Study design: Retrospective study.
Objective: Evaluate the relationship among the neurologic status, the Thoracolumbar Injury Classification System (TLICS) score, and the Magerl/AO classification system.
Summary of the background data: A wide range of classification schemes for thoracic and lumbar spine trauma have been described, but none has achieved widespread acceptance. A recent system proposed by Vaccaro et al has been developed to improve injury classification and guide surgical decision making.
Methods: Analysis of 49 patients treated surgically for thoracic and lumbar spine trauma from 2003 to 2009 in 2 spine trauma centers. Clinical and radiologic data were evaluated, classifying the trauma according to American Spinal Injury Association status, the Magerl/AO classification for fractures, and the TLICS score.
Results: The mean age was 37 years (range, 17-72). Thirty-five (71%) patients had a thoracolumbar fracture (T11-L2). A posterior approach was used in all the cases. American Spinal Injury Association status remained unchanged in 44 (4 had some improvement and 1 worsened). A total of 61.1% of the patients with a type A fracture were neurologically intact compared with 80% with complete neurologic deficit for type C fractures. The TLICS score range from 2 to 9 (average of 6.2). Forty-seven of 49 (96%) patients had a TLICS score greater than 4, suggesting surgical treatment. Seventy percentage of the patients with a TLICS score from 4 to 6 were neurologically intact compared with 87.5% of complete neurologic deficits in patients with TLICS 7 to 9. A statistic correlation was established between the neurologic status and AO type fracture (P = 0.0041) and the TLICS score (P < 0.0001). An association between the AO type fracture and the TLICS score was also found (P = 0.0088).
Conclusion: The TLICS score treatment recommendation matched surgical treatment in 47 of 49 patients (96%). The TLICS was found to correlate to the AO classification. This suggests that the TLICS can be used to classify thoracolumbar trauma and can accurately predict surgical management.