The use of smell identification tests in the diagnosis of Parkinson's disease in Brazil.
Identifieur interne : 002031 ( PubMed/Corpus ); précédent : 002030; suivant : 002032The use of smell identification tests in the diagnosis of Parkinson's disease in Brazil.
Auteurs : Laura Silveira-Moriyama ; Margarete De Jesus Carvalho ; Regina Katzenschlager ; Aviva Petrie ; Ronald Ranvaud ; Egberto Reis Barbosa ; Andrew J. LeesSource :
- Movement disorders : official journal of the Movement Disorder Society [ 1531-8257 ] ; 2008.
English descriptors
- KwdEn :
- MESH :
- geographic : Brazil.
- diagnosis : Parkinson Disease.
- physiology : Discrimination (Psychology), Smell.
- physiopathology : Parkinson Disease.
- Adult, Female, Humans, Logistic Models, Male, Middle Aged, Neuropsychological Tests, Odors.
Abstract
Smell identification tests may be of routine clinical value in the differential diagnosis of PD but are subject to cultural variation and have not been systematically evaluated in the Brazilian population. We have applied culturally adapted translations of the University of Pennsylvania 40-item smell identification test (UPSIT-40) and the 16-item identification test from Sniffin' Sticks (SS-16) to nondemented Brazilian PD patients and controls. Pearson's correlation coefficient between the test scores was 0.76 (95% CI 0.70-0.81, n = 204, P < 0.001). To calculate reliability measures for each test we used the diagnosis (either PD or control) as outcome variable for separate logistic regression analyses using the score in the UPSIT-40 or the SS-16 as a covariate. The SS-16 specificity was 89.0% with a sensitivity of 81.1% (106 PD and 118 controls). The UPSIT-40 specificity was 83.5% and its sensitivity 82.1% (95 PD and 109 controls). Regression curves were used to associate an individual's smell test score with the probability of belonging to the PD, as opposed to the control group. Our data provide support for the use of the UPSIT-40 and SS-16 to help distinguish early PD from controls.
DOI: 10.1002/mds.22241
PubMed: 18785265
Links to Exploration step
pubmed:18785265Le document en format XML
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<author><name sortKey="Silveira Moriyama, Laura" sort="Silveira Moriyama, Laura" uniqKey="Silveira Moriyama L" first="Laura" last="Silveira-Moriyama">Laura Silveira-Moriyama</name>
<affiliation><nlm:affiliation>Reta Lila Weston Institute of Neurological Studies, UCL Institute of Neurology, London, United Kingdom.</nlm:affiliation>
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<author><name sortKey="Carvalho, Margarete De Jesus" sort="Carvalho, Margarete De Jesus" uniqKey="Carvalho M" first="Margarete De Jesus" last="Carvalho">Margarete De Jesus Carvalho</name>
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<author><name sortKey="Katzenschlager, Regina" sort="Katzenschlager, Regina" uniqKey="Katzenschlager R" first="Regina" last="Katzenschlager">Regina Katzenschlager</name>
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<author><name sortKey="Petrie, Aviva" sort="Petrie, Aviva" uniqKey="Petrie A" first="Aviva" last="Petrie">Aviva Petrie</name>
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<author><name sortKey="Ranvaud, Ronald" sort="Ranvaud, Ronald" uniqKey="Ranvaud R" first="Ronald" last="Ranvaud">Ronald Ranvaud</name>
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<author><name sortKey="Barbosa, Egberto Reis" sort="Barbosa, Egberto Reis" uniqKey="Barbosa E" first="Egberto Reis" last="Barbosa">Egberto Reis Barbosa</name>
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<author><name sortKey="Silveira Moriyama, Laura" sort="Silveira Moriyama, Laura" uniqKey="Silveira Moriyama L" first="Laura" last="Silveira-Moriyama">Laura Silveira-Moriyama</name>
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<front><div type="abstract" xml:lang="en">Smell identification tests may be of routine clinical value in the differential diagnosis of PD but are subject to cultural variation and have not been systematically evaluated in the Brazilian population. We have applied culturally adapted translations of the University of Pennsylvania 40-item smell identification test (UPSIT-40) and the 16-item identification test from Sniffin' Sticks (SS-16) to nondemented Brazilian PD patients and controls. Pearson's correlation coefficient between the test scores was 0.76 (95% CI 0.70-0.81, n = 204, P < 0.001). To calculate reliability measures for each test we used the diagnosis (either PD or control) as outcome variable for separate logistic regression analyses using the score in the UPSIT-40 or the SS-16 as a covariate. The SS-16 specificity was 89.0% with a sensitivity of 81.1% (106 PD and 118 controls). The UPSIT-40 specificity was 83.5% and its sensitivity 82.1% (95 PD and 109 controls). Regression curves were used to associate an individual's smell test score with the probability of belonging to the PD, as opposed to the control group. Our data provide support for the use of the UPSIT-40 and SS-16 to help distinguish early PD from controls.</div>
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<Title>Movement disorders : official journal of the Movement Disorder Society</Title>
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<Abstract><AbstractText>Smell identification tests may be of routine clinical value in the differential diagnosis of PD but are subject to cultural variation and have not been systematically evaluated in the Brazilian population. We have applied culturally adapted translations of the University of Pennsylvania 40-item smell identification test (UPSIT-40) and the 16-item identification test from Sniffin' Sticks (SS-16) to nondemented Brazilian PD patients and controls. Pearson's correlation coefficient between the test scores was 0.76 (95% CI 0.70-0.81, n = 204, P < 0.001). To calculate reliability measures for each test we used the diagnosis (either PD or control) as outcome variable for separate logistic regression analyses using the score in the UPSIT-40 or the SS-16 as a covariate. The SS-16 specificity was 89.0% with a sensitivity of 81.1% (106 PD and 118 controls). The UPSIT-40 specificity was 83.5% and its sensitivity 82.1% (95 PD and 109 controls). Regression curves were used to associate an individual's smell test score with the probability of belonging to the PD, as opposed to the control group. Our data provide support for the use of the UPSIT-40 and SS-16 to help distinguish early PD from controls.</AbstractText>
<CopyrightInformation>(c) 2008 Movement Disorder Society.</CopyrightInformation>
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<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Silveira-Moriyama</LastName>
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