Predictive value of abbreviated olfactory tests in prodromal Parkinson disease.
Journal
NPJ Parkinson's disease
ISSN: 2373-8057
Titre abrégé: NPJ Parkinsons Dis
Pays: United States
ID NLM: 101675390
Informations de publication
Date de publication:
29 Jun 2023
29 Jun 2023
Historique:
received:
11
07
2022
accepted:
22
05
2023
medline:
30
6
2023
pubmed:
30
6
2023
entrez:
29
6
2023
Statut:
epublish
Résumé
There is disagreement in the literature whether olfaction may show specific impairments in Parkinson Disease (PD) and if olfactory tests comprised of selected odors could be more specific for diagnosis. We sought to validate previously proposed subsets of the University of Pennsylvania Smell Identification Test (UPSIT) odors for predicting conversion to PD in an independent, prodromal cohort. Conversion to PD was assessed in 229 participants in the Parkinson At Risk Study who completed baseline olfactory testing with the UPSIT and up to 12 years of clinical and imaging evaluations. No commercially available or proposed subset performed better than the full 40-item UPSIT. The proposed "PD-specific" subsets also did not perform better than expected by chance. We did not find evidence for selective olfactory impairment in Parkinson disease. Shorter odor identification tests, including commercially available 10-12 item tests, may have utility for ease of use and cost, but not for superior predictive value.
Identifiants
pubmed: 37386033
doi: 10.1038/s41531-023-00530-z
pii: 10.1038/s41531-023-00530-z
pmc: PMC10310835
doi:
Types de publication
Journal Article
Langues
eng
Pagination
103Subventions
Organisme : U.S. Department of Defense (United States Department of Defense)
ID : W81XWH-06-067
Organisme : U.S. Department of Defense (United States Department of Defense)
ID : W81XWH-06-067
Organisme : U.S. Department of Defense (United States Department of Defense)
ID : W81XWH-06-067
Organisme : U.S. Department of Defense (United States Department of Defense)
ID : W81XWH-06-067
Organisme : U.S. Department of Defense (United States Department of Defense)
ID : W81XWH-06-067
Investigateurs
John Seibyl
(J)
Matthew Stern
(M)
David Russell
(D)
Kapil Sethi
(K)
Samuel Frank
(S)
Tanya Simuni
(T)
Robert Hauser
(R)
Bernard Ravina
(B)
Irene Richards
(I)
Grace Liang
(G)
Charles Adler
(C)
Rachel Saunders-Pullman
(R)
Marian L Evatt
(ML)
Eugene Lai
(E)
Indu Subramanian
(I)
Penelope Hogarth
(P)
Kathryn Chung
(K)
Informations de copyright
© 2023. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.
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