Table 1.

Outcomes and tentative predictors categories for prediction modelling.

Outcomes	Classes of predictors
Underlying etiology Differential diagnosis: probability that the patient currently has one of several neurodegenerative and neurovascular disorders, or does not have any neurodegenerative disorder. Standard of truth will be the reference diagnosis at end of follow-up based on clinical and biomarker criteria.	Co-morbidity profile Cognitive function Blood biomarkers (p-tau, NfL, GFAP) CSF biomarkers (amyloid, tau, p-tau) Diagnostic imaging (MRI, PET) Genetic markers (e.g., APOE) Demographics Concomitant medication Socioeconomic factors
Future health outcomes Probability of disease progression in terms of disease state: subjective cognitive impairment (SCD) to mild cognitive impairment (MCI) to dementia, over time Longitudinal decline in cognitive function scores (e.g., MMSE, MoCA, neuropsychological test batteries) and other clinical scales (ADL, NPI) Institutionalization and other changes in care setting and provision of support services Hospitalizations, health care resource utilization, and costs Mortality