Wearable Evidence Linking Dyskinesia Burden to Sleep Quality in Parkinson Disease
Azoidou, V.; Bhadra, E.; Camboe, E.; Dey, K. C.; Zirra, A.; Rowsell, K.; Quah, C.; Budu, C.; Boyle, T.; Gallagher, D.; Bestwick, J.; Perez-Carbonell, L.; Noyce, A.; Simonet, C.
Show abstract
Background Sleep disturbances affect up to 60-80% of people with Parkinsons disease (PD) and are associated with worse clinical outcomes and reduced quality of life. Dyskinesia is a common motor complication of dopaminergic therapy, but its relationship with sleep quality remains incompletely defined. Methods Forty-seven people with PD (median age 68 years; 44.7% female; median disease duration 5 years; 38.3% from non-White ethnic background) were assessed for sleep quality on Pittsburgh Sleep Quality Index (PSQI). Dyskinesia was assessed using Movement Disorder Society-Unified Parkinsons Disease Rating Scale (MDS-UPDRS) Part IV items 4.1 and 4.2, and 7-day wearable monitoring with the Parkinsons KinetiGraph (PKG) to derive median dyskinesia score (DK_50) and fluctuation dyskinesia score (FDS). All analyses were conducted using multivariate regression. Associations with sleep quality were adjusted for age, sex, and disease severity (MDS-UPDRS Part III) in Model A; additionally for levodopa equivalent daily dose (LEDD) in Model B; and further for disease duration in Model C. Results In Model A, all four dyskinesia measures were significantly associated with sleep quality. After adjusting for LEDD in Model B, only DK_50 remained a significant predictor of worse sleep (B=0.18, 95CI: 0.003-0.357, P=0.047). With additional adjustment for disease duration in Model C, the association for DK_50 was attenuated (B=0.18, 95%CI: -0.001 to 0.356, P=0.051). Conclusions Wearable-derived continuous dyskinesia burden was independently associated with worse sleep quality, whereas clinician-rated dyskinesia was not, highlighting the added clinical value of objective motor monitoring in PD. Disease duration may partly confound this relationship. Larger prospective studies are warranted.
Matching journals
The top 2 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Age-related differences in the association between REM sleep and the polygenic risk for Parkinson's disease 95%
- RBDAct: Home screening of REM sleep behaviour disorder based on wrist actigraphy in Parkinson’s patients 94%
- α4β2 * Nicotinic Cholinergic Receptor Target Engagement in Parkinson Disease Gait-Balance Disorders 92%
Similar papers in this journal
- Non-Motor symptoms in prodromal Parkinson’s disease are linked to reduced Quality of Life 95%
- Handwriting patterns in Isolated Rapid Eye Movement Sleep Behaviour Disorder 94%
- Amplification parameters of the alpha-synuclein seed amplification assay on CSF predict the clinical subtype of Parkinson's Disease at 10-year follow-up 93%
Similar papers in this journal
- Voice of the patient: Emergence of new motor and non-motor symptoms in early Parkinsons Disease? 95%
- Quantitative Digitography Solves the Remote Measurement Problem in Parkinson’s disease 94%
- Slow Motion Analysis of Repetitive Tapping (SMART) test: measuring bradykinesia in recently diagnosed Parkinson’s disease and idiopathic anosmia 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.