Dual Mobility Acetabular Cup Utilization in Total Hip Arthroplasty: Mitigating Instability Risks
Bibliographic record
Abstract
Background: With the increase in life expectancy and the rising number of total hip arthroplasty (THA) cases, the rate of complications is also expected to increase. One of the most challenging complications is dislocation, which is the leading cause of revision surgery within the first year after THA. This study aimed to assess hip instability rates in high-risk patients who underwent dual mobility cup (DMC) implantation. Methods: This retrospective study reviewed all patients who underwent THA with DMC at Rasul-e-Akram Hospital between 2014 and 2021. DMC was used in high-risk patients for dislocation, including those with neuromuscular diseases (e.g., Parkinson's disease, poliomyelitis) and intracapsular femoral neck fractures (FNF), instead of the standard cup. Clinical outcomes, instability, and other complications were recorded. All data was analyzed using SPSS software version 27.0.1. The chi-squared test was used to compare binary variables, and the student's t-test was used to compare numerical variables after checking for normal distribution. Results: A total of 163 patients (168 hips) underwent THA with DMC, with a mean age of 58 ± 5.3 years. Five patients had bilateral total hip surgery. The average follow-up time was 48 ± 5.8 months. The average BMI of patients was 28.3 ± 3.1. The preoperative Harris Hip Score (HHS) was 49 ± 8.5, while the postoperative HHS at the four-year follow-up was 89 ± 2.4. None of the patients experienced a dislocation requiring revision, and One case of severe wear on the polyethylene's inner surface and intraprosthetic dislocation, without a dislocated metal head, was identified and revised. No cases of component loosening or significant osteolysis were observed. Conclusion: The use of DMC can significantly reduce the dislocation rate in patients with risk factors such as femoral neck fractures while improving patient satisfaction and restoring near-normal function. We recommend greater consideration of this cup in patients at risk of dislocation.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".