Movement Disorders (revue)

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Depression comorbidity in spinocerebellar ataxia.

Identifieur interne : 001383 ( PubMed/Checkpoint ); précédent : 001382; suivant : 001384

Depression comorbidity in spinocerebellar ataxia.

Auteurs : Tanja Schmitz-Hübsch [Allemagne] ; Mathieu Coudert ; Sophie Tezenas Du Montcel ; Paola Giunti ; Robyn Labrum ; Alexandra Dürr ; Pascale Ribai ; Perrine Charles ; Christoph Linnemann ; Ludger Schöls ; Maryla Rakowicz ; Rafal Rola ; Elszbieta Zdzienicka ; Roberto Fancellu ; Caterina Mariotti ; Lazlo Baliko ; Bela Melegh ; Alessandro Filla ; Elena Salvatore ; Bart P C. Van De Warrenburg ; Sandra Szymanski ; Jon Infante ; Dagmar Timmann ; Sylvia Boesch ; Chantal Depondt ; Jun-Suk Kang ; Jörg B. Schulz ; Thomas Klopstock ; Nicole Lossnitzer ; Bernd Löwe ; Caroline Frick ; Daniela Rottl Nder ; Thomas E. Schlaepfer ; Thomas Klockgether

Source :

RBID : pubmed:21437988

English descriptors

Abstract

This is a description of the prevalence and profile of depressive symptoms in dominant spinocerebellar ataxia (SCA). Depressive symptoms were assessed in a convenience sample of 526 genetically confirmed and clinically affected patients (117 SCA1, 163 SCA2, 139 SCA3, and 107 SCA6) using the Patient Health Questionnaire (PHQ). In addition, depressive status according to the examiner and the use of antidepressants was recorded. Depression self-assessment was compared with an interview-based psychiatric assessment in a subset of 26 patients. Depression prevalence estimates were 17.1% according to the PHQ algorithm and 15.4% when assessed clinically. The sensitivity of clinical impression compared with PHQ classification was low (0.35), whereas diagnostic accuracy of PHQ compared with psychiatric interview in the subset was high. Antidepressants were used by 17.7% of patients and in >10% of patients without current clinically relevant depressive symptoms. Depression profile in SCA did not differ from a sample of patients with major depressive disorder except for the movement-related item. Neither depression prevalence nor use of antidepressants differed between genetic subtypes, with only sleep disturbance more common in SCA3. In a multivariate analysis, ataxia severity and female sex independently predicted depressive status in SCA. The PHQ algorithmic classification is appropriate for use in SCA but should stimulate further psychiatric evaluation if depression is indicated. Despite a higher risk for depression with more severe disease, the relation of depressive symptoms to SCA neurodegeneration remains to be shown.

