Publications by authors named "E Le Pabic"
Background & Aims: There is still some uncertainty towards the best method to diagnose the sarcopenic obesity, and specifically, altered body composition. A recent international consensus proposes the association of increased fat mass (FM) with reduced skeletal muscle mass adjusted by weight (SMM/W) (method 1). The ratio of fat mass index (FMI)/fat free mass index (FFMI) (method 2) has also been proposed.
View Article and Find Full Text PDFObjective: Patients with symptomatic lower extremity artery disease (LEAD) should have an optimal management in terms of lipid goal [i.e. controlled LDL-cholesterol (LDLc)] and medical treatment (triple therapy with an antiplatelet agent, a statin and an angiotensin-converting enzyme inhibitor or a angiotensin-receptor antagonist).
View Article and Find Full Text PDFArticle Synopsis
- When liver transplants are done at night, doctors wanted to see if it causes more problems afterwards.
- They looked at 790 patients who had liver transplants from 2012 to 2018.
- The study found that transplants done late at night had more serious complications and needed more blood transfusions compared to those done during the day.
Background: The best management of symptomatic patients with low-gradient (LG) severe aortic stenosis (AS) and preserved left ventricular ejection fraction (LVEF) has not been established. The Randomised study for the Optimal Treatment of symptomatic patients with low-gradient severe Aortic valve Stenosis (ROTAS) trial aimed to assess the superiority of aortic valve replacement (AVR) versus medical treatment (MT) in this specific group of AS patients.
Methods: Patients with symptomatic LG severe AS and preserved LVEF (>50%) underwent dobutamine stress echocardiography and/or CT-aortic calcium score to confirm AS severity and were then randomised 1:1 to AVR or MT.
Introduction And Aims: In obese patients, long-term weight loss maintenance remains challenging. Identifying factors predicting adhesion to lifestyle therapy and weight loss would help optimizing obesity management.
Aims: to identify predictive factors of weight loss after one year of medical therapy in obese patients (primary) and predictive factors of drop-out during the year of therapy (secondary).