The choice of classification to determine the optimal tactics for treatment of the thoracolumbar junction traumatic injuries.

Abstract

Aim: To evaluate the influence of the degree of detail of the nature of the pathomorphological changes in the osteoligamentous structures on the tactics of treating the patients with the traumatic damage to the thoracolumbar junction. Materials and Methods: A retrospective analysis of the treatment tactics was carried out in 96 patients with a traumatic injury of the thoracolumbar junction, both those who underwent a surgical treatment and those who underwent a conservative therapy. The lesions were classified using F. Magerl and AOSpine classifications; the neurological status was assessed according to the ASIA scale, the nature of the damage was specified using the McCormack criteria. The statistical data processing was performed using the Random Forest machine learning algorithm. Results: The nature of the injury makes it possible to unambiguously determine the optimal method of therapy when using the F. Magerl classification with a probability of 58.33%, while in relation to the AOSpine classification this figure is 55.21%. When building the models that include the nature of the damage, the level of the neurological disorders and the McCormack criteria, it was found that the use of the F. Magerl classification demonstrates an error in unambiguously determining the most effective treatment method at the level of 26.04%, while the use of AOSpine this figure was 21.88%. Conclusions: The application of the AOSpine classification is more promising for the development of a multifactorial algorithm for the treatment of the traumatic injuries of the thoracolumbar junction.