Archives

All posts by Heather Ruppert

Clinical Scenario:

The patient is a 72 year old female diagnosed with a left CVA 8 months prior.  Initially at diagnosis, patient spent 4 days within an acute care hospital and 2 weeks within an acute rehabilitation setting before being discharged to her own home. Following discharge, patient participated in 8 weeks of outpatient physical and occupational therapy to continue to improve independence around her home. Since that time, she has not participated in any further rehabilitation program.

On examination, patient displayed abnormal synergistic patterns with right AROM movements and noted difficulty isolating movements without decreasing speed of movement. With right shoulder flexion AROM, patient displayed flexion synergy pattern (shoulder elevation, shoulder flexion and abduction in conjunction with elbow flexion) to the level of her shoulder. When patient was asked to demonstrate extending her arm in front of her to reach for a cup, patient demonstrated decreased speed in movement, slight dyscoordination of movement, and forward trunk flexion in order to obtain the object.  Patient states her goals are to improve overall arm function, such as being able to reach into a cabinet without difficulty, as well as hand function for activities such as cooking.

PICO:

In adults presenting with moderate to severe upper extremity impairments (Fugl-Meyer assessment score <50) following chronic stroke (>6 months), is robotic therapy more effective than conventional therapy in improving upper extremity function?

Search Strategy:

Databases Searched: PubMed, CINAHL, and Web of Science

Inclusion Criteria: participants experienced a single CVA at least 6 months ago, participants presented with moderate (if not severe) deficits in upper extremity function meaning Fugl-Meyer scores were no greater than 50, participant age range was 40-70 years old, robotic system provided hepatic feedback but allowed for active movement by participant, English was the main language, all articles were published in the past 10 years

Exclusion criteria: severe spasticity in involved limb (Modified Ashworth Scale 3 or higher), minor deficits in involved limb (Fugl-Meyer score 55 or higher), age <40 years old, and a robotic system that was EMG driven and therefore controlling all aspects of patient’s arm movement (ie patient only performing passive movements).

Search terms used for all 3 databases: upper extremity function, chronic stroke, and robotic therapy

Results:

Author, Year, Country Patient Population Study Type/Level of Evidence Outcomes Key Results
Brokaw

(2014)

United States

N=12 subjects

Adults, mean age of 57 y.o. Presenting with residual UE impairments(FMA 22.4(7.4)) after single CVA at least 1 year ago

Randomized cross over study design, Level II evidence

Pedro: 5/11

FMA1

ARAT2

Box and Block

Test (B&B)

FMA: Within group difference: (p A3: 0.26, B4: 0.51), Between group comparison not significant (p=0.68)

ARAT: Within group analysis (p A: 0.018, B:0.84), no significance of treatment type and order (p=0.15) meaning robotic therapy was superior in both groups

B&B: significance between treatment type and order (p=0.024), within group difference only significant for Group A at follow up (p=0.044)

Reinkensmeyer

(2012)

United States

N=26

Adults, mean age of 60 y.o

Presenting with residual UE impairments (FMA score 10-35) after single CVA occurring at least 11 months ago

Randomized controlled trial,

Level II evidence

Pedro: 6/11

FMA

MAL5

Box and Block

Test (B&B)

Improvements in scores greater for robotic therapy but scores not statistically significant

FMA: 24.1/27.4**/26.5

22.9/23.8**/23

MAL: 0.20/0.30**/0.30

           0.20/0.20**/0.20

B&B: 0.50/2.0**/1.9

0.30/0.60/0.80

Susanto

(2015)

China

N=19

Adults between the age of 41-65 y.o.

Presenting with moderate upper limb deficits (FMA score 20-50) after single CVA 6-24 months prior

Pilot Randomized Controlled Trial,

Level II evidence

Pedro: 7/11

ARAT

WMFT6

FMA

Both groups showed improvements in scores: only robotic group was able to maintain significant increase in score at 6 month follow up:

ARAT: 17.3/31.3**/28.33**

             20.8/28.5**/27.4

WMFT: 11.22/20.11**/17.67

               12.7/16.8/15.6

FMA: 31.89/37/38

         34.60/40.3**/37.3

Between group comparison: significant score change in robotic group for WMFT. No significance noted at 6 month follow up however.

Klamroth Marganska

(2014)

Switzerland

N=73

Adults between the age of 42-72 y.o.

