<b><i>Background:</i></b> Obesity surgery has proven successful for weight loss and the resolution of comorbidities. There is, however, little evidence on its success and the risk of complications when considering age of onset of obesity (AOO), years of obesity (YOO), preoperative body mass index (BMI), Edmonton obesity staging system (EOSS) score, and age as possible predictors of weight loss, the resolution of comorbidities, and the risk of complications. <b><i>Methods:</i></b> Patients who underwent Roux-en-Y gastric bypass (RYGB) and laparoscopic sleeve gastrectomy (LSG) from a prospective database were analyzed. Multiple regression analyses were used to predict comorbidities and their resolution, percentage excess weight loss (%EWL) and total weight loss (%TWL) 12 months after surgery, and the risk of complications using the predictors AOO, YOO, age, EOSS, and BMI. <b><i>Results:</i></b> 180 patients aged 46.8 ± 11.1 years with a preoperative BMI 49.5 ± 7.5 were included. The number of preoperative comorbidities was higher with older age (β = 0.054; <i>p</i> = 0.023) and a greater BMI (β = 0.040; <i>p</i> = 0.036) but was not related to AOO and YOO. Patients with AOO as a child or adolescent were more likely to have an EOSS score of ≥2. Greater preoperative BMI was negatively associated with %EWL (β = –1.236; <i>p</i> &#x3c; 0.001) and older age was negatively associated with %TWL (β = –0.344; <i>p</i> = 0.020). Postoperative complications were positively associated with EOSS score (odds ratio [OR] 1.147; <i>p</i> = 0.042) and BMI (OR 1.010; <i>p</i> = 0.020), but not with age. AOO and YOO were not related to postoperative outcome. <b><i>Conclusion:</i></b> Greater BMI was associated with a lower %EWL and age was associated with a low %TWL. YOO and AOO did not influence outcome. Age, BMI, and EOSS score were the most important predictors for risk and success after obesity surgery. Surgery should be performed early enough for optimal outcomes.

Robotic-assisted surgery requires skills distinct from conventional laparoscopy or open surgery. Basic robotic skills training prior to patient contact should be required.

Background: Minimally invasive pancreatic surgery (MIPS) has developed over the last 3 decades and is nowadays experiencing an increased interest from the surgical community. With increasing awareness of both the public and the surgical community on patient safety, optimization of training has gained importance. For implementation of MIPS we propose 3 training phases. The first phase focuses on developing basic skills and procedure specific skills with the help of simulation, biotissue drills, video libraries, live case observations, and training courses. The second phase consists of index procedures, fellowships, and proctoring programs to ensure patient safety during the first procedures. During the third phase the surgeons aim is to safely implement the procedure into standard practice while minimizing learning curve related excess morbidity and mortality. Case selection, skills assessment, feedback, and mentoring are important methods to optimize this phase. The residual learning curve can reach up to 100 cases depending on the surgeons’ previous experience, selection of cases, and definition of the parameters used to assess the learning curve. Adequate training and high procedural volume are key to implementing MIPS safely.