Early predictors of mortality after spine trauma: a level 1 Australian trauma center study

Jin W Tee, Patrick C H Chan, Russell Lindsay Gruen, Mark Fitzgerald, Susan M Liew, Peter Cameron, Jeffrey Victor Rosenfeld

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8 Citations (Scopus)

Abstract

To identify early independent mortality predictors after spine trauma. Summary of Background Data. Spine trauma consists of spinal cord and spine column injury. The ability to identify early (within 24 hours) risk factors predictive of mortality in spine trauma has the potential to reduce mortality and improve spine trauma management. Methods. Analysis was performed on 215 spine column and/ or spinal cord injured patients from July 2008 to August 2011. Univariate and multivariate logistic regression models were applied to investigate the effects of the Injury Severity Score , age, mechanism of injury, blood glucose level, vital signs, brain trauma severity, morbidity before trauma, coagulation profi le, neurological status, and spine injuries on the risk of in-hospital death. Results. Applying a multivariate logistic regression model, there were 7 independent early predictive factors for mortality after spine injury. They were (1) Injury Severity Score more than 15 (odds ratio [OR] = 3.67; P = 0.009), (2) abnormal coagulation profi le (OR = 6; P <0.0001), (3) patients 65 years or older (OR = 3.49; P = 0.007), (4) hypotension (OR = 2.9; P = 0.033), (5) tachycardia (OR = 4.04; P = 0.005), (6) hypoxia (OR = 2.9; P = 0.033), and (7) multiple comorbidities (OR = 3.49; P = 0.007). Severe traumatic brain injury was also associated with mortality but was excluded from multivariate analysis because there were no patients with this variable in the comparison group. Conclusion. Mortality predictors for spine trauma patients are similar to those for general trauma patients. Spine injury variables were shown not to be independent predictors of spine trauma mortality.
Original languageEnglish
Pages (from-to)169 - 177
Number of pages9
JournalSpine
Volume38
Issue number2
DOIs
Publication statusPublished - 2013

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