Presenting with moderate to severe arm paresis (FMA score of 8-38) after single CVA at least 6 months prior

Multicenter, parallel group randomized controlled trial

Level II evidence

Pedro: 7/11

FMA

WMFT

Robotic therapy group showed quicker gains in scores for motor function recovery, however scores similar between groups at 34 week follow up

FMA: change in score for robot group significant (p=0.041) after 8 weeks.   Mean score change between groups not statistically significant.

WMFT: no significance noted between robot and control group (p=0.212) after 24 sessions/8 weeks

Norouzi-

Gheidari

(2012)

Canada

Adults who have experienced single CVA presenting with moderate UE impairments

Participated in prior study involving robotic and conventional therapy

Systematic review and meta-analysis

Level I evidence

PRISMA checklist: 18/27

FMA

FIM7

FMA: no significant difference among studies (p=0.28) when both groups received interventions for same length of time. Significance (p=0.004) when additional robotic therapy applied.

FIM: No statistical significance between groups for improvements in ADL’s (either same duration/intensity or additional robotic therapy)

Limitations:

  • Small sample sizes
  • Robotic system’s not compared to one another; hard to determine which features of the system are leading to improvements in motor recovery
  • Conventional therapy not clearly defined in all studies
  • Statistically significant differences between groups very minimal

Clinical Bottom Line:

  • There is both Level I and II evidence demonstrating minor but present change in upper extremity motor recovery with the use of robotic and conventional therapy for individuals with chronic deficits in UE function as a result of CVA
  • Greater improvements in scores were noted with robotic therapy immediately after intervention however at follow up robotic therapy was not superior to conventional therapy in most studies
  • Two studies found significance when robotic therapy was applied in addition to conventional therapy

Application to Clinical Case Scenario:

  • Two factors to take into consideration: Cost effectiveness knowing that a robotic exoskeleton is rather expensive, however robotic systems allow repetitive task movements at a higher intensity and with greater precision (more so than what a therapist may be able to provide over extended period of time).
  • If arm exoskeleton is available in clinic, robotic therapy could be combined with traditional therapeutic interventions for maximal upper extremity motor recovery
  • Treatment:  First couple of weeks utilizing robotic exoskeleton alone: robotic system should provide hepatic feedback to maximize motor learning.  Remaining weeks: conventional therapy with emphasis on functional tasks such as reach and grasp or fine motor movements such as pinch.
  • Goal: Gross motor movements are refined with robotic exoskeleton during those first initial weeks with progression to gross motor movements against gravity without the exoskeleton as well as fine motor movements or any other movement the patient wanted to achieve during final weeks prior to discharge.

References:

  1. Brokaw E, Nichols D, Holley R, Lum P. Robotic therapy provides a stimulus for upper limb motor recovery after stroke that is complementary to and distinct from conventional therapy. Neurorehabil Neural Repair. 2014;28(4):367-376.
  2. Klamroth-Marganska V, Blanco J, Campen K, et al. Three-dimensional, task-specific robot therapy of the arm after stroke: A multicentre, parallel-group randomised trial. The Lancet Neurology. 2014;13(2):159-166. doi: http://dx.doi.org.libproxy.temple.edu/10.1016/S1474-4422(13)70305-3.
  3. Norouzi-Gheidari N, Archambault PS, Fung J. Effects of robot-assisted therapy on stroke rehabilitation in upper limbs: Systematic review and meta-analysis of the literature. J Rehabil Res Dev. 2012;49(4):479–96. http://dx.doi.org/10.1682/JRRD.2010.10.0210
  4. Reinkensmeyer DJ, Wolbrecht ET, Chan V, Chou C, Cramer SC, Bobrow JE. Comparison of 3D, Assist-as-Needed Robotic Arm/Hand Movement Training Provided with Pneu-WREX to Conventional Table Top Therapy Following Chronic Stroke. American journal of physical medicine & rehabilitation / Association of Academic Physiatrists. 2012;91(11 0 3):S232-S241. doi:10.1097/PHM.0b013e31826bce79.
  5. Susanto EA, Tong RKY, Ockenfeld C, Ho NSK. Efficacy of robot-assisted fingers training in chronic stroke survivors: A pilot randomized-controlled trial. Journal of NeuroEngineering and Rehabilitation. 2015;12:42. http://go.galegroup.com.libproxy.temple.edu/ps/i.do?p=AONE&sw=w&u=temple_main&v=2.1&it=r&id=GALE%7CA412502874&sid=summon&asid=e6e160c574c1931cbce913c8d1827e73.