Prognostic factors for the progression of Parkinson's disease: a systematic review

Beyond Dopamine: GABA, Glutamate, and the Axial Symptoms of Parkinson Disease

Introduction: The axial symptoms of Parkinson disease (PD) include difficulties with balance, posture, speech, swallowing, and locomotion with freezing of gait, as well as axial rigidity. These axial symptoms impact negatively on quality of life for many patients, yet remain poorly understood. Dopaminergic treatments typically have little effect on the axial symptoms of PD, suggesting that disruptions in other neurotransmitter systems beyond the dopamine system may underlie these symptoms. The purpose of the present study was to examine the relationship between the axial symptoms of PD and GABA and glutamate levels quantified with magnetic resonance spectroscopy.

Methods: The participant group included 20 patients with PD and 17 healthy control participants. Water-scaled GABA and Glx (glutamate + glutamine) concentrations were derived from GABA-edited MEGA-PRESS spectra acquired from the left basal ganglia and prefrontal cortex, and additional water-scaled Glx concentrations were acquired from standard PRESS spectra acquired from the pons. Spectra were analyzed with LCModel. The axial symptoms of PD were evaluated from subscales of the Unified Parkinson's Disease rating scale (MDS-UPDRS).

Results: PD patients demonstrated significantly higher GABA levels in the basal ganglia, which correlated with the degree of gait disturbance. Basal ganglia Glx levels and prefrontal GABA and Glx levels did not differ significantly between patient and control groups, but within the PD group prefrontal Glx levels correlated negatively with difficulties turning in bed. Results from an exploratory subgroup analysis indicate that the associations between GABA, Glx, and axial symptoms scores are typically more prominent in akinetic-rigid patients than in tremor-dominant patients.

Conclusion: Alterations in GABAergic and glutamatergic neurotransmission may contribute to some of the axial symptoms of PD.

Clinical and Imaging Predictors of Recurrent Ischemic Stroke: A Systematic Review and Meta-Analysis

BACKGROUND

Predictors of recurrent ischemic stroke are less well known in patients with a recent ischemic stroke than in patients with transient ischemic attack (TIA). We identified clinical and radiological factors for predicting recurrent ischemic stroke in patients with recent ischemic stroke.

METHODS

A systematic search in PubMed, Embase, Cochrane Library, and CINAHL was performed with the terms "ischemic stroke," "predictors/determinants," and "recurrence." Quality assessment of the articles was performed and the level of evidence was graded for the articles included for the meta-analysis. Pooled risk ratios (RR) and heterogeneity (I2) were calculated using inverse variance random effects models.

RESULTS

Ten articles with high-quality results were identified for meta-analysis. Past medical history of stroke or TIA was a predictor of recurrent ischemic stroke (pooled RR 2.5, 95% CI 2.1-3.1). Small vessel strokes were associated with a lower risk of recurrence than large vessel strokes (pooled RR 0.3, 95% CI 0.1-0.7). Patients with stroke of an undetermined cause had a lower risk of recurrence than patients with large artery atherosclerosis (pooled RR 0.5, 95% CI 0.2-1.1). We found no studies using CT or ultrasound for the prediction of recurrent ischemic stroke. The following MRI findings were predictors of recurrent ischemic stroke: multiple lesions (pooled RR 1.7, 95% CI 1.5-2.0), multiple stage lesions (pooled RR 4.1, 95% CI 3.1-5.5), multiple territory lesions (pooled RR 2.9, 95% CI 2.0-4.2), chronic infarcts (pooled RR 1.5, 95% CI 1.2-1.9), and isolated cortical lesions (pooled RR 2.2, 95% CI 1.5-3.2).

CONCLUSIONS

In patients with a recent ischemic stroke, a history of stroke or TIA and the subtype large artery atherosclerosis are associated with an increased risk of recurrent ischemic stroke. Predictors evaluated with MRI include multiple ischemic changes and isolated cortical lesions. Predictors of recurrent ischemic stroke concerning CT or ultrasound have not been published.

Cognitive and Neuropsychiatric Features of Early Parkinson's Disease

The clinical definition of Parkinson's disease (PD) is based on cardinal motor features including bradykinesia as well as an additional symptom of tremor, postural instability, or rigidity. Evidence from neuropathological, imaging, and clinical research suggests a premotor, early phase of PD pathology. Further understanding of the earliest biomarkers of PD is crucial for the development of neuroprotective, disease modifying, cognitive, and psychiatric interventions. Recent research has explored early non-motor markers of PD pathology. This issue is especially timely as the International Parkinson and Movement Disorder Society has recently provided a research definition for prodromal PD which includes combinations of prodromal markers and risk factors aimed at identifying target populations for disease-prevention trials. In this review of early PD, we will outline early non-motor symptoms, early cognitive and neuropsychiatric features, neuropsychological assessment strategies, emerging evidence for early biomarkers, and treatment recommendations.

Differential White Matter Regional Alterations in Motor Subtypes of Early Drug-Naive Parkinson's Disease Patients

BACKGROUND

Parkinson's disease (PD) can be classified into tremor dominant (TD) and postural instability and gait difficulty (PIGD) subtypes with TD considered as the benign subtype. The neural alterations of the 2 subtypes in the early stages before administration of medications remain elusive.

OBJECTIVE

This study assessed the subtype-related white matter (WM) microstructural features in newly diagnosed and drug-naive PD patients from the Parkinson's Progression Markers Initiative (PPMI).

METHODS

Sixty-five early PDs with stable subtypes (52 TD and 13 PIGD patients) and 61 controls underwent diffusion tensor imaging (DTI) scanning and clinical assessment. Tract-based special statistics (TBSS), graph-theoretical and network-based analyses were used to compare WM regional and network features between groups.

RESULTS

No differences in disease stages and duration were found between the 2 patient groups. TD patients showed increased fractional anisotropy (FA), but decreased radial and axial diffusivities (RD and AD) in several projection, association, and commissural tracts, compared with PIGD patients and controls. Motor severity had mild-to-moderate correlations with FA and RD of the corpus callosum (genu) in TD, but strong correlations with FA and RD of multiple association tracts in PIGD. Conversely, no significant network changes were noted.

CONCLUSIONS

TD patients showed regionally increased FA but decreased diffusivities, implying neural reorganization to compensate PD pathology in early stages. PIGD patients, despite having similar disease stages and duration, exhibited more WM degradation. These results demonstrate differential WM regional features between the 2 subtypes in early PD and support the notion of TD being a benign subtype.

Comparison of clinical features among Parkinson's disease subtypes: A large retrospective study in a single center

INTRODUCTION

Tremor dominant (TD), postural instability/gait difficulty (PIGD), and akinetic-rigid (AR) subtypes are widely used in classifying patients with Parkinson's disease (PD).

METHODS

We compared clinical characteristics between PD subtypes in a large retrospective cohort. Between 1998 and 2016, we included a total of 1003 patients with PD in this retrospective study. Six hundred ninety-four patients had more than one visit. Data were collected regarding motor/non-motor symptoms at the initial/final visits. Based on the prominent symptom at the initial visit, we classified patients into one of the four subtypes: TD, AR, gait difficulty, and mixed. Rapid progression was defined by emergence of falls, dementia, or dependency within 5years after onset.

RESULTS

TD was the most prevalent subtype (44%), followed by AR (29%), mixed (18%), and gait difficulty (9%). Rapid progression was observed more frequently in gait difficulty compared to AR (OR: 3.59 P<0.001). Hallucinations at the final visit were more likely to occur in AR (OR: 2.36, P=0.005) and mixed (OR: 3.28, P<0.001) compared to TD.

CONCLUSIONS

Our findings provide support for a distinction of four different PD subtypes: TD, AR, gait difficulty, and mixed. The gait difficulty subtype was distinguishable from the AR subtype.

