1
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Essers B, Veerbeek JM, Luft AR, Verheyden G. The feasibility of the adapted H-GRASP program for perceived and actual daily-life upper limb activity in the chronic phase post-stroke. Disabil Rehabil 2024:1-16. [PMID: 38329448 DOI: 10.1080/09638288.2024.2313121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 01/26/2024] [Indexed: 02/09/2024]
Abstract
(Purpose: Assessing feasibility and initial impact of the Home-Graded Repetitive Arm Supplementary Program combined with in-home accelerometer-based feedback (AH-GRASP) on perceived and actual daily-life upper limb (UL) activity in stroke survivors during the chronic phase with good UL motor function but low perceived daily-life activity. Material and methods: A 4-week intervention program (4 contact hours, 48 h self-practice) encompassing task-oriented training, behavioral techniques, phone-based support, monitoring, and weekly feedback sessions using wrist-worn accelerometery was implemented using a pre-post double baseline repeated measures design. Feasibility, clinical assessments, patient-reported outcomes, and accelerometer data were investigated. Results: Of the 34 individuals approached, nineteen were included (recruitment rate 56%). Two dropped out, one due to increased UL pain (retention rate 89%). Seven (41%) achieved the prescribed exercise target (120 min/day, six days/week). Positive patient experiences and improvements in UL capacity, self-efficacy, and contribution of the affected UL to overall activity (p < 0.05, small to large effect sizes) were observed. Additionally, seven participants (41%) surpassed the minimal clinically important difference in perceived UL activity.Conclusions: A home-based UL exercise program with accelerometer-based feedback holds promise for enhancing perceived and actual daily-life UL activity for our subgroup of chronic stroke survivors.
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Affiliation(s)
- Bea Essers
- Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium
| | | | - Andreas R Luft
- Division of Vascular Neurology and Neurorehabilitation, Department of Neurology and Clinical Neuroscience Center, Neurocenter, University of Zurich and University Hospital Zurich, Zurich, Switzerland
- Cereneo, Center for Neurology and Rehabilitation, Vitznau, Switzerland
| | - Geert Verheyden
- Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium
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2
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Van Criekinge T, Heremans C, Burridge J, Deutsch JE, Hammerbeck U, Hollands K, Karthikbabu S, Mehrholz J, Moore JL, Salbach NM, Schröder J, Veerbeek JM, Weerdesteyn V, Borschmann K, Churilov L, Verheyden G, Kwakkel G. Standardized measurement of balance and mobility post-stroke: Consensus-based core recommendations from the third Stroke Recovery and Rehabilitation Roundtable. Int J Stroke 2024; 19:158-168. [PMID: 37824730 DOI: 10.1177/17474930231205207] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2023]
Abstract
BACKGROUND Mobility is a key priority for stroke survivors. Worldwide consensus of standardized outcome instruments for measuring mobility recovery after stroke is an essential milestone to optimize the quality of stroke rehabilitation and recovery studies and to enable data synthesis across trials. METHODS Using a standardized methodology, which involved convening of 13 worldwide experts in the field of mobility rehabilitation, consensus was established through an a priori defined survey-based approach followed by group discussions. The group agreed on balance- and mobility-related definitions and recommended a core set of outcome measure instruments for lower extremity motor function, balance and mobility, biomechanical metrics, and technologies for measuring quality of movement. RESULTS Selected measures included the Fugl-Meyer Motor Assessment lower extremity subscale for motor function, the Trunk Impairment Scale for sitting balance, and the Mini Balance Evaluation System Test (Mini-BESTest) and Berg Balance Scale (BBS) for standing balance. The group recommended the Functional Ambulation Category (FAC, 0-5) for walking independence, the 10-meter Walk Test (10 mWT) for walking speed, the 6-Minute Walk Test (6 MWT) for walking endurance, and the Dynamic Gait Index (DGI) for complex walking. An FAC score of less than three should be used to determine the need for an additional standing test (FAC < 3, add BBS to Mini-BESTest) or the feasibility to assess walking (FAC < 3, 10 mWT, 6 MWT, and DGI are "not testable"). In addition, recommendations are given for prioritized kinetic and kinematic metrics to be investigated that measure recovery of movement quality of standing balance and walking, as well as for assessment protocols and preferred equipment to be used. CONCLUSIONS The present recommendations of measures, metrics, technology, and protocols build on previous consensus meetings of the International Stroke Recovery and Rehabilitation Alliance to guide the research community to improve the validity and comparability between stroke recovery and rehabilitation studies as a prerequisite for building high-quality, standardized "big data" sets. Ultimately, these recommendations could lead to high-quality, participant-specific data sets to aid the progress toward precision medicine in stroke rehabilitation.
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Affiliation(s)
| | | | - Jane Burridge
- School of Health Sciences, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK
| | - Judith E Deutsch
- RiVERS Lab, Department of Rehabilitation and Movement Sciences, School of Health Professions, Rutgers University, Newark, NJ, USA
| | - Ulrike Hammerbeck
- School of Sport and Health Sciences, University of Brighton, Brighton, UK
| | | | - Suruliraj Karthikbabu
- KMCH College of Physiotherapy, Kovai Medical Center Research and Educational Trust and The Tamil Nadu Dr. M.G.R. Medical University, Coimbatore, India
| | - Jan Mehrholz
- Department of Public Health, Dresden Medical School, Technical University Dresden, Dresden, Germany
| | - Jennifer L Moore
- Institute for Knowledge Translation, Carmel, IN, USA
- Southeastern Norway Regional Center for Knowledge Translation in Rehabilitation, Oslo, Norway
| | - Nancy M Salbach
- Department of Physical Therapy, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- The KITE Research Institute, University Health Network, Toronto, ON, Canada
| | - Jonas Schröder
- Research Group MOVANT, Department of Rehabilitation Sciences and Physiotherapy, University of Antwerp, Antwerp, Belgium
| | | | - Vivian Weerdesteyn
- Department of Rehabilitation, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
- Sint Maartenskliniek Research, Nijmegen, The Netherlands
| | - Karen Borschmann
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Leonid Churilov
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Melbourne, VIC, Australia
- Department of Medicine, Melbourne Medical School, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, VIC, Australia
| | - Geert Verheyden
- Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium
| | - Gert Kwakkel
- Department of Rehabilitation Medicine, Amsterdam Movement Sciences, Amsterdam Neuroscience, Amsterdam University Medical Centers, Amsterdam, The Netherlands
- Department of Physical Therapy & Human Movement Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
- Department of Neurorehabilitation, Amsterdam Rehabilitation Research Centre, Reade, Amsterdam, The Netherlands
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3
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Van Criekinge T, Heremans C, Burridge J, Deutsch JE, Hammerbeck U, Hollands K, Karthikbabu S, Mehrholz J, Moore JL, Salbach NM, Schröder J, Veerbeek JM, Weerdesteyn V, Borschmann K, Churilov L, Verheyden G, Kwakkel G. Standardized measurement of balance and mobility post-stroke: Consensus-based core recommendations from the third Stroke Recovery and Rehabilitation Roundtable. Neurorehabil Neural Repair 2024; 38:41-51. [PMID: 37837351 DOI: 10.1177/15459683231209154] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/16/2023]
Abstract
BACKGROUND Mobility is a key priority for stroke survivors. Worldwide consensus of standardized outcome instruments for measuring mobility recovery after stroke is an essential milestone to optimize the quality of stroke rehabilitation and recovery studies and to enable data synthesis across trials. METHODS Using a standardized methodology, which involved convening of 13 worldwide experts in the field of mobility rehabilitation, consensus was established through an a priori defined survey-based approach followed by group discussions. The group agreed on balance- and mobility-related definitions and recommended a core set of outcome measure instruments for lower extremity motor function, balance and mobility, biomechanical metrics, and technologies for measuring quality of movement. RESULTS Selected measures included the Fugl-Meyer Motor Assessment lower extremity subscale for motor function, the Trunk Impairment Scale for sitting balance, and the Mini Balance Evaluation System Test (Mini-BESTest) and Berg Balance Scale (BBS) for standing balance. The group recommended the Functional Ambulation Category (FAC, 0-5) for walking independence, the 10-meter Walk Test (10 mWT) for walking speed, the 6-Minute Walk Test (6 MWT) for walking endurance, and the Dynamic Gait Index (DGI) for complex walking. An FAC score of less than three should be used to determine the need for an additional standing test (FAC < 3, add BBS to Mini-BESTest) or the feasibility to assess walking (FAC < 3, 10 mWT, 6 MWT, and DGI are "not testable"). In addition, recommendations are given for prioritized kinetic and kinematic metrics to be investigated that measure recovery of movement quality of standing balance and walking, as well as for assessment protocols and preferred equipment to be used. CONCLUSIONS The present recommendations of measures, metrics, technology, and protocols build on previous consensus meetings of the International Stroke Recovery and Rehabilitation Alliance to guide the research community to improve the validity and comparability between stroke recovery and rehabilitation studies as a prerequisite for building high-quality, standardized "big data" sets. Ultimately, these recommendations could lead to high-quality, participant-specific data sets to aid the progress toward precision medicine in stroke rehabilitation.
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Affiliation(s)
| | | | - Jane Burridge
- School of Health Sciences, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK
| | - Judith E Deutsch
- RiVERS Lab, Department of Rehabilitation and Movement Sciences, School of Health Professions, Rutgers University, Newark, NJ, USA
| | - Ulrike Hammerbeck
- School of Sport and Health Sciences, University of Brighton, Brighton, UK
| | | | - Suruliraj Karthikbabu
- KMCH College of Physiotherapy, Kovai Medical Center Research and Educational Trust and The Tamil Nadu Dr. M.G.R. Medical University, Coimbatore, India
| | - Jan Mehrholz
- Department of Public Health, Dresden Medical School, Technical University Dresden, Dresden, Germany
| | - Jennifer L Moore
- Institute for Knowledge Translation, Carmel, IN, USA
- Southeastern Norway Regional Center for Knowledge Translation in Rehabilitation, Oslo, Norway
| | - Nancy M Salbach
- Department of Physical Therapy, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada
- The KITE Research Institute, University Health Network, Toronto, ON, Canada
| | - Jonas Schröder
- Research Group MOVANT, Department of Rehabilitation Sciences and Physiotherapy, University of Antwerp, Antwerp, Belgium
| | | | - Vivian Weerdesteyn
- Department of Rehabilitation, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
- Sint Maartenskliniek Research, Nijmegen, The Netherlands
| | - Karen Borschmann
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Leonid Churilov
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Melbourne, VIC, Australia
- Department of Medicine, Melbourne Medical School, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, VIC, Australia
| | - Geert Verheyden
- Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium
| | - Gert Kwakkel
- Department of Rehabilitation Medicine, Amsterdam Movement Sciences, Amsterdam Neuroscience, Amsterdam University Medical Centers, Amsterdam, The Netherlands
- Department of Physical Therapy & Human Movement Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
- Department of Neurorehabilitation, Amsterdam Rehabilitation Research Centre, Reade, Amsterdam, The Netherlands
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4
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Veerbeek JM, Hutter C, Ottiger B, Micheletti S, Riedi S, Bianchi E, Maaijwee N, Vanbellingen T, Nyffeler T. Profiling Daily Life Performance Recovery in the Early Subacute Phase After Stroke Using a Graphical Modeling Approach. J Am Heart Assoc 2023; 12:e030472. [PMID: 37581392 PMCID: PMC10492950 DOI: 10.1161/jaha.123.030472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 06/09/2023] [Indexed: 08/16/2023]
Abstract
Background Laboratory-based assessments have shown that stroke recovery is heterogeneous between patients and affected domains such as motor and language function. However, laboratory-based assessments are not ecologically valid and do not necessarily reflect patients' daily life performance. Therefore, we aimed to give an innovative view on stroke recovery by profiling daily life performance recovery across domains in patients with early subacute stroke and determine their interrelatedness, taking stroke localization into account. Methods and Results Daily life performance was observed at neurorehabilitation admission and weekly thereafter until discharge, using a scale containing 7 daily life domains. Graphical modeling was applied to investigate the conditional independence between recovery of these domains depending on stroke localization. There were 592 patients analyzed. Four clusters of interrelated domains were identified within the first 6 weeks poststroke. The first cluster included recovery in learning and applying knowledge, general tasks and demands, and domestic life. The second cluster comprised recovery in self-care and general tasks and demands. The third cluster included recovery in mobility and self-care; it incorporated interpersonal interactions and relationships in left supratentorial stroke, and learning and applying knowledge in right supratentorial stroke. The final cluster included only communication recovery. Conclusions Daily life recovery dynamics early poststroke show that although impairments in body functions are anatomically determined, their impact on performance is comparable. Second, some, but by no means all, domains show an interrelated recovery. Domains requiring cognitive abilities are especially interrelated and seem to be essential for concomitant recovery in mobility and domestic life.