DOI: 10.1002/mds.23698
PubMed: 21437988


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pubmed:21437988

Le document en format XML

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<div type="abstract" xml:lang="en">This is a description of the prevalence and profile of depressive symptoms in dominant spinocerebellar ataxia (SCA). Depressive symptoms were assessed in a convenience sample of 526 genetically confirmed and clinically affected patients (117 SCA1, 163 SCA2, 139 SCA3, and 107 SCA6) using the Patient Health Questionnaire (PHQ). In addition, depressive status according to the examiner and the use of antidepressants was recorded. Depression self-assessment was compared with an interview-based psychiatric assessment in a subset of 26 patients. Depression prevalence estimates were 17.1% according to the PHQ algorithm and 15.4% when assessed clinically. The sensitivity of clinical impression compared with PHQ classification was low (0.35), whereas diagnostic accuracy of PHQ compared with psychiatric interview in the subset was high. Antidepressants were used by 17.7% of patients and in >10% of patients without current clinically relevant depressive symptoms. Depression profile in SCA did not differ from a sample of patients with major depressive disorder except for the movement-related item. Neither depression prevalence nor use of antidepressants differed between genetic subtypes, with only sleep disturbance more common in SCA3. In a multivariate analysis, ataxia severity and female sex independently predicted depressive status in SCA. The PHQ algorithmic classification is appropriate for use in SCA but should stimulate further psychiatric evaluation if depression is indicated. Despite a higher risk for depression with more severe disease, the relation of depressive symptoms to SCA neurodegeneration remains to be shown.</div>
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<AbstractText>This is a description of the prevalence and profile of depressive symptoms in dominant spinocerebellar ataxia (SCA). Depressive symptoms were assessed in a convenience sample of 526 genetically confirmed and clinically affected patients (117 SCA1, 163 SCA2, 139 SCA3, and 107 SCA6) using the Patient Health Questionnaire (PHQ). In addition, depressive status according to the examiner and the use of antidepressants was recorded. Depression self-assessment was compared with an interview-based psychiatric assessment in a subset of 26 patients. Depression prevalence estimates were 17.1% according to the PHQ algorithm and 15.4% when assessed clinically. The sensitivity of clinical impression compared with PHQ classification was low (0.35), whereas diagnostic accuracy of PHQ compared with psychiatric interview in the subset was high. Antidepressants were used by 17.7% of patients and in >10% of patients without current clinically relevant depressive symptoms. Depression profile in SCA did not differ from a sample of patients with major depressive disorder except for the movement-related item. Neither depression prevalence nor use of antidepressants differed between genetic subtypes, with only sleep disturbance more common in SCA3. In a multivariate analysis, ataxia severity and female sex independently predicted depressive status in SCA. The PHQ algorithmic classification is appropriate for use in SCA but should stimulate further psychiatric evaluation if depression is indicated. Despite a higher risk for depression with more severe disease, the relation of depressive symptoms to SCA neurodegeneration remains to be shown.</AbstractText>
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<Initials>S</Initials>
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<Initials>N</Initials>
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<Month>03</Month>
<Day>21</Day>
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<Month>2</Month>
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<Month>8</Month>
<Day>25</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
</History>
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<ArticleId IdType="doi">10.1002/mds.23698</ArticleId>
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<li>Allemagne</li>
</country>
<region>
<li>District de Cologne</li>
<li>Rhénanie-du-Nord-Westphalie</li>
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<li>Bonn</li>
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<name sortKey="Coudert, Mathieu" sort="Coudert, Mathieu" uniqKey="Coudert M" first="Mathieu" last="Coudert">Mathieu Coudert</name>
<name sortKey="Depondt, Chantal" sort="Depondt, Chantal" uniqKey="Depondt C" first="Chantal" last="Depondt">Chantal Depondt</name>
<name sortKey="Durr, Alexandra" sort="Durr, Alexandra" uniqKey="Durr A" first="Alexandra" last="Dürr">Alexandra Dürr</name>
<name sortKey="Fancellu, Roberto" sort="Fancellu, Roberto" uniqKey="Fancellu R" first="Roberto" last="Fancellu">Roberto Fancellu</name>
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<name sortKey="Frick, Caroline" sort="Frick, Caroline" uniqKey="Frick C" first="Caroline" last="Frick">Caroline Frick</name>
<name sortKey="Giunti, Paola" sort="Giunti, Paola" uniqKey="Giunti P" first="Paola" last="Giunti">Paola Giunti</name>
<name sortKey="Infante, Jon" sort="Infante, Jon" uniqKey="Infante J" first="Jon" last="Infante">Jon Infante</name>
<name sortKey="Kang, Jun Suk" sort="Kang, Jun Suk" uniqKey="Kang J" first="Jun-Suk" last="Kang">Jun-Suk Kang</name>
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<name sortKey="Rakowicz, Maryla" sort="Rakowicz, Maryla" uniqKey="Rakowicz M" first="Maryla" last="Rakowicz">Maryla Rakowicz</name>
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<name sortKey="Rola, Rafal" sort="Rola, Rafal" uniqKey="Rola R" first="Rafal" last="Rola">Rafal Rola</name>
<name sortKey="Rottl Nder, Daniela" sort="Rottl Nder, Daniela" uniqKey="Rottl Nder D" first="Daniela" last="Rottl Nder">Daniela Rottl Nder</name>
<name sortKey="Salvatore, Elena" sort="Salvatore, Elena" uniqKey="Salvatore E" first="Elena" last="Salvatore">Elena Salvatore</name>
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<name sortKey="Schmitz Hubsch, Tanja" sort="Schmitz Hubsch, Tanja" uniqKey="Schmitz Hubsch T" first="Tanja" last="Schmitz-Hübsch">Tanja Schmitz-Hübsch</name>
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