Mind the guideline gap: emergent CT in patients with epilepsy for trauma rule-out—A retrospective cohort study
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Bibliographic record
Abstract
BACKGROUND: Patients with epileptic seizures represent a significant proportion of emergency department (ED) admissions and are often referred for cranial imaging due to suspected or observed trauma. Neurological guidelines provide limited advice on indications for imaging in this scenario, and traumatological clinical decision rules on the use of CT in mild traumatic brain injury explicitly exclude patients with seizures preceding the trauma. This gap in recommendations may contribute to overimaging for trauma rule-out after a seizure. METHODS: We analysed medical records of patients with known epilepsy admitted to our ED after a seizure between January 2022 and March 2024. Using clinical data including the findings from cranial CT and risk factors for traumatic brain injury, we re-assessed the need for CT imaging by application of the Canadian CT head rule (CCHR) or in the context of head trauma under anticoagulation. RESULTS: During the observational period, 683 patients with known epilepsy were referred to our hospital due to a seizure (mean age 48.8 years, 57.7% male). A head CT scan was obtained in 337 (49.3%) of all encounters. In only two patients, CT diagnosed an acute seizure-related traumatic lesion, one focal subarachnoid haemorrhage and one skull base fracture. Twenty-six cases (3.8%) with seizure-related trauma were reassessed as requiring a CT for trauma-related injury evaluation. Particularly in the absence of head impact or risk factors, a high degree of variability regarding CT ordering practice was observed. CONCLUSIONS: Our results demonstrate frequent use and low diagnostic yield of CT in ED seizure patients with respect to trauma-related head injury. Circumstantial factors, clinical signs or symptoms and medical risk factors variedly impact on clinicians' decision to perform imaging. The absence of clear recommendations regarding imaging for trauma apparently provokes frequent diagnostic rule-out even in patients with low risk for traumatic brain injury. We suggest an approach to identify patients not requiring a head CT by considering the CCHR, presence of anticoagulation and appreciating the postictal state as a feature specific to patients with seizures.
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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 | 0.005 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 it