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Affiliation(s)
| | - Clemens Hutter
- Chair for Mathematical Information ScienceETH ZurichZurichSwitzerland
| | | | | | - Simone Riedi
- Department of Computer ScienceETH ZurichZurichSwitzerland
| | - Enrico Bianchi
- Department of Computer ScienceETH ZurichZurichSwitzerland
| | | | - Tim Vanbellingen
- NeurocenterLuzerner KantonsspitalLucerneSwitzerland
- ARTORG Center for Biomedical Engineering Research, Gerontechnology and Rehabilitation GroupUniversity BernBernSwitzerland
| | - Thomas Nyffeler
- NeurocenterLuzerner KantonsspitalLucerneSwitzerland
- ARTORG Center for Biomedical Engineering Research, Gerontechnology and Rehabilitation GroupUniversity BernBernSwitzerland
- Department of NeurologyInselspital, Bern University Hospital, University of BernSwitzerland
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Deseoe J, Schwarz A, Pipping T, Lehmann A, Veerbeek JM, Luft AR, Wegener S, Globas C, Held JPO. Cerebral blood flow velocity progressively decreases with increasing levels of verticalization in healthy adults. A cross-sectional study with an observational design. Front Neurol 2023; 14:1149673. [PMID: 37139076 PMCID: PMC10149656 DOI: 10.3389/fneur.2023.1149673] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2023] [Accepted: 03/20/2023] [Indexed: 05/05/2023] Open
Abstract
Background Autoregulation of the cerebral vasculature keeps brain perfusion stable over a range of systemic mean arterial pressures to ensure brain functioning, e.g., in different body positions. Verticalization, i.e., transfer from lying (0°) to upright (70°), which causes systemic blood pressure drop, would otherwise dramatically lower cerebral perfusion pressure inducing fainting. Understanding cerebral autoregulation is therefore a prerequisite to safe mobilization of patients in therapy. Aim We measured the impact of verticalization on cerebral blood flow velocity (CBFV) and systemic blood pressure (BP), heart rate (HR) and oxygen saturation in healthy individuals. Methods We measured CBFV in the middle cerebral artery (MCA) of the dominant hemisphere in 20 subjects using continuous transcranial doppler ultrasound (TCD). Subjects were verticalized at 0°, -5°, 15°, 30°, 45° and 70° for 3-5 min each, using a standardized Sara Combilizer chair. In addition, blood pressure, heart rate and oxygen saturation were continuously monitored. Results We show that CBFV progressively decreases in the MCA with increasing degrees of verticalization. Systolic and diastolic BP, as well as HR, show a compensatory increase during verticalization. Conclusion In healthy adults CBFV changes rapidly with changing levels of verticalization. The changes in the circulatory parameters are similar to results regarding classic orthostasis. Registration ClinicalTrials.gov, identifier: NCT04573114.
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Affiliation(s)
- Julian Deseoe
- Department of Neurology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Anne Schwarz
- Department of Neurology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Theodor Pipping
- Department of Neurology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Aurelia Lehmann
- Department of Neurology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Janne M. Veerbeek
- Department of Neurology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
- Neurocenter, Luzerner Kantonsspital, Lucerne, Switzerland
| | - Andreas R. Luft
- Department of Neurology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Susanne Wegener
- Department of Neurology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Christoph Globas
- Department of Neurology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
- *Correspondence: Christoph Globas
| | - Jeremia P. O. Held
- Department of Neurology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
- Rehabilitation Center Triemli Zurich, Valens Clinics, Zurich, Switzerland
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Ottiger B, Vanbellingen T, Cazzoli D, Nyffeler T, Veerbeek JM. Development and Validation of the Short-LIMOS for the Acute Stroke Unit-A Short Version of the Lucerne ICF-Based Multidisciplinary Observation Scale. Front Rehabil Sci 2022; 3:857955. [PMID: 36189034 PMCID: PMC9397680 DOI: 10.3389/fresc.2022.857955] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Accepted: 02/16/2022] [Indexed: 12/13/2022]
Abstract
Introduction At hospital stroke units, the time available to assess the patient's limitations in activities and participation is limited, although being essential for discharge planning. Till date, there is no quick-to-perform instrument available that captures the patient's actual performance during daily activities from a motor, cognitive, and communication perspective within the International Classification of Functioning, Disability and Health (ICF) framework. Therefore, the aim was to develop and validate a shortened version of the Lucerne ICF-Based Multidisciplinary Observation Scale (Short-LIMOS) that observes the patient's performance across ICF-domains and is applicable in the context of an acute stroke unit. Methods The Short-LIMOS was developed by reducing the original 45-item LIMOS to the ten most important items using a multivariable linear regression ANOVA with data of 836 stroke patients collected during inpatient neurorehabilitation. The Short-LIMOS's reliability, validity, and responsiveness were evaluated with data of 416 stroke patients in the acute stroke unit. Results A significant equation [F (10,825) = 232.083] with R 2 of 0.738 was found for the following ten items for the Short-LIMOS: maintaining a body position (d415), changing basic body position (d410), climbing stairs (d4551), eating (d550), dressing (d540), communicating with-receiving-written messages (reading) (d325), applying knowledge, remembering facts (d179), solving complex problems (d1751), making simple decisions (d177), and undertaking a simple task (d2100). Principal component analysis revealed a Short-LIMOS motor and a Short-LIMOS cognition/communication component. The Short-LIMOS had a high internal consistency and good test-retest reliability. A moderate construct validity was shown by the significant correlation with the Barthel Index. The Short-LIMOS had neither floor nor ceiling effects. Discussion and Conclusion The developed Short-LIMOS was found to be reliable and valid within a population of (hyper)acute and subacute stroke patients. The added value of this multidisciplinary assessment is its comprehensiveness by capturing the patient's actual performance on the motor, cognitive, and communication domain embedded in an ICF-framework in <10 mins.
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Affiliation(s)
| | - Tim Vanbellingen
- Neurocenter, Luzerner Kantonsspital, Lucerne, Switzerland.,ARTORG Center for Biomedical Engineering Research, Gerontechnology and Rehabilitation Group, University Bern, Bern, Switzerland
| | - Dario Cazzoli
- Neurocenter, Luzerner Kantonsspital, Lucerne, Switzerland.,ARTORG Center for Biomedical Engineering Research, Gerontechnology and Rehabilitation Group, University Bern, Bern, Switzerland.,Department of Psychology, University of Bern, Bern, Switzerland
| | - Thomas Nyffeler
- Neurocenter, Luzerner Kantonsspital, Lucerne, Switzerland.,ARTORG Center for Biomedical Engineering Research, Gerontechnology and Rehabilitation Group, University Bern, Bern, Switzerland.,Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
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7
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Veerbeek JM, Pohl J, Luft AR, Held JPO. External validation and extension of the Early Prediction of Functional Outcome after Stroke (EPOS) prediction model for upper limb outcome 3 months after stroke. PLoS One 2022; 17:e0272777. [PMID: 35939514 PMCID: PMC9359545 DOI: 10.1371/journal.pone.0272777] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Accepted: 07/27/2022] [Indexed: 11/23/2022] Open
Abstract
Objective The ‘Early Prediction of Functional Outcome after Stroke’ (EPOS) model was developed to predict the presence of at least some upper limb capacity (Action Research Am Test [ARAT] ≥10/57) at 6 months based on assessments on days 2, 5 and 9 after stroke. External validation of the model is the next step towards clinical implementation. The objective here is to externally validate the EPOS model for upper limb outcome 3 months poststroke in Switzerland and extend the model using an ARAT cut-off at 32 points. Methods Data from two prospective longitudinal cohort studies including first-ever stroke patients admitted to a Swiss stroke center were analyzed. The presence of finger extension and shoulder abduction was measured on days 1 and 8 poststroke in Cohort 1, and on days 3 and 9 in Cohort 2. Upper limb capacity was measured 3 months poststroke. Discrimination (area under the curve; AUC) and calibration obtained with the model were determined. Results In Cohort 1 (N = 39, median age 74 years), the AUC on day 1 was 0.78 (95%CI 0.61, 0.95) and 0.96 (95%CI 0.90, 1.00) on day 8, using the model of day 5. In Cohort 2 (N = 85, median age 69 years), the AUC was 0.96 (95%CI 0.93, 0.99) on day 3 and 0.89 (95% CI 0.80, 0.98) on day 9. Applying a 32-point ARAT cut-off resulted in an AUC ranging from 0.82 (95%CI 0.68, 0.95; Cohort 1, day 1) to 0.95 (95%CI 0.87, 1.00; Cohort 1, day 8). Conclusions The EPOS model was successfully validated in first-ever stroke patients with mild-to-moderate neurological impairments, who were independent before their stroke. Now, its impact on clinical practice should be investigated in this population. Testing the model’s performance in severe (recurrent) strokes and stratification of patients using the ARAT 32-point cut-off is required to enhance the model’s generalizability and potential clinical impact.
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Affiliation(s)
- Janne M. Veerbeek
- Department of Neurology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
- * E-mail:
| | - Johannes Pohl
- Department of Neurology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Andreas R. Luft
- Department of Neurology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
- cereneo, Center for Neurology and Rehabilitation, Vitznau, Switzerland
| | - Jeremia P. O. Held
- Department of Neurology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
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8
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Veerbeek JM, Pohl J, Held JPO, Luft AR. External Validation of the Early Prediction of Functional Outcome After Stroke Prediction Model for Independent Gait at 3 Months After Stroke. Front Neurol 2022; 13:797791. [PMID: 35585839 PMCID: PMC9108182 DOI: 10.3389/fneur.2022.797791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Accepted: 03/23/2022] [Indexed: 11/13/2022] Open
Abstract
IntroductionThe Early Prediction of Functional Outcome after Stroke (EPOS) model for independent gait is a tool to predict between days 2 and 9 poststroke whether patients will regain independent gait 6 months after stroke. External validation of the model is important to determine its clinical applicability and generalizability by testing its performance in an independent cohort. Therefore, this study aimed to perform a temporal and geographical external validation of the EPOS prediction model for independent gait after stroke but with the endpoint being 3 months instead of the original 6 months poststroke.MethodsTwo prospective longitudinal cohort studies consisting of patients with first-ever stroke admitted to a Swiss hospital stroke unit. Sitting balance and strength of the paretic leg were tested at days 1 and 8 post-stroke in Cohort I and at days 3 and 9 in Cohort II. Independent gait was assessed 3 months after symptom onset. The performance of the model in terms of discrimination (area under the receiver operator characteristic (ROC) curve; AUC), classification, and calibration was assessed.ResultsIn Cohort I [N = 39, median age: 74 years, 33% women, median National Institutes of Health Stroke Scale (NIHSS) 9], the AUC (95% confidence interval (CI)] was 0.675 (0.510, 0.841) on day 1 and 0.921 (0.811, 1.000) on day 8. For Cohort II (N = 78, median age: 69 years, 37% women, median NIHSS 8), this was 0.801 (0.684, 0.918) on day 3 and 0.846 (0.741, 0.951) on day 9.Discussion and ConclusionExternal validation of the EPOS prediction model for independent gait 3 months after stroke resulted in an acceptable performance from day 3 onward in mild-to-moderately affected patients with first-ever stroke without severe prestroke disability. The impact of applying this model in clinical practice should be investigated within this subgroup of patients with stroke. To improve the generalizability of patients with recurrent stroke and those with more severe, neurological comorbidities, the performance of the EPOS model within these patients should be determined across different geographical areas.
