Impact of subjective dizziness on motor and non-motor symptoms in patients with early stages of Parkinson's disease.

Clinicians sometimes encounter patients with Parkinson's disease complaining of dizziness in real clinical settings. We sought to identify the relationship between self-perceived dizziness and motor or non-motor symptoms, especially in Parkinsonian patients in the early stages. Eight-six patients with less than five years of Parkinson's disease duration were recruited. We used the dizziness handicap inventory to access self-reported dizziness in patients with early Parkinson's disease. Parkinsonian motor symptoms such as postural instability and gait difficulty and non-motor features for global cognitive function, depressive mood, anxiety state, fatigue state, and autonomic dysfunction were measured using representative scales. Linear regression analysis demonstrated that the dizziness handicap inventory score was significantly related to postural instability and gait difficulty, anxiety, gastrointestinal, and cardiovascular domain of dysautonomia. In addition, the dizziness handicap inventory score was positively correlated with scores for postural instability and gait difficulty, anxiety, gastrointestinal, and cardiovascular dysautonomia. We found that self-reported dizziness was highly linked to postural instability and gait difficulty, anxiety, gastrointestinal and cardiovascular dysfunctions in patients with early Parkinson's disease. Further follow-up studies on the association between dizziness and the pathophysiology of Parkinson's disease are needed.

Underweight predicts poststroke cardiovascular events in patients without atrial fibrillation.

BACKGROUND AND PURPOSE: The purpose of this study was to determine whether underweight is associated with poststroke cardiovascular events and whether such association is different according to the presence of atrial fibrillation (AF). METHODS: Patients with acute stroke or transient ischemic attack who were prospectively registered in a multicenter stroke database from April 2008 to July 2020 were analyzed, excluding those aged 75 or older and those who were overweight. We prospectively captured major adverse cardiovascular events (MACE) within one year after stroke. Cox-proportional hazard regression analysis was conducted for each subgroup with or without AF after adjusting for predetermined vascular risk factors and potential confounders. RESULTS: Among 30,912 patients, 1494 (4.8%) cases were underweight and 29,418 (95.2%) cases were normal weight. The cumulative event rate of 1-year MACE was higher in the underweight group (9.0%) than in the normal weight group (5.6%). In Cox-proportional regression, underweight was associated with significantly higher MACE (adjusted hazard ratio [HR]: 1.62, 95% confidence interval [CI]: 1.26-2.09) and recurrent stroke (adjusted HR: 1.42, 95% CI: 1.02-1.98) in all study patients. In patients with AF, the risk of MACE for the underweight group was not significantly increased. In contrast, in patients without AF, the underweight group had a consistently higher risk of MACE (adjusted HR: 1.66, 95% CI: 1.25-2.22) and recurrent stroke (adjusted HR: 1.50, 95% CI: 1.05-2.14). CONCLUSIONS: Underweight increased the risk of MACE and recurrent stroke within one year after acute stroke, especially in stroke without AF.

Recent glycemic control can predict the progressive motor deficits of acute subcortical infarction with diabetes or prediabetes.

BACKGROUND AND PURPOSE: The predictors of progressive motor deficits in acute subcortical infarctions are still controversial. It is not known whether glycemic control influences on stroke progression. METHODS: A total of 268 consecutive patients with diabetes or prediabetes who had acute (< 24 h) subcortical infarction were enrolled. (1) All patients were divided into 4 groups by quartile of glycated hemoglobin (HbA1c). (2) Only the patients with diabetes were divided by effective glycemic control. Progressive motor deficits were prospectively captured and defined as an increase of motor score ≥ 1 on the upper or lower limb items of the National Institute of Health Stroke Scale within 72 h from stroke onset. RESULTS: Progressive motor deficits occur in 8/78 (10.3%) for ≤ 5.9, 15/61 (24.6%) for 6.0-6.4, 16/62 (25.8%) for 6.5-7.4, and 30/67 (44.8%) for ≥ 7.5. In diabetic patients alone, those occur in 5/37 (13.5%) for ≤ 6.5, 10/42 (23.8%) for 6.6-7.0, 12/42 (28.6%) for 7.1-8.0, and 24/50 (48.0%) for ≥ 8.1. An adjusted OR of progressive motor deficits was 2.61 (95% confidence interval [CI] 0.98-7.00, P = .056) for 6.0-6.4, 3.42 (95% CI 1.27-9.18, P = .015) for 6.5-7.4, and 6.65 (95% CI 2.38-18.62, P < .001) for ≥ 7.5. In diabetic patients alone, those were 3.15 (95% CI 0.89-11.15, P = .075) for 6.6-7.0, 2.90 (95% CI 0.79-10.61, P = .107) for 7.1-8.0, and 4.17 (95% CI 1.07-16.25, P = .038) for ≥ 8.1. The optimal cutoff value of HbA1c was 6.65% in discriminating progressive motor deficits. CONCLUSION: Increased HbA1c was associated with higher incidence of progressive motor deficits in acute subcortical infarction with diabetes and prediabetes.

