Although gait abnormality is one of the most disabling events following stroke, cognitive, and psychological impairments can be devastating. The Lokomat is a robotic that has been used widely for gait rehabilitation in several movement disorders, especially in the acute and subacute phases. The aim of this study was to evaluate the effectiveness of gait robotic rehabilitation in patients affected by chronic stroke. Psychological impact was also taken into consideration. Thirty patients (13 women and 17 men) affected by chronic stroke entered the study. All participants underwent neurological examination with respect to ambulation, Ashworth, Functional Independence Measure, and Tinetti scales to assess their physical status, and Hamilton Rating Scale for Depression, Psychological General Well-being Index, and Coping Orientation to Problem Experienced to evaluate the Lokomat-related psychological impact before and after either a conventional treatment or the robotic training. During each rehabilitation period (separated by a no-treatment period), patients underwent a total of 40 1 h training sessions (i.e. five times a week for 8 weeks). After the conventional treatment, the patients did not achieve a significant improvement in the functional status, except balance (P<0.001) and walking ability (P<0.01), as per the Tinetti scale. Indeed, after the robotic rehabilitation, significant improvements were detected in almost all the motor and psychological scales that we investigated, particularly for Psychological General Well-being Index and Coping Orientation to Problem Experienced. Manual and robotic-assisted body weight-supported treadmill training optimizes the sensory inputs relevant to step training, repeated practice, as well as neuroplasticity. Several controlled trials have shown a superior effect of Lokomat treatment in stroke patients' walking ability and velocity in particular. Therefore, our preliminary results proved that active robotic training not only facilitates gait and physical function but also the psychological status, even in patients affected by chronic stroke.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1097/MRR.0000000000000114 | DOI Listing |
Rheumatol Int
January 2025
Department of Internal Medicine, General Hospital Oberndorf, Teaching Hospital of the Paracelsus Medical University, Salzburg, Austria.
Rheumatoid arthritis (RA) is a chronic autoimmune disease marked by systemic inflammation. While RA primarily affects the joints, its systemic effects may lead to an increased cerebro- and cardiovascular risk. Atherosclerosis of the carotid arteries is a significant risk factor for cerebrovascular events and serves as a surrogate marker for cardiovascular risk.
View Article and Find Full Text PDFJ Neuroeng Rehabil
January 2025
Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Vita Stråket 12, Floor 4, 41346, Gothenburg, Sweden.
Background: Myoelectric pattern recognition (MPR) combines multiple surface electromyography channels with a machine learning algorithm to decode motor intention with an aim to enhance upper limb function after stroke. This study aims to determine the feasibility and preliminary effectiveness of a novel intervention combining MPR, virtual reality (VR), and serious gaming to improve upper limb function in people with chronic stroke.
Methods: In this single case experimental A-B-A design study, six individuals with chronic stroke and moderate to severe upper limb impairment completed 18, 2 h sessions, 3 times a week.
J Cardiovasc Magn Reson
January 2025
Department of Cardiology, Angiology and Intensive Care Medicine, Deutsches Herzzentrum der Charité, Augustenburger Platz 1, 13353 Berlin, Germany; Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Background And Aims: Heart failure (HF) is an imminent global health problem. Yet established screening algorithms for asymptomatic pre-HF, allowing for early and effective preventive interventions, are largely lacking. The HERZCHECK trial, conducted in structurally underserved rural regions of North-Eastern Germany, aims to close this gap by evaluating the feasibility, diagnostic efficacy, and cost-effectiveness of a fully mobile, telemedically-supervised screening approach, combining cardiac magnetic resonance imaging (CMR) and laboratory testing as central elements.
View Article and Find Full Text PDFJ Thorac Cardiovasc Surg
January 2025
University of Maryland School of Medicine, Division of Cardiothoracic Surgery. Electronic address:
Objective: Over 30% of patients presenting with acute type A aortic dissection (ATAAD) are considered high - risk or inoperable. This study aims to investigate the early and mid-term outcomes of complex endovascular aortic repair of aortic root, ascending aorta, and aortic arch among patients with ATAAD.
Methods: From January 2018 to January 2023, 29 patients who were considered high risk for open operation underwent endovascular aortic repair.
Exp Gerontol
January 2025
Cardiovascular Epidemiology of Aging, Department of Cardiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Germany; Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany. Electronic address:
Background: In light of growing evidence highlighting interactions between cardiac and brain health, we investigated associations of biomarkers of neurodegenerative diseases with adverse outcomes (all-cause and cardiovascular mortality, major cardiovascular events, and stroke) in persons with chronic coronary syndrome (CCS).
Methods: We used data from a cohort of persons with CCS for whom major adverse events were recorded over a follow-up of 20 years. We measured biomarkers of neurodegenerative diseases in baseline blood samples, using the Single-Molecule Array Technology on a HD-1 Analyzer.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!