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Affiliation(s)
- Janne M. Veerbeek
- Department of Neurology, University of Zurich and University Hospital Zurich, Zurich, Switzerland
- Neurocenter, Luzerner Kantonsspital, Lucerne, Switzerland
- *Correspondence: Janne M. Veerbeek
| | - Johannes Pohl
- Department of Neurology, University of Zurich and University Hospital Zurich, Zurich, Switzerland
- Department of Rehabilitation Sciences, KU Leuven – University of Leuven, Leuven, Belgium
| | - Jeremia P. O. Held
- Department of Neurology, University of Zurich and University Hospital Zurich, Zurich, Switzerland
- Rehabilitation Center Triemli Zurich, Valens Clinics, Zurich, Switzerland
| | - Andreas R. Luft
- Department of Neurology, University of Zurich and University Hospital Zurich, Zurich, Switzerland
- Cereneo, Center for Neurology and Rehabilitation, Vitznau, Switzerland
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9
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Held JPO, Schwarz A, Pohl J, Thürlimann E, Porrtmann S, Branscheidt M, Fratian M, Van Duinen J, Veerbeek JM, Luft AR. Changes in stroke rehabilitation during the SARS-CoV-2 shutdown in Switzerland. J Rehabil Med 2021; 54:jrm00272. [PMID: 34927210 PMCID: PMC8902586 DOI: 10.2340/jrm.v53.1118] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Introduction Many stroke survivors require continuous outpatient rehabilitation therapy to maintain or improve their neurological functioning, independence, and quality of life. In Switzerland and many other countries, the shutdown to contain SARS-CoV-2 infections led to mobility restrictions and a decrease in therapy delivery. This study investigated the impact of the COVID-19 shutdown on stroke survivors’ access to therapy, physical activity, functioning and mood. Methods A prospective observational cohort study in stroke subjects. At 4 time-points (before, during, after the shutdown, and at 3-month follow-up), the amount of therapy, physical activities, motor function, anxiety, and depression were assessed. Results Thirty-six community-dwelling stroke subjects (median 70 years of age, 10 months post-stroke) were enrolled. Therapy reductions related to the shutdown were reported in 72% of subjects. This decrease was associated with significantly extended sedentary time and minimal deterioration in physical activity during the shutdown. Both parameters improved between reopening and 3-month follow-up. Depressive symptoms increased slightly during the observation period. Patients more frequently reported on self-directed training during shutdown. Conclusion The COVID-19 shutdown had measurable immediate, but no persistent, effects on post-stroke outcomes, except for depression. Importantly, a 2-month reduction in therapy may trigger improvements when therapy is fully re-initiated thereafter.
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Affiliation(s)
- Jeremia P O Held
- University and University Hospital Zurich, Neurology, Frauenklinikstrasse 26, 8091 Zurich.
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10
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Essers B, Van Gils A, Lafosse C, Michielsen M, Beyens H, Schillebeeckx F, Veerbeek JM, Luft AR, Kos D, Verheyden G. Evolution and prediction of mismatch between observed and perceived upper limb function after stroke: a prospective, longitudinal, observational cohort study. BMC Neurol 2021; 21:488. [PMID: 34906100 PMCID: PMC8672498 DOI: 10.1186/s12883-021-02493-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Accepted: 11/09/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND A previously shown 'mismatch' group of patients with good observed upper limb (UL) motor function but low perceived UL activity at six months post stroke tends to use the affected UL less in daily life than would be expected based on clinical tests, and this mismatch may also be present at 12 months. We aimed to confirm this group in another cohort, to investigate the evolution of this group from six to 12 months, and to determine factors on admission to inpatient rehabilitation and at 6 months that can discriminate between mismatch and good match groups at 12 months. METHODS Persons after stroke were recruited on rehabilitation admission and re-assessed at six and 12 months. Observed UL function was measured with the upper extremity subscale of the Fugl-Meyer Assessment (FMA-UE) and perceived UL activity by the hand subscale of the Stroke Impact Scale 3.0 (SIS-Hand). We defined mismatch as good observed UL function (FMA-UE > 50/66) but low perceived activity (SIS-Hand≤75/100). Potential discriminators at admission and 6 months (demographic characteristics, stroke characteristics, UL somatosensory function, cognitive deficits, mental function and activity) were statistically compared for match and mismatch groups at 12 months. RESULTS We included 60 participants (female: 42%) with mean (SD) age of 65 (12) years. We confirmed a mismatch group of 11 (18%) patients at 6 months, which increased to 14 (23%) patients at 12 months. In the mismatch group compared to the good match group at 12 months, patients had a higher stroke severity and more somatosensory impairments on admission and at 6 months. CONCLUSIONS We confirmed a group of patients with good observed UL function but low perceived activity both at six and at 12 months post stroke. Assessment of stroke severity and somatosensory impairments on admission into rehabilitation could determine mismatch at 12 months and might warrant intervention. However, large differences in clinical outcomes between patients in the mismatch group indicate the importance of tailoring training to the individual needs.
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Affiliation(s)
- Bea Essers
- Department of Rehabilitation Sciences, KU Leuven, Tervuursevest 101 box 1501, 3001, Leuven, Belgium.
| | - Annick Van Gils
- Department of Rehabilitation Sciences, KU Leuven, Tervuursevest 101 box 1501, 3001, Leuven, Belgium
| | - Christophe Lafosse
- Department of Allied Health and Department of Research, Rehabilitation Hospital RevArte, Antwerp, Belgium
| | - Marc Michielsen
- Rehabilitation Campus Sint Ursula, Jessa Hospital, Hasselt, Belgium
| | - Hilde Beyens
- Department of Physical Medicine and Rehabilitation, University Hospitals Leuven, Leuven, Belgium
| | - Fabienne Schillebeeckx
- Department of Physical Medicine and Rehabilitation, University Hospitals Leuven, Leuven, Belgium
| | | | - Andreas R Luft
- Division of Vascular Neurology and Neurorehabilitation, Department of Neurology, University of Zurich and University Hospital Zurich, Zurich, Switzerland
- Cereneo, Center for Neurology and Rehabilitation, Vitznau, Switzerland
| | - Daphne Kos
- Department of Rehabilitation Sciences, KU Leuven, Tervuursevest 101 box 1501, 3001, Leuven, Belgium
| | - Geert Verheyden
- Department of Rehabilitation Sciences, KU Leuven, Tervuursevest 101 box 1501, 3001, Leuven, Belgium
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11
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Schwarz A, Veerbeek JM, Held JPO, Buurke JH, Luft AR. Measures of Interjoint Coordination Post-stroke Across Different Upper Limb Movement Tasks. Front Bioeng Biotechnol 2021; 8:620805. [PMID: 33585418 PMCID: PMC7876346 DOI: 10.3389/fbioe.2020.620805] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Accepted: 12/18/2020] [Indexed: 01/26/2023] Open
Abstract
Background: Deficits in interjoint coordination, such as the inability to move out of synergy, are frequent symptoms in stroke subjects with upper limb impairments that hinder them from regaining normal motor function. Kinematic measurements allow a fine-grained assessment of movement pathologies, thereby complementing clinical scales, like the Fugl–Meyer Motor Assessment of the Upper Extremity (FMMA-UE). The study goal was to investigate the effects of the performed task, the tested arm, the dominant affected hand, upper limb function, and age on spatiotemporal parameters of the elbow, shoulder, and trunk. The construct validity of the metrics was examined by relating them with each other, the FMMA-UE, and its arm section. Methods: This is a cross-sectional observational study including chronic stroke patients with mild to moderate upper limb motor impairment. Kinematic measurements were taken using a wearable sensor suit while performing four movements with both upper limbs: (1) isolated shoulder flexion, (2) pointing, (3) reach-to-grasp a glass, and (4) key insertion. The kinematic parameters included the joint ranges of shoulder abduction/adduction, shoulder flexion/extension, and elbow flexion/extension; trunk displacement; shoulder–elbow correlation coefficient; median slope; and curve efficiency. The effects of the task and tested arm on the metrics were investigated using a mixed-model analysis. The validity of metrics compared to clinically measured interjoint coordination (FMMA-UE) was done by correlation analysis. Results: Twenty-six subjects were included in the analysis. The movement task and tested arm showed significant effects (p < 0.05) on all kinematic parameters. Hand dominance resulted in significant effects on shoulder flexion/extension and curve efficiency. The level of upper limb function showed influences on curve efficiency and the factor age on median slope. Relations with the FMMA-UE revealed the strongest and significant correlation for curve efficiency (r = 0.75), followed by shoulder flexion/extension (r = 0.68), elbow flexion/extension (r = 0.53), and shoulder abduction/adduction (r = 0.49). Curve efficiency additionally correlated significantly with the arm subsection, focusing on synergistic control (r = 0.59). Conclusion: The kinematic parameters of the upper limb after stroke were influenced largely by the task. These results underpin the necessity to assess different relevant functional movements close to real-world conditions rather than relying solely on clinical measures. Study Registration: clinicaltrials.gov, identifier NCT03135093 and BASEC-ID 2016-02075.
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Affiliation(s)
- Anne Schwarz
- Vascular Neurology and Neurorehabilitation, Department of Neurology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Biomedical Signals and Systems (BSS), University of Twente, Enschede, Netherlands
| | - Janne M Veerbeek
- Vascular Neurology and Neurorehabilitation, Department of Neurology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Jeremia P O Held
- Vascular Neurology and Neurorehabilitation, Department of Neurology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Jaap H Buurke
- Biomedical Signals and Systems (BSS), University of Twente, Enschede, Netherlands.,Roessingh Research and Development B.V., Enschede, Netherlands
| | - Andreas R Luft
- Vascular Neurology and Neurorehabilitation, Department of Neurology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.,Cereneo, Center for Neurology and Rehabilitation, Vitznau, Switzerland
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12
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Schwarz A, Averta G, Veerbeek JM, Luft AR, Held JPO, Valenza G, Biechi A, Bianchi M. A functional analysis-based approach to quantify upper limb impairment level in chronic stroke patients: a pilot study. Annu Int Conf IEEE Eng Med Biol Soc 2020; 2019:4198-4204. [PMID: 31946795 DOI: 10.1109/embc.2019.8857732] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
The accurate assessment of upper limb motion impairment induced by stroke - which represents one of the primary causes of disability world-wide - is the first step to successfully monitor and guide patients' recovery. As of today, the majority of the procedures relies on clinical scales, which are mostly based on ordinal scaling, operator-dependent, and subject to floor and ceiling effects. In this work, we intend to overcome these limitations by proposing a novel approach to analytically evaluate the level of pathological movement coupling, based on the quantification of movement complexity. To this goal, we consider the variations of functional Principal Components applied to the reconstruction of joint angle trajectories of the upper limb during daily living task execution, and compared these variations between two conditions, i.e. the affected and non-affected arm. A Dissimilarity Index, which codifies the severity of the upper limb motor impairment with respect to the movement complexity of the non-affected arm, is then proposed. This methodology was validated as a proof of concept upon a set of four chronic stroke subjects with mild to moderate arm and hand impairments. As a first step, we evaluated whether the derived outcomes differentiate between the two conditions upon the whole data-set. Secondly, we exploited this concept to discern between different subjects and impairment levels. Results show that: i) differences in terms of movement variability between the affected and nonaffected upper limb are detectable and ii) different impairment profiles can be characterized for single subjects using the proposed approach. Although provisional, these results are very promising and suggest this approach as a basis ingredient for the definition of a novel, operator-independent, sensitive, intuitive and widely applicable scale for the evaluation of upper limb motion impairment.
