Progression of fatigue in Parkinson's disease - a 9-year follow-up

[Factors associated with fatigue in patients with Parkinson's disease]

Fatigue is one of the most frequent non-motor symptoms associated with people with Parkinson's disease (PwPD). In this study, we investigated the relationship between fatigue and patients' background characteristics, disease severity, motor and non-motor symptoms, and cognitive and psychological assessments in PwPD. A total of 80 PwPD were included in this study, 40% of whom experienced fatigue. PwPD with fatigue were associated with being female, dyskinesia, and higher levels of levodopa equivalent daily dose, as well as increased severity of depression, apathy and sleep disturbances, in addition to lower quality of life. Fatigue in PwPD is a symptom that warrants clinical attention, as it is linked to multiple risk factors, indicating the need for further intervention studies that incorporate the perspective of personalized medicine.

Targeting neuroplasticity: a viewpoint on a future research direction with Parkinson's disease-related fatigue

Parkinson's disease-related fatigue has an insidious onset and complex pathomechanisms, causing many adverse effects on patients. In clinical practice, Parkinson's disease-related fatigue has not received sufficient attention, and its early diagnosis and targeted interventions are inadequate. Currently, pharmacological treatments for Parkinson's disease-related fatigue have limited efficacy and nonpharmacological therapies such as non-invasive brain stimulation techniques and exercise therapy have been shown to have a role in improving Parkinson's disease-related fatigue. Further studies have revealed that modulation of functional cortical excitability, induction of neuroplasticity changes, inhibition of oxidative stress, improvement of cardiorespiratory fitness, and enhancement of muscle strength may be potential mechanisms of action of non-pharmacological therapies. As relevant research continues to progress, targeted therapy based on the theory of neuroplasticity may become an important therapeutic idea for Parkinson's disease-related fatigue. This article provides an overview of the diagnosis, etiology, and treatment of Parkinson's disease-related fatigue, and on this basis proposes a new diagnostic and therapeutic idea of targeting neuroplasticity to improve Parkinson's disease-related fatigue for clinical reference. Further studies on the pathological mechanisms of Parkinson's disease-related fatigue are needed in the future to optimize the treatment regimen of Parkinson's disease-related fatigue to improve the efficacy of treatment for the benefit of patients.

The potential use of plasma NfL as a diagnostic and prognostic biomarker of fatigue in early Parkinson's disease

Background

Fatigue is a prevalent non-motor symptom that often appears in the early stages of Parkinson's disease (PD). Plasma neurofilament light chain (NfL) was elevated in PD patients and may be considered a potential biomarker for both motor and cognitive progression.

Objectives

In this study, we explored the association between plasma NfL levels and various fatigue subtypes and the prediction of baseline plasma NfL levels for fatigue subtype conversion.

Methods

Patients with PD were classified into four categories: persistent fatigue, never fatigue, non-persistent fatigue, and new-onset fatigue. They underwent detailed neurological evaluations at baseline and a 2-year follow-up. Plasma NfL, glial fibrillary acidic protein, phosphorylated tau181, amyloid beta 42, and Aβ40 levels in both PD patients and control subjects were measured using an ultrasensitive single molecule array.

Results

The study enrolled 174 PD patients and 95 control subjects. Plasma NfL levels were significantly higher in the persistent fatigue group compared to the never fatigue group at the 2-year follow-up (p < 0.05). Longitudinally, 45.16% of baseline fatigue patients converted to non-fatigue at the 2-year follow-up. Additionally, 22.12% of patients initially without-figure patients converted to fatigue patients at the 2-year follow-up. Baseline plasma NfL levels were significantly higher in both the persistent fatigue and new-onset fatigue groups compared to the never fatigue group (p < 0.05). Higher baseline NfL levels were significantly associated with new-onset fatigue (odds ratio = 1.127, p = 0.034) after adjusting for confounders.

Conclusion

Baseline plasma NfL levels may serve as a biomarker for predicting fatigue subtype conversion and the progression of fatigue in PD.

