Factors Associated With Mortality After Surgical Management of Femoral Neck Fractures
Bibliographic record
Abstract
BACKGROUND: Hip fractures are recognized as one of the most devastating injuries impacting older adults because of the complications that follow. Mortality rates postsurgery can range from 14% to 58% within one year of fracture. We aimed to identify factors associated with increased risk of mortality within 24 months of a femoral neck fracture in patients aged ≥50 years enrolled in the FAITH and HEALTH trials. METHODS: Two multivariable Cox proportional hazards regressions were used to investigate potential prognostic factors that may be associated with mortality within 90 days and 24 months of hip fracture. RESULTS: Ninety-one (4.1%) and 304 (13.5%) of 2247 participants died within 90 days and 24 months of suffering a femoral neck fracture, respectively. Older age (P < 0.001), lower body mass index (P = 0.002), American Society of Anesthesiologists (ASA) class III/IV/V (P = 0.004), use of an ambulatory aid before femoral neck fracture (P < 0.001), and kidney disease (P < 0.001) were associated with a higher risk of mortality within 24 months of femoral neck fracture. Older age (P = 0.03), lower body mass index (P = 0.02), use of an ambulatory aid before femoral neck fracture (P < 0.001), and having a comorbidity (P = 0.04) were associated with a higher risk of mortality within 90 days of femoral neck fracture. CONCLUSIONS: Our analysis found that factors that are indicative of a poorer health status were associated with a higher risk of mortality within 24 months of femoral neck fracture. We did not find a difference in treatment methods (internal fixation vs. joint arthroplasty) on the risk of mortality. LEVEL OF EVIDENCE: Therapeutic Level II. See Instructions for Authors for a complete description of levels of evidence.
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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) | 0.002 | 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 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".