Detailed visual assessment of striatal dopaminergic depletion in patients with idiopathic normal pressure hydrocephalus: unremarkable or not?

BACKGROUND: Dopamine transporter (DAT) imaging may enable clinicians to discriminate idiopathic normal pressure hydrocephalus (iNPH) from other parkinsonian disorders. However, a specific pattern of dopaminergic loss in DAT imaging of iNPH patients remains to be further elucidated. METHODS: In this preliminary study, 11 patients with iNPH in our hospital between March 2017 and February 2019 were finally enrolled. A diagnosis of iNPH was made according to the two established criteria. For visual analysis of DAT imaging, a striatum was divided into five domains. A semi-quantitative visual assessment was performed with a consensus between a nuclear medicine specialist and an experienced neurologist who were blinded to the clinical diagnosis. RESULTS: Striatal dopaminergic deficits were abnormal in 90.9% (10/11) of patients with iNPH. The degree of dopaminergic reduction was mild and heterogeneous. However, a tendency of preferential striatal DAT loss in the caudate nucleus (90.9%, 10/11) than in the putamen (72.7%, 8/11) was observed, whereas ventral portion (9.1%, 1/11) was relatively preserved. CONCLUSION: Striatal dopaminergic depletion might be mild and heterogeneous in patients with iNPH. These dopaminergic deficits were more common in the caudate nucleus than in the putamen, suggesting a pattern different from other degenerative parkinsonian disorders.

A Case Report of Wall-Eyed Bilateral Internuclear Ophthalmoplegia with Bilateral Facial Palsy.

Case reports of bilateral facial palsy with horizontal gaze restriction are rare. A 62-year-old woman experienced sudden onset of bilateral adduction deficits, bilateral abducting nystagmus accompanied with facial diplegia. We confirmed acute ischemic stroke in the midline dorsal pons, where medial longitudinal fasciculus (MLF) and facial nerve fascicles are located. This can be explained by vascular variation of pontine perforating arteries.

Usefulness of the MFIS-K, FSS, and FACIT-F Fatigue Scales in Korean Patients With MS, NMOSD, and MOGAD.

BACKGROUND AND PURPOSE: Fatigue is common in demyelinating disorders of the central nervous system (CNS), including multiple sclerosis (MS), neuromyelitis optica spectrum disorder (NMOSD), and myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD). We aimed to validate the usefulness of the Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-F) and the Fatigue Severity Scale (FSS) relative to the Korean version of the Modified Fatigue Impact Scale (MFIS-K) in Korean patients with MS, NMOSD, and MOGAD. METHODS: There were 294 patients with MS (n=120), NMOSD (n=103), or MOGAD (n=71) enrolled in a prospective demyelinating CNS registry. Fatigue was measured using the FACIT-F, MFIS-K, and FSS. Sleep quality, quality of life, depression, and pain were evaluated using the Pittsburgh Sleep Quality Index (PSQI), 36-item Short-Form Survey (SF-36), and Beck Depression Inventory-II (BDI-II). RESULTS: The MFIS-K, FACIT-F, and FSS scores showed high internal consistencies and strong correlations with each other in the MS, NMOSD, and MOGAD groups. The scores on all three fatigue scales were correlated with PSQI, SF-36, and BDI-II results in the three groups. The areas under the receiver operating characteristic curves for the FSS and FACIT-F were 0.834 and 0.835, respectively, for MS, 0.877 and 0.833 for NMOSD, and 0.925 and 0.883 for MOGAD. CONCLUSIONS: These results suggest that the MFIS-K, FSS, and FACIT-F are useful and valuable assessment instruments for evaluating fatigue in Korean patients with MS, NMOSD, and MOGAD.

Evaluation of SARS-CoV-2 Vaccine-Induced Antibody Responses in Patients with Neuroimmunological Disorders: A Real-World Experience.

