Hyposmia correlates with axial signs and gait disorder in Parkinson's disease: an Italian Olfactory Identification Test study.

Hyposmia IOIT Motor sign Olfaction Parkinson’s disease

Journal

Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology
ISSN: 1590-3478
Titre abrégé: Neurol Sci
Pays: Italy
ID NLM: 100959175

Informations de publication

Date de publication:
19 Mar 2024
Historique:
received: 23 11 2023
accepted: 11 03 2024
medline: 19 3 2024
pubmed: 19 3 2024
entrez: 19 3 2024
Statut: aheadofprint

Résumé

Olfactory dysfunction is a non-motor symptom and an important biomarker of Parkinson's disease (PD) because of its high prevalence (> 90%). Whether hyposmia correlates with motor symptoms is unclear. In the present study, we aim to investigate the relationship between olfactory impairment with both motor and non-motor features and disease variables (disease duration, stage, and severity). One-hundred fifty-four PD patients were evaluated. Odor identification ability was tested using Italian Olfactory Identification Test (IOIT). A comprehensive spectrum of motor and non-motor features was assessed. Cognitive function was investigated through MMSE. Patients were divided into 3 different clinical phenotypes using UPDRS-III: tremor-dominant type (TDT), akinetic-rigid type (ART), and mixed type (MXT). Three of the 33 IOIT items were most frequently misidentified: basil (74.3%), coffee (66.9%), and mushroom (59.6%). Hyposmia was found in 93%. Hyposmic patients were older than controls (p = 0.01). Hoehn & Yahr (H&Y) score of 2 or greater was associated with higher probability of being hyposmic (OR = 5.2, p = 0.01). IOIT score did not significantly differ between TDT, ART, and MXT of analyzed PD patients. Performance to IOIT inversely correlated with age (p < 0.01), disease duration (p = 0.01), and H&Y score of 2 or higher (p < 0.01). Clinical features that associated with higher IOIT score were freezing of gait (FOG) (p < 0.001) and camptocormia (p < 0.05). In our cohort, IOIT scores showed a positive correlation with axial motor signs, but not with non-motor symptoms. IOIT may be a useful tool not only for supporting PD diagnosis but also for providing prognostic information about motor function.

Sections du résumé

BACKGROUND BACKGROUND
Olfactory dysfunction is a non-motor symptom and an important biomarker of Parkinson's disease (PD) because of its high prevalence (> 90%). Whether hyposmia correlates with motor symptoms is unclear. In the present study, we aim to investigate the relationship between olfactory impairment with both motor and non-motor features and disease variables (disease duration, stage, and severity).
METHODS METHODS
One-hundred fifty-four PD patients were evaluated. Odor identification ability was tested using Italian Olfactory Identification Test (IOIT). A comprehensive spectrum of motor and non-motor features was assessed. Cognitive function was investigated through MMSE. Patients were divided into 3 different clinical phenotypes using UPDRS-III: tremor-dominant type (TDT), akinetic-rigid type (ART), and mixed type (MXT).
RESULTS RESULTS
Three of the 33 IOIT items were most frequently misidentified: basil (74.3%), coffee (66.9%), and mushroom (59.6%). Hyposmia was found in 93%. Hyposmic patients were older than controls (p = 0.01). Hoehn & Yahr (H&Y) score of 2 or greater was associated with higher probability of being hyposmic (OR = 5.2, p = 0.01). IOIT score did not significantly differ between TDT, ART, and MXT of analyzed PD patients. Performance to IOIT inversely correlated with age (p < 0.01), disease duration (p = 0.01), and H&Y score of 2 or higher (p < 0.01). Clinical features that associated with higher IOIT score were freezing of gait (FOG) (p < 0.001) and camptocormia (p < 0.05).
CONCLUSIONS CONCLUSIONS
In our cohort, IOIT scores showed a positive correlation with axial motor signs, but not with non-motor symptoms. IOIT may be a useful tool not only for supporting PD diagnosis but also for providing prognostic information about motor function.

Identifiants

pubmed: 38499888
doi: 10.1007/s10072-024-07462-3
pii: 10.1007/s10072-024-07462-3
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2024. Fondazione Società Italiana di Neurologia.

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Auteurs

Nicola Tambasco (N)

Movement Disorders Center, Neurology Department, Perugia General Hospital and University of Perugia, Perugia, Italy. n.tambasco@libero.it.
Neurology Department, Perugia General Hospital and University of Perugia, Perugia, Italy. n.tambasco@libero.it.

Alessandro Mechelli (A)

Neurology Department, Perugia General Hospital and University of Perugia, Perugia, Italy.
Institute of Neurology, Department of Medical and Surgical Sciences, Magna Graecia University, Catanzaro, Italy.

Pasquale Nigro (P)

Movement Disorders Center, Neurology Department, Perugia General Hospital and University of Perugia, Perugia, Italy.

Simone Simoni (S)

Movement Disorders Center, Neurology Department, Perugia General Hospital and University of Perugia, Perugia, Italy.

Federico Paolini Paoletti (F)

Neurology Department, Perugia General Hospital and University of Perugia, Perugia, Italy.

Paolo Eusebi (P)

Neurology Department, Perugia General Hospital and University of Perugia, Perugia, Italy.

Elona Brahimi (E)

Neurology Department, Regina Montis Regalis Hospital, Cuneo, Italy.

Carlo Maremmani (C)

Neurology Unit, Ospedale Apuane, Azienda USL Toscana Nord Ovest, Massa, Italy.

Lucilla Parnetti (L)

Neurology Department, Perugia General Hospital and University of Perugia, Perugia, Italy.

Classifications MeSH