Time-to-Incision for Hip Fractures in a Canadian Level-1 Trauma Centre: Are We Respecting the Guidelines?
Bibliographic record
Abstract
Background Surgical intervention within 48 hours is recommended for hip fractures in the elderly in order to reduce post-operative complications and lower mortality rates. The purpose of this retrospective study is to explore the causes of surgical delays for acute geriatric hip fractures. Methods This is a retrospective cohort study involving a total of 109 consecutive geriatric patients who sustained proximal femur fractures (“hip fractures”), who subsequently underwent definitive fixation. Clinical, demographic, and direct costing data were extracted via a modern system and electronic medical records on a centralized data warehouse. Surgical delays and length of stay were analyzed according to clinical variables. Results The established benchmark of a time-to-surgery of less than 48 hours was respected for 63 (57.8%) patients. Patients on oral anticoagulant (ACO) waited significantly longer, on average 58 hours compared to 44 for non-anticoagulated patients (p = .007). Patients with higher ASA scores waited significantly longer (p = .0018). More importantly, patients treated within 48 hours were discharged significantly earlier, on average after 10 days compared to 16 days for patients who waited more than 48 hours before receiving surgical treatment (p = .003), regardless of the pre-operative waiting time. Conclusion Fewer than 60% of patients received surgery within the 48- hour benchmark after being admitted for an acute hip fracture in a Level-1 trauma centre. Patients with more comorbidities waited longer and stayed longer in the hospital after surgery. Implementing strategic, evidence-based changes should be done using this data to improve care of this vulnerable population.
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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 | 0.002 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".