Clinical Characteristics of Involuntary Movement in Hospitalized Patients

Objective Neurological symptoms in hospitalized patients are not rare, and neurological consultation for movement disorders is especially important in evaluating or managing those with various movement disorders. Therefore, we investigated a clinical pattern of in-hospital consultations for various movement disorders in a tertiary care university hospital. Methods Over two years, a total of 202 patients (70.7 ± 11.8 years of age) presenting with movement disorders referred to movement disorder specialists were investigated. Results The main symptoms referred by nonneurologists were tremor (56.9%), parkinsonism (16.8%), and gait disturbance (8.9%). The most frequent diagnostic category was toxic/metabolic-caused movement disorder (T/MCMD) (35%) with regard to medications, followed by Parkinson’s disease (PD) (16%). Regarding the mode of onset, T/MCMD was the leading cause for acute (68%) and subacute onset (46%), while PD was the leading disorder (31%) for chronic onset. Conclusion The current study showed a characteristic pattern of inpatients presenting with movement disorders. Furthermore, our findings highlighted the clinical significance of drug use or metabolic problems for treating this patient population

Clinical Characteristics and Relevance of Dizziness in Patients with de novo Parkinson’s Disease

Background: The purpose of this study was to determine the detailed characteristics of dizziness in patients with de novo Parkinson’s disease (PD) and the clinical implications of dizziness. Methods: Ninety-three people with de novo PD were enrolled between July 2017 and August 2022 for this retrospective study. Using each representative scale, various motor and non-motor symptoms were assessed. In addition, clinical manifestations of dizziness in those patients, including its presence, type, frequency, and duration of occurrence, were investigated. Results: Thirty-nine patients with de novo PD reported dizziness, with presyncope being the most common (38%). The most common frequency was several times a week (51%). The most common duration was a few seconds (67%). Multivariable logistic regression analysis showed that dizziness was more common in women than in men {odds ratio (OR): 3.3601, 95% confidence interval (CI): 1.0820–10.4351, p = 0.0361}. Dizziness was significantly related to non-motor symptoms of low global cognition (OR: 0.8372, 95% CI: 0.7285–0.9622, p = 0.0123) and severe autonomic dysfunction (OR: 1.1112, 95% CI: 1.0297–1.1991, p = 0.0067). A post-hoc analysis revealed that dizziness was only associated with cardiovascular dysautonomia (adjusted OR: 10.2377, 95% CI: 3.3053–31.7098, p < 0.0001) among several domains of dysautonomia. Conclusions: About 42% of patients with de novo PD complained of dizziness. The occurrence of dizziness in those people was highly associated with female gender women, cognitive impairment, and cardiovascular dysautonomia. These results suggest that clinicians should pay close attention when patients with PD complain of dizziness

Comparison of Cerebral Glucose Metabolism between Possible and Probable Multiple System Atrophy

Background: To investigate the relationship between presenting clinical manifestations and imaging features of multisystem neuronal dysfunction in MSA patients, using 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET). Methods: We studied 50 consecutive MSA patients with characteristic brain MRI findings of MSA, including 34 patients with early MSA-parkinsonian (MSA-P) and 16 with early MSA-cerebellar (MSA-C). The cerebral glucose metabolism of all MSA patients was evaluated in comparison with 25 age-matched controls. 18F-FDG PET results were assessed by the Statistic Parametric Mapping (SPM) analysis and the regions of interest (ROI) method. Results: The mean time from disease onset to 18F-FDG PET was 25.9±13.0 months in 34 MSA-P patients and 20.1±11.1 months in 16 MSA-C patients. Glucose metabolism of the putamen showed a greater decrease in possible MSA-P than in probable MSA-P (p=0.031). Although the Unified Multiple System Atrophy Rating Scale (UMSARS) score did not differ between possible MSA-P and probable MSA-P, the subscores of rigidity (p=0.04) and bradykinesia (p= 0.008) were significantly higher in possible MSA-P than in probable MSA-P. Possible MSA-C showed a greater decrease in glucose metabolism of the cerebellum than probable MSA-C (p=0.016). Conclusions: Our results may suggest that the early neuropathological pattern of possible MSA with a predilection for the striatonigral or olivopontocerebellar system differs from that of probable MSA, which has prominent involvement of the autonomic nervous system in addition to the striatonigral or olivopontocerebellar system

A multimodal screening system for elderly neurological diseases based on deep learning

Abstract In this paper, we propose a deep-learning-based algorithm for screening neurological diseases. We proposed various examination protocols for screening neurological diseases and collected data by video-recording persons performing these protocols. We converted video data into human landmarks that capture action information with a much smaller data dimension. We also used voice data which are also effective indicators of neurological disorders. We designed a subnetwork for each protocol to extract features from landmarks or voice and a feature aggregator that combines all the information extracted from the protocols to make a final decision. Multitask learning was applied to screen two neurological diseases. To capture meaningful information about these human landmarks and voices, we applied various pre-trained models to extract preliminary features. The spatiotemporal characteristics of landmarks are extracted using a pre-trained graph neural network, and voice features are extracted using a pre-trained time-delay neural network. These extracted high-level features are then passed onto the subnetworks and an additional feature aggregator that are simultaneously trained. We also used various data augmentation techniques to overcome the shortage of data. Using a frame-length staticizer that considers the characteristics of the data, we can capture momentary tremors without wasting information. Finally, we examine the effectiveness of different protocols and different modalities (different body parts and voice) through extensive experiments. The proposed method achieves AUC scores of 0.802 for stroke and 0.780 for Parkinson’s disease, which is effective for a screening system

