A simplified treatment algorithm for treating thoracic and lumbar spine trauma

Abstract

Context

Current treatment of TLST should consider injury morphology, neurological status, clinical status (pain and disability) and also multimodal radiological evaluation (MMRE) with CT, MRI and dynamic/ standing plain radiographs.

Methods

A narrative literature review was performed to propose a treatment algorithm to guide the management of thoracolumbar spinal trauma (TLST). In order to classify injuries and surgical indications, we utilized the two most recent classification systems (TLICS and new AO spine classification) and related recent literature.

Results

Injuries were categorized into three groups according to stability: 1) Stable injuries, 2) Potentially unstable injuries/ delayed instability or 3) Clearly unstable injuries. Stable injuries included most of AO type A fractures without neurological deficit, mild clinical symptoms and without risk factors for late deformity. Potentially unstable injuries generally included patients without neurological deficits but with some risk factors for late deformity or with severe clinical symptoms. Surgery may be recommended in this group. Finally, clearly unstable injuries are those with spinal dislocations and/ or with neurological deficits, especially in the setting of persistent neural tissue compression, requiring early surgical treatment.

Conclusions

The proposed treatment algorithm is intended to help surgeons select the best treatment modality for their patients, categorizing injuries according to their main characteristics into one of these three groups. Further studies addressing the reliability and safety of this algorithm are necessary.

Keywords:

• Thoracic trauma
• Lumbar trauma
• Classification
• Treatment
• Algorithm

Acknowledgements

No funds were received in support of this study. No benefits in any form have been or will be received from a commercial party related directly or indirectly to the subject of this manuscript. The authors have no financial interest in the subject of this article. The manuscript submitted does not contain information about medical device(s).

Disclaimer statements

Contributors None.

Funding None.

Conflicts of interest Authors have no conflict of interests to declare.

Ethics approval None.