Topical tranexamic acid reduces transfusion rates in simultaneous bilateral total knee arthroplasty: a retrospective case series
Bibliographic record
Abstract
Background: Topical tranexamic acid (TA) has been reported to be effective in reducing postoperative bleeding and transfusions after total knee arthroplasty (TKA). The main objective of this study was to retrospectively assess the effectiveness and safety of topical TA administration in patients undergoing simultaneous bilateral TKA. Methods: We conducted a retrospective chart review of consecutive cohorts of patients undergoing simultaneous bilateral TKA. We compared the patients who received TA with patients from a similar time frame who did not receive TA. For those who received TA, a topical concentration of 2 g per 30 mL of normal saline was used in each knee. Preoperative and postoperative hemoglobin, transfusions, length of stay (LOS) and postoperative complications were recorded for each patient until discharge. Outcome measures were analyzed using independent t test, χ2 test and logistic regression. Results: We included 49 patients in our analysis: 25 who received TA and 24 who did not. There were no statistical differences in demographics between the groups. The rate of transfusion in the TA group was 4% compared with 67% in the non-TA group (p < 0.001). The net hemoglobin loss in the TA group was 4.1 g/dL versus 6.2 g/dL in the non-TA group (p < 0.001). The use of TA was found to be associated with a greater than 99% reduced risk of receiving a transfusion (odds ratio 0.003, 95% confidence interval < 0.001–0.072, p < 0.001). There were no thromboembolic events in patients who received TA, and there was 1 pulmonary embolus in the non-TA group. Postoperative LOS was significantly reduced in the TA group (mean difference 1.1 d, p = 0.005). Conclusion: Topical administration of TA in patients undergoing simultaneous bilateral TKA significantly reduced transfusions, blood loss and postoperative LOS, with no increased risk of thromboembolic events.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".