Associated and predictive factors of depressive symptoms in patients with Parkinson's disease

β-asarone inhibits autophagy by activating the PI3K/Akt/mTOR pathway in a rat model of depression in Parkinson's disease

OBJECTIVE

It is unclear whether β-asarone has a good antidepressant effect and what is the main mechanism in Depression in Parkinson's disease (DPD) model rats.

METHODS

In this study, DPD model rats were screened from 6-OHDA induced rats by sucrose preference test (SPT) and forced swimming test (FST). DPD model rats were divided into eight groups: model group, pramipexole group, β-asarone low-dose group (β-asarone 7.5 group), β-asarone medium-dose group (β-asarone 15 group), β-asarone high-dose group (β-asarone 30 group), 3-MA group, rapamycin group, and PI3K inhibitor group. 28 days after the end of treatment, open field test (OFT), SPT and FST were conducted in rats. The level of α-synuclein (α-syn) in the striatum was determined by enzyme-linked immunosorbent assay (ELISA). The expression of Beclin-1, p62 in the striatum was determined by western blot. The expression of PI3K, p-PI3K, Akt, p-Akt, mTOR, p-mTOR, Beclin-1, and p62 in the hippocampus was determined by western blot. The spine density of neurons in the hippocampus was detected by golgi staining.

RESULTS

The results showed that 4-week oral administration of β-asarone improve the motor and depressive symptoms of DPD model rats, and decrease the content of α-syn in the striatum. β-asarone inhibited the expression of autophagy in the striatum of DPD model rats. Furthermore, β-asarone decreased the levels of Beclin-1 protein, increased the expression of p62, p-PI3K, p-AKT, and p-mTOR, and improved the density of neuron dendritic spine in the hippocampus.

CONCLUSIONS

We concluded that β-asarone might improve the behavior of DPD model rats by activating the PI3K/Akt/mTOR pathway, inhibiting autophagy and protecting neuron.

The pathobiological basis of depression in Parkinson disease: challenges and outlooks

Depression, with an estimated prevalence of about 40% is a most common neuropsychiatric disorder in Parkinson disease (PD), with a negative impact on quality of life, cognitive impairment and functional disability, yet the underlying neurobiology is poorly understood. Depression in PD (DPD), one of its most common non-motor symptoms, can precede the onset of motor symptoms but can occur at any stage of the disease. Although its diagnosis is based on standard criteria, due to overlap with other symptoms related to PD or to side effects of treatment, depression is frequently underdiagnosed and undertreated. DPD has been related to a variety of pathogenic mechanisms associated with the underlying neurodegenerative process, in particular dysfunction of neurotransmitter systems (dopaminergic, serotonergic and noradrenergic), as well as to disturbances of cortico-limbic, striato-thalamic-prefrontal, mediotemporal-limbic networks, with disruption in the topological organization of functional mood-related, motor and other essential brain network connections due to alterations in the blood-oxygen-level-dependent (BOLD) fluctuations in multiple brain areas. Other hypothetic mechanisms involve neuroinflammation, neuroimmune dysregulation, stress hormones, neurotrophic, toxic or metabolic factors. The pathophysiology and pathogenesis of DPD are multifactorial and complex, and its interactions with genetic factors, age-related changes, cognitive disposition and other co-morbidities awaits further elucidation.

Self-Stigma in Parkinson's Disease: A 3-Year Prospective Cohort Study

Purpose

Self-stigma is common in patients with Parkinson's disease (PD) and may lead to social isolation and delayed search for medical help. We conducted a 3-year prospective longitudinal study to investigate the development and evolution of self-stigma in patients with early stage PD and to explore the associated and predictive factors of self-stigma in PD.

Method

A total of 224 patients with early stage PD (disease duration <3 years) were enrolled at baseline and followed up annually for 3 consecutive years. Self-stigma was assessed by the stigma subscale of the Parkinson's Disease Questionnaire (items 23–26). The generalized estimating equation model was used to investigate the associated factors of self-stigma over 3 years, and the binary logistic model was used to explore the predictors of self-stigma in patients with PD without self-stigma at baseline.