Exploring Fatigue in Parkinson's Disease: A Comprehensive Literature Review

Fatigue is one of the most prevalent and debilitating non-motor symptoms of Parkinson's disease (PD), affecting up to two-thirds of patients and significantly impacting quality of life. This review provides a comprehensive analysis of its complex pathophysiology, prevalence, clinical presentation, assessment methods, and current management strategies. Fatigue in PD is linked to dysfunction in dopaminergic and non-dopaminergic pathways, neuroinflammation, genetic predispositions, and metabolic dysregulation. Reported prevalence rates range from 36% to 60%, highlighting the need for standardized assessment tools and a universally accepted definition. Clinically, fatigue is characterized by an overwhelming and abnormal sense of exhaustion, often preceding motor symptoms by years. Distinguishing it from sleepiness, apathy, and depression is crucial for accurate diagnosis and treatment. Assessment primarily relies on patient-reported scales, such as the Fatigue Severity Scale and the Parkinson's Disease Fatigue Scale. Management includes both pharmacological and non-pharmacological approaches, with medications like methylphenidate and rasagiline showing potential, alongside physical exercise, cognitive behavioral therapy, and sleep disorder management. Further research is essential to unravel the underlying mechanisms, identify objective biomarkers, and develop more effective, targeted treatments for this burdensome symptom.

Association between fatigue and MDS-UPDRS in individuals with Parkinson's disease: cross-sectional study

BACKGROUND

Fatigue is significant in the context of Parkinson's disease (PD), considering that one-third of patients classify it as the most restricting symptom in their daily life activities (DLAs). The objective was to verify the relationship (association) between fatigue and non-motor and motor symptoms of PD.

METHODS

A cross-sectional study which included 100 individuals with PD. Initially, demographic and clinical data (modified Hoehn and Yahr scale-HY, anxiety, and depression) were collected. To assess the non-motor and motor symptoms of PD, the Movement Disorders Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS) was applied. Fatigue was evaluated using the Parkinson Fatigue Scale.

RESULTS

A higher HY score, greater severity of non-motor aspects of DLAs and motor aspects of DLAs, more motor complications, and higher levels of anxiety as well as depression were observed in the "fatigue" group. Fatigue was associated with a lower daily equivalent levodopa dose (LEDD), a higher body mass index (BMI), anxiety, depression, and the presence of non-motor symptoms.

CONCLUSION

Non-motor symptoms are more determining factors for fatigue than the motor condition itself, with an association between fatigue and higher BMI scores, increased anxiety and depression, lower LEDD, and greater severity of non-motor aspects of DLAs. Individuals in the "fatigue" group had higher HY scores, anxiety, and depression, worse non-motor and motor symptoms related to experiences of daily life, as well as motor complications.

Predicting the fatigue in Parkinson's disease using inertial sensor gait data and clinical characteristics

Objectives

The study aimed to analyze the clinical features and gait characteristics of patients with Parkinson's disease (PD) who also suffer from fatigue and to develop a model that can help identify fatigue states in the early stages of PD.

Methodology

A total of 81 PD patients have been enrolled for the Parkinson's Fatigue Scale (PFS-16) assessment and divided into two groups: patients with or without fatigue. Neuropsychological assessments of the two groups, including motor and non-motor symptoms, were collected. The patient's gait characteristics were collected using a wearable inertial sensor device.

Results

PD patients who experienced fatigue had a more significant impairment of motor symptoms than those who did not, and the experience of fatigue became more pronounced as the disease progressed. Patients with fatigue had more significant mood disorders and sleep disturbances, which can lead to a poorer quality of life. PD patients with fatigue had shorter step lengths, lower velocity, and stride length and increased stride length variability. As for kinematic parameters, PD patients with fatigue had lower shank-forward swing max, trunk-max sagittal angular velocity, and lumbar-max coronal angular velocity than PD patients without fatigue. The binary logistic analysis found that Movement Disorder Society-Unified Parkinson's Disease Rating Scale-I (MDS-UPDRS-I) scores, Hamilton Depression Scale (HAMD) scores, and stride length variability independently predicted fatigue in PD patients. The area under the curve (AUC) of these selected factors in the receiver operating characteristic (ROC) analysis was 0.900. Moreover, HAMD might completely mediate the association between Hamilton Anxiety Scale (HAMA) scores and fatigue (indirect effect: β = 0.032, 95% confidence interval: 0.001-0.062), with a percentage of mediation of 55.46%.

Conclusion

Combining clinical characteristics and gait cycle parameters, including MDS-UPDRS-I scores, HAMD scores, and stride length variability, can identify PD patients with a high fatigue risk.

Characteristics of fatigue in Parkinson’s disease: A longitudinal cohort study

Objective

To assess the prevalence, evolution, clinical characteristics, correlates and predictors of fatigue as well as to investigate the influence of comorbid fatigue on the longitudinal changes in motor and non-motor symptoms over a 2-year longitudinal follow-up period in a large cohort of patients with Parkinson’s disease (PD).

