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.

Defining and validating a short form Montreal Cognitive Assessment (s-MoCA) for use in neurodegenerative disease.

INTRODUCTION: Screening for cognitive deficits is essential in neurodegenerative disease. Screening tests, such as the Montreal Cognitive Assessment (MoCA), are easily administered, correlate with neuropsychological performance and demonstrate diagnostic utility. Yet, administration time is too long for many clinical settings. METHODS: Item response theory and computerised adaptive testing simulation were employed to establish an abbreviated MoCA in 1850 well-characterised community-dwelling individuals with and without neurodegenerative disease. RESULTS: 8 MoCA items with high item discrimination and appropriate difficulty were identified for use in a short form (s-MoCA). The s-MoCA was highly correlated with the original MoCA, showed robust diagnostic classification and cross-validation procedures substantiated these items. DISCUSSION: Early detection of cognitive impairment is an important clinical and public health concern, but administration of screening measures is limited by time constraints in demanding clinical settings. Here, we provide as-MoCA that is valid across neurological disorders and can be administered in approximately 5 min.

Cognition in individuals at risk for Parkinson's: Parkinson associated risk syndrome (PARS) study findings.

OBJECTIVES: The Parkinson Associated Risk Syndrome Study identified a cohort of healthy adults with hyposmia and dopamine transporter binding reduction to characterize individuals at risk for Parkinson's disease (PD). We describe the cognitive profile of this cohort. METHODS: Individuals older than 50 y without PD were recruited. Two hundred twenty-five completed cognitive testing and were included in the final analysis. A neuropsychological test battery was administered and normative scores created for global cognition, memory, executive function/working memory, processing speed/attention, visuospatial abilities, and language domains. Other non-motor symptoms (constipation, depression, anxiety, and rapid eye movement sleep behavior disorder) were assessed through questionnaires. RESULTS: Individuals with both hyposmia and reduced dopamine transporter binding (n = 38) had lower mean scores for global cognition, executive function/working memory, and memory compared with all other participants (n = 187). In separate multivariate logistic regression models, lower global cognition (odds ratio, 1.97, P = 0.004), and specifically executive function/working memory (odds ratio, 1.84, P = 0.004) scores were associated with membership in the hyposmia with dopamine transporter reduction group. Combining hyposmia with relative impairment on specific cognitive domains increased the odds of dopamine transporter binding reduction compared with hyposmia alone, with the greatest increase in odds for hyposmia plus executive function/working memory relative impairment (68% increase in odds from 4.14 to 6.96). CONCLUSION: Changes in global cognitive abilities, and specifically executive function/working memory, are present in individuals at risk for PD. Combining non-motor features, including cognition, improves prediction of dopamine transporter binding reduction.

Biomarkers in Prodromal Parkinson Disease: a Qualitative Review.

BACKGROUND: Over the past several years, the concept of prodromal Parkinson disease (PD) has been increasingly recognized. This term refers to individuals who do not fulfill motor diagnostic criteria for PD, but who have clinical, genetic, or biomarker characteristics suggesting risk of developing PD in the future. Clinical diagnosis of prodromal PD has low specificity, prompting the need for objective biomarkers with higher specificity. In this qualitative review, we discuss objectively defined putative biomarkers for PD and prodromal PD. METHODS: We searched Pubmed and Embase for articles pertaining to objective biomarkers for PD and their application in prodromal cohorts. Articles were selected based on relevance and methodology. KEY FINDINGS: Objective biomarkers of demonstrated utility in prodromal PD include ligand-based imaging and transcranial sonography. Development of serum, cerebrospinal fluid, and tissue-based biomarkers is underway, but their application in prodromal PD has yet to meaningfully occur. Combining objective biomarkers with clinical or genetic prodromal features increases the sensitivity and specificity for identifying prodromal PD. CONCLUSIONS: Several objective biomarkers for prodromal PD show promise but require further study, including their application to and validation in prodromal cohorts followed longitudinally. Accurate identification of prodromal PD will likely require a multimodal approach. (JINS, 2016, 22, 956-967).