Results

The prevalence of self-stigma decreased from 58.0% at baseline to 49.2% after 3 years. The Hamilton Depression Rating Scale (HDRS) score was the only associated factor [B: 0.160 (1.106–0.214), P < 0.001] of self-stigma over 3 years and the only predictor [OR: 1.252 (1.044–1.502), P = 0.015] of the onset of self-stigma.

Conclusion

Self-stigma is very common in PD, but its prevalence tends to decrease as the disease progresses. Depression was the only associated and predictive factor of self-stigma in PD and could be an effective target of alleviating self-stigma.

Relationship between sleep disorders and neuropsychiatric symptoms in Parkinson's disease: A narrative review

Aim: The objective of this narrative review was to describe the versatile links between mental status and sleep in patients with Parkinson's disease. Methods: We searched randomized controlled studies, observational studies, meta-analyses, systematic reviews, and case reports written in English in PubMed during 2015 - 2021. Additionally, to ensure the completeness of the review, a second, more in-depth literature search was performed using the same electronic database with the search inquiries of increased specificity. Results: The information on pathophysiology, epidemiology, clinical features and risk factors was extracted and formed the basis for this review. Despite how widespread sleep disorders in Parkinson's disease are, there is no systematic information about their association with neuropsychiatric symptoms, such as depression, anxiety, impulse control disorders, apathy, cognitive impairment and psychosis. In this review, we described relationships between these non-motor symptoms of Parkinson's disease, their timeline occurrence, gap in knowledge and perspectives for further research. We suppose that early treatment of sleep disorders in patients with Parkinson's disease can reduce the incidence and extent of neuropsychiatric symptoms. Conclusion: We have demonstrated multiple, multidirectional relationships between sleep disorders and neuropsychiatric symptoms. However, some of them remain unexplored. The described knowledge can be applied to further study the possibility of influencing neuropsychiatric symptoms through the correction of sleep disorders in patients with different stages of Parkinson's disease.

Cognition, motor symptoms, and glycolipid metabolism in Parkinson's disease with depressive symptoms

Depressive symptoms and abnormal glycolipid metabolisms are common in patients with Parkinson's disease (PD), but their relationship has not been fully reported. It is not clear whether glycolipid impairments lead to poor cognitive and motor function, and aggravate depressive symptoms. Therefore, we aimed to explore the relationships between glycolipid variables, cognition, motor and depressive symptoms in PD patients cross-sectionally. Two hundred ten PD patients were recruited. Glycolipid parameters and Uric acid (UA) were measured. Depressive symptoms, cognitive function and motor symptoms were assessed using the Hamilton Depression Rating Scale-17 (HAMD-17), the Montreal Cognitive Assessment (MOCA) and the Movement Disorder Society Unified Parkinson's Disease Rating Scale Part-III (UPDRS-III). Depressive PD patients had significantly worse motor symptoms and higher levels of fasting plasma glucose (FPG) than those in non-depressive patients (F = 24.145, P < 0.001). Further, logistic regression analysis indicated that UPDRS-III (OR = 1.039, 95% CI 1.019-1.057, P = 0.044), FPG (OR = 1.447, 95% CI 1.050-1.994, P = 0.024) were independently associated with depression. In PD patients without depression, UA (β = - 0.068, t = - 2.913, P = 0.005) and cholesterol (CHOL) (β = - 3.941, t = - 2.518, P = 0.014) were independent predictors of the UPDRS-III score; in addition, UPDRS-III score was negatively associated with MOCA score (β = - 0.092, t = - 2.791, P = 0.007). FPG levels and motor symptoms were related to depressive symptoms in PD patients. Further, in non-depressive PD patients, UA and CHOL showed putative biomarkers of motor symptoms.

Depressive symptoms in elderly patients with Parkinson's disease: frequency and associated factors

Background/aims

Emotional health is an important factor in clinical and functional manifestations of Parkinson's disease. The aim of this study was to correlate clinical features with depressive symptoms in elderly patients with Parkinson's disease.

Methods

A cross-sectional study was conducted. The Geriatric Depression Scale 15 was used to evaluate depressive symptoms, the modified Hoehn and Yahr scale was used to describe the symptom progression of Parkinson's disease and the Parkinson's Disease Questionnaire 39 to assess the quality of life. The Pearson correlation and the chi-square test were used. Significance level was set at 5%.

