Changing stroke rehab and research worldwide now.Time is Brain! trillions and trillions of neurons that DIE each day because there are NO effective hyperacute therapies besides tPA(only 12% effective). I have 523 posts on hyperacute therapy, enough for researchers to spend decades proving them out. These are my personal ideas and blog on stroke rehabilitation and stroke research. Do not attempt any of these without checking with your medical provider. Unless you join me in agitating, when you need these therapies they won't be there.

What this blog is for:

My blog is not to help survivors recover, it is to have the 10 million yearly stroke survivors light fires underneath their doctors, stroke hospitals and stroke researchers to get stroke solved. 100% recovery. The stroke medical world is completely failing at that goal, they don't even have it as a goal. Shortly after getting out of the hospital and getting NO information on the process or protocols of stroke rehabilitation and recovery I started searching on the internet and found that no other survivor received useful information. This is an attempt to cover all stroke rehabilitation information that should be readily available to survivors so they can talk with informed knowledge to their medical staff. It lays out what needs to be done to get stroke survivors closer to 100% recovery. It's quite disgusting that this information is not available from every stroke association and doctors group.

Wednesday, October 18, 2023

Standardized measurement of balance and mobility post-stroke: Consensus-based core recommendations from the third Stroke Recovery and Rehabilitation Roundtable

You do realize how fucking useless 'measurements' are to getting survivors recovered?  Or do you not understand what survivors want?

I consider this Roundtable worthless until they listen to survivors!

Standardized measurement of balance and mobility post-stroke: Consensus-based core recommendations from the third Stroke Recovery and Rehabilitation Roundtable

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.

Introduction

Stroke is a major disabling condition in the adult population worldwide, and recovery of post-stroke mobility is largely dependent on the ability to regain lower extremity function, sitting, and standing balance.1 The International Classification of Functioning, Disability and Health (ICF) framework2 defines “mobility” as: (1) changing and maintaining body position (d410-d429), (2) carrying, moving, and handling objects (d430-d449), (3) walking and moving (d450-d469), and (4) moving around using transportation (d470-d489).2 These functions determine independence in mobility and are often chosen as a rehabilitation priority by stroke survivors.3 Consequently, improving mobility is selected as a primary objective in stroke recovery and rehabilitation trials.4,5 Although epidemiological studies remain scarce,6 prospective cohort studies suggest that 807–95%8 of people with stroke regain walking independence, with or without the use of walking aids, within the first 3–6 months post-stroke.6 This rate drops to 60% in individuals unable to walk in the first week post-stroke.9 Besides the strong time-dependency of using outcome measurement instruments (OMIs) in the first 3 months,10 recovery of walking has been significantly associated with factors, such as an intact corticospinal tract,11 muscle strength of the most affected lower extremity,11 continence,11 sitting,12 standing balance,13 and cognition.11
Currently, the comparison or pooling of existing prognostic stroke studies and trials applying similar interventions is hindered by the heterogeneity of mobility-related OMI.11,14 For example, many different distances are used in the literature to measure walking speed, such as the 3, 5, 7, 8, 10, or 12 meters.15 Each walking speed test is based on different testing protocols resulting into different psychometric properties.15 Standardization of OMI allows for meta-synthesis of data from different studies needed for adequate power exploration of the many complex body functions that underpin independent mobility. Thus, there is an urgent need for a recommended core set of OMI allowing synthesis and comparison of participant data. Ultimately, these recommendations could lead to high-quality, participant-specific data sets to aid the progress toward precision medicine in stroke rehabilitation.
So far, no overarching recommendations for using the same OMI and biomechanical metrics for balance and mobility exists in the stroke research community. Existing recommendations15,16,17 that guide clinical practice are too elaborate, as they recommend without substantiating multiple OMI for the same construct16 whereas recommendations on biomechanical metrics are lacking for measuring balance and mobility. Consensus on measuring the fine-grained movement quality measures that are sensitive and specific, able to capture small behavioral changes, is imperative, not only for distinguishing behavioral restitution from compensation in stroke recovery and rehabilitation trials, but also to make proper interpretation of longitudinal neuroimaging studies (e.g. functional magnetic resonance imaging (fMRI), diffusion tensor imaging (DTI), and electroencephalography (EEG)) that may underly functional recovery post-stroke.18
The International Stroke Recovery and Rehabilitation Alliance aims to facilitate breakthroughs for stroke survivors through global collaborations on specific themes.19 Through this initiative, we invited international experts in the field of stroke mobility to take part in the third Stroke Recovery and Rehabilitation Roundtable (SRRR3). The SRRR3 builds on achieved consensus on defining different time points post-stroke,20 recommended core set of OMI (SRRR1)21 and biomechanical metrics to measure quality of upper extremity movement (SRRR2).18 These metrics allow us to differentiate between recovery achieved from behavioral restitution or compensation.22 Furthermore, the achieved consensus is based on different ICF constructs and includes recommendations on standardized assessment protocols, and equipment for quantitative assessment of mobility. Therefore, the work in this SRRR3 addressed the following questions to aid future stroke rehabilitation and recovery studies:
1.
Which baseline characteristics for participants should be added to the SRRR1 recommendations in the field of lower extremity motor function, balance, and mobility?
2.
At what time points within the first 6 months post-stroke should lower extremity motor function, balance, and mobility outcomes be measured?
3.
How should constructs of lower extremity motor function, balance, and mobility be defined?
4.
Which core set of OMI and accompanying assessment protocols should be recommended for investigating lower extremity motor function, balance and mobility post-stroke?
5.
Which biomechanical metrics should be recommended for quantifying quality of balance and mobility recovery post-stroke?
6.
Which types of technological equipment should be recommended for measuring quality of balance and mobility recovery post-stroke?
 
More at link.

No comments:

Post a Comment