Acute Stress Symptoms in Seriously Injured Patients: Precipitating Versus Cumulative Trauma and the Contribution of Peritraumatic Distress
Bibliographic record
Abstract
The relationship between type of trauma exposure, cumulative trauma, peritraumatic distress, and subsequent acute stress disorder (ASD) symptoms was examined prospectively in 96 individuals presenting with acute medical injuries to a Level 1 emergency/trauma department. Common precipitating traumas included motor vehicle-related events, stabbings, shootings, and physical assaults. At 2 to 3 weeks follow-up, 22.9% of participants had developed ASD. Univariate analysis revealed no relationship between type of precipitating trauma and ASD symptoms, whereas robust path analysis indicated direct effects of gender, lifetime cumulative trauma exposure, and peritraumatic distress. Peritraumatic distress did not mediate the association between cumulative trauma and symptoms, but did mediate the association between gender and symptomatology. These results, which account for 23.1% of the variance in ASD symptoms, suggest that ASD may be more due to cumulative trauma exposure than the nature of the precipitating trauma, but that cumulative trauma does not exert its primary effect by increasing peritraumatic distress to the most recent trauma.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".