Comparing the accuracy and neuroanatomical correlates of the UPSIT-40 and the Sniffin' Sticks test in REM sleep behavior disorder.


Journal

Parkinsonism & related disorders
ISSN: 1873-5126
Titre abrégé: Parkinsonism Relat Disord
Pays: England
ID NLM: 9513583

Informations de publication

Date de publication:
08 2019
Historique:
received: 26 08 2018
revised: 30 05 2019
accepted: 19 06 2019
pubmed: 30 6 2019
medline: 1 7 2020
entrez: 30 6 2019
Statut: ppublish

Résumé

Olfactory impairment increases the risk of developing neurodegenerative diseases in patients with idiopathic REM sleep behavior disorder (IRBD). Knowing the test properties of distinct olfactory measures could contribute to their selection for clinical or research purposes. To compare the accuracy in distinguishing IRBD patients from controls with the University of Pennsylvania Smell Identification Test (UPSIT-40) and Sniffin' Sticks Extended test, and to assess the gray-matter volume correlates of these tests. Twenty-one patients with IRBD and 27 healthy controls were assessed using both olfactory tests. Independent logistic regressions were computed with diagnosis as a dependent variable and olfactory measures as predictive variables. Receiver operating characteristic curves were computed for each olfactory subtest. Diagnostic accuracy for IRBD was calculated according to the resulting optimal cut-off score. Structural MRI data, acquired with a 3T scanner, were analyzed with voxel-based morphometry. Patients differed from controls in all olfactory measures. The Sniffin-Identification correctly classified 89.1% of cases; the UPSIT-40, 85.4%; the Sniffin-Discrimination, 82.6%; the Sniffin-Total, 81.8%; and the Sniffin-Threshold, 77.3%. Respective AUROC, optimal cut-off, sensitivity, and specificity for each test were: 0.902, ≤26, 85.7%, and 85.2% for the UPSIT-40; 0.884, ≤29, 89.5%, and 76.0% for the Sniffin-Total; 0.922, ≤11, 90.5%, and 88.0% for the Sniffin-Identification; 0.739, ≤4, 73.7%, and 76.0% for the Sniffin-Threshold; and 0.838, ≤11, 85.7%, and 76.0% for the Sniffin-Discrimination. UPSIT-40 scores correlated with gray-matter volumes in orbitofrontal regions in anosmic patients. UPSIT-40 and Sniffin' Identification showed similar discrimination accuracy, but only the UPSIT-40 showed structural correlates (p ≤ .05 FDR-corrected).

Sections du résumé

BACKGROUND
Olfactory impairment increases the risk of developing neurodegenerative diseases in patients with idiopathic REM sleep behavior disorder (IRBD). Knowing the test properties of distinct olfactory measures could contribute to their selection for clinical or research purposes.
OBJECTIVE
To compare the accuracy in distinguishing IRBD patients from controls with the University of Pennsylvania Smell Identification Test (UPSIT-40) and Sniffin' Sticks Extended test, and to assess the gray-matter volume correlates of these tests.
METHOD
Twenty-one patients with IRBD and 27 healthy controls were assessed using both olfactory tests. Independent logistic regressions were computed with diagnosis as a dependent variable and olfactory measures as predictive variables. Receiver operating characteristic curves were computed for each olfactory subtest. Diagnostic accuracy for IRBD was calculated according to the resulting optimal cut-off score. Structural MRI data, acquired with a 3T scanner, were analyzed with voxel-based morphometry.
RESULTS
Patients differed from controls in all olfactory measures. The Sniffin-Identification correctly classified 89.1% of cases; the UPSIT-40, 85.4%; the Sniffin-Discrimination, 82.6%; the Sniffin-Total, 81.8%; and the Sniffin-Threshold, 77.3%. Respective AUROC, optimal cut-off, sensitivity, and specificity for each test were: 0.902, ≤26, 85.7%, and 85.2% for the UPSIT-40; 0.884, ≤29, 89.5%, and 76.0% for the Sniffin-Total; 0.922, ≤11, 90.5%, and 88.0% for the Sniffin-Identification; 0.739, ≤4, 73.7%, and 76.0% for the Sniffin-Threshold; and 0.838, ≤11, 85.7%, and 76.0% for the Sniffin-Discrimination. UPSIT-40 scores correlated with gray-matter volumes in orbitofrontal regions in anosmic patients.
CONCLUSIONS
UPSIT-40 and Sniffin' Identification showed similar discrimination accuracy, but only the UPSIT-40 showed structural correlates (p ≤ .05 FDR-corrected).

Identifiants

pubmed: 31253493
pii: S1353-8020(19)30276-7
doi: 10.1016/j.parkreldis.2019.06.013
pii:
doi:

Types de publication

Comparative Study Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

197-202

Informations de copyright

Copyright © 2019 The Authors. Published by Elsevier Ltd.. All rights reserved.

Auteurs

A Campabadal (A)

Medical Psychology Unit, Department of Medicine. Institute of Neuroscience, University of Barcelona, Barcelona, Catalonia, Spain. Electronic address: anna.campabadal@ub.edu.

B Segura (B)

Medical Psychology Unit, Department of Medicine. Institute of Neuroscience, University of Barcelona, Barcelona, Catalonia, Spain; Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Hospital Clínic de Barcelona, Barcelona, Spain. Electronic address: bsegura@ub.edu.

C Junque (C)

Medical Psychology Unit, Department of Medicine. Institute of Neuroscience, University of Barcelona, Barcelona, Catalonia, Spain; Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Hospital Clínic de Barcelona, Barcelona, Spain; Institute of Biomedical Research August Pi i Sunyer (IDIBAPS), Barcelona, Catalonia, Spain. Electronic address: cjunque@ub.edu.

M Serradell (M)

Neurology Service, Multidisciplinary Sleep Unit, Hospital Clínic, Barcelona, Spain. Electronic address: narcolps@clinic.cat.

A Abos (A)

Medical Psychology Unit, Department of Medicine. Institute of Neuroscience, University of Barcelona, Barcelona, Catalonia, Spain. Electronic address: alexandraabos@ub.edu.

C Uribe (C)

Medical Psychology Unit, Department of Medicine. Institute of Neuroscience, University of Barcelona, Barcelona, Catalonia, Spain. Electronic address: carme.uribe@ub.edu.

H C Baggio (HC)

Medical Psychology Unit, Department of Medicine. Institute of Neuroscience, University of Barcelona, Barcelona, Catalonia, Spain. Electronic address: hbaggio@ub.edu.

C Gaig (C)

Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Hospital Clínic de Barcelona, Barcelona, Spain; Neurology Service, Multidisciplinary Sleep Unit, Hospital Clínic, Barcelona, Spain. Electronic address: cgaig@clinic.cat.

J Santamaria (J)

Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Hospital Clínic de Barcelona, Barcelona, Spain; Neurology Service, Multidisciplinary Sleep Unit, Hospital Clínic, Barcelona, Spain. Electronic address: jsanta@clinic.cat.

N Bargallo (N)

Centre de Diagnòstic per la Imatge, Hospital Clínic, Barcelona, Catalonia, Spain. Electronic address: bargallo@clinic.cat.

A Iranzo (A)

Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED), Hospital Clínic de Barcelona, Barcelona, Spain; Neurology Service, Multidisciplinary Sleep Unit, Hospital Clínic, Barcelona, Spain. Electronic address: airanzo@clinic.cat.

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