Luka Zavec (Author), Tina Grapar Žargi (Author)

Abstract

Uvod: Multipla skleroza je kronična avtoimuna nevrodegenerativna bolezen osrednjega živčnega sistema, ki najpogosteje prizadene mlajše odrasle. Značilne vnetne demielinizacije z aksonskimi okvarami pogosto vodijo v kompleksne nevrološke izpade. Zaradi motenj v hoji je usmerjanje rehabilitacije k izboljšanju mobilnosti zelo pomembno. Pri hujših omejitvah je še posebno obetavna robotsko podprta vadba hoje, ki jo omogoča lokomat. Metode: Literaturo smo iskali v podatkovni zbirki PubMed novembra 2023. Rezultati: V pregled je bilo vključenih osem raziskav. Primerjava med preiskovalno in kontrolno skupino je v treh raziskavah pokazala statistično značilno izboljšanje hitrosti (ob koncu + 0,08 m/s pri 10MWT oziroma 4,1 s manj pri 25FWT) in vzdržljivosti hoje (8 –33,9 m daljša prehojena razdalja ob koncu) pri uporabi lokomata. V eni raziskavi so to ugotovili na področju ravnotežja (2,6 točke več na Berg lestvici kot na začetku). Uporaba lokomata je v primerjavi s konvencionalnim pristopom vplivala tudi na statistično značilno izboljšanje jakosti ekstenzorjev kolena (39,2 N več) ter kadence (6,6 koraka več) in dolžine koraka (0,03 m daljši korak). Zaključki: Na podlagi rezultatov lahko zaključimo, da robotsko podprta vadba hoje z lokomatom lahko vpliva na izboljšanje hitrosti, vzdržljivosti in drugih parametrov hoje pri pacientih z multiplo sklerozo. Potrebne so nadaljnje raziskave za določitev optimalne kombinacije parametrov vadbe z lokomatom.

Keywords

multipla skleroza;rehabilitacija;robotsko podprta vadba;hoja;lokomat;

Data

Language: Slovenian
Year of publishing:
Typology: 1.02 - Review Article
Organization: UL ZF - University College of Health Studies
UDC: 615.82/.84
COBISS: 227107843 Link will open in a new window
ISSN: 1318-2102
Views: 20
Downloads: 0
Average score: 0 (0 votes)
Metadata: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Other data

Secondary language: English
Secondary title: Effects of robot-assisted gait training in multiple sclerosis patients
Secondary abstract: Background: Multiple sclerosis is a chronic autoimmune neurodegenerative disease of the central nervous system that most commonly affects young adults. Characteristic inflammatory demyelinations with axonal damage often lead to complex neurological deficits. Due to gait disturbances, the focus of rehabilitation is on improving mobility. Robotassisted gait training, enabled by the Lokomat, is particularly promising for those with severe conditions. Methods: A literature search was conducted by reviewing the PubMed database in November 2023. Results: Eight studies were included in this review. Comparison between experimental and control groups in three stud ies showed statistically significant improvements in walking speed (0.08 m/s faster in 10MWT and 4.1 s less in 25FWT) and endurance (walked 8-33.9 m further) with Lokomat. Only one study reported such improvements in balance (scored 2.6 points more on the Berg scale). Compared to conventional approaches, Lokomat also showed statistically significant improvements in knee extensor strength (+ 39.2 N), cadence (+ 6.6 steps), and step length (+ 0.03 m). Conclusions: Based on the results, we can conclude that robot-assisted gait training with the Lokomat can improve walking speed, endurance, and other gait parameters in patients with multiple sclerosis. Further research is needed to determine the optimal combination of Lokomat training parameters.
Secondary keywords: multiple sclerosis;rehabilitation;robot-assisted training;gait;Lokomat;
Type (COBISS): Article
Pages: str. 28-36
Volume: ǂLetn. ǂ32
Issue: ǂšt. ǂ2
Chronology: dec. 2024
ID: 25962067