In Parkinson's disease, gait disturbances represent one of the most disabling motor symptoms, frequently associated with an increased risk of falls, loss of independence and a negative impact on quality of life. In recent years, the interest in automated robotic devices for gait training for Parkinson's Disease patients has grown. With their consistent, symmetrical lower-limb trajectories, robotic devices provide many of the proprioceptive inputs that may increase cortical activation and improve motor function while minimizing the intervention of a therapist. So the main aim of this study will be to analyze, through a clinical and an instrumental evaluation, the effectiveness of a Lokomat gait training in subjects affected by Parkinson's disease in comparison to a ground conventional gait training.
In Parkinson's disease, gait disturbances represent one of the most disabling motor symptoms, frequently associated with an increased risk of falls, loss of independence and a negative impact on quality of life. Patients with Parkinson's Disease, display an abnormal gait pattern (reduced gait speed, shortened stride length, and a longer double-limb support phase) and they are typically unable to generate a proper stride length and to maintain a steady gait rhythm. Therefore, improving gait ability is a primary goal of physical therapy in patients with Parkinson's Disease. Conventional Physiotherapy aimed at enabling patients to maintain their maximum level of activity and independence is often prescribed, but treatments for gait give only limited benefits. Promising reports have suggested that external sensory cueing (acoustic, visual, verbal cues), through an attention mechanism, may help to increase the deficient internal cueing in Parkinson's Disease, thus improving gait pattern.Treadmill training, which induces a constant horizontal movement, generates a rhythmic input for locomotion, coordinating the upper and lower limbs, offering a useful retraining modality that complements conventional therapy. In the last decade some researchers focused on the use of partial body weight support systems on the ground or with the combination of treadmill training (Body weight support-treadmill). These systems, which improves the ability to stand in an upright position with a redistribution of forces on the trunk, thus disengaging the girdle and upper limbs, suggests a greater improvement in motor performance and walking ability compared with conventional phisiotherapy. In recent years, the interest in automated robotic devices for gait training for Parkinson's Disease patients has grown. With their consistent, symmetrical lower-limb trajectories, robotic devices provide many of the proprioceptive inputs that may increase cortical activation and improve motor function while minimizing the intervention of a therapist. Moreover, proprioceptive inputs may share mechanisms that are common to external cues, thus stimulating the cerebellar-premotor pathway to improve gait. Besides,the preprogrammed walking pattern corresponds to normal gait kinematics including: gait cycle timing, inter-limb and inter-joint coordination, appropriate limb loading, and afferent signaling. A recent randomized controlled trial that compared a comprehensive rehabilitative program vis-à-vis robot-assisted gait training has shown that the latter displays some advantages. A pilot, non-controlled study explored the effect of robot-assisted gait training on freezing of gait.Still, despite recent interest in automated locomotion training, there is still very little evidence to support the superiority of this technique over traditional gait training. A computerized gait analysis represents an useful aid to study gait disturbances. The analysis sets objectives and defines quantitative data about gait changes occurred in a patient, in relation to the progression of underlying disease or th effectiveness of treatments administered (medication, surgery or physical). So the main aim of this study will be to analyze, through a clinical and an instrumental evaluation, the effectiveness of a Lokomat gait training in subjects affected by Parkinson's disease in comparison to a ground conventional gait training
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
TREATMENT
Masking
DOUBLE
Enrollment
40
Patients allocated to the Experimental group performed a Robotic Assistested Gait Training by means of the Lokomat. The Lokomat is robotic device set up as an exoskeleton on the lower limbs of the patient. The system uses a dynamic body weight-support system to support he participant above a motorized treadmill synchronized with the Lokomat.
Patients allocated to the Control Group performed a general exercise program and a conventional gait training. The general exercise program consisted in cardiovascular warm-up exercises, muscle stretching exercises, active-assisted or active isometric and isotonic exercises for the main muscles of the trunk and limbs, relaxation exercises, coordination and dual task activities and balance exercises. The conventional gait therapy was based on the proprioceptive neuromuscular facilitation (PNF) concept (lasting 30 minutes), with rhythmic initiation, slow reversal, and agonistic reversal exercises applied to the pelvic region, each 10 minutes long. The same trained therapist treated all the patients in this group and standardized the duration of each part of the treatment.
Casa di Cura Habilita
Ciserano, Bergamo, Italy
RECRUITINGTimed 6 meter walking test
Timed 6-meter walking test evaluate the gait speed. Individual walks without assistance 10 meters and the time is measured for the intermediate 6 meters to allow for acceleration and deceleration
Time frame: 4 weeks
Movement Disorder Society-Unified Parkinson's Disease Rating Scale Disease rating scale motor sub-scores)
a scale to assess the motor specific examination for Parkinson's Disease
Time frame: 4 weeks
Functional Independence Measure
to assess daily activities functional autonomy
Time frame: 4 weeks
Barthel Index
to assess the degree of disability
Time frame: 4 weeks
Tinetti Test
to assess balance and gait ability and the falls risk
Time frame: 4 weeks
Parkinson's Disease Questionnaire -39 item
to assess quality of life
Time frame: 4 weeks
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