Years Of Parkinson's Disease Research Articles

Effects of subthalamic nucleus deep brain stimulation on the speech of Spanish-speaking Parkinson's disease patients during the first year of treatment.

To describe the effects of subthalamic nucleus deep brain stimulation (STN-DBS) on the speech of Spanish-speaking Parkinson's disease (PD) patients during the first year of treatment. The speech measures (SMs): maximum phonation time, acoustic voice measures, speech rate, speech intelligibility measures, and oral diadochokinesis rates of nine Colombian idiopathic PD patients (four females and five males; age = 63 ± 7 years; years of PD = 10 ± 7 years; UPDRS-III = 57 ± 6; H&Y = 2 ± 0.3) were studied in OFF and ON medication states before and every three months during the first year after STN-DBS surgery. Praat software and healthy native listeners' ratings were used for speech analysis. Statistical analysis tried to find significant differences in the SMs during follow-up (Friedman test) and between medication states (Wilcoxon paired test). Also, a pre-surgery variation interval (PSVI) of reference for every participant and SM was calculated to make an individual analysis of post-surgery variation. Non-significative post-surgery or medication state-related differences in the SMs were found. Nevertheless, individually, based on PSVIs, the SMs exhibited: no variation, inconsistent or consistent variation during post-surgery follow-up in different combinations, depending on the medication state. As a group, participants did not have a shared post-surgery pattern of change in any SM. Instead, based on PSVIs, the SMs varied differently in every participant, which suggests that in Spanish-speaking PD patients, the effects of STN-DBS on speech during the first year of treatment could be highly variable.

Incidence and risk factors of institutionalisation in Parkinson's disease and atypical parkinsonism

IntroductionThe basic epidemiology of institutionalisation (the need for long-term care in an institution) in parkinsonism is unclear. We aimed to identify the incidence of, and risk factors for, institutionalisation in Parkinson's disease (PD) and atypical parkinsonism (AP). MethodsWe analysed data from a prospective population-based incidence cohort of parkinsonism in North-East Scotland (the PINE study). 556 newly-diagnosed participants (PD, N = 200; AP, N = 98; controls, N = 258), recruited between 2002 and 2009, were prospectively followed life-long with data collection on place of residence. We determined the incidence and baseline predictors of institutionalisation using Cox regression. ResultsThe median follow-up time was 9.3, 4.4, and 10.8 years in PD, AP, and controls respectively. 70 (35 %) PD, 53 (54 %) AP, and 43 (16 %) controls became institutionalised. The incidence rates of institutionalisation in PD, AP, and controls were 5.1, 20.8, and 1.8 per 100 person-years respectively. The median time to institutionalisation was 11.8 years in PD and 3.5 years in AP. Multivariable Cox regression showed that AP (HR versus PD = 3.05 [95 % CI 1.90,4.91]), increasing age (HR for 10-year increase = 1.82 [95 % CI 1.40,2.36]), poorer cognition (HR for MMSE<24 versus MMSE>27 = 2.62 [95 % CI 1.45, 4.73]), more-severe parkinsonian impairment (UPDRS part 3) (HR for 10-point increase = 1.25 [95 % CI 1.05, 1.48]) were independently associated with higher hazards of institutionalisation. Sex, co-morbidity, smoking history, and living alone were not associated with institutionalisation. ConclusionInstitutionalisation is much more frequent in parkinsonism, particularly in AP, than in controls. AP, older age, severe parkinsonian impairment, and poorer cognition were independent baseline predictors of institutionalisation.

Wearable movement-tracking data identify Parkinson's disease years before clinical diagnosis.

Parkinson's disease is a progressive neurodegenerative movement disorder with a long latent phase and currently no disease-modifying treatments. Reliable predictive biomarkers that could transform efforts to develop neuroprotective treatments remain to be identified. Using UK Biobank, we investigated the predictive value of accelerometry in identifying prodromal Parkinson's disease in the general population and compared this digital biomarker with models based on genetics, lifestyle, blood biochemistry or prodromal symptoms data. Machine learning models trained using accelerometry data achieved better test performance in distinguishing both clinically diagnosed Parkinson's disease (n = 153) (area under precision recall curve (AUPRC) 0.14 ± 0.04) and prodromal Parkinson's disease (n = 113) up to 7 years pre-diagnosis (AUPRC 0.07 ± 0.03) from the general population (n = 33,009) compared with all other modalities tested (genetics: AUPRC = 0.01 ± 0.00, P = 2.2 × 10-3; lifestyle: AUPRC = 0.03 ± 0.04, P = 2.5 × 10-3; blood biochemistry: AUPRC = 0.01 ± 0.00, P = 4.1 × 10-3; prodromal signs: AUPRC = 0.01 ± 0.00, P = 3.6 × 10-3). Accelerometry is a potentially important, low-cost screening tool for determining people at risk of developing Parkinson's disease and identifying participants for clinical trials of neuroprotective treatments.

