Robotic Roux-en-Y Gastric Bypass Procedure Guide

Pharmacotherapy as an Augmentation to Bariatric Surgery for Obesity

A global obesity pandemic is one of the most significant health threats worldwide owing to its close association with numerous comorbidities such as type 2 diabetes mellitus, arterial hypertension, dyslipidemia, heart failure, cancer and many others. Obesity and its comorbidities lead to a higher rate of cardiovascular complications, heart failure and increased cardiovascular and overall mortality. Bariatric surgery is at present the most potent therapy for obesity, inducing a significant weight loss in the majority of patients. In the long-term, a substantial proportion of patients after bariatric surgery experience a gradual weight regain that may, in some, reach up to a presurgical body weight. As a result, anti-obesity pharmacotherapy may be needed in some patients after bariatric surgery to prevent the weight regain or to further potentiate weight loss. This article provides an overview of the use of anti-obesity medications as an augmentation to bariatric surgery for obesity. Despite relatively limited published data, it can be concluded that anti-obesity medication can serve as an effective adjunct therapy to bariatric surgery to help boost post-bariatric weight loss or prevent weight regain.

Can robotic gastric bypass be considered a valid alternative to laparoscopy? Our early experience and literature review

Background

Robotic bariatric surgery serves as an alternative to laparoscopy. The technology provides the surgeon with an accurate three-dimensional view, allowing complex maneuvers while maintaining full control of the operating room.

Hypothesis

We report our experience with this innovative surgery compared with laparoscopy during Roux-en-Y gastric bypass to demonstrate its safety and feasibility. The aim of this study is to evaluate potential differences between the robotic and laparoscopic techniques.

Materials and methods

Our study retrospectively identified 153 consecutive obese patients who underwent either laparoscopic or robotic gastric bypass (RGB) procedures over a 2-year period at the Department of Medical and Surgical Sciences, University of Foggia. Data on demographics, operative time, conversion rate, length of hospital stay, and mortality were collected and compared between two groups of patients: 82 patients who underwent laparoscopic procedures and 71 who underwent robotic procedures.

Results

We analyzed 153 patients who underwent gastric bypass with a mean age of 42.58 years, of whom 74 were female; 71 were treated with a robotic approach and 82 with a laparoscopic approach. The mean operative time was 224.75 ± 10.4 min for RGB (including docking time) and 101.22 min for laparoscopic gastric bypass (LGB) (p < 0.05), which is statistically significant. The median length of stay was 4.1 days for the RGB group and 3.9 days for the LGB group (p = 0.89). There is only one conversion to laparoscopy in the RGB group. We observed only one case of postoperative complications, specifically one episode of endoluminal bleeding in the laparoscopic group, which was successfully managed with medical treatment. No mortality was observed in either group.

Conclusion

The statistical analysis shows to support the robotic approach that had a lower incidence of complications but a longer operative duration. Based on our experience, the laparoscopic approach remains a technique with more haptic feedback than the robotic approach, making surgeons feel more confident.This study has been registered on ClinicalTrial.gov Protocol Registration and Results System with this ID: NCT05746936 for the Organization UFoggia (https://clinicaltrials.gov/ct2/show/NCT05746936).

A cognitive task analysis of expert surgeons performing the robotic roux-en-y gastric bypass

BACKGROUND

The safe and effective performance of a robotic roux-en-y gastric bypass (RRNY) requires the application of a complex body of knowledge and skills. This qualitative study aims to: (1) define the tasks, subtasks, decision points, and pitfalls in a RRNY; (2) create a framework upon which training and objective evaluation of a RRNY can be based.

METHODS

Hierarchical and cognitive task analyses for a RRNY were performed using semi-structured interviews of expert bariatric surgeons to describe the thoughts and behaviors that exemplify optimal performance. Verbal data was recorded, transcribed verbatim, supplemented with literary and video resources, coded, and thematically analyzed.

RESULTS

A conceptual framework was synthesized based on three book chapters, three articles, eight online videos, nine field observations, and interviews of four subject matter experts (SME). At the time of the interview, SME had practiced a median of 12.5 years and had completed a median of 424 RRNY cases. They estimated the number of RRNY to achieve competence and expertise were 25 cases and 237.5 cases, respectively. After four rounds of inductive analysis, 83 subtasks, 75 potential errors, 60 technical tips, and 15 decision points were identified and categorized into eight major procedural steps (pre-procedure preparation, abdominal entry & port placement, gastric pouch creation, omega loop creation, gastrojejunal anastomosis, jejunojejunal anastomosis, closure of mesenteric defects, leak test & port closure). Nine cognitive behaviors were elucidated (respect for patient-specific factors, tactical modification, adherence to core surgical principles, task completion, judicious technique & instrument selection, visuospatial awareness, team-based communication, anticipation & forward planning, finessed tissue handling).

CONCLUSION

This study defines the key elements that formed the basis of a conceptual framework used by expert bariatric surgeons to perform the RRNY safely and effectively. This framework has the potential to serve as foundational tool for training novices.

