AB220. SOH25_AB_177. Patient and fracture characteristics associated with hospital admission and surgery in low-energy pelvic fractures: a retrospective cohort study
Bibliographic record
Abstract
Background: The objective was to assess how patient and fracture characteristics relate to hospital admission and surgery for low-energy pelvic injuries. Methods: We are conducting a retrospective cohort study by reviewing emergency department (ED) visits for pelvic/sacral fractures between January 2015 and September 2022 at our tertiary care hospital. Inclusion/exclusion criteria were applied to isolate patients aged 18+ years with low-energy pelvic fractures. Data on demographics, ED/hospital visits, and surgeries are being collected. Preliminary analyses for the cohort include summary statistics, relative risk ratios (RR), and student T-tests where applicable. Results: Of 715 visits, 195 patients were included with isolated low-energy pelvic fractures. Median age was 83 years old with 80.5% (n=157) female. Most patients presented from home (74.4%) or retirement home (19.5%). Computed tomography scans were performed for 67.5% of patients, 66.5% underwent orthopaedic surgery consultation, and 63.9% underwent physiotherapy consultation. Median length of ED visit was 22.8 hours. Nearly half of patients were hospitalized (48.2%), while 37.4% returned home and 10.3% received additional services. The median hospital stay was 11.9 days. Admitted patients were older, had more medical issues, and often needed mobility aids. Thirteen patients underwent surgery. Surgical patients were, on average, younger (69.4 versus 80.1 years old). Median time from admission to surgery was 3.5 days, and from surgery to discharge was 8.4 days. Conclusions: Older, frailer patients are more likely to need hospital admission for low-energy pelvic fractures. Once data collection is complete, we will assess clinically significant links between patient/fracture characteristics, hospital admission, and operative management.
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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".