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Predicting morbidity and mortality after surgery for isolated traumatic spinal injury without spinal cord injury
Örebro University, School of Medical Sciences. Örebro University Hospital. Department of Orthopedic Surgery, Orebro University Hospital.ORCID iD: 0000-0003-3436-1026
Örebro University, School of Medical Sciences. Department of Orthopedic Surgery, Orebro University Hospital.ORCID iD: 0000-0003-3583-3443
Örebro University, School of Medical Sciences. Örebro University Hospital. Clinical Epidemiology and Biostatistics.ORCID iD: 0000-0002-3552-9153
Örebro University, School of Medical Sciences. Department of Orthopedic Surgery, Orebro University Hospital.
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2024 (English)In: Journal of Trauma and Acute Care Surgery, ISSN 2163-0755, E-ISSN 2163-0763, Vol. 98, no 3, p. 476-484Article in journal (Refereed) Published
Abstract [en]

BACKGROUND: Traumatic spinal injuries are associated with a high risk of morbidity and mortality. The aim of this study is to investigate which variables best predict adverse outcomes in patients who had surgery for isolated traumatic spinal injury without spinal cord injury.

METHODS: The American College of Surgeons Trauma Quality Improvement Program database was used to identify adult (18 years or older) surgically managed patients with an isolated traumatic spinal injury, without spinal cord injury admitted between 2013 and 2021. An isolated injury was defined as a spine Abbreviated Injury Scale score ≥2 and an Abbreviated Injury Scale score ≤1 in the remaining body regions, as well as corresponding International Classification of Diseases, Ninth and Tenth Revision, codes. The predictive value of demographic, clinical, and comorbidity data was evaluated using logistic regression models and ranked using the permutation importance method.

RESULTS: A total of 39,457 patients were included in the study, of whom 554 died during hospitalization. The most important variables for predicting in-hospital mortality were age, sex, Glasgow Coma Scale on admission, Orthopedic Frailty Score, and cervical spine injury. The most important variables for predicting complications were age, cervical spine injury, the need for cervical spine surgery, Revised Cardiac Risk Index, and alcohol use disorder. Finally, age, cervical spine injury, sex, Glasgow Coma Scale on admission, and Orthopedic Frailty Score had the highest relative importance when predicting failure to rescue. Models based on the five most important variables for each outcome demonstrated an excellent predictive ability for in-hospital mortality (area under the receiver operating characteristic curve [AUROC], 0.84; 95% confidence interval [CI], 0.82–0.86) and failure to rescue (AUROC [95% CI], 0.86 [0.84–0.87]) as well as an acceptable predictive ability for complications (AUROC [95% CI], 0.72 [0.71–0.73]).

CONCLUSION: The most important factors identified to predict mortality, complications, and failure to rescue in traumatic spinal injury patients without spinal cord injury who undergo surgery were patients' age, sex, frailty, cervical spine injury that necessitated surgical intervention, and cardiovascular risk.

Place, publisher, year, edition, pages
Lippincott Williams & Wilkins, 2024. Vol. 98, no 3, p. 476-484
Keywords [en]
feature importance, morbidity, mortality, prediction, Traumatic spinal injury
National Category
Surgery
Identifiers
URN: urn:nbn:se:oru:diva-118361DOI: 10.1097/TA.0000000000004480PubMedID: 40013920Scopus ID: 2-s2.0-85210287830OAI: oai:DiVA.org:oru-118361DiVA, id: diva2:1927177
Available from: 2025-01-14 Created: 2025-01-14 Last updated: 2025-03-03Bibliographically approved

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Mohammad Ismail, AhmadForssten, Maximilian PeterCao, YangIoannidis, IoannisMohseni, Shahin

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