Plasma apolipoprotein A1 associates with age at onset and motor severity in early Parkinson's disease patients.

BACKGROUND: Development of robust plasma-based biomarkers in Parkinson's disease (PD) could lead to new approaches for identifying those at risk for PD and developing novel therapies. Here, we validate plasma apolipoprotein A1 (ApoA1) as a correlate of age at onset and motor severity in PD. METHODS: Plasma ApoA1 and high-density lipoprotein at baseline, 6 months, and 12 months were measured in 254 research volunteers (154 patients with PD and 100 normal controls) enrolled in the Parkinson's Progression Markers Initiative (PPMI) study. RESULTS: Lower baseline plasma ApoA1 levels associate with an earlier age at PD onset in early-stage, drug-naïve PPMI PD patients (P = 0.023). Moreover, lower baseline ApoA1 levels trend toward association with worse motor severity in PPMI PD patients (p = 0.080). Over 12 months of follow-up, plasma ApoA1 levels do not predict motor decline in the PPMI PD cohort. Finally, a meta-analysis of five PD cohorts encompassing >1,000 patients confirms significant association of lower plasma ApoA1 with earlier age at PD onset (P < 0.001) and greater motor severity (P < 0.001). CONCLUSIONS: Our results confirm the previously reported association of lower plasma ApoA1 levels with two clinical features suggesting poorer dopaminergic system integrity-earlier age at PD onset and greater motor severity-in early-stage, drug-naïve PD patients. This is the first report of a plasma-based biomarker evaluated in the PPMI study. Future investigations are warranted evaluating plasma ApoA1 as a longitudinal correlate of disease progression as well as investigating the potential of ApoA1 as a therapeutic target in PD.

Correlates of excessive daytime sleepiness in de novo Parkinson's disease: A case control study.

OBJECTIVE: This study was undertaken to determine the frequency and correlates of excessive daytime sleepiness in de novo, untreated Parkinson's disease (PD) patients compared with the matched healthy controls. METHODS: Data were obtained from the Parkinson's Progression Markers Initiative, an international study of de novo, untreated PD patients and healthy controls. At baseline, participants were assessed with a wide range of motor and nonmotor scales, including the Movement Disorder Society Unified Parkinson's Disease Rating Scale (MDS-UPDRS). Excessive daytime sleepiness was assessed based on the Epworth Sleepiness scale (ESS), with a cutoff of 10. RESULTS: Four hundred twenty-three PD subjects and 196 healthy controls were recruited into the study. Mean ESS (min, max) score was 5.8 (0, 20) for the PD subjects and 5.6 (0, 19) for healthy controls (P = 0.54). Sixty-six (15.6%) PD subjects and 24 (12%) healthy controls had ESS of at least 10 (P = 0.28). No difference was seen in demographic characteristics, age of onset, disease duration, PD subtype, cognitive status, or utilization of sedatives between the PD sleepiness-positive versus the negative group. The sleepiness-positive group had higher MDS-UPDRS Part I and II but not III scores, and higher depression and autonomic dysfunction scores. Sleepiness was associated with a marginal reduction of A-beta (P = 0.05) but not alpha-synuclein spinal fluid levels in PD. CONCLUSIONS: This largest case control study demonstrates no difference in prevalence of excessive sleepiness in subjects with de novo untreated PD compared with healthy controls. The only clinical correlates of sleepiness were mood and autonomic dysfunction. Ongoing longitudinal analyses will be essential to further examine clinical and biological correlates of sleepiness in PD and specifically the role of dopaminergic therapy.

Cognitive performance and neuropsychiatric symptoms in early, untreated Parkinson's disease.

