Effects of an exoskeleton-assisted walking program on bone strength in wheelchair individuals with spinal cord injury: A preliminary study using imaging and serum biomarkers
Notice bibliographique
Résumé
BACKGROUND: Lower extremity weight bearing is a key determinant in maintaining bone density and strength. Approximately 60% of individuals with chronic spinal cord injury use a wheelchair long-term as their primary mode of locomotion—leading to a substantial reduction in lower extremity weight bearing. Unfortunately, this contributes to the development of severe sub-lesional osteoporosis, particularly at the femur and tibia, with fragility fracture rates twice those reported among the general population. Overground exoskeleton-assisted walking programs provide a novel opportunity to increase lower extremity weight bearing and mobility which may strengthen bone and mitigate fracture risks and associated complications. OBJECTIVES: To measure the immediate effects of an exoskeleton assisted walking program on lower-extremity bone strength and serum bone biomarkers in individuals with a spinal cord injury who use a wheelchair as their primary mode of locomotion. METHODS: Ten participants completed a 16-week exoskeleton assisted walking program incorporating 34 individualized 1-hour sessions, progressing from 1 to 3 sessions per week. Outcomes were measured immediately before and after completion of the intervention (±7 days). Mechanical bone properties (density, mineral content, geometry and strength indexes) were assessed using dual-energy X-ray absorptiometry (left hip, left arm, left leg) and peripheral quantitative tomography (25% left femur, 66% left tibia). Bone turnover biomarkers (bone formation = osteocalcin, bone resorption = telopeptide-c collagen) and 25-hydroxyvitamine D were assessed using fasting blood samples. Wilcoxon signed-ranked tests were used to determine pre versus post differences ( p<0.05) in outcomes and standardized effect sizes (ES) were computed. RESULTS: At the femur, statistically significant increases in cortical bone mineral density (ES=0.652) and stress-strain index (ES=0.889), as well as decreases in cortical bone mineral content (ES=0.889), cortical cross-sectional area (ES=0.889) and cortical thickness (ES=0.849) were observed. At the tibia, a statistically significant increase in polar moment of inertia (ES=0.790) was observed. Levels of 25-hydroxyvitamine D increased significantly (ES=0.693). CONCLUSION: The completion of a 16-week exoskeleton-assisted walking program elicits promising bone responses. However, due in part to a lack of statistical power, the clinical significance of these findings as well as the ultimate effect on bone strength and fracture risk remains to be confirmed. Larger clinical trials are needed. Longer intervention durations, as well as multimodality interventions (e.g., functional electrical stimulation, pharmacotherapy, dietary) may ultimately prove to be the most effective. This work was supported by the Fonds de recherche du Québec - Santé (FRQS, grant #252532) and the John R. Evans Leaders Fund of the Canada Foundation for Innovation (grant #36243). This is the full abstract presented at the American Physiology Summit 2023 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.
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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) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 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 ».