Arm Motor Recovery After Ischemic Stroke: A Focus on Clinically Distinct Trajectory Groups

Interpreting Variations in Fugl-Meyer Assessment Protocols: Results and Recommendations From a Nominal Group Consensus Process

OBJECTIVE

To identify variations among administration and scoring instructions of 6 upper extremity Fugl-Meyer Assessment (FMA-UE) protocols and to achieve consensus regarding optimal administration procedures.

DESIGN

Nominal group consensus technique comprised of iterative independent reviews of protocol content, anonymous voting, and group consensus meetings.

SETTING

Clinicians working in clinical practice and research settings participated in virtual meetings via Zoom.

PARTICIPANTS

Ten experts in stroke rehabilitation and administration of the FMA-UE contributed to the interprofessional consensus group.

INTERVENTIONS

Not applicable.

MAIN OUTCOME MEASURES

Qualitative reviews of each FMA-UE protocol and rater responses (agree/disagree) regarding variations in general administration instructions (ie, instructions that could affect the scoring of many individual test items) were discussed and analyzed during a 3-phase consensus process. An a priori target of 80% or greater agreement was used to determine group consensus.

RESULTS

Consensus was attained for 7 of 10 general administration instructions. Recommendations from our consensus group summarize "best practice" general instructions for researchers and clinicians. A case example, in which we found up to a 21-point difference between the highest and lowest FMA-UE scores, highlights the potential effect of these protocol variations.

CONCLUSIONS

Variations among FMA-UE administration protocols during stroke rehabilitation studies can lead to discrepancies in the interpretation and translation of research findings across institutions and limit the perceived value and uptake of standardized assessments for evidence-based practice. The results of this nominal group consensus provide a first step toward developing cohesive FMA-UE recommendations for wider dissemination and review.

Post-Stroke Brain Health Monitoring and Optimization: A Narrative Review

Significant advancements have been made in recent years in the acute treatment and secondary prevention of stroke. However, a large proportion of stroke survivors will go on to have enduring physical, cognitive, and psychological disabilities from suboptimal post-stroke brain health. Impaired brain health following stroke thus warrants increased attention from clinicians and researchers alike. In this narrative review based on an open timeframe search of the PubMed, Scopus, and Web of Science databases, we define post-stroke brain health and appraise the body of research focused on modifiable vascular, lifestyle, and psychosocial factors for optimizing post-stroke brain health. In addition, we make clinical recommendations for the monitoring and management of post-stroke brain health at major post-stroke transition points centered on four key intertwined domains: cognition, psychosocial health, physical functioning, and global vascular health. Finally, we discuss potential future work in the field of post-stroke brain health, including the use of remote monitoring and interventions, neuromodulation, multi-morbidity interventions, enriched environments, and the need to address inequities in post-stroke brain health. As post-stroke brain health is a relatively new, rapidly evolving, and broad clinical and research field, this narrative review aims to identify and summarize the evidence base to help clinicians and researchers tailor their own approach to integrating post-stroke brain health into their practices.

Sensitivity to Change and Responsiveness of the Upper Extremity Fugl-Meyer Assessment in Individuals With Moderate to Severe Acute Stroke

BACKGROUND

The Fugl-Meyer Assessment-Upper Extremity (FMA-UE) is a widely used outcome measure for quantifying motor impairment in stroke recovery. Meaningful change (responsiveness) in the acute to subacute phase of stroke recovery has not been determined.

OBJECTIVE

Determine responsiveness and sensitivity to change of the FMA-UE from 1-week to 6-weeks (subacute) after stroke in individuals with moderate to severe arm impairment who received standard clinical care.

METHODS

A total of 51 participants with resulting moderate and severe UE hemiparesis after stroke had FMA-UE assessment at baseline (within 2 weeks of stroke) and 6-weeks later. Sensitivity to change was assessed using Glass's delta, standardized response means (SRM), standard error of measure (SEM), and minimal detectable change (MDC). Responsiveness was assessed with the minimal clinically important difference (MCID), estimated using receiver operating characteristic curve analysis with patient-reported global rating of change scales (GROC) and a provider-reported modified Rankin Scale (mRS) as anchors.

RESULTS

The MCID estimates were 13, 12, and 9 anchored to the GROC Arm Weakness, GROC Recovery, and mRS. Glass's delta and the SRM revealed large effect sizes, indicating high sensitivity to change, (∆ = 1.24, 95% CI [0.64, 1.82], SRM = 1.10). Results for the SEM and MDC were 2.46 and 6.82, respectively.

