The predictive role of olfactory identification on episodic memory and mild cognitive impairment: Results from the CIMA-Q cohort

BackgroundOlfactory identification decline is a known early marker of Alzheimer's disease and is already present at the mild cognitive impairment (MCI) stage. While being linked with episodic memory, its predictive value for cognitive performance and distinguishing between clinical stages remains unclear.ObjectiveThis study examined (1) the predictive value of olfactory identification for episodic memory performance and (2) its utility for discriminating individuals with MCI from those with subjective cognitive decline (SCD).MethodsParticipants included 45 individuals with MCI (mean age = 80.08, SD = 5.86) and 48 with SCD (mean age = 75.82, SD = 5.64) from the Consortium for the Early Identification of Alzheimer's Disease-Quebec cohort. We evaluated olfactory identification with the University of Pennsylvania Smell Identification Test (UPSIT), and episodic memory with the Rey Auditory Verbal Learning Test (RAVLT). LASSO regression models were used to predict RAVLT total and delayed recall scores, using 80% of data for training and 20% for testing.ResultsUPSIT significantly predicted both RAVLT total (β = 0.45, <i>p</i> = 0.03) and delayed recall (β = 0.18, <i>p</i> = 0.02), independent of diagnostic group. Including UPSIT in the models increased explained variance from 9% to 19% for total recall, and from 8% to 20% for delayed recall. The MCI group had significantly lower UPSIT performance than the SCD group (<i>p</i> = 0.01). Linear discriminant analysis yielded 69% classification accuracy, with higher specificity (79%) than sensitivity (58%).ConclusionsOlfactory identification enhances prediction of episodic memory performance and may be used as a cost-effective, non-invasive early screening tool for MCI.

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Publication Details

Journal
Journal of Alzheimer s Disease
Published
2025-09-12
DOI
https://doi.org/10.1177/13872877251378386
Citations
2
Primary Topic
Olfactory and Sensory Function Studies
Type
article
Field-Weighted Citation Impact
2.93

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article

The predictive role of olfactory identification on episodic memory and mild cognitive impairment: Results from the CIMA-Q cohort

Johannes Frasnelli, Benjamin Boller, Benoît Jobin, Natalie A. Phillips
2 citations
Journal of Alzheimer s Disease
Olfactory and Sensory Function Studies
2.93
article

The predictive role of olfactory identification on episodic memory and mild cognitive impairment: Results from the CIMA-Q cohort

Johannes Frasnelli, Benjamin Boller, Benoît Jobin, Natalie A. Phillips
article en
2 citations

Abstract

BackgroundOlfactory identification decline is a known early marker of Alzheimer's disease and is already present at the mild cognitive impairment (MCI) stage. While being linked with episodic memory, its predictive value for cognitive performance and distinguishing between clinical stages remains unclear.ObjectiveThis study examined (1) the predictive value of olfactory identification for episodic memory performance and (2) its utility for discriminating individuals with MCI from those with subjective cognitive decline (SCD).MethodsParticipants included 45 individuals with MCI (mean age = 80.08, SD = 5.86) and 48 with SCD (mean age = 75.82, SD = 5.64) from the Consortium for the Early Identification of Alzheimer's Disease-Quebec cohort. We evaluated olfactory identification with the University of Pennsylvania Smell Identification Test (UPSIT), and episodic memory with the Rey Auditory Verbal Learning Test (RAVLT). LASSO regression models were used to predict RAVLT total and delayed recall scores, using 80% of data for training and 20% for testing.ResultsUPSIT significantly predicted both RAVLT total (β = 0.45, <i>p</i> = 0.03) and delayed recall (β = 0.18, <i>p</i> = 0.02), independent of diagnostic group. Including UPSIT in the models increased explained variance from 9% to 19% for total recall, and from 8% to 20% for delayed recall. The MCI group had significantly lower UPSIT performance than the SCD group (<i>p</i> = 0.01). Linear discriminant analysis yielded 69% classification accuracy, with higher specificity (79%) than sensitivity (58%).ConclusionsOlfactory identification enhances prediction of episodic memory performance and may be used as a cost-effective, non-invasive early screening tool for MCI.

Journal of Alzheimer s DiseaseVol. 110(1_suppl)
Jewish General Hospital (CA), Centre for Research on Brain Language and Music (CA), Institut Universitaire de Gériatrie de Montréal (CA), Hôpital du Sacré-Cœur de Montréal (CA), McGill University (CA), Concordia University (CA), Université du Québec à Trois-Rivières (CA)
Université du Québec à Trois-Rivières, Réseau québécois de recherche sur le vieillissement, Courtois Foundation, Canadian Institutes of Health Research
Openalex Percentile: Top 9%
Olfactory and Sensory Function Studies
2.93
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