Car accidents in drivers with Parkinson's disease or multiple sclerosis: A Swedish nationwide study.

Parkinson's disease (PD) and multiple sclerosis (MS) can impair driving. However, we lack evidence on car accidents associated with these diseases. The aims of this study were to examine what types of car accident were associated with drivers with PD and MS, compared to individuals with ulcerative colitis (UC; the comparison group), and to evaluate the occurrence of car accidents in relation to years since diagnosis. This retrospective nationwide, registry-based study included drivers involved in car accidents between 2010 and 2019, based on the Swedish Traffic Accident Data Acquisition database. Data on pre-existing diagnoses were retrieved retrospectively from the National Patient Registry. Data analyses included group comparisons, time-to-event analysis, and binary logistic regression. In total, 1491 drivers, including 199 with PD, 385 with MS, and 907 with UC, were registered to have been involved in a car accident. The mean time from diagnosis to the car accident was 5.6 years for PD, 8.0 years for MS, and 9.4 years for UC. Time to car accident since diagnosis differed significantly (p < 0.001) among groups (adjusted for age). Drivers with PD had more than twice the odds of a single-car accident than drivers with MS or UC, but no differences were observed between MS and UC. Drivers with PD were older and experienced the car accident within a shorter timeframe after disease diagnosis. Although several factors may cause a car accident, fitness to drive could be more thoroughly evaluated for patients with PD by physicians, even early after the diagnosis.

Higher Risk, Higher Reward? Self-Reported Effects of Real-World Cannabis Use in Parkinson's Disease.

BackgroundDespite limited evidence, people with Parkinson's disease (PD) use cannabis for therapeutic purposes. Given barriers to performing randomized trials, exploring real‐world experiences with cannabis in PD is valuable.ObjectiveInvestigate the frequency and magnitude of symptomatic effects reported with cannabis use in PD.MethodsAn anonymous, 15‐question, web‐based survey was deployed on Fox Insight. Cannabis product types were defined (by relative tetrahydrocannabinol [THC] and cannabidiol [CBD] content) and respondents were asked to reference product labels. Questions focused on use patterns and subjective effects on 36 predefined symptoms (rated −2‐markedly worse to +2‐markedly better).Results1,881 people with PD responded (58.5% men; mean age 66.5; 50.5% <3 years of PD). 73.0% of respondents reported medicinal use, though 30.8% did not inform their doctor. 86.7% knew their type of cannabis product: 54.6% took higher CBD, 30.2% higher THC, and 15.2% took similar amounts of THC and CBD products. Most common use was oral administration, once daily, for less than six months. Frequent improvements were reported for pain, anxiety, agitation, and sleep (>50% of respondents, mean magnitude 1.28–1.51). Dry mouth, dizziness, and cognitive changes were common adverse effects (20.9%–30.8%, mean −1.13 to −1.21). Higher THC users reported more frequent improvements in depression, anxiety, and tremor, and more frequent worsening in dry mouth and bradykinesia than other product types.ConclusionsRespondents with PD reported using more CBD products, via oral administration, with mild subjective benefits primarily for sleep, pain, and mood. Higher THC products may be higher risk/higher reward for PD‐related symptoms.

Diffusion Tensor Imaging in Parkinson's Disease and Parkinsonian Syndrome: A Systematic Review.

