This study examined outcomes in patients with left ventricular assist device (LVAD) and extracorporeal membrane oxygenation (ECMO) requiring noncardiac surgical procedures and identified factors that influence outcomes. All patients with mechanical circulatory support (MCS) devices at our institution from 2002 to 2013 undergoing noncardiac surgical procedures were reviewed. There were 148 patients requiring MCS during the study period, with 40 (27.0%) requiring 62 noncardiac surgical procedures. Of these, 29 (72.5%) had implantable LVAD and 11 (27.5%) were supported with ECMO. The two groups were evenly matched with regard to age (53.6 vs. 54.5 years, p = 0.87), male sex (71.4 vs. 45.5%, p = 0.16), and baseline creatinine (1.55 vs. 1.43 mg/dl, p = 0.76). Patients on ECMO had greater demand for postoperative blood products (0.8 vs. 2.8 units of packed red blood cells, p = 0.002) and greater postoperative increase in creatinine (0.07 vs. 0.44 mg/dl, p = 0.047). Median survival was markedly worse in ECMO patients. Factors associated with mortality included ECMO support, history of biventricular assist device, and postoperative blood transfusion. Preoperative aspirin was associated with survival. These findings demonstrate the importance of careful surgical hemostasis and minimizing perioperative blood transfusions in patients on MCS undergoing noncardiac surgical procedures. In addition, low-dose antiplatelet therapy should be continued perioperatively.
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http://dx.doi.org/10.1097/MAT.0000000000000140 | DOI Listing |
J Anesth
January 2025
Department of Anesthesiology, the First Affiliated Hospital, Sun Yat-sen University, No.58, Zhongshan 2Nd Road, Guangzhou, 510080, China.
Purpose: Perioperative respiratory adverse event (PRAE) is one of the most common complications in pediatric anesthesia. We aimed to evaluate the efficacy of perioperative pharmacological interventions to prevent the development of PRAE in children undergoing noncardiac surgery.
Methods: PubMed, Embase, Cochrane Library and ClinicalTrials.
BMC Nephrol
January 2025
College of Nursing and Midwifery, MBRU, Dubai Health, Dubai, UAE.
Background: Cardiac surgery is a major contributor to acute kidney injury (AKI); approximately 22% of patients who undergo cardiac surgery develop AKI, and among them, 2% will require renal replacement therapy (RRT). AKI is also associated with heightened risks of mortality and morbidity, longer intensive care stays, and increased treatment costs. Due to the challenges of treating AKI, prevention through the use of care bundles is suggested as an effective approach.
View Article and Find Full Text PDFBMC Anesthesiol
January 2025
Department of Anesthesia, College of Medicine and Health Sciences, Bahir Dar University, PO Box 79, Bahir Dar, Ethiopia.
Introduction: In a low-income country, the impact of preoperative anemia on postoperative mortality among noncardiac surgery patients is little understood. As a result, we aim to investigate the association between preoperative anemia and postoperative mortality in noncardiac surgery patients in Northwest Ethiopia.
Methods: This is a prospective follow-up study of 3506 noncardiac surgery patients who were included in the final analysis between June 1, 2019, and July 1, 2021.
Interdiscip Cardiovasc Thorac Surg
December 2024
Copenhagen Academy for Medical Education and Simulation (CAMES), Center for HR & Education, Copenhagen, Denmark.
Background: Simulation-based training has gained distinction in cardiothoracic surgery as robotic-assisted cardiac procedures evolve. Despite the increasing use of wet lab simulators, the effectiveness of these training methods and skill acquisition rates remain poorly understood.
Objectives: This study aimed to compare learning curves and assess the robotic cardiac surgical skill acquisition rate for cardiac and noncardiac surgeons who had no robotic experience in a wet lab simulation setting.
Anaesthesia
January 2025
Department of Medical Physics and Biomedical Engineering, University College London, London, UK.
Introduction: Understanding 1-year mortality following major surgery offers valuable insights into patient outcomes and the quality of peri-operative care. Few models exist that predict 1-year mortality accurately. This study aimed to develop a predictive model for 1-year mortality in patients undergoing complex non-cardiac surgery using a novel machine-learning technique called multi-objective symbolic regression.
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