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✦   LIBER   ✦

Non-recognition of depression and other non-motor symptoms in Parkinson's disease

✍ Scribed by L.M Shulman; R.L Taback; A.A Rabinstein; W.J Weiner


Book ID
117751744
Publisher
Elsevier Science
Year
2002
Tongue
English
Weight
166 KB
Volume
8
Category
Article
ISSN
1353-8020

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✦ Synopsis


Background: Depression, anxiety, fatigue and sleep disorders occur commonly in patients with Parkinson's disease (PD). These non-motor symptoms often contribute to the reduction of functional abilities in PD patients.

Objective: This study was designed to evaluate the diagnostic accuracy of the treating neurologist for a variety of behavioral symptoms commonly associated with PD.

Methods: A prospective evaluation of 101 patients with PD selected in no particular order was conducted. All patients were evaluated with the Uni®ed Parkinson's Disease Rating Scale (UPDRS), Hoehn & Yahr Stage (H/Y), and the Schwab & England Scale (S/E). The patients completed a brief screening questionnaire for depression and anxiety followed by the administration of a battery of standardized tests including the Beck Depression Inventory (BDI), Beck Anxiety Inventory (BAI), Fatigue Severity Scale (FSS), and the Pittsburgh Sleep Quality Inventory (PSQI).

Results: Standardized testing showed evidence of a problem with depression in 44% of patients, anxiety in 39%, fatigue in 42% and sleep disturbance in 43%. The prevalence of these conditions, identi®ed by the treating neurologist was lower: 21% with depression, 19% with anxiety, 14% with fatigue and 39% with sleep disturbance. The diagnostic accuracy for the treating neurologists was 35% for depression, 42% for anxiety, 25% for fatigue, and 60% for sleep disturbance.

Conclusion: This study demonstrates that during routine of®ce visits, neurologists failed to identify the presence of depression, anxiety, and fatigue more than half of the time and failed to recognize sleep disturbance in 40% of patients. Awareness of the likelihood of underrecognition of behavioral symptoms in PD should generate approaches to improve diagnostic accuracy and facilitate timely therapeutic interventions.


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