Objective Physiotherapy (PT), which is an effective strategy for managing Parkinson’s disease (PD), can influence health care utilization. We analyzed trends in health care utilization, PT interventions, and medical costs among patients with PD.
Methods Using data from the Korean National Health Insurance Service from 2011 to 2020, we analyzed the number of patients with PD and their health care utilization and assessed the odds ratio (OR) for receiving regular PTs.
Results Over 10 years, 169,613 patients with PD were included in the analysis. The number of patients with PD increased annually from 49,417 in 2011 to 91,841 in 2020. The number of patients with PD receiving PT increased from 4,847 (9.81%) in 2011 to 13,163 (14.33%) in 2020, and the number of PT prescriptions increased from 81,220 in 2011 to 377,651 in 2019. Medical costs per patient with PD increased from 1,686 United States dollars (USD) in 2011 to 3,202 USD in 2020. The medical expenses for each patient with PD receiving PT increased from 6,582 USD in 2011 to 13,475 USD in 2020. Moreover, regular PTs were administered to 31,782 patients (18.74%) and were administered only through hospitalization. Those patients in their 50s with disabilities demonstrated a high OR for regular PTs, whereas those aged 80 years or older and residing outside of Seoul had a low OR.
Conclusion The PD burden increased in South Korea between 2011 and 2020, as did health care utilization and medical costs. A significant increase in medical expenses can be associated with increased PD incidence and PT interventions. Regular PT applications remain restricted and have barriers to access.
Funded: Institute for Convergence of Biomedical Science and Technology, Pusan National University Hospital, Korean Healthy Industry Development Institute, Ministry of Health and Welfare
Jinse Park, Eungseok Oh, Seong-Beom Koh, In-Uk Song, Tae-Beom Ahn, Sang Jin Kim, Sang-Myung Cheon, Yoon-Joong Kim, Jin Whan Cho, Hyeo-Il Ma, Mee Young Park, Jong Sam Baik, Phil Hyu Lee, Sun Ju Chung, Jong-Min Kim, Han-Joon Kim, Young-Hee Sung, Do Young Kwon, Jae-Hyeok Lee, Jee-Young Lee, Ji Seon Kim, Ji Young Yun, Hee Jin Kim, Jin Yong Hong, Mi-Jung Kim, Jinyoung Youn, Hui-Jun Yang, Won Tae Yoon, Sooyeoun You, Kyum-Yil Kwon, Su-Yun Lee, Younsoo Kim, Hee-Tae Kim, Joong-Seok Kim, Ji-Young Kim
J Mov Disord. 2024;17(3):328-332. Published online April 3, 2024
Objective The Scales for Outcomes in Parkinson’s Disease–Cognition (SCOPA-Cog) was developed to assess cognition in patients with Parkinson’s disease (PD). In this study, we aimed to evaluate the validity and reliability of the Korean version of the SCOPACog (K-SCOPA-Cog).
Methods We enrolled 129 PD patients with movement disorders from 31 clinics in South Korea. The original version of the SCOPA-Cog was translated into Korean using the translation-retranslation method. The test–retest method with an intraclass correlation coefficient (ICC) and Cronbach’s alpha coefficient were used to assess reliability. Spearman’s rank correlation analysis with the Montreal Cognitive Assessment-Korean version (MOCA-K) and the Korean Mini-Mental State Examination (K-MMSE) were used to assess concurrent validity.
Results The Cronbach’s alpha coefficient was 0.797, and the ICC was 0.887. Spearman’s rank correlation analysis revealed a significant correlation with the K-MMSE and MOCA-K scores (r = 0.546 and r = 0.683, respectively).
Conclusion Our results demonstrate that the K-SCOPA-Cog has good reliability and validity.
Objective Sialidosis type 2 has variants that are both catalytically inactive (severe), while sialidosis type 1 has at least one catalytically active (mild) variant. This study aimed to discuss the structural changes associated with these variants in a newly reported family carrying N-acetyl-α-neuraminidase-1 (NEU1) variants and explore the clinical characteristics of different combinations of variants in sialidosis type 1.
