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Predictors for heparin resistance in patients undergoing coronary artery bypass grafting
M Ranucci1, G Isgrò, A Cazzaniga
1Department of Cardiovascular Anaesthesia, University of Milan, San Donato Hospital, Italy. m.ranucci@galactica.it
Insights
Heparin resistance (HR) in cardiac surgery is predictable. Key risk factors include low antithrombin III levels, prior heparin use, high platelet count, and older age, enabling proactive management.
Area of Science:
- Cardiology
- Anesthesiology
- Hematology
Background:
- Heparin resistance (HR) is a frequent complication during cardiac operations.
- Identifying preoperative risk factors for HR is crucial for patient management.
Purpose of the Study:
- To develop a predictive model for heparin resistance (HR) based on preoperative patient characteristics.
- To identify key predictors of HR in patients undergoing elective coronary artery bypass operations.
Main Methods:
- Prospective trial involving 200 consecutive patients undergoing elective coronary artery bypass surgery.
- Collection and statistical analysis of demographic data, preoperative anticoagulation therapy, and coagulation profiles.
- Multivariate analysis to identify significant predictors of HR.
Main Results:
- Five independent predictors for HR were identified: antithrombin III (AT-III) levels ≤ 60%, preoperative subcutaneous heparin therapy, preoperative intravenous heparin therapy, platelet count ≥ 300,000 cells/mm³, and age ≥ 65 years.
- The probability of HR is 99% when all risk factors are present and 10% when none are present.
- HR is a predictable event in cardiac surgery.
Conclusions:
- Heparin resistance (HR) is a predictable complication in cardiac surgery.
- Preoperative identification of HR risk factors allows for the implementation of tailored therapeutic strategies.
- The developed predictive model can aid in optimizing patient care and managing heparin therapy.
Abstract:
Heparin resistance (HR) is a common event in cardiac operations. At present, no clear recognition of the risk factors for HR has been reached. The aim of this study was to determine a predictive model for HR, based on the preoperative patient's profile. Two hundred consecutive patients scheduled for elective coronary artery bypass operations were enrolled in a prospective trial. Demographics, type of preoperative anticoagulation therapy and preoperative coagulation profile were collected and statistically analysed with respect to the evidence of a HR. Heparin resistance was defined as at least one activated clotting time < 400 s after heparinization and/or the need for purified antithrombin III (AT-III) administration. With a multivariate analysis we could identify five predictors for HR: AT-III < or = 60%; preoperative subcutaneous heparin therapy; intravenous heparin therapy; platelet count > or = 300000 cells/mm3; age > or = 65 years. We conclude that HR is a predictable event. In the presence of all the risk factors, the likelihood of HR is 99%; in the absence of all of them, it is 10%. Predicting HR allows us to apply many possible therapeutic strategies.