Results

A total of 81 individuals participated and 48 (60.8%) presented with depressive symptoms. Participants in the moderate stage of Parkinson's disease and women presented a higher frequency of depressive symptoms. Cognition, communication and mobility presented the highest correlation with depressive symptoms.

Conclusions

The participants presented a high frequency of depressive symptoms that is correlated with a decrease in mobility, communication and cognitive functions. It is recommended that the rehabilitation of elderly people with Parkinson's disease should be performed by a multidisciplinary team, whose objectives are to improve mobility, cognition and communication, which can help reduce depressive symptoms and depression in elderly people with Parkinson's disease.

Executive Functions in Parkinson’s Disease

Abstract The objective of this study was to investigate executive functions (EFs) in older adults with Parkinson’s disease (PD). It was a cross-sectional and comparative study, composed of 62 participants divided into PD group (n = 31; M age = 75.26; SD age = 7.26) and control group (n = 31; M age = 74.03; SD age = 6.95), aged 61 to 93 years, recruited for convenience in 5 cities in the state of Rio Grande do Sul. The instruments used were a sociodemographic data questionnaire; MMSE; GDS-15; BIS-11; verbal fluency tasks (FAS and animals), DEX; WCST-64 and FDT. Descriptive analyzes and Student’s t and Chi-square tests were used. The PD group had a lower performance in the WCST-64 and FDT tests compared to controls, indicating worse performance in tasks that required reasoning, cognitive flexibility and processing speed, in addition, showed difficulties in performing tasks that require EF (DEX).

Characteristics of Objective Sleep and Its Related Risk Factors Among Parkinson's Disease Patients With and Without Restless Legs Syndrome

Objective: This study aimed to investigate the objective sleep characteristics and their related risk factors among Parkinson's disease (PD) patients with and without restless legs syndrome (RLS).

Methods: A total of 125 patients with PD who underwent overnight polysomnography (PSG) were recruited consecutively. Eighty-one patients, including 27 PD with RLS (PD-RLS) and 54 PD without RLS (PD-NRLS), were included in the final analysis after 1:2 propensity score matching. Demographic, clinical, and polysomnographic data were compared between PD patients with and without RLS. The risk factors for sleep quality were examined using a multiple linear regression model.

Results: The prevalence of RLS among PD patients was 28.0% (35/125). The PD-RLS group exhibited a higher score for the Unified Parkinson Disease Rating Scale (UPDRS) III than the PD-NRLS group. Also, the PD-RLS patients displayed significantly shorter total sleep times, worse sleep quality, decreased stage 3 duration, a longer wake time after sleep onset, and a higher arousal index than those without RLS (all p < 0.05). In the multiple linear regression model, PD duration (β = −0.363, 95% CI: −0.652 to −0.074; p = 0.016), UPDRS-III (β = −0.356, 95% CI: −0.641 to −0.071; p = 0.016), and periodic limb movement index (PLMI) (β = −0.472, 95% CI: −0.757 to −0.187; p = 0.002) were determined to be the risk factors influencing sleep quality in PD-RLS patients. The UPDRS-III (β = −0.347, 95% CI: −0.590 to −0.104; p = 0.006) and HAMD scores (β = −0.343, 95% CI: −0.586 to −0.100; p = 0.007) were significantly associated with sleep quality after adjusting for confounding factors in PD-NRLS patients, respectively.

Conclusions: PD-RLS patients exhibited more disturbed and fragmented sleep in objective sleep architecture than PD-NRLS patients. The severity of motor symptoms in PD was significantly associated with poor sleep quality in both PD-RLS and PD-NRLS patients. Notably, our findings indicated that periodic limb movements during sleep (PLMS) was the risk factor that influenced the objective sleep quality in PD patients with RLS.

Depression and anxiety among patients with Parkinson’s disease: frequency, risk factors, and impact on quality of life

Background

Depression and anxiety are non-motor symptoms of Parkinson’s disease (PD) that are often overlooked and underrated. This study aimed to highlight the frequency and risk factors of depression and anxiety among subjects with PD.

