Accurate Detection of α-Synuclein Seeds in Cerebrospinal Fluid from Isolated Rapid Eye Movement Sleep Behavior Disorder and Patients with Parkinson's Disease in the DeNovo Parkinson (DeNoPa) Cohort.

BACKGROUND: Misfolded α-synuclein (αSyn) aggregates (αSyn-seeds) in cerebrospinal fluid (CSF) are biomarkers for synucleinopathies such as Parkinson's disease (PD). αSyn-seeds have been detected in prodromal cases with isolated rapid eye movement sleep behavior disorder (iRBD). OBJECTIVES: The objective of this study was to determine the accuracy of the αSyn-seed amplification assay (αS-SAA) in a comprehensively characterized cohort with a high proportion of PD and iRBD CSF samples collected at baseline. METHODS: We used a high-throughput αS-SAA to analyze 233 blinded CSF samples from 206 participants of the DeNovo Parkinson Cohort (DeNoPa) (113 de novo PD, 64 healthy controls, 29 iRBD confirmed by video polysomnography). Results were compared with the final diagnosis, which was determined after up to 10 years of longitudinal clinical evaluations, including dopamine-transporter-single-photon emission computed tomography (DAT-SPECT) at baseline, CSF proteins, Movement Disorder Society-Unified Parkinson's Disease Rating Scale, and various cognitive and nonmotor scales. RESULTS: αS-SAA detected αSyn-seeds in baseline PD-CSF with 98% accuracy. αSyn-seeds were detected in 93% of the iRBD cases. αS-SAA results showed higher agreement with the final than the initial diagnosis, as 14 patients were rediagnosed as non-αSyn aggregation disorder. For synucleinopathies, αS-SAA showed higher concordance with the final diagnosis than DAT-SPECT. Statistically significant correlations were found between assay parameters and disease progression. CONCLUSIONS: Our results confirm αS-SAA accuracy at the first clinical evaluation when a definite diagnosis is most consequential. αS-SAA conditions reported here are highly sensitive, enabling the detection of αSyn-seeds in CSF from iRBD just months after the first symptoms, suggesting that αSyn-seeds are present in the very early prodromal phase of synucleinopathies. Therefore, αSyn-seeds are clear risk markers for synuclein-related disorders, but not for time of phenoconversion. © 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

Restless legs syndrome: Over 50 years of European contribution.

Restless legs syndrome (RLS) is a sensorimotor neurological disorder characterised by an urge to move the limbs with a circadian pattern (occurring in the evening/at night), more prominent at rest, and relieved with movements. RLS is one of the most prevalent sleep disorders, occurring in 5%-10% of the European population. Thomas Willis first described RLS clinical cases already in the 17th century, and Karl-Axel Ekbom described the disease as a modern clinical entity in the 20th century. Despite variable severity, RLS can markedly affect sleep (partly through the presence of periodic leg movements) and quality of life, with a relevant socio-economic impact. Thus, its recognition and treatment are essential. However, screening methods present limitations and should be improved. Moreover, available RLS treatment options albeit providing sustained relief to many patients are limited in number. Additionally, the development of augmentation with dopamine agonists represents a major treatment problem. A better understanding of RLS pathomechanisms can bring to light novel treatment possibilities. With emerging new avenues of research in pharmacology, imaging, genetics, and animal models of RLS, this is an interesting and constantly growing field of research. This review will update the reader on the current state of RLS clinical practice and research, with a special focus on the contribution of European researchers.

Awakening to sleep disorders in Europe: Survey on education, knowledge and treatment competence of European residents and neurologists.

OBJECTIVES: Sleep-wake disorders are common in the general population and in most neurological disorders but are often poorly recognized. With the hypothesis that neurologists do not get sufficient training during their residency, the Young European Sleep Neurologist Association (YESNA) of the European Academy of Neurology (EAN) performed a survey on postgraduate sleep education. METHODS: A 16-item questionnaire was developed and distributed among neurologists and residents across European countries. Questions assessed demographic, training and learning preferences in sleep disorders, as well as a self-evaluation of knowledge based on five basic multiple-choice questions (MCQs) on sleep-wake disorders. RESULTS: The questionnaire was completed by 568 participants from 20 European countries. The mean age of participants was 31.9 years (SD 7.4 years) and was composed mostly of residents (73%). Three-quarters of the participants reported undergraduate training in sleep medicine, while fewer than 60% did not receive any training on sleep disorders during their residencies. Almost half of the participants (45%) did not feel prepared to treat neurological patients with sleep problems. Only one-third of the participants correctly answered at least three MCQs. Notably, 80% of participants favoured more education on sleep-wake disorders during the neurology residency. CONCLUSIONS: Education and knowledge on disorders in European neurological residents is generally insufficient, despite a strong interest in the topic. The results of our study may be useful for improving the European neurology curriculum and other postgraduate educational programmes.

