Eugene Tang: Do Dementia-Predicting Scores Work for Stroke Patients?
Eugene Tang, NIHR RRDN NENC Primary Care Settings Lead at NIHR Research Delivery Network, shared on LinkedIn about a recent article he and his colleagues co-authored, published in The Journal of Clinical Epidemiology, adding:
”New Publication in The Journal of Clinical Epidemiology
We know that stroke survivors are at high risk of dementia and there are scores to try and predict an individual’s risk of dementia but do they work for stroke patients?
Brief Take‑home for researchers and clinicians:
We externally validated 11 common dementia risk models in 3,782 UK stroke survivors from EPIC‑Norfolk which showed that most models displayed weak discrimination (c‑statistics often ~0.52–0.69) and little benefit over age alone as a predictor.
Conclusion:
We cannot assume general‑population dementia scores work post‑stroke or potentially in other high risk groups.
As an aside – this was a fun side-project in the Fellowship, which just further strengthens the story an case for better ways to identify stroke survivors at risk of cognitive deficits such as dementia.
Brilliantly led by Jacob (aptly surnamed) Brain and supported by Ruth Jack and Blossom Stephan.”
Title: External Validation of Dementia Risk Models in a UK Population-Based Prospective Cohort Amongst Stroke Survivors.
Authors: Jacob Brain, Ruth H Jack, Blossom Christa Maree Stephan, Eugene Yee Hing Tang
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