Traditionally, patients with obesity have been deemed ineligible for extracorporeal life support (ELS) therapies such as extracorporeal membrane oxygenation (ECMO), given the association of obesity with chronic health conditions that contribute to increased morbidity and mortality. Nevertheless, a growing body of literature suggests the feasibility, efficacy, and safety of ECMO in the obese population. This review provides an in-depth analysis of the current literature assessing the effects of obesity on outcomes among patients supported with ECMO (venovenous [VV] ECMO in noncoronavirus disease 2019 and coronavirus disease 2019 acute respiratory distress syndrome, venoarterial [VA] ECMO, and combined VV and VA ECMO), offer a possible explanation of the current findings on the basis of the obesity paradox phenomenon, provides a framework for future studies addressing the use of ELS therapies in the obese patient population, and provides guidance from the literature for many of the challenges related to initiating, maintaining, and weaning ELS therapy in patients with obesity.
View Article and Find Full Text PDFBackground: This study sought to determine the outcome effect of concomitant tricuspid valve operation for regurgitation during pericardiectomy for constrictive pericarditis.
Methods: This cohort study included 310 patients with mild or greater tricuspid valve regurgitation who underwent pericardiectomy for constrictive pericarditis from 2000 to 2016 at the Mayo Clinic in Rochester, Minnesota. Patients were divided into 2 treatment groups: tricuspid valve operation (n = 68) and no tricuspid operation (n = 242).
Background: Traditional duodenal switch (DS) typically leaves a short common channel and is infrequently performed in part due to increased risk of malnutrition. We compared nutritional deficiencies between DS with a moderate channel length and standard proximal Roux-en-Y gastric bypass (RYGB).
Methods: We conducted a retrospective review of 61 matched pairs who underwent DS or RYGB using our institutional database; patients were matched on sex, age, race, and BMI.