• J. Thorac. Cardiovasc. Surg. · Jan 2015

    Variation in transfusion rates within a single institution: exploring the effect of differing practice patterns on the likelihood of blood product transfusion in patients undergoing cardiac surgery.

    • Claudia Cote, Jeffrey B MacLeod, Alexandra M Yip, Maral Ouzounian, Craig D Brown, Rand Forgie, Marc P Pelletier, and Ansar Hassan.
    • Dalhousie Medicine New Brunswick, Saint John, New Brunswick, Canada.
    • J. Thorac. Cardiovasc. Surg.. 2015 Jan 1;149(1):297-302.

    ObjectivesRates of perioperative transfusion vary widely among patients undergoing cardiac surgery. Few studies have examined factors beyond the clinical characteristics of the patients that may be responsible for such variation. The purpose of this study was to determine whether differing practice patterns had an impact on variation in perioperative transfusion at a single center.MethodsPatients who underwent cardiac surgery at a single center between 2004 and 2011 were considered. Comparisons were made between patients who had received a perioperative transfusion and those who had not from the clinical factors at baseline, intraoperative variables, and differing practice patterns, as defined by the surgeon, anesthesiologist, perfusionist, and the year in which the procedure was performed. The risk-adjusted effect of these factors on perioperative transfusion rates was determined using multivariable regression modeling techniques.ResultsThe study population comprised 4823 patients, of whom 1929 (40.0%) received a perioperative transfusion. Significant variation in perioperative transfusion rates was noted between surgeons (from 32.4% to 51.5%, P < .0001), anesthesiologists (from 34.4% to 51.9%, P < .0001) and across year (from 28.2% in 2004 to 48.8% in 2008, P < .0001). After adjustment for baseline and intraoperative variables, surgeon, anesthesiologist, and year of procedure were each found to be independent predictors of perioperative transfusion.ConclusionsDiffering practice patterns contribute to significant variation in rates of perioperative transfusion within a single center. Strategies aimed at reducing overall transfusion rates must take into account such variability in practice patterns and account for nonclinical factors as well as known clinical predictors of blood transfusions.Copyright © 2015 The American Association for Thoracic Surgery. Published by Elsevier Inc. All rights reserved.

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