Diffusion tensor imaging (DTI) allows measuring fractional anisotropy and similar microstructural indices of the brain white matter. Lower than normal fractional anisotropy as well as higher than normal diffusivity is associated with loss of microstructural integrity and neurodegeneration. Previous DTI studies in Parkinson's disease (PD) have demonstrated abnormal fractional anisotropy in multiple white matter regions, particularly in the dopaminergic nuclei and dopaminergic pathways. However, DTI is not considered a diagnostic marker for the earliest Parkinson's disease since anisotropic alterations present a temporally divergent pattern during the earliest Parkinson's course. This article reviews a majority of clinically employed DTI studies in PD, and it aims to prove the utilities of DTI as a marker of diagnosing PD, correlating clinical symptomatology, tracking disease progression, and treatment effects. To address the challenge of DTI being a diagnostic marker for early PD, this article also provides a comparison of the results from a longitudinal, early stage, multicenter clinical cohort of Parkinson's research with previous publications. This review provides evidences of DTI as a promising marker for monitoring PD progression and classifying atypical PD types, and it also interprets the possible pathophysiologic processes under the complex pattern of fractional anisotropic changes in the first few years of PD. Recent technical advantages, limitations, and further research strategies of clinical DTI in PD are additionally discussed.

Health-Related Quality of Life May Predict Disease Staging in 10 Years in Parkinson Disease With Hoehn-Yahr Stage III.

Ten years ago, we examined 30 patients with Hoehn-Yahr stage III Parkinson disease (PD) to determine predictors related to falling, including walking speed, step number, and step time by using the originally designed narrowed paths. We verified the increased number of steps as greater risk for an upgrade of Hoehn-Yahr stage in a 6-year period. We further prospectively studied the same patients whether the step number on a sudden narrow path persists as a predictor of the severity of PD. The follow-up patients were divided into 2 groups-patients with and without an increase in Hoehn-Yahr stage. Variables with a significant relation to the development of Hoehn-Yahr stage on a single variable logistic regression analysis (p < 0.05) were entered into multiple logistic regression analysis, adjusting both age and disease duration. The significant variables between patients with and without an increase in Hoehn-Yahr stage were 36-item Short-Form Health Survey (SF-36) scores at 2, 4, 6, and 8 years. Multiple logistic regression analyses after adjusting both age and disease duration showed the SF-36 score at 2, 4, 6, and 8 years. The domain in social functioning significantly differed between patients with and without deterioration of Hoehn-Yahr stage in 10 years. This study demonstrated the capacity of low health-related quality of life (HR-QOL) to predict future developments of PD staging in 10 years. The lower HR-QOL, particularly in social functioning, may reflect the severity of both motor and nonmotor symptoms.

Safety and Tolerability of Cannabidiol in Parkinson Disease: An Open Label, Dose-Escalation Study.

Background: Cannabis is increasingly used in Parkinson disease (PD), despite little information regarding benefits and risks. Objectives: To investigate the safety and tolerability of a range of doses of cannabidiol (CBD), a nonintoxicating component of cannabis, and it's effect on common parkinsonian symptoms. Methods: In this open-label study Coloradans with PD, substantial rest tremor, not using cannabis received plant-derived highly purified CBD (Epidiolex®; 100 mg/mL). CBD was titrated from 5 to 20-25 mg/kg/day and maintained for 10-15 days. Results: Fifteen participants enrolled, two were screen failures. All 13 participants (10 male), mean (SD) age 68.15 (6.05), with 6.1 (4.0) years of PD, reported adverse events, including diarrhea (85%), somnolence (69%), fatigue (62%), weight gain (31%), dizziness (23%), abdominal pain (23%), and headache, weight loss, nausea, anorexia, and increased appetite (each 5%). Adverse events were mostly mild; none serious. Elevated liver enzymes, mostly a cholestatic pattern, occurred in five (38.5%) participants on 20-25 mg/kg/day, only one symptomatic. Three (23%) dropped out due to intolerance. Ten (eight male) that completed the study had improvement in total and motor Movement Disorder Society Unified Parkinson Disease Rating Scale scores of 7.70 (9.39, mean decrease 17.8%, p=0.012) and 6.10 (6.64, mean decrease 24.7%, p=0.004), respectively. Nighttime sleep and emotional/behavioral dyscontrol scores also improved significantly. Conclusions: CBD, in the form of Epidiolex, may be efficacious in PD, but the relatively high dose used in this study was associated with liver enzyme elevations. Randomized controlled trials are needed to investigate various forms of cannabis in PD.

