Delay in Flap Coverage Past 7 Days Increases Complications for Open Tibia Fractures: A Cohort Study of 140 North American Trauma Centers
Bibliographic record
Abstract
OBJECTIVES: To measure time to flap coverage after open tibia fractures and assess whether delays are associated with inpatient complications. DESIGN: Retrospective cohort study. SETTING: One forty level I and II trauma centers in Canada and the United States. PATIENTS/PARTICIPANTS: Adult patients (≥16 years) undergoing surgery for (1) an open tibia (including ankle) fracture and (2) a soft-tissue flap during their index admission between January 1, 2012, and December 31, 2015, were eligible for inclusion. EXPOSURE: Time from hospital arrival to definitive flap coverage (in days). MAIN OUTCOME MEASUREMENTS: The primary outcome was a composite of the following complications occurring during the index admission: (1) deep infection, (2) osteomyelitis, and/or (3) amputation. The primary analysis compared complications between early and delayed coverage groups (≤7 and >7 days, respectively) after matching on propensity scores. We also used logistic regression with time to flap coverage as a continuous variable to examine the impact of the duration of delay on complications. RESULTS: There were 672 patients at 140 centers included. Of these, 412 (61.3%) had delayed coverage (>7 days). Delayed coverage was associated with a significant increase in complications during the index admission after matching (16.7% vs. 6.2%, P < 0.001, number needed to harm = 10). Each additional week of delay was associated with an approximate 40% increased adjusted risk of complications (adjusted odds ratio 1.44, 95% confidence interval 1.13-1.82, for each week coverage was delayed, P = 0.003). CONCLUSION: This is the first multicenter study of flap coverage for tibia fractures in North America. Complications rose significantly when flap coverage was delayed beyond 7 days, consistent with current guideline recommendations. Because the majority of patients did not have coverage within this timeframe, initiatives are required to improve care for patients with these injuries. 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 | 0.000 | 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".