Effect of Extended Prophylactic Antibiotic Duration in the Treatment of Open Fracture Wounds Differs by Level of Contamination
Bibliographic record
Abstract
OBJECTIVE: To determine the association between prophylactic antibiotic duration after the definitive wound closure of an open fracture and deep surgical site infection (SSI). DESIGN: Retrospective cohort study. SETTING: 41 clinical sites in the United States, Canada, Australia, Norway, and India. PARTICIPANTS: Patients (N = 2400) with open fractures of the extremities who participated in the Fluid Lavage of Open Wounds (FLOW) trial. INTERVENTION: Extended antibiotic prophylaxis, defined as more than 72 hours of continuous antibiotic use after definitive wound closure. MAIN OUTCOME MEASUREMENT: Deep SSI diagnosed within 1 year of enrollment. RESULTS: Forty-two percent of participants received extended antibiotic prophylaxis. Deep SSI prevalence was 5%, 8%, and 23% for wounds with mild, moderate, and severe contamination, respectively. In open fractures with mild contamination, extended antibiotic use showed a trend toward increased odds [adjusted odds ratio (aOR) = 1.39; 95% confidence interval (CI), 0.92-2.11] of deep SSI compared with shorter use. No association was found among patients with moderate contamination (aOR = 1.09; 95% CI, 0.53-2.27). By contrast, extended antibiotic prophylaxis was strongly protective (aOR = 0.20; 95% CI, 0.07-0.60) against deep SSI in patients with severe contamination. Propensity score sensitivity analysis results were consistent with these findings. CONCLUSIONS: The evidence suggests differential effects of extended postclosure antibiotic duration on SSI odds contingent on the degree of contamination in open fracture wounds. Although extended antibiotic duration resulted in lower odds of SSI among patients with severely contaminated wounds, we observed a trend toward higher odds of SSI in mildly contaminated wounds. LEVEL OF EVIDENCE: Therapeutic Level III. See Instructions for Authors for a complete description of levels of evidence.
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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 | 0.000 |
| 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 | 0.000 |
| 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 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".