Should Patients with Isolated Hip Fractures Be Included in Trauma Registries?
Bibliographic record
Abstract
BACKGROUND: Patients with isolated hip fractures are frequently excluded from trauma registries. The goal of this study was to show that patients with these injuries have higher resource use and poorer outcomes than the rest of the trauma population. METHODS: The Quebec Trauma Registry was used to identify all trauma patients from April 1, 1998, to March 31, 2003. Patients who were dead on arrival at the emergency room were excluded. Isolated hip fracture (HIP) was defined as a diagnosis of a single fracture to the neck of the femur (Abbreviated Injury Scale 1990 codes 851808.3, 851810.3, 851812.3, and 851818.3) secondary to a fall and for which the Injury Severity Score was 9 or 10 (no other Abbreviated Injury Scale code higher than 1). Patients with all other trauma diagnosis (OT) were used for comparison. Outcome variables were length of hospital stay, length of intensive care unit (ICU) stay, in-hospital complications, and status and orientation at discharge. Chi-square and Wilcoxon rank-sum tests were used. RESULTS: There were 68,422 patients: 14,426 (21.1%) HIP patients and 53,996 (78.9%) OT patients. The median Injury Severity Score was 9 for HIP (range, 9-10) and 9 for OT (range, 1-75). Mean length of hospital stay was 18.4 days for HIP compared with 11.7 days for OT (p < 0.0001). HIP patients represented 29.5% of the total hospital stay. ICU stay was required for 1,353 HIP patients (9.4%) and for 12,395 (23.0%) OT patients (p < 0.0001). Mean ICU stay was 3.9 days for HIP compared with 5.5 days for OT (p = 0.0006). In-hospital mortality was 8.5% in HIP compared with 3.7% in OT (p < 0.0001). HIP represented 62.7% of patients referred for long-term care and 39.3% of patients referred to a rehabilitation center. CONCLUSION: Patients with HIP represented 21.1% of admissions while accounting for 42% of total days of hospitalization and 38% of deaths. Patients with hip fractures have a significantly higher risk of death, prolonged hospital stay, and complication rate, and are more often transferred to a rehabilitation center or to a long-term nursing home than the rest of the trauma population despite lower severity. They require multidisciplinary care typical of the rest of the trauma population and should be included in the trauma registry if the registry is to document the full outcome and resource use of the trauma population.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.018 | 0.085 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".