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Estimating Dementia Onset: AT(N) Profiles and Predictive Modeling in Mild Cognitive Impairment Patients
Publicado en:Current Alzheimer Research. 20 (11): 778-790 - 2024-02-28 20(11), DOI: 10.2174/0115672050295317240223162312
Autores: Platero, C; Tohka, J; Strange, B
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Resumen
Background Mild Cognitive Impairment (MCI) usually precedes the symptomatic phase of dementia and constitutes a window of opportunities for preventive therapies.Objectives The objective of this study was to predict the time an MCI patient has left to reach dementia and obtain the most likely natural history in the progression of MCI towards dementia.Methods This study was conducted on 633 MCI patients and 145 subjects with dementia through 4726 visits over 15 years from Alzheimer Disease Neuroimaging Initiative (ADNI) cohort. A combination of data from AT(N) profiles at baseline and longitudinal predictive modeling was applied. A data-driven approach was proposed for categorical diagnosis prediction and timeline estimation of cognitive decline progression, which combined supervised and unsupervised learning techniques.Results A reduced vector of only neuropsychological measures was selected for training the models. At baseline, this approach had high performance in detecting subjects at high risk of converting from MCI to dementia in the coming years. Furthermore, a Disease Progression Model (DPM) was built and also verified using three metrics. As a result of the DPM focused on the studied population, it was inferred that amyloid pathology (A+) appears about 7 years before dementia, and tau pathology (T+) and neurodegeneration (N+) occur almost simultaneously, between 3 and 4 years before dementia. In addition, MCI-A+ subjects were shown to progress more rapidly to dementia compared to MCI-A- subjects.Conclusion Based on proposed natural histories and cross-sectional and longitudinal analysis of AD markers, the results indicated that only a single cerebrospinal fluid sample is necessary during the prodromal phase of AD. Prediction from MCI into dementia and its timeline can be achieved exclusively through neuropsychological measures.
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Impacto bibliométrico. Análisis de la aportación y canal de difusión
El trabajo ha sido publicado en la revista Current Alzheimer Research, y aunque la revista se encuentra clasificada en el cuartil Q3 (Agencia WoS (JCR)), su enfoque regional y su especialización en Neurosciences, le otorgan un reconocimiento lo suficientemente significativo en un nicho concreto del conocimiento científico a nivel internacional.
Impacto y visibilidad social
Análisis de liderazgo de los autores institucionales
Este trabajo se ha realizado con colaboración internacional, concretamente con investigadores de: Finland.
Existe un liderazgo significativo ya que algunos de los autores pertenecientes a la institución aparecen como primer o último firmante, se puede apreciar en el detalle: Primer Autor (PLATERO DUEÑAS, CARLOS) y Último Autor (STRANGE, BRYAN).
el autor responsable de establecer las labores de correspondencia ha sido PLATERO DUEÑAS, CARLOS.