G Greiff1,2, H Pleym1,3, R Stenseth1,2, A Wahba1,4, V Videm5,6. 1. Department of Circulation and Medical Imaging, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway. 2. Department of Cardiothoracic Anaesthesia and Intensive Care, St. Olavs University Hospital, Trondheim, Norway. 3. Clinic of Anaesthesia and Intensive Care, St. Olavs University Hospital, Trondheim, Norway. 4. Clinic of Cardiothoracic Surgery, St. Olavs University Hospital, Trondheim, Norway. 5. Department of Laboratory Medicine, Children's and Women's Health, Faculty of Medicine, Norwegian University of Science and Technology, Trondheim, Norway. 6. Department of Immunology and Transfusion Medicine, St. Olavs University Hospital, Trondheim, Norway.
Abstract
BACKGROUND: Severe post-operative bleeding in cardiac surgery is associated with increased morbidity and mortality. We hypothesized that variation in genetic susceptibility contributes to post-operative bleeding in addition to clinical factors. METHODS: We included 1036 adults undergoing cardiac surgery with cardiopulmonary bypass. Two different endpoints for excessive post-operative bleeding were used, either defined as blood loss exceeding 2 ml/kg/h the first 4 h post-operatively or a composite including bleeding, transfusions, and reoperations. Twenty-two single nucleotide polymorphisms (SNPs) central in the coagulation and fibrinolysis systems or in platelet membrane receptors were genotyped, focusing on replication of earlier non-replicated findings and exploration of potential novel associations. Using logistic regression, significant SNPs were added to a model with only clinical variables to evaluate whether the genetic variables provided additional information. RESULTS: Univariate tests identified rs1799809 (located in the promoter region of the PROC gene), rs27646 and rs1062535 (in the ITGA2 gene), rs630014 (in the ABO gene), and rs6048 (in the F9 gene) as significantly associated with excessive post-operative bleeding (P < 0.05, P-values confirmed by permutation). The SNPs were significant also after adjustment with clinical variables, showing almost unchanged odds ratios except for rs1799809 (P = 0.06). Addition of the genetic covariates to a logistic regression model with clinical variables significantly improved the model (P < 0.01). CONCLUSION: We identified five SNPs associated with post-operative bleeding after cardiac surgery, of which two validated previously published associations. Addition of genetic information to models with only clinical variables improved the models. Our results indicate that common genetic variations significantly influence post-operative bleeding after cardiac surgery.
BACKGROUND: Severe post-operative bleeding in cardiac surgery is associated with increased morbidity and mortality. We hypothesized that variation in genetic susceptibility contributes to post-operative bleeding in addition to clinical factors. METHODS: We included 1036 adults undergoing cardiac surgery with cardiopulmonary bypass. Two different endpoints for excessive post-operative bleeding were used, either defined as blood loss exceeding 2 ml/kg/h the first 4 h post-operatively or a composite including bleeding, transfusions, and reoperations. Twenty-two single nucleotide polymorphisms (SNPs) central in the coagulation and fibrinolysis systems or in platelet membrane receptors were genotyped, focusing on replication of earlier non-replicated findings and exploration of potential novel associations. Using logistic regression, significant SNPs were added to a model with only clinical variables to evaluate whether the genetic variables provided additional information. RESULTS: Univariate tests identified rs1799809 (located in the promoter region of the PROC gene), rs27646 and rs1062535 (in the ITGA2 gene), rs630014 (in the ABO gene), and rs6048 (in the F9 gene) as significantly associated with excessive post-operative bleeding (P < 0.05, P-values confirmed by permutation). The SNPs were significant also after adjustment with clinical variables, showing almost unchanged odds ratios except for rs1799809 (P = 0.06). Addition of the genetic covariates to a logistic regression model with clinical variables significantly improved the model (P < 0.01). CONCLUSION: We identified five SNPs associated with post-operative bleeding after cardiac surgery, of which two validated previously published associations. Addition of genetic information to models with only clinical variables improved the models. Our results indicate that common genetic variations significantly influence post-operative bleeding after cardiac surgery.
Authors: Dominik Rath; Elke Schaeffeler; Stefan Winter; Semjon Levertov; Karin Müller; Michal Droppa; Fabian Stimpfle; Harald F Langer; Meinrad Gawaz; Matthias Schwab; Tobias Geisler Journal: Front Cardiovasc Med Date: 2017-08-21