Primary Wound Closure After Open Fracture: A Prospective Cohort Study Examining Nonunion and Deep Infection
Bibliographic record
Abstract
OBJECTIVES: Determine the proportion of subjects developing deep infection or nonunion after primary wound closure of open fractures (humerus, radius/ulna, femur, and tibia/fibula). Secondarily, a matched-series analysis compared outcomes with subjects who underwent delayed wound closure. DESIGN: Prospective cohort between 2009 and 2013 of subjects undergoing primary closure. SETTING: Trauma center. PARTICIPANTS: Eighty-three (84 fractures) subjects were enrolled. Eighty-two (99%) subjects (83 fractures) provided follow-up data. Matching (age, sec, fracture location, and grade) was performed using study data of delayed wound closure undertaken at the same center between 2001 and 2009 (n = 68 matched subjects). INTERVENTION: Primary wound closure occurred when the fracture grade was Gustilo grade 3A or lower and the wound deemed clean at initial surgery. Standardized evaluations occurred until the fracture(s) healed; phone interviews and chart reviews were also undertaken at 1 year. MAIN OUTCOME MEASUREMENTS: Deep infection is defined as infection requiring unplanned surgical debridement and/or sustained antibiotic therapy after wound closure; nonunion is defined as unplanned surgical intervention after definitive wound closure or incomplete radiographic healing 1-year after fracture. RESULTS: Three (4%) subjects had deep infections, whereas 10 (12%) subjects developed nonunion in the primary closure cohort. In the matched analyses [n = 68 pairs; (136 subjects)], the primary closure cohort had fewer deep infections [n = 3 (4%) vs. n = 6 (9%)] and nonunions [n = 9 (13%) vs. n = 19 (29%)] than the delayed closure cohort (P < 0.001). CONCLUSIONS: Primary wound closure after an open fracture appears acceptable in appropriately selected patients and may reduce the risk of deep infection and nonunion compared with delayed closure; a definitive randomized trial is needed. LEVEL OF EVIDENCE: Prognostic Level II. 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 | 0.001 |
| 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".