Timing and Management of Surgical Site Infections in Patients With Open Fracture Wounds: A Fluid Lavage of Open Wounds Cohort Secondary Analysis
Bibliographic record
Abstract
BACKGROUND: Many studies report on the incidence or prevalence of fracture-related surgical site infections (SSIs) after open fractures; however, few studies report on their timing and management outcomes. To address this gap, we used data from the Fluid Lavage of Open Wounds trial to determine timing of diagnosis, management, and resolution of SSIs. METHODS: All participants included in this analysis had an SSI after an open fracture. Participants were assigned to a group based on the type of SSI as follows: (1) those who developed a superficial SSI and (2) those who had either a deep or organ/space SSI. Descriptive statistics characterized the type, timing, and management of each SSI. RESULTS: Of the 2445 participants in the Fluid Lavage of Open Wounds trial, 325 (13.3%) had an SSI. Superficial SSIs were diagnosed significantly earlier [26.5 days, interquartile range (IQR) 12-48] than deep or organ/space SSIs (53 days, IQR 15-119). Of the 325 patients with SSIs, 174 required operative management and 151 were treated nonoperatively. For SSIs managed operatively, median time for infection resolution was 73 days (IQR 28-165), and on average, 1.73 surgeries (95% confidence interval 1.58-1.88) were needed during the 12 months follow-up. There were 24 cases whose SSIs were not resolved at the time of the final follow-up visit (12 months). CONCLUSIONS: Based on this study's findings and in contradistinction to the Centers for Disease Control and Prevention guidelines, after an open fracture, superficial SSIs were diagnosed at one month and deep/organ/space SSIs at 2 months. This information can allow for earlier infection detection. In addition, the knowledge that approximately 50% of the SSIs in our study required a reoperation and 3 months at a minimum to resolve will assist orthopaedic surgeons when counseling their patients. LEVEL OF EVIDENCE: Prognostic 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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".