Fracture-related infection after internal fixation of pelvic and acetabular fractures
Bibliographic record
Abstract
Aims: Fracture-related infection (FRI) is a relatively common and severe complication following operatively managed fractures. Patients with pelvic and acetabular fractures (PAFs) are a high-risk patient group, represent high injury severity, and are often polytraumatized. The aims of this study are to characterize a population-based cohort of patients with PAF complicated by FRI, to identify factors associated with the development of FRI and estimate the health economic burden. Methods: A retrospective analysis of a ten-year population-based, person-linked dataset was performed, including all PAF patients undergoing internal fixation within Queensland, Australia. Demographic and clinical variables were collected and included into a multivariable logistic regression. Health economic variables were compared between infected and uninfected PAF patients. Results: There were 842 patients who sustained a PAF and underwent operative stabilization, of which 52 (6.4%) were complicated by FRI. Open fractures, increased length of stay, and rural residence were associated with an increased risk of development of FRI. Direct inpatient costs for managing FRI were higher at a median $AUD 69,088 (IQR $44,338 to $104,297) versus $AUD 40,904 (IQR $27,803 to $59,371) for uninfected PAF management. Conclusion: The health economic impact is significant, with infected patients staying 2.5 times longer in hospital and costing 1.7 times more in direct inpatient costs compared to uninfected patients.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".