Baseline Predictors of Response to Repetitive Task Practice in Chronic Stroke.
Michael A Dimyan, Stacey Harcum, Elsa Ermer and 9 others
PMID 35616437WHAT IT FOUND
Baseline factors including non-dominant stroke side, longer time since stroke, better proprioception, faster movement times, lower grip strength, and specific genetics predicted improvement in chronic stroke patients undergoing robot-assisted therapy.
Key findings
01A predictive model using six baseline variables accurately identified responders to therapy, with 16 of 42 participants achieving the minimal clinically important difference in arm function.
02Neurophysiological measures and brain imaging did not predict treatment response, whereas clinical and genetic factors did.
03Participants showed mean improvement in Fugl-Meyer scores, but only 38% met the threshold for being considered a responder.
STILL TO COME
How it was doneWhat they foundWhat it means for PTsWhat it means for OTs
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What it does not show
The study had a small sample size of 42 participants, which limits the generalizability of the predictive model. The model requires genetic testing (klotho genotype), which may not be readily available in clinical settings. The study was a single-group design without a control, so it cannot determine if the factors predict response to this specific therapy versus natural recovery or other treatments. Attrition was significant, with only 42 of 68 consented participants completing the primary outcome measures. The predictive model has not been validated in an independent population.
Declared interests
The authors declared no conflict of interest. One author served on advisory boards for companies involved in rehabilitation technology, but the specific technology used in the study was not from those companies.
The easy way to misread this
Do not use this model to deny therapy to patients who do not fit the predictor profile. The study was small and uncontrolled, and the high accuracy of the model has not been validated in other groups. Additionally, the inclusion of genetic testing makes immediate clinical implementation difficult.