Olfactory Testing in Parkinson Disease and REM Behavior Disorder: A Machine Learning Approach.

ABSTRACT:

Objective

We sought to identify an abbreviated test of impaired olfaction amenable for use in busy clinical environments in prodromal (isolated REM sleep behavior disorder [iRBD]) and manifest Parkinson disease (PD).

Methods

Eight hundred ninety individuals with PD and 313 controls in the Discovery cohort study underwent Sniffin' Stick odor identification assessment. Random forests were initially trained to distinguish individuals with poor (functional anosmia/hyposmia) and good (normosmia/super-smeller) smell ability using all 16 Sniffin' Sticks. Models were retrained using the top 3 sticks ranked by order of predictor importance. One randomly selected 3-stick model was tested in a second independent PD dataset (n = 452) and in 2 iRBD datasets (Discovery n = 241, Marburg n

SUBMITTER: Lo C 

PROVIDER: S-EPMC8166425 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature