Evaluation of the myofascial chain and functional movement tests in patients after anterior cruciate ligament reconstruction
ESSKA Academy. Bialy M. 11/08/19; 284437; epESMA-30 Topic: Sports Related Injuries
Maciej Bialy
Maciej Bialy
Login now to access Regular content available to all registered users.

You can access free non-premium educational content on the ESSKA Academy Portal by registering for free as 'ESSKA Academy User' here
Discussion Forum (0)
Rate & Comment (0)
Evaluation of the myofascial chain and functional movement tests in patients after anterior cruciate ligament reconstruction

ePoster - epESMA-30

Topic: Sports Injury and Return to Competition Criteria

Bialy M.1,2, Kublin K.2, Niechaj G.1, Rachwalska J.1, Gnat R.2
1Sport-Klinika, Endoscopic Surgery Clinic, Functional Diagnosis Laboratory, Żory, Poland, 2The Jerzy Kukuczka Academy of Physical Education, Motion Analysis Laboratory, Knee Research Group, Katowice, Poland

Introduction: Criteria for returning to the activity or high level sports performance after anterior cruciate ligament ACL are widely discussed in the literature.
Objective: To introduce myofascial chain tests as a new diagnostic tool for screening the patients after ACL reconstruction.
Aim: The aim of presented study was to verify whether the Functional Movement Screen (FMS) and myofascial chain (NEURAC) tests can be used to detect functional differences between the non-operated and operated lower extremity in the group of patients after ACL reconstruction.
Methods: A total of 83 patients (58 male and 25 female) who underwent primary single-bundle ACL reconstruction using autogenous semitendinosus-gracilis tendon graft were enrolled and data were registered 3 months after ACL reconstruction. Subjects received similar standardized rehabilitation program. Two experienced raters blinded to the objective of this study were involved in the functional outcome data collection for FMS and NEURAC tests. A pilot study was conducted in 12 healthy participants in order to achieve a reliable level of agreement between raters, which resulted in weighted Kappa-Kohen coefficient equal 0.75 as well for FMS and NEURAC myofacial chain tests. Data processing was carried out by the third independent rater who was blinded to the aim of the study. Due to ordinal character of the gathered data non-parametric Mann-Whitney U test was used. The research was approved by the local Bioethical Committee (No. 3/2017), and all subjects signed written informed consent before participation.
Results: Statistical comparison of the scores gained in the individual functional tests showed significant differences between the non-operated and the operated lower extremity in case of the NEURAC tests exclusively. They were: the supine bridging test (average 3.51 vs 2.92 points, respectively, P< 0.001), the prone bridging test (average 3.67 vs 2.76 points, P< 0.001) and the total score of all NEURAC tests (average 13.67 vs 12.08 points, P< 0.001). In case of all remaining functional tests no significant differences were found.
Conclusions: The NEURAC myofascial chain tests (supine and prone bridging) in comparison with the battery of FMS tests seem to be more effective in detecting functional differences between the operated and non-operated lower extremity in early postoperative phase.
Code of conduct/disclaimer available in General Terms & Conditions
Anonymous User Privacy Preferences

Strictly Necessary Cookies (Always Active)

MULTILEARNING platforms and tools hereinafter referred as “MLG SOFTWARE” are provided to you as pure educational platforms/services requiring cookies to operate. In the case of the MLG SOFTWARE, cookies are essential for the Platform to function properly for the provision of education. If these cookies are disabled, a large subset of the functionality provided by the Platform will either be unavailable or cease to work as expected. The MLG SOFTWARE do not capture non-essential activities such as menu items and listings you click on or pages viewed.

Performance Cookies

Performance cookies are used to analyse how visitors use a website in order to provide a better user experience.

Google Analytics is used for user behavior tracking/reporting. Google Analytics works in parallel and independently from MLG’s features. Google Analytics relies on cookies and these cookies can be used by Google to track users across different platforms/services.

Save Settings