Fall frequency and risk assessment in early Parkinson's disease

BackgroundWe sought to define the frequency of falls in early PD and assess potential risk factors for falls in this population.MethodsWe analyzed the data from two randomized, placebo controlled trials (NET-PD FS1 and FS-TOO) of 413 individuals with early PD over 18 months of follow-up in FS1 and 12 months in FS-TOO. Falls were defined as any report of falls on the UPDRS or the adverse event log. We assessed the frequency of falls overall and by age. The relationship between prespecified fall risk markers and the probability of falling was assessed using logistic and multiple logistic regression. A hurdle Poisson model was used to jointly model the probability of remaining fall-free and the number of falls.ResultsDuring the follow-up period, 23% of participants fell, and 11% were habitual fallers. In a multiple logistic regression model, age, baseline UPDRS Falling score, and baseline PDQ-39 scores were associated with subsequent fall risk (p < 0.001). Similarly, in a hurdle Poisson regression model, age, baseline UPDRS falling item, and baseline PDQ-39 were all significantly related to the probability of falling, but only UPDRS falling >0 was associated with the number of falls.ConclusionFalls are frequent and are associated with impaired quality of life, even in early PD. Current standard rating scales do not sufficiently explain future fall risk in the absence of a prior fall history. New assessment methods for falls and postural instability are required to better evaluate this important problem in clinical trials and clinical practice.     

The pattern of attentional deficits in Parkinson's disease

BackgroundCognitive impairment without dementia is frequent in Parkinson's disease. It often presents as a dysexecutive syndrome with deficient attentional resource allocation. The nature of attention deficits in Parkinson's disease has rarely been investigated with robust, theory-based tasks. The main objective of the present study was to investigate attention disorders in Parkinson's disease patients by applying a paradigm based on a model of attention. We also sought to identify the main demographic and clinical characteristics associated with attention deficits in Parkinson's disease.MethodsEighty non-demented Parkinson's disease patients and 60 healthy controls participated in the study. Attention was assessed in a computer-controlled reaction time paradigm. The test session comprised a simple reaction time task and four choice reaction time tasks: a go/no-go task, a one-dimension, focused-attention task, a two-dimension, divided-attention task and an alternating task. Performance was assessed by composite measures: (i) cognitive reaction time, corresponding to the difference between the simple reaction time and the choice reaction time in the given condition, and (ii) reaction time variability, corresponding to the sum of the coefficients of variance of the reaction times. Accuracy was also considered.ResultsApart from an overall slowing and greater reaction time variability, Parkinson's disease patients were only significantly impaired in the alternating condition. This set-shifting impairment was associated with their performance in the go/no-go and divided-attention conditions.ConclusionOur systematic assessment of the different attentional subcomponents revealed that mental flexibility is particularly impaired in non-demented Parkinson's disease patients.     

The incidence and risk factors of falls in Parkinson disease: prospective study

Background and purposeAlthough Parkinson disease (PD) patients suffer falls more frequently than other old people, only a few studies have focused on identifying the specific risk factors for falls in PD patients. The aim of this study was to assess the incidence and risk factors of falls in a prospective study in comparison to a control group.Material and methodsOne hundred patients with PD were recruited to the study along with 55 gender- and age-matched healthy controls. Both groups were examined twice; the second examination took place one year after the first one. Examination of the PD group included: medical history including falls, neurological examination, assessment of the severity of parkinsonism [Unified Parkinson's Disease Rating Scale (UPDRS), Schwab and England scale (S&E), Hoehn and Yahr scale (H&Y), Mini-Mental State Examination (MMSE)], Hamilton scale and quality of life scales (SF-36, EQ-5D) and Freezing of Gait Questionnaire (FOG-Q). In both groups falls were recorded over the 12 months. Frequent fallers are defined as having more than 3 falls a year.ResultsOver the year falls occurred in 54% of PD patients and 18% of controls. In a prospective study 28% of PD patients fell more frequently than in retrospective analysis. Frequent fallers were found in 20% of patients and in 7% of controls. Fallers showed higher scores in UPDRS, H&Y, S&E, MMSE, and Hamilton scale than non-fallers. Independent risk factors for falls were: age, previously reported falls and higher score in the FOG-Q.ConclusionsFalls in PD patients occurred three times more frequently than in controls. Independent risk factors for falls were: high score in FOG-Q, older age and presence of falls in medical history.     

