Treatment of Periprosthetic Femoral Fractures after Total Hip Arthroplasty Vancouver Type B
Bibliographic record
Abstract
The rate of periprosthetic femoral fractures following total hip replacement has been growing steadily in the last 20 years and ranges from 0.1% to 2.1%. These fractures are mostly related to older patients with the presence of chronic diseases and frequently poor bone quality. The treatment is surgically very complex and demanding, followed by a series of complications. The evaluation in this retrospective study included 23 patients who were medically treated from January 2004 to December 2015 with the mean follow-up of 14.5 (range, 9-25) months. There were 17 patients with cement total hip arthroplasty (THA) and 6 with cementless THA. During treatment of fractures, different techniques were implemented including the use of wire cerclage, dynamic compression plates (DCP), a locking compression plate (LCP) system, and long revision stem. For the purpose of distinguishing fractures, we used the Vancouver classification by Duncan and Masri. For clinical evaluation, we used the modified Merle d'Aubigne score system and monitored complications during treatment. The aim is to show treatment results of the type B periprosthetic femoral fractures by using different operative treatment techniques. According to the Vancouver classification within type B, 10 (43.47%) patients had type B1 fractures, another 10 (43.47%) patients had type B2 fractures, and three (13.04%) patients had type B3 fractures. According to gender distribution, there were eight (34.8%) male and 15 (65.2%) female patients, mean age 59.5 (range, 47-86) years. Twelve (52.2%) and 11 (47.8%) patients had left- and right-sided fractures, respectively. The mean length of hospital stay was 16 (range, 9-26) days. According to the Merle d'Aubigne score system, 10 patients with type B1 fractures had the mean score of 11.5 points, which is poor result. Poor result was also recorded in patients with type B2 fractures, with the mean score of 10.6 points. The three patients with type B3 fractures had the mean score of 12 points, which is considered fair score. In conclusion, Vancouver classification has been widely accepted and using the protocols makes decision making during treatment much easier. During treatment of this type of fracture, we used various implants, wire cerclage, DCP and LCP, as well as long stem revision. In certain cases, we applied surgical techniques, implants that are not recommended by the Vancouver protocol by which we treated periprosthetic femoral fractures; in these case, we recorded nonunion bone, malunion and breaking of implants, which resulted in poor treatment outcome.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".