Tranexamic Acid Reduces the Amount of Blood Transfused in Revision Total Hip Arthroplasty for Vancouver B2/B3 Periprosthetic Femur Fractures
Bibliographic record
Abstract
Background: Periprosthetic fractures around total hip arthroplasty (THA) represent a significant source of morbidity and mortality. The use of tranexamic acid (TXA) in arthroplasty is well described, yet little literature supports its role in periprosthetic femur fractures (PFFs). This study investigated the effect of preoperative TXA administration on transfusion rate and volume, length of stay, and 90-day complication rates in patients undergoing revision THA for PFF. Materials and Methods: All patients undergoing revision THA for PFF (Vancouver B2/B3) at our institution from August 2016 to June 2022 were identified. Routine TXA administration at surgical start was introduced in 2018. Patient demographics, operative time, blood product use, length of stay, and 90-day complications were collected. Patients were divided into those who received TXA preoperatively and those who did not. Results: A total of 56 patients were included. There was no difference in age, sex, anesthetic type, fracture classification, or preoperative blood values between cohorts. TXA significantly lowered the amount of blood product required (2.3 units vs 3.2 units, P =.023). Preoperative TXA did not independently reduce length of stay; however, blood transfusion was associated with increased length of stay (7 days vs 4.7 days, P =.003). There were no differences in 90-day complications. Conclusion: Among patients who underwent revision THA for Vancouver B2/B3 PFF, TXA did not affect transfusion rates but did result in the use of fewer blood products without an increase in complications. We support routine use of TXA in this patient population. Future studies should assess earlier administration of TXA in the emergency department or once patients' conditions have been medically optimized. [ Orthopedics . 2024;47(5):e261–e267.]
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".