Fredrik Ödling Davidsson1, Daniel Johagen1, Micael Appelblad1, Staffan Svenmarker2. 1. Department of Surgical & Perioperative Science, Heart Centre Umeå University, Umeå, Sweden. 2. Department of Surgical & Perioperative Science, Heart Centre Umeå University, Umeå, Sweden. Electronic address: staffan.svenmarker@vll.se.
Abstract
OBJECTIVE: To establish a statistical model for determination of protamine dose in conjunction with cardiopulmonary bypass. DESIGN: Prospective. SETTING: University hospital. PARTICIPANTS: Ninety consecutive cardiac surgical patients. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: A series of clinically oriented variables were introduced into a statistical model for projection of the protamine dose after cardiopulmonary bypass. The following significant predictors were identified using multivariable regression analysis: The patient's body surface area, the administered dose of heparin, heparin clearance, and the preoperative platelet count. The statistical model projected the protamine dose within 3±23 mg of the point-of-care test used as reference. CONCLUSION: Protamine dosing based on statistical modeling represents an alternative to point-of-care tests.
OBJECTIVE: To establish a statistical model for determination of protamine dose in conjunction with cardiopulmonary bypass. DESIGN: Prospective. SETTING: University hospital. PARTICIPANTS: Ninety consecutive cardiac surgical patients. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: A series of clinically oriented variables were introduced into a statistical model for projection of the protamine dose after cardiopulmonary bypass. The following significant predictors were identified using multivariable regression analysis: The patient's body surface area, the administered dose of heparin, heparin clearance, and the preoperative platelet count. The statistical model projected the protamine dose within 3±23 mg of the point-of-care test used as reference. CONCLUSION: Protamine dosing based on statistical modeling represents an alternative to point-of-care tests.