Early morning off in patients with Parkinson's disease: a Chinese nationwide study and a 7-question screening scale

Managing sleep issues in Parkinson's disease: an up-to-date review

INTRODUCTION

In Parkinson's disease (PD), sleep-wake problems are disease-related symptoms that occur throughout the day and have a negative impact on patients' quality of life to an extent that is equal to or greater than that of typical motor symptoms.

AREAS COVERED

Insomnia due to fragmented sleep and excessive daytime sleepiness (EDS) worsen as PD progresses. Nighttime wearing-off and early morning-off should be considered first when fragmented sleep is reported in PD patients. If the main complaint of patients with insomnia is difficulty falling asleep, restless legs syndrome should be differentiated first. Obstructive sleep apnea causes sleep quality deterioration and fragmented sleep. For rapid eye movement sleep behavior disorder (RBD), preventative measures against sleep-related trauma are necessary. RBD has also attracted attention as a PD precursor state and as a disease progression marker that is associated with specific PD clinical subtypes. In PD patients, the sleep-wake phase may advance/delay or become irregular due to circadian dysfunction.

EXPERT OPINION

Importantly, sleep-wake problems are core symptoms related to the pathogenesis and progression of PD, and addressing a wide range of these symptoms will improve patients' quality of life.

Prevalence and associations of self-reported sleep problems in a large sample of patients with Parkinson's disease

Sleep problems are important comorbid features of, and risk factors for, neurodegenerative diseases such as Parkinson's disease (PD). To assess the prevalence and associations of sleep problems in patients with PD we analysed data from almost 54,000 participants in the Fox Insight study, including data from 38,588 patients with PD. Sleep problems are common in PD, with ~84% of respondents with PD reporting difficulty falling or staying asleep. Experiences of insomnia, restless leg syndrome, vivid dreams, acting out dreams, and the use of sleep medication are over-represented in patients with PD compared with matched healthy controls. Male sex and PD onset before the age of 50 were also associated with a greater risk of sleep problems. A physician diagnosis of insomnia was associated with more symptoms of depression, impairment of cognition-dependent independence, and a lower quality of life. Sleep problems were also associated with a higher prevalence of OFF periods compared with PD patients without sleep problems. 6.7% of PD patients endorsed sleep complaints as their most bothersome symptom, and reported non-specific poor sleep quality as the most common sleep problem. These patients also had a better quality of life and lower depression and cognitive impairments than patients for whom postural instability was their most bothersome symptom, indicating the relative burden of sleep problems is contextualised by the severity of motor symptoms. Overall, these findings reinforce the high prevalence of sleep problems in a very large sample of PD patients, and indicate important associations of sleep problems with daily function and quality of life in PD.

Non-Motor Fluctuations in Parkinson's Disease: Underdiagnosed Yet Important

Non-motor fluctuations (NMFs) in Parkinson's disease (PD) significantly affect patients' well-being. Despite being identified over two decades ago, NMFs remain largely underrecognized, undertreated, and poorly understood. While they are often temporally associated with motor fluctuations (MFs) and can share common risk factors and pathophysiologic mechanisms, NMFs and MFs are currently considered distinct entities. The prevalence and severity of NMFs, often categorized into neuropsychiatric, sensory, and autonomic subtypes, vary significantly across studies due to the heterogeneous PD populations screened and the diverse evaluation tools applied. The consistent negative impact of NMFs on PD patients' quality of life underscores the importance of further investigations via focused and controlled studies, validated assessment instruments and novel digital technologies. High-quality research is essential to illuminate the complex pathophysiology and clinical nuances of NMFs, ultimately enhancing clinicians' diagnostic and treatment options in routine clinical practice.

Parkinson's Kinetigraph for Wearable Sensor Detection of Clinically Unrecognized Early-Morning Akinesia in Parkinson's Disease: A Case Report-Based Observation

Early-morning off periods, causing early-morning akinesia, can lead to significant motor and nonmotor morbidity in levodopa-treated fluctuating Parkinson's disease (PD) cases. Despite validated bedside scales in clinical practice, such early-morning off periods may remain undetected unless specific wearable technologies, such as the Parkinson's KinetiGraph™ (PKG) watch, are used. We report five PD cases for whom the PKG detected early-morning off periods that were initially clinically undetected and as such, untreated. These five cases serve as exemplars of this clinical gap in care. Post-PKG assessment, clinicians were alerted and targeted therapies helped abolish the early-morning off periods.

Chronobiology of Parkinson's disease: Past, present and future

Parkinson's disease is a neurodegenerative disorder predominately affecting midbrain dopaminergic neurons that results in a broad range of motor and non-motor symptoms. Sleep complaints are among the most common non-motor symptoms, even in the prodromal period. Sleep alterations in Parkinson's disease patients may be associated with dysregulation of circadian rhythms, intrinsic 24-h cycles that control essential physiological functions, or with side effects from levodopa medication and physical and mental health challenges. The impact of circadian dysregulation on sleep disturbances in Parkinson's disease is not fully understood; as such, we review the systems, cellular and molecular mechanisms that may underlie circadian perturbations in Parkinson's disease. We also discuss the potential benefits of chronobiology-based personalized medicine in the management of Parkinson's disease both in terms of behavioural and pharmacological interventions. We propose that a fuller understanding of circadian clock function may shed important new light on the aetiology and symptomatology of the disease and may allow for improvements in the quality of life for the millions of people with Parkinson's disease.

