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Neuropsychiatric disturbances in Parkinson's disease clusters in five groups with different prevalence of dementia
Author(s) -
Bronnick K.,
Aarsland D.,
Larsen J. P.
Publication year - 2005
Publication title -
acta psychiatrica scandinavica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.849
H-Index - 146
eISSN - 1600-0447
pISSN - 0001-690X
DOI - 10.1111/j.1600-0447.2005.00562.x
Subject(s) - apathy , dementia , depression (economics) , parkinson's disease , cluster (spacecraft) , anxiety , psychiatry , disease , medicine , psychology , computer science , economics , macroeconomics , programming language
Objective: To investigate the inter‐relationship of neuropsychiatric disturbances in Parkinson's disease (PD) by cluster analysis and describe the properties of the clusters. Method: A total of 139 patients were assessed using the neuropsychiatric inventory (NPI). A cluster‐analysis was used to investigate the inter‐relationship of NPI items. The clusters were profiled regarding dementia (PDD) and major depression. Results: A total of 39 patients showed no neuropsychiatric symptoms. The remaining 100 patients (43% PDD) were divided in to five clusters. The largest group (42, 31% PDD) showed symptoms of mild depression, followed by a group (29, 79.3% PDD) with hallucinations and mild other symptoms. The third group (14, 7.1% PDD) had sleep disturbances exclusively. The fourth group (8, 25% PDD) showed apathy, anxiety and depression. The smallest group (7, 57.1% PDD) had high scores on several NPI items. Conclusion: Our PD sample can be divided in to clusters based on the NPI, with different prevalence of dementia and depression.