Abstract

Evidence-Based Algorithm for Heparin Dosing Before Cardiopulmonary Bypass. Part 1: Development of the Algorithm

^* Columbus Childrens Hospital, Columbus, Ohio
^† Circulation Technology Division, School of Allied Medical Professions, College of Medicine, The Ohio State University, Columbus, Ohio

Address correspondence to: Mark C. McKinney, 152 Atwell Hall, Circ Tech, SAMP, OSU 453 W. 10th Avenue, Columbus, OH 43210. E-mail: mckinney.189@osu.edu

Abstract

The incidence of heparin resistance during adult cardiac surgery with cardiopulmonary bypass has been reported at 15%–20%. The consistent use of a clinical decision-making algorithm may increase the consistency of patient care and likely reduce the total required heparin dose and other problems associated with heparin dosing. After a directed survey of practicing perfusionists regarding treatment of heparin resistance and a literature search for high-level evidence regarding the diagnosis and treatment of heparin resistance, an evidence-based decision-making algorithm was constructed. The face validity of the algorithm decisive steps and logic was confirmed by a second survey of practicing perfusionists. The algorithm begins with review of the patient history to identify predictors for heparin resistance. The definition for heparin resistance contained in the algorithm is an activated clotting time <450 seconds with >450 IU/kg heparin loading dose. Based on the literature, the treatment for heparin resistance used in the algorithm is anti-thrombin III supplement. The algorithm seems to be valid and is supported by high-level evidence and clinician opinion. The next step is a human randomized clinical trial to test the clinical procedure guideline algorithm vs. current standard clinical practice.