Psychosocial difficulties in patients with Parkinson's disease

The aim of this study was to report the most frequent psychosocial difficulties (PSDs) in patients with Parkinson disease (PD), to explore the relationship between PSDs, disability and quality of life (QoL), and to address the predictors of PSDs. Patients with PD were interviewed using a protocol composed of a questionnaire investigating PSDs (PARADISE 24), QoL, disability, comorbidity, and social support questionnaires, scales on resilience, personality traits, and empathy in physician. Most frequent PSDs were reported. Spearman's correlation was used to address the relationship between PARADISE 24 and QoL and disability measures. Multiple linear regression was performed to investigate predictors of PARADISE 24. Eighty patients were enrolled: 40% women, mean age 61.2 years. The most frequent PSDs were related to cognitive and motor slowness, tiredness, sleeping, facing all things to do, depressive mood, and anxiety. PARADISE 24 were correlated with disability (ρ=0.831) and QoL (ρ=-0.685). Lower QoL, higher disability, early age at onset, and shorter disease duration were significant predictors of PSDs (adjusted R=0.762). PARADISE 24 is an easy to use questionnaire that could contribute toward describing the impact of PD on patients' life more extensively, thus helping to define more tailored interventions.

Cognitive decline, mortality, and organophosphorus exposure in aging Mexican Americans

BACKGROUND

Cognitive impairment is a major health concern among older Mexican Americans, associated with significant morbidity and mortality, and may be influenced by environmental exposures.

OBJECTIVES

To investigate whether agricultural based ambient organophosphorus (OP) exposure influences 1) the rate of cognitive decline and mortality and 2) whether these associations are mediated through metabolic or inflammatory biomarkers.

METHODS

In a subset of older Mexican Americans from the Sacramento Area Latino Study on Aging (n = 430), who completed modified mini-mental state exams (3MSE) up to 7 times (1998-2007), we examined the relationship between estimated ambient OP exposures and cognitive decline (linear repeated measures model) and time to dementia or being cognitively impaired but not demented (CIND) and time to mortality (cox proportional hazards model). We then explored metabolic and inflammatory biomarkers as potential mediators of these relationships (additive hazards mediation). OP exposures at residential addresses were estimated with a geographic information system (GIS) based exposure assessment tool.

RESULTS

Participants with high OP exposure in the five years prior to baseline experienced faster cognitive decline (β = 0.038, p = 0.02) and higher mortality over follow-up (HR = 1.91, 95% CI = 1.12, 3.26). The direct effect of OP exposure was estimated at 241 (95% CI = 27-455) additional deaths per 100,000 person-years, and the proportion mediated through the metabolic hormone adiponectin was estimated to be 4% 1.5-19.2). No other biomarkers were associated with OP exposure.

CONCLUSIONS

Our study provides support for the involvement of OP pesticides in cognitive decline and mortality among older Mexican Americans, possibly through biologic pathways involving adiponectin.

The Key Determinants to Quality of Life in Parkinson's Disease Patients: Results from the Parkinson's Disease Biomarker Program (PDBP)

BACKGROUND

The impact of motor- and non-motor symptoms on health-related quality of life (HRQOL) in Parkinson's disease (PD) has received increasing attention.

OBJECTIVES

To address this, the study explored a large cohort of patients enrolled in the PD Biomarker Program.

METHODS

The PD Questionnaire-39 (PDQ-39) measured HRQOL, whereas the Unified PD Rating Scale (UPDRS) assessed motor and non-motor symptoms. Determinants of HRQOL in PD patients were identified by stepwise linear regression analysis. The relationship between the PDQ-39 and UPDRS subscale scores then was explored through structural equation modeling.

RESULTS

The mean disease duration was 6.8 years and the mean PDQ-39 summary index (PDQ-39SI) was 18.4. UPDRS-I (non-motor function) and UPDRS-II (motor questionnaire) scores demonstrated the strongest correlations with PDQ-39SI (r Ϡ 0.4, P < 0.05), whereas UPDRS-III (motor exam) and UPDRS-IV (motor complications) scores were correlated moderately with PDQ-39SI (0.3 < r < 0.4, P < 0.05). Multiple linear stepwise regression analyses showed that age (β= -0.13, P < 0.001), education (β= -0.07, P = 0.008), UPDRS-I (β= 0.32, P = 0.000), and UPDRS-II (β= 0.44, P < 0.001) significantly contributed to HRQOL, and cumulatively accounted for 69.1% of the PDQ-39SI variance. UPDRS-II score was the primary predictor of PDQ-39SI, accounting for 57.3% of the variance, whereas UPDRS-I score accounted for 7.5%. UPDRS-III and -IV and other factors measured did not survive stepwise regression. Structural equation modeling confirmed the association of UPDRS-II (β= 0.67, P < 0.001) and UPDRS-I (β= 0.35, P < 0.001) with the PDQ-39SI.

CONCLUSION

Both motor and non-motor function scores impacted significantly HRQOL in PD. UPDRS-III, however, has limited contributions to HRQOL although it is used as a main outcome in many clinical trials.

Disrupted Functional Connectivity of Basal Ganglia across Tremor-Dominant and Akinetic/Rigid-Dominant Parkinson's Disease

It is well known that disruption of basal ganglia function generates the motor symptoms in PD, however, these are presented in a heterogeneous manner; patients can be divided into tremor-dominant and akinesia/rigidity-dominant subtypes. To date, it is unknown if these differences in the motor symptoms could be explained by differences on the functional connectivity of basal ganglia with specific brain regions. In this study, we aimed to explore the alterations of the network-based and global functional connectivity linking to basal ganglia between the PD-TD and PD-AR patients. One hundred and six PD patients and 52 normal controls were recruited. According to the subscales of UPDRS motor scale, PD patients were divided into the PD-TD (n = 57) and PD-AR (n = 49) subtypes. We performed independent component analysis to identify basal ganglia network (BGN) involving connected brain regions having coactivation with basal ganglia. Eigenvector centrality mapping were processed and the eigenvector centrality in the subcortical component of BGN including the bilateral caudate nuclei, putamen, thalami and pallidum were extracted to measure the global connectivity. Compared with controls, whole PD patients or PD subtypes showed decreases of functional connectivity within the subcortical component of BGN, e.g., thalamus, pallidum and putamen. Compared with controls, decreased functional connectivity of precuneus and amygdala with basal ganglia was observed in the PD-TD while that of occipital lobule and precuneus was observed in the PD-AR. Compared with the PD-TD, significantly decreased functional connectivity between occipital lobule and cerebellum posterior lobule and basal ganglia was observed in the PD-AR, and such connectivity had positive correlations with tremor and negative correlations with akinesia/rigidity. We also observed enhanced global connectivity in the caudate nucleus and thalamus in the PD subtypes compared with controls. In conclusion, PD patients independent of motor subtypes consistently express similar alterations of functional connectivity within the subcortical component of BGN including network-based connectivity and global connectivity. Functional connectivity of cerebellum posterior lobule and occipital lobule with basal ganglia play important roles in the modulation of parkinsonian motor symptoms.

Organophosphate pesticides and PON1 L55M in Parkinson's disease progression

BACKGROUND

Parkinson's disease (PD) has motor and non-motor features that contribute to its phenotype and functional decline. Organophosphate (OP) pesticides and PON1 L55M, which influences OP metabolism, have been implicated in multiple mechanisms related to neuronal cell death and may influence PD symptom progression.

OBJECTIVE

To investigate whether ambient agricultural OP exposure and PON1 L55M influence the rate of motor, cognitive, and mood-related symptom progression in PD.

METHODS

We followed a longitudinal cohort of 246 incident PD patients on average over 5years (7.5years after diagnosis), repeatedly measuring symptom progression with the Mini-Mental State Exam (MMSE), Unified Parkinson's Disease Rating Scale (UPDRS), and Geriatric Depressive Scale (GDS). OP exposures were generated with a geographic information system (GIS) based exposure assessment tool. We employed repeated-measures regression to assess associations between OP exposure and/or PON1 L55M genotype and progression.