UNLABELLED: This study was undertaken to determine the prevalence and correlates of cognitive impairment (CI) and neuropsychiatric symptoms (NPS) in early, untreated patients with Parkinson's disease (PD). BACKGROUND: Both CI and NPS are common in PD and impact disease course and quality of life. However, limited knowledge is available about cognitive abilities and NPS. METHODS: Parkinson's Progression Markers Initiative (PPMI) is a multi-site study of early, untreated PD patients and healthy controls (HCs), the latter with normal cognition. At baseline, participants were assessed with a neuropsychological battery and for symptoms of depression, anxiety, impulse control disorders (ICDs), psychosis, and apathy. RESULTS: Baseline data of 423 PD patients and 196 HCs yielded no between-group differences in demographic characteristics. Twenty-two percent of PD patients met the PD-recommended screening cutoff for CI on the Montral Cognitive Assessment (MoCA), but only 9% met detailed neuropsychological testing criteria for mild cognitive impairment (MCI)-level impairment. The PD patients were more depressed than HCs (P < 0.001), with twice as many (14% vs. 7%) meeting criteria for clinically significant depressive symptoms. The PD patients also experienced more anxiety (P < 0.001) and apathy (P < 0.001) than HCs. Psychosis was uncommon in PD (3%), and no between-group difference was seen in ICD symptoms (P = 0.51). CONCLUSIONS: Approximately 10% of PD patients in the early, untreated disease state met traditional criteria of CI, which is a lower frequency compared with previous studies. Multiple dopaminergic-dependent NPS are also more common in these patients compared with the general population, but others associated with dopamine replacement therapy are not or are rare. Future analyses of this cohort will examine biological predictors and the course of CI and NPS. © 2015 International Parkinson and Movement Disorder Society.

Conversion between mini-mental state examination, montreal cognitive assessment, and dementia rating scale-2 scores in Parkinson's disease.

Cognitive impairment is one of the earliest, most common, and most disabling non-motor symptoms in Parkinson's disease (PD). Thus, routine screening of global cognitive abilities is important for the optimal management of PD patients. Few global cognitive screening instruments have been developed for or validated in PD patients. The Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), and Dementia Rating Scale-2 (DRS-2) have been used extensively for cognitive screening in both clinical and research settings. Determining how to convert the scores between instruments would facilitate the longitudinal assessment of cognition in clinical settings and the comparison and synthesis of cognitive data in multicenter and longitudinal cohort studies. The primary aim of this study was to apply a simple and reliable algorithm for the conversion of MoCA to MMSE scores in PD patients. A secondary aim was to apply this algorithm for the conversion of DRS-2 to both MMSE and MoCA scores. The cognitive performance of a convenience sample of 360 patients with idiopathic PD was assessed by at least two of these cognitive screening instruments. We then developed conversion scores between the MMSE, MoCA, and DRS-2 using equipercentile equating and log-linear smoothing. The conversion score tables reported here enable direct and easy comparison of three routinely used cognitive screening assessments in PD patients.

Questionnaire-based diagnosis of REM sleep behavior disorder in Parkinson's disease.

BACKGROUND: Rapid eye movement (REM) sleep behavior disorder (RBD) is present in around 40% of Parkinson's disease (PD) patients. Definitive diagnosis requires a polysomnogram, but that is costly, time intensive, and not practical for large-scale studies. Therefore, we assessed using a questionnaire-based diagnostic approach. METHODS: The patient-administered RBD questionnaire and bed-partner-administered question 1 of the Mayo questionnaire were prospectively validated. RESULTS: Seventy-five PD patients (51 male, 68 Hoehn and Yahr stages I and II) participated. Forty-eight had a clinical history of RBD. Sensitivity was 100% (95% CI, 86.3%-100%) when a combination of both questionnaires was compared with the gold standard of polysomnogram-confirmed RBD. Among those who achieved REM sleep (n=65), specificity was highest for the patient questionnaire used alone, at 82.4% (95% CI, 64.8%-92.6%). CONCLUSIONS: A combination of patient and bed-partner questionnaires is a useful tool to detect RBD.

Diagnostic markers for Parkinson's disease.

