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Towards the development of a management protocol for Subjective Cognitive Decline: insights from a cross-sectional and longitudinal analyses of multimodal clinical data

Mazzeo, S.; Lassi, M.; Padiglioni, S.; Moschini, V.; Vergani, A. A.; Scarpino, M.; Giacomucci, G.; Burali, R.; Morinelli, C.; Fabbiani, C.; Galdo, G.; Amato, L. G.; Bagnoli, S.; Emiliani, F.; Ingannato, A.; Nacmias, B.; Sorbi, S.; Grippo, A.; Mazzoni, A.; Bessi, V.

2024-10-21 neurology
10.1101/2024.10.15.24315516 medRxiv
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Structured abstractO_ST_ABSIntroductionC_ST_ABSSubjective cognitive decline (SCD) is considered as an early symptomatic stage of Alzheimers disease (AD). This study aimed to develop a management protocol for SCD based on cross-sectional and longitudinal analyses. MethodsWe enrolled 440 SCD patients who underwent neurological and neuropsychological assessments, MRI scans, APOE genotyping, and AD biomarker evaluations. Patients were followed for a median of 10 years. ResultsA link was observed between SCD severity, insomnia, and benzodiazepine use. A{beta} pathology was identified in 35% of cases. During follow-up, 87 patients progressed to mild cognitive impairment or dementia. The multi-modal clinical profile of each patient was processed by a machine learning model, predicting progression with 74% accuracy and providing a hierarchy of importance of features predicting progression. DiscussionOur findings support the development of a personalized clinical management protocol for SCD that considers demographic, clinical, cognitive and biological factors for both baseline characterization and prognostic purposes.

Published in Journal of Alzheimer’s Disease (predicted rank #4) · training set

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