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POC - Transfusion Algorithm Cardiac Study

Blood Conservation in Cardiac Surgery Using a Novel Transfusion Algorithm Based on Point-of-care Testing-A Stepped-wedge Cluster Randomized Controlled Trial

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT02200419
Acronym
TACS
Enrollment
7402
Registered
2014-07-25
Start date
2014-10-31
Completion date
2016-09-30
Last updated
2016-12-05

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Heart Diseases

Keywords

Rotem, Point of care coagulation tests, Cardiac surgery, Vascular surgery, Cardiopulmonary bypass, Blood products, Transfusion, Viscoelastic coagulation

Brief summary

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?

Detailed description

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.

Interventions

OTHERPOC-based transfusion algorithm

A transfusion algorithm based on point-of-care coagulation testing.

Sponsors

University Health Network, Toronto
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
DIAGNOSTIC
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

Hospital Inclusion: * Participating hospitals must not currently be using a POC-based blood conservation algorithm; must have an in-hospital RBC transfusion rate of \> 35% and platelet or plasma transfusion rates of \> 20%; must conduct \> 600 cardiac surgeries employing CPB per year; and must have commitments from departments of Anesthesia, Cardiac Surgery, and Laboratory Medicine to support the study and to abide by the algorithm * Blood transfusion algorithm instituted as standard-of-care at participating hospitals * All adult (≥ 18 years) patients undergoing cardiac surgery with cardiopulmonary bypass (CPB) will be included in the analysis.

Exclusion criteria

Hospitals not meeting inclusion.

Design outcomes

Primary

MeasureTime frameDescription
Point Of Care (POC) Transfusion Algorithm Cardiac Study2.5 yearsThe primary outcome measure will be the proportion of patients who receive any allogeneic red blood cell (RBC) transfusion from admission before surgery to end of follow-up.

Secondary

MeasureTime frameDescription
Transfusion7 daysAllogeneic blood products (platelets, plasma, cryoprecipitate) or coagulation factors (e.g., fibrinogen concentrate, factor VIIa), or undergo re-exploration; units of blood products transfused, nadir hemoglobin concentration (to identify changes in transfusion practice that may be unrelated to treatment of coagulopathy)
Blood loss24 hoursChest-tube drainage at 6 and 24 hours after surgery
Ventilation and hospital stay24 hours to 7 daysDuration of mechanical ventilation and length of stay in the ICU and hospital
Kidney injury48 hoursIncidence of acute kidney injury, defined as a ≥ 2-fold in increase in creatinine or new renal replacement therapy within 48 hours after surgery
Post operative complications7 daysArrhythmias, sternal infection, myocardial infarction, stroke, thromboembolic events, and death

Countries

Canada

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Mar 1, 2026