PURPOSE OF REVIEW: This review enumerates recent developments in the early diagnosis of Parkinson's disease, with an emphasis on detection of preclinical Parkinson's disease. RECENT FINDINGS: Several clinical, laboratory, and imaging tests are now being investigated as potential early markers of Parkinson's disease. These include various nonmotor features that predate the motor manifestations of Parkinson's disease, including sleep abnormalities, neurobehavioral symptoms, and olfactory dysfunction. Tests of the autonomic nervous system, such as cardiac functional imaging, allow for a measure of cardiac sympathetic denervation. Cerebrospinal fluid and serum tests, including α-synuclein and DJ-1, are being developed and refined. Various imaging modalities have contributed to the diagnostic armamentarium in Parkinson's disease, including transcranial Doppler ultrasonography, radiolabeled tracer imaging, and magnetic resonance imaging. Early Parkinson's disease detection will pave the way for major advances in disease modifying therapies. SUMMARY: Various diagnostic modalities hold promise for the early and preclinical diagnosis of Parkinson's disease. It is likely that the future diagnosis of Parkinson's disease will rely on a combination of clinical, laboratory, imaging, and genetic data.

Health care delivery systems for older adults: how do the Netherlands and Lebanon compare?

Older individuals are given low priority compared to other age groups in many societies and geriatric care is not well-developed in many countries. With the global trend in population aging, the increasing number of older adults can be expected to challenge already-fragile health care facilities. Health care systems vary greatly from one country to another. Based on common research interests and through an educational exchange program between the University of Groningen (the Netherlands) and the American University of Beirut (Lebanon), a project was started to compare the Dutch and Lebanese health care delivery systems for older individuals, demonstrate their strengths and pitfalls, and draw from their resemblance and differences pivotal conclusions leading to positive change. In particular we examined the nursing homes, geriatric medicine and insurance coverage, and pension plans of both countries.

A systematic review of the literature on disorders of sleep and wakefulness in Parkinson's disease from 2005 to 2015.

Sleep disorders are among the most common non-motor manifestations in Parkinson's disease (PD) and have a significant negative impact on quality of life. While sleep disorders in PD share most characteristics with those that occur in the general population, there are several considerations specific to this patient population regarding diagnosis, management, and implications. The available research on these disorders is expanding rapidly, but many questions remain unanswered. We thus conducted a systematic review of the literature published from 2005 to 2015 on the following disorders of sleep and wakefulness in PD: REM sleep behavior disorder, insomnia, nocturia, restless legs syndrome and periodic limb movements, sleep disordered breathing, excessive daytime sleepiness, and circadian rhythm disorders. We discuss the epidemiology, etiology, clinical implications, associated features, evaluation measures, and management of these disorders. The influence on sleep of medications used in the treatment of motor and non-motor symptoms of PD is detailed. Additionally, we suggest areas in need of further research.

Neuropsychological Subgroups in Non-Demented Parkinson's Disease: A Latent Class Analysis.

BACKGROUND: Methods to detect early cognitive decline and account for heterogeneity of deficits in Parkinson's disease (PD) are needed. Quantitative methods such as latent class analysis (LCA) offer an objective approach to delineate discrete phenotypes of impairment. OBJECTIVE: To identify discrete neurocognitive phenotypes in PD patients without dementia. METHODS: LCA was applied to a battery of 8 neuropsychological measures to identify cognitive subtypes in a cohort of 199 non-demented PD patients. Two measures were analyzed from each of four domains: executive functioning, memory, visuospatial abilities, and language. Additional analyses compared groups on clinical characteristics and cognitive diagnosis. RESULTS: LCA identified 3 distinct groups of PD patients: an intact cognition group (54.8%), an amnestic group (32.2%), and a mixed impairment group with dysexecutive, visuospatial and lexical retrieval deficits (13.1%). The two impairment groups had significantly lower instrumental activities of daily living ratings and greater motor symptoms than the intact group. Of those diagnosed as cognitively normal according to MDS criteria, LCA classified 23.2% patients as amnestic and 9.9% as mixed cognitive impairment. CONCLUSIONS: Non-demented PD patients exhibit distinct neuropsychological profiles. One-third of patients with LCA-determined impairment were diagnosed as cognitively intact by expert consensus, indicating that classification using a statistical algorithm may improve detection of initial and subtle cognitive decline. This study also demonstrates that memory impairment is common in non-demented PD even when cognitive impairment is not clinically apparent. This study has implications for predicting eventual emergence of significant cognitive decline, and treatment trials for cognitive dysfunction in PD.