CONCLUSION

The estimated MCID for the FMA-UE for individuals with moderate to severe motor impairment from 1 to 6-weeks after stroke is 13. These estimates will provide clinical context for FMA-UE change scores by helping to identify the change in upper-extremity motor impairment that is both beyond measurement error and clinically meaningful.

Measuring Arm and Hand Joint Kinematics to Estimate Impairment During a Functional Reach and Grasp Task after Stroke

BACKGROUND

Current approaches to characterizing deficits in upper limb movements after stroke typically focus either on changes in a functional measure, for example, how well a patient can complete a task, or changes in impairment, for example, isolated measurements of joint range of motion. However, there can be notable dissociations between static measures of impairment versus those of function.

OBJECTIVE

We develop a method to measure upper limb joint angles during performance of a functional task and use measurements to characterize joint impairment in the context of a functional task.

METHODS

We developed a sensorized glove that can precisely measure select finger, hand, and arm joints while participants complete a functional reach-to-grasp task involving manipulation of a sensorized object.

RESULTS

We first characterized the accuracy and precision of the glove's joint angle measurements. We then measured joint angles in neurologically intact participants (n = 4 participants, 8 limbs) to define the expected distribution of joint angle variation during task execution. These distributions were used to normalize finger, hand, and arm joint angles in stroke participants (n = 6) as they performed the task. We present a participant-specific visualization of functional joint angle variance which illustrated that stroke participants with nearly identical clinical scores exhibited unique patterns of joint angle variation.

CONCLUSIONS

Overall, measuring individual joint angles in the context of a functional task may inform whether changes in functional scores over recovery or rehabilitation are driven by changes in impairment or the development of compensatory strategies, and provide a quantified path toward personalized rehabilitative therapy.

Prognosis of Individual-Level Mobility and Daily Activities Recovery From Acute Care to Community, Part 2: A Proof-of-Concept Single Group Prospective Cohort Study

OBJECTIVE

To demonstrate a proof-of-concept for prognostic models of post-stroke recovery on activity level outcomes.

DESIGN

Longitudinal cohort with repeated measures from acute care, inpatient rehabilitation, and post-discharge follow-up to 6 months post-stroke.

SETTING

Enrollment from a single Midwest USA inpatient rehabilitation facility with community follow-up.

PARTICIPANTS

One-hundred fifteen persons recovering from stroke admitted to an acute rehabilitation facility (N=115).

INTERVENTIONS

Not applicable.

MAIN OUTCOME MEASURE(S)

Activity Measure for Post-Acute Care Basic Mobility and Daily Activities domains administered as 6 Clicks and patient-reported short forms.

RESULTS

The final Basic Mobility model defined a group-averaged trajectory rising from a baseline (pseudo-intercept) T score of 35.5 (P<.001) to a plateau (asymptote) T score of 56.4 points (P<.001) at a negative exponential rate of -1.49 (P<.001). Individual baseline scores varied by age, acute care tissue plasminogen activator, and acute care length of stay. Individual plateau scores varied by walking speed, acute care tissue plasminogen activator, and lower extremity Motricity Index scores. The final Daily Activities model defined a group-averaged trajectory rising from a baseline T score of 24.5 (P<.001) to a plateau T score of 41.3 points (P<.001) at a negative exponential rate of -1.75 (P<.001). Individual baseline scores varied by acute care length of stay, and plateau scores varied by self-care, upper extremity Motricity Index, and Berg Balance Scale scores.

CONCLUSIONS

As a proof-of-concept, individual activity-level recovery can be predicted as patient-level trajectories generated from electronic medical record data, but models require attention to completeness and accuracy of data elements collected on a fully representative patient sample.

Predictors for Upper-Limb Functional Recovery Trajectory in Individuals Receiving Stroke Rehabilitation: A Secondary Analysis of Data from Randomized Controlled Trials

BACKGROUND

The objective of the study was to determine predictors for upper-limb functional recovery trajectory after occupational therapy in a population with chronic stroke.

