Effectiveness of Neuromuscular Re-Education on Proprioceptive Accuracy, Dynamic Knee Stability, and Pain Modulation in Geriatric Patients with Knee Osteoarthritis: A Randomized Controlled Trial
Notice bibliographique
Résumé
Abstract Background: Knee osteoarthritis (KOA) in geriatric populations presents a multifaceted challenge characterized by progressive cartilage degradation, sensorimotor dysfunction, and compromised joint stability. While pain management remains central to rehabilitation, proprioceptive dysfunction and impaired dynamic stability represent significant but understudied mechanisms in older adults with KOA. This randomized controlled trial investigates the efficacy of structured neuromuscular re-education (NMR) in addressing proprioceptive accuracy, dynamic knee stability, and pain modulation in geriatric KOA patients. Objectives: To evaluate the differential effects of neuromuscular re-education versus conventional physiotherapy on joint position sense accuracy, dynamic balance performance, functional mobility, and pain perception in adults aged 65 years and above with moderate-to-severe knee osteoarthritis. Methods: A prospective, randomized controlled trial enrolled 108 geriatric patients (age ≥65 years) diagnosed with bilateral or unilateral moderate-to-severe KOA (Kellgren-Lawrence Grade II-IV). Participants were randomly assigned to either neuromuscular re-education (NMR group, n=54) or conventional exercise control (CEC group, n=54). The NMR protocol comprised 12 week structured interventions incorporating proprioceptive training, dynamic balance exercises, and selective neuromuscular control with emphasis on mechanoreceptor stimulation. Outcome measures were assessed at baseline, 6 weeks, and 12 weeks, including visual analog scale (VAS) for pain, Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) pain subscale, joint position sense error quantification, Y-Balance Test for dynamic stability, Timed Up and Go (TUG) for functional mobility, 30-second Chair Stand Test for lower limb strength endurance, and Berg Balance Scale (BBS) for postural stability. Statistical analysis employed mixed-model analysis of variance with between-group comparisons evaluated using independent t-tests. Intention-to treat analysis was performed with p<0.05 considered statistically significant. Results: Significant between-group differences emerged favoring the NMR intervention across all primary outcome measures. The NMR group demonstrated superior proprioceptive accuracy (mean reduction in joint position sense error: 4.2±1.8 degrees versus 1.5±1.2 degrees; p=0.001), enhanced dynamic balance performance on Y-Balance Test (asymmetry index improvement: 8.3±2.1% versus 3.7±1.9%; p=0.002), and greater functional improvements on TUG test (mean improvement: 2.1±0.9 seconds versus 0.8±0.7 seconds; p=0.003). Pain reduction favored the NMR approach, with WOMAC pain subscale scores declining by 18.5±6.2 points compared to 7.3±5.1 points in the control group (p<0.001). Improvements in Berg Balance Scale scores were significantly greater in the NMR group (mean improvement: 6.8±2.3 points versus 2.4±2.0 points; p<0.001). Notably, proprioceptive gains persisted at the 12-week assessment, suggesting sustained neural adaptation within the geriatric population. The 30-second Chair Stand Test demonstrated progressive strengthening, with the NMR group achieving 4.2±1.6 additional repetitions compared to 1.3±1.1 repetitions in controls (p<0.001). Conclusions: This trial provides robust evidence that structured neuromuscular re-education targeting proprioceptive accuracy and dynamic stability represents a superior intervention strategy compared to conventional exercise for managing geriatric knee osteoarthritis. The substantial improvements in proprioceptive function, dynamic balance, functional mobility, and pain perception support the integration of mechanoreceptor-focused training within standard physiotherapy protocols for older adults with KOA. These findings substantiate OARSI and EULAR recommendations emphasizing multimodal, neuromuscularly-informed rehabilitation approaches. Future investigations should examine long-term efficacy, optimal dosing parameters, and predictive factors for individual responsiveness to neuromuscular interventions in geriatric populations.
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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 | 0,002 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,005 | 0,003 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,003 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 0,001 |
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 ».