Prognostic factors of Rapid symptoms progression in patients with newly diagnosed parkinson’s disease

Tracking symptoms progression in the early stages of Parkinson's disease (PD) is a laborious endeavor as the disease can be expressed with vastly different phenotypes, forcing clinicians to follow a multi-parametric approach in patient evaluation, looking for not only motor symptomatology but also non-motor complications, including cognitive decline, sleep problems and mood disturbances. Being neurodegenerative in nature, PD is expected to inflict a continuous degradation in patients' condition over time. The rate of symptoms progression, however, is found to be even more chaotic than the vastly different phenotypes that can be expressed in the initial stages of PD. In this work, an analysis of baseline PD characteristics is performed using machine learning techniques, to identify prognostic factors for early rapid progression of PD symptoms. Using open data from the Parkinson's Progression Markers Initiative (PPMI) study, an extensive set of baseline patient evaluation outcomes is examined to isolate determinants of rapid progression within the first two and four years of PD. The rate of symptoms progression is estimated by tracking the change of the Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS) total score over the corresponding follow-up period. Patients are ranked according to their progression rates and those who expressed the highest rates of MDS-UPDRS total score increase per year of follow-up period are assigned into the rapid progression class, using 5- and 10-quantiles partition. Classification performance against the rapid progression class was evaluated in a per quantile partition analysis scheme and in quantile-independent approach, respectively. The results shown a more accurate patient discrimination with quantile partitioning, however, a much more compact subset of baseline factors is extracted in the latter, making a more suitable for actual interventions in practice. Classification accuracy improved in all cases when using the longer 4-year follow-up period to estimate PD progression, suggesting that a prolonged patient evaluation can provide better outcomes in identifying rapid progression phenotype. Non-motor symptoms are found to be the main determinants of rapid symptoms progression in both follow-up periods, with autonomic dysfunction, mood impairment, anxiety, REM sleep behavior disorders, cognitive decline and memory impairment being alarming signs at baseline evaluation, along with rigidity symptoms, certain laboratory blood test results and genetic mutations.

Longitudinal Change of DAT SPECT in Parkinson's Disease and Multiple System Atrophy.

Both Parkinson's disease (PD) and multiple system atrophy (MSA) are neurodegenerative disorder affecting striatonigral system. Although various lines of evidence demonstrate that dopaminergic neuron degeneration emerges before the onset of motor symptoms in PD, preclinical/prodromal progression of neurodegeneration is far less understood in MSA. The aim of this study was to clarify the difference in the progression of dopaminergic degeneration in MSA and PD using dopamine transporter single-photon emission computed tomography (DAT SPECT). We analyzed longitudinal data of the specific binding ratio (SBR), a measure of striatal radiotracer uptake, in DAT SPECT from 7 patients with MSA-C, 5 patients with MSA-P, and 18 patients with PD. We performed 2.7±0.7 scans with an interval of 9.85±6.00 months for MSA and 2 scans with an interval of 2.16±0.16 years for PD. The rate of SBR decline was faster in both subtypes of MSA compared with PD, but the value was similar between MSA-P and MSA-C. The estimated SBR at the onset of initial motor symptoms was lower in PD and MSA-P than in MSA-C, especially in the predominantly affected side. SBR of the predominantly affected side starts to decrease before the onset of motor symptoms in PD and MSA-P, whereas the initiation of SBR decline is around the onset in MSA-C individuals. The decline of SBR in the less affected side was not clearly shown before the onset in MSA-P or MSA-C. Our results suggest that the SBR in DAT SPECT analysis is an important pathophysiological marker reflecting the disease- and subtype-specific progression of dopaminergic degeneration in MSA and PD.

Sex Differences in Cognitive Changes in De Novo Parkinson's Disease.

To evaluate the sex differences in cognitive course over 4 years in Parkinson's disease (PD) patients with and without mild cognitive impairment (MCI) compared to controls. Four-year longitudinal cognitive scores of 257 cognitively intact PD, 167 PD-MCI, and 140 controls from the Parkinson's Progression Markers Initiative were included. Longitudinal scores of men and women, and PD with and without MCI were compared. Women had better verbal memory, men had better visuospatial function. There was no interaction between sex, diagnostic group, and/or time (4-year follow-up period). Sex differences in cognitive course in de novo PD are similar to healthy aging. Cognitive decline rates in PD with and without MCI are similar for the first 4 years of PD.

