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Profile of cognitive impairment in dementia associated with Parkinson’s disease compared with Alzheimer’s disease

Identifieur interne : 002B45 ( Main/Corpus ); précédent : 002B44; suivant : 002B46

Profile of cognitive impairment in dementia associated with Parkinson’s disease compared with Alzheimer’s disease

Auteurs : Kolbjorn Bronnick ; Murat Emre ; Roger Lane ; Sibel Tekin ; Dag Aarsland

Source :

RBID : ISTEX:3945D7E135EA9C1F422E54FCD30B65D1E17A6BD6

Abstract

Objective: To compare the profile of cognitive impairment in Alzheimer’s disease (AD) with dementia associated with Parkinson’s disease (PDD). Methods: Neuropsychological assessment was performed in 488 patients with PDD and 488 patients with AD using the Mini-Mental State Examination (MMSE) and the Alzheimer's Disease Assessment Scale-cognitive subscale (ADAS-cog). Logistic regression analysis was used to investigate whether the diagnosis could be accurately predicted from the cognitive profile. Additionally, the cognitive profiles were compared with a normative group using standardised effect sizes (Cohen’s d). Results: Diagnosis was predicted from the cognitive profile, with an overall accuracy of 74.7%. Poor performance of the AD patients on the orientation test in ADAS-cog best discriminated between the groups, followed by poor performance of the PDD patients on the attentional task in MMSE. Both groups showed memory impairment, AD patients performing worse than PDD patients. Conclusion: The cognitive profile in PDD differs significantly from that in AD. Performance on tests of orientation and attention are best in differentiating the groups.

Url:
DOI: 10.1136/jnnp.2006.108076

Links to Exploration step

ISTEX:3945D7E135EA9C1F422E54FCD30B65D1E17A6BD6

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<title>Methods:</title>
<p>Neuropsychological assessment was performed in 488 patients with PDD and 488 patients with AD using the Mini-Mental State Examination (MMSE) and the Alzheimer's Disease Assessment Scale-cognitive subscale (ADAS-cog). Logistic regression analysis was used to investigate whether the diagnosis could be accurately predicted from the cognitive profile. Additionally, the cognitive profiles were compared with a normative group using standardised effect sizes (Cohen’s d).</p>
</sec>
<sec>
<title>Results:</title>
<p>Diagnosis was predicted from the cognitive profile, with an overall accuracy of 74.7%. Poor performance of the AD patients on the orientation test in ADAS-cog best discriminated between the groups, followed by poor performance of the PDD patients on the attentional task in MMSE. Both groups showed memory impairment, AD patients performing worse than PDD patients.</p>
</sec>
<sec>
<title>Conclusion:</title>
<p>The cognitive profile in PDD differs significantly from that in AD. Performance on tests of orientation and attention are best in differentiating the groups.</p>
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<title>Profile of cognitive impairment in dementia associated with Parkinson’s disease compared with Alzheimer’s disease</title>
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<title>Profile of cognitive impairment in dementia associated with Parkinson’s disease compared with Alzheimer’s disease</title>
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<name type="personal">
<namePart type="given">Kolbjorn</namePart>
<namePart type="family">Bronnick</namePart>
<affiliation>Norwegian Centre for Movement Disorders, Stavanger University Hospital, Helse Stavanger, Norway</affiliation>
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<name type="personal">
<namePart type="given">Murat</namePart>
<namePart type="family">Emre</namePart>
<affiliation>Department of Neurology, Faculty of Medicine, Istanbul University, Turkey</affiliation>
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<name type="personal">
<namePart type="given">Roger</namePart>
<namePart type="family">Lane</namePart>
<affiliation>Novartis Pharmaceuticals, East Hanover, New Jersey, USA</affiliation>
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<name type="personal">
<namePart type="given">Sibel</namePart>
<namePart type="family">Tekin</namePart>
<affiliation>Novartis Pharmaceuticals, East Hanover, New Jersey, USA</affiliation>
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<roleTerm type="text">author</roleTerm>
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</name>
<name type="personal">
<namePart type="given">Dag</namePart>
<namePart type="family">Aarsland</namePart>
<affiliation>Norwegian Centre for Movement Disorders, Stavanger University Hospital, Helse Stavanger, Norway</affiliation>
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<topic>Memory disorders (neurology)</topic>
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<genre>hwp-journal-coll</genre>
<topic>Drugs: CNS (not psychiatric)</topic>
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<subject>
<genre>hwp-journal-coll</genre>
<topic>Memory disorders (psychiatry)</topic>
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<dateIssued encoding="w3cdtf">2007-10</dateIssued>
<dateCreated encoding="w3cdtf">2007-02-07</dateCreated>
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<abstract>Objective: To compare the profile of cognitive impairment in Alzheimer’s disease (AD) with dementia associated with Parkinson’s disease (PDD). Methods: Neuropsychological assessment was performed in 488 patients with PDD and 488 patients with AD using the Mini-Mental State Examination (MMSE) and the Alzheimer's Disease Assessment Scale-cognitive subscale (ADAS-cog). Logistic regression analysis was used to investigate whether the diagnosis could be accurately predicted from the cognitive profile. Additionally, the cognitive profiles were compared with a normative group using standardised effect sizes (Cohen’s d). Results: Diagnosis was predicted from the cognitive profile, with an overall accuracy of 74.7%. Poor performance of the AD patients on the orientation test in ADAS-cog best discriminated between the groups, followed by poor performance of the PDD patients on the attentional task in MMSE. Both groups showed memory impairment, AD patients performing worse than PDD patients. Conclusion: The cognitive profile in PDD differs significantly from that in AD. Performance on tests of orientation and attention are best in differentiating the groups.</abstract>
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<title>Journal of Neurology, Neurosurgery & Psychiatry</title>
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<title>J Neurol Neurosurg Psychiatry</title>
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<identifier type="ISSN">0022-3050</identifier>
<identifier type="eISSN">1468-330X</identifier>
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<identifier type="PublisherID-nlm-ta">J Neurol Neurosurg Psychiatry</identifier>
<part>
<date>2007</date>
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<caption>vol.</caption>
<number>78</number>
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<caption>no.</caption>
<number>10</number>
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<identifier type="istex">3945D7E135EA9C1F422E54FCD30B65D1E17A6BD6</identifier>
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