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Blood Conservation in Cardiac Surgery Using a Novel Transfusion Algorithm Based on Point-of-care Testing-A Stepped-wedge Cluster Randomized Controlled Trial
This multi-centre study will provide sound, generalizable data on the effectiveness of a POC-based algorithm to determine to what extent this guideline can reduce blood product transfusions. Investigators will study outcomes in 7000 patients undergoing heart surgery at 10 participating hospitals. The proposed trial addresses several important research and clinical issues and has the potential to markedly improve the transfusion management and surgical care in general of cardiac surgery patients. The intervention will be a novel POC-based algorithm that has been shown in a pilot study by us to be associated with a substantial reduction in blood product transfusions. The algorithm will employ viscoelastic and aggregometric POC-tests and an objective measure of blood loss. The primary outcome will be avoidance of red blood cell transfusion during hospitalization. The study has a 90% power to detect a 12% increase in avoidance rate. Secondary outcomes will include avoidance of red blood cell use and other blood products (plasma, platelets, and cryoprecipitate), units of blood products transfused, and adverse clinical outcomes related to transfusion (acute kidney injury, infections, and death). Data will also be collected for future health-economics analyses. Largely due to the limitations of existing evidence, however, such algorithms are rarely used in clinical practice. The proposed trial will provide sound, generalizable data on the effectiveness of a POC-based algorithm to guide their future use. An integrated blood management algorithm that employs POC coagulation tests will reduce blood product transfusions in cardiac surgery, thereby improving clinical outcomes. Does an integrated blood transfusion algorithm that employs POC coagulation tests applied across a network of hospitals reduce blood transfusions and associated adverse outcomes in cardiac surgery?
Despite major advances in cardiac surgery, coagulopathy continues to carry a heavy burden in cases that require the use of cardiopulmonary bypass (CPB), occurring frequently and resulting in excessive blood loss, blood product transfusions, and adverse clinical outcomes. Current management of coagulopathy is hampered by the inability of conventional laboratory tests to delineate its etiology in a timely manner, thereby precluding timely and targeted transfusion therapy. With the advent of point-of-care (POC) coagulation tests that can rapidly identify the etiology of coagulopathy, it may now be possible to reduce the burden of coagulopathy and thereby reduce transfusions and adverse outcomes. Several single-centre studies (including one by the investigator group) have found that the use of POC-based algorithms in cardiac surgery can markedly reduce blood product transfusions and by that means reduce morbidities and mortality.
Age
18 - No limit years
Sex
ALL
Healthy Volunteers
No
Dr. Charles McAdams
Calgary, Alberta, Canada
Blaine Achen
Edmonton, Alberta, Canada
Dr. Terry Waters
Vancouver, British Columbia, Canada
Dr. Sukhpal Brar
Vancouver, British Columbia, Canada
Dr. H. Grocott
Winnipeg, Manitoba, Canada
Dr. Summer Syed
Hamilton, Ontario, Canada
Dr. Christopher Harle
London, Ontario, Canada
Dr. Daniel Kim
Newmarket, Ontario, Canada
Dr. D. Tran
Ottawa, Ontario, Canada
Dr. F. Moussa
Toronto, Ontario, Canada
Start Date
October 1, 2014
Primary Completion Date
September 1, 2016
Completion Date
September 1, 2016
Last Updated
December 5, 2016
7,402
ACTUAL participants
POC-based transfusion algorithm
OTHER
Lead Sponsor
University Health Network, Toronto
Data Source & Attribution
This clinical trial information is sourced from ClinicalTrials.gov, a service of the U.S. National Institutes of Health.
Modifications: This data has been reformatted for display purposes. Eligibility criteria have been parsed into inclusion/exclusion sections. Location data has been geocoded to enable distance-based search. For the authoritative and most current information, please visit ClinicalTrials.gov.
Neither the United States Government nor Clareo Health make any warranties regarding the data. Check ClinicalTrials.gov frequently for updates.
View ClinicalTrials.gov Terms and ConditionsNCT06590467