Publications by authors named "M Senard"
Background: The risks and benefits of preoperative aspirin continuation in patients undergoing isolated heart valve replacement surgery are unclear. We investigated the effect of aspirin continuation on the risk of bleeding and transfusion in these patients.
Methods: In this single center, retrospective study, among 474 adult patients who underwent isolated heart valve surgery between April 2013 and June 2018, 269 continued aspirin within 5 days before surgery (aspirin group) and 205 patients did not take or stopped aspirin no later than 5 days before surgery (non-aspirin group).
Objectives: Circulating cardiac biomarkers may improve the prediction of long-term outcomes after cardiac surgery. The authors sought to assess if cardiac biomarkers also help better predict short-term morbidity.
Design: Prospective observational study.
Background: There are limited data on Coronavirus disease 2019 (COVID-19) in solid organ transplant patients, especially in heart transplant recipients, with only a few case reports and case series described so far. Heart transplant recipients may be at particular high risk due to their comorbidities and immunosuppressed state.
Case Presentation: This report describes the clinical course and the challenging management of early COVID-19 infection in two heart transplant recipients who tested positive for the SARS-CoV-2 virus in the perioperative period of the transplant procedure.
Article Synopsis
- * Conducted at a university hospital, the research included patients aged 75 and older, with the EFS administered prior to surgery to assess frailty.
- * Results showed that integrating the EFS with the EuroSCORE II significantly improved mortality prediction (p = 0.04) and was linked to longer ICU stays and higher rates of discharge to healthcare facilities.
Article Synopsis
- The study evaluates the effectiveness of measuring peak systolic global longitudinal strain (GLS) during transesophageal echocardiography to predict postoperative low cardiac output syndrome (LCOS) in adult patients undergoing cardiac surgery.
- It involved analyzing data from 275 patients, where GLS was found to significantly correlate with LCOS, alongside other factors like cardiopulmonary bypass duration and left ventricular ejection fraction.
- Although incorporating GLS improved the prediction model for LCOS, the overall predictive ability, assessed by the area under the ROC curve, did not show a significant difference between the two models.