Gait dynamics in Parkinson's disease: relationship to Parkinsonian features,falls and response to levodopa

OBJECTIVES: Patients with Parkinson's disease (PD) have an increased risk of falling that has yet to be fully explained. To better understand the gait disturbance in PD and the factors that contribute to falls, we quantitatively evaluated: (1) the relationship between gait variability (a marker of fall risk in other populations), fall history, and other parkinsonian features, and (2) the effects of levodopa on these relationships. METHODS: The average stride time and stride-to-stride variability were measured using force-sensitive insoles during comfortable walking. Fall frequency, motor control, function, and mental health were measured using the Unified Parkinson's Disease Rating Scale (UPDRS), the Mini-Mental State Exam (MMSE), and the timed motor tests of the Core Assessment Program for Intracerebral Transplantations (CAPIT) in 32 subjects with idiopathic PD, in an "off" (unmedicated) state and again in an "on" (medicated) state. RESULTS: Average stride time was not associated with any UPDRS or CAPIT measure and was similar in fallers and non-fallers in "off" and "on" states (p>0.27). Stride time variability was significantly associated with fall frequency as well as with total scores on the CAPIT and the UPDRS, ADL abilities, and motor function. Stride time variability and falls were not related to tremor, rigidity or bradykinesia in the "off" state. 41% of subjects reported one or more falls. Stride time variability was 8.8+/-7.9% in fallers and 4.2+/-1.3% in non-fallers (p<0.009). Stride time variability significantly improved in response to levodopa, both in fallers and non-fallers, but remained increased in fallers (vs. non-fallers). CONCLUSIONS: The patho-physiology responsible for impaired stride-to-stride regulation of gait timing is apparently independent of other cardinal features of PD, i.e., tremor, rigidity, or bradykinesia, but is responsive to levodopa. Stride-to-stride variability is especially impaired among PD subjects with a history of falls, suggesting, for the first time, the possibility of exaggerated impairment of internal clock function in PD fallers.     

Motor dual-tasking deficits predict falls in Parkinson's disease: A prospective study

IntroductionFalls severely affect lives of Parkinson's disease (PD) patients. Cognitive impairment including dual-tasking deficits contribute to fall risk in PD. However, types of dual-tasking deficits preceding falls in PD are still unclear.MethodsWalking velocities during box-checking and subtracting serial 7s were assessed twice a year in 40 PD patients over 2.8 ± 1.0 years. Fourteen patients reported a fall within this period (4 excluded fallers already reported falls at baseline). Their dual-task costs (DTC; mean ± standard deviation) 4.2 ± 2.2 months before the first fall were compared with 22 patients never reporting falls. ROC analyses and logistic regressions accounting for DTC, UPDRS-III and disease duration were used for faller classification and prediction.ResultsOnly walking/box-checking predicted fallers. Fallers showed higher DTC for walking while box-checking, p = 0.029, but not for box-checking while walking, p = 0.178 (combined motor DTC, p = 0.022), than non-fallers. Combined motor DTC classified fallers and non-fallers (area under curve: 0.75; 95% confidence interval, CI: 0.60–0.91) with 71.4% sensitivity (95%CI: 41.9%–91.6%) and 77.3% specificity (54.6%–92.2%), and significantly predicted future fallers (p = 0.023). Here, 20.4%-points higher combined motor DTC (i.e. the mean difference between fallers and non-fallers) was associated with a 2.6 (1.1–6.0) times higher odds to be a future faller.ConclusionMotor dual-tasking is a potentially valuable predictor of falls in PD, suggesting that avoiding dual task situations as well as specific motor dual-task training might help to prevent falls in PD. These findings and their therapeutic relevance need to be further validated in PD patients without fall history, in early PD stages, and with various motor-motor dual-task challenges.     

