Intense Arm Rehabilitation Therapy Improves the Modified Rankin Scale Score: Association Between Gains in Impairment and Function

OBJECTIVE

To evaluate the effect of intensive rehabilitation on the modified Rankin Scale (mRS), a measure of activities limitation commonly used in acute stroke studies, and to define the specific changes in body structure/function (motor impairment) most related to mRS gains.

METHODS

Patients were enrolled >90 days poststroke. Each was evaluated before and 30 days after a 6-week course of daily rehabilitation targeting the arm. Activity gains, measured using the mRS, were examined and compared to body structure/function gains, measured using the Fugl-Meyer (FM) motor scale. Additional analyses examined whether activity gains were more strongly related to specific body structure/function gains.

RESULTS

At baseline (160 ± 48 days poststroke), patients (n = 77) had median mRS score of 3 (interquartile range, 2-3), decreasing to 2 [2-3] 30 days posttherapy (p < 0.0001). Similarly, the proportion of patients with mRS score ≤2 increased from 46.8% at baseline to 66.2% at 30 days posttherapy (p = 0.015). These findings were accounted for by the mRS score decreasing in 24 (31.2%) patients. Patients with a treatment-related mRS score improvement, compared to those without, had similar overall motor gains (change in total FM score, p = 0.63). In exploratory analysis, improvement in several specific motor impairments, such as finger flexion and wrist circumduction, was significantly associated with higher likelihood of mRS decrease.

CONCLUSIONS

Intensive arm motor therapy is associated with improved mRS in a substantial fraction (31.2%) of patients. Exploratory analysis suggests specific motor impairments that might underlie this finding and may be optimal targets for rehabilitation therapies that aim to reduce activities limitations.

CLINICAL TRIAL

Clinicaltrials.gov identifier: NCT02360488.

CLASSIFICATION OF EVIDENCE

This study provides Class III evidence that for patients >90 days poststroke with persistent arm motor deficits, intensive arm motor therapy improved mRS in a substantial fraction (31.2%) of patients.

A Feasibility Study of Expanded Home-Based Telerehabilitation After Stroke

Introduction: High doses of activity-based rehabilitation therapy improve outcomes after stroke, but many patients do not receive this for various reasons such as poor access, transportation difficulties, and low compliance. Home-based telerehabilitation (TR) can address these issues. The current study evaluated the feasibility of an expanded TR program. Methods: Under the supervision of a licensed therapist, adults with stroke and limb weakness received home-based TR (1 h/day, 6 days/week) delivered using games and exercises. New features examined include extending therapy to 12 weeks duration, treating both arm and leg motor deficits, patient assessments performed with no therapist supervision, adding sensors to real objects, ingesting a daily experimental (placebo) pill, and generating automated actionable reports. Results: Enrollees (n = 13) were median age 61 (IQR 52-65.5), and 129 (52-486) days post-stroke. Patients initiated therapy on 79.9% of assigned days and completed therapy on 65.7% of days; median therapy dose was 50.4 (33.3-56.7) h. Non-compliance doubled during weeks 7-12. Modified Rankin scores improved in 6/13 patients, 3 of whom were >3 months post-stroke. Fugl-Meyer motor scores increased by 6 (2.5-12.5) points in the arm and 1 (-0.5 to 5) point in the leg. Assessments spanning numerous dimensions of stroke outcomes were successfully implemented; some, including a weekly measure that documented a decline in fatigue (p = 0.004), were successfully scored without therapist supervision. Using data from an attached sensor, real objects could be used to drive game play. The experimental pill was taken on 90.9% of therapy days. Automatic actionable reports reliably notified study personnel when critical values were reached. Conclusions: Several new features performed well, and useful insights were obtained for those that did not. A home-based telehealth system supports a holistic approach to rehabilitation care, including intensive rehabilitation therapy, secondary stroke prevention, screening for complications of stroke, and daily ingestion of a pill. This feasibility study informs future efforts to expand stroke TR. Clinical Trial Registration: Clinicaltrials.gov, # NCT03460587.

