Role of the Maxillofacial Surgeon in Identifying the Correlation Between Facial Bone Fractures and Traumatic Brain Injury - A Prospective Study
Bibliographic record
Abstract
Introduction: Maxillofacial trauma accounts for a high percentage of patients reporting to the emergency medicine department and being admitted in the hospital. The purpose of this study was to form a direct association between maxillofacial fractures and traumatic brain injury (TBI). Methods: Ninety patients with maxillofacial fractures that reported to/were referred to the Department of Oral and Maxillofacial Surgery were observed for features indicative of TBI based on clinical presentation and radiological interpretations. Parameters such as loss of consciousness, vomiting, dizziness, headache, seizures and the requirement for intubation, cerebrospinal fluid rhinorrhoea and otorrhoea were also assessed. Appropriate radiographs for the diagnosis of the fracture were taken followed by a computed tomography (CT) scan when indicated in accordance to the Canadian CT Head Rule. These scans were then assessed for contusion, extradural haemorrhage, subdural haemorrhage, subarachnoid haemorrhage, pneumocephalus and cranial bone fracture. Results: A total of 90 patients were evaluated, of which 91.1% were males and 8.9% were females. Association between the occurrence of head injury and different maxillofacial bone fractures using the Chi-square test showed a statistical significance of <0.001 in patients with naso-orbito-ethmoid as well as frontal bone fractures. There was a clear association between fractures present in the upper as well as the middle third of the face and traumatic head injury ( P ≤ 0.001). Discussion: Patients with the frontal bone and zygomatic bone fractures have a high prevalence of TBI. Patients with the upper and middle third of the face injury are more prone to traumatic head injury and importance should be given to patients with the same and prevent poor prognosis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".