MODERN CLASSIFICATIONS OF MUSCLE INJURIES IN THE DIAGNOSIS AND REHABILITATION OF ATHLETES
Abstract
Introduction. Muscle injuries are widespread among high-achieving athletes, especially in dynamic sports such as football. About 30% of all football injuries are muscle injuries, which negatively affects the team’s results, as athletes are forced to miss games during recovery. Classification systems of muscle injuries are very important for the prognosis of rehabilitation therapy and recovery of athletes. The problem of applying a unified classification in the practice of specialists as the basis for rehabilitation protocols for soft tissue injuries is still relevant. The aim of the study was to evaluate the informative value of the British Classification of Muscle Injuries (BAMIC) as one of the main tools in the diagnosis of muscle injuries, prediction of recovery and prevention of repeated injuries in athletes. To substantiate the possibility of using the BAMIC classification in the creation of individual rehabilitation protocols for athletes. Materials and methods. An analysis of the scientific English-language literature in PubMed (NLM), Web of Science (Clarivate), which describing the application of the BAMIC classification, an assessment of the time of return to the play (RTP) and the re-injury rate (RIR) after muscle injuries in athletes was carried out. Results. the high diagnostic and prognostic value of using the BAMIC in the practice of a doctor was noted. A statistical significance was revealed between the degree of injury, the site of injury and/or a combination of the degree of muscle injury and the site of injury with RTP according to the BAMIC classification. It was found that the increase in RIR depended on the degree and localization of damage. Conclusion. The British classification of muscle injuries is justifiably widely used by the world community to assess athletes’ muscle injuries. The superiority of BAMIC over previously known classifications is due to the fact that on its basis it is possible to predict the time of RTP and the RIR, which can be effectively used to develop individual rehabilitation protocols.
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