Abstract WP193: A Pilot Study of Expanded Home-Based Telerehabilitation After Stroke

Introduction: High doses of activity-based rehabilitation therapy help but many patients do not receive this, e.g., due to access, cost, and low compliance. Home-based telerehabilitation (TR) can address these issues. A prior study found 6 weeks of TR targeting arm motor deficits after stroke comparably efficacious vs. therapy delivered in-clinic. Here, we evaluated a program expanded in TR dose and scope.

Methods: Adults with stroke and arm motor deficits saw a licensed OT/PT who performed a live exam then supervised home-based TR (6 days/week, 1 hour/day) through games, exercises, and education. New features examined herein included (a) extending therapy to 12 weeks, (b) treating both arm and leg motor deficits, (c) augmented reality games, (d) wireless smart devices, (e) ingesting a daily experimental (placebo) pill, (f) using functional objects, (g) evaluating social networks, and (h) automated actionable reports.

Results: Patients (n=13) were median age 61 [IQR=52-65.5], and 129 [52-486] days post-stroke. Patients initiated therapy on 79.9% of the 72 assigned days and completed >30 min on 65.7% of days, for a 12-week total therapy dose of 50.4 [33.3 - 56.7] hours. Non-compliant days during weeks 7-12 were double those of weeks 1-6. Modified Rankin scores improved by 1 level in 6/13 patients, 3 of whom were > 3month post-stroke. Fugl-Meyer motor scores increased by 6 [2.5-12.5] points in the arm and 1 [-0.5 - 5] point in the leg, mainly in weeks 1-6. Geriatric Depression Scale scores fell from 3 [1-5] at baseline (3/13 with depression) to 1 [0-4] (0/13 with depression) at week 12. Augmented reality gaming and functional objects were well received. Communication with smart devices was challenging. The experimental pill was taken, with photo verification, on 90.9% of days. Enrollees had large social networks. Automatic reports reliably notified study personnel when compliance was low or behavioral scores were concerning.

Conclusions: High doses of home-based TR targeting arm and leg motor deficits are feasible and improve functional outcomes, motor deficits, and mood. The current system automates experimental pill ingestion and actionable reports to clinicians. Compliance declined over time, suggesting the need for novel approaches to extended periods of TR.

Efficacy of Home-Based Telerehabilitation vs In-Clinic Therapy for Adults After Stroke: A Randomized Clinical Trial

Importance

Many patients receive suboptimal rehabilitation therapy doses after stroke owing to limited access to therapists and difficulty with transportation, and their knowledge about stroke is often limited. Telehealth can potentially address these issues.

Objectives

To determine whether treatment targeting arm movement delivered via a home-based telerehabilitation (TR) system has comparable efficacy with dose-matched, intensity-matched therapy delivered in a traditional in-clinic (IC) setting, and to examine whether this system has comparable efficacy for providing stroke education.

Design, Setting, and Participants

In this randomized, assessor-blinded, noninferiority trial across 11 US sites, 124 patients who had experienced stroke 4 to 36 weeks prior and had arm motor deficits (Fugl-Meyer [FM] score, 22-56 of 66) were enrolled between September 18, 2015, and December 28, 2017, to receive telerehabilitation therapy in the home (TR group) or therapy at an outpatient rehabilitation therapy clinic (IC group). Primary efficacy analysis used the intent-to-treat population.

Interventions

Participants received 36 sessions (70 minutes each) of arm motor therapy plus stroke education, with therapy intensity, duration, and frequency matched across groups.

Main Outcomes and Measures

Change in FM score from baseline to 4 weeks after end of therapy and change in stroke knowledge from baseline to end of therapy.

Results

A total of 124 participants (34 women and 90 men) had a mean (SD) age of 61 (14) years, a mean (SD) baseline FM score of 43 (8) points, and were enrolled a mean (SD) of 18.7 (8.9) weeks after experiencing a stroke. Among those treated, patients in the IC group were adherent to 33.6 of the 36 therapy sessions (93.3%) and patients in the TR group were adherent to 35.4 of the 36 assigned therapy sessions (98.3%). Patients in the IC group had a mean (SD) FM score change of 8.36 (7.04) points from baseline to 30 days after therapy (P < .001), while those in the TR group had a mean (SD) change of 7.86 (6.68) points (P < .001). The covariate-adjusted mean FM score change was 0.06 (95% CI, -2.14 to 2.26) points higher in the TR group (P = .96). The noninferiority margin was 2.47 and fell outside the 95% CI, indicating that TR is not inferior to IC therapy. Motor gains remained significant when patients enrolled early (<90 days) or late (≥90 days) after stroke were examined separately.