RESULTS

High OP exposures were associated with faster progression of motor (UPDRS β=0.24, 95% CI=-0.01, 0.49) and cognitive scores (MMSE β=-0.06, 95% CI=-0.11, -0.01). PON1 55MM was associated with faster progression of motor (UPDRS β=0.28, 95% CI=0.08, 0.48) and depressive symptoms (GDS β=0.07; 95% CI=0.01, 0.13). We also found the PON1 L55M variant to interact with OP exposures in influencing MMSE cognitive scores (β=-1.26, 95% CI=-2.43, -0.09).

CONCLUSION

Our study provides preliminary support for the involvement of OP pesticides and PON1 in PD-related motor, cognitive, or depressive symptom progression. Future studies are needed to replicate findings and examine whether elderly populations generally are similarly impacted by pesticides or PON1 55M genotypes.

Large-scale identification of clinical and genetic predictors of motor progression in patients with newly diagnosed Parkinson's disease: a longitudinal cohort study and validation

Background

Better understanding and prediction of PD progression could improve disease management and clinical trial design. We aimed to use longitudinal clinical, molecular, and genetic data to develop predictive models, compare potential biomarkers, and identify novel predictors for motor progression in PD. We also sought to assess the use of these models in the design of treatment trials in PD.

Methods

A Bayesian multivariate predictive inference platform was applied to data from the Parkinson’s Progression Markers Initiative (PPMI) study (NCT01141023). We used genetic data and baseline molecular and clinical variables from PD patients and healthy controls to construct an ensemble of models to predict the annualised rate of the Movement Disorder Society-Unified Parkinson’s Disease Rating Scale parts II and III combined. We tested our overall explanatory power, as assessed by the coefficient of determination (R²), and replicated novel findings in an independent clinical cohort of PD patients from the Longitudinal and Biomarker Study in PD (LABS-PD; NCT00605163). The potential utility of these models for clinical trial design was quantified by comparing simulated randomized placebo-controlled trials within the out-of sample LABS-PD cohort.

Findings

A total of 117 controls and 312 PD cases were available for analysis. Our model ensemble exhibited strong performance in-cohort (5-fold cross-validated R²=41%, 95% CI: 35% – 47%) and significant, though reduced, performance out-of-cohort (R²=9%, 95% CI: 4% – 16%). Individual predictive features identified from PPMI data were confirmed in the LABS-PD cohort of 317 PD patients. These included significant replication of higher baseline motor score, male sex, and increased age, as well as a novel PD-specific epistatic interaction all indicative of faster motor progression. Genetic variation was the most useful predictive marker of motor progression (2.9%, 95%CI: 1.5–4.3%). CSF biomarkers at baseline showed a more modest (0.3%; 95%CI: 0.1–0.5%), but still significant effect on motor progression prediction. The simulations (n=5000) showed that incorporating the predicted rates of motor progression into the final models of treatment effect reduced the variability in the study outcome allowing significant differences to be detected at sample sizes up to 20% smaller than in naïve trials.

Interpretation

Our model ensemble confirmed established and identified novel predictors of PD motor progression. Improving existing prognostic models through machine learning approaches should benefit trial design and evaluation, as well as clinical disease monitoring and treatment.

Funding

Michael J. Fox Foundation for Parkinson’s Research and National Institute of Neurological Disorders and Stroke (1P20NS092529-01).

Association of Autonomic Dysfunction With Disease Progression and Survival in Parkinson Disease

Importance

Evidence suggests that development of autonomic dysfunction (AutD) may negatively affect disease course and survival in patients with synucleinopathies. However, the few available studies on Parkinson disease (PD) have conflicting results, comprise a small number of patients, have short follow-up periods, and lack pathologic confirmation of the diagnosis.

Objective

To examine the association of time of onset of AutD with disease progression and survival in PD.

Design, Setting, and Participants

This retrospective review of clinical data from 100 consecutive patients with an autopsy-confirmed diagnosis of PD from the archives of the Queen Square Brain Bank in London, United Kingdom, from January 1, 2006, to June 3, 2016, included patients with PD regularly seen by hospital specialists (neurologists or geriatricians) in the United Kingdom throughout their disease until death. Patients with dementia before or within 1 year after onset of motor symptoms, monogenic forms of PD, comorbidities that affect autonomic function, a coexisting neuropathologic diagnosis, or insufficient clinical information were excluded.

Main Outcomes and Measures

Survival and time from diagnosis to specific disease milestones were calculated to assess disease progression. Autonomic dysfunction was defined as autonomic failure at autonomic function testing or 2 of the following symptoms: urinary symptoms, constipation, upper gastrointestinal tract dysfunction, orthostatic hypotension, sweating abnormalities, or erectile dysfunction. Multivariable Cox proportional hazards regression models on the risk of a disease milestone and death were used.

Results

A total of 100 patients (60 [60.0%] male; mean [SD] age at diagnosis, 63.9 [10.3] years; mean [SD] disease duration, 14.6 [7.7] years) were studied. Autonomic dysfunction developed in 85 patients (mean [SD] time from diagnosis, 6.7 [7.7] years) and was associated with older age at diagnosis, male sex, poor initial levodopa treatment response, and postural instability and gait difficulty motor PD subtype in linear regression analysis, but staging of α-synuclein pathologic changes was unrelated. Earlier AutD increased the risk of reaching the first milestone (hazard ratio, 0.86; 95% CI, 0.83-0.89; P < .001) and shortened survival (hazard ratio, 0.92; 95% CI, 0.88-0.96; P < .001). Older age at diagnosis and poorer levodopa treatment response were the other factors associated with shorter survival in adjusted multivariate analysis.

Conclusions and Relevance

Earlier AutD is associated with a more rapid development of disease milestones and shorter survival in patients with PD.

Longitudinal assessment of excessive daytime sleepiness in early Parkinson's disease

BACKGROUND

Excessive daytime sleepiness (EDS) is common and disabling in Parkinson's disease (PD). Predictors of EDS are unclear, and data on biological correlates of EDS in PD are limited. We investigated clinical, imaging and biological variables associated with longitudinal changes in sleepiness in early PD.

METHODS

The Parkinson's Progression Markers Initiative is a prospective cohort study evaluating progression markers in participants with PD who are unmedicated at baseline (n=423) and healthy controls (HC; n=196). EDS was measured with the Epworth Sleepiness Scale (ESS). Clinical, biological and imaging variables were assessed for associations with EDS for up to 3 years. A machine learning approach (random survival forests) was used to investigate baseline predictors of incident EDS.

RESULTS

ESS increased in PD from baseline to year 3 (mean±SD 5.8±3.5 to 7.55±4.6, p<0.0001), with no change in HC. Longitudinally, EDS in PD was associated with non-tremor dominant phenotype, autonomic dysfunction, depression, anxiety and probable behaviour disorder, but not cognitive dysfunction or motor severity. Dopaminergic therapy was associated with EDS at years 2 and 3, as dose increased. EDS was also associated with presynaptic dopaminergic dysfunction, whereas biofluid markers at year 1 showed no significant associations with EDS. A predictive index for EDS was generated, which included seven baseline characteristics, including non-motor symptoms and cerebrospinal fluid phosphorylated-tau/total-tau ratio.

CONCLUSIONS

In early PD, EDS increases significantly over time and is associated with several clinical variables. The influence of dopaminergic therapy on EDS is dose dependent. Further longitudinal analyses will better characterise associations with imaging and biomarkers.

Determinants of generic and specific health-related quality of life in patients with Parkinson's disease

Objectives

Generic and disease-specific health-related quality of life (HRQoL) instruments may reflect different aspects of lives in patients with Parkinson’s disease (PD) and thus be associated with different determinants. We used the same cluster of predictors for the generic and disease-specific HRQoL instruments to examine and compare the determinants of HRQoL.

Method

HRQoL was measured in 92 patients with PD by the 36-item Short-Form Health Survey (SF-36) and the 39-item Parkinson’s Disease Questionnaire (PDQ-39). The predictors included demographic and disease characteristics, and motor and non-motor symptoms. Multiple regression analyses were used to identify HRQoL determinants.

