Impact of a clinical decision support tool on prediction of progression in early-stage dementia: a prospective validation study.

ABSTRACT: BACKGROUND:In clinical practice, it is often difficult to predict which patients with cognitive complaints or impairment will progress or remain stable. We assessed the impact of using a clinical decision support system, the PredictND tool, to predict progression in patients with subjective cognitive decline (SCD) and mild cognitive impairment (MCI) in memory clinics. METHODS:In this prospective multicenter study, we included 429 patients with SCD (n = 230) and MCI (n = 199) (female 54%, age 67 ± 9, MMSE 28 ± 2) and followed them for at least 12 months. Based on all available patient baseline data (demographics, cognitive tests, cerebrospinal fluid biomarkers, and MRI), the PredictND tool provides a comprehensive overview of the data and a classification defining the likelihood of progress

SUBMITTER: Bruun M 

PROVIDER: S-EPMC6425602 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature