A Study of Functional Outcome and Complications Following Total Hip Arthroplasty in Elderly Patients with Fracture Neck of Femur
Bibliographic record
Abstract
Abstract Background: Fracture neck of femur in elderly patients represents a major public health challenge with significant morbidity and mortality. Total hip arthroplasty (THA) has emerged as a preferred treatment option for displaced femoral neck fractures in elderly patients, offering immediate stability and early mobilization. This study evaluated the functional outcomes and complications following THA in elderly patients with femoral neck fractures. Methods: This prospective observational study included 78 elderly patients (aged ≥60 years) with displaced femoral neck fractures treated with primary THA between January 2023 and December 2024. Functional outcomes were assessed using the Harris Hip Score (HHS) and Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) at 3, 6, and 12 months postoperatively. Radiological evaluation included assessment of implant position, acetabular and femoral component stability, and complications. Statistical analysis was performed with significance set at p<0.05. Results: The mean age was 68.4±6.2 years with female preponderance (62.8%). The mean Harris Hip Score improved from 42.6±8.4 preoperatively to 86.4±9.2 at 12 months (p<0.001). According to HHS categories, excellent to good results were achieved in 83.3% of patients at final follow-up. The mean WOMAC score decreased from 68.4±10.2 preoperatively to 18.6±8.4 at 12 months. Complications occurred in 14.1% of patients, including dislocation (6.4%), superficial infection (3.8%), deep vein thrombosis (2.6%), and periprosthetic fracture (1.3%). One-year mortality was 5.1%. Functional outcomes showed significant correlation with preoperative mobility status (p=0.004) and comorbidity burden (p=0.012). Conclusion: Primary THA provides excellent functional outcomes and acceptable complication rates in elderly patients with femoral neck fractures. Early mobilization and rehabilitation are key factors for successful outcomes. Patient selection and perioperative optimization significantly influence postoperative recovery and complication rates.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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 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".