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Ciullo AS, Veerbeek JM, Temperli E, Luft AR, Tonis FJ, Haarman CJW, Ajoudani A, Catalano MG, Held JPO, Bicchi A. A Novel Soft Robotic Supernumerary Hand for Severely Affected Stroke Patients. IEEE Trans Neural Syst Rehabil Eng 2020; 28:1168-1177. [PMID: 32248115 DOI: 10.1109/tnsre.2020.2984717] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Upper limb functions are severely affected in 23% of the chronic stroke patients, compromising their life quality. To re-enable hand use, providing a degree of functionality and motivating against learned non-use, we propose a robotic supernumerary limb, the SoftHand X (SHX), consisting of a robotic hand, a gravity support system, and different sensors to detect the patient's intent for controlling the robotic hand. In this paper, this novel compensational approach is introduced and experimentally evaluated in stroke patients, assessing its efficacy, usability and safety. Ten patients were asked to perform tasks of a modified Action Research Arm Test with the SHX, by using three input methods. The mARAT scores rated the potentiality of the system. Usability was evaluated with the System Usability Scale, while spasticity before and after use was measured by the modified Ashworth Scale (mAS). Nine patients, not able to perform any tasks without external support, completed the whole experimental procedure using the proposed system with a median score greater than 12/30. Among the three input methods tested, the usability of one was rated as "good" while the other two were rated as "ok". Seven patients exhibited a reduction of the mAS. All nine patients stated that they would use the system frequently. Results obtained suggest that the SHX has the potential to partially compensate severely impaired hand function in stroke patients.
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Abstract
Background and Purpose- Assessing upper limb movements poststroke is crucial to monitor and understand sensorimotor recovery. Kinematic assessments are expected to enable a sensitive quantification of movement quality and distinguish between restitution and compensation. The nature and practice of these assessments are highly variable and used without knowledge of their clinimetric properties. This presents a challenge when interpreting and comparing results. The purpose of this review was to summarize the state of the art regarding kinematic upper limb assessments poststroke with respect to the assessment task, measurement system, and performance metrics with their clinimetric properties. Subsequently, we aimed to provide evidence-based recommendations for future applications of upper limb kinematics in stroke recovery research. Methods- A systematic search was conducted in PubMed, Embase, CINAHL, and IEEE Xplore. Studies investigating clinimetric properties of applied metrics were assessed for risk of bias using the Consensus-Based Standards for the Selection of Health Measurement Instruments checklist. The quality of evidence for metrics was determined according to the Grading of Recommendations Assessment, Development, and Evaluation approach. Results- A total of 225 studies (N=6197) using 151 different kinematic metrics were identified and allocated to 5 task and 3 measurement system groups. Thirty studies investigated clinimetrics of 62 metrics: reliability (n=8), measurement error (n=5), convergent validity (n=22), and responsiveness (n=2). The metrics task/movement time, number of movement onsets, number of movement ends, path length ratio, peak velocity, number of velocity peaks, trunk displacement, and shoulder flexion/extension received a sufficient evaluation for one clinimetric property. Conclusions- Studies on kinematic assessments of upper limb sensorimotor function are poorly standardized and rarely investigate clinimetrics in an unbiased manner. Based on the available evidence, recommendations on the assessment task, measurement system, and performance metrics were made with the goal to increase standardization. Further high-quality studies evaluating clinimetric properties are needed to validate kinematic assessments, with the long-term goal to elucidate upper limb sensorimotor recovery poststroke. Clinical Trial Registration- URL: https://www.crd.york.ac.uk/prospero/ . Unique identifier: CRD42017064279.
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Affiliation(s)
- Anne Schwarz
- From the Division of Vascular Neurology and Neurorehabilitation, Department of Neurology, University Hospital Zurich, University of Zurich, Switzerland (A.S., A.R.L., J.M.V.).,cereneo, Center for Neurology and Rehabilitation, Vitznau, Switzerland (A.S., A.R.L., J.M.V.).,Biomedical Signals and Systems, Technical Medical Centre (TechMed Centre), University of Twente, Enschede, the Netherlands (A.S.)
| | - Christoph M Kanzler
- Department of Health Sciences and Technology, Rehabilitation Engineering Laboratory, Institute of Robotics and Intelligent Systems, ETH Zurich, Switzerland (C.M.K., O.L.)
| | - Olivier Lambercy
- Department of Health Sciences and Technology, Rehabilitation Engineering Laboratory, Institute of Robotics and Intelligent Systems, ETH Zurich, Switzerland (C.M.K., O.L.)
| | - Andreas R Luft
- From the Division of Vascular Neurology and Neurorehabilitation, Department of Neurology, University Hospital Zurich, University of Zurich, Switzerland (A.S., A.R.L., J.M.V.).,cereneo, Center for Neurology and Rehabilitation, Vitznau, Switzerland (A.S., A.R.L., J.M.V.)
| | - Janne M Veerbeek
- From the Division of Vascular Neurology and Neurorehabilitation, Department of Neurology, University Hospital Zurich, University of Zurich, Switzerland (A.S., A.R.L., J.M.V.).,cereneo, Center for Neurology and Rehabilitation, Vitznau, Switzerland (A.S., A.R.L., J.M.V.)
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15
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Kundert R, Goldsmith J, Veerbeek JM, Krakauer JW, Luft AR. What the Proportional Recovery Rule Is (and Is Not): Methodological and Statistical Considerations. Neurorehabil Neural Repair 2019; 33:876-887. [PMID: 31524062 PMCID: PMC6854610 DOI: 10.1177/1545968319872996] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
In 2008, it was proposed that the magnitude of recovery from nonsevere upper limb motor impairment over the first 3 to 6 months after stroke, measured with the Fugl-Meyer Assessment (FMA), is approximately 0.7 times the initial impairment (“proportional recovery”). In contrast to patients with nonsevere hemiparesis, about 30% of patients with an initial severe paresis do not show such recovery (“nonrecoverers”). Hence it was suggested that the proportional recovery rule (PRR) was a manifestation of a spontaneous mechanism that is present in all patients with mild-to-moderate paresis but only in some with severe paresis. Since the introduction of the PRR, it has subsequently been applied to other motor and nonmotor impairments. This more general investigation of the PRR has led to inconsistencies in its formulation and application, making it difficult to draw conclusions across studies and precipitating some cogent criticism. Here, we conduct a detailed comparison of the different studies reporting proportional recovery and, where appropriate, critique statistical methodology. On balance, we conclude that existing data in aggregate are largely consistent with the PRR as a population-level model for upper limb motor recovery; recent reports of its demise are exaggerated, as these excessively focus on the less conclusive issue of individual subject-level predictions. Moving forward, we suggest that methodological caution and new analytical approaches will be needed to confirm (or refute) a systematic character to spontaneous recovery from motor and other poststroke impairments, which can be captured by a mathematical rule either at the population or at the subject level.
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Affiliation(s)
- Robinson Kundert
- University of Zurich and University Hospital Zurich, Zurich, Switzerland.,cereneo, Center for Neurology and Rehabilitation, Vitznau, Switzerland.,Swiss Federal Institute of Technology, Zurich, Switzerland
| | | | - Janne M Veerbeek
- University of Zurich and University Hospital Zurich, Zurich, Switzerland.,cereneo, Center for Neurology and Rehabilitation, Vitznau, Switzerland
| | | | - Andreas R Luft
- University of Zurich and University Hospital Zurich, Zurich, Switzerland.,cereneo, Center for Neurology and Rehabilitation, Vitznau, Switzerland
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16
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Held JPO, van Duinen J, Luft AR, Veerbeek JM. Eligibility Screening for an Early Upper Limb Stroke Rehabilitation Study. Front Neurol 2019; 10:683. [PMID: 31312170 PMCID: PMC6614516 DOI: 10.3389/fneur.2019.00683] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Accepted: 06/12/2019] [Indexed: 11/13/2022] Open
Abstract
Introduction: Stroke rehabilitation should start early in order to optimize patients' outcomes, but most trials include subacute or chronic patients. Although suggested that early stroke rehabilitation trials face difficulties regarding patient recruitment with corresponding low recruitment rates, no systematically collected information regarding screening and associated costs has been published. Such knowledge is essential for optimizing enrollment. Therefore, this study evaluated screening procedures for an early upper limb rehabilitation study including first-ever ischemic stroke patients <48 h after onset. Methods: Screening data for a monocentric longitudinal observational cohort study was prospectively collected. Researchers screened health-care records, during the morning round and face-to-face at the stroke-unit on working days. Outcomes were the recruitment rate, reasons for non-enrollment, and screening costs. Results: Over 15 months, 27 out of 845 screened ischemic stroke patients were enrolled, equaling a recruitment rate of 1.8/month. Main reasons for non-enrollment were no upper limb paresis (N = 456), >48 h post-stroke (N = 257), general comorbidity (N = 150), unable to follow commands (N = 148), and recurrent stroke (N = 146). Four patients were missed due to time constraints of the personnel or patient. The recruitment rate would have been 1.2 higher if also patients with recurrent strokes but without residual motor deficits or pre-stroke mRS ≥2 were considered eligible. Screening costed € 7.48 per patient. Discussion: Screening at working days is sufficient to enroll patients in early stroke rehabilitation trials. Inclusion criteria regarding recurrent strokes should be less stringent to boost recruitment rates without increasing bias. Multicenter collaborations are needed to finish well-powered early stroke rehabilitation studies within a reasonable time. Ethics and Study Registration: Authorization from the local ethical committee was not required, as this study does not fall within the scope of the Human Research Act (BASEC Identifier: Req-2017-00844). The project was registered at http://www.clinicaltrials.gov (Identifier: NCT03633422).
