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.

Showing posts with label associated reactions. Show all posts
Showing posts with label associated reactions. Show all posts

Thursday, March 11, 2021

Comment: difference between assessment of upper limb movement and upper limb associated reactions during walking

If this is a comment I can't figure out what it is. My arm swing is non-existant and what there is has a bent arm. So the first thing needed is to stop all my arm spasticity, including fingers.   I assume AR means associated reactions since it is not defined.

Comment: difference between assessment of upper limb movement and upper limb associated reactions during walking

Abstract

Background

While walking, people swing their arms in a specific pattern. This specific arm swing pattern during walking has shown to have a beneficial effect on gait as it reduces walking energy cost and optimizes balance. In several patient populations the arm movements can be directly affected (e.g. in patients with acquired brain injury (ABI)), which in turn has a negative effect on their gait pattern, balance and energy cost of walking.

Main text

In December 2019, Kahn et al. published a paper in JNER concerning the quantification of upper limb associated reactions (ARs) during walking in people with ABI. ARs are defined as “an effort-dependent phenomenon causing an involuntary increase in upper limb muscle tone, with awkward and uncomfortable postures”. These upper limb ARs appear often in patients with ABI and can have an important effect on their gait. The authors calculated kinematic measures using three-dimensional gait analysis relating to range of motion, variability and mean position over the gait cycle for the different upper limb joints (shoulder, elbow, wrist) during self-selected steady-state walking. Based on differences they found between an ABI cohort and healthy control cohort, the authors concluded that they were able to quantify ARs during walking in this population. This calculation, however, is not specific for upper limb ARs. In fact, the authors calculated general measures of arm posture (e.g. mean position over the gait cycle) or arm movement (e.g. range of motion and variability) during gait. Previous research has already indicated that other factors than ARs can influence the posture or movement of the arm during gait in patients with brain injury, such as voluntary compensations for gait instability and contractures or spasticity of upper arm muscles. Yet, it is not possible to disentangle the different causes of the altered arm posture during steady-state walking based on the proposed measures.

Conclusion

The kinematic arm measures proposed by Kahn et al. (J Neuroeng Rehabil 16(1):160, 2019) are not a direct measure of ARs, but provide a quantification of overall deviation of arm posture or movement during gait. Depending on the specific study design these measures may provide insights in ARs.

Background

While walking, people swing their arms. At self-selected or preferred walking speeds, this arm swing in healthy adults shows a typical pattern as it is coordinated with the leg movements; while the left leg (right) swings forward, the right (left) arm swings forward [1]. At first sight, this arm swing appears a meaningless and irrelevant by-product of movements of the trunk which are passively transferred to the arms. Previous research, however, has shown that the arm movements during gait are not entirely passive, but are partly active to achieve this specific coordination with the legs [2]. Such specific “normal” coordinated arm swing has shown to reduce walking energy cost and have a positive effect on balance [1]. The arm swing or arm posture during gait can be quantified using movement analysis, and summarized in kinematic outcome parameters. As such, these kinematic outcome parameters are a direct reflection of the arm movement pattern. In patients with central neurologic pathologies, such as stroke, cerebral palsy and Parkinson’s disease, different symptoms (e.g. spasticity) can affect or cause the altered arm movement patterns, which in turn has an effect on the coordination between the arms and legs during gait and as such influences the gait pattern, balance and energy cost of walking [1].

