The Role of Physical Activity and Rehabilitation Following Hip and Knee Arthroplasty in the Elderly.
Rocco PapaliaStefano CampiFerruccio VoriniBiagio ZampognaSebastiano VastaGiuseppe PapaliaChiara FossatiGuglielmo TorreVincenzo DenaroPublished in: Journal of clinical medicine (2020)
Hip and knee replacement is an effective treatment for symptomatic, end-stage hip and knee osteoarthritis, aiming to relieve pain and restore joint function. Several postoperative rehabilitation protocols and physical activities are proposed in routine clinical practice. However, their effect on clinical outcome and implant revision in patients undergoing joint replacement is still unclear. A systematic review of the literature was performed through a comprehensive search on online databases including Pubmed-Medline, Cochrane central, and Google scholar. We included all the available studies on postoperative physical activity and rehabilitation protocols after total knee and total hip arthroplasty in patients older than 65 years. The primary endpoint was to evaluate the effect of physical activity and rehabilitation on clinical outcome; the secondary outcome was to determine the effect on patients' quality of life (QoL) and implant survival. Although the heterogeneity of the rehabilitation protocols and outcome measures did not allow to draw definitive conclusions, most studies suggested that aquatic therapy, ergometer cycling, and fast-track protocols have a beneficial effect on muscle strength, gait speed, and main clinical scores after total hip arthroplasty. Similarly, enhanced rehabilitation protocols produced an improvement in primary and secondary outcomes after total knee arthroplasty.
Keyphrases
- physical activity
- total hip arthroplasty
- patients undergoing
- end stage renal disease
- clinical practice
- newly diagnosed
- ejection fraction
- chronic kidney disease
- peritoneal dialysis
- metabolic syndrome
- chronic pain
- radiation therapy
- healthcare
- squamous cell carcinoma
- mental health
- stem cells
- risk assessment
- machine learning
- single cell
- rheumatoid arthritis
- social media
- type diabetes
- depressive symptoms
- big data
- case control