• J. Thromb. Haemost. · Jun 2005

    Genetic factors contribute to bleeding after cardiac surgery.

    • I J Welsby, M V Podgoreanu, B Phillips-Bute, J P Mathew, P K Smith, M F Newman, D A Schwinn, M Stafford-Smith, and Perioperative Genetics and Safety Outcomes Study (PEGASUS) Investigative Team.
    • Department of Anesthesiology, Duke University Medical Center, Durham, NC 27710, USA. welsb001@mc.duke.edu
    • J. Thromb. Haemost. 2005 Jun 1;3(6):1206-12.

    BackgroundPostoperative bleeding remains a common, serious problem for cardiac surgery patients, with striking inter-patient variability poorly explained by clinical, procedural, and biological markers.ObjectiveWe tested the hypothesis that genetic polymorphisms of coagulation proteins and platelet glycoproteins are associated with bleeding after cardiac surgery.Patients/MethodsSeven hundred and eighty patients undergoing aortocoronary surgery with cardiopulmonary bypass were studied. Clinical covariates previously associated with bleeding were recorded and DNA isolated from preoperative blood. Matrix Assisted Laser Desorption/Ionization, Time-Of-Flight (MALDI-TOF) mass spectroscopy or polymerase chain reaction were used for genotype analysis. Multivariable linear regression modeling, including all genetic main effects and two-way gene-gene interactions, related clinical and genetic predictors to bleeding from the thorax and mediastinum.ResultsNineteen candidate polymorphisms were assessed; seven [GPIaIIa-52C>T and 807C>T, GPIb alpha 524C>T, tissue factor-603A>G, prothrombin 20210G>A, tissue factor pathway inhibitor-399C>T, and angiotensin converting enzyme (ACE) deletion/insertion] demonstrate significant association with bleeding (P < 0.01). Adding genetic to clinical predictors results improves the model, doubling overall ability to predict bleeding (P < 0.01).ConclusionsWe identified seven genetic polymorphisms associated with bleeding after cardiac surgery. Genetic factors appear primarily independent of, and explain at least as much variation in bleeding as clinical covariates; combining genetic and clinical factors double our ability to predict bleeding after cardiac surgery. Accounting for genotype may be necessary when stratifying risk of bleeding after cardiac surgery.

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