METHODS

In this retrospective secondary analysis, Fugl-Meyer Assessment-Upper Extremity (FMA-UE) scores before and after intervention and at the 3-month follow-up were used to divide 105 participants with chronic stroke into three groups of recovery trajectories: fast (participants who reached an improvement of 7 after intervention), extended (those who reached an improvement of 7 at follow-up), and limited (those who did not reach an improvement of 7) recovery. Comparisons among the three groups were made in demographics, stroke characteristics, and baseline assessment scores. Logistic regression analyses were performed to determine predictors for group membership.

RESULTS

Time after onset of stroke and the baseline scores of FMA-UE, Stroke Impact Scale-Hand (SIS-Hand), Wolf Motor Function Test (WMFT)-Quality, WMFT-Time scores, Motor Activity Log-Amount of Use (MAL-AOU), and Motor Activity Log-Quality of Movement (MAL-QOM) scores were significantly different among the three groups. Univariate logistic regressions confirmed that SIS-Hand, WMFT-Quality, WMFT-Time, MAL-AOU, and MAL-QOM were significant predictors for both the fast versus limited recovery group membership and the extended versus limited group membership. Time after stroke onset and baseline FMA-UE were additional predictors for the fast versus limited recovery group membership.

CONCLUSION

These findings may assist healthcare professionals in making optimal therapeutic decisions and in informing clients and caregivers about the outcomes of stroke recovery.

Effects of Functional Acupuncture on Upper Limb Spasticity After Ischemic Stroke: A Protocol for a Randomized Controlled Parallel Clinical Trial

Background

Upper limb spasticity (ULS) is a common complication after stroke, which seriously affects the quality of life and rehabilitation of patients. There are different treatment methods for post-stroke spasticity (PSS). Our group found that functional acupuncture (FA) can effectively improve forearm spasticity and hand dysfunction after stroke, but the efficacy of ULS needs to be further verified. Therefore, this subject has mainly used clinical randomized controlled trials to evaluate the clinical efficacy of FA in the treatment of ULS after ischemic stroke.

Method

This is a parallel design and randomized controlled trial. We selected 108 patients who met the predefined criteria and randomized them into two groups, the experimental group and the control group. The experimental group receives FA and routine rehabilitation treatment. The control group received traditional acupuncture (TA) and routine rehabilitation treatment. All patients received 20 courses of treatment for 4 weeks, and the modified Ashworth score (MAS), clinical neurological deficit score (CSS), Fugl-Meyer upper extremity function assessment (FMA-UE), and the Modified Barthel Index (MBI) scores were evaluated before and after treatment.

Discussion

This trial is mainly to study the clinical efficacy of FA in the treatment of ULS after ischemic stroke. It will not only provide a new idea for the clinical treatment of upper limb post-stroke spasticity (ULPSS) but also will provide effective experimental support and a theoretical basis for the clinic.

Trial registration

China Clinical Trials Registry No. ChiCTR2100050440. Registered on 27 August 27 2021.

Retrospective Robot-Measured Upper Limb Kinematic Data From Stroke Patients Are Novel Biomarkers

Background: The efficacy of upper-limb Robot-assisted Therapy (ulRT) in stroke subjects is well-established. The robot-measured kinematic data can assess the biomechanical changes induced by ulRT and the progress of patient over time. However, literature on the analysis of pre-treatment kinematic parameters as predictive biomarkers of upper limb recovery is limited.

Objective: The aim of this study was to calculate pre-treatment kinematic parameters from point-to-point reaching movements in different directions and to identify biomarkers of upper-limb motor recovery in subacute stroke subjects after ulRT.

Methods: An observational retrospective study was conducted on 66 subacute stroke subjects who underwent ulRT with an end-effector robot. Kinematic parameters were calculated from the robot-measured trajectories during movements in different directions. A Generalized Linear Model (GLM) was applied considering the post-treatment Upper Limb Motricity Index and the kinematic parameters (from demanding directions of movement) as dependent variables, and the pre-treatment kinematic parameters as independent variables.

Results: A subset of kinematic parameters significantly predicted the motor impairment after ulRT: the accuracy in adduction and internal rotation movements of the shoulder was the major predictor of post-treatment Upper Limb Motricity Index. The post-treatment kinematic parameters of the most demanding directions of movement significantly depended on the ability to execute elbow flexion-extension and abduction and external rotation movements of the shoulder at baseline.

Conclusions: The multidirectional analysis of robot-measured kinematic data predicts motor recovery in subacute stroke survivors and paves the way in identifying subjects who may benefit more from ulRT.