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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] [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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Embrechts E, Schröder J, Nijboer TCW, van der Waal C, Lafosse C, Truijen S, Saeys W. Does visuospatial neglect contribute to standing balance within the first 12 weeks post-stroke? A prospective longitudinal cohort study. BMC Neurol 2024; 24:37. [PMID: 38254026 PMCID: PMC10801963 DOI: 10.1186/s12883-023-03475-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 11/24/2023] [Indexed: 01/24/2024] Open
Abstract
BACKGROUND Visuospatial neglect (VSN) has been suggested to limit standing balance improvement post-stroke. However, studies investigating this association longitudinally by means of repeated within-subject measurements early post-stroke are lacking. This prospective longitudinal cohort study evaluates the longitudinal association of egocentric and allocentric VSN severity with 1) standing balance independence and 2) postural control and weight-bearing asymmetry (WBA) during quiet standing, in the first 12 weeks post-stroke. METHODS Thirty-six hemiplegic individuals after a first-ever unilateral stroke were evaluated at weeks 3, 5, 8 and 12 post-stroke. Egocentric and allocentric VSN severity were evaluated using the Broken Hearts Test. The standing unperturbed item of the Berg Balance Scale (BBS-s) was used to clinically evaluate standing independence. Posturographic measures included measures of postural control (mediolateral (ML)/anteroposterior (AP) net center-of-pressure velocities (COPvel)) and WBA during quiet standing. A linear mixed model was used to examine longitudinal associations between egocentric and allocentric VSN, and BBS-s, COPvel-ML, COPvel-AP and WBA within the first 12 weeks post-stroke. RESULTS Egocentric (β = -0.08, 95%CI[-0.15;-0.01], P = .029) and allocentric VSN severity (β = -0.09, 95%CI[-0.15; -0.04], P = .002) were significant independent factors for BBS-s scores in the first 12 weeks post-stroke. Egocentric and allocentric VSN were no significant independent factors for COPvel-ML, COPvel-AP and WBA in the first 12 weeks post-stroke. CONCLUSIONS Allocentric and egocentric VSN severity were significantly associated with decreased standing independence, but not impaired postural control or greater asymmetric weight-bearing, in the early subacute post-stroke phase. This may involve traditional VSN measures being not sensitive enough to detect fine-grained VSN deficits due to a ceiling effect between 5 and 8 weeks post-stroke, once the individual regains standing ability. Future studies may require more sensitive VSN measurements to detect such deficits. Trial registration Clinicaltrials.gov. unique identifier NCT05060458.
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Affiliation(s)
- Elissa Embrechts
- Department of Rehabilitation Sciences and Physiotherapy (REVAKI), Research Group MOVANT, University of Antwerp, Wilrijk, Belgium.
- Department of Experimental Psychology, Helmholtz Institute, Utrecht University, Utrecht, The Netherlands.
| | - Jonas Schröder
- Department of Rehabilitation Sciences and Physiotherapy (REVAKI), Research Group MOVANT, University of Antwerp, Wilrijk, Belgium
| | - Tanja C W Nijboer
- Department of Experimental Psychology, Helmholtz Institute, Utrecht University, Utrecht, The Netherlands
- Center of Excellence for Rehabilitation Medicine, UMC Brain Center, University Medical Center Utrecht, Utrecht University and De Hoogstraat Rehabilitation, Utrecht, The Netherlands
| | - Charlotte van der Waal
- Department of Rehabilitation Sciences and Physiotherapy (REVAKI), Research Group MOVANT, University of Antwerp, Wilrijk, Belgium
| | - Christophe Lafosse
- Department of Neurorehabilitation, RevArte Rehabilitation Hospital, Edegem, Belgium
| | - Steven Truijen
- Department of Rehabilitation Sciences and Physiotherapy (REVAKI), Research Group MOVANT, University of Antwerp, Wilrijk, Belgium
| | - Wim Saeys
- Department of Rehabilitation Sciences and Physiotherapy (REVAKI), Research Group MOVANT, University of Antwerp, Wilrijk, Belgium
- Department of Neurorehabilitation, RevArte Rehabilitation Hospital, Edegem, Belgium
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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] [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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