Validity and Reliability Study of the Korean Tinetti Mobility Test for Parkinson’s Disease

Objective Postural instability and gait disturbance are the cardinal symptoms associated with falling among patients with Parkinson’s disease (PD). The Tinetti mobility test (TMT) is a well-established measurement tool used to predict falls among elderly people. However, the TMT has not been established or widely used among PD patients in Korea. The purpose of this study was to evaluate the reliability and validity of the Korean version of the TMT for PD patients. Methods Twenty-four patients diagnosed with PD were enrolled in this study. For the interrater reliability test, thirteen clinicians scored the TMT after watching a video clip. We also used the test-retest method to determine intrarater reliability. For concurrent validation, the unified Parkinson’s disease rating scale, Hoehn and Yahr staging, Berg Balance Scale, Timed-Up and Go test, 10-m walk test, and gait analysis by three-dimensional motion capture were also used. We analyzed receiver operating characteristic curve to predict falling. Results The interrater reliability and intrarater reliability of the Korean Tinetti balance scale were 0.97 and 0.98, respectively. The interrater reliability and intra-rater reliability of the Korean Tinetti gait scale were 0.94 and 0.96, respectively. The Korean TMT scores were significantly correlated with the other clinical scales and three-dimensional motion capture. The cutoff values for predicting falling were 14 points (balance subscale) and 10 points (gait subscale). Conclusion We found that the Korean version of the TMT showed excellent validity and reliability for gait and balance and had high sensitivity and specificity for predicting falls among patients with PD

Validity and Reliability Study of the Korean Tinetti Mobility Test for Parkinson’s Disease

Objective Postural instability and gait disturbance are the cardinal symptoms associated with falling among patients with Parkinson’s disease (PD). The Tinetti mobility test (TMT) is a well-established measurement tool used to predict falls among elderly people. However, the TMT has not been established or widely used among PD patients in Korea. The purpose of this study was to evaluate the reliability and validity of the Korean version of the TMT for PD patients. Methods Twenty-four patients diagnosed with PD were enrolled in this study. For the interrater reliability test, thirteen clinicians scored the TMT after watching a video clip. We also used the test-retest method to determine intrarater reliability. For concurrent validation, the unified Parkinson’s disease rating scale, Hoehn and Yahr staging, Berg Balance Scale, Timed-Up and Go test, 10-m walk test, and gait analysis by three-dimensional motion capture were also used. We analyzed receiver operating characteristic curve to predict falling. Results The interrater reliability and intrarater reliability of the Korean Tinetti balance scale were 0.97 and 0.98, respectively. The interrater reliability and intra-rater reliability of the Korean Tinetti gait scale were 0.94 and 0.96, respectively. The Korean TMT scores were significantly correlated with the other clinical scales and three-dimensional motion capture. The cutoff values for predicting falling were 14 points (balance subscale) and 10 points (gait subscale). Conclusion We found that the Korean version of the TMT showed excellent validity and reliability for gait and balance and had high sensitivity and specificity for predicting falls among patients with PD

Validation of the Korean Version of the Scale for Outcomes in Parkinson’s Disease-Autonomic

Objective Autonomic symptoms are commonly observed in patients with Parkinson’s disease (PD) and often limit the activities of daily living. The Scale for Outcomes in Parkinson’s disease-Autonomic (SCOPA-AUT) was developed to evaluate and quantify autonomic symptoms in PD. The goal of this study was to translate the original SCOPA-AUT, which was written in English, into Korean and to evaluate its reliability and validity for Korean PD patients. Methods For the translation, the following processes were performed: forward translation, backward translation, expert review, pretest of the pre-final version and development of the final Korean version of SCOPA-AUT (K-SCOPA-AUT). In total, 127 patients with PD from 31 movement disorder clinics of university-affiliated hospitals in Korea were enrolled in this study. All patients were assessed using the K-SCOPA-AUT and other motor, non-motor, and quality of life scores. Test-retest reliability for the K-SCOPA-AUT was assessed over a time interval of 10−14 days. Results The internal consistency and reliability of the K-SCOPA-AUT was 0.727 as measured by the mean Cronbach’s α-coefficient. The test-retest correlation reliability was 0.859 by the Guttman split-half coefficient. The total K-SCOPA-AUT score showed a positive correlation with other non-motor symptoms [the Korean version of non-motor symptom scale (K-NMSS)], activities of daily living (Unified Parkinson’s Disease Rating Scale part II) and quality of life [the Korean version of Parkinson’s Disease Quality of Life 39 (K-PDQ39)]. Conclusion The K-SCOPA-AUT had good reliability and validity for the assessment of autonomic dysfunction in Korean PD patients. Autonomic symptom severities were associated with many other motor and non-motor impairments and influenced quality of life