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Affiliation(s)
- Jeremia P O Held
- Division of Vascular Neurology and Neurorehabilitation, Department of Neurology, University of Zurich and University Hospital Zurich, Zurich, Switzerland
| | - Jannie van Duinen
- Division of Vascular Neurology and Neurorehabilitation, Department of Neurology, University of Zurich and University Hospital Zurich, Zurich, Switzerland
| | - Andreas R Luft
- Division of Vascular Neurology and Neurorehabilitation, Department of Neurology, University of Zurich and University Hospital Zurich, Zurich, Switzerland.,Cereneo, Center for Neurology and Rehabilitation, Vitznau, Switzerland
| | - Janne M Veerbeek
- Division of Vascular Neurology and Neurorehabilitation, Department of Neurology, University of Zurich and University Hospital Zurich, Zurich, Switzerland
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17
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Winters C, Kwakkel G, van Wegen EE, Nijland RH, Veerbeek JM, Meskers CG. Moving stroke rehabilitation forward: The need to change research. NeuroRehabilitation 2018; 43:19-30. [DOI: 10.3233/nre-172393] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Affiliation(s)
- Caroline Winters
- Department of Rehabilitation Medicine, Amsterdam University Medical Center, VU University Medical Center, Amsterdam Movement Sciences, The Netherlands
- Amsterdam Neuroscience, The Netherlands
| | - Gert Kwakkel
- Department of Rehabilitation Medicine, Amsterdam University Medical Center, VU University Medical Center, Amsterdam Movement Sciences, The Netherlands
- Amsterdam Neuroscience, The Netherlands
- Rehabilitation Research Center, Reade, Amsterdam, The Netherlands
- Department of Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, IL, USA
| | - Erwin E.H. van Wegen
- Department of Rehabilitation Medicine, Amsterdam University Medical Center, VU University Medical Center, Amsterdam Movement Sciences, The Netherlands
- Amsterdam Neuroscience, The Netherlands
| | | | - Janne M. Veerbeek
- Department of Neurology, Division of Vascular Neurology and Neurorehabilitation, University Hospital and University of Zurich, Switzerland
- cereneo - Center for Neurology and Rehabilitation, Vitznau, Switzerland
| | - Carel G.M. Meskers
- Department of Rehabilitation Medicine, Amsterdam University Medical Center, VU University Medical Center, Amsterdam Movement Sciences, The Netherlands
- Amsterdam Neuroscience, The Netherlands
- Department of Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, IL, USA
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Held JPO, Luft AR, Veerbeek JM. Encouragement-Induced Real-World Upper Limb Use after Stroke by a Tracking and Feedback Device: A Study Protocol for a Multi-Center, Assessor-Blinded, Randomized Controlled Trial. Front Neurol 2018; 9:13. [PMID: 29422881 PMCID: PMC5788891 DOI: 10.3389/fneur.2018.00013] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2017] [Accepted: 01/09/2018] [Indexed: 11/30/2022] Open
Abstract
Introduction Retraining the paretic upper limb after stroke should be intense and specific to be effective. Hence, the best training is daily life use, which is often limited by motivation and effort. Tracking and feedback technology have the potential to encourage self-administered, context-specific training of upper limb use in the patients’ home environment. The aim of this study is to investigate post-intervention and long-term effects of a wrist-worn activity tracking device providing multimodal feedback on daily arm use in hemiparetic subjects beyond 3 months post-stroke. Methods and analysis A prospective, multi-center, assessor-blinded, Phase 2 randomized controlled trial with a superiority framework. Sixty-two stroke patients will be randomized in two groups with a 1:1 allocation ratio, stratified based on arm paresis severity (Fugl-Meyer Assessment—Upper Extremity subscale <32 and ≥32). The experimental group receives a wrist-worn activity tracking device providing multimodal feedback on daily arm use for 6 weeks. Controls wear an identical device providing no feedback. Sample size: 31 participants per group, based on a difference of 0.75±1.00 points on the Motor Activity Log—14 Item Version, Amount of Use subscale (MAL—14 AOU), 80% power, two-sided alpha of 0.05, and a 10% attrition rate. Outcomes: primary outcome is the change in patient-reported amount of daily life upper limb use (MAL—14 AOU) from baseline to post-intervention. Secondary outcomes are change in upper limb motor function, upper limb capacity, global disability, patient-reported quality of daily life upper limb use, and quality of life from baseline to post-intervention and 6-week follow-up, as well as compliance, activity counts, and safety. Discussion The results of this study will show the possible efficacy of a wrist-worn tracking and feedback device on patient-reported amount of daily life upper limb use. Ethics and dissemination The study is approved by the Cantonal Ethics Committees Zurich, and Northwest and Central Switzerland (BASEC-number 2017-00948) and registered in https://clinicaltrials.gov (NCT03294187) before recruitment started. This study will be carried out in compliance with the Declaration of Helsinki, ICH-GCP, ISO 14155:2011, and Swiss legal and regulatory requirements. Dissemination will include submission to a peer-reviewed journal, patient and healthcare professional magazines, and congress presentations.
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Affiliation(s)
- Jeremia P O Held
- Division of Vascular Neurology and Neurorehabilitation, Department of Neurology, University of Zurich and University Hospital Zurich, Zurich, Switzerland.,Cereneo, center for Neurology and Rehabilitation, Vitznau, Switzerland.,Biomedical Signals and Systems, MIRA - Institute for Biomedical Technology and Technical Medicine, University of Twente, Enschede, Netherlands
| | - Andreas R Luft
- Division of Vascular Neurology and Neurorehabilitation, Department of Neurology, University of Zurich and University Hospital Zurich, Zurich, Switzerland.,Cereneo, center for Neurology and Rehabilitation, Vitznau, Switzerland
| | - Janne M Veerbeek
- Division of Vascular Neurology and Neurorehabilitation, Department of Neurology, University of Zurich and University Hospital Zurich, Zurich, Switzerland.,Cereneo, center for Neurology and Rehabilitation, Vitznau, Switzerland
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Veerbeek JM, Winters C, van Wegen EEH, Kwakkel G. Is the proportional recovery rule applicable to the lower limb after a first-ever ischemic stroke? PLoS One 2018; 13:e0189279. [PMID: 29329286 PMCID: PMC5766096 DOI: 10.1371/journal.pone.0189279] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2017] [Accepted: 11/20/2017] [Indexed: 11/18/2022] Open
Abstract
OBJECTIVE To investigate (a) the applicability of the proportional recovery rule of spontaneous neurobiological recovery to motor function of the paretic lower extremity (LE); and (b) the presence of fitters and non-fitters of this prognostic rule poststroke. When present, the clinical threshold for fitting nor non-fitting would be determined, as well as within-subject generalizability to the paretic upper extremity (UE). METHODS Prospective cohort study in which the Fugl-Meyer Assessment (FMA)-LE and FMA-UE were measured <72 hours and 6 months poststroke. Predicted maximum potential recovery was defined as [FMA-LEmax-FMA-LEinitial = 34 -FMA-LEinitial]. Hierarchical clustering in 202 first-ever ischemic stroke patients distinguished between fitting and not fitting the rule. Descriptive statistics determined whether fitters and non-fitters for LE were the same persons as for UE. RESULTS 175 (87%) patients fitted the FMA-LE recovery rule. The observed average improvement of the fitters was ~64% of the predicted maximum potential recovery. In the non-fitter group, the maximum initial FMA-LE score was 13 points. Fifty-one out of 78 patients (~65%) who scored below the identified 14-point threshold at baseline fitted the FMA-LE rule. Non-fitters were more severely affected than fitters. All non-fitters of the FMA-LE rule did also not fit the proportional recovery rule for FMA-UE. CONCLUSIONS Proportional recovery seems to be consistent within subjects across LE and UE motor impairment at the hemiplegic side in first-ever ischemic hemispheric stroke subjects. Future studies should investigate prospectively distinguishing between fitters and not-fitters within the subgroup of patients who have initial low FMA-LE scores. Subsequently, patients could be stratified based on fitting or not fitting the recovery rule as this would impact rehabilitation management and trial design.
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Affiliation(s)
- Janne M. Veerbeek
- Department of Rehabilitation Medicine, VU University Medical Center, Amsterdam, The Netherlands
- Amsterdam Movement Sciences, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Amsterdam, the Netherlands
- Division of Vascular Neurology and Neurorehabilitation, University of Zurich, Zurich, Switzerland
- Cereneo, Center for Neurology and Rehabilitation, Vitznau, Switzerland
| | - Caroline Winters
- Department of Rehabilitation Medicine, VU University Medical Center, Amsterdam, The Netherlands
- Amsterdam Movement Sciences, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Erwin E. H. van Wegen
- Department of Rehabilitation Medicine, VU University Medical Center, Amsterdam, The Netherlands
- Amsterdam Movement Sciences, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Gert Kwakkel
- Department of Rehabilitation Medicine, VU University Medical Center, Amsterdam, The Netherlands
- Amsterdam Movement Sciences, Amsterdam, the Netherlands
- Amsterdam Neuroscience, Amsterdam, the Netherlands
- Rehabilitation Research Center, Reade, Amsterdam, the Netherlands
- Department of Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, Illinois, United States of America
- * E-mail:
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Abstract
BACKGROUND Multiple sclerosis (MS) is a chronic disease of the central nervous system, affecting approximately 2.5 million people worldwide. People with MS may experience limitations in muscular strength and endurance - including the respiratory muscles, affecting functional performance and exercise capacity. Respiratory muscle weakness can also lead to diminished performance on coughing, which may result in (aspiration) pneumonia or even acute ventilatory failure, complications that frequently cause death in MS. Training of the respiratory muscles might improve respiratory function and cough efficacy. OBJECTIVES To assess the effects of respiratory muscle training versus any other type of training or no training for respiratory muscle function, pulmonary function and clinical outcomes in people with MS. SEARCH METHODS We searched the Trials Register of the Cochrane Multiple Sclerosis and Rare Diseases of the Central Nervous System Group (3 February 2017), which contains trials from the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, Embase, CINAHL, LILACS and the trial registry databases ClinicalTrials.gov and WHO International Clinical Trials Registry Platform. Two authors independently screened records yielded by the search, handsearched reference lists of review articles and primary studies, checked trial registers for protocols, and contacted experts in the field to identify further published or unpublished trials. SELECTION CRITERIA We included randomized controlled trials (RCTs) that investigated the efficacy of respiratory muscle training versus any control in people with MS. DATA COLLECTION AND ANALYSIS One reviewer extracted study characteristics and study data from included RCTs, and two other reviewers independently cross-checked all extracted data. Two review authors independently assessed risk of bias with the Cochrane 'Risk of bias' assessment tool. When at least two RCTs provided data for the same type of outcome, we performed meta-analyses. We assessed the certainty of the evidence according to the GRADE approach. MAIN RESULTS We included six RCTs, comprising 195 participants with MS. Two RCTs investigated inspiratory muscle training with a threshold device; three RCTs, expiratory muscle training with a threshold device; and one RCT, regular breathing exercises. Eighteen participants (˜ 10%) dropped out; trials reported no serious adverse events.We pooled and analyzed data of 5 trials (N=137) for both inspiratory and expiratory muscle training, using a fixed-effect model for all but one outcome. Compared to no active control, meta-analysis showed that inspiratory muscle training resulted in no significant difference in maximal inspiratory pressure (mean difference (MD) 6.50 cmH2O, 95% confidence interval (CI) -7.39 to 20.38, P = 0.36, I2 = 0%) or maximal expiratory pressure (MD -8.22 cmH2O, 95% CI -26.20 to 9.77, P = 0.37, I2 = 0%), but there was a significant benefit on the predicted maximal inspiratory pressure (MD 20.92 cmH2O, 95% CI 6.03 to 35.81, P = 0.006, I2 = 18%). Meta-analysis with a random-effects model failed to show a significant difference in predicted maximal expiratory pressure (MD 5.86 cmH2O, 95% CI -10.63 to 22.35, P = 0.49, I2 = 55%). These studies did not report outcomes for health-related quality of life.Three RCTS compared expiratory muscle training versus no active control or sham training. Under a fixed-effect model, meta-analysis failed to show a significant difference between groups with regard to maximal expiratory pressure (MD 8.33 cmH2O, 95% CI -0.93 to 17.59, P = 0.18, I2 = 42%) or maximal inspiratory pressure (MD 3.54 cmH2O, 95% CI -5.04 to 12.12, P = 0.42, I2 = 41%). One trial assessed quality of life, finding no differences between groups.For all predetermined secondary outcomes, such as forced expiratory volume, forced vital capacity and peak flow pooling was not possible. However, two trials on inspiratory muscle training assessed fatigue using the Fatigue Severity Scale (range of scores 0-56 ), finding no difference between groups (MD, -0.28 points, 95% CI-0.95 to 0.39, P = 0.42, I2 = 0%). Due to the low number of studies included, we could not perform cumulative meta-analysis or subgroup analyses. It was not possible to perform a meta-analysis for adverse events, no serious adverse were mentioned in any of the included trials.The quality of evidence was low for all outcomes because of limitations in design and implementation as well as imprecision of results. AUTHORS' CONCLUSIONS This review provides low-quality evidence that resistive inspiratory muscle training with a resistive threshold device is moderately effective postintervention for improving predicted maximal inspiratory pressure in people with mild to moderate MS, whereas expiratory muscle training showed no significant effects. The sustainability of the favourable effect of inspiratory muscle training is unclear, as is the impact of the observed effects on quality of life.
