A single-stage conversion of failed LAGB leads to greater morbidity and higher complication rates when converted to LRYGB versus LSG in the first 30 days postoperatively. These differences are particularly notable with regards to bleed events, 30-day reoperation, 30-day readmission, operative time, and hospital stay.

Background. It remains uncertain how advances in revascularization techniques, availability of new evidence, and updated guidelines have influenced the annual rates of coronary revascularization in the United States.Methods. We used the Nationwide Inpatient Sample data from 2005 to 2014 with appropriate weighting to determine national procedural volumes. To present accurately overall percutaneous coronary intervention (PCI) rates, PCI with same-day discharge numbers per year were estimated from the available literature and added to annual PCI procedures performed.Results. Annual PCI rate declined from 353 per 100,000 adults in 2005 to 277 per 100,000 adults in 2009 (P < .001) but remained stable thereafter (P [ .50). Annual coronary artery bypass grafting (CABG) rate declined steadily, at a shallower slope than PCI, from 120 per 100,000 in 2005 to 93 per 100,000 in 2009 (P [ .02) but remained stable thereafter (P [ .60). Similar trends were seen in men and

IntroductionDespite the clinical benefits of bariatric surgery, some patients have experienced disappointment with their weight loss. Setting realistic expectations is the key to success.AimTo develop a specific prediction calculator to estimate the expected body mass index (BMI) at 1 year after laparoscopic sleeve gastrectomy (LSG).Material and methodsA retrospective analysis was performed to study 211 patients after primary LSG. Nine baseline variables were analyzed. Least angle regression (LARS) was employed for variable selection and to build the predictive model. External validation was performed on a dataset of 184 patients. To test the accuracy of the model, a Wilcoxon signed-rank test was performed between BMI estimates and the observed BMI. A linear logistic equation was used to construct the online predictive calculator.ResultsThe model included three variables – preoperative BMI (β = 0.023, p < 0.001), age (β = 0.005, p < 0.001), and female gender (β = 0.116, p = 0.001) – and demonstrated good discrimination (R2 = 0.672; adjusted R2 = 0.664) and good accuracy (root mean squared error of estimate, RMSE = 0.124). The difference between the observed BMI and the estimated BMI was not statistically significant (median = 0.737 (–2.676, 3.254); p = 0.223). External validation confirmed good performance of the model.ConclusionsThe study revealed a useful predictive model for estimating BMI at 1 year after LSG. The model was used for development of the PREDICT BMI calculator. This tool allows one to set realistic expectations of weight loss at one year after LSG.