ArticleJournal of clinical orthopaedics and trauma2024
A perioperative predictive model of early mortality in acute cervical spinal cord injury: A prospective cohort study.
Article in Journal of clinical orthopaedics and trauma, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.
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Corrections and comments
- Erratum issued
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6 authors.
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Abstract
Background: Traumatic cervical spine injury is common among spinal cord injury which requires an intensive, multidisciplinary approach which can affect the immediate postoperative hospital survival rate. By identifying the risk factors leading to early mortality in cervical spine trauma patients, the prognosis of patients with TCSCI can be better predicted. Objective: The study aims to analyze the variables influencing in-hospital mortality in cervical spine trauma patients treated at a Level I trauma Center. Methods: Prospective study was conducted on subaxial cervical spine injuries from July 2019 to March 2022. Patients were divided into two groups: Group A, with in-hospital mortality, and Group B, who got discharged from hospital, and mortality predictors were reviewed and analyzed for as potential risk factors for in-hospital mortality. Results: Out of 105 patients, 83.8 % were male with mean age of 40.43 ± 12.62 years. On univariate analysis, AIS (p-value: <0.01), ICU stay (p-value: <0.01), level of injury (p-value: <0.01), and MRI parameters like the extent of Parenchymal damage (p-value: <0.01), MSCC (p-value: <0.01), and MCC (p-value: <0.01) were potential risk factors for in-hospital mortality. On multivariate regression analysis AIS at presentation (p-value: 0.02) was the only significant independent parameter for in-hospital mortality. Conclusions: AIS grading at presentation, duration of ICU stay, level of injury, rate of tracheostomy, and MRI parameters like the extent of parenchymal damage, MCC, and MSCC influence and predicts in-hospital mortality, whereas AIS is the only independent risk factor.
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