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
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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