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Affiliation(s)
- Marc B Rietberg
- VU University Medical CenterDepartment of Rehabilitation Medicine, Amsterdan Movement Sciences, MS Center AmsterdamDe Boelelaan 1118AmsterdamNetherlands1007 MB
| | - Janne M Veerbeek
- University of Zurich, University Hospital ZurichDepartment of NeurologyFrauenklinikstrasse 26ZurichSwitzerlandCH‐8091
| | - Rik Gosselink
- Universitaire Ziekenhuizen Leuven, Katholieke Universiteit LeuvenRespiratory Division and Respiratory Rehabilitation UnitTervuursevest 101LeuvenBelgium3000
| | - Gert Kwakkel
- VU University Medical CenterDepartment of Rehabilitation Medicine, Amsterdam Movement Sciences and Amsterdam, Amsterdam NeurosciencesDe Boelelaan 1118AmsterdamNetherlands1007 MB
| | - Erwin EH van Wegen
- Amsterdam Neurosciences, VU University Medical CenterDepartment of Rehabilitation Medicine, Amsterdam Movement SciencesPO Box 7057AmsterdamNetherlands1007 MB
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21
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Leeuwis AE, Hooghiemstra AM, Amier R, Ferro DA, Franken L, Nijveldt R, Kuijer JP, Bronzwaer ASG, van Lieshout JJ, Rietberg MB, Veerbeek JM, Huijsmans RJ, Backx FJ, Teunissen CE, Bron EE, Barkhof F, Prins ND, Shahzad R, Niessen WJ, de Roos A, van Osch MJ, van Rossum AC, Biessels GJ, van der Flier WM. Design of the ExCersion-VCI study: The effect of aerobic exercise on cerebral perfusion in patients with vascular cognitive impairment. Alzheimers Dement (N Y) 2017; 3:157-165. [PMID: 29067325 PMCID: PMC5651416 DOI: 10.1016/j.trci.2017.02.002] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Abstract
There is evidence for a beneficial effect of aerobic exercise on cognition, but underlying mechanisms are unclear. In this study, we test the hypothesis that aerobic exercise increases cerebral blood flow (CBF) in patients with vascular cognitive impairment (VCI). This study is a multicenter single-blind randomized controlled trial among 80 patients with VCI. Most important inclusion criteria are a diagnosis of VCI with Mini-Mental State Examination ≥22 and Clinical Dementia Rating ≤0.5. Participants are randomized into an aerobic exercise group or a control group. The aerobic exercise program aims to improve cardiorespiratory fitness and takes 14 weeks, with a frequency of three times a week. Participants are provided with a bicycle ergometer at home. The control group receives two information meetings. Primary outcome measure is change in CBF. We expect this study to provide insight into the potential mechanism by which aerobic exercise improves hemodynamic status.
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Affiliation(s)
- Anna E. Leeuwis
- Alzheimer Center and Department of Neurology, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, The Netherlands
| | - Astrid M. Hooghiemstra
- Alzheimer Center and Department of Neurology, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, The Netherlands
| | - Raquel Amier
- Department of Cardiology, VU University Medical Center, Amsterdam, The Netherlands
| | - Doeschka A. Ferro
- Department of Neurology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Leonie Franken
- Alzheimer Center and Department of Neurology, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, The Netherlands
| | - Robin Nijveldt
- Department of Cardiology, VU University Medical Center, Amsterdam, The Netherlands
| | - Joost P.A. Kuijer
- Department of Physics and Medical Technology, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, The Netherlands
| | - Anne-Sophie G.T. Bronzwaer
- Department of Internal Medicine, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
- Laboratory for Clinical Cardiovascular Physiology, Center for Heart Failure Research, Academic, Medical Center, Amsterdam, The Netherlands
| | - Johannes J. van Lieshout
- Department of Internal Medicine, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
- Laboratory for Clinical Cardiovascular Physiology, Center for Heart Failure Research, Academic, Medical Center, Amsterdam, The Netherlands
- MRC/ARUK Centre for Musculoskeletal Ageing Research, School of Life Sciences, The Medical School, University of Nottingham, United Kingdom
| | - Marc B. Rietberg
- Department of Rehabilitation Medicine, MOVE Research Institute Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Janne M. Veerbeek
- Department of Rehabilitation Medicine, MOVE Research Institute Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Rosalie J. Huijsmans
- Department of Rehabilitation Medicine, MOVE Research Institute Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Frank J.G. Backx
- Department of Rehabilitation, Physical Therapy Science and Sport, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Charlotte E. Teunissen
- Neurochemistry Laboratory and Biobank, Department of Clinical Chemistry, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, The Netherlands
| | - Esther E. Bron
- Biomedical Imaging Group Rotterdam, Departments of Medical Informations and Radiology, Erasmus MC, Rotterdam, The Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, The Netherlands
- Institute of Neurology, UCL, London, United Kingdom
- Institute of Healthcare Engineering, UCL, London, United Kingdom
| | - Niels D. Prins
- Alzheimer Center and Department of Neurology, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, The Netherlands
| | - Rahil Shahzad
- Division of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Wiro J. Niessen
- Biomedical Imaging Group Rotterdam, Departments of Medical Informations and Radiology, Erasmus MC, Rotterdam, The Netherlands
- Imaging Physics, Applied Sciences, Delft University of Technology, Delft, The Netherlands
| | - Albert de Roos
- Department of Radiology, C.J. Gorter Center for high field MRI, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Albert C. van Rossum
- Department of Cardiology, VU University Medical Center, Amsterdam, The Netherlands
| | - Geert J. Biessels
- Department of Neurology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Wiesje M. van der Flier
- Alzheimer Center and Department of Neurology, Amsterdam Neuroscience, VU University Medical Center, Amsterdam, The Netherlands
- Department of Epidemiology, VU University Medical Center, Amsterdam, The Netherlands
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Vloothuis JDM, Mulder M, Veerbeek JM, Konijnenbelt M, Visser‐Meily JMA, Ket JCF, Kwakkel G, van Wegen EEH. Caregiver-mediated exercises for improving outcomes after stroke. Cochrane Database Syst Rev 2016; 12:CD011058. [PMID: 28002636 PMCID: PMC6463929 DOI: 10.1002/14651858.cd011058.pub2] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
BACKGROUND Stroke is a major cause of long-term disability in adults. Several systematic reviews have shown that a higher intensity of training can lead to better functional outcomes after stroke. Currently, the resources in inpatient settings are not always sufficient and innovative methods are necessary to meet these recommendations without increasing healthcare costs. A resource efficient method to augment intensity of training could be to involve caregivers in exercise training. A caregiver-mediated exercise programme has the potential to improve outcomes in terms of body function, activities, and participation in people with stroke. In addition, caregivers are more actively involved in the rehabilitation process, which may increase feelings of empowerment with reduced levels of caregiver burden and could facilitate the transition from rehabilitation facility (in hospital, rehabilitation centre, or nursing home) to home setting. As a consequence, length of stay might be reduced and early supported discharge could be enhanced. OBJECTIVES To determine if caregiver-mediated exercises (CME) improve functional ability and health-related quality of life in people with stroke, and to determine the effect on caregiver burden. SEARCH METHODS We searched the Cochrane Stroke Group Trials Register (October 2015), CENTRAL (the Cochrane Library, 2015, Issue 10), MEDLINE (1946 to October 2015), Embase (1980 to December 2015), CINAHL (1982 to December 2015), SPORTDiscus (1985 to December 2015), three additional databases (two in October 2015, one in December 2015), and six additional trial registers (October 2015). We also screened reference lists of relevant publications and contacted authors in the field. SELECTION CRITERIA Randomised controlled trials comparing CME to usual care, no intervention, or another intervention as long as it was not caregiver-mediated, aimed at improving motor function in people who have had a stroke. DATA COLLECTION AND ANALYSIS Two review authors independently selected trials. One review author extracted data, and assessed quality and risk of bias, and a second review author cross-checked these data and assessed quality. We determined the quality of the evidence using GRADE. The small number of included studies limited the pre-planned analyses. MAIN RESULTS We included nine trials about CME, of which six trials with 333 patient-caregiver couples were included in the meta-analysis. The small number of studies, participants, and a variety of outcome measures rendered summarising and combining of data in meta-analysis difficult. In addition, in some studies, CME was the only intervention (CME-core), whereas in other studies, caregivers provided another, existing intervention, such as constraint-induced movement therapy. For trials in the latter category, it was difficult to separate the effects of CME from the effects of the other intervention.We found no significant effect of CME on basic ADL when pooling all trial data post intervention (4 studies; standardised mean difference (SMD) 0.21, 95% confidence interval (CI) -0.02 to 0.44; P = 0.07; moderate-quality evidence) or at follow-up (2 studies; mean difference (MD) 2.69, 95% CI -8.18 to 13.55; P = 0.63; low-quality evidence). In addition, we found no significant effects of CME on extended ADL at post intervention (two studies; SMD 0.07, 95% CI -0.21 to 0.35; P = 0.64; low-quality evidence) or at follow-up (2 studies; SMD 0.11, 95% CI -0.17 to 0.39; P = 0.45; low-quality evidence).Caregiver burden did not increase at the end of the intervention (2 studies; SMD -0.04, 95% CI -0.45 to 0.37; P = 0.86; moderate-quality evidence) or at follow-up (1 study; MD 0.60, 95% CI -0.71 to 1.91; P = 0.37; very low-quality evidence).At the end of intervention, CME significantly improved the secondary outcomes of standing balance (3 studies; SMD 0.53, 95% CI 0.19 to 0.87; P = 0.002; low-quality evidence) and quality of life (1 study; physical functioning: MD 12.40, 95% CI 1.67 to 23.13; P = 0.02; mobility: MD 18.20, 95% CI 7.54 to 28.86; P = 0.0008; general recovery: MD 15.10, 95% CI 8.44 to 21.76; P < 0.00001; very low-quality evidence). At follow-up, we found a significant effect in favour of CME for Six-Minute Walking Test distance (1 study; MD 109.50 m, 95% CI 17.12 to 201.88; P = 0.02; very low-quality evidence). We also found a significant effect in favour of the control group at the end of intervention, regarding performance time on the Wolf Motor Function test (2 studies; MD -1.72, 95% CI -2.23 to -1.21; P < 0.00001; low-quality evidence). We found no significant effects for the other secondary outcomes (i.e. PATIENT motor impairment, upper limb function, mood, fatigue, length of stay and adverse events; caregiver: mood and quality of life).In contrast to the primary analysis, sensitivity analysis of CME-core showed a significant effect of CME on basic ADL post intervention (2 studies; MD 9.45, 95% CI 2.11 to 16.78; P = 0.01; moderate-quality evidence).The methodological quality of the included trials and variability in interventions (e.g. content, timing, and duration), affected the validity and generalisability of these observed results. AUTHORS' CONCLUSIONS There is very low- to moderate-quality evidence that CME may be a valuable intervention to augment the pallet of therapeutic options for stroke rehabilitation. Included studies were small, heterogeneous, and some trials had an unclear or high risk of bias. Future high-quality research should determine whether CME interventions are (cost-)effective.