Restless legs syndrome: a review.

Restless legs syndrome (RLS) is a sensorimotor disorder characterized by an irresistible urge to move the limbs accompanied by uncomfortable sensations, leading to sleep disturbances. It is associated with psychiatric comorbidities and a decreased quality of life. RLS is common and most severe among females and the elderly. It may be primary or secondary to other conditions and may be familial. Linkage to several chromosomal loci have been demonstrated. The pathogenesis of RLS involves dopaminergic dysfunction, iron metabolism, and abnormalities in supraspinal inhibition. The mainstay of RLS therapy are dopamine agonists or levodopa. This article reviews the clinical characteristics, epidemiology, diagnosis, pathogenesis, and treatment of RLS.

Benign pediatric localization-related epilepsies.

By definition, benign epilepsy syndromes occur in patients with no significant prenatal, perinatal, or postnatal complications, normal psychomotor development and negative laboratory and neuroimaging work-up, respond well to therapy, and remit without sequeale. The benign localization-related epilepsy syndromes of childhood include benign childhood epilepsy with centrotemporal spikes, Panayiotopoulos syndrome and Gastaut-type idiopathic childhood epilepsy with occipital paroxysms. Some patients initially presumed to have these or, for that matter, other benign syndromes in other age groups, follow a less typical course and continue to experience seizures or to exhibit neuropsychological deficits. Thus the diagnosis of a "possible" or "probable" benign epilepsy syndrome may need to be applied to patients initially suspected of having such syndromes until follow-up shows that they clearly follow a benign course. In Part I (Chahine and Mikati 2006) of our two-part review article, we discussed benign localization-related syndromes encountered in infancy. In this second part, we review the epidemiology, clinical manifestations, neuropsychological features, EEG findings, work-up and diagnostic criteria, differential diagnosis, genetics, management and prognosis of the three childhood-onset syndromes. In addition, we discuss their occasional overlap with or progression into other syndromes.

Benign pediatric localization-related epilepsies. Part I. Syndromes in infancy.

There is currently increasing interest in identifying and classifying pediatric benign epilepsy syndromes and recently several new syndromes have been recognized. Benign epilepsy syndromes, by definition, occur in children with normal developmental history, respond well to therapy, and remit without sequelae. The large majority of children with benign epilepsy syndromes follow a truly benign course. The concept of benign epilepsy syndromes has, however, been challenged by the minority of patients who continue to have seizures despite therapy, develop new seizures after initial remission, or exhibit neuropsychological abnormalities. Without long-term follow-up, benignity can not be truly ascertained a priori. Thus it may be preferable to use the terms possible and probable before the name of a specific syndrome until such time that the diagnosis of a definite benign syndrome is confirmed on long-term follow-up. In this review of the pediatric benign localization-related epilepsy syndromes, we address the concept of benignity and the process of diagnosis of a benign epilepsy syndrome. In addition we review the epidemiology, clinical manifestations, EEG findings, work-up, diagnostic criteria, differential diagnosis, genetics, management and prognosis of benign infantile familial convulsions, benign partial epilepsy in infancy with complex partial seizures, benign partial epilepsy in infancy with secondarily generalized seizures, benign infantile convulsions associated with mild gastroenteritis, and benign infantile focal epilepsy with midline spikes and waves during sleep.

Olfactory impairment predicts cognitive decline in early Parkinson's disease.