[Update on restless legs syndrome]. / Restless-legs-Syndrom: ein Update.

Restless legs syndrome (RLS), with a lifetime prevalence of up to 10%, is a frequent neurological disease and the most common movement disorder in sleep. A compulsive urge to move the legs with sensory symptoms and sleep disturbances can significantly impair the quality of life. Furthermore, RLS frequently occurs as a comorbidity to various internal and neurological diseases. It is diagnosed clinically based on the five essential diagnostic criteria. For treatment, an iron deficiency should first be excluded. Drugs approved for the treatment of RLS include dopaminergics (L-DOPA/benserazide) and dopamine agonists as well as oxycodone/naloxone, as a second-line treatment in severe cases. Augmentation as a deterioration of symptoms is a clinically defined complication of high-dose dopaminergic treatment, requiring special management strategies. Due to its high prevalence of up to 25%, RLS plays also an important role in the care of pregnant women.

External validation of a data-driven algorithm for muscular activity identification during sleep.

Several automated methods for scoring periodic limb movements during sleep (PLMS) and rapid eye movement (REM) sleep without atonia (RSWA) have been proposed, but most of them were developed and validated on data recorded in the same clinic, thus they may be biased. This work aims to validate our data-driven algorithm for muscular activity detection during sleep, originally developed based on data recorded and manually scored at the Danish Center for Sleep Medicine. The validation was carried out on a cohort of 240 participants, including de novo Parkinson's disease (PD) patients and neurologically healthy controls, whose sleep data were recorded and manually evaluated at Paracelsus-Elena Klinik, Kassel, Germany. In the German cohort, the algorithm showed generally good agreement between manual and automated PLMS indices, and identified with 88.75% accuracy participants with PLMS index above 15 PLMS per hour of sleep, and with 84.17% accuracy patients suffering from REM sleep behaviour disorder (RBD) showing RSWA. By comparing the algorithm performances in the Danish and German cohorts, we hypothesized that inter-clinical differences may exist in the way limb movements are manually scored and how healthy controls are defined. Finally, the algorithm performed worse in PD patients, probably as a result of increased artefacts caused by abnormal motor events related to neurodegeneration. Our algorithm can identify, with reasonable performance, participants with RBD and increased PLMS index from data recorded in different centres, and its application may reveal inter clinical differences, which can be overcome in the future by applying automated methods.

REM sleep behavior disorder in Parkinson's disease.

Rapid eye movement (REM) sleep behavior disorder (RBD) is a sleep disorder characterized by loss of normal muscle atonia during REM sleep with recurrent dream enactment and excessive motor activity. It is a frequent feature in patients with Parkinson's disease (PD) and other alpha-synucleinopathies, and can occur at any stage of the disease. RBD could be considered a premotor clinical manifestation, and can antedate by many years the motor symptomatology. The prognostic value of RBD for the risk of developing PD still needs to be established. This review article focuses on the clinical aspects, screening and diagnostic criteria as well as therapeutic aspects of RBD in PD patients. Pathophysiological pathways are also briefly reviewed.

Lysosomal and synaptic dysfunction markers in longitudinal cerebrospinal fluid of de novo Parkinson's disease.

Lysosomal and synaptic dysfunctions are hallmarks in neurodegeneration and potentially relevant as biomarkers, but data on early Parkinson's disease (PD) is lacking. We performed targeted mass spectrometry with an established protein panel, assessing autophagy and synaptic function in cerebrospinal fluid (CSF) of drug-naïve de novo PD, and sex-/age-matched healthy controls (HC) cross-sectionally (88 PD, 46 HC) and longitudinally (104 PD, 58 HC) over 10 years. Multiple markers of autophagy, synaptic plasticity, and secretory pathways were reduced in PD. We added samples from prodromal subjects (9 cross-sectional, 12 longitudinal) with isolated REM sleep behavior disorder, revealing secretogranin-2 already decreased compared to controls. Machine learning identified neuronal pentraxin receptor and neurosecretory protein VGF as most relevant for discriminating between groups. CSF levels of LAMP2, neuronal pentraxins, and syntaxins in PD correlated with clinical progression, showing predictive potential for motor- and non-motor symptoms as a valid basis for future drug trials.