Technological evaluation of strategies to get out of bed by people with Parkinson's disease: Insights from multisite wearable sensors

Background

Difficulty getting out of bed is a common night-time and early morning manifestation of Parkinson's disease (PD), rated by 40% of the patients as their most concerning motor symptoms. However, current assessment methods are based on clinical interviews, video analysis, and clinical scales as objective outcome measures are not yet available.

Objective

To study the technical feasibility of multisite wearable sensors in the assessment of the supine-to-stand (STS) task as a determinant of the ability to get out of bed in patients with PD and age-matched control subjects, and develop relevant objective outcome measures.

Methods

The STS task was assessed in 32 patients with PD (mean Hoehn and Yahr; HY = 2.5) in the early morning before their first dopaminergic medication, and in 14 control subjects, using multisite wearable sensors (NIGHT-Recorder®; trunk, both wrists, and both ankles) in a sleep laboratory. Objective getting out of bed parameters included duration, onset, velocity and acceleration of truncal rotation, and angle deviation (a°) from the z-axis when subjects rose from the bed at different angles from the x-axis (10°, 15°, 30°, 45°, and 60°) as measures of truncal lateral flexion. Movement patterns were identified from the first body part or parts that moved. Correlation analysis was performed between these objective outcomes and standard clinical rating scales.

Results

Compared to control subjects, the duration of STS was significantly longer in patients with PD (p = 0.012), which is associated with a significantly slower velocity of truncal rotation (p = 0.003). Moderate and significant correlations were observed between the mean STS duration and age, and the Nocturnal Hypokinesia Questionnaire. The velocity of truncal rotation negatively and significantly correlated with HY staging. Any arm and leg moved together as the first movement significantly correlated with UPDRS-Axial and item #28. Several other correlations were also observed.

Conclusion

Our study was able to demonstrate the technical feasibility of using multisite wearable sensors to quantitatively assess early objective outcome measures of the ability of patients with PD to get out of bed, which significantly correlated with axial severity scores, suggesting that axial impairment could be a contributing factor in difficulty getting out of bed. Future studies are needed to refine these outcome measures for use in therapeutic trials related to nocturia or early morning akinesia in PD.

Nocturnal Sleep Problems Mediate the Impact on Quality of Life of Early Morning Off in Parkinson's Disease

Background: Early morning off (EMO) refers to off-states in the morning in people diagnosed with Parkinson's disease (PwPD). This study determined the clinical manifestations of EMO and the association with nocturnal sleep problems and quality of life (QOL) in Chinese PwPD.

Methods: In this multicenter, observational, cross-sectional study, data concerning the clinical manifestations of EMO were collected from PwPD in Shanghai by questionnaire. The stepwise logistic regression was performed to analyze the potential risk factors, as well as whether EMO was an independent risk factor for functional dependency in daily life. The mediation analyses were conducted to evaluate whether nocturnal sleep problems might mediate the association between EMO and the QOL.

Results: Among the 454 subjects evaluated, EMO occurred in 39.43% of PwPD across all disease stages. The prevalence of EMO increased as the Hoehn and Yahr stage increased and was observed in 35.60% of patients in stages 1–2.5 and 48.85% of patients in stages 3–5. EMO was associated with non-motor symptoms (NMSs). The predominant NMSs associated with EMO were nocturnal sleep problems (98.90%), mood/cognition impairment (93.90%), decreased attention/memory (91.60%), gastrointestinal symptoms (91.60%), and urinary urgency (90.50%). The QOL of PwPD with EMO was significantly reduced (P < 0.001). Moreover, nocturnal sleep problems might partially mediate this relationship (indirect effect: β = 13.458, 95% boot CI: 6.436, 22.042).

Conclusion: PwPD have EMO throughout all stages of the disease. Patients with EMO have severe motor symptoms and NMSs. EMO decreases the QOL in PwPD and this relationship is partially mediated by nocturnal sleep problems. In light of these findings, it is suggested that recognition and appropriate treatment of EMO and nocturnal sleep problems could improve the management of PwPD.

Comparing Objective and Subjective Measures of Parkinson's Disease Using the Parkinson's KinetiGraph

Background: Parkinson's disease (PD) is a neurodegenerative disease that can lead to impaired motor function and execution of activities of daily living (ADL). Since clinicians typically can only observe patients' symptoms during visits, prescribed medication schedules may not reflect the full range of symptoms experienced throughout the day. Therefore, objective tools are needed to provide comprehensive symptom data to optimize treatment. One such tool is the Parkinson's KinetiGraph^® (PKG), a wearable sensor that measures motor symptoms of Parkinson's disease.

Objective: To build a mathematical model to determine if PKG data measuring Parkinson's patients' motor symptoms can predict patients' ADL impairment.

Methods: Thirty-four patients with PD wore the PKG device for 6 days while performing their ADL. Patients' PKG scores for bradykinesia and dyskinesia, as well as their responses to a questionnaire asking if their ADL-level had been impacted by various motor symptoms, were used to build a multiple regression model predicting the patients' Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS) part II scores.

Results: Calculation of bradykinesia score response to medication showed that using a dosage response time of 30 min yielded a greater bradykinesia response than when the response time was set to 40, 50, 60, 70, 80, or 90 min. The overall multiple regression model predicting MDS-UPDRS part II score was significant (R² = 0.546, p < 0.001).

Conclusion: The PKG's ability to provide motor symptom data that correlates with clinical measures of ADL impairment suggests that it has strong potential as a tool for the assessment and management of Parkinson's disease motor symptoms.