The dose of robot-assisted gait therapy may influence functional recovery in a multidisciplinary rehabilitation program: an exploratory retrospective study

Robot-assisted gait training (RAGT) has been introduced in clinical practice to increase training intensity in patients with neurological disorders. In this observational study, we investigated the effect of the number of RAGT sessions on functional recovery in a heterogeneous cohort of patients. We included patients with a diagnosis of gait impairment due to a neurological disease. A set of demographic, clinical, functional and training parameters was collected for each participant. Each patient received RAGT with an exoskeleton (Lokomat; Hocoma, Volketswil, Switzerland) as part of a multidisciplinary rehabilitation program. We stratified the patients as good responders and poor responders and investigated the effect of varying the number of RAGT sessions with a series of logistic regression models. A total of 143 patients were included in this analysis (good responders = 65, poor responders = 78). Good responder patients spent more days in the hospital (P < 0.01) and underwent a higher number of RAGT sessions (P = 0.04) compared to poor responder patients. Logistic regression models estimated that adding six RAGT sessions mildly increased (by approximately 4%) the probability of a patient becoming a good responder. The rehabilitation phase (subacute/chronic) appeared to be the main determinant of the probability of being a good responder, and stroke patients appeared to be more sensitive to changes in the number of RAGT sessions. Our results seem to confirm previous observations that robotic therapy increases the intensity of rehabilitation, possibly leading to a greater functional recovery in subacute patients with greater impairment.