Plasma proteomics identify biomarkers predicting Parkinson's disease up to 7 years before symptom onset.

Parkinson's disease is increasingly prevalent. It progresses from the pre-motor stage (characterised by non-motor symptoms like REM sleep behaviour disorder), to the disabling motor stage. We need objective biomarkers for early/pre-motor disease stages to be able to intervene and slow the underlying neurodegenerative process. Here, we validate a targeted multiplexed mass spectrometry assay for blood samples from recently diagnosed motor Parkinson's patients (n = 99), pre-motor individuals with isolated REM sleep behaviour disorder (two cohorts: n = 18 and n = 54 longitudinally), and healthy controls (n = 36). Our machine-learning model accurately identifies all Parkinson patients and classifies 79% of the pre-motor individuals up to 7 years before motor onset by analysing the expression of eight proteins-Granulin precursor, Mannan-binding-lectin-serine-peptidase-2, Endoplasmatic-reticulum-chaperone-BiP, Prostaglaindin-H2-D-isomaerase, Interceullular-adhesion-molecule-1, Complement C3, Dickkopf-WNT-signalling pathway-inhibitor-3, and Plasma-protease-C1-inhibitor. Many of these biomarkers correlate with symptom severity. This specific blood panel indicates molecular events in early stages and could help identify at-risk participants for clinical trials aimed at slowing/preventing motor Parkinson's disease.

The Increasing Prevalence of REM Sleep Behavior Disorder with Parkinson's Disease Progression: A Polysomnography-Supported Study.

Objectives: Rapid eye movement (REM) sleep behavior disorder (RBD) is proposed as an early diagnostic marker in Parkinson's disease (PD). We investigated the frequency of RBD during the progression of PD in the advanced stages and identified potential risk factors for developing RBD earlier or later. Patients and Methods: We performed a retrospective analysis and determined the frequency of RBD in all PD in-patients (Hoehn and Yahr stages ≥3) with motor fluctuations who had undergone video-polysomnography (vPSG) for a sleep complaint or daytime sleepiness. To correct for selection bias, we analyzed the prevalence of RBD in PD patients from the DeNoPa cohort. PD patients with RBD were compared with PD without RBD. To identify potential risk factors, we performed multiple regression modeling. Results: A total of 504 PD patients had vPSG. 37 were excluded due to missing REM or artifacts during REM. RBD was present in 406/467 (86.9%) PD patients. PD + RBD patients were older than PDnonRBD (69 ± 7.7 vs. 64 ± 9.2 years, P < 0.01), were more likely to have postural instability [234 (59.1%) vs. 19 (33.9%), P < 0.01], and were treated more often with antidepressants (other than SSRIs) [141 (34.7%) vs. 7 (13%), P < 0.01]. Multiple regression modeling identified predictors of RBD with an AUC of 0.78. Conclusion: The prevalence of RBD in patients with advanced PD is high and increases with disease severity, motor deficits, postural instability, orthostatic symptoms, and age. This suggests RBD is a progression marker of PD in patients with sleep complaints.

Incidence and Progression of Rapid Eye Movement Behavior Disorder in Early Parkinson's Disease.

BACKGROUND: Rapid eye movement (REM) sleep behavior disorder (RBD) is associated with neurodegenerative diseases; however, few longitudinal studies assess the individual evolution of RBD and REM sleep without atonia (RWA) in Parkinson's disease (PD). OBJECTIVES: We aimed to evaluate RBD and RWA changes over time as well as potentially influential factors. METHODS: RBD and RWA were analyzed using video-supported polysomnography (vPSG) in initially de novo PD patients at baseline and every 2 years for a total of 6 years. The influence of time, age, sex, levodopa equivalent daily dose (LEDD), unified Parkinson's disease rating scale (UPDRS) sum scores, benzodiazepine intake, Mini-Mental State Examination (MMSE) total scores, and dyskinesia on RWA were investigated using mixed-effect models to account for intra-individual correlations. RESULTS: After 6 years, vPSG data were available from 98 of the initial 159 de novo PD patients. RBD prevalence increased from 25% at baseline to 52%. Of the 31 PD patients with RBD and valid vPSGs at all time-points, RWA increased from an average of 19% at baseline to 41% at 6-year follow-up modeled to grow by 29.7% every 2 years (P < 0.001). Time was an independent factor (P < 0.001) for RWA increase. Age was an independent factor influencing RWA increase (P = 0.04). Sex, LEDD, UPDRS sum scores, benzodiazepines, MMSE total scores, and dyskinesia did not have any significant influence. CONCLUSIONS: RBD and RWA increased significantly over time in PD; time and age were independent factors in a prospective cohort. RBD and RWA can be considered PD progression markers.

