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 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 | 0.000 | 0.001 |
| 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 | 0.000 | 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".