Development of a simplified smell test to identify Parkinson’s disease using multiple cohorts, machine learning and item response theory

To develop a simplified smell test for identifying patients with Parkinson's disease (PD), we reevaluated the Sniffin'-Sticks-Identification-Test (SST-ID) and University-of-Pennsylvania-Smell-Identification-Test (UPSIT), using three case-control studies. These included 301 patients with PD or dementia with Lewy bodies (DLB), 68 subjects with multiple-system atrophy (MSA) or progressive supranuclear palsy (PSP), and 281 healthy controls (HC). Scents were ranked by area-under-the-curve values for group classification and results leveraged by 8 published studies with 5853 individuals. PD/DLB patients showed markedly worse olfaction than controls, whereas scores for MSA/PSP subjects were intermediate. We identified and validated a subset of 7 shared odorants that performed similarly to the traditional 16-scent SST-ID and 40-scent UPSIT tests in distinguishing PD/DLB from HC. There, the identification of 4 or fewer scents out of 7 served as an effective cut-off between the two groups. We also identified a critical role for distractors (from correct answers) and age on olfaction performance.

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Publication Details

Journal
npj Parkinson s Disease
Published
2025-04-23
DOI
https://doi.org/10.1038/s41531-025-00904-5
Citations
2
Primary Topic
Olfactory and Sensory Function Studies
Type
article
Field-Weighted Citation Impact
2.93

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article

Development of a simplified smell test to identify Parkinson’s disease using multiple cohorts, machine learning and item response theory

Michael G. Schlossmacher, Juan Li, Tim Ramsay, Sandrina Weber et al.
2 citations
npj Parkinson s Disease
Olfactory and Sensory Function Studies
2.93
article

Development of a simplified smell test to identify Parkinson’s disease using multiple cohorts, machine learning and item response theory

Michael G. Schlossmacher, Juan Li, Tim Ramsay, Sandrina Weber, Mohammed Dakna, Claudia Trenkwalder, Joseph Saade, Elisabeth Lang, Douglas G. Manuel, Tamara Wicke, Tiago Mestre, Sebastian Schade, Julianna J. Tomlinson, Brit Mollenhauer, Andrew Frank, Natalina Salmaso, Kelsey F. Grimes
article en
2 citations

Abstract

To develop a simplified smell test for identifying patients with Parkinson's disease (PD), we reevaluated the Sniffin'-Sticks-Identification-Test (SST-ID) and University-of-Pennsylvania-Smell-Identification-Test (UPSIT), using three case-control studies. These included 301 patients with PD or dementia with Lewy bodies (DLB), 68 subjects with multiple-system atrophy (MSA) or progressive supranuclear palsy (PSP), and 281 healthy controls (HC). Scents were ranked by area-under-the-curve values for group classification and results leveraged by 8 published studies with 5853 individuals. PD/DLB patients showed markedly worse olfaction than controls, whereas scores for MSA/PSP subjects were intermediate. We identified and validated a subset of 7 shared odorants that performed similarly to the traditional 16-scent SST-ID and 40-scent UPSIT tests in distinguishing PD/DLB from HC. There, the identification of 4 or fewer scents out of 7 served as an effective cut-off between the two groups. We also identified a critical role for distractors (from correct answers) and age on olfaction performance.

npj Parkinson s DiseaseVol. 11(1)
University of Ottawa (CA), Ottawa Hospital (CA), German Center for Neurodegenerative Diseases (DE), MIND Research Institute (US), Collaborative Group (United States) (US), Nephrologisches Zentrum Goettingen (DE), Paracelsus Elena Klinik Kassel (DE), Short and Associates (United States) (US), Bruyère (CA), Research Network (United States) (US), Ottawa Hospital Research Institute (CA), uOttawa Brain and Mind Research Institute, Carleton University (CA)
Michael J. Fox Foundation for Parkinson's Research, TD Bank, University of Ottawa, Parkinson Canada, Deutsche Parkinson Vereinigung, Ottawa Hospital Foundation
Quality Education
Openalex Percentile: Top 12%
Olfactory and Sensory Function Studies
2.93
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