OBJECTIVE: To evaluate the association between baseline olfaction and both cross-sectional and longitudinal cognitive assessments, motor symptoms, non-motor symptoms (NMS), and CSF biomarkers in early Parkinson's disease (PD). METHODS: Parkinson's Progression Marker's Initiative (PPMI) participants underwent baseline olfactory testing with the University of Pennsylvania Smell Identification Test (UPSIT). Serial assessments included measures of motor symptoms, NMS, neuropsychological assessment, and CSF biomarkers. Up to three years follow-up data were included. RESULTS: At baseline, worse olfaction (lowest tertile) was associated with more severe NMS, including anxiety and autonomic symptoms. Those in the lowest olfactory tertile were more likely to report cognitive impairment (37.4%) compared to those in the middle (24.4%) and highest olfactory tertiles (14.2%, p < 0.001). Aß1-42 was significantly lower, and tau/Aß1-42 ratio was higher in those with worse olfaction. In longitudinal analyses, lower UPSIT score was associated with greater decline in MoCA score (ß = 0.02 [0.01, 0.03], p = 0.001) over time, as were composite measures of UPSIT score and either Aß1-42 or tau/Aß1-42 ratio. In a Cox proportional hazards model, a composite measure of olfaction and Aß1-42 was a significant predictor of conversion from normal cognition to mild cognitive impairment (MCI; i.e., MoCA < 26), with subjects most impaired on both measures being 87% more likely to develop incident MCI (HR = 1.87 [1.16, 3.01], p = 0.01). CONCLUSIONS: Worse baseline olfaction is associated with long-term cognitive decline. The addition of AD CSF biomarkers to olfactory testing may increase the likelihood of identifying those at highest risk for cognitive decline and progression to MCI.

Longitudinal study of normal cognition in Parkinson disease.

OBJECTIVE: To report the rates and predictors of progression from normal cognition to either mild cognitive impairment (MCI) or dementia using standardized neuropsychological methods. METHODS: A prospective cohort of patients diagnosed with Parkinson disease (PD) and baseline normal cognition was assessed for cognitive decline, performance, and function for a minimum of 2 years, and up to 6. A panel of movement disorders experts classified patients as having normal cognition, MCI, or dementia, with 55/68 (80.9%) of eligible patients seen at year 6. Kaplan-Meier curves and Cox proportional hazard models were used to examine cognitive decline and its predictors. RESULTS: We enrolled 141 patients, who averaged 68.8 years of age, 63% men, who had PD on average for 5 years. The cumulative incidence of cognitive impairment was 8.5% at year 1, increasing to 47.4% by year 6. All incident MCI cases had progressed to dementia by year 5. In a multivariate analysis, predictors of future decline were male sex (p = 0.02), higher Unified Parkinson's Disease Rating Scale motor score (p ≤ 0.001), and worse global cognitive score (p < 0.001). CONCLUSIONS: Approximately half of patients with PD with normal cognition at baseline develop cognitive impairment within 6 years and all new MCI cases progress to dementia within 5 years. Our results show that the transition from normal cognition to cognitive impairment, including dementia, occurs frequently and quickly. Certain clinical and cognitive variables may be useful in predicting progression to cognitive impairment in PD.

Characterizing Premotor Parkinson's Disease: Clinical Features and Objective Markers.

Increasingly, it has been recognized that in order to affect underlying neurodegeneration in Parkinson's disease (PD), individuals must be identified before onset of the classic motor symptoms. Thus, for research purposes, a redefinition of PD has been proposed into preclinical, premotor, and motor phases. In the preclinical phase, no clinical signs or symptoms of PD are present. In the premotor phase, nonmotor manifestations are detectable. These include olfactory, neuropsychiatric, sleep, gastrointestinal, and autonomic changes. A multi-modal approach is needed to maximize both sensitivity and specificity of any assessment of the premotor phase. To that end, several objective markers, such as dopaminergic imaging and electrophysiologic techniques, exist and are of potential utility. This review discusses the candidate nonmotor features and potential objective measures that may be used to define the premotor phase of PD.