Increased Incidence of Complications in Trauma Patients Cointoxicated With Alcohol and Other Drugs
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Alcohol and drug intoxication is prevalent in trauma patients. Although intoxication and cointoxication can have a range of physiologic effects, their implications for clinical management are unclear. The current investigation aims to assess the effects of alcohol and substance use as well as the interaction between these two states on outcomes and in-hospital complications. METHODS: All trauma patients with an Injury Severity Score (ISS) >or=12 during a 5-year period who were tested for both alcohol and other drugs were included. Alcohol-positive, drug-positive, and both-positive patients were compared with patients who tested negative. Logistic regression analysis was performed controlling for age and ISS to assess the relative contribution of intoxication or cointoxication in determining clinical outcomes and in-hospital complications. RESULTS: For alcohol-positive and drug-positive patients, intoxication status did not appear to influence outcomes. However, cointoxicated individuals were found to have an increased incidence of complications overall (odds ratio [OR] = 2.06), an increased incidence of pneumonia specifically (OR = 3.34) and an increased incidence of the requirement for mechanical ventilation (OR = 2.37). CONCLUSIONS: Cointoxication with alcohol and other drugs is a risk factor for increased in-hospital complications.
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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 | 0.001 | 0.000 |
| 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 | 0.000 |
| 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