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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Remote, lower-intensity, multidomain lifestyle intervention for subjective cognitive decline or mild cognitive
Harriet Demnitz-King1, Mariam Adeleke2, Julie A Barber2
1Centre for Psychiatry and Mental Health, Wolfson Institute of Population Health, Queen Mary University London, London, UK.
Background:
Trials of high-intensity, multidomain interventions show that modifying lifestyle and psychological risk factors can slow cognitive decline. We aimed to evaluate the effectiveness of a lower-intensity, personally-tailored dementia prevention programme in improving cognition in adults with subjective cognitive decline or mild cognitive impairment.
Methods:
We conducted a single-masked, multisite, randomised controlled clinical trial recruiting older adults with subjective cognitive decline or mild cognitive impairment across 11 sites in England. Participants were randomly assigned (1:1) to the 12-month Active Prevention in People at Risk of Dementia through Lifestyle, Behaviour Change and Technology to build Resilience (APPLE-Tree) intervention or to the control condition (usual care plus brief written information about dementia prevention). Randomisation was blocked and stratified by site, with allocations assigned via a remote web-based system. The intervention promoted healthy lifestyles, social connections, enjoyable activities, and self-management of long-term conditions. It comprised ten 1-h group video-call sessions over 6 months, supplemented with alternating, informal, 40-min video-call sessions (termed tea breaks) and individual goal-setting calls between sessions. From months 6 to 12, participants continued with monthly online tea breaks. The primary outcome was cognition (Neuropsychological Test Battery [NTB] score) at 24 months, analysed using an intention-to-treat approach. This trial was pre-registered with the ISRCTN Registry (ISRCTN17325135); further analyses are ongoing.
Findings:
Between Oct 5, 2020, and Dec 31, 2022, we screened 1287 individuals for eligibility and randomly assigned 746 to the APPLE-Tree intervention (n=374) or control treatment (n=372). There were 177 (47%) women and 194 (52%) men in the intervention group and 173 (47%) women and 198 (53%) men in the control group. The primary outcome analysis included 635 (85%) of 746 participants. Mean NTB scores increased in both groups over time, with greater improvement in the intervention group than in the control group (mean 24-month NTB 0·33 [SD 0·67] vs 0·21 [0·75]; adjusted mean difference 0·06 [95% CI -0·001 to 0·128]; p=0·055). Serious adverse events occurred in 35 (9%) participants in the intervention group and 30 (8%) participants in the control group; none were intervention-related.
Interpretation:
APPLE-Tree is an accessible intervention associated with small improvements in cognition, although these results were not statistically significant. Low-intensity interventions that can be delivered remotely by non-clinical facilitators have the potential for wide-scale implementation to support adults with memory concerns. However, further work is needed to optimise the intervention for delivery in routine settings.
Funding:
Economic and Social Research Council and National Institute for Health and Care Research programme grant.
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