Revision rate is higher in patients with periprosthetic femur fractures following revision arthroplasty in comparison with ORIF following our algorithm: a two-center 1 analysis of 129 patients
Bibliographic record
Abstract
PURPOSE: Effective therapy of periprosthetic femur fractures of the hip (PPF) are challenging due to patients' frailty and complexity of fracture patterns. The aim of this cohort study was to analyze the radiological and functional outcome following PPF. METHODS: A retrospective, multicenter study in the period 2009-2019 of patients with PPF at two level I trauma centers in Germany was performed. PPF were classified according to the Vancouver classification system. Demographic data, American Society of Anesthesiologists (ASA) classification, type of surgery, complications, and reoperation rate were obtained from patient records. The functional outcome was assessed by the modified Harris-Hip Score (mHHS), general health using the EQ-5D, and radiological outcome by Beals & Tower (B&T) criteria. RESULTS: A total of 129 patients with a mean age of 79 years (range 43-102) were included. 70% of all patients were female and 68% of the patients had an ASA score ≥ 3. 20 patients suffered from a Vancouver A, 90 from a Vancouver B and 19 from a Vancouver C fracture. 14% of the patients died within the first 2 years after surgery. The reoperation rate after open reduction and internal fixation (ORIF) (n = 60) was 8% and after revision arthroplasty (RA) (n = 47) 30% (OR 3.4, 95% CI [1.21-10.2]). Mean mHHS (n = 32) was 53 ± 19.4 and EQ-VAS was 50 ± 24.6. According to B&T criteria, 82% of patients treated with ORIF (n = 17) and 62% after RA (n = 13) showed an excellent outcome. CONCLUSION: Patients with a PPF of the hip are elderly and at increased operative risk. In cases with a stable prosthesis, ORIF provides good radiological outcome with low reoperation rates. In case of RA, the risk for revision surgery is higher.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".