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Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
Published on: July 24, 2019
Methods to detect anxiety in Parkinsons' disease
Anette Schrag1, Ruby Lyall2, Saghi Arabi2
1Department of Clinical and Movement Neurosciences, University College London, U3, Rowland Hill Street, London, NW3 2PF, UK. a.schrag@ucl.ac.uk.
Standardized scales are better for diagnosing anxiety in Parkinson's disease (PD) patients than self-reports. Aligning cutoffs across scales improves study comparability and clinical relevance for anxiety in PD.
Area of Science:
- Neurology
- Psychiatry
- Clinical Research
Background:
- Anxiety is a frequent comorbidity in Parkinson's disease (PD), impacting patient well-being.
- Current classification of anxiety in PD lacks standardization, partly due to varied assessment tools.
Purpose of the Study:
- To compare different anxiety assessment tools in Parkinson's disease.
- To establish comparable cut-offs for anxiety screening across instruments.
- To evaluate the clinical relevance of anxiety classification using quality of life measures.
Main Methods:
- 122 participants with Parkinson's disease were assessed using multiple anxiety instruments.
- Youden indices were calculated to determine optimal cut-offs for each scale.
- Agreement between scales and correlation with the Parkinson's Anxiety Scale (PAS) and PDQ-39 scores were analyzed.
Main Results:
- 50% of PD patients met the anxiety threshold on the PAS (cutoff 14).
- The GAD7 (54%, cutoff 4/5) and MDS-NMS anxiety subdomain (55%, cutoff 13/14) showed good agreement with the PAS.
- Anxiety identified by standardized scales, but not self-report, correlated with poorer health-related quality of life (PDQ-39 scores).
Conclusions:
- Standardized anxiety scales with established cut-offs are more reliable for identifying anxiety in Parkinson's disease than self-report or prior diagnoses.
- Aligning cut-offs across different anxiety assessment tools can enhance comparability in PD research.
- Consistent anxiety assessment is crucial for understanding its impact on quality of life in Parkinson's disease.
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