMCOG-DS total score and orientation subtest of the Barcelona test for intellectual disability showed a slight progressive decline across all the GDS-DS stages. The GDS-DS scale is a sensitive tool for staging the progression of AD in the DS population, with special relevance in daily clinical practice.

Keywords: Alzheimer’s disease; cognitive decline; cognitive testing; dementia; down syndrome; global deterioration scale; intellectual disability; rating scale.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Alzheimer Disease* / epidemiology
  • Cohort Studies
  • Disease Progression
  • Down Syndrome* / epidemiology
  • Humans
  • Reproducibility of Results
  • Retrospective Studies

Grants and funding

This research was funded by the Spanish Government, grant number PI12/02019, PSI-2014-53524-P. The APC was funded by S.E.-C,’s SESMDI research start-up funds.