Clinical Efficacy of Neuromuscular Exercise Training Combined with Semiconductor Laser Therapy on Patients with Knee Osteoarthritis
Notice bibliographique
Résumé
ObjectiveTo observe the effects of neuromuscular exercise (NEMEX) training combined with semiconductor laser therapy on patients with knee osteoarthritis (KOA).MethodsA total of 60 patients with knee osteoarthritis who were treated in the Rehabilitation Medicine Department of the First Affiliated Hospital of Bengbu Medical University from August 2023 to March 2024 were selected and randomly divided into control group and observation group using a random number table method, with 30 cases in each group. The control group received conventional rehabilitation treatments, including joint mobilization and medium-frequency electrical stimulation, along with semiconductor laser therapy at a wavelength of 808 nm and an irradiation power of 400-800 mW, continuous irradiation, 20 minutes per session, once daily, five times weekly for a total of four weeks. The observation group received NEMEX training in addition, including 10 minutes of warm-up exercise; 40 minutes of NEMEX training (stability, posture orientation, lower limb muscle strength training, and functional exercises); and a 10-minute cool-down exercise (involving gait adjustment and stretching), once daily, five times weekly for four weeks. Before and after treatment, Visual Analog Scale (VAS) was used to assess the degree of pain; Western Ontario and McMaster University Osteoarthritis Index (WOMAC) and Lysholm Knee Score were used to assess knee joint function; Berg Balance Scale (BBS) was used to assess balance function; the surface electromyography system was used to record the root mean square (RMS) of surface electromyography (sEMG) signals of the quadriceps and hamstring muscles during the squatting and standing of the affected knee joint, and the co-contraction rate (CR) was calculated; the adverse events during the treatment process of the two groups were compared.Results(1) VAS, WOMAC, Lysholm, and BBS scores: compared with those before treatment, VAS and WOMAC scores in both groups after treatment decreased significantly (P<0.05), while Lysholm and BBS scores increased significantly, and the differences were statistically significant (P<0.05). Compared with the control group,VAS and WOMAC scores in the observation group after treatment decreased significantly (P<0.05), while Lysholm and BBS scores were significantly higher, and the differences were statistically significant (P<0.05). (2) CR: compared with that before treatment, CR in the observation group after treatment decreased statistically, and the difference was statistically significant (P<0.05), while there was no statistically significant difference in CR in the control group after treatment (P>0.05). Compared with the control group,CR in the observation group after treatment was lower, and the differences was statistically significant (P<0.05). (3) Safety: no adverse events were observed in either group during treatment, and patients exhibited good compliance, indicating a high level of safety.ConclusionNEMEX training combined with semiconductor laser therapy can effectively improve pain, knee joint function, balance function, and muscle coordination and control around the knee joint of patients with KOA, which is worthy of clinical application.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».