Clinical application and cases examples of a new treatment algorithm for treating thoracic and lumbar spine trauma.

Publication/Presentation Date

1-1-2018

Abstract

STUDY DESIGN: Review of illustrative cases of a new algorithm to help in the treatment decision of thoracolumbar spine trauma.

OBJECTIVES: To illustrate the use of the new algorithm for managing thoracic and lumbar spine trauma.

SETTINGS: Recently, a new algorithm for helping in the decision of the best treatment modality for thoracolumbar spine trauma (TLST) was published. The algorithm considers injury morphology, neurological status, clinical status (pain and disability), and also multimodal radiological evaluation (MMRE) in the decision for non-operative versus operative treatment for TLST. Injuries were classified in three groups: (1) stable injuries, (2) potentially unstable injuries/ delayed instability, or (3) clearly unstable injuries.

METHODS: Cases examples of the algorithm application were presented and discussed.

RESULTS: Stable injuries (minor fractures without instability) are non-surgically treated; potentially unstable injuries or associated with delayed instability may be initially managed non-surgically and operative treatment is an option, especially in the setting of important pain, deformity or a new neurological deficit. Clearly unstable injuries are treated surgically as soon as possible to avoid neurological worsening, severe pain, and/ or progressive spinal deformity.

CONCLUSIONS: Clinical examples of TLST were presented, discussed and classified as stable, potentially unstable and clearly unstable injuries. Further studies addressing the reliability and safety of this algorithm are necessary.

Volume

4

First Page

56

Last Page

56

ISSN

2058-6124

Disciplines

Business Administration, Management, and Operations | Health and Medical Administration | Management Sciences and Quantitative Methods

PubMedID

29977607

Department(s)

Administration and Leadership

Document Type

Article

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