Materials and methods

A total of 2,100 PD patients were enrolled from the Parkinson’s Disease &amp; Movement Disorders Multicenter Database and Collaborative Network in China (PD-MDCNC), and their motor and non-motor symptoms were assessed biennially using comprehensive scales, including the 16-item Parkinson Fatigue Scale (PFS-16). Each PD patient was categorized as PD with or without fatigue on the basis of a cut-off mean PFS-16 score of 3.3.

Results

The prevalence of fatigue in our cohort was 36.8%. Compared to PD patients without fatigue, PD patients with fatigue were more likely to be older, have a longer disease duration, and higher baseline levodopa equivalent daily dose (all p &lt; 0.05). Moreover, PD patients with fatigue showed more severe motor and non-motor phenotypes than those without fatigue. Overall, high total Unified Parkinson’s Disease Rating Scale (UPDRS) score (odds ratio [OR] = 1.016, 95% confidence interval [CI]: 1.009–1.024), Non-Motor Symptoms Scale score (OR = 1.022, 95% CI: 1.015–1.029), postural instability and gait difficulty (PIGD) subtype (OR = 1.586, 95% CI: 1.211–2.079), presence of excessive daytime sleepiness (EDS; OR = 1.343, 95% CI: 1.083–1.666), and wearing-off (OR = 1.282, 95% CI: 1.023–1.607) were significantly associated with fatigue in PD patients (all p &lt; 0.05). High total UPDRS score at baseline (OR = 1.014, 95% CI: 1.002–1.027, p = 0.028) increased the risk of developing fatigue during follow-up. Although significant, the odds ratios were low and confidence intervals were narrow. Analysis of disease progression showed significant group differences in motor and non-motor symptoms. In comparison with the never-fatigue group, the persistent-fatigue group showed significantly greater progression in motor, autonomic dysfunction, sleep, depression and cognitive symptoms (all p &lt; 0.05).

Conclusion

Increased disease severity, presence of the PIGD subtype, EDS, and wearing-off were associated with fatigue in PD patients. Significant subgroup-level differences were observed in the progression of motor and non-motor symptoms across different fatigue subgroups of PD patients.

Orthostatic Hypotension Is a Predictor of Fatigue in Drug-Naïve Parkinson's Disease

Introduction

Fatigue and orthostatic hypotension (OH) are common and disabling nonmotor symptoms (NMSs) of Parkinson's disease (PD), but none of the studies have reported on the longitudinal association between fatigue and OH.

Methods

Drug-naïve PD patients were recruited from a hospital-based cohort and evaluated with the Parkinson Fatigue Scale (PFS), head-up tilt test, Unified PD Rating Scale, Hoehn and Yahr stage, Montreal Cognitive Assessment, Scale for Outcomes in PD-Autonomic (SCOPA-AUT), Beck Depression Inventory (BDI), Beck Anxiety Inventory, PD Sleep Scale, and medications at the baseline and follow-up visits.

Results

A total of 80 patients were included, and the mean ages were 66.6 and 63.8 years in the fatigue and nonfatigue groups, respectively. The prevalence of fatigue was 17.5% (14/80) at the baseline and follow-up (mean follow-up: 23.3 ± 9.9 months). The prevalence of OH in the fatigue group was 57.1%, and it was significantly higher than that of the nonfatigue group. Six of the 14 patients (42.9%) in the fatigue group had persistent fatigue at the follow-up, and eight of them (57.1%) converted to the nonfatigue group. Logistic regression analysis demonstrated that the changes of BDI and the presence of OH at the baseline were the predictors for fatigue in drug-naïve PD.

Conclusion

Fatigue is a common NMS in PD but can vary depending on the disease course. OH and depression are the most relevant predictors for the development of fatigue in drug-naïve PD. The present study suggests that the management of autonomic symptoms and depression might be helpful for managing fatigue in PD.

Survival in patients with Parkinson's disease: a ten-year follow-up study in northern China

BACKGROUND

A thorough understanding of the factors that influence patient survival in Parkinson's disease (PD) will aid in prognosis prediction and provide a new direction for disease modification treatment. Currently, there are no standardized mortality ratio (SMR) data for PD patients in the northern Chinese mainland. The main focus of this study was to determine which factors in the prospectively collected baseline characteristics can affect the survival of PD patients. In addition, for the first time, we investigated the SMR of PD patients in northern China.