A data-driven system to identify REM sleep behavior disorder and to predict its progression from the prodromal stage in Parkinson's disease.

OBJECTIVES: To investigate electroencephalographic (EEG), electrooculographic (EOG) and micro-sleep abnormalities associated with rapid eye movement (REM) sleep behavior disorder (RBD) and REM behavioral events (RBEs) in Parkinson's disease (PD). METHODS: We developed an automated system using only EEG and EOG signals. First, automatic macro- (30-s epochs) and micro-sleep (5-s mini-epochs) staging was performed. Features describing micro-sleep structure, EEG spectral content, EEG coherence, EEG complexity, and EOG energy were derived. All features were input to an ensemble of random forests, giving as outputs the probabilities of having RBD or not (P (RBD) and P (nonRBD), respectively). A patient was classified as having RBD if P (RBD)≥P (nonRBD). The system was applied to 107 de novo PD patients: 54 had normal REM sleep (PDnonRBD), 26 had RBD (PD + RBD), and 27 had at least two RBEs without meeting electromyographic RBD cut-off (PD + RBE). Sleep diagnoses were made with video-polysomnography (v-PSG). RESULTS: Considering PDnonRBD and PD + RBD patients only, the system identified RBD with accuracy, sensitivity, and specificity over 80%. Among the features, micro-sleep instability had the highest importance for RBD identification. Considering PD + RBE patients, the ones who developed definite RBD after two years had significantly higher values of P (RBD) at baseline compared to the ones who did not. The former were distinguished from the latter with sensitivity and specificity over 75%. CONCLUSIONS: Our method identifies RBD in PD patients using only EEG and EOG signals. Micro-sleep instability could be a biomarker for RBD and for proximity of conversion from RBEs, as prodromal RBD, to definite RBD in PD patients.

Insomnia in neurological diseases.

Insomnia is defined as difficulties of initiating and maintaining sleep, early awakening and poor subjective sleep quality despite adequate opportunity and circumstances for sleep with impairment of daytime performance. These components of insomnia - namely persistent sleep difficulties despite of adequate sleep opportunity resulting in daytime dysfunction - appear secondary or co-morbid to neurological diseases. Comorbid insomnia originates from neurodegenerative, inflammatory, traumatic or ischemic changes in sleep regulating brainstem and hypothalamic nuclei with consecutive changes of neurotransmitters. Symptoms of neurological disorders (i.e motor deficits), co-morbidities (i.e. pain, depression, anxiety) and some disease-specific pharmaceuticals may cause insomnia and/or other sleep problems.This guideline focuses on insomnias in headaches, neurodegenerative movement disorders, multiple sclerosis, traumatic brain injury, epilepsies, stroke, neuromuscular disease and dementia.The most important new recommendations are: Cognitive behavioral therapy (CBTi) is recommended to treat acute and chronic insomnia in headache patients. Insomnia is one of the most frequent sleep complaints in neurodegenerative movement disorders. Patients may benefit from CBTi, antidepressants (trazodone, doxepin), melatonin and gaba-agonists. Insomnia is a frequent precursor of MS symptoms by up to 10 years. CBTi is recommended in patients with MS, traumatic brain injury and. Melatonin may improve insomnia symptoms in children with epilepsies. Patients with insomnia after stroke can be treated with benzodiazepine receptor agonists and sedating antidepressants. For patients with dementia suffering from insomnia trazodone, light therapy and physical exercise are recommended.

A Clinically Applicable Interactive Micro and Macro-Sleep Staging Algorithm for Elderly and Patients with Neurodegeneration.

