Obturator dislocation of total hip arthroplasty with disassembly of the prosthesis components and periprosthetic fracture in morbid obese patient.
Bibliographic record
Abstract
INTRODUCTION: Anterior dislocation is a rare complication of total hip arthroplasty (THA). There exist only three cases in the literature. None of them report disassembly of the prosthesis components. We present a morbidly obese woman who suffered an irreducible obturator dislocation of an infected total hip arthroplasty (THA), due to uncontrolled adduction during an early debridement surgery. Following unsuccessful closed reduction attempts, a Vancouver B2 periprosthetic fracture and disassembly of the prosthetic components were observed. Two-stage revision THA was necessary to resolve the infection and restore hip functionality. In obturator dislocation, the femoral head prosthetic can be trapped in the obturator foramen, and this may disassemble the prosthesis components during reduction maneuvers; theres also risk of periprosthetic fracture. This mandate an open reduction of the joint. Patient obesity could be a determining factor for this rare type of hip arthroplasty dislocation. Obturator dislocation is an extremely rare complication of the total hip arthroplasty, whose reductions should be handled with caution given the risks of periprosthetic fractures. In most cases, an open reduction of the joint is required. CLINICAL IMPORTANCE: Our work is likely to be of great interest because it offers tips for the management of this rare complication based on our experience.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".