Background: Exercise therapy is recommended by international guidelines as a core treatment for patients with knee osteoarthritis. However, there is a significant gap between recommendations and practice in health care. Digital exercise apps are promising to help solve this undersupply.
Objective: This study aims to evaluate the efficacy of a 12-week fully automated app-based exercise intervention with and without a supporting knee brace on health-related outcomes, performance measures, and adherence in patients with knee osteoarthritis.
Methods: This closed user group trial included participants with moderate to severe unicondylar painful knee osteoarthritis. Randomization was 1:1:2 into an intervention group (IG) with 2 subgroups (app-based training [IG A] and app-based training and a supportive knee brace [IG AB]) and a control group (CG). The intervention included a 12-week home exercise program with 3 sessions per week. Instructions for the exercises were given via the app and monitored using 2 accelerometers placed below and above the affected knee joint. Participants in the CG did not receive any study intervention but were allowed to make use of usual care. Osteoarthritis-specific pain (Knee Injury and Osteoarthritis Outcome Score) was defined as the primary outcome, and secondary outcomes included all other Knee Injury and Osteoarthritis Outcome Score subscales, general health-related quality of life (Veterans RAND 12-item Health Survey), psychological measures (eg, exercise self-efficacy), performance measures (strength and postural control), and the monitoring of adherence and safety. Outcomes were assessed at baseline and after 12 weeks. Intervention effects were calculated using baseline-adjusted analysis of covariance for the joint comparison of IG A and IG AB versus the CG using a per-protocol approach. Subgroup analyses were conducted for each IG separately.
Results: A total of 61 participants were included (IG: n=30, 49%; CG: n=31, 51%; male: n=31, 51%; female: n=30, 49%; mean age 62.9, SD 8.5 years; mean BMI 27.7, SD 4.5 kg/m). Analysis revealed statistically significant effects in favor of the IG for pain reduction (P<.001; effect size [ES]=0.76), improvements in physical function (P<.001; ES=0.64), improvements in symptoms (P=.01; ES=0.53), improvements in sport and recreation activities (P=.02; ES=0.47), improvements in knee-related quality of life (P<.001; ES=0.76), and improvements in the physical component of general health-related quality of life (P<.001; ES=0.74). Mean differences ranged from 6.0 to 13.2 points (scale range 0-100). ESs indicated small to medium effects. No effects were found for psychological and performance measures. Participants adhered to 92.5% (899/972) of all scheduled exercise sessions.
Conclusions: Individuals with knee osteoarthritis undergoing a 12-week sensor-assisted app-based exercise intervention with or without an additional knee brace experienced clinically meaningful treatment effects regarding pain relief and improvements in physical function as well as other osteoarthritis-specific concerns compared to controls.
Trial Registration: German Clinical Trials Register (DRKS) DRKS00023269; https://drks.de/search/de/trial/DRKS00023269.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11420596 | PMC |
http://dx.doi.org/10.2196/54356 | DOI Listing |
J Orthop Surg Res
January 2025
Department of Orthopaedic Surgery, Shanxi Medical University Second Affiliated Hospital, Taiyuan, China.
Objective: This meta-analysis evaluates the comparative efficacy of lateral unicompartmental arthroplasty (UKA) versus medial UKA in treating unicompartmental knee osteoarthritis (KOA).
Methods: We systematically searched Cochrane, PubMed, Embase, and Web of Science databases from January 2000 to September 2024. Literature screening, quality assessment, and data extraction were conducted based on predefined inclusion and exclusion criteria.
J Orthop Surg Res
January 2025
Shengli Clinical Medical College of Fujian Medical University, Fuzhou, 350001, P. R. China.
Objective: To investigate the application value of arthroscopic channel modification in meniscal injury repair.
Methods: We retrospectively analyzed the data of 100 patients with meniscus injuries treated with knee arthroscopy from December 2022 to December 2023 and divided them into a control group and a modified group according to the application of "arthroscopic access modification technology". We compared the operation time, postoperative hospitalization time, VAS score, Lysholm knee function score, postoperative complications, and postoperative images of the patients in these two groups.
BMC Musculoskelet Disord
January 2025
Division of Orthopedic Surgery, Changhua Christian Hospital, Changhua, Taiwan.
Background: Despite advancements in prosthetic designs and surgical techniques, patellar dislocation remains a rare but significant complication following total knee arthroplasty, with an incidence ranging between 0.15% and 0.5%.
View Article and Find Full Text PDFCurr Probl Surg
January 2025
Department of Orthopedics, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China; Department of Orthopedics, Jiangsu Province Academy of Traditional Chinese Medicine, Nanjing, Jiangsu, China. Electronic address:
RMD Open
January 2025
CIC, Epidémiologie Clinique, INSERM, Nancy University Hospital Center, Nancy, Grand Est, France.
Objective: The objective of this study was to analyse the association between body composition and changes in health-related quality of life (HRQoL) of patients followed for hip and knee osteoarthritis (OA).
Methods: Longitudinal data from the Knee and Hip OsteoArthritis Long-term Assessments (KHOALA) cohort, a multicentre cohort of 878 patients with symptomatic knee and/or hip OA, were used. The main outcome criteria were changes in patient-reported outcomes measures, the Study Short Form-36 (physical functioning, pain, mental health and vitality) and the OsteoArthritis Knee and Hip Quality Of Life (OAKHQOL)(physical activity, pain and mental health).
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!