Methods

Sixty-four patients with PD who were diagnosed according to United Kingdom Parkinson’s Disease Society (UKPDS) Brain Bank Criteria and 50 sex- and age-matched healthy control subjects are evaluated for depression and anxiety. PD severity and staging were assessed using Unified Parkinson’s Disease Rating Scale (UPDRS) and Hoehn and Yahr scale. Depression and anxiety were diagnosed using DSM-IV TR criteria and scored using Hamilton Depression and Hamilton Anxiety Rating Scales (HAM-D and HAM-A). The World Health Organization Quality of Life (WHOQOL)-BREF was used to assess impact of depression and anxiety on quality of life.

Results

31.25% of patients with PD had depression while 40.6% of patients had anxiety disorder. Depression was higher in females and patients with history of depression and low socioeconomic status (SES). Anxiety was common in young patients and those who had history of anxiety. Overlap between depression and anxiety was recorded in 23.4%. Total UPDRS and Hoehn and Yahr scale accounted for 33.4% of variance for depression. Total UPDRS and earlier age of onset accounted for 39% of variance for anxiety. Advanced disease stage and severity were independent predictors for depression while disease severity and younger age of onset were the main predictors for anxiety. Depression and anxiety have a negative impact on the overall quality of life of PD patients especially on physical and psychosocial domains.

Conclusion

Depression and anxiety are relatively common in PD. Female gender, low SES, and history of depression were the main risk factors for developing depression. Young age and history of anxiety were risk factors for anxiety. Both had negative impact on quality of life.

Risk factors for depression in patients with Parkinson's disease: A nationwide nested case-control study

Objectives

Patients with Parkinson’s disease (PD) have higher prevalence of depression than the general population; however, the risk factors for depression in PD remain uncertain.

Methods/Design

Using the 2000–2010 Taiwan National Health Insurance Research Database, we selected 1767 patients aged ≧ 40 years with new-onset PD during 2000–2009. Among them, 324 patients with a new incidence of depression were enrolled as cases and 972 patients without depression were randomly selected as controls. The groups were frequency-matched at a ratio of 1:3 by age, sex, and index year. Thus, this nested case-control study compared differences between the cases and the controls. Logistic regression models were used to identify risk factors for depression in PD.

Results

Compared with the controls, the odds ratio (OR) of anxiety disorders in the cases was 1.53 (95% confidence interval [95% CI], 1.16–2.02; P = 0.003), after adjusting for the confounding factors of age, sex, index year, geographic region, urban level, monthly income, and other coexisting medical conditions. The OR for sleep disturbances in the cases was 1.49 (95% CI, 1.14–1.96; P = 0.004) compared to the controls, after adjusting these confounding factors. Hence, the risk factors for depression in PD were nonsignificantly associated with physical comorbidities.

Conclusions

In the present study, depression in PD was significantly associated with anxiety disorders and sleep disturbances. Integrated care for early identification and treatment of neuropsychiatric comorbidities is crucial in patients with new-onset PD so as to prevent further PD degeneration.

Personalized prediction of depression in patients with newly diagnosed Parkinson's disease: A prospective cohort study

BACKGROUND

Depressive disturbances in Parkinson's disease (dPD) have been identified as the most important determinant of quality of life in patients with Parkinson's disease (PD). Prediction models to triage patients at risk of depression early in the disease course are needed for prognosis and stratification of participants in clinical trials.

METHODS

One machine learning algorithm called extreme gradient boosting (XGBoost) and the logistic regression technique were applied for the prediction of clinically significant depression (defined as The 15-item Geriatric Depression Scale [GDS-15] ≥ 5) using a prospective cohort study of 312 drug-naïve patients with newly diagnosed PD during 2-year follow-up from the Parkinson's Progression Markers Initiative (PPMI) database. Established models were assessed with out-of-sample validation and the whole sample was divided into training and testing samples by the ratio of 7:3.

