12 research outputs found

    sj-pdf-1-nnr-10.1177_15459683211070278 – Supplemental Material for Multimodal Imaging Biomarker-Based Model Using Stratification Strategies for Predicting Upper Extremity Motor Recovery in Severe Stroke Patients

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    Supplemental Material, sj-pdf-1-nnr-10.1177_15459683211070278 for Multimodal Imaging Biomarker-Based Model Using Stratification Strategies for Predicting Upper Extremity Motor Recovery in Severe Stroke Patients by Jungsoo Lee, Heegoo Kim, Jinuk Kim, Won Hyuk Chang, and Yun-Hee Kim in Neurorehabilitation and Neural Repair</p

    Reliability and validity of the Korean version of the Functional Status Score for the ICU after translation and cross-cultural adaptation

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    The Functional Status Score for the Intensive Care Unit (FSS-ICU) evaluates the physical function of ICU patients. The objective of the study was to translate and cross-culturally adapt the FSS-ICU into Korean and assess its reliability and validity. An expert committee supervised the forward and backward translation process and the final translated version. Experienced physiotherapists assessed patients (n= 31) from a medical ICU using the Korean version of FSS-ICU. Intra-class correlation coefficients (ICCs) and Bland–Altman’s plots were used to evaluate reliability, and Cronbach’s alpha for internal consistency. Construct validity was evaluated using Spearman’s correlation coefficients. Two physiotherapists in each of the two university hospitals independently assessed 31 medical ICU patients, with a mean FSS-ICU total score of 23 (range: 4–35). The FSS-ICU Korean version demonstrated excellent internal consistency, with Cronbach’s alpha of 0.897 for the total FSS-ICU score, and a range of 0.844–0.892 with deletion of each individual activity within the FSS-ICU. Intra-rater and inter-rater reliability were excellent for all of five FSS-ICU activities and the total score, with an ICC range of 0.930–0.993. Bland–Altman’s plots revealed a mean difference in FSS-ICU total score of 0.2 (95% limits of agreement: −1.9 to 2.3) between two physiotherapists. The Korean version of FSS-ICU had good convergent and divergent validity with moderate to strong correlation with mobility and muscle strength measures, and poor correlation with unrelated measures. The Korean version of the FSS-ICU showed excellent intra-rater and inter-rater reliability, internal consistency, and construct validity for medical ICU patients. The results of this study, along with prior publications, support that the FSS-ICU Korean version is a valid and reliable assessment tool for the ICU environment.Implications for rehabilitationIntensive care unit patients usually experience decreased muscle strength and physical function.The Korean version of the Functional Status Score for the Intensive Care Unit (FSS-ICU) is suitable for use with Korean speakers and has a valid, reliable measurement tool for physical function of intensive care unit patients.A well-standardized training with videos and written materials is important to ensure correct implementation of the Korean version of the FSS-ICU. Intensive care unit patients usually experience decreased muscle strength and physical function. The Korean version of the Functional Status Score for the Intensive Care Unit (FSS-ICU) is suitable for use with Korean speakers and has a valid, reliable measurement tool for physical function of intensive care unit patients. A well-standardized training with videos and written materials is important to ensure correct implementation of the Korean version of the FSS-ICU.</p

    Data_Sheet_1_Relationship between lower limb muscle activity and cortical activation among elderly people during walking: Effects of fast speed and cognitive dual task.DOCX

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    ObjectiveGait is a complex behavior that involves not only the musculoskeletal system, but also higher-order brain functions, including cognition. This study was performed to investigate the correlation between lower limb muscle activity and cortical activation during treadmill walking in two groups of elderly people: the young-old (aged 65–74 years) and the old-old (aged 75–84 years).MethodsThirty-one young-old and 31 old-old people participated in this study. All participants were sequentially subjected to three gait conditions on a treadmill: (1) comfortable walking, (2) fast walking, and (3) cognitive dual-task walking. During treadmill walking, the activity of the lower limb muscles was measured using a surface electromyography system, and cortical activation was measured using a functional near-infrared spectroscopy system. The correlation between muscle activity and cortical activation during treadmill walking was analyzed and compared between the two groups.ResultsDuring comfortable walking, lower extremity muscle activity had a strong correlation with cortical activation, especially in the swing phase; this was significantly stronger in the young-old than the old-old. During fast walking, the correlations between lower limb muscle activity and cortical activation were stronger than those during comfortable walking in both groups. In cognitive dual-task walking, cortical activation in the frontal region and motor area was increased, although the correlation between muscle activity and cortical activation was weaker than that during comfortable walking in both groups.ConclusionThe corticomotor correlation differed significantly between the old-old and the young-old. These results suggest that gait function is compensated by regulating corticomotor correlation as well as brain activity during walking in the elderly. These results could serve as a basis for developing gait training and fall prevention programs for the elderly.</p

    Table_1_Multichannel Transcranial Direct Current Stimulation Combined With Treadmill Gait Training in Patients With Parkinson's Disease: A Pilot Study.DOCX