Results

Depressive symptoms and motor difficulties of daily living were the first two significant determinants for both instruments. The other significant determinant for the SF-36 was fatigue and non-motor difficulties of daily living, and for the PDQ-39 was motor signs of PD.

Conclusions

The results suggest the importance of the evaluation and intervention focused on depressive symptoms and motor difficulties of daily living in patients with PD. In addition, the SF-36 seems more related to non-motor symptoms, while the PDQ-39 appears more associated with motor symptoms. This information is important for understanding results from these two instruments and for choosing which to use.

Development and validation of the Korea Dementia Comorbidity Index (KDCI): A nationwide population-based cohort study from 2002 to 2013

This study develop and validate a simple and accessible measure of comorbidity, named the Korean Dementia Comorbidity index (KDCI), to assist in predicting the onset of dementia. This study used the National Health Insurance Service-Cohort Sample Database from 2002 to 2013 (n=23,856). Cox proportional hazard model was used to estimate incident dementia (International Classification of Disease, 10th edition (ICD-10) codes: F00-F03, G30, G311), with a hazard ratio higher than 1.05 for each comorbid condition being assigned a score. Scores ranging from 1 to 4 were assigned based on the magnitude of the hazard ratio (HR): 1 (1.050≤HR≤1.099), 2 (1.100≤HR≤1.149), 3 (1.150≤HR≤1.199), and 4 (HR≥1.200) Summated scores of comorbidities for each individual constituted the Korean Dementia Comorbidity Index (KDCI). Five patterns were extracted: (1) disease of the eye and adnexa; (2) endocrine and metabolic disease, and disease of circulatory system; (3) disease of the musculoskeletal system and connective tissue; (4) disease of the respiratory system; and (5) disease of the nervous system, and mental and behavioral disorders through factor analysis. Fitting performance by Akaike information criterion (AIC) of CCI by Charlson, CCI by Quan and KDCI adjusting for age and sex was 29,486, 29,488 and 29,444, respectively. Our analysis results on discriminatory abilities provided evidence that KDCI is superior to other comorbidity indices on incident dementia in terms of comorbidity adjustment. Therefore, KDCI can be a useful tool to identify incident dementia. This has implications for clinical management of patients with multimorbidity as well as risk adjustment for database studies.

Relationship between [123 I]-FP-CIT SPECT and clinical progression in Parkinson's disease

BACKGROUND

The demonstration of presynaptic dopaminergic deficiency on [¹²³ I]-FP-CIT SPECT imaging is a useful ancillary tool in the diagnosis of Parkinson's disease (PD). Whilst there is evidence of a cross-sectional relationship between the degree of dopaminergic deficiency and severity of bradykinesia and rigidity, longitudinal studies are rare. Moreover, the relationship between motor subtypes and their dopaminergic deficient state is not well characterized.

AIM

Our primary aim was to assess the correlations between dopaminergic deficiency on baseline [¹²³ I]-FP-CIT SPECT imaging with the progression of motor severity in patients classified by motor subtype, and the development of motor complications. Our secondary aim was to assess the correlation between UPDRS-III subscores and the time to onset of motor complications.

METHODS

42 PD patients with abnormal baseline [¹²³ I]-FP-CIT SPECT scans and at least 3 years of clinical follow-up were classified by motor subtype: akinetic-rigid, tremor-dominant or mixed. UPDRS-III scores at baseline and at 3-year follow-up, and time to onset of motor complications were recorded.

RESULTS

[¹²³ I]-FP-CIT uptake ratios were inversely correlated with UPDRS-III scores at 3 years only in akinetic-rigid patients (r=-.51, P=.04). Time to onset of motor complications was inversely correlated with UPDRS-III subscores for bradykinesia and rigidity at baseline (r=-.52, P=.02) and at 3 years (r=-.54, P=.01).

CONCLUSION

The degree of dopaminergic deficiency on baseline [¹²³ I]-FP-CIT SPECT inversely correlates with motor severity at 3-year follow-up in akinetic-rigid patients only. Furthermore, UPDRS-III subscores for bradykinesia and rigidity at baseline show an inverse correlation with time to onset of motor complications across all PD subtypes.

Assessing Motor Fluctuations in Parkinson's Disease Patients Based on a Single Inertial Sensor

Altered movement control is typically the first noticeable symptom manifested by Parkinson's disease (PD) patients. Once under treatment, the effect of the medication is very patent and patients often recover correct movement control over several hours. Nonetheless, as the disease advances, patients present motor complications. Obtaining precise information on the long-term evolution of these motor complications and their short-term fluctuations is crucial to provide optimal therapy to PD patients and to properly measure the outcome of clinical trials. This paper presents an algorithm based on the accelerometer signals provided by a waist sensor that has been validated in the automatic assessment of patient's motor fluctuations (ON and OFF motor states) during their activities of daily living. A total of 15 patients have participated in the experiments in ambulatory conditions during 1 to 3 days. The state recognised by the algorithm and the motor state annotated by patients in standard diaries are contrasted. Results show that the average specificity and sensitivity are higher than 90%, while their values are higher than 80% of all patients, thereby showing that PD motor status is able to be monitored through a single sensor during daily life of patients in a precise and objective way.

Assessment of the correlation between gait and balance disorders, and the severity of motor symptoms in Parkinson’s disease, depression and cognitive impairment

Introduction: Postural instability in patients with Parkinson’s disease (PD) is one of the major factors contributing to an increasing number of falls and fall related complications. Diagnosis of balance disorder is based on assessment of postural control by the biomechanical assessment of the musculoskeletal system, coordinating speed and precision of movements. The condition for the performance of precise and smooth movement is coordination of motor activity and sensory signals fl owing to the motor system. Study aim: The aim of the study is to assess the impact of non-motor symptoms (depression and cognitive impairment) and the impact of the severity of motor symptoms on the process of course of movement planning and control in Parkinson’s disease. Material and methods: The study involved 40 patients with idiopathic Parkinson’s disease, diagnosed according to the criteria adopted by the United Kingdom Parkinson’s Disease Society Brain Bank (UKPDSBB), with stage II or III severity of symptoms of the disease according to the Hoehn-Yahr sclae. All the patients underwent physical examination with an evaluation using the UPDRS (Unifi ed Parkinson’s Disease Rating Scale) and screening clinical trials were performed, evaluating cognitive functions (Montreal Cognitive Assessment, MoCA) and depressive disorders (Beck Depression Inventory, BDI). Evaluation of mobility, stability and motor control was done using the Berg Balance Scale (BBS), the Tinetti test, the Up and Go test (TUG) and the Dynamic Gait Index (DGI). Results: There was a signifi cant correlation between the level of severity of movement disorders (according to UPRDS ON part III) and the parameters defi ning motor skills in the DGI (R= -0.49, p<0.001), the TUG test evaluating mobility (R=0.4, p<0.01), and static and dynamic balance disorder using BBS (R=-0.44, p<0.004). The level of cognitive functioning had signifi cant impact on the mobility and stability of patients, and the occurrence of depressive disorder did not affect the deterioration of basic postural reactions in the group of patients with PD. Cite this article as: Czechowicz B., Siuda J., Bednar M., Nowakowska I., Rudzińska-Bar M. Assessment of the correlation between gait and balance disorders, and the severity of motor symptoms in Parkinson’s disease, depression and cognitive impairment. Med Rehabil 2016; 20(2): 13-19.

