Cognitive and physical markers of prodromal dementia: A 12‐year‐long population study. Issue 1 (8th January 2020)

• Record Type: Journal Article
• Authors: Grande, Giulia; Rizzuto, Debora; Vetrano, Davide L.; Marseglia, Anna; Vanacore, Nicola; Laukka, Erika J.; Welmer, Anna‐Karin; Fratiglioni, Laura
• Is Part Of: Alzheimer's & dementia. Volume 16:Issue 1(2020)
• Page Start: 153
• Page End: 161
• Publication Date: 2020-01-08
• Subjects: clinical markers -- cognitive impairment -- dementia -- population‐based study -- walking speed; Alzheimer's disease -- Periodicals; Alzheimer Disease -- Periodicals; Dementia -- Periodicals; Démence; Maladie d'Alzheimer; Périodique électronique (Descripteur de forme); Ressource Internet (Descripteur de forme); 616.83
• DOI: 10.1002/alz.12002
• Languages: English
• ISSNs: 1552-5260

Abstract

Abstract: Introduction: The aim is to test whether adding a simple physical test such as walking speed (WS) to the neuropsychological assessment increases the predictive ability to detect dementia. Methods: The 2546 dementia‐free people from the SNAC‐K study were grouped into four profiles: (1) healthy profile; (2) isolated cognitive impairment, no dementia (CIND, scoring 1.5 standard deviation below age‐specific means on ≥1 cognitive domains); (3) isolated slow WS (<0.8 m/s); (4) CIND+ slow WS. The hazard of dementia (Cox regression), the positive and negative predictive values (PPV, NPV), and the area under the curve (AUC) were estimated. Results: Participants with CIND +slow WS demonstrated the highest hazard of dementia (3.4; 95% confidence interval [CI]: 2.5–4.8). The AUC increased from 0.69 for isolated CIND to 0.83 for CIND+ slow WS. Such an increase was due to the improvement of the PPV, the NPV remaining optimal. Discussion: Adding WS to the cognitive assessment dramatically increases the diagnostic accuracy of prodromal dementia.