Elderly and patients with neurodegenerative diseases (NDD) often complain about sleep problems and show altered sleep structure. Automated algorithms for efficient and specific sleep staging are needed. We propose a new algorithm using only one electroencephalographic and two electrooculographic channels to score wakefulness, rapid eye movement (REM) sleep and non-REM sleep in a cohort of elderly healthy controls (HC), patients with Parkinson's disease (PD), isolated REM sleep behavior disorder (iRBD), considered the prodromal stage of PD, and patients with PD and RBD (PD+RBD). The proposed method scores both standard 30-s epochs (macro-staging) and 5-s mini-epochs (micro-staging), whose evaluation may help to better understand sleep micro-structure. Moreover, the algorithm is interactive, as it labels the classified sleep epochs as either certain or uncertain, so that experts can manually review the uncertain ones. The algorithm performances were evaluated for macro-sleep staging, where it achieved overall accuracies of 0.87±0.05 in 41 HC, 0.86±0.10 in 57 PD, 0.76±0.10 in 31 iRBD and 0.77±0.10 in 30 PD+RBD patients when all 30-s epochs were considered. The accuracies increased to 0.91±0.05, 0.90±0.08, 0.85±0.09, 0.88±0.08 respectively when considering only the certain ones. The epochs labeled as uncertain were 9.95±4.15%, 11.13±7.86%, 18.39±7.38% and 18.90±8.00% in HC, PD, iRBD and PD+RBD respectively. The proposed interactive micro and macro sleep staging algorithm can be used in clinics to reduce the burden of manual sleep staging in elderly and patients with NDD.

Polysomnographic findings in restless legs syndrome (RLS) patients with severe augmentation.

BACKGROUND AND OBJECTIVES: Augmentation can occur frequently in restless legs syndrome (RLS) patients treated with dopaminergic agents. Video-polysomnographic (PSG) data from augmented RLS patients are scant. The aim of this study was to evaluate PSG findings in augmented RLS patients and compare them with those of non-augmented RLS patients. PATIENTS AND METHODS: Valid PSG data were analyzed from 99 augmented and 84 non-augmented RLS inpatients who underwent one night PSG. RESULTS: Both patient groups showed a high subjective burden of RLS symptoms. The mean scores on the International RLS Study Group Rating Scale (IRLS) were significantly higher in the group with augmentation than in the group without. The periodic leg movement index (PLMI) was increased in both groups, mostly on account of the PLM in wakefulness (PLMW). Both groups presented a reduced sleep efficiency and an increased sleep latency. The levodopa equivalent dose (LED) was significantly higher in the augmented group. CONCLUSIONS: Our study confirms that RLS patients with augmentation have disturbed sleep due to high amount of leg movements and fragmented sleep. Overall, however, polysomnographic characteristics were not different between insufficiently treated RLS and severely augmented RLS patients, implying that augmentation could represent a severe form of RLS and not a different phenomenon.

Clinically relevant cut-off values for the Parkinson's Disease Sleep Scale-2 (PDSS-2): a validation study.

BACKGROUND: Sleep disturbances are a major problem encountered by neurologists attending Parkinson's disease (PD) patients. The Parkinson's Disease Sleep Scale-2 (PDSS-2) assesses a wide spectrum of disease-specific sleep problems and is easy to administer as a patient self-rating scale. The validation study showed that the scale is reliable, valid, and precise. Until now, however, only one Japanese study has assessed cut-off scores to define poor sleepers. OBJECTIVES: In this context we aimed to determine the PDSS-2 cut-off values that define a sleep disturbance severe enough to require referral of the patient to a sleep center or the need for specific treatment. METHODS: Inpatients with idiopathic PD consecutively admitted to our hospital were enrolled. Patients completed the PDSS-2. The attending physician, who was blinded to the PDSS-2 results, but familiar with the patients' history and current disease status, completed a questionnaire consisting of two general questions on the presence of PD-specific and non-PD related sleep problems. Statistical analysis was performed to determine cut-off values for the PDSS-2 and correlation with the physician's evaluation of sleep disturbance severity. A natural cohort of non-PD patients with sleep disorders represented the control group. RESULTS: The sample consisted of 52 (56%) men and 41 (44%) women with an average age of 69.22 ± 8.74 years. PDSS-2 showed a sensitivity of 77.6% and a specificity of 74.3% in relation to physician's evaluation of PD-specific sleep problems. According to the physician's evaluation, PD-specific sleep disturbances occurred in 62% of the patients. 83% of patients with PDSS-2 scores ≥18 had clinically relevant sleep disturbances compared to only 33% of PD patients with scores <18. The severity of PD-specific sleep problems was well correlated with the PDSS-2 total score (r = 0.49). CONCLUSIONS: To our knowledge, this is the first study to define PDSS-2 cut-off values for the severity of sleep disturbances in a European PD sample. Our study shows that scores ≥18 define clinically relevant PD-specific sleep disturbances.

Serum Ferritin Levels in Parkinson's Disease Patients with and without Restless Legs Syndrome.