Review: Parkinson's disease: from synaptic loss to connectome dysfunction

Parkinson's disease (PD) is a common neurodegenerative disorder with prominent loss of nigro-striatal dopaminergic neurons. The resultant dopamine (DA) deficiency underlies the onset of typical motor symptoms (MS). Nonetheless, individuals affected by PD usually show a plethora of nonmotor symptoms (NMS), part of which may precede the onset of motor signs. Besides DA neuron degeneration, a key neuropathological alteration in the PD brain is Lewy pathology. This is characterized by abnormal intraneuronal (Lewy bodies) and intraneuritic (Lewy neurites) deposits of fibrillary aggregates mainly composed of α-synuclein. Lewy pathology has been hypothesized to progress in a stereotypical pattern over the course of PD and α-synuclein mutations and multiplications have been found to cause monogenic forms of the disease, thus raising the question as to whether this protein is pathogenic in this disorder. Findings showing that the majority of α-synuclein aggregates in PD are located at presynapses and this underlies the onset of synaptic and axonal degeneration, coupled to the fact that functional connectivity changes correlate with disease progression, strengthen this idea. Indeed, by altering the proper action of key molecules involved in the control of neurotransmitter release and re-cycling as well as synaptic and structural plasticity, α-synuclein deposition may crucially impair axonal trafficking, resulting in a series of noxious events, whose pressure may inevitably degenerate into neuronal damage and death. Here, we provide a timely overview of the molecular features of synaptic loss in PD and disclose their possible translation into clinical symptoms through functional disconnection.

Unmet needs in Parkinson's disease: New horizons in a changing landscape

The success of levodopa and other classes of drugs have meant that most people with Parkinson's disease enjoy a good quality of life for many years. However, despite the availability of several drugs and formulations that can be used as monotherapy and in combination, there are a number of disease features that the current therapies are unable to address. The disease continues to progress despite treatment, patients suffer from a myriad of motor and non-motor symptoms, and a neuroprotective therapy is urgently required. To move forward with medical and surgical management, it is important to consider new insights that recent research offers and in this review we examine how a better understanding of the disease pathology and progression might improve and enrich our daily clinical practice. It is also timely to consider the service provision changes that will increasingly be needed to effectively manage the needs of the aging population.

Predictors of Functional Decline in Early Parkinson's Disease: NET-PD LS1 Cohort

BACKGROUND

Data on predictors of decline in PD are largely based on de-novo populations and limited to the use of motor outcomes that fail to capture the full scope of disease.

OBJECTIVE

Determine the clinical predictors of decline in early treated PD using a novel multi-domain measure.

METHODS

Data from NINDS Exploratory Trials in PD Long-Term Study 1 (NET-PD LS1), a multicenter Phase 3 study of creatine in early treated PD, were analyzed. Functional decline was defined by a global outcome metric (GO) that consisted of: Schwab and England ADL scale, PD 39-item Questionnaire, Unified PD Rating Scale, Ambulatory Capacity Score, Symbol Digit Modalities Test, and Modified Rankin Scale. Univariate and multivariate models were used to test the association of predictors of interest with a standardized rank-sum of the GO.

RESULTS

765 of 1741 participants completed five-year assessments and were included. Older age at disease onset (p <  0.0001), higher baseline levodopa equivalent dose (p = 0.01), and worse Scales for Outcomes of Parkinson's Disease Cognition score (p = 0.001) at baseline were the strongest predictors of functional decline in multivariate analysis. PD symptom subtype was not a significant predictor of outcome (p = 0.42). The full model was only a modest predictor of change in GO (R2 = 0.186).

CONCLUSIONS

This is the largest study to systematically assess predictors of functional decline in early treated PD over several years, and the first to use a multi-domain outcome measure of decline. Older age at disease onset and worse cognition, and not PD subtype, were predictors of decline.

Contribution of Axial Motor Impairment to Physical Inactivity in Parkinson Disease

OBJECTIVE

The objective of this study was to investigate the relationships between motor symptoms of Parkinson disease (PD) and activity limitations in persons with PD.

DESIGN/METHODS

This is a cross-sectional study of persons with mild to moderate PD (N = 90). Associations among axial motor features, limb motor signs, the Physical Activity Scale for the Elderly, the ability to perform Activities of Daily Living (ADLs), and level of ADL dependency were studied. A composite score of axial motor features included the following Unified Parkinson Disease Rating Scale items: speech, rigidity of the neck, arising from chair, posture, gait, and postural stability. A composite score of limb motor signs included the following Unified Parkinson Disease Rating Scale items: tremor at rest of all extremities, action tremor, rigidity of all extremities, finger taps, hand movement, rapid alternating hand movements, and foot tapping.

RESULTS

Axial motor features of PD were significantly correlated with physical inactivity (P < 0.001), decreased ADL (P < 0.001), and increase in ADL dependency (P < 0.001). Limb motor signs significantly correlated with decreased ADL (P < 0.001) and level of ADL dependency (P = 0.035) but did not correlate with physical inactivity. After controlling for age, sex, disease duration, and comorbidity, axial motor features contributed significantly to physical inactivity, decreased ADL, and increase in ADL dependency, whereas the limb motor signs did not.

CONCLUSIONS

Axial motor impairment contributed to physical inactivity and decreased ability to perform ADLs in persons with PD.

Exploring the Effects of Genetic Variants on Clinical Profiles of Parkinson's Disease Assessed by the Unified Parkinson's Disease Rating Scale and the Hoehn-Yahr Stage

Many genetic variants have been linked to familial or sporadic Parkinson’s disease (PD), among which those identified in PARK16, BST1, SNCA, LRRK2, GBA and MAPT genes have been demonstrated to be the most common risk factors worldwide. Moreover, complex gene-gene and gene-environment interactions have been highlighted in PD pathogenesis. Compared to studies focusing on the predisposing effects of genes, there is a relative lack of research investigating how these genes and their interactions influence the clinical profiles of PD. In a cohort consisting of 2,011 Chinese Han PD patients, we selected 9 representative variants from the 6 above-mentioned common PD genes to analyze their main and epistatic effects on the Unified Parkinson’s Disease Rating Scale (UPDRS) and the Hoehn and Yahr (H-Y) stage of PD. With multiple linear regression models adjusting for medication status, disease duration, gender and age at onset, none of the variants displayed significant main effects on UPDRS or the H-Y scores. However, for gene-gene interaction analyses, 7 out of 37 pairs of variants showed significant or marginally significant associations with these scores. Among these, the GBA rs421016 (L444P)×LRRK2 rs33949390 (R1628P) interaction was consistently significant in relation to UPDRS III and UPDRS total (I+II+III), even after controlling for the family-wise error rate using False Discovery Rate (FDR-corrected p values are 0.0481 and 0.0070, respectively). Although the effects of the remaining pairs of variants did not survive the FDR correction, they showed marginally significant associations with either UPDRS or the H-Y stage (raw p<0.05). Our results highlight the importance of epistatic effects of multiple genes on the determination of PD clinical profiles and may have implications for molecular classification and personalized intervention of the disease.

A clinical view on the development of technology-based tools in managing Parkinson's disease

Recently, quantitative, objective, and easy-to-use technology-based tools that can assess PD features over long time periods have been developed and generate clinically relevant and comparable patient information. Herein, we present a clinician's view on technological developments that have the potential to revolutionize clinical management concepts in PD. According to prominent examples in clinical medicine (e.g., blood glycosylated hemoglobin and blood pressure), we argue that the consideration of technology-based assessment in the clinical management of PD must be based on specific assumptions: (1) It provides a valid and accurate parameter of a clinically relevant feature of the disease; (2) there is confirmed evidence that the parameter has an ecologically relevant effect on the specific clinical application; (3) a target range can be defined wherein the parameter reflects the adequate treatment response; and (4) implementation is simple to allow repetitive use. Currently, there are no technology-based tools available that fulfil all these assumptions; however, assessments of akinesia, dyskinesia, motor fluctuations, physical inactivity, gait impairment, and postural instability seem relatively close to the specifications described. An iterative process of integration is recommended to bring technology-based tools into clinical practice. © 2016 International Parkinson and Movement Disorder Society.

Diabetes, Gray Matter Loss, and Cognition in the Setting of Parkinson Disease

RATIONALE AND OBJECTIVES

Parkinson disease (PD) is a progressive neurodegenerative disorder affecting motor and cognitive functions. Prior studies showed that patients with PD and diabetes (DM) demonstrate worse clinical outcomes compared to nondiabetic subjects with PD. Our study aimed at defining the relationship between DM, gray matter volume, and cognition in patients with PD.

