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 pre
operative 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 preop
erative 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 f
or purified antithrombin III (AT-III) administration. With a multivariate a
nalysis we could identify five predictors for HR: AT-III less than or equal
to 60%; preoperative subcutaneous heparin therapy; intravenous heparin the
rapy; platelet count greater than or equal to 300 000 cells/mm(3); age grea
ter than or equal to 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 th
e absence of ail of them, it is 10%. Predicting HR allows us to apply many
possible therapeutic strategies.