Factors associated with health-related quality of life, hip function, and health utility after operative management of femoral neck fractures
Bibliographic record
Abstract
Aims: The primary aim of this prognostic study was to identify baseline factors associated with physical health-related quality of life (HRQL) in patients after a femoral neck fracture. The secondary aims were to identify baseline factors associated with mental HRQL, hip function, and health utility. Patients and Methods: Patients who were enrolled in the Fixation using Alternative Implants for the Treatment of Hip Fractures (FAITH) trial completed the 12-item Short Form Health Survey (SF-12), Western Ontario and McMaster Universities Arthritis Index, and EuroQol 5-Dimension at regular intervals for 24 months. We conducted multilevel mixed models to identify factors potentially associated with HRQL. Results: The following were associated with lower physical HRQL: older age (-1.42 for every ten-year increase, 95% confidence interval (CI) -2.17 to -0.67, p < 0.001); female gender (-1.52, 95% CI -3.00 to -0.05, p = 0.04); higher body mass index (-0.69 for every five-point increase, 95% CI -1.36 to -0.02, p = 0.04); American Society of Anesthesiologists class III ( versus class I) (-3.19, 95% CI -5.73 to -0.66, p = 0.01); and sustaining a displaced fracture (-2.18, 95% CI -3.88 to -0.49, p = 0.01). Additional factors were associated with mental HRQL, hip function, and health utility. Conclusion: We identified several baseline factors associated with lower HRQL, hip function, and utility after a femoral neck fracture. These findings may be used by clinicians to inform treatment and outcomes. Cite this article: Bone Joint J 2018;100-B:361-9.
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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 | 0.003 | 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 | 0.001 |
| 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".