ArticleTherapeutic advances in neurological disorders2022
Prediction of gait independence using the Trunk Impairment Scale in patients with acute stroke.
Article in Therapeutic advances in neurological disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Article
- Predictive Sub-items and Cutoff Scores of the Functional Assessment for Control of Trunk (FACT) for Gait Independence in Patients with Acute Stroke.Physical therapy research · 2026Article
- Influence of Trunk Function on Assisted Gait and Independence in Patients With Acute Stroke.Stroke research and treatment · 2026Article
- Article
- Accuracy of determining gait independence using adductor pollicis muscle thickness and skeletal muscle mass index in community-dwelling older adults undergoing outpatient rehabilitation.European geriatric medicine · 2025Article
- Characteristics of subacute stroke patients who achieve earlier independence in real-life walking performance during hospitalization.Journal of rehabilitation medicine · 2025Article
- Longitudinal Changes in Factors Associated with Walking Independence at Hospital Discharge in Patients with Stroke: A Retrospective Study.Journal of clinical medicine · 2024Article
- Application of Isokinetic Dynamometry Data in Predicting Gait Deviation Index Using Machine Learning in Stroke Patients: A Cross-Sectional Study.Sensors (Basel, Switzerland) · 2024Observational
- Multiple imputation integrated to machine learning: predicting post-stroke recovery of ambulation after intensive inpatient rehabilitation.Scientific reports · 2024Article
- Logistic regression analysis and machine learning for predicting post-stroke gait independence: a retrospective study.Scientific reports · 2024Article
- Feedback Interventions in Motor Recovery of Lateropulsion after Stroke: A Literature Review and Case Series.Brain sciences · 2024Review
- Toe Grip Strength Is Associated with Improving Gait Function in Patients with Subacute Stroke.Brain sciences · 2024Article
- Respiratory Parameters as Predictors of Balance and Gait Ability in Patients with Stroke at Discharge.International journal of environmental research and public health · 2023Observational
- The Clinical Variables Predicting the Acquisition of Independent Ambulation in the Acute Phase of Stroke: A Retrospective Study.Geriatrics (Basel, Switzerland) · 2023Article
- Trunk Impairment Scale for Predicting Lumbar Spine Bone Mineral Density in Young Male Patients With Subacute Stroke.Annals of rehabilitation medicine · 2023Article
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Authors and funding
11 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Background: Gait recovery is one of the primary goals of stroke rehabilitation. Gait independence is a key functional component of independent activities in daily living and social participation. Therefore, early prediction of gait independence is essential for stroke rehabilitation. Trunk function is important for recovery of gait, balance, and lower extremity function. The Trunk Impairment Scale (TIS) was developed to assess trunk impairment in patients with stroke. Objective: To evaluate the predictive validity of the TIS for gait independence in patients with acute stroke. Methods: A total of 102 patients with acute stroke participated in this study. Every participant was assessed using the TIS, Stroke Impairment Assessment Set (SIAS), and Functional Independence Measure (FIM) within 48 h of stroke onset and at discharge. Gait independence was defined as FIM gait scores of 6 and 7. Multiple regression analysis was used to predict the FIM gait score, and multiple logistic regression analysis was used to predict gait independence. Cut-off values were determined using receiver operating characteristic (ROC) curves for variables considered significant in the multiple logistic regression analysis. In addition, the area under the curve (AUC), sensitivity, and specificity were calculated. Results: For the prediction of the FIM gait score at discharge, the TIS at admission showed a good-fitting adjusted coefficient of determination ( Conclusion: The TIS is a useful early predictor of gait ability in patients with acute stroke.
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