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Data from: Olfactory testing in Parkinson’s disease & REM behavior disorder: a machine learning approach

Cite this dataset

Lo, Christine et al. (2022). Data from: Olfactory testing in Parkinson’s disease & REM behavior disorder: a machine learning approach [Dataset]. Dryad. https://doi.org/10.5061/dryad.x3ffbg7gx

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’s.

Methods: 890 PD and 313 control participants in the Discovery cohort study underwent Sniffin’ stick odour 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 Parkinson’s dataset (n=452) and in two iRBD datasets (Discovery n=241; Marburg  n=37) before being compared to previously described abbreviated Sniffin’ stick combinations.

Results: In differentiating poor from good smell ability, the overall area under the curve (AUC) value associated with the top 3 sticks (Anise, Licorice and Banana) was 0.95 in the development dataset (sensitivity:90%, specificity:92%, PPV:92%, NPV:90%). Internal and external validation confirmed AUCs≥0.90. The combination of 3-stick model determined poor smell and an RBD screening questionnaire score of ≥5, separated iRBD from controls with a sensitivity, specificity, PPV and NPV of 65%, 100%, 100% and 30%. 

Conclusions: Our 3-Sniffin’-stick model holds potential utility as a brief screening test in the stratification of individuals with Parkinson’s and iRBD according to olfactory dysfunction.

Classification of Evidence: This study provides Class III evidence that a 3-Sniffin’-stick model distinguishes individuals with poor and good smell ability and can be used to screen for individuals with iRBD.

Funding

Monument Trust Discovery Award from Parkinson’s UK, Award: J-1403

Monument Trust Discovery Award from Parkinson’s UK, Award: J-1403