This study evaluates the antibody responses to SARS-CoV-2 vaccines in patients with neuroimmunological disorders (pwNID) who are receiving immunomodulating treatments, compared to healthy individuals. It included 25 pwNID with conditions such as optic neuritis, neuromyelitis optica spectrum disorder, multiple sclerosis, myasthenia gravis, and polymyositis, as well as 56 healthy controls. All participants had completed their full SARS-CoV-2 vaccination schedule, and their blood samples were collected within six months of their last dose. The concentration of anti-SARS-CoV-2 IgG antibodies was measured using an enzyme-linked immunosorbent assay. The results showed that pwNID had significantly lower antibody titers (58.4 ± 49.2 RU/mL) compared to healthy individuals (81.7 ± 47.3 RU/mL). This disparity persisted even after adjusting for age and the interval between the final vaccination and sample collection. A notable correlation was found between the use of immunomodulating treatments and reduced antibody levels, whereas mRNA vaccines were linked to higher antibody concentrations. The conclusion of this study is that immunomodulating treatments may reduce the effectiveness of SARS-CoV-2 vaccines in pwNID. This insight is crucial for healthcare providers in designing vaccination strategies and managing treatment plans for pwNID on immunomodulating therapies, highlighting the need for personalized approaches in this subgroup.

Differentiation between multiple sclerosis and neuromyelitis optica spectrum disorder using a deep learning model.

Multiple sclerosis (MS) and neuromyelitis optica spectrum disorder (NMOSD) are autoimmune inflammatory disorders of the central nervous system (CNS) with similar characteristics. The differential diagnosis between MS and NMOSD is critical for initiating early effective therapy. In this study, we developed a deep learning model to differentiate between multiple sclerosis (MS) and neuromyelitis optica spectrum disorder (NMOSD) using brain magnetic resonance imaging (MRI) data. The model was based on a modified ResNet18 convolution neural network trained with 5-channel images created by selecting five 2D slices of 3D FLAIR images. The accuracy of the model was 76.1%, with a sensitivity of 77.3% and a specificity of 74.8%. Positive and negative predictive values were 76.9% and 78.6%, respectively, with an area under the curve of 0.85. Application of Grad-CAM to the model revealed that white matter lesions were the major classifier. This compact model may aid in the differential diagnosis of MS and NMOSD in clinical practice.

Novel index, neutrophil percentage (%) is a useful marker for disease activity in MOG antibody-associated disease.

BACKGROUND: Myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) is a CNS autoimmune disease affecting the brain, spinal cord, and optic nerve. The neutrophil-to-lymphocyte ratio (NLR) is related to autoimmune disease activity. However, the clinical implication of index ratios such as the NLR is unclear in patients with MOGAD. OBJECTIVES: We investigated the relationship between index ratios such as the NLR and disease activity and disability to discover the index that best correlates with an attack in MOGAD. METHODS: Using a CNS demyelinating disease cohort, we reviewed 39 patients with MOGAD (age 37.4 ± 12.0 years; F:M = 20:19) who had 390 blood samples available for cell count analysis. We calculated the NLR, eosinophil-to-lymphocyte-ratio (ELR), platelet-to-lymphocyte-ratio (PLR), monocyte-to-lymphocyte ratio (MLR), basophil-to-lymphocyte ratio (BLR), and neutrophil percentage (N%) [neutrophil count (/mm3) / WBC (/mm3) x 100 (%)]. We investigated the associations between each index ratio and disease activity and disability using the receiver operating characteristic (ROC) curve, machine learning program (kNN algorithm), and generalized estimating equations (GEE) analysis. RESULTS: In patients with MOGAD, the NLR, PLR, and N% were higher and ELR was lower during an attack than in remission (all p<0.001). The areas under the ROC curve for the NLR, ELR, PLR, and N% were 0.68, 0.69, 0.61, and 0.68, respectively, with the highest sensitivity of 76.0% in the ELR and the highest specificity of 76.3% in the N%. The classification accuracy scores of the kNN machine learning algorithm were 71% for the NLR, 62% for the ELR, 63% for the PLR, and 72% for the N%. In the GEE analysis of attack samples, both the NLR and treatment-naive had positive associations with the Expanded Disability Status Scale (EDSS) score (ß=0.137, p = 0.008 and ß=1.142, p = 0.003, respectively), and the PLR was negatively associated with the EDSS score (ß=-0.004, p = 0.022). DISCUSSION: Our study suggests that the novel index, neutrophil% is the simplest and the most useful marker to differentiate between attack and remission and shows comparable reliability with NLR in MOGAD. Moreover, the NLR and PLR could be used as supportive biomarkers for disease disability during an attack in patients with MOGAD.

