Preoperative Electroencephalography-Based Machine Learning Predicts Cognitive Deterioration After Subthalamic Deep Brain Stimulation.

BACKGROUND: Subthalamic deep brain stimulation (STN DBS) may relieve refractory motor complications in Parkinson's disease (PD) patients. Despite careful screening, it remains difficult to determine severity of alpha-synucleinopathy involvement which influences the risk of postoperative complications including cognitive deterioration. Quantitative electroencephalography (qEEG) reflects cognitive dysfunction in PD and may provide biomarkers of postoperative cognitive decline. OBJECTIVE: To develop an automated machine learning model based on preoperative EEG data to predict cognitive deterioration 1 year after STN DBS. METHODS: Sixty DBS candidates were included; 42 patients had available preoperative EEGs to compute a fully automated machine learning model. Movement Disorder Society criteria classified patients as cognitively stable or deteriorated at 1-year follow-up. A total of 16,674 EEG-features were extracted per patient; a Boruta algorithm selected EEG-features to reflect representative neurophysiological signatures for each class. A random forest classifier with 10-fold cross-validation with Bayesian optimization provided class-differentiation. RESULTS: Tweny-five patients were classified as cognitively stable and 17 patients demonstrated cognitive decline. The model differentiated classes with a mean (SD) accuracy of 0.88 (0.05), with a positive predictive value of 91.4% (95% CI 82.9, 95.9) and negative predictive value of 85.0% (95% CI 81.9, 91.4). Predicted probabilities between classes were highly differential (hazard ratio 11.14 [95% CI 7.25, 17.12]); the risk of cognitive decline in patients with high probabilities of being prognosticated as cognitively stable (>0.5) was very limited. CONCLUSIONS: Preoperative EEGs can predict cognitive deterioration after STN DBS with high accuracy. Cortical neurophysiological alterations may indicate future cognitive decline and can be used as biomarkers during the DBS screening. © 2021 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

Predicting Motor Outcome and Quality of Life After Subthalamic Deep Brain Stimulation for Parkinson's Disease: The Role of Standard Screening Measures and Wearable-Data.

BACKGROUND: Standardized screening for subthalamic deep brain stimulation (STN DBS) in Parkinson's disease (PD) patients is crucial to determine eligibility, but its utility to predict postoperative outcomes in eligible patients is inconclusive. It is unknown whether wearable data can contribute to this aim. OBJECTIVE: To evaluate the utility of universal components incorporated in the DBS screening, complemented by a wearable sensor, to predict motor outcomes and Quality of life (QoL) one year after STN DBS surgery. METHODS: Consecutive patients were included in the OPTIMIST cohort study from two DBS centers. Standardized assessments included a preoperative Levodopa Challenge Test (LCT), and questionnaires on QoL and non-motor symptoms including cognition, psychiatric symptoms, impulsiveness, autonomic symptoms, and sleeping problems. Moreover, an ambulatory wearable sensor (Parkinson Kinetigraph (PKG)) was used. Postoperative assessments were similar and also included a Stimulation Challenge Test to determine DBS effects on motor function. RESULTS: Eighty-three patients were included (median (interquartile range) age 63 (56-68) years, 36% female). Med-OFF (Stim-OFF) motor severity deteriorated indicating disease progression, but patients significantly improved in terms of Med-ON (Stim-ON) motor function, motor fluctuations, QoL, and most non-motor domains. Motor outcomes were not predicted by preoperative tests, including covariates of either LCT or PKG. Postoperative QoL was predicted by better preoperative QoL, lower age, and more preoperative impulsiveness scores in multivariate models. CONCLUSION: Data from the DBS screening including wearable data do not predict postoperative motor outcome at one year. Post-DBS QoL appears primarily driven by non-motor symptoms, rather than by motor improvement.

Patient-Related Factors Influencing Caregiver Burden in Parkinson's Disease Patients: Comparison of Effects Before and After Deep Brain Stimulation.