Methods First, whole-exome sequencing and detailed clinical examinations were performed on the family. Second, structural analyses, including assessments of energy, flexibility and polar contacts, were conducted for several NEU1 variants, and a sialidase activity assay was performed. Third, previous NEU1 variants were systematically reviewed, and the clinical characteristics of patients in the severe-mild and mild-mild groups with sialidosis type 1 were analyzed.
Results We report a novel family with sialidosis type 1 and the compound heterozygous variants S182G and V143E. The newly identified V143E variant was predicted to be a mild variant through structural analysis and was confirmed by a sialidase activity assay. Cherry-red spots were more prevalent in the severe-mild group, and ataxia was more common in the mild-mild group. Impaired cognition was found only in the severe-mild group. Moreover, patients with cherry-red spots and abnormal electroencephalographies and visual evoked potentials had a relatively early age of onset, whereas patients with myoclonus had a late onset.
Conclusion Changes in flexibility and local polar contacts may be indicators of NEU1 pathogenicity. Sialidosis type 1 can be divided into two subgroups according to the variant combinations, and patients with these two subtypes have different clinical characteristics.
Funded: National Research Foundation of Korea, Ministry of Science and ICT, Korea Health Industry Development Institute, Ministry of Health and Welfare
Objective Fatigue is a common, debilitating nonmotor symptom of Parkinson’s disease (PD), but its mechanism is poorly understood. We aimed to determine whether electroencephalography (EEG) could objectively measure fatigue and to explore the pathophysiology of fatigue in PD.
Methods We studied 32 de novo PD patients who underwent EEG. We compared brain activity between 19 PD patients without fatigue and 13 PD patients with fatigue via EEG power spectra and graphs, including the global efficiency, characteristic path length, clustering coefficient, small-worldness, local efficiency, degree centrality, closeness centrality, and betweenness centrality.
Results No significant differences in absolute or relative power were detected between PD patients without or with fatigue (all p > 0.02, Bonferroni-corrected). According to our network analysis, brain network efficiency differed by frequency band. Generally, the brain network in the frontal area for theta and delta bands showed greater efficiency, and in the temporal area, the alpha1 band was less efficient in PD patients without fatigue (p < 0.0001, p = 0.0011, and p = 0.0007, respectively, Bonferroni-corrected).
Conclusion Our study suggests that PD patients with fatigue have less efficient networks in the frontal area than PD patients without fatigue. These findings may explain why fatigue is common in PD, a frontostriatal disorder. Increased efficiency in the temporal area in PD patients with fatigue is assumed to be compensatory. Brain network analysis using graph theory is more valuable than power spectrum analysis in revealing the brain mechanism related to fatigue.
Objective Emerging evidence suggests that air pollution exposure may increase the risk of Parkinson’s disease (PD). We aimed to investigate the association between exposure to fine particulate matter (PM2.5) and the risk of incident PD nationwide.
Methods We utilized data from the Taiwan National Health Insurance Research Database, which is spatiotemporally linked with air quality data from the Taiwan Environmental Protection Administration website. The study population consisted of participants who were followed from the index date (January 1, 2005) until the occurrence of PD or the end of the study period (December 31, 2017). Participants who were diagnosed with PD before the index date were excluded. To evaluate the association between exposure to PM2.5 and incident PD risk, we employed Cox regression to estimate the hazard ratio and 95% confidence interval (CI).
Results A total of 454,583 participants were included, with a mean (standard deviation) age of 63.1 (9.9) years and a male proportion of 50%. Over a mean follow-up period of 11.1 (3.6) years, 4% of the participants (n = 18,862) developed PD. We observed a significant positive association between PM2.5 exposure and the risk of PD, with a hazard ratio of 1.22 (95% CI, 1.20–1.23) per interquartile range increase in exposure (10.17 μg/m3) when adjusting for both SO2 and NO2.