Main text

In December 2019, Kahn et al. published a paper in JNER concerning the quantification of upper limb associated reactions (ARs] during walking in people with acquired brain injury [3]. In their study, the authors have defined ARs as “an effort-dependent phenomenon causing an involuntary increase in upper limb muscle tone, with awkward and uncomfortable postures”. These ARs appear often and can impede the gait pattern, balance and walking energy cost in patients with acquired brain injury (ABI). This is a very relevant topic, worthy of investigation as quantification of this phenomenon allows to assess its effect on gait and can influence rehabilitation programs to address this issue to improve gait in these patients. In their paper, Kahn et al. assessed whether it was possible to quantify and assess ARs during walking from joint kinematics measured using three-dimensional motion analysis. The authors calculated measures relating to range of motion, variability (i.e. standard deviation) and mean position over the gait cycle for the different joints (shoulder, elbow, wrist) during self-selected steady-state walking and compared these to a healthy control cohort. Based on the differences between the ABI cohort and the healthy control cohort, the authors concluded that they were able to quantify ARs during walking in this population. This calculation, however, is not specific for upper limb ARs. In fact, the authors calculated kinematic measures of arm posture (e.g. mean position over the gait cycle) or arm movement (e.g. range of motion and variability) during gait, which are an overall reflection of the movement pattern. The authors, in this case, seem to assume that their kinematic arm measures in patients with ABI during gait are a direct reflection of the ARs, but the proposed kinematic measures cannot distinguish between the different causes or influencing factors of the altered movement pattern.

Previous research has already indicated that other factors (than ARs) can influence the posture or movement of the arm during gait in patients with brain injury as well. Children with cerebral palsy, for instance, have been shown to alter their arm movements during walking as a result of increased gait instability [4, 5]. In CP, the arm posture shows similarities to those described in toddlers that recently learned to walk (i.e. the elbow is more flexed and the hand is held in a high position e.g. above the pelvis), but contrary to ARs, this arm posture not necessarily unwanted or involuntary as it has been shown to be a solution to fulfill the requirements of postural stability and forward propulsion [6]. Furthermore, previous research in patients with stroke has indicated that spasticity affects the upper limb position (i.e. clinically the described with a flexed elbow, flexed wrist and closed fist) and lower limb position (i.e. usually the knee extensor muscles are involved resulting in a stiff knee, as are the ankle plantar-flexor muscles resulting in an equinovarus foot) when evaluated in isolation [7, 8]. The upper limb spasticity also affects the altered arm posture during gait, as Botulinum-toxin treatment of spastic upper arm muscles improves their arm swing movements and, consequently, their gait pattern [9, 10].

This means that an altered score on the kinematic arm measure quantified by Kahn et al. [3] is not necessarily an indication of ARs, but does show abnormal upper limb posture or movement during gait. For instance, if a patient has an elbow flexion contracture, which would already be visible when standing still, the patient will also show increased elbow flexion during walking which is not an AR. Similarly, it could be possible that a patient increases trunk and arm movements or adopts a specific arm posture to compensate for increased gait instability. These compensatory movements are then not directly related to the effort of walking, but are wanted/voluntary and, thus, do not align with the definition of ARs.

On the other hand, the phenomenon of ARs is scarcely investigated and is a relevant field of study. It may be possible to assess ARs using the proposed kinematic arm measures by Kahn et al. [3] if investigators create a study design which increases the effort of the patient without increasing his walking speed (as this may increase the velocity-dependent spasticity in these patients) and without changing the stability constraints of the walking condition (as this may influence gait stability). In this way, the proposed kinematic arm measures, which actually measure abnormal arm movement patterns, can be used to specifically assess ARs.

Conclusions

In conclusion, the kinematic arm measures proposed by Kahn et al. [3] are not a direct measure of ARs, but provide a quantification of overall deviation of arm posture or movement during gait in patients with ABI. Depending on the specific study design such measures may provide insights in ARs in different populations in future studies.

 

Saturday, December 28, 2019

The nature and extent of upper limb associated reactions during walking in people with acquired brain injury

 I got nothing out of this, hopefully your doctor can explain how this is going to get you 100% recovered.  If you get my upper arm and hand spasticity cured this problem would cease to exist. Solve the correct problem, spasticity, not this secondary effect of spasticity. THIS is why we need a stroke strategy, we wouldn't be wasting time on secondary issues, we would solve the primary problem.

The nature and extent of upper limb associated reactions during walking in people with acquired brain injury



Abstract

Background

Upper limb associated reactions (ARs) are common in people with acquired brain injury (ABI). Despite this, there is no gold-standard outcome measure and no kinematic description of this movement disorder. The aim of this study was to determine the upper limb kinematic variables most frequently affected by ARs in people with ABI compared with a healthy cohort at matched walking speed intention.