BACKGROUND: Caregivers of Parkinson's disease (PD) patients provide important support during the pre- and postoperative phase of deep brain stimulation (DBS). High levels of caregiver burden have been reported after DBS. However, a comparison between preoperative and postoperative burden and associated factors has been insufficiently studied. OBJECTIVE: To investigate the influence of DBS on caregiver burden, and to identify the differential impact of patient-related factors on caregiver burden before and after DBS. METHODS: Consecutive patients referred for DBS eligibility screening or during one-year follow-up assessments were included. Caregiver burden was measured with the short Zarit Burden Interview (ZBI-12). Inverse Probability Weighting (IPW) was used to compare caregiver burden between preoperative and postoperative assessments. RESULTS: We included 47 patients (24 screening, 23 follow-up) (median age 65 years, 29.4% female sex). DBS did not impact caregiver burden (screening: median ZBI-12 9.5 (IQR 3.25, 16.75); follow-up median ZBI-12 6 (IQR 4, 14); IPW-coefficient 0.57 (95% CI -2.75, 3.89)). Worse caregiver burden during DBS screening was associated with worse patient-related scores on depressive symptoms, anxiety, QoL, and impulsiveness. Worse scores on depressive symptoms, anxiety, apathy, postural-instability-gait-disorder, and QoL were associated with worse caregiver burden at one-year follow-up. CONCLUSION: DBS appears not associated with changes in caregiver burden. Various symptoms are valued differently between screening and follow-up assessments in terms of caregiver burden. Early recognition of caregivers "at risk" may improve guidance of patient-caregiver dyads throughout the DBS process.

Identification of responders to rivastigmine: a prospective cohort study.

BACKGROUND: Although the overall effects of cholinesterase inhibitors (CEIs) are limited, there could be a subpopulation of patients who experience unequivocal benefit. This study aimed to describe a clinical profile based on a combination of specific neuropsychological test scores and clinical symptoms associated with a favourable response to rivastigmine. METHODS: A prospective cohort study was conducted in 53 patients who started rivastigmine treatment. Neuropsychological evaluation was performed at baseline and 6 months of treatment. Patients were labelled responders and non-responders based on change scores after 6 months in 3 clinical domains: cognition, activities of daily living and behaviour. RESULTS: After 6 months 19 responders and 15 non-responders were identified. Variability in reaction time and Continuous Performance Test (CPT) scores differed significantly at baseline between groups. A previously defined cluster of 4 items of the Neuropsychiatric Inventory was correlated with therapeutic response. CONCLUSION: These findings suggest that patients who respond well to CEI therapy can be identified by deficits in attention, combined with a cluster of behavioural symptoms, including hallucinations, apathy, anxiety and psychomotor disturbances. This may constitute the clinical profile of cholinergic deficiency. Further prospective studies in larger populations are warranted to investigate whether this profile can be used to select patients who will benefit from CEIs.

Vascular care in patients with Alzheimer's disease with cerebrovascular lesions-a randomized clinical trial.

OBJECTIVES: To investigate whether vascular care slows dementia progression in patients with Alzheimer's disease with cerebrovascular lesions on neuroimaging. DESIGN: Multicenter randomized controlled clinical trial with 2-year follow-up. SETTING: Neurological and geriatric outpatient clinics in 10 Dutch hospitals: three academic, five teaching, and two midsize community hospitals. PARTICIPANTS: One hundred thirty community-dwelling patients with mild dementia fulfilling clinical criteria for Alzheimer's disease with cerebrovascular lesions on neuroimaging. INTERVENTION: Patients randomized to vascular care were treated according to strict guidelines for hypercholesterolemia and hypertension. Acetylsalicylic acid, folic acid, and pyridoxine were prescribed. During visits every 3 months special attention was paid to smoking cessation, losing weight, and stimulating physical exercise. MEASUREMENTS: Primary outcome was disability, measured according to the Interview for Deterioration in Daily activities in Dementia (IDDD). Secondary outcomes were changes on the Mini-Mental State Examination (MMSE), the Revised Memory and Behavioural Problems Checklist (RMBPC), a composite measure of "poor outcome" (death, institutionalization, or severe clinical decline), and costs. RESULTS: Patients in the vascular and standard care condition declined equally on the IDDD (13.7 vs 11.0 points; difference 2.7, 95% confidence interval = -3.1-8.6). There was no treatment effect on the MMSE or RMBPC. There were no differences in institutionalization rate, "poor outcome" (41.4% vs 35.4%, P=.50), or costs. In the intervention group, there were three intracerebral hemorrhages and one gastrointestinal hemorrhage, versus none in the control group. CONCLUSION: Multicomponent vascular care, combining pharmacological and nonpharmacological interventions, does not slow decline in patients with Alzheimer's disease with cerebrovascular lesions.