MATERIALS AND METHODS

This study included 36 subjects with PD (12 with DM, 24 without DM, mean age = 66). Subjects underwent high-resolution T1-weighted brain magnetic resonance imaging, [(11)C]dihydrotetrabenazine positron emission tomography imaging to quantify nigrostriatal dopaminergic denervation, clinical, and cognitive assessments. Magnetic resonance images were postprocessed to determine total and lobar cortical gray matter volumes. Cognitive testing scores were converted to z-scores for specific cognitive domains and a composite global cognitive z-score based on normative data computed. Analysis of covariance, accounting for effects of age, gender, intracranial volume, and striatal [(11)C]dihydrotetrabenazine binding, was used to test the relationship between DM and gray matter volumes.

RESULTS

Impact of DM on total gray matter volume was significant (P = 0.02). Post hoc analyses of lobar cortical gray matter volumes revealed that DM was more selectively associated with lower gray matter volumes in the frontal regions (P = 0.01). Cognitive post hoc analyses showed that interaction of total gray matter volume and DM status was significantly associated with composite (P = 0.007), executive (P = 0.02), and visuospatial domain cognitive z-scores (P = 0.005). These associations were also significant for the frontal cortical gray matter.

CONCLUSION

DM may exacerbate brain atrophy and cognitive functions in PD with greater vulnerability in the frontal lobes. Given the high prevalence of DM in the elderly, delineating its effects on patient outcomes in the PD population is of importance.

Motor and nonmotor heterogeneity of LRRK2-related and idiopathic Parkinson's disease

BACKGROUND

Parkinson's disease (PD) associated with LRRK2 mutations has been described as similar to idiopathic PD with minor clinical differences. No study has compared the clinical features of LRRK2-associated PD due to different mutations. The objective of this study was to compare LRRK2-associated PD due to G2019S and G2385R mutations and to compare each to idiopathic PD.

METHODS

Sites within the international LRRK2 Cohort Consortium undertook family-based, community-based, or clinic-based studies to gather clinical data on manifesting carriers and patients with idiopathic PD.

RESULTS

Five hundred sixteen PD patients with the G2019S mutation, 199 with the G2385R mutation, and 790 patients with idiopathic PD were included in the data set. Adjusted for age, sex, disease duration, and levodopa-equivalent daily dose, mean MDS-UPDRS part II or III scores and the frequency of motor fluctuations were higher in the G2385R mutation carriers than in either the G2019S mutation carriers or idiopathic PD patients. G2019S mutation carriers had significantly lower UPDRS part III scores than idiopathic PD patients. Both G2019S and G2385R mutation carriers had a higher proportion of the postural instability gait disorder phenotype compared with idiopathic PD patients. LRRK2 G2019S PD patients had better UPSIT scores and lower Geriatric Depression Scale scores than idiopathic PD patients in adjusted analyses.

CONCLUSIONS

G2385R and G2019S PD appear to have motor differences that may be explained by contrasting local treatment or measurement practices or differences in the biology of the disease. Longitudinal studies should evaluate whether progression is faster in G2385R mutation carriers compared with G2019S PD or idiopathic PD. © 2016 International Parkinson and Movement Disorder Society.

Development and external validation of a prognostic model in newly diagnosed Parkinson disease

OBJECTIVE

To develop a prognostic model to predict disease outcomes in individual patients with Parkinson disease (PD) and perform an external validation study in an independent cohort.

METHODS

Model development was done in the Comorbidity and Aging in Rehabilitation Patients: The Influence on Activities (CARPA) cohort (Netherlands). External validation was performed using the Cambridgeshire Parkinson's Incidence from GP to Neurologist (CamPaIGN) cohort (UK). Both are longitudinal incident cohort studies that prospectively followed up patients with PD from the time of diagnosis. A composite outcome measure was made in which patients were classified as having an unfavorable prognosis when they had postural instability or dementia at the 5-year assessment (or at the last assessment before loss to follow-up), or had died before this time. The final model was derived with a backward selection strategy from candidate predictor variables that were measured at baseline.

RESULTS

In the resulting model, higher patient age, higher Unified Parkinson's Disease Rating Scale motor examination axial score, and a lower animal fluency score were all associated with a higher probability of an unfavorable outcome. External validation confirmed good discriminative ability between favorable and unfavorable outcomes with an area under the receiver operating characteristic curve of 0.85 (95% confidence interval 0.77-0.93) and a well-calibrated model with a calibration slope of 1.13 and no significant lack of fit (Hosmer-Lemeshow test: p = 0.39).

CONCLUSION

We constructed a model that allows individual patient prognostication at 5 years from diagnosis, using a small set of predictor variables that can easily be obtained by clinicians or research nurses.

Memory Similarities Between Essential Tremor and Parkinson's Disease: A Final Common Pathway?

OBJECTIVE

A growing body of literature supports the view that essential tremor (ET) involves alteration of cerebellar-thalamo-cortical networks which can result in working memory and executive deficits. In this study, we tested the hypothesis that individuals with ET would exhibit worse performance on memory tasks requiring more intrinsic organization and structuring (i.e., word lists) relative to those with fewer 'executive' demands (i.e., stories), similar to that previously observed in individuals with Parkinson's disease (PD).

METHOD

Participants included a convenience sample of 68 ET patients and 68 idiopathic PD patients, retrospectively matched based on age, education, and sex. All patients underwent routine neuropsychological evaluation assessing recent memory, auditory attention/working memory, language, and executive function. Memory measures included the Hopkins Verbal Learning Test-R and WMS-III Logical Memory.

RESULTS

Both ET and PD patients performed significantly worse on word list than story memory recall tasks. The magnitude of the difference between these two memory tasks was similar for ET and PD patients. In both patient groups, performance on measures of executive function and auditory attention/working memory was not distinctly correlated with word list vs. story recall.

CONCLUSIONS

These findings suggest that frontal-executive dysfunction in both ET and PD may negatively influence performance on memory tests that are not inherently organized. Although the pathophysiology of these two 'movement disorders' are quite distinct, both have downstream effects on thalamo-frontal circuitry which may provide a common pathway for a similar memory phenotype. Findings are discussed in terms of neuroimaging evidence, conceptual models, and best practice.

Depression and anxiety are co-morbid but dissociable in mild Parkinson's disease: A prospective longitudinal study of patterns and predictors

BACKGROUND

Depression and anxiety are common in Parkinson's disease (PD) and contribute significantly to a reduced quality of life in PD patients. Though they often co-exist, it is unclear whether depression and anxiety result from a shared pathological process. We studied the longitudinal course and determinants of depression and anxiety in PD in order to understand which factors contribute to the development of these symptoms.

METHODS

We conducted a prospective longitudinal study of 89 mild PD patients over 18 months, measuring depressive and anxiety symptoms at 6 monthly intervals using the Geriatric Depression Scale and Hospital Anxiety and Depression Scale--'Anxiety' subscale. Univariate and multivariate Generalised Estimating Equations were used to investigate the course of depression and anxiety and their association with demographic factors, motor measures, non-motor symptoms, and pharmacological factors.

RESULTS

Depression and anxiety were co-morbid in 13.5% of the sample. Depressive symptoms remained relatively stable while anxiety symptoms improved over the course of 18 months. Severity of depressive symptoms was associated with female gender, motor fluctuations, apathy, and anxiety, while severity of anxiety was associated with older age, higher educational attainment, shorter disease duration, younger age of disease onset, and excessive daytime sleepiness.

CONCLUSIONS

Although depression and anxiety are frequently co-morbid in PD, they were dissociable from each other. They had distinct trajectories and different longitudinal relationships with demographic, motor, and non-motor factors that were unique to each disorder.