Mild cognitive impairment is common in Parkinson's disease patients with normal Mini-Mental State Examination (MMSE) scores

PurposeCognitive impairment occurs in the majority of Parkinson's disease (PD) patients, but little is known about detection of mild cognitive impairment (MCI) in this population. We report on the frequency and characteristics of cognitive deficits in PD patients with intact global cognition based on Mini-Mental State Examination (MMSE) performance.MethodsOne hundred and six PD patients with normal age- and education-adjusted MMSE scores (mean [SD] score = 29.1 [1.1]) were administered standardized neuropsychological tests assessing memory, executive function, and attention. Impairment on a cognitive domain was a low score (i.e., ≥1.5 SD below the published normative mean) on at least two measures or tests (for memory and executive abilities) or a single measure (for attention).ResultsMild cognitive impairment was found in 29.2% of PD patients, with 17.9% demonstrating single domain and 11.3% multiple domain impairment. Memory and attention impairment were most common (15.1% and 17.0%, respectively), followed by executive impairment (8.5%). Depending on the measure of disease severity chosen, increasing age and disease severity, anti-anxiety medication use, and a suggestion for increasing severity of daytime sleepiness were independent predictors of cognitive impairment.ConclusionsCognitive deficits are common in PD patients with “normal” cognition based on MMSE performance, suggesting that MCI is under-recognized in clinical practice due to routine use of insensitive screening instruments. In contrast with some previous reports, early memory impairment may be as common as either executive or attentional deficits in PD. In addition, psychiatric medication use and daytime sleepiness may be reversible or treatable contributors to cognitive impairment.     

The potential neuromodulatory impact of subthalamic nucleus deep brain stimulation on Parkinson’s disease progression

IntroductionSTN-DBS has been claimed to change progression symptoms in animal models of PD, but information is lacking about the possible neuromodulatory role of STN-DBS in humans. The aim of this prospective controlled study was to evaluate the long-term impact of STN-DBS on motor disabilities and cognitive impairment in PD patients in comparison to Best-Medical-Therapy (BMT) and Long-term-Post-Operative (POP) groups.Material and methodsPatients were divided into 3 groups: the BMT-group consisted of 20 patients treated only with pharmacotherapy, the DBS-group consisted of 20 PD patients who underwent bilateral STN-DBS (examined pre- and postoperatively) and the POP-group consisted of 14 long-term postoperative patients in median 30 month-time after DBS. UPDRS III scale was measured during 3 visits in 9 ± 2 months periods (V1, V2, V3) in total-OFF phase. Cognitive assessment was performed during each visit in total-ON phase.ResultsThe comparable UPDRS III OFF gain was observed in both BMT-group and POP-group evaluations (p < 0.05). UPDRS III OFF results in DBS-group revealed significant UPDRS III OFF increase in ΔV2-V1 assessment (p < 0.05) with no significant UPDRS III OFF alteration in ΔV3-V2 DBS-group evaluation (p > 0.05). Cognitive assessment revealed significant alterations between DBS-group and BMT-group in working memory, executive functions and learning abilities (p < 0.05).ConclusionsThe impact of STN-DBS on UPDRS III OFF score and cognitive alterations suggest its neuromodulatory role, mainly during the first 9–18 months after surgery.     

Causes and consequences of falls in Parkinson disease patients in a prospective study

Background and purposeFalls are common events in Parkinson disease (PD) but only a few prospective studies have focused on causes and consequences of falls in PD patients. The aim of the study was prospective analysis of direct causes and consequences of falls in PD patients in comparison to the control group.Material and methodsOne hundred PD patients and 55 age-matched controls were enrolled in the study. The diagnostic workup in all patients included neurological examination, Unified Parkinson's Disease Rating Scale, magnetic resonance imaging, electroencephalography, ultrasonography, otolaryngological, ophthalmological and autonomic function examination. During 12 months of follow-up, falls were registered in both groups, direct causes were classified according to the St. Louis and Olanow classification, and consequences were established.ResultsFalls occurred in 54% of PD patients and in 18% of control subjects. Analysis of direct causes of falls revealed that sudden falls were the most common (31%), followed by episodes of freezing and festination (19.6%), neurological and sensory disturbances (mostly vertigo) (12%), environmental factors (12%), postural instability (11%), orthostatic hypotension (4%), and severe dyskinesia (3.6%); 6.19% of falls were unclassified; 22% of patients had the same etiology of subsequent falls. In PD patients, intrinsic factors were dominant, whereas in the control group intrinsic and extrinsic factors occurred with the same frequency. Every third fall intensified fear of walking. 34% of falls caused injuries; among them bruises of body parts other than the head were most frequent.ConclusionsIntrinsic factors are the most common causes of falls in PD. Every third fall intensifies fear of walking and causes injuries.     