Conclusion We provide further evidence of an association between PM2.5 exposure and the risk of PD. These findings underscore the urgent need for public health policies aimed at reducing ambient air pollution and its potential impact on PD.
Tremulous Dystonia Due to GNAL Haploinsufficiency Caused by 18p Deletion Syndrome Arianna Braccia, Miryam Carecchio, Francesca Luisa Sciacca, Anna Castagna, Antonio Emanuele Elia, Luigi Michele Romito Journal of Movement Disorders.2024; 17(3): 354. CrossRef
Funded: Ministry of Higher Education Malaysia, University of Malaya Parkinson’s Disease, Ministry of Health’s National Medical Research Council, Ministry of Education , Open Fund Large Collaborative, Singapore Translational Research, Clinician-Scientist Award, Precision Medicine Research, Singapore
Lysosomal dysfunction plays an important role in neurodegenerative diseases, including Parkinson’s disease (PD) and possibly Parkinson-plus syndromes such as progressive supranuclear palsy (PSP). This role is exemplified by the involvement of variants in the GBA1 gene, which results in a deficiency of the lysosomal enzyme glucocerebrosidase and is the most frequently identified genetic factor underlying PD worldwide. Pathogenic variants in the SMPD1 gene are a recessive cause of Niemann–Pick disease types A and B. Here, we provide the first report on an association between a loss-of-function variant in the SMPD1 gene present in a heterozygous state (p.Pro332Arg/p.P332R, which is known to result in reduced lysosomal acid sphingomyelinase activity), with PSP-Richardson syndrome in three unrelated patients of Chinese ancestry.
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Parkinson’s Disease is Predominantly a Genetic Disease Shen-Yang Lim, Christine Klein Journal of Parkinson's Disease.2024; 14(3): 467. CrossRef
Identification of Genetic Variants in Progressive Supranuclear Palsy in Southeast Asia Adeline Su Lyn Ng, Ai Huey Tan, Yi Jayne Tan, Jia Lun Lim, Michelle Mulan Lian, Alfand Marl Dy Closas, Azlina Ahmad‐Annuar, Shanthi Viswanathan, Yuen Kang Chia, Jia Nee Foo, Weng Khong Lim, Eng‐King Tan, Shen‐Yang Lim Movement Disorders.2024;[Epub] CrossRef
Kyeongmin Baek, Young Min Kim, Han Kyu Na, Junki Lee, Dong Ho Shin, Seok-Jae Heo, Seok Jong Chung, Kiyong Kim, Phil Hyu Lee, Young H. Sohn, Jeehee Yoon, Yun Joong Kim
J Mov Disord. 2024;17(2):171-180. Published online February 13, 2024
Funded: Korea Health Industry Development Institute, Ministry of Health and Welfare, National Research Foundation of Korea, Ministry of Science and ICT
Objective The Montreal Cognitive Assessment (MoCA) is recommended for general cognitive evaluation in Parkinson’s disease (PD) patients. However, age- and education-adjusted cutoffs specifically for PD have not been developed or systematically validated across PD cohorts with diverse education levels.
Methods In this retrospective analysis, we utilized data from 1,293 Korean patients with PD whose cognitive diagnoses were determined through comprehensive neuropsychological assessments. Age- and education-adjusted cutoffs were formulated based on 1,202 patients with PD. To identify the optimal machine learning model, clinical parameters and MoCA domain scores from 416 patients with PD were used. Comparative analyses between machine learning methods and different cutoff criteria were conducted on an additional 91 consecutive patients with PD.
Results The cutoffs for cognitive impairment decrease with increasing age within the same education level. Similarly, lower education levels within the same age group correspond to lower cutoffs. For individuals aged 60–80 years, cutoffs were set as follows: 25 or 24 years for those with more than 12 years of education, 23 or 22 years for 10–12 years, and 21 or 20 years for 7–9 years. Comparisons between age- and education-adjusted cutoffs and the machine learning method showed comparable accuracies. The cutoff method resulted in a higher sensitivity (0.8627), whereas machine learning yielded higher specificity (0.8250).
