Association of length of hospital stay with delay to surgical fixation of hip fracture
Bibliographic record
Abstract
<h3>Background:</h3> Previous research has shown increases in length of stay (LOS), morbidity and mortality when the standard for surgical fixation of hip fracture of 48 hours is not met. However, few investigators have analyzed LOS as a primary outcome, and most used time of diagnosis as opposed to time of fracture as the reference point. We examined the effect of time to surgical fixation of hip fracture, measured from time of fracture, on length of hospital stay; the secondary outcome was average 1-year mortality. <h3>Methods:</h3> We conducted a retrospective cohort study of patients presenting to 1 of 2 tertiary care centres in St. John’s, Newfoundland and Labrador, Canada, with a hip fracture from Jan. 1, 2014, to Dec. 31, 2018. We analyzed 3 groups based on timing of surgical fixation after fracture: less than 24 hours (group 1), 24–48 hours (group 2) and more than 48 hours (group 3). We assessed statistical significance using 1-way analysis of variance. <h3>Results:</h3> Of the 692 patients included in the study, 212 (30.6%) were in group 1, 360 (52.0%) in group 2 and 120 (17.3%) in group 3. A delay to surgical fixation exceeding 48 hours was associated with a significantly longer LOS, by an average of 2.9 and 2.8 days compared to groups 1 and 2, respectively (<i>p</i> = 0.04); there was no significant difference in LOS between groups 1 and 2. A significant difference in average 1-year mortality was observed between groups 1 (11%) and 3 (26%) (<i>p</i> = 0.004), and groups 2 (13%) and 3 (<i>p</i> = 0.009). <h3>Conclusion:</h3> Surgical fixation beyond 48 hours after hip fracture resulted in significantly increased LOS and 1-year mortality. Further research should be conducted to evaluate reasons for delays to surgery and the effects of these delays on time to surgical fixation as measured from time of fracture.
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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) | 0.000 | 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) | 0.001 | 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".