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.

Thursday, November 19, 2020

Predictors of Motor, Daily Function, and Quality-of-Life Improvements After Upper-Extremity Robot-Assisted Rehabilitation in Stroke

 

And just why would we want predictions of failure rather than EXACT STROKE PROTOCOLS leading to 100% recovery?

Predictors of Motor, Daily Function, and Quality-of-Life Improvements After Upper-Extremity Robot-Assisted Rehabilitation in Stroke

 2014, American Journal of Occupational Therapy
 Pai-Chuan Huang, Yu-Wei Hsieh, Chin-Man Wang, Ching-Yi Wu,Shu-Chun Huang, Keh-Chung Lin

Pai-Chuan Huang, ScD, OTR/L,
 is PostdoctoralFellow, Department of Occupational Therapy andGraduate Institute of Behavioral Sciences, College ofMedicine, Chang Gung University, Taoyuan, Taiwan, andHealthy Aging Research Center at Chang GungUniversity, Taoyuan, Taiwan.
Yu-Wei Hsieh, PhD,
 is Assistant Professor,Department of Occupational Therapy and GraduateInstitute of Behavioral Sciences, College of Medicine,Chang Gung University, Taoyuan, Taiwan, and HealthyAging Research Center at Chang Gung University,Taoyuan, Taiwan.
Chin-Man Wang, MD,
 is Attending Physician,Department of Physical Medicine and Rehabilitation,Chang Gung Memorial Hospital, Linkou, Taiwan.
Ching-Yi Wu, ScD, OTR/L,
 is Professor and Chair,Department of Occupational Therapy and Graduate Institute ofBehavioral Sciences, College of Medicine, Chang GungUniversity, Taoyuan, Taiwan, and Healthy Aging ResearchCenter at Chang Gung University, Taoyuan, Taiwan.
Shu-Chun Huang, MD,
 is Attending Physician,Department of Physical Medicine and Rehabilitation,Chang Gung Memorial Hospital, Linkou, Taiwan.
Keh-Chung Lin, ScD, OTR/L,
 is Professor, School ofOccupational Therapy, College of Medicine, National TaiwanUniversity and Division of Occupational Therapy, Department ofPhysical Medicine and Rehabilitation, National Taiwan UniversityHospital, 17, F4, Xu Zhou Road, Taipei, Taiwan;kehchunglin@ntu.edu.tw
OBJECTIVE.
 A subgroup of patients benefiting most from robot-assisted therapy (RT) has not yet been described. We examined the predictors of improved outcomes after RT.
METHOD.
Sixty-six patients with stroke receiving RT were analyzed. The outcome measures were the Fugl-Meyer Assessment (FMA), Wolf Motor Function Test (WMFT), Motor Activity Log (MAL), and Stroke Impact Scale (SIS). The potential predictors were age, side of lesion, time since onset, Modified Ashworth Scale(MAS) scores, accelerometer data, Box and Block Test (BBT) scores, and kinematic parameters.
RESULTS.
 BBT scores were predictive of FMA (29%) and MAL (9%
2
15%) improvements. Reduced shoulder flexion synergy, as measured by less shoulder abduction during forward reach, and MAS–distal were predictive of WMFT–function improvements. MAS–distal was predictive of SIS–physical improvements. Demographic variables did not predict outcomes.
CONCLUSION.
Manual dexterity was a valuable predictor of motor impairment and daily function after RT.Outcomes at different levels may have different predictors.
Huang, P.-C., Hseih, Y.-W., Wang, C.-M., Wu, C.-Y., Huang, S.-C., & Lin, K.-C. (2014). Predictors of motor, dailyfunction, and quality-of-life improvements after upper-extremity robot-assisted rehabilitation in stroke.
 American Journal of Occupational Therapy, 68,
 325–333. http://dx.doi.org/10.5014/ajot.2014.010546

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