Clinical characteristics of myelin oligodendrocyte glycoprotein antibody-associated disease according to their epitopes.

Background: The detection of myelin oligodendrocyte glycoprotein autoantibodies (MOG-Ab) is essential for the diagnosis of MOG-Ab-associated disease (MOGAD). The clinical implications of different epitopes recognized by MOG-Ab are largely unknown. In this study, we established an in-house cell-based immunoassay for detecting MOG-Ab epitopes and examined the clinical characteristics of patients with MOG-Ab according to their epitopes. Methods: We conducted a retrospective review of patients with MOG-Ab-associated disease (MOGAD) in our single center registry, and collected serum samples from enrolled patients. Human MOG variants were generated to detect epitopes recognized by MOG-Ab. The differences in clinical characteristics according to the presence of reactivity to MOG Proline42 (P42) were evaluated. Results: Fifty five patients with MOGAD were enrolled. Optic neuritis was the most common presenting syndrome. The P42 position of MOG was a major epitope of MOG-Ab. The patients with a monophasic clinical course and childhood-onset patients were only observed in the group that showed reactivity to the P42 epitope. Conclusion: We developed an in-house cell-based immunoassay to analyze the epitopes of MOG-Ab. The P42 position of MOG is the primary target of MOG-Ab in Korean patients with MOGAD. Further studies are needed to determine the predictive value of MOG-Ab and its epitopes.

Characteristics of SiO2/Si3N4/SiO2 stacked-gate dielectrics obtained via atomic-layer deposition.

An interpoly-stacked dielectric film with a SiO2/Si3N4/SiO2/Si (ONO) structure was prepared via the atomic-layer deposition method. The multilayer structure of the ONO film with triple interfaces was investigated via medium-energy ion scattering (MEIS). A few defects in the interface layer of the ONO structure were detected. From the X-ray photoelectron spectroscopy (XPS) results, it was presumed that the interface layer with defects in the MEIS result is due to the formation of an oxynitride layer on the unstable and rougher Si3N4 layer via. By measuring the I-V characteristics, the leakage current density and breakdown field of the ONO film were determined to be 3.4 x 10(-9) A/cm2 and 10.86 MV/cm, respectively. By estimation the C-V curve, the flat band (V(FB)) of the ONO film shifted to a negative voltage (-1.14 V), the dielectric constant (K(ONO)) of the ONO film was 5.79, and the effective interface-trapped charge density of the ONO film was about 4.96 x 10(11)/cm2.

Statistical and Reliability Study on Shear Strength of Recycled Coarse Aggregate Reinforced Concrete Beams.

The consumption of structural concrete in the construction industry is rapidly growing, and concrete will remain the main construction material for increasing urbanization all over the world in the near future. Meanwhile, construction and demolition waste from concrete structures is also leading to a significant environmental problem. Therefore, a proper sustainable solution is needed to address this environmental concern. One of the solutions can be using recycled coarse aggregates (RCA) in reinforced concrete (RC) structures. Extensive research has been conducted in this area in recent years. However, the usage of RCA concrete in the industry is still limited due to the absence of structural regulations appropriate to the RCA concrete. This study addresses a safety margin of RCA concrete beams in terms of shear capacity which is comparable to natural coarse aggregates (NCA) concrete beams. To this end, a database for reinforced concrete beams made of recycled coarse aggregates with and without shear reinforcement was established, collecting the shear specimens available from various works in the existing literature. The database was used to statistically identify the strength margin between RCA and NCA concrete beams and to calculate its safety margin based on reliability analysis. Moreover, a comparability study of RCA beams was conducted with its control specimens and with a database for conventional RC beams.

Association of fall risk factors and non-motor symptoms in patients with early Parkinson's disease.

The association of non-motor symptoms (NMSs) with fall-related factors in patients with Parkinson's disease (PD) remains to be further elucidated in the early stages of the disease. Eighty-six patients with less than 5 years of the onset of PD were retrospectively enrolled in the study. We assessed potential fall-related risk factors including (1) a history of falls during the past year (faller versus non-faller), (2) the fear of falling (FoF), and (3) the freezing of gait (FoG). Different types of NMSs were measured using the Montreal Cognitive Assessment (MoCA), the Beck Depression Inventory (BDI), the Beck Anxiety Inventory (BAI), the Parkinson's disease Fatigue Scale (PFS), and the Scales for Outcomes in Parkinson's disease-Autonomic dysfunction (SCOPA-AUT). The faller group (37.2%) showed higher scores for BDI, BAI, PFS, and SCOPA-AUT, compared to the non-faller group. From logistic regression analyses, the prior history of falls was related to the gastrointestinal domain of SCOPA-AUT, FoF was associated with BAI, and gastrointestinal and urinary domains of SCOPA-AUT, and FoG was linked to BAI and gastrointestinal domain of SCOPA-AUT. In conclusion, we found that fall-related risk factors in patients with early PD were highly connected with gastrointestinal dysautonomia.

