Retrospective Review of Outcomes of Total Hip Arthroplasty in Developmental Dysplasia of the Hip in Adults
Bibliographic record
Abstract
BACKGROUND: Developmental dysplasia of the hip (DDH) is a major cause of hip arthritis in young adults. Total hip arthroplasty (THA) is an effective treatment for DDH, but few studies have examined mid- (5 to 10 years) to long-term (> 10 years) outcomes. This study reports the long-term survivorship, clinical, and radiographic outcomes of THA in DDH patients. METHODS: A total of 255 patients were included from our retrospective review of THAs from January 2004 to January 2022. Among these cases, 214 (83.9%) were women; the mean age at the time of surgery was 46 years (range, 18 to 87), and the mean follow-up was 8.3 (range, 0.05 to 21.1) years. Kaplan-Meier survivorship analysis was conducted with failure defined as revision surgery for any reason. RESULTS: Kaplan-Meier survivorship for patients who underwent THA to treat DDH due to all-cause failure was 93.4% (95% confidence interval (CI): 90.3 to 96.5) at 5 years, 92.5% (95% CI: 89.0 to 95.6) at 10 years, and 90.9% (95% CI: 86.2 to 94.0) at 15 years. The overall rate of revision of the index surgery was 18 of 255 (7.1%). These complications included pain (seven), dislocation (four), aseptic loosening of the cup (three), periprosthetic fracture (two), complete foot drop (one), and infection (one). Kaplan-Meier all-cause survivorship for Hartofilakidis A, B, and C was also conducted and showed no significant differences. The mean femoral offset improved from a preoperative value of 12.2 cm (SD 1.4) to a postoperative value of 11.7 cm (SD 1.1) (P < 0.001). The rate of femoral nerve palsy was 0.78%. CONCLUSIONS: Our study suggests THA for DDH is a viable treatment, providing excellent mid-term to long-term survivorship, clinical, and radiographic outcomes with a low complication rate. Future research should evaluate patient-reported outcomes and long-term follow-up in larger cohorts.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".