Increased bilirubin levels in Parkinson's disease

IntroductionOxidative stress plays a key role in Parkinson's disease (PD) etiopathology. Heme oxygenase, an important enzyme which regulates oxidative balance, converts heme molecules into carbon monoxide, iron and biliverdin/bilirubin. The role of bilirubin has not been fully studied in PD, showing controversial results over the last few decades. Our aim was to investigate the relationship between bilirubin levels and PD. Secondly, we sought to evaluate the link between bilirubin concentration with PD progression, severity and dopaminergic treatment. MethodsWe included 420 PD patients (56% males, mean age: 64 ± 12 years) and 435 healthy controls (47% males, mean age: 58 ± 17 years). Bilirubin levels in both groups were compared using linear regression and multivariate analysis adjusted according to age and sex. Secondly, a case study with the PD cohort was carried out and bilirubin levels were correlated with current treatment, duration and severity of disease. ResultsBilirubin levels were significantly higher in PD patients than in controls (PD: 0.56 ± 0.26 mg/dl, controls: 0.45 ± 0.22 mg/dl; p < 0.001). In PD patients, we demonstrated a negative correlation between bilirubin levels and disease duration (p < 0.05). Higher bilirubin concentrations were identified in PD patients with Hoehn & Yahr stage ≤3. No relationship between bilirubin and treatment was found in PD patients. ConclusionsIncreased bilirubin levels are particularly related to the first years of PD. Overexpression of oxidative enzymes could play an important role in PD etiology, leading to higher bilirubin levels in the early stages of PD.

Baseline predictors for progression 4 years after Parkinson's disease diagnosis in the De Novo Parkinson Cohort (DeNoPa).

The objectives of this study were to investigate (1) the annual rate of progression of motor and cognitive symptoms and (2) baseline predictors of different modalities for this progression in early Parkinson's disease (PD) when compared with healthy controls. A total of 135 de novo PD and 109 healthy controls (of the De Novo Parkinson cohort) were investigated at baseline and after 24 and 48 months. To delineate motor progression and cognitive decline, the Movement Disorder Society-Unified Parkinson's Disease Rating Scale part III (MDS-UPDRS III) and the Mini-Mental Status Examination (MMSE) were selected. Baseline variables used to predict progression included sociodemographic factors, comorbidities, motor/nonmotor symptoms, polysomnography, MRI, and laboratory biomarkers in serum and CSF. Symptoms worsened over 4 years in PD with an annual change of 1.8 points on the MDS-UPDRS III and 0.2 points on the MMSE. Baseline predictors of worse progression of motor symptoms in PD included male sex, orthostatic blood pressure drop, diagnosis of coronary artery disease, arterial hypertension, elevated serum uric acid, and CSF neurofilament light chain. Predictors of cognitive decline in PD included previous heavy alcohol abuse, current diagnoses of diabetes mellitus, arterial hypertension, elevated periodic limb movement index during sleep, decreased hippocampal volume by MRI, higher baseline levels of uric acid, C-reactive protein, high density lipoprotein (HDL) cholesterol, and glucose levels. Cardiovascular risk factors, deregulated blood glucose, uric acid metabolism, and inflammation were identified as risk markers for faster disease progression. Our panel of risk parameters needs validation during our continuing follow-up and also in independent patient cohorts. © 2018 International Parkinson and Movement Disorder Society.

Gray/White Matter Contrast in Parkinson's Disease.

Gray/white matter contrast (GWC) decreases with aging and has been found to be a useful MRI biomarker in Alzheimer’s disease (AD), but its utility in Parkinson’s disease (PD) patients has not been investigated. The aims of the study were to test whether GWC is sensitive to aging changes in PD patients, if PD patients differ from healthy controls (HCs) in GWC, and whether the use of GWC data would improve the sensitivity of cortical thickness analyses to differentiate PD patients from controls. Using T1-weighted structural images, we obtained individual cortical thickness and GWC values from a sample of 90 PD patients and 27 controls. Images were processed with the automated FreeSurfer stream. GWC was computed by dividing the white matter (WM) by the gray matter (GM) values and projecting the ratios onto a common surface. The sample characteristics were: 52 patients and 14 controls were males; mean age of 64.4 ± 10.6 years in PD and 64.7 ± 8.6 years in controls; 8.0 ± 5.6 years of disease evolution; 15.6 ± 9.8 UPDRS; and a range of 1.5–3 in Hoehn and Yahr (H&Y) stage. In both PD and controls we observed significant correlations between GWC and age involving almost the entire cortex. When applying a stringent cluster-forming threshold of p < 0.0001, the correlation between GWC and age also involved the entire cortex in the PD group; in the control group, the correlation was found in the parahippocampal gyrus and widespread frontal and parietal areas. The GWC of PD patients did not differ from controls’, whereas cortical thickness analyses showed thinning in temporal and parietal cortices in the PD group. Cortical thinning remained unchanged after adjusting for GWC. GWC is a very sensitive measure for detecting aging effects, but did not provide additional information over other parameters of atrophy in PD.

