header advert
Orthopaedic Proceedings Logo

Receive monthly Table of Contents alerts from Orthopaedic Proceedings

Comprehensive article alerts can be set up and managed through your account settings

View my account settings

Visit Orthopaedic Proceedings at:

Loading...

Loading...

Full Access

PAPER 196: TIMING OF OPERATIVE FIXATION IN SPINE FRACTURES AND ITS EFFECTS ON THE OUTCOME



Abstract

Purpose: The optimal timing for surgical stabilization of the fractured spine is controversial. Early stabilization facilitates earlier mobilization and theoretically reduces associated complications.

Method: Consecutive patients requiring stabilization surgery for a spinal fracture, without neurological injury were identified from a prospective institutional database. Patients were stratified by the time to their final surgical stabilization procedure (< 12, 12–24, 24–48, 48–72 and > 72 hours) and outcomes compared. Multivariate analyses were performed to explore potential confounding effects.

Results: 76 patients satisfied the inclusion/exclusion criteria. The median time to final surgical spinal stabilization was 71.8 hours. There were significant differences in complications related to prolonged recumbancy (e.g. respiratory failure, thromboembolism, p = 0.016) between the different time frames. Graphical exploration suggested higher complication rates after 48 hours delay. Comparing patients stabilized after 48 hours compared to those within, there was a 6.9 times (p = 0.0085) greater risk of a complication related to prolonged recumbancy. These effects remained significant after multivariate adjustments for age, comorbidity and ISS. There were trends towards longer lengths of stay and lower function (measured using the FIM) at discharge in the surgical delay group.

Conclusion: This study demonstrates a strong relationship between surgical delay and complications. The cutoff for this delay appears to occur at 48 hours. This study is limited in that the identified relationship may be related to a number of other confounding factors not measured or inadequately adjusted for because of small numbers. Further study, using this study’s developed algorithms in larger datasets, may help resolve some of these issues.

Correspondence should be addressed to Meghan Corbeil, Meetings Coordinator Email: meghan@canorth.org