Impact of motor subtype on non-motor symptoms and fall-related features in patients with early Parkinson's disease.

AIM: Clinical implications for motor phenotypes of Parkinson's disease (PD) remain to be further elucidated, particularly at the early stages of the disease. We aimed to compare the non-motor and fall-related features between tremor-dominant (TD) and postural instability-gait difficulty (PIGD) subtypes in patients with early PD. METHODS: PD was categorized into TD, intermediate and PIGD types, according to the literature. Not only motor symptoms, but also non-motor symptoms for global cognition, depression, anxiety, fatigue and dysautonomia, were measured in detail. In addition, fall-related features, including a previous history of falls, fear of fall measurement and gait freezing were assessed. RESULTS: In patients with early PD (disease duration no more than 5 years), 35 patients with TD-type PD and 31 patients with PIGD-type PD were finally evaluated for the study. Compared with the TD group, the PIGD group showed higher fatigue, gastrointestinal dysfunction and fall-related parameter scores. Moreover, the PIGD scores were significantly correlated with all of those symptoms. CONCLUSIONS: Our findings suggest that PIGD is significantly linked to fatigue, gastrointestinal dysfunction and fall-related features during the early stages of PD. Geriatr Gerontol Int 2021; 21: 416-420.

Risk Factors for Falls in Patients with de novo Parkinson's Disease: A Focus on Motor and Non-Motor Symptoms.

OBJECTIVE: We aimed to identify risk factors for falls in patients with de novo Parkinson's disease (PD). METHODS: Forty-six patients with de novo PD were retrospectively included in the study. We assessed details on the patients' motor symptoms as well as non-motor symptoms using several representative scales for global cognition, depression, fatigue, and dysautonomia. Fallers and non-fallers were identified according to their history of falls during the preceding year. RESULTS: Twenty-two patients (45.8%) with de novo PD had a history of falls. Compared with the non-faller group, the faller group exhibited higher scores for postural instability/gait difficulty (PIGD), anxiety, fatigue, total dysautonomia, gastrointestinal dysfunction, and thermoregulatory dysfunction. Moreover, logistic regression analysis showed that falling was positively correlated with anxiety and gastrointestinal symptoms but negatively associated with the tremor scores. CONCLUSION: Our findings suggest that falling in patients with de novo PD is significantly associated with PIGD/non-tremor symptoms, anxiety, and gastrointestinal dysfunction.

Dizziness in patients with early stages of Parkinson's disease: Prevalence, clinical characteristics and implications.

AIM: The clinical features and implications of dizziness in patients with Parkinson's disease (PD) remain little known. This study aimed to investigate the clinical characteristics of dizziness, and the association of dizziness with motor and non-motor symptoms in early stages of PD. METHODS: Demographics and clinical characteristics of patients with early PD (disease duration ≤5 years) were retrospectively assessed. The characteristics of dizziness were surveyed in each parkinsonian patient according to existence, frequency, duration and nature. Not only motor symptoms, but also non-motor scales for global cognition, anxiety, depression and fatigue were evaluated to identify risk factors of dizziness. RESULTS: Of a total of 80 patients with early PD, 37 (46.3%) had dizziness. The characteristics of dizziness included short duration (seconds to minutes) and frequent occurrence (several times in a day or a week). The most common type of dizziness was orthostatic (40.5%), followed by non-specific and disequilibrium type. Among many scales for motor and non-motor symptoms, dizzy patients with early PD showed lower scores of Montreal Cognitive representing global cognition than non-dizzy people. A lower Montreal Cognitive Assessment score was the only factor significantly related to dizziness in patients with early PD. CONCLUSIONS: We found that dizziness frequently occurs in early parkinsonian patients. It is highly linked to low Montreal Cognitive Assessment scores in patients with early PD, inferring that dizziness might be a potential non-motor symptom associated with cognitive decline in PD. Geriatr Gerontol Int 2020; 20: 443-447.