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Record W4416222539 · doi:10.1302/1358-992x.2025.13.116

IS TOURNIQUET USE ASSOCIATED WITH A DIFFERENCE IN PATIENT-REPORTED OUTCOMES FOLLOWING TOTAL KNEE ARTHROPLASTY? A MULTICENTRE COMPARISON

2025· article· en· W4416222539 on OpenAlexaff
J. Sniderman, Brian Gibbs, David M. Freccero, Michaël Kain, Ayesha Abdeen

Bibliographic record

VenueOrthopaedic Proceedings · 2025
Typearticle
Languageen
FieldMedicine
TopicBlood transfusion and management
Canadian institutionsConcordia Hospital
Fundersnot available
KeywordsTourniquetPromTotal knee arthroplastyPatient-reported outcomeOsteoarthritisArthroplasty

Abstract

fetched live from OpenAlex

Total knee arthroplasty (TKA) is one of the most commonly performed elective procedures in North America. It is expected that the annual volume of TKAs will continue to grow as indications expand and the population ages. While there have been advancements made in patient optimization, surgical technique and implant design there continues to be a subset of patients that remain unhappy with their outcome following TKA. The use of a tourniquet intraoperatively has been a contentious issue and thought to potentially contribute to this phenomenon. With patient reported outcome measures (PROMs) being routinely collected as a tool to assess quality, we sought to identify whether tourniquet use is associated with a difference in PROMs post-operatively. As part of the PEPPER Trial, a database of over 15,000 patients was used to identify patients who underwent primary TKA with or without a tourniquet between December 2016 to November 2022. Preoperative to postoperative changes in PROMs were assessed at 1, 3 and 6 months postoperatively. PROMs collection consisted of the Knee Osteoarthritis Outcome Score Jr. (KOOS-Jr), Patient-Reported Outcomes Measurement Information System Physical Health Summary (PROMIS-PH) and the Numerical Pain Rating Scale (NPRS). Mean Clinically Important Differences (MCID) were calculated for each PROM based on established criteria. Secondary outcome measures collected consisted of complications, healthcare utilization, opioid consumption and operative time. Statistical analysis was performed comparing patient cohorts via χ² and t-tests. Multivariable regression analysis was performed to identify patient and surgical factors that influence PROMs. 5684 patients underwent elective TKA and met criteria for this analysis. 4865 (85.6%) underwent surgery with a tourniquet (YT) and 818 (14.4%) underwent surgery without a tourniquet (NT). 28 sites across North America contributed patients to the study cohort. Patients who underwent TKA without a tourniquet were younger, less comorbid and more likely to receive a cementless component. There was no difference in operative time, length of stay or discharge destination. There was similarly no difference between NT and YT at any time point with respect to KOOS-JR, PROMIS-PH and NPRS. There was no difference in opioid consumption, wound related complications and readmissions postoperatively. The proportion of patients reaching the MCID for each given PROM increased with each time interval. However, between 24-53% of patients had not reached the MCID target by 6 months. In a large patient cohort there was no difference in PROMs, opioid consumption, healthcare utilization or complications in patients undergoing TKA with or without a tourniquet. With a large proportion of patients not meeting MCID targets by 6 months, the recovery from TKA continues to be evidently a long process. This further reinforces the need for appropriate patient education and expectation setting prior to TKA.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.008
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.016
GPT teacher head0.264
Teacher spread0.248 · 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 teacher head, 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
Published2025
Admission routes1
Has abstractyes

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