Background Since 2014, the International Federation for the Surgery of Obesity and Metabolic Disorders (IFSO) has produced an annual report of all bariatric surgery submitted to the Global Registry. We describe baseline demographics of international practice from the 4th report. Methods The IFSO Global Registry amalgamated data from 51 different countries, 14 of which provided data from their national registries. Data were available from 394,431 individual records, of which 190,177 were primary operations performed since 2014. Results Data were submitted on 72,645 Roux en Y gastric bypass operations (38.2%), 87,467 sleeve gastrectomy operations (46.0%), 14,516 one anastomosis gastric bypass procedures (7.6%) and 9534 gastric banding operations (5.0%) as the primary operation since 2014. The median patient body mass index (BMI) pre-surgery was 41.7 kg m 2 (inter-quartile range: 38.3-46.1 kg m 2). Following gastric bypass, 84.1% of patients were discharged within 2 days of surgery; and 84.5% of sleeve gastrectomy patients were discharged within 3 days. Assessing operations performed between 2012 and 2016, at one year after surgery, the mean recorded percentage weight loss was 28.9% and 66.1% of those taking medication for type 2 diabetes were recorded as not using them. The proportion of patients no longer receiving treatment for diabetes was highly dependent on weight loss achieved. There was marked variation in access and practice. Conclusions A global description of patients undergoing bariatric surgery is emerging. Future iterations of the registry have the potential to describe the operated patients comprehensively.

Using prognostic models, it was possible to develop a risk-stratification index that accurately predicted survival in patients presenting with malignant large bowel obstruction. The methodology and model for risk adjusted survival can set the reference point for more accurate and reliable comparative analysis and be used as an adjunct to the process of informed consent.

The risk-adjusted sequential probability test is simple to implement, can be applied in a variety of contexts, and might have been useful to detect specific instances of past divergent performance. The use of this and related techniques deserves further attention in the context of prospectively monitoring adverse clinical outcomes.

Background-Heart valve surgery has an associated in-hospital mortality rate of 4% to 8%. This study aims to develop a simple risk model to predict the risk of in-hospital mortality for patients undergoing heart valve surgery to provide information to patients and clinicians and to facilitate institutional comparisons.