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Affiliation(s)
- Judith DM Vloothuis
- Amsterdam Rehabilitation Research Centre, ReadeDepartment of NeurorehabilitationOvertoom 283PO Box 58271AmsterdamNetherlands1054 HW
| | - Marijn Mulder
- VU University Medical CenterDepartment of Rehabilitation Medicine, MOVE Research Institute AmsterdamAmsterdamNetherlands
| | - Janne M Veerbeek
- VU University Medical CenterDepartment of Rehabilitation Medicine, MOVE Research Institute AmsterdamAmsterdamNetherlands
- VU University Medical CenterDepartment of Rehabilitation Medicine, Physical TherapyDe Boelelaan 1118AmsterdamNoor‐HollandNetherlands1007 MB
| | - Manin Konijnenbelt
- Amsterdam Rehabilitation Research Centre, ReadeDepartment of NeurorehabilitationOvertoom 283PO Box 58271AmsterdamNetherlands1054 HW
| | - Johanna MA Visser‐Meily
- University Medical Center Utrecht and De HoogstraatBrain Center Rudolf MagnusHeidelberglaan 100PO Box 85500UtrechtNetherlands3508 GA
| | - Johannes CF Ket
- Vrije Universiteit AmsterdamMedical LibraryDe Boelelaan 1117AmsterdamNetherlands1081 HV
| | - Gert Kwakkel
- VU University Medical CenterDepartment of Rehabilitation Medicine, MOVE Research Institute Amsterdam, Amsterdam NeurosciencesDe Boelelaan 1118AmsterdamNetherlands1007 MB
| | - Erwin EH van Wegen
- Amsterdam Neurosciences, VU University Medical CenterDepartment of Rehabilitation Medicine, MOVE Research Institute AmsterdamPO Box 7057AmsterdamNetherlands1007 MB
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Veerbeek JM, Langbroek-Amersfoort AC, van Wegen EEH, Meskers CGM, Kwakkel G. Effects of Robot-Assisted Therapy for the Upper Limb After Stroke. Neurorehabil Neural Repair 2016; 31:107-121. [PMID: 27597165 DOI: 10.1177/1545968316666957] [Citation(s) in RCA: 271] [Impact Index Per Article: 33.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
BACKGROUND Robot technology for poststroke rehabilitation is developing rapidly. A number of new randomized controlled trials (RCTs) have investigated the effects of robot-assisted therapy for the paretic upper limb (RT-UL). OBJECTIVE To systematically review the effects of poststroke RT-UL on measures of motor control of the paretic arm, muscle strength and tone, upper limb capacity, and basic activities of daily living (ADL) in comparison with nonrobotic treatment. METHODS Relevant RCTs were identified in electronic searches. Meta-analyses were performed for measures of motor control (eg, Fugl-Meyer Assessment of the arm; FMA arm), muscle strength and tone, upper limb capacity, and basic ADL. Subgroup analyses were applied for the number of joints involved, robot type, timing poststroke, and treatment contrast. RESULTS Forty-four RCTs (N = 1362) were included. No serious adverse events were reported. Meta-analyses of 38 trials (N = 1206) showed significant but small improvements in motor control (~2 points FMA arm) and muscle strength of the paretic arm and a negative effect on muscle tone. No effects were found for upper limb capacity and basic ADL. Shoulder/elbow robotics showed small but significant effects on motor control and muscle strength, while elbow/wrist robotics had small but significant effects on motor control. CONCLUSIONS RT-UL allows patients to increase the number of repetitions and hence intensity of practice poststroke, and appears to be a safe therapy. Effects on motor control are small and specific to the joints targeted by RT-UL, whereas no generalization is found to improvements in upper limb capacity. The impact of RT-UL started in the first weeks poststroke remains unclear. These limited findings could mainly be related to poor understanding of robot-induced motor learning as well as inadequate designing of RT-UL trials, by not applying an appropriate selection of stroke patients with a potential to recovery at baseline as well as the lack of fixed timing of baseline assessments and using an insufficient treatment contrast early poststroke.
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Affiliation(s)
- Janne M Veerbeek
- 1 MOVE Research Institute Amsterdam, VU University Amsterdam, Amsterdam, the Netherlands.,2 Neuroscience Campus Amsterdam, Amsterdam, the Netherlands.,3 VU University Medical Center, Amsterdam, the Netherlands
| | | | - Erwin E H van Wegen
- 1 MOVE Research Institute Amsterdam, VU University Amsterdam, Amsterdam, the Netherlands.,2 Neuroscience Campus Amsterdam, Amsterdam, the Netherlands.,3 VU University Medical Center, Amsterdam, the Netherlands
| | - Carel G M Meskers
- 1 MOVE Research Institute Amsterdam, VU University Amsterdam, Amsterdam, the Netherlands.,2 Neuroscience Campus Amsterdam, Amsterdam, the Netherlands.,3 VU University Medical Center, Amsterdam, the Netherlands.,5 Northwestern University, Evanston, IL, USA
| | - Gert Kwakkel
- 1 MOVE Research Institute Amsterdam, VU University Amsterdam, Amsterdam, the Netherlands.,2 Neuroscience Campus Amsterdam, Amsterdam, the Netherlands.,3 VU University Medical Center, Amsterdam, the Netherlands.,5 Northwestern University, Evanston, IL, USA.,6 Amsterdam Rehabilitation Research Center, Reade, Amsterdam, the Netherlands
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24
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van Duijnhoven HJR, Heeren A, Peters MAM, Veerbeek JM, Kwakkel G, Geurts ACH, Weerdesteyn V. Effects of Exercise Therapy on Balance Capacity in Chronic Stroke: Systematic Review and Meta-Analysis. Stroke 2016; 47:2603-10. [PMID: 27633021 DOI: 10.1161/strokeaha.116.013839] [Citation(s) in RCA: 77] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2016] [Accepted: 08/01/2016] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE The purpose of this systematic review and meta-analysis was to investigate the effects of exercise training on balance capacity in people in the chronic phase after stroke. Furthermore, we aimed to identify which training regimen was most effective. METHODS Electronic databases were searched for randomized controlled trials evaluating the effects of exercise therapy on balance capacity in the chronic phase after stroke. Studies were included if they were of moderate or high methodological quality (PEDro score ≥4). Data were pooled if a specific outcome measure was reported in at least 3 randomized controlled trials. A sensitivity analysis and consequent subgroup analyses were performed for the different types of experimental training (balance and/or weight-shifting training, gait training, multisensory training, high-intensity aerobic exercise training, and other training programs). RESULTS Forty-three randomized controlled trials out of 369 unique hits were included. A meta-analysis could be conducted for the Berg Balance Scale (28 studies, n=985), Functional Reach Test (5 studies, n=153), Sensory Organization Test (4 studies, n=173), and mean postural sway velocity (3 studies, n=89). A significant overall difference in favor of the intervention group was found for the Berg Balance Scale (mean difference 2.22 points (+3.9%); 95% confidence interval [CI], 1.26-3.17; P<0.01; I(2)=52%), Functional Reach Test (mean difference=3.12 cm; 95% CI, 0.90-5.35; P<0.01; I(2)=74%), and Sensory Organization Test (mean difference=6.77 (+7%) points; 95% CI, 0.83-12.7; P=0.03; I(2)=0%). Subgroup analyses of the studies that included Berg Balance Scale outcomes demonstrated a significant improvement after balance and/or weight-shifting training of 3.75 points (+6.7%; 95% CI, 1.71-5.78; P<0.01; I(2)=52%) and after gait training of 2.26 points (+4.0%; 95% CI, 0.94-3.58; P<0.01; I(2)=21, whereas no significant effects were found for other training regimens. CONCLUSIONS This systematic review and meta-analysis showed that balance capacities can be improved by well-targeted exercise therapy programs in the chronic phase after stroke. Specifically, balance and/or weight-shifting and gait training were identified as successful training regimens.
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Affiliation(s)
- Hanneke J R van Duijnhoven
- From the Donders Centre for Neuroscience, Department of Rehabilitation, Radboud University Medical Center, Nijmegen, The Netherlands (H.J.R.v.D., A.C.H.G., V.W.); Rehabilitation Medical Centre Groot Klimmendaal, Arnhem, The Netherlands (A.H.); Hogeschool van Arnhem en Nijmegen (HAN), School of Occupational Therapy, University of Applied Sciences, Nijmegen, The Netherlands (M.A.M.P.); Department of Rehabilitation Medicine, MOVE Research Institute, VU University Medical Centre, Amsterdam, The Netherlands (J.M.V., G.K.); Neuroscience Campus Amsterdam, VU University, Amsterdam, The Netherlands (G.K.); Department of Neurorehabilitatioan, Reade Centre of Rehabilitation and Rheumatology, Amsterdam, The Netherlands (G.K.); Department of Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, IL (G.K.); and Sint Maartenskliniek, Research, Nijmegen, The Netherlands (A.C.H.G., V.W.).
| | - Anita Heeren
- From the Donders Centre for Neuroscience, Department of Rehabilitation, Radboud University Medical Center, Nijmegen, The Netherlands (H.J.R.v.D., A.C.H.G., V.W.); Rehabilitation Medical Centre Groot Klimmendaal, Arnhem, The Netherlands (A.H.); Hogeschool van Arnhem en Nijmegen (HAN), School of Occupational Therapy, University of Applied Sciences, Nijmegen, The Netherlands (M.A.M.P.); Department of Rehabilitation Medicine, MOVE Research Institute, VU University Medical Centre, Amsterdam, The Netherlands (J.M.V., G.K.); Neuroscience Campus Amsterdam, VU University, Amsterdam, The Netherlands (G.K.); Department of Neurorehabilitatioan, Reade Centre of Rehabilitation and Rheumatology, Amsterdam, The Netherlands (G.K.); Department of Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, IL (G.K.); and Sint Maartenskliniek, Research, Nijmegen, The Netherlands (A.C.H.G., V.W.)
| | - Marlijn A M Peters
- From the Donders Centre for Neuroscience, Department of Rehabilitation, Radboud University Medical Center, Nijmegen, The Netherlands (H.J.R.v.D., A.C.H.G., V.W.); Rehabilitation Medical Centre Groot Klimmendaal, Arnhem, The Netherlands (A.H.); Hogeschool van Arnhem en Nijmegen (HAN), School of Occupational Therapy, University of Applied Sciences, Nijmegen, The Netherlands (M.A.M.P.); Department of Rehabilitation Medicine, MOVE Research Institute, VU University Medical Centre, Amsterdam, The Netherlands (J.M.V., G.K.); Neuroscience Campus Amsterdam, VU University, Amsterdam, The Netherlands (G.K.); Department of Neurorehabilitatioan, Reade Centre of Rehabilitation and Rheumatology, Amsterdam, The Netherlands (G.K.); Department of Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, IL (G.K.); and Sint Maartenskliniek, Research, Nijmegen, The Netherlands (A.C.H.G., V.W.)