METHODS

Between 2009 and 2012, 218 PD patients were continuously recruited from the movement disorder clinic of the First Affiliated Hospital of Dalian Medical University and followed up until death or May 31, 2021. The prespecified prognostic variables were demographics, clinical features, lifestyle factors, and drug dose prospectively collected at baseline. To determine the independent predictors of survival during follow-up, the Cox proportional hazards model was used. Kaplan-Meier analysis was applied to estimate the overall survival curve and to compare survival between layers based on statistically significant predictors. The SMR of this northern Chinese mainland PD cohort was calculated.

RESULTS

After a mean follow-up of 9.58 ± 2.27 years, 50 patients (22.90%) died. Factors that could individually predict shortened survival during follow-up included older age at onset (hazard ratio [HR] 1.10, 95% confidence interval [CI] 1.06-1.15), Hoehn and Yahr (H&Y) stage ≥ 3 (HR 9.36, 95% CI 2.82-31.03) and severe cognitive impairment (HR 6.18, 95% CI 2.75-13.88). Univariate Cox regression revealed that a certain amount of physical activity was associated with better survival (HR 0.41, 95% CI 0.22-0.74), while fatigue was associated with an increased risk of death (HR 2.54, 95% CI 1.37-4.70). The overall SMR was 1.32 (95% CI 0.98-1.74).

CONCLUSIONS

Older age at onset, higher baseline H&Y stage, and severe cognitive impairment have a negative impact on survival. The 10-year survival of PD patients is not significantly different from that of the general population in China.

Poor sleep quality is associated with fatigue and depression in early Parkinson's disease: A longitudinal study in the PALS cohort

Background

Sleep disorders are common in Parkinson's disease (PD). However, the longitudinal relationship between sleep quality and the other non-motor symptoms of PD has not been well characterized, especially in early PD.

Objective

To explore the value of baseline sleep quality in predicting the progression of other non-motor symptoms in early PD.

Methods

109 early PD patients were recruited to the study. Patients were stratified into good and poor sleepers using the Pittsburgh Sleep Quality Index (PSQI). Assessments performed at baseline and 1 year follow-up included the Epworth Sleepiness Scale, Fatigue Severity Scale, Non-Motor Symptom Scale, Geriatric Depression Scale, Hospital Anxiety and Depression Scale, Apathy Scale, Montreal Cognitive Assessment and detailed neuropsychological assessments. Multivariable linear regression was performed at baseline to investigate differences in clinical scores between poor and good sleepers, while multivariable regression models were used to investigate associations between sleep quality and progression of test scores at 1 year follow-up.

Results

59 poor sleepers and 50 good sleepers were identified. At baseline, poor sleepers had greater HADS anxiety scores (p = 0.013) [2.99 (95% CI 2.26, 3.73)] than good sleepers [1.59 (95% CI 0.75, 2.42)]. After 1 year, poor sleepers had greater fatigue (FSS scores +3.60 as compared to −2.93 in good sleepers, p = 0.007) and depression (GDS scores +0.42 as compared to −0.70, p = 0.006).

Conclusion

This study shows a longitudinal association between sleep quality, fatigue, and depression in early PD patients, independent of medication effect and disease severity, this may support the hypothesis that a common serotonergic pathway is implicated in these non-motor symptoms.

Fatigue in Brazilian patients with Parkinson's disease

Fatigue is a non-motor symptom of high prevalence in Parkinson’s disease (PD); however, it is still unknown and neglected by health professionals.

Progression of Fatigue in Early Parkinson's Disease: A 3-Year Prospective Cohort Study

Objective: To explore the frequency, evolution, associated factors, and risk factors of fatigue over 3-year of prospective follow-up in a cohort of patients with early Parkinson’s disease (PD).

Methods: A total of 174 PD patients in the early stage were enrolled and quantitively assessed motor and non-motor symptoms using comprehensive scales including the Fatigue Severity Scale (FSS) annually. Each subject was categorized as PD with and without fatigue based on a cut-off mean value of 4 using FSS. The generalized estimating equation (GEE) was utilized to investigate the associated factors, and the stepwise binary logistic regression model was performed to explore the predictors.