Parkinson disease in 2017: Changing views after 200 years of Parkinson disease.

200 years after James Parkinson's An Essay on the Shaking Palsy, 2017 has seen important advances that are driving a shift towards a broader and more holistic understanding of Parkinson disease aetiology and progression. This shift might finally pave the way to entirely novel and more effective prevention and management strategies.

Combined cardiovascular and sweating autonomic testing to differentiate multiple system atrophy from Parkinson's disease

It can be difficult to differentiate multiple system atrophy (MSA) with predominant parkinsonism (MSA-P), a very disabling but rare disease, from Parkinson's disease (PD). Autonomic dysfunction, particularly cardiovascular autonomic neuropathy (CAN), is classically more pronounced in MSA. We investigated whether testing for CAN combined with sweat function assessment was helpful to differentiate patients with MSA from those with PD. In this retrospective study, 62 patients with MSA-P and 96 with PD, comparable in age, BMI and sex ratio with disease duration of 4.3±2.5 years for MSA vs. 11.5±6 years for PD (P<0.0001) were tested for CAN using heart rate changes with deep breathing (HR-DB), stand test (HR-ST) and Valsalva maneuver (HR-VM) and blood pressure changes during stand test (BPs-ST and BPd-ST), Valsalva maneuver (BPs-VM-II and IV), hand grip (BPd-HG) and the total "Ewing" score tests (EwS), and for sweating function using electrochemical skin conductance for hands and feet (HESC and FESC). In MSA-P abnormal EwS, HR-DB, BP-ST and ESC were more frequent compared to PD, despite longer disease duration for PD. Using a model adjusted for sex, BMI, age, disease duration and treatment, the Odds Ratio for having MSA-P vs. PD based on EwS was 2.71, on HR-DB 2.36, on BP-ST 2.87 and on ESC 4.94 while it was 11.68 (2.17-62.79) for the combination of the three last tests. Assessment of HR-DB, BP-ST and ESC, that is, rapid and non-invasive could be helpful in combination as a first simple screening to differentiate MSA-P from PD.

199years of Parkinson disease - what have we learned and what is the path to the future?

In 1817, 199years ago, James Parkinson described for the first time in 'An Essay on the Shaking Palsy' the symptoms of the disease that was later named Parkinson Disease. The current special issue of the Journal of Neurochemistry is dedicated to the discoveries and advances that have been made since, leading to a better understanding of this neurodegenerative disease and of potential treatment options. Reputed researchers cover various aspects from neuroanatomical basics; genetic and molecular risk factors such as LRRK2; the available cell and animal models that mimic crucial features of the pathophysiology; to clinical aspects and treatments, including deep brain stimulation. This article is part of a special issue on Parkinson disease.

Survival in synucleinopathies: A prospective cohort study.

Parkinson disease (PD), multiple system atrophy (MSA), and pure autonomic failure (PAF) involve cytoplasmic deposition of α-synuclein and are considered to be synucleinopathies. Approximately 40% of patients with PD, most patients with MSA, and all patients with PAF have neurogenic orthostatic hypotension (OH). This study compared long-term survival in these synucleinopathies. In this prospective cohort study, survival data were obtained for 97.6% of 206 referred patients evaluated between 1994 and 2014 (47 PD + OH, 54 PD no OH, 15 cerebellar MSA [MSA-C], 57 parkinsonian MSA [MSA-P], 28 PAF). Individual diagnoses were confirmed by clinical criteria and results of pharmacologic, neurochemical, and neuroimaging tests of sympathetic noradrenergic innervation. The Cox proportional hazard model was used to calculate hazard ratios (HRs) from symptom onset and from time of evaluation to death. Patients with MSA-C or MSA-P had shorter survival from symptom onset than did patients with PD + OH (age- and sex-adjusted HR = 6.1, 5.6; p < 0.0001 each), PAF (HR = 10.8, 9.9; p < 0.0001 each) or PD no OH (HR = 14.9, 13.6; p < 0.0001 each). Among parkinsonian patients who died, median times from motor onset to death were 7.5 years in MSA-P, 11.6 years in PD + OH, and 15.8 years in PD no OH. Probabilities of survival for 10 years from onset of relevant symptoms were 0.39 in MSA-C, 0.33 in MSA-P, 0.74 in PD + OH, 0.87 in PAF, and 0.93 in PD no OH. In synucleinopathies, survival depends on the particular disease, with the risk of death greater in MSA-P than in PD + OH and in PD + OH than in PD no OH.

