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84 results for “Knee Injury”
Continuous monitoring of patient mobility for 18 months using inertial sensors following traumatic knee injury: a case study
<p><strong>This repository contains raw data relating to: </strong>Continuous monitoring of patient mobility for 18 months using inertial sensors following traumatic knee injury: a case study Mueller A., Hoefling H., Nuritdinow T., et al. DOI: 10.1159/000490919</p> <p><strong>Metadata and processed data derived from the raw data deposited here is available here:</strong> https://github.com/Novartis/mueller_et_al_2018</p> <p><strong>Article Abstract</strong></p> <p>Continuous patient activity monitoring during rehabilitation, enabled by digital technologies, will allow the objective capture of real-world mobility and aligning treatment to each individual’s recovery trajectory in real time. To explore the feasibility and added value of such approaches, we present a case study of a 36-year-old male participant monitored continuously for activity levels and gait parameters using a waist-worn inertial sensor following a tibial plateau fracture on the right side, sustained as a result of a high-energy trauma during a sporting accident. During rehabilitation, data were collected for a period of 553 days, with > 80% daytime compliance, until the participant returned to near full mobility. The participant completed a daily diary with the annotation of major events (falls, near falls, cycling periods, or physiotherapy sessions) and key dates in the patient’s recovery, including medical interventions, transitioning off crutches, and returning to work. We demonstrate the feasibility of collecting, storing, and mining of continuous digital mobility data and show that such data can detect changes in mobility and provide insights into long-term rehabilitation. We make both raw data and annotations available as a resource with the aspiration that further methods and insights will be built on this initial exploration of added value and continue to demonstrate that continuous monitoring can be deployed to aid rehabilitation.</p>
Losartan to Improve Outcomes After Multi-ligament Knee Injury
ClinicalTrials.gov study NCT06933706. IPD Sharing: YES. Countries: 1. Publications: 0.
Electromyostimulation and Strength Walking for Knee Injuries
ClinicalTrials.gov study NCT02065518. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Anterior Cruciate Ligament Injury Prevention Protocol in Female Football Players With Dynamic Knee Valgus
ClinicalTrials.gov study NCT06083818. IPD Sharing: YES. Countries: 1. Publications: 1.
Efficacy of Botulinum Toxin Injections in the Rectus Femoris to Treat Stiff Knee Gait Following Acquired Brain Injury
ClinicalTrials.gov study NCT00900666. IPD Sharing: Not stated. Countries: 1. Publications: 8.
Effectiveness of Autologous Adipose-derived Stem Cells in the Treatment of Knee Cartilage Injury
ClinicalTrials.gov study NCT03955497. IPD Sharing: NO. Countries: 1. Publications: 4.
Prevention of Skeletal Muscle Adaptations to Traumatic Knee Injury and Surgery
ClinicalTrials.gov study NCT02945553. IPD Sharing: YES. Countries: 1. Publications: 1.
Data from: Cluster analysis successfully identifies clinically meaningful knee valgus moment patterns: frequency of early peaks reflects sex-specific ACL injury incidence
Background: Biomechanical studies of ACL injury risk factors frequently analyze only a fraction of the relevant data, and typically not in accordance with the injury mechanism. Extracting a peak value within a time series of relevance to ACL injuries is challenging due to differences in the relative timing and size of the peak value of interest. Aims/hypotheses: The aim was to cluster analyze the knee valgus moment time series curve shape in the early stance phase. We hypothesized that 1a) There would be few discrete curve shapes, 1b) there would be a shape reflecting an early peak of the knee valgus moment, 2a) youth athletes of both sexes would show similar frequencies of early peaks, 2b) adolescent girls would have greater early peak frequencies. Methods: N = 213 (39% boys) youth soccer and team handball athletes (phase 1) and N = 35 (45% boys) with 5 year follow-up data (phase 2) were recorded performing a change of direction task with 3D motion analysis and a force plate. The time series of the first 30% of stance phase were cluster analyzed based on Euclidean distances in two steps; shape-based main clusters with a transformed time series, and magnitude based sub-clusters with body weight normalized time series. Group differences (sex, phase) in curve shape frequencies, and shape-magnitude frequencies were tested with chi-squared tests. Results: Six discrete shape-clusters and 14 magnitude based sub-clusters were formed. Phase 1 boys had greater frequency of early peaks than phase 1 girls (38% vs 25% respectively, P < 0.001 for full test). Phase 2 girls had greater frequency of early peaks than phase 2 boys (42% vs 21% respectively, P < 0.001 for full test). Conclusions: Cluster analysis can reveal different patterns of curve shapes in biomechanical data, which likely reflect different movement strategies. The early peak shape is relatable to the ACL injury mechanism as the timing of its peak moment is consistent with the timing of injury. Greater frequency of early peaks demonstrated by Phase 2 girls is consistent with their higher risk of ACL injury in sports.
Mesenchymal Stem Cells in Knee Cartilage Injuries
ClinicalTrials.gov study NCT02118519. IPD Sharing: Not stated. Countries: 1. Publications: 1.
STaR Trial: Multiple Ligament Knee Injuries
ClinicalTrials.gov study NCT03543098. IPD Sharing: YES. Countries: 1. Publications: 1.
Preventing Knee Injuries in Adolescent Female Football Players
ClinicalTrials.gov study NCT00894595. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Study to Compare Efficacy and Safety of Cartistem and Microfracture in Patients With Knee Articular Cartilage Injury
ClinicalTrials.gov study NCT01041001. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Epidemiological Evaluation of Knee Injuries in Children Admitted to Assiut University Hospitals From 2022 to 2025.
ClinicalTrials.gov study NCT07300098. IPD Sharing: NO. Countries: 1. Publications: 7.
Predicting Osteoarthritis Risk Following Knee Injury.
ClinicalTrials.gov study NCT02667756. IPD Sharing: NO. Countries: 1. Publications: 1.
Evaluation of Clinical Outcomes of Scaffold Treatment of Partial Meniscal Injuries of the Knee
ClinicalTrials.gov study NCT06475963. IPD Sharing: UNDECIDED. Countries: 1. Publications: 6.
Follow-Up Study of CARTISTEM® Versus Microfracture for the Treatment of Knee Articular Cartilage Injury or Defect
ClinicalTrials.gov study NCT01626677. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Changes in the Immunomodulatory Properties of Adipose Stromal Cells Due to Hemarthrosis After Knee Injury
ClinicalTrials.gov study NCT05687331. IPD Sharing: UNDECIDED. Countries: 1. Publications: 10.
Knee Alignment Contributions to Anterior Cruciate Ligament (ACL) Injury
ClinicalTrials.gov study NCT00855023. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Altering Bone Microarchitecture and Mechanics by Off-label Pharmaceutical Intervention Following an Acute Knee Injury
ClinicalTrials.gov study NCT05204836. IPD Sharing: Not stated. Countries: 1. Publications: 45.
The Effect of Anesthetics Agents on Vascular Injury and Level of Syndecan-1 During Knee Surgery
ClinicalTrials.gov study NCT02756715. IPD Sharing: NO. Countries: 1. Publications: 1.
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OpenNeuro
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