EFFECT OF TOURNIQUET ON LOCAL TISSUE CONCENTRATIONS OF CEFAZOLIN DURING TOTAL KNEE ARTHROPLASTY: A RANDOMIZED CLINICAL TRIAL
Bibliographic record
Abstract
Prophylactic administration of intravenous antibiotics prior to skin incision is arguably the most important measure to prevent periprosthetic joint infection (PJI) in arthroplasty surgery. To be effective, the local tissue concentration (LTC) of antibiotic must exceed the minimum inhibitory concentration (MIC) of typical infecting organisms. However, the LTC of Cefazolin during arthroplasty surgeries remains poorly understood. Our aim was to compare the systemic concentration of Cefazolin in serum with the LTC in fat, synovium and bone during primary total knee arthroplasty (TKA) while assessing the impact of tourniquet inflation. A prospective randomized clinical trial conducted from March 2022 June 2023 at a single Canadian academic center. Sixty-one consecutive patients undergoing primary TKA were randomized, and 59 patients were included in the analysis. Patients were randomized to TKA surgery perfromed with or without a limb tourniquet. Systemic blood and local tissues from the surgical site (fat, synovium and bone) were harvested at regular intervals during the surgery. The concentration of Cefazolin was quantified using a liquid chromatography–tandem mass spectrometry (LC-MS) technique. In patients undergoing TKA without a tourniquet, the mean concentration of Cefazolin in the serum was 71.9 ug/ml (SD 32.7) whereas the LTC in fat, synovium, and bone was 13.9 ug/g (8.6), 27.7 ug/g (12.6) and 17.7 ug/g (9.9), respectively. For patients undergoing TKA with a tourniquet, the mean concentration of Cefazolin in serum was 72.0 ug/ml (SD 32.6), while the LTC in fat, synovium, and bone was 9.9 ug/g (5.7), 21.8 ug/g (11.3) and 13.0 ug/g (7.7) respectively. The use of a tourniquet resulted in significantly lower LTCs in fat, synovium and bone by 60 minutes after cefazolin infusion (Fat p=0.001, Synovium p=0.03, Bone=0.007). The concentration of Cefazolin was found to be much lower in local tissues (fat, synovium and bone) than in systemic blood and the use of a limb tourniquet further significantly reduced these concentrations. Although the current prophylactic dosing regimen for Cefazolin provides sufficient serum concentrations, the levels in the local periarticular tissue during TKA may be insufficient to prevent PJI.
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 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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".