Predicting perioperative transfusion in elective hip and knee arthroplasty: A validated predictive model

Josephine To, Romi Sinha, Susan W. Kim, Kathryn Robinson, Brendon Kearney, Donald Howie, Luen Bik To

    Research output: Contribution to journalArticlepeer-review

    28 Citations (Scopus)


    Background: Preoperative anemia is a significant predictor of perioperative erythrocyte transfusion in elective arthroplasty patients. However, interactions with other patient and procedure characteristics predicting transfusion requirements have not been well studied. Methods: Patients undergoing elective primary total hip arthroplasty or total knee arthroplasty at a tertiary hospital in Adelaide, South Australia, Australia, from January 2010 to June 2014 were used to identify preoperative predictors of perioperative transfusion. A logistic regression model was developed and externally validated with an independent data set from three other hospitals in Adelaide. Results: Altogether, 737 adult patients in the derivation group and 653 patients in the validation group were included. Binary logistic regression modeling identified preoperative hemoglobin (odds ratio, 0.51; 95% CI, 0.43 to 0.59; P < 0.001 for each 1 g/dl increase), total hip arthroplasty (odds ratio, 3.56; 95% CI, 2.39 to 5.30; P < 0.001), and females 65 yr of age and older (odds ratio, 3.37; 95% CI, 1.88 to 6.04; P = 0.01) as predictors of transfusion in the derivation cohort. Conclusions: Using a combination of patient-specific preoperative variables, this validated model can predict transfusion in patients undergoing elective hip and knee arthroplasty. The model may also help to identify patients whose need for transfusion may be decreased through preoperative hemoglobin optimization.

    Original languageEnglish
    Pages (from-to)317-325
    Number of pages9
    Issue number2
    Publication statusPublished - Aug 2017


    • perioperative transfusion
    • elective surgery
    • Hip arthroplasty/replacement
    • knee arthroplasty
    • preoperative anemia
    • hemoglobin optimization


    Dive into the research topics of 'Predicting perioperative transfusion in elective hip and knee arthroplasty: A validated predictive model'. Together they form a unique fingerprint.

    Cite this