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Record W2907047034 · doi:10.1182/blood-2018-99-119189

Impact of Perioperative Tranexamic Acid on Risk of Bleeding in Total Hip and Knee Arthroplasty: An Analysis of the Epcat II Data

2018· article· en· W2907047034 on OpenAlexaff
Sudeep Shivakumar, Daniel E. Singer, Steve Doucette, David R. Anderson

Bibliographic record

VenueBlood · 2018
Typearticle
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsDalhousie University
Fundersnot available
KeywordsTranexamic acidMedicineRivaroxabanRandomized controlled trialPerioperativeAspirinOrthopedic surgerySurgeryArthroplastyPopulationInternal medicineWarfarinBlood loss

Abstract

fetched live from OpenAlex

Abstract Introduction Tranexamic acid (TXA) is an anti-fibrinolytic agent that has been increasingly used in various surgeries to reduce bleeding complications. Recently, the use of TXA has extended to orthopedic surgeries, and in some centres it is routinely used during total hip and knee arthroplasties. The majority of data supporting this practice is from meta-analyses, as the trials evaluating TXA in this population consist of small numbers. The EPCATII study was a large, multicenter, double blind randomized trial following total hip and knee arthroplasty, evaluating thromboprophylaxis for venous thromboembolic disease. Data on intraoperative TXA use was collected, noting that the decision to use TXA was made by the attending surgical team. We analyzed the data from the EPCATII study looking at the effect of TXA use on estimated blood loss (EBL) during surgery. Methods The EPCATII study was a randomized controlled trial comparing aspirin to rivaroxaban for extended prophylaxis for venous thromboembolism in patients undergoing hip or knee arthroplasty. EPCATII participants were excluded from this analysis if either use of TXA or EBL were missing. We assessed whether use of TXA was associated with the primary outcome, EBL as reported by the study centre. A matched propensity score analysis was performed to account for confounding as TXA was given based on physician or site preference. Results After excluding 535 participants with missing values for TXA use or EBL during surgery, 2,889 participants were included in the analysis. 1,386 (47.98%) of participants did not receive TXA while 1,503 (52.02%) participants did receive TXA. The mean age in the group that did not receive TXA was 62.13 years, whereas the mean age in the group that did receive TXA was 63.20 years. More participants in the tranexamic group had a history of a major bleed (2.5% vs 0.9%, p=0.001). There were no differences in the remainder of the baseline characteristics. In the unadjusted analysis, participants who did not receive TXA had a mean EBL of 292.87 mL compared to 327.68 mL in the group that did receive TXA (p<0.001). A propensity score for use of TXA was estimated including the covariates age, sex, type of surgery, length of surgery, preoperative hemoglobin and platelet levels, site, body mass index, history of DVT/PE, history of cancer, smoking status, history of surgery and history of major bleed, with significant predictors being surgery type, length of surgery, smoking status and study site. 513 participants who received TXA were 1:1 propensity score matched to participants not receiving TXA. There was no significant difference in EBL between the two groups, as shown in Figure 1 (322.6 mL vs 341.5 mL, p=0.24). Conclusions The use of TXA in hip and knee arthroplasty did not have a significant effect on EBL in the EPCATII study population, after propensity score matching. This is contrary to recent evidence showing a benefit of TXA in this population. Variables such as surgery length, surgery type, smoking status and study site appear to be predictors of usage of TXA, and as such, these findings may be partially explained by a physician's identification of higher risk patients in the decision to use TXA. Further studies are needed to determine which patients may benefit most from intraoperative TXA. Disclosures No relevant conflicts of interest to declare.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.013
metaresearch head score (Gemma)0.029
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.029
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.014
Bibliometrics0.0030.006
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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.

Opus teacher head0.023
GPT teacher head0.298
Teacher spread0.276 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2018
Admission routes1
Has abstractyes

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