| | - Janne M Veerbeek
- From the Donders Centre for Neuroscience, Department of Rehabilitation, Radboud University Medical Center, Nijmegen, The Netherlands (H.J.R.v.D., A.C.H.G., V.W.); Rehabilitation Medical Centre Groot Klimmendaal, Arnhem, The Netherlands (A.H.); Hogeschool van Arnhem en Nijmegen (HAN), School of Occupational Therapy, University of Applied Sciences, Nijmegen, The Netherlands (M.A.M.P.); Department of Rehabilitation Medicine, MOVE Research Institute, VU University Medical Centre, Amsterdam, The Netherlands (J.M.V., G.K.); Neuroscience Campus Amsterdam, VU University, Amsterdam, The Netherlands (G.K.); Department of Neurorehabilitatioan, Reade Centre of Rehabilitation and Rheumatology, Amsterdam, The Netherlands (G.K.); Department of Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, IL (G.K.); and Sint Maartenskliniek, Research, Nijmegen, The Netherlands (A.C.H.G., V.W.)
| | - Gert Kwakkel
- From the Donders Centre for Neuroscience, Department of Rehabilitation, Radboud University Medical Center, Nijmegen, The Netherlands (H.J.R.v.D., A.C.H.G., V.W.); Rehabilitation Medical Centre Groot Klimmendaal, Arnhem, The Netherlands (A.H.); Hogeschool van Arnhem en Nijmegen (HAN), School of Occupational Therapy, University of Applied Sciences, Nijmegen, The Netherlands (M.A.M.P.); Department of Rehabilitation Medicine, MOVE Research Institute, VU University Medical Centre, Amsterdam, The Netherlands (J.M.V., G.K.); Neuroscience Campus Amsterdam, VU University, Amsterdam, The Netherlands (G.K.); Department of Neurorehabilitatioan, Reade Centre of Rehabilitation and Rheumatology, Amsterdam, The Netherlands (G.K.); Department of Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, IL (G.K.); and Sint Maartenskliniek, Research, Nijmegen, The Netherlands (A.C.H.G., V.W.)
| | - Alexander C H Geurts
- From the Donders Centre for Neuroscience, Department of Rehabilitation, Radboud University Medical Center, Nijmegen, The Netherlands (H.J.R.v.D., A.C.H.G., V.W.); Rehabilitation Medical Centre Groot Klimmendaal, Arnhem, The Netherlands (A.H.); Hogeschool van Arnhem en Nijmegen (HAN), School of Occupational Therapy, University of Applied Sciences, Nijmegen, The Netherlands (M.A.M.P.); Department of Rehabilitation Medicine, MOVE Research Institute, VU University Medical Centre, Amsterdam, The Netherlands (J.M.V., G.K.); Neuroscience Campus Amsterdam, VU University, Amsterdam, The Netherlands (G.K.); Department of Neurorehabilitatioan, Reade Centre of Rehabilitation and Rheumatology, Amsterdam, The Netherlands (G.K.); Department of Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, IL (G.K.); and Sint Maartenskliniek, Research, Nijmegen, The Netherlands (A.C.H.G., V.W.)
| | - Vivian Weerdesteyn
- From the Donders Centre for Neuroscience, Department of Rehabilitation, Radboud University Medical Center, Nijmegen, The Netherlands (H.J.R.v.D., A.C.H.G., V.W.); Rehabilitation Medical Centre Groot Klimmendaal, Arnhem, The Netherlands (A.H.); Hogeschool van Arnhem en Nijmegen (HAN), School of Occupational Therapy, University of Applied Sciences, Nijmegen, The Netherlands (M.A.M.P.); Department of Rehabilitation Medicine, MOVE Research Institute, VU University Medical Centre, Amsterdam, The Netherlands (J.M.V., G.K.); Neuroscience Campus Amsterdam, VU University, Amsterdam, The Netherlands (G.K.); Department of Neurorehabilitatioan, Reade Centre of Rehabilitation and Rheumatology, Amsterdam, The Netherlands (G.K.); Department of Physical Therapy and Human Movement Sciences, Northwestern University, Chicago, IL (G.K.); and Sint Maartenskliniek, Research, Nijmegen, The Netherlands (A.C.H.G., V.W.)
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25
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Abstract
Constraint-induced movement therapy (CIMT) was developed to overcome upper limb impairments after stroke and is the most investigated intervention for the rehabilitation of patients. Original CIMT includes constraining of the non-paretic arm and task-oriented training. Modified versions also apply constraining of the non-paretic arm, but not as intensive as original CIMT. Behavioural strategies are mostly absent for both modified and original CIMT. With forced use therapy, only constraining of the non-paretic arm is applied. The original and modified types of CIMT have beneficial effects on motor function, arm-hand activities, and self-reported arm-hand functioning in daily life, immediately after treatment and at long-term follow-up, whereas there is no evidence for the efficacy of constraint alone (as used in forced use therapy). The type of CIMT, timing, or intensity of practice do not seem to affect patient outcomes. Although the underlying mechanisms that drive modified and original CIMT are still poorly understood, findings from kinematic studies suggest that improvements are mainly based on adaptations through learning to optimise the use of intact end-effectors in patients with some voluntary motor control of wrist and finger extensors after stroke.
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Affiliation(s)
- Gert Kwakkel
- Department of Rehabilitation Medicine, MOVE Research Institute Amsterdam, VU University Medical Center, Amsterdam, Netherlands; Amsterdam Rehabilitation Research Center, Reade Centre for Rehabilitation and Rheumatology, Amsterdam, Netherlands.
| | - Janne M Veerbeek
- Department of Rehabilitation Medicine, MOVE Research Institute Amsterdam, VU University Medical Center, Amsterdam, Netherlands
| | - Erwin E H van Wegen
- Department of Rehabilitation Medicine, MOVE Research Institute Amsterdam, VU University Medical Center, Amsterdam, Netherlands
| | - Steven L Wolf
- Department of Rehabilitation Medicine, Division of Physical Therapy, Atlanta VA Center for Visual and Neurocognitive Rehabilitation, Atlanta, GA, USA
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Vloothuis JDM, van Wegen EEH, Veerbeek JM, Konijnenbelt M, Visser-Meily JMA, Kwakkel G. Caregiver-mediated exercises for improving outcomes after stroke. THE COCHRANE DATABASE OF SYSTEMATIC REVIEWS 2014. [DOI: 10.1002/14651858.cd011058] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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Veerbeek JM, Kwakkel G, van Wegen EEH, Ket JCF, Heymans MW. Early prediction of outcome of activities of daily living after stroke: a systematic review. Stroke 2011; 42:1482-8. [PMID: 21474812 DOI: 10.1161/strokeaha.110.604090] [Citation(s) in RCA: 322] [Impact Index Per Article: 24.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
BACKGROUND AND PURPOSE Knowledge about robust and unbiased factors that predict outcome of activities of daily living (ADL) is paramount in stroke management. This review investigates the methodological quality of prognostic studies in the early poststroke phase for final ADL to identify variables that are predictive or not predictive for outcome of ADL after stroke. METHODS PubMed, Ebsco/Cinahl and Embase were systematically searched for prognostic studies in which stroke patients were included ≤2 weeks after onset and final outcome of ADL was determined ≥3 months poststroke. Risk of bias scores were used to distinguish high- and low-quality studies and a qualitative synthesis was performed. RESULTS Forty-eight of 8425 identified citations were included. The median risk of bias score was 17 out of 27 (range, 6-22) points. Most studies failed to report medical treatment applied, management of missing data, rationale for candidate determinants and outcome cut-offs, results of univariable analysis, and validation and performance of the model, making the predictive value of most determinants indistinct. Six high-quality studies showed strong evidence for baseline neurological status, upper limb paresis, and age as predictors for outcome of ADL. Gender and risk factors such as atrial fibrillation were unrelated to this outcome. CONCLUSIONS Because of insufficient methodological quality of most prognostic studies, the predictive value of many clinical determinants for outcome of ADL remains unclear. Future cohort studies should focus on early prediction using simple models with good clinical performance to enhance application in stroke management and research.
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Affiliation(s)
- Janne M Veerbeek
- Department of Rehabilitation Medicine, Research Institute MOVE, Room -1Y.172.06, VU University Medical Center, PO Box 7057, De Boelelaan 1117, 1007 MB Amsterdam, the Netherlands
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Kwakkel G, Veerbeek JM, Harmeling-van der Wel BC, van Wegen E, Kollen BJ. Diagnostic Accuracy of the Barthel Index for Measuring Activities of Daily Living Outcome After Ischemic Hemispheric Stroke. Stroke 2011; 42:342-6. [DOI: 10.1161/strokeaha.110.599035] [Citation(s) in RCA: 56] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Affiliation(s)
- Gert Kwakkel
- From the Department of Rehabilitation Medicine (G.K., J.M.V., E.v.W.), Research Institute MOVE, VU University Medical Center, Amsterdam, The Netherlands; the Department of Rehabilitation Medicine (G.K.), Rudolf Magnus Institute of Neuroscience, University Medical Centre Utrecht, Utrecht, The Netherlands; the Department of Rehabilitation Medicine and Physical Therapy (B.C.H.v.d.W.), Erasmus MC, University Medical Centre, Rotterdam, The Netherlands; and the Department of General Practice (B.J.K.),
| | - Janne M. Veerbeek
- From the Department of Rehabilitation Medicine (G.K., J.M.V., E.v.W.), Research Institute MOVE, VU University Medical Center, Amsterdam, The Netherlands; the Department of Rehabilitation Medicine (G.K.), Rudolf Magnus Institute of Neuroscience, University Medical Centre Utrecht, Utrecht, The Netherlands; the Department of Rehabilitation Medicine and Physical Therapy (B.C.H.v.d.W.), Erasmus MC, University Medical Centre, Rotterdam, The Netherlands; and the Department of General Practice (B.J.K.),
| | - Barbara C. Harmeling-van der Wel
- From the Department of Rehabilitation Medicine (G.K., J.M.V., E.v.W.), Research Institute MOVE, VU University Medical Center, Amsterdam, The Netherlands; the Department of Rehabilitation Medicine (G.K.), Rudolf Magnus Institute of Neuroscience, University Medical Centre Utrecht, Utrecht, The Netherlands; the Department of Rehabilitation Medicine and Physical Therapy (B.C.H.v.d.W.), Erasmus MC, University Medical Centre, Rotterdam, The Netherlands; and the Department of General Practice (B.J.K.),
| | - Erwin van Wegen
- From the Department of Rehabilitation Medicine (G.K., J.M.V., E.v.W.), Research Institute MOVE, VU University Medical Center, Amsterdam, The Netherlands; the Department of Rehabilitation Medicine (G.K.), Rudolf Magnus Institute of Neuroscience, University Medical Centre Utrecht, Utrecht, The Netherlands; the Department of Rehabilitation Medicine and Physical Therapy (B.C.H.v.d.W.), Erasmus MC, University Medical Centre, Rotterdam, The Netherlands; and the Department of General Practice (B.J.K.),
| | - Boudewijn J. Kollen
- From the Department of Rehabilitation Medicine (G.K., J.M.V., E.v.W.), Research Institute MOVE, VU University Medical Center, Amsterdam, The Netherlands; the Department of Rehabilitation Medicine (G.K.), Rudolf Magnus Institute of Neuroscience, University Medical Centre Utrecht, Utrecht, The Netherlands; the Department of Rehabilitation Medicine and Physical Therapy (B.C.H.v.d.W.), Erasmus MC, University Medical Centre, Rotterdam, The Netherlands; and the Department of General Practice (B.J.K.),
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Kwakkel G, Veerbeek JM, van Wegen EE, Nijland R, Harmeling-van der Wel BC, Dippel DW. Predictive value of the NIHSS for ADL outcome after ischemic hemispheric stroke: Does timing of early assessment matter? J Neurol Sci 2010; 294:57-61. [DOI: 10.1016/j.jns.2010.04.004] [Citation(s) in RCA: 68] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2010] [Revised: 04/07/2010] [Accepted: 04/07/2010] [Indexed: 11/26/2022]
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