EP180 Hip Arthroscopy with Outside-in Longitudinal Capsulotomy and Comprehensive Capsular Closure Achieves Good Clinical Outcomes in Symptomatic Borderline Dysplasia of the Hip: A Retrospective Study with Mean 2-Year Follow-up
Bibliographic record
Abstract
Abstract Objective To introduce a set of hip arthroscopic capsular management for patients with symptomatic Borderline Developmental Dysplasia of the Hip and evaluate its clinical outcomes at a mean 2-year follow-up. Methods A retrospective study was conducted on symptomatic BDDH patients who underwent hip arthroscopy for labrum tear from January 2020 to January 2024. Inclusion criteria were that hip arthroscopy with outside-in longitudinal capsulotomy and comprehensive capsular closure, which includes proximal capsular augmentation and anatomical repair of the zona orbicularis addition to the side-to-side plication, and had a minimum follow-up of 6 months. The exclusion criteria included inflammatory synovitis of the hip, infections and frank dysplasia. Demographic data, surgical details and patient-reported outcomes were collected and analyzed, including International Hip Outcome Tool 12 (iHOT-12) Score, Visual Analogue Score (VAS) and Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). Result Fifty-three patients were finally enrolled with an average age of 35.4±10.9 years and a mean follow-up of 2.6±1.5 years. Beside common findings such as labral tear, cartilage injure, and ligamentum teres injuries, a relative thinner anterior capsule was confirmed 4.6±1.0 mm. Comprehensive capsular closure was performed in all cases. Significant improvements were observed in iHOT-12 (44.6±8.2 VS 79.9±7.1), VAS (3.7±1.0 VS 1.1±0.8) and WOMAC (19.4±9.7 VS 9.7±4.0) from preoperative to the final follow-up (P < 0.0001). No significant complications were found in all patients. Conclusion Hip arthroscopy with outside-in longitudinal capsulotomy and comprehensive capsular closure provide a feasible and safe solution for BDDH, and it achieve good clinical outcomes in short term follow-up.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| 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".