Prostate volume and prostate-specific antigen in men with Parkinson's disease are not different compared to age-matched control group: A prospective, case-controlled multicenter study.

PurposePatients with Parkinson's disease (PD) suffer from gait disturbance as well as lower urinary tract symptoms (LUTS). There have been no reports that evaluated the prostate volume (PV) and prostate-specific antigen (PSA) of patients with PD. In this study, we prospectively evaluated PV and PSA in men with PD.MethodsFrom May 2009 to January 2012, 60 PD patients and 60 age-matched non-PD patients with LUTS enrolled at three centers in Korea. All participants (PD as well as non-PD patients) had LUTS at presentation. We measured the PV using a transrectal ultrasonography and checked the serum PSA level in patients with PD and their non-PD counterparts, who served as the age-matched control group, and then compared the data of both groups. Patients with abnormal digital rectal examination results and/or serum PSA levels >4.0 ng/mL underwent prostate biopsy.ResultsThe mean patient age was 71.37 ± 7.36 years and 70.85 ± 6.31 years for PD and non-PD patients (P = 0.651), respectively. There were no significant statistical differences between the two groups in terms of total PV (28.56 ± 14.59 in PD vs. 29.21 ± 10.41 in non-PD, P = 0.727), transition zone PV (12.72 ± 8.76 vs. 12.73 ± 6.68, P = 0.993), and total serum PSA (1.88 ± 2.80 vs. 2.01 ± 2.02, P = 0.759). In the PD group, seven patients had PSA levels >4.0 ng/mL (range, 4.12–11.18 ng/mL). Among these patients, prostate cancer (PC) was detected in two patients. In the non-PD group, PSA levels >4.0 ng/mL were detected in nine patients (range, 4.16–8.28 ng/mL). Among these patients, PC was detected in three patients. The PC occurrence rate was similar in both groups.ConclusionsOur data show that a neurologic lesion causing PD does not affect PV and PSA. As both groups have a similar PC occurrence rate, it is clear that prostate evaluation is necessary for PD as well as non-PD patients.

Surviving 10 years with deep brain stimulation for Parkinson's disease--a follow-up of 79 patients.

Deep brain stimulation (DBS) for severe Parkinson's disease (PD) outperforms the best medical treatment in controlling motor symptoms and improving quality of life. Nevertheless disease progression cannot be controlled, and the development of dementia over time is nearly inevitable, often resulting in nursing home placement. Ten-year survival, development of hallucinations, dementia and nursing home placement were examined and adverse events were assessed. Patient files were scrutinized from baseline up to 10 years of treatment or death on all 79 PD patients treated with DBS of the subthalamic nucleus from 1998 to 2003 at Aarhus University Hospital. Twenty-four patients died during the follow-up period of 10 years. Age above 60 years at surgery increased mortality 2.3-fold (P = 0.04). Of the 55 surviving patients 29 (53%) were demented and 19 (35%) were in nursing homes. Average time from operation to dementia was 5.6 ± 2.9 years. Hallucinations and nursing home placement were associated with increased mortality. Survival of 70% after a mean of 25 years of PD including 10 years with DBS illustrates that this is a selected group of PD patients. The prevalence of dementia steadily increased after surgery as expected from disease progression and can be an early event. Compared with the few similar long-term studies, the present study presents a larger cohort followed at the same DBS center for a longer period of time and none was lost to follow-up, making conclusions more valid. The present findings are of significant prognostic help for the patient, caregiver and physician when treatment with DBS has to be decided.