JOURNAL ARTICLE
Patient Characteristics to Inform Military Medical Evacuation Decision-Making in Mild Isolated Head Injury.
Published In: Military Medicine, 2025, v. 190, n. 5/6. P. e953 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Eisenhauer, Ian F; Finck, Lani L; Dixon, Julia M; Schauer, Steven G; Tadlock, Matthew D; Vries, Shaheem de; Lategan, Hendrick; Stassen, Willem; Wylie, Craig; Mould-Millman, Nee-Kofi 3 of 3
Abstract
This article focuses on identifying clinical factors associated with serious intracranial injury or early hospital discharge within 48 hours among patients with mild head injury, to inform medical evacuation decisions in austere military settings. Using data from the U.S. Department of Defense–funded Epidemiology and Outcomes of Prolonged Trauma Care (EpiC) study in South Africa, the analysis of 2,031 patients aged 18–50 with isolated mild head injury (Glasgow Coma Scale [GCS] ≥14) found that a GCS of 15 and negative or no head imaging strongly predicted discharge within 48 hours, while altered systolic blood pressure (SBP <100 or >160 mmHg), GCS of 14, and the need for life-saving interventions (LSIs) were associated with abnormal computed tomography (CT) findings and prolonged hospitalization. The study suggests these clinical indicators could aid triage and transport prioritization when advanced imaging and timely aeromedical evacuation are unavailable, though further research is needed to validate their predictive utility in military contexts. Limitations include the observational design and setting-specific factors that may affect generalizability to U.S. military populations.
Additional Information
- Source:Military Medicine. 2025/05, Vol. 190, Issue 5/6, pe953
- Document Type:Article
- Subject Area:Health and Medicine
- Publication Date:2025
- ISSN:0026-4075
- DOI:10.1093/milmed/usaf058
- Accession Number:184724931
- Copyright Statement:Copyright of Military Medicine is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.