View clinical trials related to Aortic Surgery.
Filter by:Comparison of the diagnostic capabilities of rotational thromboelastometry (ROTEM) and standard coagulogram in the detection of disorder and correction of the hemostasis system in the perioperative period in patients who underwent surgical intervention on the aorta under cardiopulmonary bypass and or circulatory arrest.
Postoperative bleeding in cardiac surgery is a frequent complication, and cardiac surgery utilizes 15-20% of the national blood supply. Packed red blood cells (pRBCs) are associated with worse short and long term outcomes. For each unit transfused, there is an additive risk of mortality (death) and cardiac adverse events. Despite current guidelines and numerous approaches to bleeding reduction, >50% of the patients undergoing cardiac surgery receive transfusions. Acute normovolemic hemodilution (ANH), a blood conservation technique that removes whole blood from a patient immediately prior to surgery, could be a valuable method to reduce transfusion in complex cardiac surgery. At the University of California, Los Angeles (UCLA), ANH is routinely utilized in patients who refuse allogenic blood transfusions such as Jehovah's Witnesses. ANH has been shown to be safe with minimal risk to patients. ANH has been studied in simple cardiac surgery, such as coronary artery bypass grafting, however it has not been studied in complex cardiac surgery, such as aortic surgery and adult congenital heart disease. ANH has been demonstrated to reduce pRBC transfusion in lower risk cardiac surgery without any significant complications. Complex heart surgery utilizes more blood products. This study could identify the benefits of ANH in a higher risk surgical group.
The aim of our study was to evaluate the impact of aortic root replacement by a graft on the elastic properties of the descending thoracic aorta using cardiac Magnetic Resonance Imaging (MRI) and automatic post-processing. Nineteen patients were operated on an aortic root aneurysm and a cardiac MRI allowing aortic compliance measurement was performed before and after surgery. Images were acquired with a 1.5 T MRI with only one additional sequence to a conventional aortic MRI protocol.
New biomarkers that predict the development of renal dysfunction in patients with aortic surgery are urgently needed. The investigators investigate whether urinary (TIMP-2)x(IGFBP7) predicts postoperative Acute Kidney Injury and/or need for Renal Replacement Therapy (RRT) in patients after aortic surgery (including EVAR).
Acute kidney injury(AKI) is a common and severe complication after the cardiac surgery. Postoperative AKI increases the in-hospital stay, intensive care unit(ICU) stay and postoperative mortality. Aortic surgery is the most risky surgery that causes the postoperative AKI, and the incidence of AKI after aortic surgery is about 50%. Statin is a 3-hydroxy-3-methyl-glutaryl co-enzyme A (HMG CoA) reductase inhibitors and is used primarily to lower the level of plasma cholesterol. Apart from the antilipid effect, statin has pleiotropic effects include anti-inflammation, decrease of oxidative stress, recovery of endothelial cell injury and stabilization of thrombus. The pathology of AKI after aortic surgery include not only hypoperfusion of renal blood flow but also thromboembolism, inflammatory reaction after use of cardiopulmonary bypass(CPB) and oxidative stress. Therefore, the incidence of AKI after aortic surgery can be expected to decrease after the perioperative use of statin because of the pleiotropic effects of it. The aim of this study is to examine the association between preoperative statin treatment and the incidence of postoperative acute kidney injury(AKI) in patients undergoing aortic surgery
Acute kidney injury after cardiac surgery has been reported to increase morbidity and mortality. Several risk scoring models for prediction of aortic kidney injury after cardiac surgery have been developed. However, predictive accuracy of these models is stil unclear. The aim of this study is to evaluate the accuracy of four pre-existing prediction models using a gray zone approach in patients who underwent aortic surgery in our institution.