RESULTS

Both XGBoost model and logistic regression model achieved good discrimination and calibration. 2 PD-specific factors (age at onset, duration) and 4 nonspecific factors (baseline GDS-15 score, State Trait Anxiety Inventory [STAI] score, Rapid Eye Movement Sleep Behavior Disorder Screening Questionnaire [RBDSQ] score, and history of depression) were identified as important predictors by two models.

LIMITATIONS

Access to several variables was limited by database.

CONCLUSIONS

In this longitudinal study, we developed promising tools to provide personalized estimates of depression in early PD and studied the relative contribution of PD-specific and nonspecific predictors, constituting a substantial addition to the current understanding of dPD.

Longitudinal assessment of autonomic dysfunction in early Parkinson's disease

INTRODUCTION

Clinical correlates of autonomic nervous system (ANS) dysfunction in early Parkinson's disease (PD) have been addressed mainly in a cross-sectional way.

METHODS

This is a combined cross-sectional and longitudinal prospective study of ANS dysfunction using the SCOPA-AUT in PD patients at the Hoehn and Yahr stage 1 with disease duration <2 years. PD patients (n = 107) were compared to healthy controls (HC, n = 79), and then followed-up for over 3 years. The severity of PD, depression, anxiety, apathy and cognitive impairment were evaluated using rating scales.

RESULTS

At least one symptom of ANS dysfunction was present in 71% of PD patients in comparison to 30.4% of HC, and in all PD patients after three years. The overall severity of dysautonomia symptoms was mild (SCOPA-AUT mean ± SD; 4.16 ± 5.0), but worsened by 23%, 86% and 0.3% during the 1st, 2nd and 3rd year respectively. Nighttime voiding (38.3%), constipation (30.8%) and straining for defecation (29%) were the most common symptoms. Prevalence and severity of urinary, gastrointestinal, and orthostatic symptoms increased, in contrast to thermoregulatory and pupillomotor symptoms. Frequency of symptoms suggestive of multi-domain ANS dysfunction rose from 49% to 79%. Psychiatric symptoms and age, but not motor impairment, were associated with dysautonomia symptoms.

CONCLUSION

Symptoms of ANS dysfunction were frequent in the initial motor stage of PD and progressed, yet remaining mild, within 3 years. An independent progression of dysautonomia symptoms from motor disability and its associations with non-motor, mainly psychiatric symptoms and age support the non-motor clustering in PD.

Cognitive behavioral therapy improves diverse profiles of depressive symptoms in Parkinson's disease

OBJECTIVE

Depression is among the most common and debilitating nonmotor complaints in Parkinson's disease (PD), yet there is a paucity of controlled research to guide treatment. Little research has focused on the extent to which specific depressive symptom profiles may dictate unique clinical recommendations to ultimately improve treatment outcomes. The current study examined the impact of cognitive behavioral therapy (CBT) on different types of depressive symptoms in PD. It was hypothesized that the cognitive (eg, guilt, rumination, and negative attitudes towards self) and behavioral (eg, avoidance and procrastination) symptoms targeted most intensively by the treatment protocol would show the most robust response. The extent to which stabilized antidepressant use moderated specific symptom change was examined on an exploratory basis.

METHOD

Eighty depressed people with PD participated in a randomized controlled trial of CBT plus clinical management, versus clinical management only. Hamilton Depression Rating Scale (HAMD) and Beck Depression Inventory (BDI) subscale scores, reflecting depressive symptom heterogeneity in PD, were the focus of this investigation.

RESULTS

CBT response was associated with significant improvements in mood, sleep, anxiety, and somatic symptoms (HAMD), and negative attitudes toward self, performance impairment, and somatic symptoms (BDI). As hypothesized, the largest effect sizes were observed for cognitive and behavioral (vs somatic) symptoms of depression. Stabilized antidepressant use moderated the effect of CBT on somatic complaints (HAMD and BDI).

CONCLUSIONS

CBT may improve a diverse array of depressive symptoms in PD. Cognitive and behavioral (vs somatic) symptoms showed the greatest change. Combining CBT with antidepressants may help optimize the management of somatic complaints in depression in PD (dPD).

Bright light therapy for depression in Parkinson disease: A randomized controlled trial

OBJECTIVE

To assess the efficacy of bright light therapy (BLT) in reducing depressive symptoms in patients with Parkinson disease (PD) and major depressive disorder (MDD) compared to a control light.