Computerized testing in Parkinson’s disease: Performance deficits in relation to standard clinical measures

Objective: This study assessed deficits associated with Parkinson’s disease (PD) at two time points separated by 1 year using a computerized neuropsychological battery, and determined interrelationships with conventional clinical measures of cognitive functioning (Montreal Cognitive Assessment; MoCA) and motor impairment (Part III of the Unified PD Rating Scale; UPDRS), as well as other factors known to influence cognitive dysfunction in PD. Method: Participants included 37 with PD and 47 controls. Linear mixed-effects models were developed for each computerized task. Results: Results showed that the PD group performed worse than controls on all of the computerized tasks at both time points. In contrast, MoCA scores differed between PD and controls only at follow-up. However, the MoCA detected decline over the year in the PD group, whereas only one of the computerized tasks did. In both groups, higher MoCA scores predicted better performance on some but not all of the computerized tasks. Surprisingly, UPDRS-rated motor impairment did not predict performance on any of the computerized tasks, and aside from older age, which predicted poorer performance on all but one task, the other factors—education, affective and impulsivecompulsive symptoms, sleep quality, dopaminergic medication—generally had no relationship with performance on the computerized tasks. Conclusions: The presence of performance deficits for all of the computerized tasks in the PD group compared to controls, but not for the MoCA at initial testing, indicates that the computerized battery was better able to detect deficits. However, in contrast to the MoCA, the current results call into question the suitability of the computerized battery as measured here for tracking decline.     

Neural correlates of attentional deficits in Parkinson's disease patients with mild cognitive impairment

IntroductionDeficits in attentional processing observed in Parkinson's disease (PD) patients with mild cognitive impairment (MCI) increase risk of PD dementia. However, the neural basis of these attentional deficits are presently unknown. The present study aimed to explore the neural correlates of attention dysfunction in PD-MCI using the Attention Network Test (ANT) and functional Magnetic Resonance Imaging (fMRI).MethodFifteen (15) PD-MCI patients, 26 PD patients without MCI (PD-NC) and 22 healthy controls (HC) were scanned (3T Siemens PRISMA) whilst performing the ANT. Reaction time, accuracy and fMRI BOLD activation were compared between groups for the three attentional task components of 1) alerting, 2) orienting, and 3) executive control.ResultsPD-MCI patients showed an overall slower reaction time compared to PD-NC and HC, and showed less interference of reaction time in the orienting effect than HC. fMRI data demonstrated greater activation in the bilateral cerebellum crus 1 during the alerting attention condition in both PD-MCI and PD-NC compared to HC. However, activation was supressed in the left postcentral gyrus in PD-MCI compared to PD-NC and HC.DiscussionAlterations in the alerting attention functional network despite intact task performance in PD-MCI suggests that functional brain changes may precede cognitive changes in the attention domain. Furthermore, increased activation in the cerebellum may reflect an attentional compensatory mechanism unique to the PD pathology. Taken together, the findings suggest that PD has a complex effect on attentional ability that can, at least in part, be elucidated using functional neuroimaging.     

Reduced muscle power is associated with slower walking velocity and falls in people with Parkinson's disease

PurposeMuscle strength (force) and power (force × velocity) are reduced in Parkinson's disease (PD). Reduced muscle power is associated with slower walking velocity and falls in the older population, but these associations in people with PD have not previously been investigated. This study investigated the relationships between leg extensor muscle power and strength with walking speed and past falls in people with PD.Participants and MethodsForty people with mild to moderate PD were assessed. Walking velocity was measured over 10 m and the number of falls the participant reported having in the past 12 months was recorded. Leg extensor muscle power and strength were measured using a Keiser leg press machine.ResultsMuscle power explained more than half of the variance (R² = 0.54) in walking velocity and remained significantly (p < 0.05) associated with walking velocity in models which included Unified Parkinson's Disease Rating Scale (UPDRS) motor scores. Participants with low muscle power were 6 times more likely to report multiple falls in the past year than those with high muscle power (OR = 6.0, 95% CI 1.1 to 33.3), though this association between falls and power was no longer significant in models which included UPDRS motor scores (p = 0.09).ConclusionMuscle power is a significant determinant of walking velocity in PD even after adjusting for UPDRS motor score. Muscle power training warrants investigation in people with PD.     

