Impact of different methods defining post‐stroke neurocognitive disorder: The Nor‐COAST study

Ragnhild Munthe‐Kaas, Stina Aam, Hege Ihle‐Hansen, Stian Lydersen, Anne‐Brita Knapskog, Torgeir Bruun Wyller, Brynjar Fure, Pernille Thingstad, Torunn Askim, Mona K. Beyer,

Alzheimer s & Dementia Translational Research & Clinical Interventions · 2020 · 52 citations · 38 references

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Abstract

INTRODUCTION: Post-stroke neurocognitive disorder (NCD) is common; prevalence varies between studies, partially related to lack of consensus on how to identify cases. The aim was to compare the prevalence of post-stroke NCD using only cognitive assessment (model A), DSM-5 criteria (model B), and the Global Deterioration Scale (model C) and to determine agreement among the three models. METHODS: In the Norwegian Cognitive Impairment After Stroke study, 599 patients were assessed 3 months after suffering a stroke. RESULTS: The prevalence of mild NCD varied from 174 (29%) in model B to 83 (14%) in model C; prevalence of major NCD varied from 249 (42%) in model A to 68 (11%) in model C. Cohen's kappa and Cohen's quadratic weighted kappa showed fair to very good agreement among models; the poorest agreement was found for identification of mild NCD. DISCUSSION: The findings indicate a need for international harmonization to classify post-stroke NCD.

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