Results: The frequency of fatigue was slightly changed (ranging from 35.1 to 40.4%) during the 3-year follow-up. The changed pattern of the frequency of fatigue was similar to that of anxiety. Fatigue was significantly associated with nocturnal sleep disorders (B 2.446, P < 0.001), high Hamilton Anxiety Rating Scale (HAMA) score (B 1.072, P = 0.011), and high Unified PD Rating Scale (UPDRS) III score (B 1.029, P = 0.003) over time. High UPDRS III score [odds ratio (OR) 1.051, P = 0.015] at baseline increased the risk of developing fatigue after 1-year; high LEDD (OR 1.002, P = 0.037) increased the risk of developing fatigue after 2-year; and high LEDD (OR 1.003, P = 0.049) and high HAMA score (OR 1.077, P = 0.042) increased the risk of developing fatigue after 3-year.

Conclusion: Our present study provided evidence of the longitudinal evolution of fatigue in patients with early PD and help clinical management of fatigue.

Surgically treated acromegaly patients have a similar quality of life whether controlled by surgery or requiring additional medical therapy (QuaLAT Study)

PURPOSE

There is no consensus on quality of life (QOL) in patients with acromegaly requiring medical treatment after surgery compared with those achieving remission by surgery alone.

METHODS

QuaLAT is a cross-sectional study comparing QOL in surgery-only treated acromegaly patients versus those requiring medical treatment post-surgery. Patients attending clinics were identified and divided into-Group 1: patients who had surgery only and were in biochemical remission, Group 2: all patients on medical treatment post-surgery, Group 3: patients from Group 2 with biochemical control. Participants were asked to fill three questionnaires; Acromegaly Quality of Life Questionnaire (ACROQOL), 36-Item Short Form Survey (SF36), and Fatigue Severity Scale (FSS).

RESULTS

There were 32 patients in Group 1 and 25 in Group 2. There was no difference in QOL scores between groups 1 and 2, as measured by ACROQOL (mean difference [MD] = - 2.5, 95% CI - 16.6 to 11.6; p = 0.72), SF36v2 [Physical component score (PCS) MD = - 4.9, 95% CI - 10.9 to 1.2; p = 0.12; mental component score MD = - 3.0, 95% CI - 10.5 to 4.4; p = 0.44], or FSS (MD = - 0.004, 95% CI - 1.14 to 1.33; p = 0.1). Comparison between groups 1 and 3 however showed that PCS (and 3 subdomains) was significantly better in group 3 (MD = - 8.3, 95% CI - 14.8 to -1.8; p = 0.01). All three QOL scores were lower when compared with healthy controls.

CONCLUSIONS

Medical treatment not only achieves a QOL comparable to surgery, it may also be associated with better QOL in physical subdomains. When compared with healthy controls, QOL remains worse in treated acromegaly patients compared to controls.

Predictors of Global Non-Motor Symptoms Burden Progression in Parkinson's Disease. Results from the COPPADIS Cohort at 2-Year Follow-Up

Background and Objective: Non-motor symptoms (NMS) progress in different ways between Parkinson's disease (PD) patients. The aim of the present study was to (1) analyze the change in global NMS burden in a PD cohort after a 2-year follow-up, (2) to compare the changes with a control group, and (3) to identify predictors of global NMS burden progression in the PD group. Material and Methods: PD patients and controls, recruited from 35 centers of Spain from the COPPADIS cohort from January 2016 to November 2017, were followed-up with after 2 years. The Non-Motor Symptoms Scale (NMSS) was administered at baseline (V0) and at 24 months ± 1 month (V2). Linear regression models were used for determining predictive factors of global NMS burden progression (NMSS total score change from V0 to V2 as dependent variable). Results: After the 2-year follow-up, the mean NMS burden (NMSS total score) significantly increased in PD patients by 18.8% (from 45.08 ± 37.62 to 53.55 ± 42.28; p < 0.0001; N = 501; 60.2% males, mean age 62.59 ± 8.91) compared to no change observed in controls (from 14.74 ± 18.72 to 14.65 ± 21.82; p = 0.428; N = 122; 49.5% males, mean age 60.99 ± 8.32) (p < 0.0001). NMSS total score at baseline (β = -0.52), change from V0 to V2 in PDSS (Parkinson's Disease Sleep Scale) (β = -0.34), and change from V0 to V2 in NPI (Neuropsychiatric Inventory) (β = 0.25) provided the highest contributions to the model (adjusted R-squared 0.41; Durbin-Watson test = 1.865). Conclusions: Global NMS burden demonstrates short-term progression in PD patients but not in controls and identifies worsening sleep problems and neuropsychiatric symptoms as significant independent predictors of this NMS progression.