Conclusions and Relevance

Activity-based training produced substantial gains in arm motor function regardless of whether it was provided via home-based telerehabilitation or traditional in-clinic rehabilitation. The findings of this study suggest that telerehabilitation has the potential to substantially increase access to rehabilitation therapy on a large scale.

Trial Registration

ClinicalTrials.gov identifier: NCT02360488.

Predicting Gains With Visuospatial Training After Stroke Using an EEG Measure of Frontoparietal Circuit Function

The heterogeneity of stroke prompts the need for predictors of individual treatment response to rehabilitation therapies. We previously studied healthy subjects with EEG and identified a frontoparietal circuit in which activity predicted training-related gains in visuomotor tracking. Here we asked whether activity in this same frontoparietal circuit also predicts training-related gains in visuomotor tracking in patients with chronic hemiparetic stroke. Subjects (n = 12) underwent dense-array EEG recording at rest, then received 8 sessions of visuomotor tracking training delivered via home-based telehealth methods. Subjects showed significant training-related gains in the primary behavioral endpoint, Success Rate score on a standardized test of visuomotor tracking, increasing an average of 24.2 ± 21.9% (p = 0.003). Activity in the circuit of interest, measured as coherence (20–30 Hz) between leads overlying ipsilesional frontal (motor cortex) and parietal lobe, significantly predicted training-related gains in visuomotor tracking change, measured as change in Success Rate score (r = 0.61, p = 0.037), supporting the main study hypothesis. Results were specific to the hypothesized ipsilesional motor-parietal circuit, as coherence within other circuits did not predict training-related gains. Analyses were repeated after removing the four subjects with injury to motor or parietal areas; this increased the strength of the association between activity in the circuit of interest and training-related gains. The current study found that (1) Eight sessions of training can significantly improve performance on a visuomotor task in patients with chronic stroke, (2) this improvement can be realized using home-based telehealth methods, (3) an EEG-based measure of frontoparietal circuit function predicts training-related behavioral gains arising from that circuit, as hypothesized and with specificity, and (4) incorporating measures of both neural function and neural injury improves prediction of stroke rehabilitation therapy effects.

Abstract 11: Targeted Training of a Motor-parietal Circuit Improves Its Behavioral Output

Introduction: Emerging brain mapping methods measure function of individual brain circuits and have the potential to predict a patient’s gains and needs in the context of stroke rehabilitation. We recently described a motor-parietal circuit underlying visuomotor tracking and defined an EEG coherence measure (reflecting connectivity) that predicts visuomotor learning. Here we test the hypothesis that this EEG metric predicts visuomotor learning after stroke.

Methods: After baseline dense-array resting EEG, patients with chronic hemiparetic stroke were provided with a home-based gaming system. During 9 half-hour training sessions, patients played games in which the stroke-affected arm tracked objects moving on the tabletop. Games were implemented using augmented reality, which we have found has advantages for motor training and in which virtual objects are projected into the real world and modified during game play.

Results: Subjects (n=12) had affected arm Box&Blocks score of 15±12 and were 35±26 mo post-stroke. Visuomotor tracking improved significantly: on a standardized visuomotor test using the gaming system, scores increased from 60.5±11.5% to 74.0±3.2% (p=0.003). Gains were specific, as other behaviors were unchanged. Individual gains in visuomotor tracking score were predicted by the EEG connectivity metric from our prior study, coherence between leads overlying ipsilesional primary motor cortex (M1i) and ipsilesional lateral parietal region in the high beta (20-30 Hz) range, with higher connectivity predicting greater visuomotor tracking gains (r=0.61, p=0.037). This too was specific, as connectivity between M1i and other brain areas did not predict gains. Secondary analysis found that baseline visuomotor tracking scores correlated with several EEG connectivity measures, all inversely and all between M1i and contralesional regions.

Conclusions: We found that (1) training that targets a specific brain circuit improves behavioral output of that circuit, and (2) an EEG measure of brain connectivity within that circuit predicts these behavioral gains--both with specificity. This approach may be useful for many neural circuits and their respective rehabilitation-related behaviors.