Art therapy for Parkinson's disease

ObjectiveTo explore the potential rehabilitative effect of art therapy and its underlying mechanisms in Parkinson's disease (PD).MethodsObservational study of eighteen patients with PD, followed in a prospective, open-label, exploratory trial. Before and after twenty sessions of art therapy, PD patients were assessed with the UPDRS, Pegboard Test, Timed Up and Go Test (TUG), Beck Depression Inventory (BDI), Modified Fatigue Impact Scale and PROMIS-Self-Efficacy, Montreal Cognitive Assessment, Rey-Osterrieth Complex Figure Test (RCFT), Benton Visual Recognition Test (BVRT), Navon Test, Visual Search, and Stop Signal Task. Eye movements were recorded during the BVRT. Resting-state functional MRI (rs-fMRI) was also performed to assess functional connectivity (FC) changes within the dorsal attention (DAN), executive control (ECN), fronto-occipital (FOC), salience (SAL), primary and secondary visual (V1, V2) brain networks. We also tested fourteen age-matched healthy controls at baseline.ResultsAt baseline, PD patients showed abnormal visual-cognitive functions and eye movements. Analyses of rs-fMRI showed increased functional connectivity within DAN and ECN in patients compared to controls. Following art therapy, performance improved on Navon test, eye tracking, and UPDRS scores. Rs-fMRI analysis revealed significantly increased FC levels in brain regions within V1 and V2 networks.InterpretationArt therapy improves overall visual-cognitive skills and visual exploration strategies as well as general motor function in patients with PD. The changes in brain connectivity highlight a functional reorganization of visual networks.     

Depressive symptoms in Parkinson's disease

ObjectiveWe aimed to investigate the relationship between the presence and severity of depression and the degree of motor and functional disability in Parkinson's disease (PD).MethodsOne hundred twenty-two outpatients with PD were enrolled in a neurology department: 65 satisfied the Diagnostic and Statistical Manual of Mental Disorder, Fourth Edition criteria for major depression, and 57 did not (PD-C). Depressive symptoms were assessed by means of the Hamilton Rating Scale for Depression (HRSD), and the PD severity was assessed according to the Hoehn and Yahr System. Activities of daily living and motor symptoms were measured by the Unified PD Rating Scale (UPDRS), parts II and III.ResultsTwenty-nine patients had a mild depression (HRSD total score ranging between 8 and 17), 30 had a moderate depression (HRSD total score ranging between 18 and 24), and 6 had a severe depression (HRSD total score, ≥25). By comparing the 3 groups of patients, it emerged that those with a severe depression showed significantly higher scores at the UPDRS II, UPDRS III, and HY scales than did PD-C or patients with a mild depression. Moreover, patients with a moderate depression scored significantly higher on the UPDRS II, UPDRS III, and HY scales than did PD-C or those with a mild depression.ConclusionsOur findings suggest that depression and motor symptoms/well-being are highly intertwined in patients with PD.     

Fear of falling is independently associated with recurrent falls in patients with Parkinson’s disease: a 1-year prospective study

The present study aimed to examine whether fear of falling (FoF) could independently predict recurrent falls in people with Parkinson’s disease (PD). Seventy patients with PD completed the study. Thirty-two patients had fallen at least once in the previous 12 months. Most of patients with PD had moderate disease severity (Hoehn and Yahr stage III). FoF was assessed by the activities-specific balance confidence (ABC) scale. PD specific motor and balance impairment was determined by Unified PD rating scale (UPDRS). Functional mobility was measured by timed-up-and-go (TUG) test. All patients were followed for 12 months by phone interview to register monthly fall incidence. Results of stepwise discriminant analysis showed that after adjusting for the fall history (F = 32.57, P < 0.001) and UPDRS motor score (F = 25.23, P < 0.001), ABC score (F = 18.84, P < 0.001) remained as a significant predictor of recurrent falls. We further established that a cut-off ABC score of 69 (i.e. 0–100, 0 indicates no confidence and 100 indicates full confidence) demonstrated the best sensitivity (93%) in predicting future falls in PD patients. The results indicate that those with an ABC score <69 at baseline had significantly higher risk of sustaining recurrent falls in the next 12 months. Findings of the present study highlight the importance of considering FoF during fall risk assessment in patients with PD.     

