Change in Activities of Daily Living in the Year Following a Stroke

Pai, Hsiang‐Chu; Lai, Mei Yu; Chen, An Chih; Lin, Pei Shan

doi:10.1097/nnr.0000000000000280

Cited by 10 publications

(5 citation statements)

References 27 publications

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“…Activities of daily living are independent and account for approximately 50% to 80% after 6 months 14 . It was reported that 3 months after a stroke is the key period for recovery 10,15 and functional recovery slows significantly after 6 months after stroke, 11,23 which is similar to our research results. It means that patients entering chronic diseases from the acute stage of stroke require long-term care.…”

Section: Discussionsupporting

confidence: 90%

Time-Varying Risk Factors Associated With the Progress of Functional Recovery and Psychological Distress in First-Ever Stroke Patients

Liu

Lin

Lee

et al. 2022

Journal of Neuroscience Nursing

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BACKGROUND: Evaluation of stroke recovery outcome is crucial and a major goal of clinical practice. A recovery trajectory model serves as a prognostic tool that enables development of effective intervention and long-term management to improve poststroke recovery outcomes. This study explored time-varying risk factors associated with the progression of functional recovery and psychological distress poststroke. METHODS: Participants were patients with first-ever stroke who underwent assessment for activities of daily living, psychological distress, and social support at the onset (within 72 hours) and at 1, 3, and 6 months. A generalized estimation equation was used to account for the correlation between the repeated measurements. RESULTS: Of the 101 patients, 60.4% were men, and the mean (SD) age was 63.06 (13.12) years. Over time, the physical functions of patients after stroke significantly increased, and anxiety and depression significantly decreased. Approximately 50% of patients achieved full functional recovery after 6 months. The time-varying risk factors for National Institutes of Health Stroke Scale scores and depression levels affected the trajectory of functional recovery during follow-up. Factors associated with patient anxiety levels were National Institutes of Health Stroke Scale scores and depression levels. Factors associated with patient depression levels included education, anxiety, and social support levels. CONCLUSION: This study demonstrates the progression of time-varying risk factors for functional recovery and psychological distress in patients with first-ever stroke. We recommend that nurses work with patients and their families in the early poststroke stages to identify comprehensive goals based on individual needs and related factors at different stages and that they educate patients on what is required for them to regain independence.

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Section: Discussionsupporting

confidence: 90%

Time-Varying Risk Factors Associated With the Progress of Functional Recovery and Psychological Distress in First-Ever Stroke Patients

Liu

Lin

Lee

et al. 2022

Journal of Neuroscience Nursing

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“…3 No neurological deterioration within the last 72 hours. 4 Sufficient cognition function and ability to learn rehabilitation exercise (Especially MRS between 2 and 4).…”

Section: Methodsmentioning

confidence: 99%

“…Chu Pai et al [4] proposed a study of testing and predicting the time change of Activities Daily Living (ADLs) of post-stroke patients within 24 hours and the whole months of the year. The ADLs were estimated by the Barthel Index (BI).…”

Section: Literature Reviewmentioning

confidence: 99%

Reduced Number of Parameters for Predicting Post-Stroke Activities of Daily Living Using Machine Learning Algorithms on Initiating Rehabilitation

Alqudah

Al-Hashem

Alqudah³

2021

IJCAI

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The estimation of the Barthel Index scale (BI) is a significant method for measuring the performance of Activities Daily Living (ADL), where the prediction of ADL is crucial for providing rehabilitation care management and recovery for patients after stroke, therefore in this paper, nine various Machine Learning (ML) algorithms were implemented in a medical dataset contains 776 records from 313 patients 208 of them are men: 208 and 150 are women with multiple features collected from them for predicting and classifying the BI status as clinical decision support for determining the ADL of post-stroke patients. Meanwhile, we have applied feature selection using the chi-squared test to reduce the number of features in the dataset. The results showed that the Decision Tree (DT), XGBoost (XGB), and AdaBoost (ADB) classifiers performed the highest performance achieved with 100% correctness in terms of accuracy, sensitivity, specificity, error, and Area Under Curve (AUC) on both the full and reduced features datasets. Povzetek: V prispevku je predlagana metodologija za zmanjšanje števila parametrov za napovedovanje primernih aktivnosti po možganski kapi.

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“…Stroke is a leading cause of death [1] and lost productivity worldwide as measured by disability-adjusted life years [2]. Upper extremity (UE) sensorimotor impairments after stroke, such as weakness, abnormal muscle tone or motor synergies, pain, and hypersensitivity or hyposensitivity, are prevalent and persistent [3] and may further affect activities of daily living [4] and quality of life after stroke [5]. Robot training (RT) is emerging as a novel approach to support therapists in their efforts to provide high-intensity, repetitive, and task-specific interventions.…”

Section: Introductionmentioning

confidence: 99%

Effects of proximal priority and distal priority robotic priming techniques with impairment-oriented training of upper limb functions in patients with chronic stroke: study protocol for a single-blind, randomized controlled trial

Lee

Lin

et al. 2021

Trials

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Background The sequence of establishing a proximal stability or function before facilitation of the distal body part has long been recognized in stroke rehabilitation practice but lacks scientific evidence. This study plans to examine the effects of proximal priority robotic priming and impairment-oriented training (PRI) and distal priority robotic priming and impairment-oriented training (DRI). Methods This single-blind, randomized, comparative efficacy study will involve 40 participants with chronic stroke. Participants will be randomized into the PRI or DRI groups and receive 18 intervention sessions (90 min/day, 3 days/weeks for 6 weeks). The Fugl-Meyer Assessment Upper Extremity subscale, Medical Research Council Scale, Revised Nottingham Sensory Assessment, and Wolf Motor Function Test will be administered at baseline, after treatment, and at the 3-month follow-up. Two-way repeated-measures analysis of variance and the chi-square automatic interaction detector method will be used to examine the comparative efficacy and predictors of outcome, respectively, after PRI and DRI. Discussion Through manipulating the sequence of applying wrist and forearm robots in therapy, this study will attempt to examine empirically the priming effect of proximal or distal priority robotic therapy in upper extremity impairment-oriented training for people with stroke. The findings will provide directions for further studies and empirical implications for clinical practice in upper extremity rehabilitation after stroke. Trial Registration ClinicalTrials.gov NCT04446273. Registered on June 23, 2020.

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Change in Activities of Daily Living in the Year Following a Stroke

Abstract: To promote ADLs of stroke patients, NIHSS score at admission, gender, and age should be included as important predictors of stroke care management. The results highlight that the rehabilitation of stroke patients should be focused more on ADLs at 1-6 months poststroke.

Cited by 10 publications

References 27 publications

Time-Varying Risk Factors Associated With the Progress of Functional Recovery and Psychological Distress in First-Ever Stroke Patients

Time-Varying Risk Factors Associated With the Progress of Functional Recovery and Psychological Distress in First-Ever Stroke Patients

Reduced Number of Parameters for Predicting Post-Stroke Activities of Daily Living Using Machine Learning Algorithms on Initiating Rehabilitation

Effects of proximal priority and distal priority robotic priming techniques with impairment-oriented training of upper limb functions in patients with chronic stroke: study protocol for a single-blind, randomized controlled trial

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