Conclusion Both the age- and education-adjusted cutoff methods and machine learning methods demonstrated high effectiveness in detecting cognitive impairment in PD patients. This study highlights the necessity of tailored cutoffs and suggests the potential of machine learning to improve cognitive assessment in PD patients.
Objective Huntington’s disease (HD) is an autosomal dominant, fully penetrant, neurodegenerative disease that most commonly affects middle-aged adults. HD is caused by a CAG repeat expansion in the HTT gene, resulting in the expression of mutant huntingtin (mHTT). Our aim was to detect and quantify mHTT in tear fluid, which, to our knowledge, has never been measured before.
Methods We recruited 20 manifest and 13 premanifest HD gene expansion carriers, and 20 age-matched controls. All patients underwent detailed assessments, including the Unified Huntington’s Disease Rating Scale (UHDRS) total motor score (TMS) and total functional capacity (TFC) score. Tear fluid was collected using paper Schirmer’s strips. The level of tear mHTT was determined using single-molecule counting SMCxPRO technology.
Results The average tear mHTT levels in manifest (67,223 ± 80,360 fM) and premanifest patients (55,561 ± 45,931 fM) were significantly higher than those in controls (1,622 ± 2,179 fM). We noted significant correlations between tear mHTT levels and CAG repeat length, “estimated years to diagnosis,” disease burden score and UHDRS TMS and TFC. The receiver operating curve demonstrated an almost perfect score (area under the curve [AUC] = 0.9975) when comparing controls to manifest patients. Similarly, the AUC between controls and premanifest patients was 0.9846. The optimal cutoff value for distinguishing between controls and manifest patients was 4,544 fM, whereas it was 6,596 fM for distinguishing between controls and premanifest patients.
Conclusion Tear mHTT has potential for early and noninvasive detection of alterations in HD patients and could be integrated into both clinical trials and clinical diagnostics.
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Unveiling brain disorders using liquid biopsy and Raman spectroscopy Jeewan C. Ranasinghe, Ziyang Wang, Shengxi Huang Nanoscale.2024; 16(25): 11879. CrossRef
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Objective Exercise can improve both motor and nonmotor symptoms in people with Parkinson’s disease (PwP), but there is an unmet need for accessible and sustainable exercise options. This study aimed to evaluate the effect, feasibility, and safety of a regularly performed live-streaming tele-exercise intervention for PwP.
Methods A live-streaming exercise intervention for PwP was implemented twice a week for 12 weeks. We measured the motor and nonmotor symptom scores of the included patients before and after the intervention. Changes in clinical scores from baseline to postintervention were analyzed using paired t-tests. Factors associated with improvements in clinical scores and compliance were analyzed using Pearson’s correlation analysis.
Results Fifty-six participants were enrolled in the study. There were significant improvements in Hospital Anxiety and Depression Scale (HADS)-anxiety (p = 0.007), HADS-depression (p < 0.001), Unified Parkinson’s Disease Rating Scale (UPDRS) part III (p < 0.001), UPDRS total (p = 0.015), Hoehn and Yahr stage (p = 0.027), and Parkinson’s Disease Fatigue Scale-16 (p = 0.026) scores after the intervention. Improvements in motor symptoms were associated with improvements in mood symptoms and fatigue. Higher motor impairment at baseline was associated with a greater compliance rate and better postintervention composite motor and nonmotor outcomes (ΔUPDRS total score). Overall, the 12-week tele-exercise program was feasible and safe for PwP. No adverse events were reported. The overall adherence rate was 60.0% in our cohort, and 83.4% of the participants were able to participate in more than half of the exercise routines.
Conclusion The live-streaming tele-exercise intervention is a safe, feasible, and effective nonpharmacological treatment option that can alleviate fatigue and improve mood and motor symptoms in PwP.