Gait variability in Parkinson’s disease: an indicator of non-dopaminergic contributors to gait dysfunction?

Gait variability has potential utility as a predictive measure of dysfunction in Parkinson’s disease (PD). Current understanding implicates non-dopaminergic pathways. This study investigated the explanatory characteristics of gait variability in PD on and off medication under single and dual task conditions. Fifty people with PD were assessed twice at home (on and off l-dopa) whilst walking under single and dual task conditions, and variability (coefficient of variation, CV) was calculated for stride time and double limb support (DLS) time. Hierarchical regression analysis was used to identify predictors. The first block of variables included age, gait speed, depression (Hospital Anxiety and Depression Scale) and fatigue (Multidimensional Fatigue Inventory), and the second block included motor severity (UPDRS III), executive function (Hayling and Brixton) and attention (Test of Everyday Attention). Motor severity predicted stride time variability and DLS time variability independent of l-dopa during single task gait. Dual task gait yielded a more complex picture. Depression made a unique contribution of 9.0% on medication and 5.0% off medication to stride time variability, and visual attention and younger age contributed to DLS variability on medication, explaining 3% and 2%, respectively. Motor severity predicted DLS variability off medication, explaining 74% of variance. Different characteristics explain the two measures of gait variability, pointing to different control mechanisms.     

Natural history of falls in a population-based cohort of patients with Parkinson's disease: An 8-year prospective study

BackgroundProspective long-term studies of falls in Parkinson's disease (PD) are scarce.ObjectiveTo examine the development of falls over 8 years in a population-based cohort of ambulatory patients with PD, and to investigate predictors of future falls in non-fallers at baseline.MethodsAll patients were examined at baseline and after 4 and 8 years, including the UPDRS, MMSE, Montgomery and Aaberg Depression Rating Scale, Functional Comorbidity Index, and a clinical dementia interview. Logistic regression models were applied to investigate baseline risk factors for future falls. A total of 211 patients were included at baseline, whereas 121 and 64 were re-examined at 4 and 8 years, respectively.ResultsThe prevalence of falls increased from 41% (87 of 211) at baseline to 72% (46 of 64) after 8 years of prospective follow-up (disease duration 16.2 ± 4.8 years). Forty-seven non-falling patients at baseline completed all study visits, of these 68% (n = 32) changed fall status during follow-up. Predictive variables for current falling after 4 years were rare or occasional freezing of gait (OR 6.6, 95% CI 1.2–36.9), higher levodopa equivalent doses and more severe speech and axial impairment (both OR 1.3, 95% CI 1.0–1.7) in non-fallers at baseline. Higher baseline age was the only risk factor for current falling after 8 years.ConclusionsNearly ¾ of the PD cohort reported falling after 8 years of follow-up. Disease-specific gait and axial impairments were the major risk factors for future falls in non-fallers at baseline. This has implications for patient education and management.     

Using machine learning-based analytics of daily activities to identify modifiable risk factors for falling in Parkinson’s disease

BackgroundAlthough risk factors that lead to falling in Parkinson's disease (PD) have been previously studied, the established predictors are mostly non-modifiable. A novel method for fall risk assessment may provide more insight into preventable high-risk activities to reduce future falls.ObjectivesTo explore the prediction of falling in PD patients using a machine learning-based approach.Method305 PD patients, with or without a history of falls within the past month, were recruited. Data including clinical demographics, medications, and balance confidence, scaled by the 16-item Activities-Specific Balance Confidence Scale (ABC-16), were entered into the supervised machine learning models using XGBoost to explore the prediction of fallers/recurrent fallers in two separate models.Results99 (32%) patients were fallers and 58 (19%) were recurrent fallers. The accuracy of the model to predict falls was 72% (p = 0.001). The most important factors were item 7 (sweeping the floor), item 5 (reaching on tiptoes), and item 12 (walking in a crowded mall) in the ABC-16 scale, followed by disease stage and duration. When recurrent falls were analysed, the models had higher accuracy (81%, p = 0.02). The strongest predictors of recurrent falls were item 12, 5, and 10 (walking across parking lot), followed by disease stage and current age.ConclusionOur machine learning-based study demonstrated that predictors of falling combined demographics of PD with environmental factors, including high-risk activities that require cognitive attention and changes in vertical and lateral orientations. This enables physicians to focus on modifiable factors and appropriately implement fall prevention strategies for individual patients.     

