Background: Intraoperative physiologic parameters could offer predictive utility in evaluating risk of adverse postoperative events yet are not included in current standard risk models. This study examined whether the inclusion of continuous intraoperative data improved machine learning model predictions for multiple outcomes after coronary artery bypass grafting, including 30-day mortality, renal failure, reoperation, prolonged ventilation, and combined morbidity and mortality (MM).
Methods: The Society of Thoracic Surgeons (STS) database features and risk scores were combined with retrospectively gathered continuous intraoperative data from patients.
Background: There has been a significant increase in the utilization of non-mechanical valves in the aortic position over time. However, details in reinterventions after aortic root replacement (ARR) with non-mechanical prosthesis were limited in the literature, despite the potential importance of reinterventions in the lifetime management of aortic valve disease.
Methods: This is a single-center retrospective study, identifying all patients who underwent ARR with allograft, xenografts, and stented bioprosthetic valved conduit from 2010 to 2020.
Objective: Elderly patients are less likely to undergo surgery for an acute type A aortic dissection (ATAAD). This study aims to understand the risks of surgical treatment in patients 75 and older.
Methods: This was a retrospective study using an institutional database of patients who underwent ATAAD repair from 2007 to 2021.
Background: We sought to assess the effect of postoperative renal failure (RF) on outcomes of acute type A aortic dissection (ATAAD) and identify predictors of chronic kidney disease (CKD) following ATAAD.
Methods: This retrospective single-center analysis included all adults with ATAAD from 2011 to 2023. Patients were stratified into RF and no RF groups.
Interdiscip Cardiovasc Thorac Surg
November 2024