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    BackgroundGait problems are critical impairments in Parkinson's disease (PD) and are related to increased risk of fall and negatively impact activities of daily life. Transcranial direct current stimulation (tDCS) is a non-invasive brain stimulation technique that can modify the cortical excitability of gait-related brain regions. In this study, we investigated whether multichannel tDCS with simultaneous treadmill gait training could improve gait in PD.MethodsTwenty-four patients with PD were assigned randomly to a real or sham tDCS group. Before intervention, one patient of the real tDCS group was dropped out, leaving 23 patients to be analyzed in this study. Each patient underwent 30 min of treadmill gait training for 10 sessions over four consecutive weeks. Multichannel 4x1 tDCS was applied using five 6-cm-diameter round electrodes. One anode was placed on the CZ, and four cathodes were positioned symmetrically over the FZ, C5, C6, and PZ. Anodal tDCS (2mA) and sham tDCS were delivered for 20 min. The secondary outcomes were gait performance, as measured by the timed up and go test (TUG) and freezing of gait questionnaire (FOG-Q), and balance was assessed using the dynamic gait index (DGI), Berg balance scale (BBS), and functional reach test (FRT). Motor and non-motor performance of patients with PD were assessed using the Movement Disorder Society-sponsored revision of the Unified Parkinson's Disease Rating Scale (MDS-UPDRS). Participants were assessed before the intervention, immediately after the intervention, and 4 weeks after completion of the intervention.ResultsThe real tDCS group showed a significant improvement in the 10-m walk test, but the sham group did not. Among the secondary outcome measures, MDS-UPDRS part II, TUG, and BBS were improved only in the real tDCS group. Particularly, MDS-UPDRS part II showed a significant group*time interaction effect, indicating that real tDCS demonstrated a better effect on the activities of daily living patients with PD.ConclusionsThe results of this pilot study suggest that multichannel tDCS applied on the leg motor cortex during treadmill gait training is a safe and effective means to improve gait velocity in patients with PD. Additional rigorous, large-sample, multicenter, randomized controlled trials are needed to confirm the effect of tDCS as a therapeutic adjunct for gait rehabilitation of patients with PD.</p

    Data_Sheet_1_Clustering and prediction of long-term functional recovery patterns in first-time stroke patients.docx

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    ObjectivesThe purpose of this study was to cluster long-term multifaceted functional recovery patterns and to establish prediction models for functional outcome in first-time stroke patients using unsupervised machine learning.MethodsThis study is an interim analysis of the dataset from the Korean Stroke Cohort for Functioning and Rehabilitation (KOSCO), a long-term, prospective, multicenter cohort study of first-time stroke patients. The KOSCO screened 10,636 first-time stroke patients admitted to nine representative hospitals in Korea during a three-year recruitment period, and 7,858 patients agreed to enroll. Early clinical and demographic features of stroke patients and six multifaceted functional assessment scores measured from 7 days to 24 months after stroke onset were used as input variables. K-means clustering analysis was performed, and prediction models were generated and validated using machine learning.ResultsA total of 5,534 stroke patients (4,388 ischemic and 1,146 hemorrhagic; mean age 63·31 ± 12·86; 3,253 [58.78%] male) completed functional assessments 24 months after stroke onset. Through K-means clustering, ischemic stroke (IS) patients were clustered into five groups and hemorrhagic stroke (HS) patients into four groups. Each cluster had distinct clinical characteristics and functional recovery patterns. The final prediction models for IS and HS patients achieved relatively high prediction accuracies of 0.926 and 0.887, respectively.ConclusionsThe longitudinal, multi-dimensional, functional assessment data of first-time stroke patients were successfully clustered, and the prediction models showed relatively good accuracies. Early identification and prediction of long-term functional outcomes will help clinicians develop customized treatment strategies.</p

    sj-docx-1-wso-10.1177_17474930231159779 – Supplemental material for Gender differences in mortality and long-term functional outcomes after first-ever ischemic stroke: A prospective cohort study

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    Supplemental material, sj-docx-1-wso-10.1177_17474930231159779 for Gender differences in mortality and long-term functional outcomes after first-ever ischemic stroke: A prospective cohort study by Sang Moon Yun, Seyoung Shin, Won Hyuk Chang, Deog Young Kim, Jongmin Lee, Min Kyun Sohn, Min-Keun Song, Yong-Il Shin, Yang-Soo Lee, Min Cheol Joo, So Young Lee, Junhee Han, Jeonghoon Ahn, Gyung-Jae Oh and Yun-Hee Kim in International Journal of Stroke</p

    Development and validation of a prediction model for home discharge in patients with moderate stroke: The Korean stroke cohort for functioning and rehabilitation study

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    Background: Previous studies have investigated the predictors for home discharge without considering stroke severity. Objectives: To develop a practical assessment tool that predicts home discharge for moderate stroke patients after subacute rehabilitation therapy in the tertiary hospitals. Methods: Stroke patients with National Institutes of Health Stroke Scale scores of 6 to 13 were included in this prospective cohort study. Various demographic, clinical, and functional factors were analyzed as potential predictive factors. A weighted scoring model was developed through the following three-step process: 1) selection of the factors by logistic regression analyses, 2) development of a weighted scoring model, and 3) validation of the generalizability of the model. Results: The home discharge rate was 51% (n = 372), and the overall mean length of stay of hospitalization was 32.5 days. 1) The Cognitive Functional Independence Measure, 2) the Functional Ambulation Categories, 3) the modified Charlson Comorbidity Index, and 4) marital status were independent predictors of home discharge. The coefficient value for marital status was adjusted to 1 in the scoring system, and the values of the other parameters were proportionally converted to the nearest integer. Possible total scores ranged from 0 to 13 in the model, with a higher score indicating a higher probability of home discharge. With a cutoff point of 7, this model showed 87.0% sensitivity and 86.2% specificity (area under the curve = 0.90). Conclusions: This novel assessment tool can be useful in predicting home discharge after subacute rehabilitation of moderate stroke patients.</p
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