Recurrent falls and mortality in Parkinson’s disease: a prospective two‐year follow‐up study

Matinolli M, Korpelainen JT, Sotaniemi KA, Myllylä VV, Korpelainen R. Recurrent falls and mortality in Parkinson’s disease: a prospective two‐year follow‐up study.
Acta Neurol Scand: 2011: 123: 193–200.
© 2010 John Wiley & Sons A/S. Objectives – To evaluate the risk factors for recurrent falling and mortality in Parkinson’s disease (PD) in a prospective study design. Materials and methods – One hundred and twenty‐five PD patients were included in the study. Baseline medical data were collected, and patients were clinically tested for mobility and balance. Falls were prospectively recorded for 2 years. Mortality was documented 4 years after the baseline. Results – Seventy‐nine patients reported altogether 3125 falls during the follow‐up, and 59 patients were classified as recurrent fallers. Altogether 126 fall injuries including six fractures were reported. Eighteen patients had died by the time of the hospital chart review. History of falling (OR 3.02, 95% CI 1.23–7.44) and the Unified Parkinson’s Disease Rating Scale activities of daily living score (OR 1.13, 95% CI 1.04–1.22) were independent risk factors for recurrent falling in PD, whereas slow walking speed (OR 16.28, 95% CI 1.85–142.97) was an independent risk factor for mortality in PD. Conclusions – History of falling and disease severity indicate increased risk of recurrent falls in PD, while patients with slow walking speed may have an increased risk of mortality. Recurrent falling was not associated with increased risk of mortality in PD in this study.     

The relationship between psychotic-like experiences and attention deficits in adolescents

ObjectiveThe present study focused on the relationship between psychotic-like experiences (PLEs) and attention deficits in adolescents.MethodsA total of 2325 students, ages 14–19 years, across eight high schools in the Republic of Korea were recruited. Students performed the computerized Comprehensive Attention Test (CAT), which measures sustained and divided attention, and completed the Eppendorf Schizophrenia Inventory (ESI) and Beck Depression Inventory (BDI). One hundred sixty-six participants were excluded from the present study due to incomplete answers on the ESI; thus, data from 2159 students were included in the final analysis.ResultsHigher ESI scores predicted more omission and commission errors in divided-attention tasks after controlling for age, sex, and depressed mood (p = 0.024; p = 0.001, respectively). Attention and speech impairments on the ESI were the most frequent predictors of an increased number of errors in the attention tasks. All four ESI domains predicted the number of commission errors in divided-attention tasks (p < 0.001, p = 0.040, p = 0.046, and p = 0.013, respectively). In the high-risk group for psychosis (ESI ≥ 29), higher scores on the ideas of reference subscale were significantly associated with a higher number of both omission and commission errors in divided-attention tasks (p = 0.006, p = 0.017, respectively).ConclusionsPLEs during adolescents were associated with impaired attention on the divided-attention task, which demands increased attentional effort. Attention deficits in adolescents prone to psychosis may be related to thought-content disturbances rather than to cognitive and perceptual symptoms.     

SUNCT and SUNA: medical and surgical treatments

Cognitive deficits may contribute to falls in Parkinson’s disease (PD) and these deficits may be risk factors for falls. However, their association with falls has been generally studied in patients with continuous gait problems. There have been few studies in PD patients without postural instability. In addition, the effectiveness of various simple bedside cognitive tests in predicting falls has not been established. In this study, we investigated the effectiveness of three bedside cognitive tests in consecutive patients with PD without postural instability. Of the 119 patients, 39 experienced falls during the follow-up period. Of the bedside cognitive assessment methods examined, only the Montreal Cognitive Assessment (MoCA) score was significantly lower in the group of fallers than in the group of non-fallers. This result suggests that the MoCA is effective as a bedside test for evaluating the risk of falls.