METHODS

In this double-blind controlled trial, we randomized patients with PD and MDD to treatment with BLT (±10,000 lux) or a control light (±200 lux). Participants were treated for 3 months, followed by a 6-month naturalistic follow-up. The primary outcome of the study was the Hamilton Depression Rating Scale (HDRS) score. Secondary outcomes were objective and subjective sleep measures and salivary melatonin and cortisol concentrations. Assessments were repeated halfway, at the end of treatment, and 1, 3, and 6 months after treatment. Data were analyzed with a linear mixed-model analysis.

RESULTS

We enrolled 83 participants. HDRS scores decreased in both groups without a significant between-group difference at the end of treatment. Subjective sleep quality improved in both groups, with a larger improvement in the BLT group (B [SE] = 0.32 [0.16], p = 0.04). Total salivary cortisol secretion decreased in the BLT group, while it increased in the control group (B [SE] = -8.11 [3.93], p = 0.04).

CONCLUSION

BLT was not more effective in reducing depressive symptoms than a control light. Mood and subjective sleep improved in both groups. BLT was more effective in improving subjective sleep quality than control light, possibly through a BLT-induced decrease in cortisol levels.

CLINICALTRIALSGOV IDENTIFIER

NCT01604876.

CLASSIFICATION OF EVIDENCE

This study provides Class I evidence that BLT is not superior to a control light device in reducing depressive symptoms in patients with PD with MDD.

Cross-cultural adaptation and psychometric properties of the SCOPA-Sleep-German version

Aim of the study was the cross-cultural adaptation and validation of the German version of the Scale for Outcomes in Parkinson's disease-Sleep Scale (SCOPA-Sleep) for assessment of night-time sleep problems (NS) and daytime sleepiness (DS). Eighty-three patients with Parkinson's disease completed the SCOPA-Sleep and a multitude of measures for assessment of validity (e.g., PSQI, ESS). Twenty patients completed the SCOPA-Sleep twice within 2 months for assessment of retest reliability. Sixty-four healthy controls were also included for validity estimation. Internal consistency (Cronbach's alpha) was good with coefficients of .801 and .854 for SCOPA-NS and SCOPA-DS, respectively. Test-retest reliability and inter-rater agreement were excellent. Factor analysis revealed two factors, one for each of the subscales NS and DS. Convergent validity was high with correlations of .797 between SCOPA-NS and PSQI, and .679 between SCOPA-DS and ESS. The German version of the SCOPA-Sleep showed good diagnostic accuracy. Optimal cutoff scores were calculated, resulting in an AUC of .908 for NS and of .959 for DS. The German version of the SCOPA-Sleep is a reliable and valid instrument for assessing NS and DS in patients with Parkinson's disease. As diagnostic accuracy is excellent, this scale can be recommended for routine assessment of both NS and DS in PD combined with other standard measures.

Prevalence and risk factors for depression and anxiety in Chinese patients with Parkinson disease

BACKGROUND

Anxiety and depression are common in Parkinson disease and both are important determinants of quality of life in patients. Several risk factors are identified but few research have investigated general and Parkinson's disease (PD)-specific factors comprehensively. The aim of this work was to explore PD-specific and -non-specific risk factors for PD with depression or anxiety.

METHODS

A cross-sectional survey was performed in 403 patients with PD. Multivariate logistic analysis was used to investigate the prevalence and risk factors for the depression and anxiety in PD. The data of patients included demographic information, medicine history, disease duration, age at onset (AAO), family history, anti-parkinsonism drug, modified Hoehn and Yahr staging (H-Y) stage, scales of motor and non-motor symptoms and substantia nigra (SN) echogenic areas.

RESULTS

403 PD patients were recruited in the study. Depression and anxiety were present in 11.17% and 25.81% respectively. Marital status, tumor, higher Movement Disorder Society-sponsored revision of the Unified Parkinson's Disease Rating Scale (MDS-UPDRS) II score, dyskinesia, higher Hamilton Anxiety Rating Scale (HARS) score and lower the Parkinson's disease sleep scale (PDSS) score were associated with depression in PD. female gender, higher rapid eye movement behavior disorder Questionnaire-Hong Kong (RBD-HK) score, higher Hamilton Deprssion Rating Scale (HAMD) score, higher the scale for outcomes in PD for autonomic symptoms (SCOPA-AUT)score and larger SN echogenic areas were associated with anxiety. Neither depression nor anxiety was related to any anti-parkinsonism drugs.