Health-Related Quality of Life in patients with Parkinson's disease--A systematic review based on the ICF model

We analyzed features associated with a reduction in Health-Related Quality of Life (HRQoL) in people with idiopathic Parkinson's disease (PD). As a new approach, features were embedded in the WHO framework for measuring health and disability, the ICF model. From 609 articles screened, 114 articles were included. Features aligned with the ICF's body functions and structures domain (BFS) were investigated more often than personal features, activities of daily living, environmental factors, and participation in societal roles (95, 42, 35, 29 and 14 times, respectively). The strongest associations were found for the relationships between HRQoL and "psychosocial functioning" from the participation domain and HRQoL, and "mobility limitations" from the activities domain. For the BFS, non-motor symptoms were more closely associated with reduced HRQoL than motor symptoms. In conclusion, this systematic review (i) provides entirely new insights in the association of HRQoL with PD features, (ii) shows an imbalance between most extensively investigated and most relevant features for HRQoL, and (iii) demonstrates the usefulness of the ICF model for such an approach.

The role of prefrontal cortex during postural control in Parkinsonian syndromes a functional near-infrared spectroscopy study

Postural instability represents a main source of disability in Parkinsonian syndromes and its pathophysiology is poorly understood. Indirect probes (i.e., mental imagery) of brain involvement support the role of prefrontal cortex as a key cortical region for postural control in older adults with and without Parkinsonian syndromes. Using functional near infrared spectroscopy (fNIRs) as a direct online cortical probe, this study aimed to compare neural activation patterns in prefrontal cortex, postural stability, and their respective interactions, in (1) patients with Parkinsonian syndromes; (2) those with mild parkinsonian signs; (3) and healthy older adults. Among 269 non-demented older adults (76.41 ± 6.70 years, 56% women), 26 individuals presented with Parkinsonian syndromes (Unified Parkinson's disease rating scale (UPDRS): 11.08 ± 3.60), 117 had mild parkinsonian signs (UPDRS: 3.21 ± 2.49), and 126 individuals were included as a healthy control group. Participants were asked to stand upright and count silently for ten seconds while changes in oxygenated hemoglobin levels over prefrontal cortex were measured using fNIRs. We simultaneously evaluated postural stability with center of pressure velocity data recorded on an instrumented walkway. Compared to healthy controls and patients with mild parkinsonian signs, patients with Parkinsonian syndromes demonstrated significantly higher prefrontal oxygenation levels to maintain postural stability. The pattern of brain activation and postural control of participants with mild parkinsonian signs were similar to that of normal controls. These findings highlight the online role of the prefrontal cortex in postural control in patients with Parkinsonian syndromes and afford the opportunity to improve therapeutic options for postural instability.

Parkinson's disease beyond 20 years

BACKGROUND

A very limited number of studies report data on the clinical features of Parkinson's disease (PD) 20 years after onset and beyond.

OBJECTIVE

To characterise PD 20 years after onset, investigating the impact of age at onset and disease duration on the clinical picture and the predictors of outcomes in patients reaching the 20-year time point.

METHODS

We conducted a retrospective, cross-sectional study and a longitudinal study. All case visits of patients with a disease duration ≥20 years (N=401) were stratified by disease duration (20-22, 23-25, ≥26 years) and by age at onset (cut-off, 50 years). Patients with a disease duration of 20-22 years (N=320) were prospectively followed up for a median of 45 months (IQR 23-89) for the new occurrence of fracture, percutaneous endoscopic gastrostomy, institutionalisation, confinement to a wheelchair or bed and death.

RESULTS

Older age at onset and longer disease duration were independently associated with a higher prevalence of major motor and non-motor milestones of disease disability (no interaction observed). In the longitudinal study, the most frequent outcomes were death (N=92), confinement to a wheelchair or bed (N=67) and fracture (N=52). Mortality was associated with the gender: male, older age, dysphagia, orthostatic hypotension, postural instability, fractures and institutionalisation. Fracture was associated with postural instability. Predictors of permanent confinement to a wheelchair or bed were older age, postural instability and institutionalisation. Comorbid dementia at the 20-year examination did not predict any of the outcomes.

CONCLUSIONS

Age at onset and disease duration are independent determinants of the clinical features of PD beyond 20 years. Non-motor symptoms depend more on age at onset rather than the disease duration itself. Non-levodopa-responsive axial symptoms are the main predictors of all relevant outcomes.

A systematic review of loss of independence in Parkinson's disease

Functional dependency (needing help with basic ADLs) is an important outcome in Parkinson's disease (PD). "Death or dependency", as opposed to being alive and independent, is a useful dichotomous indicator of poor outcome. We aimed to systematically review the progression to dependency in PD and what factors predicted development of dependency. Comprehensive searches were performed to identify observational studies of dependency in PD with follow-up of at least 3 years. Other forms of parkinsonism and highly selected cohorts were excluded. Descriptive analysis of included studies was performed and outcomes over time were plotted by type of cohort (inception/non-inception). Independent prognostic factors were identified. There were insufficient data for meta-analysis. Of 15,154 unique references identified, 14 studies were included. Most studies were of low quality. There was heterogeneity in definitions of dependency and the measured risk of dependency at similar time-points. Risk of dependency in inception studies was about 10-25 % at 5 years and about 20-50 % at 10 years; and risk of "death or dependency" in the inception studies was about 15-40 % at 5 years and about 35-70 % at ten years. More bradykinesia and older age were associated with more dependency, but there was little evidence for other prognostic factors. Few high-quality data on dependency are available. Heterogeneity in study populations, methodology and outcome reporting made data synthesis difficult. Few prognostic factors have been identified. Further data from representative inception studies are necessary to better understand the progression of dependency in PD.

Impact of Depression on Progression of Impairment and Disability in Early Parkinson's Disease

BACKGROUND

Depression is one of the most common nonmotor symptoms associated with Parkinson's disease (PD), yet the impact of depression on progression of disease is unclear.

OBJECTIVE

The aim of this study was to prospectively characterize the relationship between depressive symptoms and measures of disease progression in a large sample of patients with early, medically treated PD.

METHODS

Baseline and longitudinal Beck Depression Inventory (BDI) scores from participants in the NINDS Exploratory Trials in PD Long Term Study 1 were correlated with changes in multiple measures of disease severity over 5 years. Multivariate analysis of predictors of change in BDI was performed.

RESULTS

Of 1,741 participants, 746 completed 5-year assessments and were included. Mean age was 62.00 years (standard deviation [SD]: 9.22) and mean disease duration was 1.69 years (SD, 1.16). Mean BDI score was 6.24 (SD, 5.02) at baseline and 8.57 (SD, 6.60) at 5 years. Baseline BDI score was strongly associated with rate of change in all examined measures of disease severity. In multivariate analysis, BDI 5-year change was associated with change in UPDRS Part I (excluding depression item; P < 0.01), 33-item Parkinson's Disease Questionnaire (P < 0.01), EuroQOL Five Dimensional Questionnaire (P = 0.02), and Total Functional Capacity (P < 0.01), but was not associated with motor or cognitive measures. This model explained 68.8% of the variance 5-year change of the BDI score.

CONCLUSIONS

Worse baseline BDI scores are associated with a decline in multiple measures of disease severity in PD. Worsening of BDI at 5 years was associated with worsening in UPDRS Part I and quality-of-life measures, but not with motor or cognitive measures.

Collection and analysis of a Parkinson speech dataset with multiple types of sound recordings

There has been an increased interest in speech pattern analysis applications of Parkinsonism for building predictive telediagnosis and telemonitoring models. For this purpose, we have collected a wide variety of voice samples, including sustained vowels, words, and sentences compiled from a set of speaking exercises for people with Parkinson's disease. There are two main issues in learning from such a dataset that consists of multiple speech recordings per subject: 1) How predictive these various types, e.g., sustained vowels versus words, of voice samples are in Parkinson's disease (PD) diagnosis? 2) How well the central tendency and dispersion metrics serve as representatives of all sample recordings of a subject? In this paper, investigating our Parkinson dataset using well-known machine learning tools, as reported in the literature, sustained vowels are found to carry more PD-discriminative information. We have also found that rather than using each voice recording of each subject as an independent data sample, representing the samples of a subject with central tendency and dispersion metrics improves generalization of the predictive model.