Methods

A convenience sample of 36 healthy control adults (HCs) and 42 people with ABI who had upper limb ARs during walking were recruited and underwent assessment of their self-selected walking speed using the criterion-reference three dimensional motion analysis (3DMA) at Epworth Hospital, Melbourne. Shoulder flexion, abduction and rotation, elbow flexion, forearm rotation and wrist flexion were assessed. The mean angle, standard deviation (SD), peak joint angles and total joint angle range of motion (ROM) were calculated for each axis across the gait cycle. On a group level, ANCOVA was used to assess the between-group differences for each upper limb kinematic outcome variable. To quantify abnormality prevalence on an individual participant level, the percentage of ABI participants that were outside of the 95% confidence interval of the HC sample for each variable were calculated.

Results

There were significant between-group differences for all elbow and shoulder abduction outcome variables (p < 0.01), most shoulder flexion variables (except for shoulder extension peak), forearm rotation SD and ROM and for wrist flexion ROM. Elbow flexion and shoulder abduction were the axes most frequently affected by ARs. Despite the elbow being the most prevalently affected (38/42, 90%), a large proportion of participants had abnormality, defined as ±1.96 SD of the HC mean, present at the shoulder (32/42, 76%), forearm (20/42, 48%) and wrist joints (10/42, 24%).

Conclusion

This study provides valuable information on ARs, and highlights the need for clinical assessment of ARs to include all of the major joints of the upper limb. This may inform the development of a criterion-reference outcome measure or classification system specific to ARs.

Background

People with acquired brain injury (ABI) often present with movement abnormalities including upper limb associated reactions (ARs) during walking [1, 2]. Associated reactions are prevalent, recently being reported as a key goal area in 43% of people in a large stroke cohort (n = 964) [3]. Associated reactions are an effort-dependent phenomenon causing an involuntary increase in upper limb muscle tone, with awkward and uncomfortable postures [4]. Normal arm swing in walking is important to reduce energy expenditure [5], enhance gait stability and balance [6] and facilitate leg swing for faster walking speeds [7,8,9]. Abnormal upper limb kinematics resulting from ARs may negatively impact gait [10], balance [11], dynamic upper limb function [12, 13] and activities of daily living [10] for people with ABI. The treatment of ARs is therefore commonly a focus for physical and pharmacological management [3, 14].
Despite the prevalence and significance of ARs, there are many issues that exist in this field, such as, inconsistent terminology, no gold-standard assessment, unconfirmed contributing factors and varied treatment without supporting evidence [15]. In regards to assessment, there is currently no gold-standard outcome measure, with most having poor ecological validity for walking, involving stationary tests performed in a seated position [4]. The elbow joint is frequently the focus of assessment [4], despite literature suggesting that ARs affect all joints of the upper limb [16, 17]. Therefore, investigation into the upper limb movement abnormalities caused by ARs during walking is required.
Instrumented three-dimensional motion analysis (3DMA) is the criterion-reference for objective evaluation of joint kinematics during walking [18]. Despite the potential for 3DMA to fulfil the requirements of detailed dynamic upper limb assessment, it is not yet widely integrated into research or clinical practice. To date there have only been a few studies that have developed upper limb marker sets. These have been used for evaluation of arm posture during walking in healthy controls (HCs) [19, 20], paediatric cerebral palsy [21,22,23] and adults with stroke [2, 24]. While these studies have refined the use of upper body marker sets in gait analysis there has been no research to date in applying 3DMA specifically for the evaluation of ARs. Given that clinically, people with ARs and their therapists often describe ARs in terms of the visual impact, 3DMA is an appropriate methodology to quantify ARs.
A comprehensive assessment of the kinematics of upper limb ARs during walking in ABI may provide insight into the key abnormalities, facilitate the development of a criterion-reference outcome measure, help guide assessment, and clinical decision-making regarding therapeutic interventions. The aim of this study was therefore to determine the upper limb kinematic variables most frequently affected by ARs in people with ABI compared with a healthy cohort.