Anterior Cruciate Ligament Injuries
Conditions
Keywords
anterior cruciate ligament, gait analysis, plantar pressure, multi-body dynamics modeling
Brief summary
High incidence rate of knee osteoarthritis and gait analysis are important for early assessment of biomechanics. ACL injury is an ideal clinical model for studying knee osteoarthritis. To clarify the mechanism between the biomechanical status of knee joint and the change of gait touch information, and to provide scientific basis for quantifying and evaluating the biomechanical status of knee joint in dynamic load-bearing state.
Detailed description
The purpose of this study is to identify the characteristics of the disease, diagnose the disease by computer and evaluate the rehabilitation based on gait touch information after ACL rupture and reconstruction, combined with the methods of multi-body dynamics, machine learning and biomechanics analysis. Methods: 55 healthy volunteers, 55 patients with ACL rupture were recruited. Three dimensional gait analysis and dynamic plantar pressure were used to test the kinematic and dynamic data of lower limbs and gait touch information when walking, jogging, stopping and jumping, and running side cutting. Outcome evaluation indexes and statistical methods: the following indexes were measured repeatedly by two factor ANOVA method, and the left and right sides and different rehabilitation time were used as the variables of repeated measurement: the biomechanics of the lower limb joint and the change of the biological characteristics of gait touch information were analyzed. To study the biomechanical status of different knee joints and the mechanism of the change of gait touch information. Finally, based on the information of gait touch, a biomechanical evaluation model of knee joint during walking or jogging is established, which provides the exact basis for quantifying and evaluating the biomechanical state of knee joint under the dynamic load-bearing state of gait touch information.
Interventions
OTHERno intervention
This is an observation study, with no intervention
Sponsors
Peking University Third Hospital
Study design
Observational model
CASE_CONTROL
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to 35 Years
Healthy volunteers
Yes
Inclusion criteria
* 18-35 years old * Patients who have isolated ACL injury and receive ACL reconstruction surgery at Peking University Third Hospital. * With isolated ACL injury (an ACL injury with no need for surgical repairs to other knee structures). * All participants have no known disorders or diseases other than ACL rupture.
Exclusion criteria
* Cognitive impairment * Other injuries affecting movement performance.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| walking speed | On the day of enrollment. | Three-dimensional gait analysis system and plantar pressure were used during walking, jogging, cutting and jumping. |
| ground reaction force | On the day of enrollment. | Three-dimensional gait analysis system and plantar pressure were used during walking, jogging, cutting and jumping. |
| knee flexion angle | On the day of enrollment. | Three-dimensional gait analysis system and plantar pressure were used during walking, jogging, cutting and jumping. |
| the moment of knee extension in the gait cycle | On the day of enrollment. | Three-dimensional gait analysis system and plantar pressure were used during walking, jogging, cutting and jumping. |
| the moment of knee flexion in the gait cycle | On the day of enrollment. | Three-dimensional gait analysis system and plantar pressure were used during walking, jogging, cutting and jumping. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| The International Knee Documentation Committee (IKDC) score | On the day of enrollment. | The International Knee Documentation Committee (IKDC) score was used to evaluate the knee health.The patients completed score by themselves. The lowest score is 0 and the highest score is 100. The higher is better. |
Countries
China
Outcome results
None listed