BACKGROUND: The frequency of RLS in Parkinson's disease (PD) patients has been reported to be between 10% and 26%. Several hypotheses have sought to link these two diseases; however, the pathophysiology of RLS in PD patients has yet to be completely defined. Many patients with idiopathic RLS have low serum ferritin levels, which negatively influence RLS symptomatology. Our objective was to investigate the role of iron deficiency in PD patients with and without RLS. METHODS: We consecutively included 42 PD inpatients undergoing pharmacological treatment. Patients with anemia, renal insufficiency, or polyneuropathy were excluded from the study. The control group consisted of 42 PD inpatients without RLS (PD-nonRLS), matched for age and severity of PD. RLS was diagnosed clinically according to diagnostic criteria. Serum ferritin levels were measured at admission for all patients. RESULTS: Mean serum ferritin values were 142.20 ± 91.17 ng/dL for PD patients with RLS (PD+RLS) and 160.65 ± 142.57 ng/dL in PD-nonRLS (P = 0.704). There was no difference concerning the total dopaminergic dose (levodopa equivalent dose) between PD+RLS and PD-nonRLS patients (828.22 ± 389.02 vs. 775.32 ± 324.69 mg; P = 0.501). The frequency of dopamine agonist (DA) use did not differ between the two groups (P = 0.306). CONCLUSIONS: There were no significant differences in serum ferritin levels between PD+RLS and PD-nonRLS in our study. This suggests a different pathophysiology of RLS in PD patients, where iron deficiency is not necessarily observed. DA use was not found to be associated with the occurrence of RLS symptoms.

REM Sleep Behavioral Events and Dreaming.

STUDY OBJECTIVES: To clarify whether motor behaviors and/ or vocalizations during REM sleep, which do not yet fulfill diagnostic criteria for REM sleep behavior disorder (RBD) and were defined as REM sleep behavioral events (RBEs), correspond to dream enactments. METHODS: 13 subjects (10 patients with Parkinson disease [PD] and 3 healthy controls) originally identified with RBE in a prospective study (DeNoPa cohort) were reinvestigated 2 years later with 2 nights of video-supported polysomnography (vPSG). The first night was used for sleep parameter analysis. During the 2nd night, subjects were awakened and questioned for dream recall and dream content when purposeful motor behaviors and/or vocalizations became evident during REM sleep. REM sleep without atonia (RWA) was analyzed on chin EMG and the cutoff set at 18.2% as specific for RBD. RESULTS: At the time of this investigation 9 of 13 subjects with previous RBE were identified with RBD based upon clinical and EMG criteria. All recalled vivid dreams, and 7 subjects were able to describe dream content in detail. Four of 13 subjects with RBE showed RWA values below cutoff values for RBD. Three of these 4 subjects recalled having non-threatening dreams, and 2 (of these 3) were able to describe these dreams in detail. CONCLUSION: RBE with RWA below the RBD defining criteria correlate to dreaming in this selected cohort. There is evidence that RBEs are a precursor to RBD.

Cerebrovascular profile assessment in Parkinson's disease patients.

INTRODUCTION: Parkinson's disease (PD) is one of the most common neurodegenerative diseases, and PD patients can present a variety of comorbidities that increase with age. Among them, cardiovascular and cerebrovascular diseases are the most prominent. AIM: To assess the cardiovascular and cerebrovascular profiles of PD patients. PATIENTS AND METHODS: The cardiovascular risk factors of 126 PD patients were assessed according to laboratory tests (fasting blood sugar, serum cholesterol, triglycerides, and total lipids), Doppler ultrasound examinations and personal histories of cerebrovascular disease (ischemic/hemorrhagic), cardiovascular disease (myocardial infarct or angina confirmed by electrocardiogram), hypertension and diabetes. All patients underwent cerebral structural imaging procedures: computed tomography or magnetic resonance imaging. RESULTS: 58.73% of the patients presented with hypertension, with a slight predominance of female patients (65.38% vs 47.92%, P = 0.05). Carotid or vertebral atheromatosis was present in 39 (30.95%) and 28 (22.22%) of patients, respectively, and was statistically correlated with the presence of ischemic lesions on cerebral imaging. Regarding the computed tomography findings, 33 patients (28.21%) presented with cortical atrophy that was not correlated with any of the investigated cardiovascular factors. CONCLUSIONS: Our findings indicate that risk factors for cardiovascular and cerebrovascular diseases are common in PD patients, possibly due to their older age. The presence of atherosclerosis and its complications can be detected in cerebral imaging studies.