Clinical characteristics related to worsening of motor function assessed by the Unified Parkinson's Disease Rating Scale in the elderly population

There is evidence that nigrostriatal pathology may at least partly underlie mild Parkinsonian signs. We evaluated whether an increase in the Unified Parkinson's Disease Rating Scale part III (UPDRS-III) could be predicted by the presence of risk and prodromal markers for neurodegenerative diseases in elderly individuals without those diseases. Therefore, we analyzed the UPDRS-III score and various risk and prodromal markers known to antecede neurodegenerative diseases in a population-based cohort comprising 807 individuals free of neurodegenerative diseases at baseline. After 5 years, eight persons (1.0 %) were diagnosed with Parkinson's Disease (PD). Of those, seven (87.5 %) had motor worsening ≥3 points on the UPDRS-III from baseline to follow-up, one had two points increase. Of the 788 people without PD, 568 (72.1 %) showed no increase in the UPDRS-III scale, 220 (27.9 %) had ≥1 point increase and out of these 104 (13.2 %) had an increase of ≥3 points in the UPDRS-III score after 5 years. We identified an age >60 years (relative risk, RR = 1.7; confidence interval, CI 1.3-2.1) and the occurrence of ≥2 risk factors (RR = 1.5; CI 1.2-1.9) as possible predictors of motor progression. After 5 years, individuals with an increase in the UPDRS-III score had more often a one-sided reduced arm swing (p < 0.001) and identified less odors in the Sniffin' sticks test (p < 0.041) than persons with stable motor performance. Our data support the assumption that progression of Parkinsonian signs assessed by the UPDRS-III parallels the development of prodromal markers for neurodegenerative diseases in the elderly population.

Bilateral subthalamic stimulation for advanced Parkinson disease: early experience at an Eastern center

Deep brain stimulation (DBS) of the subthalamic nucleus (STN) can improve the life quality of patients with advanced Parkinson disease (PD). However, previous studies have stemmed mainly from Western centers. Present study analyzed the 6-month outcomes of bilateral STN-DBS therapy that were observed during a 9-year period at a Taiwanese institute. We retrospectively reviewed 72 consecutive patients, whose mean disease history was 8 years when they underwent surgery. The median "drug-off" Hoehn and Yahr stage was 3. The STN was targeted using T2-weighted magnetic resonance imaging and electrophysiological guidance. The over-time mean differences in the Unified PD Rating Scale (UPDRS) scores and daily levodopa-equivalent dose (LED) were assessed using the repeated measurements ANOVA at 3 and 6 months relative to those of presurgical drug-off baseline. At 6 months postsurgery, the mean UPDRS total, Part II and Part III subscores significantly decreased by 27, 30 and 25 %, respectively, with clinically high effect size. Tremors were markedly (66 %) ameliorated. Moreover, problems of akinesia, rigidity, and locomotion were significantly improved by 20 %. The mean daily LED needs decreased by 25 %; thus, drug-induced dyskinesia was markedly (80 %) diminished. STN-DBS therapy could provide similarly effective impacts to Eastern and Western PD patients. Preoperative optimal selection of patients and postoperative delicate programming ensure a better surgical improvement.

Clinical Features of Patients with Concomitant Parkinson's Disease and Progressive Supranuclear Palsy Pathology

The pathologic changes of Parkinson's disease (PD) and Progressive Supranuclear Palsy (PSP) have been reported to coexist, but whether PSP pathology modifies the clinical course of those individuals is unknown. The aim of this study was to determine whether clinical features of pathologically confirmed PD subjects with concomitant PSP pathology differ from those with PD alone. Subjects enrolled in the Arizona Study of Aging and Neurodegenerative Disorders had annual movement and cognitive evaluations from enrollment until death/autopsy. All cases between 1997 and 2014 with a final clinicopathological diagnosis of PD with or without PSP at autopsy were analyzed. Overall, 12 of the 125 cases with pathologically confirmed PD had coexisting PSP pathology (9.6%). Those with PD-PSP had more-prominent postural instability, body bradykinesia, difficulty arising from a chair, and falls; asymmetric onset was less common in this group. Downgaze palsy and square wave jerks were infrequent in both groups. Gender, age at death, disease duration, rate of dementia, and presence of rest tremor did not differ between groups. Only 58% of subjects in the PD-PSP group were correctly given a final diagnosis in life of PD, compared to 91% of those with PD alone. The combination of PD and PSP pathology yields a heterogeneous clinical syndrome that often resembles PD, but may be more symmetric at onset and have more-prominent postural instability and falls. Our observations suggest that coexisting PSP pathology may be an important factor contributing to the clinical heterogeneity in PD and a potential confounder in diagnosis.

Clinical evolution of Parkinson's disease and prognostic factors affecting motor progression: 9-year follow-up study

BACKGROUND AND PURPOSE

There have been few long-term studies that have characterized and charted the clinical progression of Parkinson's disease (PD). This study was therefore undertaken to understand the natural clinical evolution of treated PD patients and to identify the variables that predict greater progression in these patients.

METHODS

A longitudinal linear mixed model analysis of motor score progression was performed on 576 PD patients derived from the National Neuroscience Institute Movement Disorders Database. Clinical and demographic variables were taken at baseline and formed the subgroups for comparison (gender, age at diagnosis, subtype, Mini-Mental State Examination score and baseline motor score). Motor score progression was calculated at each patient follow-up time point as the difference between Unified Parkinson's Disease Rating Scale (UPDRS) motor score at baseline and follow-up scores.

RESULTS

The overall annual motor score progression as measured by the change of UPDRS motor scores from baseline ranged from 0.62% to 3.67%. There are three distinct phases: improvement, stability, and steady progression. Patients returned to baseline score 2-2.5 years after diagnosis, with stability lasting to 7 years, followed by a period of steady progression. When analyzed longitudinally, male gender (P < 0.03), older age at diagnosis (P < 0.05), akinetic-rigid subtype (P < 0.04), cognitive impairment (P < 0.005) and lower baseline motor score (P < 0.04) were associated with greater progression of motor scores.

CONCLUSIONS

Our results show that, when measured clinically, motor progression was non-linear and that it occurred in distinct phases, all of which were affected by baseline demographic and clinical variables such as gender, age at diagnosis, disease subtype, cognitive status and baseline motor score.

Time to redefine PD? Introductory statement of the MDS Task Force on the definition of Parkinson's disease

With advances in knowledge disease, boundaries may change. Occasionally, these changes are of such a magnitude that they require redefinition of the disease. In recognition of the profound changes in our understanding of Parkinson's disease (PD), the International Parkinson and Movement Disorders Society (MDS) commissioned a task force to consider a redefinition of PD. This review is a discussion article, intended as the introductory statement of the task force. Several critical issues were identified that challenge current PD definitions. First, new findings challenge the central role of the classical pathologic criteria as the arbiter of diagnosis, notably genetic cases without synuclein deposition, the high prevalence of incidental Lewy body (LB) deposition, and the nonmotor prodrome of PD. It remains unclear, however, whether these challenges merit a change in the pathologic gold standard, especially considering the limitations of alternate gold standards. Second, the increasing recognition of dementia in PD challenges the distinction between diffuse LB disease and PD. Consideration might be given to removing dementia as an exclusion criterion for PD diagnosis. Third, there is increasing recognition of disease heterogeneity, suggesting that PD subtypes should be formally identified; however, current subtype classifications may not be sufficiently robust to warrant formal delineation. Fourth, the recognition of a nonmotor prodrome of PD requires that new diagnostic criteria for early-stage and prodromal PD should be created; here, essential features of these criteria are proposed. Finally, there is a need to create new MDS diagnostic criteria that take these changes in disease definition into consideration.