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Record W2163417032 · doi:10.2106/jbjs.n.00077

Blood Transfusion in Primary Total Hip and Knee Arthroplasty. Incidence, Risk Factors, and Thirty-Day Complication Rates

2014· article· en· W2163417032 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Bone and Joint Surgery · 2014
Typearticle
Languageen
FieldMedicine
TopicBlood transfusion and management
Canadian institutionsRoyal Victoria HospitalMcGill University Health CentreRoyal Victoria Regional Health CentreJewish General Hospital
Fundersnot available
KeywordsMedicineBlood transfusionOdds ratioBody mass indexArthroplastyIncidence (geometry)SurgeryComplicationAnemiaLogistic regressionRisk factorKnee replacementInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: The aim of this study was to analyze NSQIP (National Surgical Quality Improvement Program) data to better understand the incidence, risk factors, and thirty-day complication rates associated with transfusions in primary total hip and knee arthroplasty. METHODS: We identified 9362 total hip and 13,662 total knee arthroplasty procedures from the database and separated those in which any red blood-cell transfusion was performed within seventy-two hours after surgery from those with no transfusion. Patient demographics, comorbidities, preoperative laboratory values, intraoperative variables, and postoperative complications were compared between patients who received a transfusion and those who did not. Multivariate logistic regression was used to identify independent risk factors for receiving a transfusion as well as for associated postoperative complications (thirty-day incidences of infection, venous thromboembolism, and mortality). RESULTS: The transfusion rate after total hip arthroplasty was 22.2%. Significant risk factors for receiving a transfusion were age (OR [odds ratio] per ten years = 10.1), preoperative anemia (OR = 3.6), female sex (OR = 2.0), BMI (body mass index) of <30 kg/m(2) (OR = 1.4), and ASA (American Society of Anesthesiologists) class of >2 (OR = 1.3). Multivariate logistic regression analysis indicated that adjusted odds of infection, venous thromboembolism, and mortality did not differ significantly between patients who received a transfusion and those who did not. The transfusion rate after total knee arthroplasty was 18.3%. Risk factors for receiving a transfusion were age (OR per ten years = 10.2), preoperative anemia (OR = 3.8), BMI of <30 kg/m(2) (OR = 1.4), female sex (OR = 1.3), and ASA class of >2 (OR = 1.3). Multivariate logistic regression indicated that a transfusion was significantly associated with mortality (OR = 2.7) but not with infection or venous thromboembolism. CONCLUSIONS: We did not find a strong association between perioperative red blood-cell transfusion and thirty-day incidences of infection, venous thromboembolism, or mortality; however, the odds of mortality were higher in patients who received a transfusion during total knee arthroplasty. LEVEL OF EVIDENCE: Therapeutic Level III. See Instructions for Authors for a complete description of levels of evidence.

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.

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)0.001
metaresearch head score (Gemma)0.000
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 score0.058
Threshold uncertainty score0.383

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.013
GPT teacher head0.218
Teacher spread0.205 · 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