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Clinically relevant cut-off values for the Parkinson's Disease Sleep Scale-2 (PDSS-2): a validation study
Maria-Lucia Muntean1, Heike Benes2, Friederike Sixel-Döring3
1Paracelsus Elena Hospital, Kassel, Germany; Department of Clinical Neurophysiology, University of Göttingen, Göttingen, Germany.
Sleep Medicine
|November 5, 2016
Summary
Sleep disturbances are common in Parkinson's disease (PD). A score of 18 or higher on the Parkinson's Disease Sleep Scale-2 (PDSS-2) indicates clinically relevant sleep problems in PD patients.
Area of Science:
- Neurology
- Sleep Medicine
- Clinical Assessment
Background:
- Sleep disturbances significantly impact Parkinson's disease (PD) patient care.
- The Parkinson's Disease Sleep Scale-2 (PDSS-2) is a validated patient self-rating scale for PD-specific sleep issues.
- Establishing cut-off scores for PDSS-2 is crucial for identifying patients needing intervention.
Purpose of the Study:
- To determine PDSS-2 cut-off values for clinically significant sleep disturbances in European Parkinson's disease patients.
- To identify thresholds indicating the need for referral to a sleep center or specific treatment.
Main Methods:
- Inclusion of inpatients with idiopathic PD.
- Administration of the PDSS-2 to patients.
- Physician evaluation of sleep problems (blinded to PDSS-2 scores).
- Statistical analysis to correlate PDSS-2 scores with physician assessments and establish cut-off values.
Main Results:
- PDSS-2 demonstrated 77.6% sensitivity and 74.3% specificity for physician-evaluated PD-specific sleep problems.
- A PDSS-2 score of 18 or higher identified 83% of patients with clinically relevant sleep disturbances.
- PDSS-2 total score showed a moderate correlation (r=0.49) with the severity of PD-specific sleep problems.
Conclusions:
- This study establishes PDSS-2 cut-off values for sleep disturbance severity in a European PD cohort.
- A PDSS-2 score of ≥18 is indicative of clinically relevant, PD-specific sleep disturbances.
- These findings aid in the clinical assessment and management of sleep issues in Parkinson's disease.