CONCLUSIONS

The prevalence of depression and anxiety in the current PD patients was 11.17% and 25.81% respectively. Disease of tumor, currently having no partner, severer motor function, dyskinesia, poorer sleep quality and anxiety were risk factors for PD with depression. Female, depression, rapid eye movement behavior disorder (RBD), autonomic dysfunction and larger SN area were risk factors for PD with anxiety.

Clinical Determinants of Parkinson's Disease-associated Pain Using the King's Parkinson's Disease Pain Scale

Background

Pain is a frequent feature in Parkinson's disease (PD). Current knowledge on pain and its associated factors in PD has been obtained using nondisease-specific tools. Recently, the King's Parkinson's Disease Pain Scale (KPPS) was published as the first disease-specific scale. The aim of this study was to assess PD-associated pain and its main determinants using the KPPS.

Methods

A cross-sectional study was carried out. Consecutive patients with PD were recruited from a movement disorders clinic. Clinical and demographical data were collected. The KPPS, the Movement Disorders Society Unified Parkinson's Disease Rating Scale, and the Non-Motor Symptoms Scale were used to assess all participants.

Results

In total, 314 patients were included. Overall, 88.6% of the sample reported at least 1 type of pain. The mean ± standard KPPS score was 18.8 ± 19.5. Factors associated with higher KPSS scores were female sex (P < 0.001), levodopa treatment (P < 0.001), the presence of depressed mood (P < 0.001), wearing off (P = 0.003), and dyskinesia (P = 0.005). Participants who had postural instability and gait difficulty motor subtypes had higher KPPS scores compared with those who had other subtypes. Multivariate regression analysis showed that only sex, motor subtype, depressed mood, and Non-Motor Symptoms Scale sleep/fatigue domain scores achieved statistical significance as determinants (all P < 0.01).

Conclusion

PD-associated pain is a frequent symptom that tends to increase in both frequency and severity as disease progresses. Risk factors for increased burden include female gender, postural instability and gait difficulty motor subtypes, mood alterations, and sleep/fatigue disturbances.

Onset and evolution of anxiety in Parkinson's disease

BACKGROUND AND PURPOSE

Anxiety is common in Parkinson's disease (PD) and has a great influence on quality of life. However, little is known about risk factors for development of anxiety in PD. We investigated which factors were associated with longitudinal changes in severity of anxiety symptoms and development of future anxiety in patients who were not anxious at baseline.

METHODS

Analyses were performed on data of the PROfiling PARKinson's disease (PROPARK) cohort, a 5-year hospital-based longitudinal cohort of over 400 patients with PD who have been examined annually. Linear mixed models were used to identify factors associated with longitudinal changes in Hospital Anxiety and Depression Scale - Anxiety (HADS-A) scores. Survival analysis using data of patients who were not anxious at baseline was performed to identify predictors of future anxiety (i.e. HADS-A ≥ 11).

RESULTS

Of 409 patients who were included at baseline, 67 (16%) had anxiety, whereas 64 (19%) of the remaining 342 non-anxious patients developed anxiety after a mean (SD) follow-up of 2.6 (1.3) years. Seventy percent of the patients with anxiety were also depressed. Female gender, cognitive impairment, depressive symptoms, dysautonomia, insomnia and excessive daytime sleepiness (EDS) at baseline were associated with higher HADS-A scores over time and, except for female gender and EDS, all of these variables were independent predictors of development of anxiety in patients who were not anxious at baseline.

CONCLUSIONS

Anxiety is highly prevalent in PD. Higher anxiety scores over time and future development of anxiety are associated with female gender, cognitive impairment, autonomic dysfunction, insomnia and EDS. Anxiety and depression usually coexist and share similar determinants, suggesting a common pathophysiological mechanism.