ArticleFrontiers in medicine2024
Influencing factors on the quality of recovery after total knee arthroplasty: development of a predictive model.
Article in Frontiers in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Can frailty predict complications and mortality in patients undergoing total knee arthroplasty? A systematic review and meta-analysis.Pakistan journal of medical sciences · 2026Article
- Gait Biomechanics, Symmetry Restoration, and Functional Recovery Following Total Knee Arthroplasty: A Prospective Longitudinal Cohort Study.Life (Basel, Switzerland) · 2026Article
- Article
- Early-Phase Quadriceps Activation After Knee Surgery: A Narrative Review of Current Rehabilitation Interventions and Identification of an Unmet Clinical Need.Journal of clinical medicine · 2026Review
- Effects of postoperative oral carbohydrate intake immediately on the quality of recovery: a propensity score-matched and multivariate analysis.BMC anesthesiology · 2025Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Total Knee Arthroplasty (TKA) is a widely performed procedure that significantly benefits patients with severe knee degeneration. However, the recovery outcomes post-surgery can vary significantly among patients. Identifying the factors influencing these outcomes is crucial for improving patient care and satisfaction. Methods: In this retrospective study, we analyzed 362 TKA cases performed between January 1, 2018, and July 1, 2022. Multivariate logistic regression was employed to identify key predictors of recovery within the first year after surgery. Results: The analysis revealed that Body Mass Index (BMI), age-adjusted Charlson Comorbidity Index (aCCI), sleep quality, Bone Mineral Density (BMD), and analgesic efficacy were significant predictors of poor recovery ( Discussion: The findings suggest that personalized postoperative care and tailored rehabilitation programs based on these predictors could enhance recovery outcomes and increase patient satisfaction following TKA.
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