Identifying Workflow Disruptions in Robotic-Assisted Bariatric Surgery: Elucidating Challenges Experienced by Surgical Teams

PURPOSE

Bariatric surgery is an effective and durable treatment for weight loss for patients with extreme obesity. Although traditionally approached laparoscopically, robotic bariatric surgery (RBS) has unique benefits for both surgeons and patients. Nonetheless, the technological complexity of robotic surgery presents new challenges for OR teams and the wider clinical system. Further assessment of the role of RBS in delivering quality care for patients with obesity is necessary and can be done through a human factors approach. This observational study sought to investigate the impact of RBS on the surgical work system via the study of flow disruptions (FDs), or deviations from the natural workflow progression.

MATERIALS AND METHODS

RBS procedures were observed between October 2019 and March 2022. FDs were recorded in real time and subsequently classified into one of nine work system categories. Coordination FDs were further classified into additional sub-categories.

RESULTS

Twenty-nine RBS procedures were observed at three sites. An average FD rate of 25.05 (CI =  ± 2.77) was observed overall. FDs were highest between insufflation and robot docking (M = 29.37, CI =  ± 4.01) and between patient closing and wheels out (M = 30.00, CI =  ± 6.03). FD rates due to coordination issues were highest overall, occurring once every 4 min during docking (M = 14.28, CI =  ± 3.11).

CONCLUSION

FDs occur roughly once every 2.4 min and happen most frequently during the final patient transfer and robot docking phases of RBS. Coordination challenges associated with waiting for staff/instruments not readily available and readjusting equipment contributed most to these disruptions.

An artificial intelligence model that automatically labels roux-en-Y gastric bypasses, a comparison to trained surgeon annotators

INTRODUCTION

Artificial intelligence (AI) can automate certain tasks to improve data collection. Models have been created to annotate the steps of Roux-en-Y Gastric Bypass (RYGB). However, model performance has not been compared with individual surgeon annotator performance. We developed a model that automatically labels RYGB steps and compares its performance to surgeons.

METHODS AND PROCEDURES

545 videos (17 surgeons) of laparoscopic RYGB procedures were collected. An annotation guide (12 steps, 52 tasks) was developed. Steps were annotated by 11 surgeons. Each video was annotated by two surgeons and a third reconciled the differences. A convolutional AI model was trained to identify steps and compared with manual annotation. For modeling, we used 390 videos for training, 95 for validation, and 60 for testing. The performance comparison between AI model versus manual annotation was performed using ANOVA (Analysis of Variance) in a subset of 60 testing videos. We assessed the performance of the model at each step and poor performance was defined (F1-score < 80%).

RESULTS

The convolutional model identified 12 steps in the RYGB architecture. Model performance varied at each step [F1 > 90% for 7, and > 80% for 2]. The reconciled manual annotation data (F1 > 80% for > 5 steps) performed better than trainee's (F1 > 80% for 2-5 steps for 4 annotators, and < 2 steps for 4 annotators). In testing subset, certain steps had low performance, indicating potential ambiguities in surgical landmarks. Additionally, some videos were easier to annotate than others, suggesting variability. After controlling for variability, the AI algorithm was comparable to the manual (p < 0.0001).

CONCLUSION

AI can be used to identify surgical landmarks in RYGB comparable to the manual process. AI was more accurate to recognize some landmarks more accurately than surgeons. This technology has the potential to improve surgical training by assessing the learning curves of surgeons at scale.

From surgery to endoscopy: the evolution of the bariatric discipline

ABSTRACT

Obesity, with its increasing morbidity and prevalence, is now a worldwide public health problem. Obesity and its related comorbidities impose a heavy burden on societal health and the economy. The practice of bariatric surgery has evolved from its early surgical procedures, many of which are no longer routine operations. With clinical practice, research, and experience, bariatric surgery has gradually become an important last resort for the control of weight and obesity-related metabolic diseases in moderately and severely obese patients. However, there is still room for further improvements in bariatric surgical procedures, especially with regard to long-term issues and complications. Endoscopic weight loss technology has developed rapidly in recent years. The advantages of this technology include minimal invasiveness, an obvious weight loss effect, and few complications, thus filling the gap between medications and lifestyle adjustments and surgical treatment of obesity. Endoscopic weight loss technology may even replace surgical bariatric procedures. This review summarized the current status of bariatric metabolic surgery and newly developed bariatric endoscopic procedures.

Surgical Treatment of Obesity. Special Mention to Roux-en-Y Gastric Bypass and Vertical Gastrectomy

INTRODUCTION

The prevalence of obesity has increased exponentially in recent decades, being one of the diseases that most affects global health. It is a chronic disease associated with multiple comorbidities, which lead to a decrease in life expectancy and quality of life. It requires a multidisciplinary approach by a specialized medical team. Obesity can be treated with conservative or with surgical treatments that will depend on the characteristics of the patient.

OBJECTIVE/METHODOLOGY

The referenced surgery can be performed using different surgical techniques that are analyzed in the present work through an exhaustive narrative bibliographic review in the PubMed and Cochrane databases, as well as in UpToDate.

RESULTS

Currently, those most used are restrictive techniques, specifically vertical gastrectomy and mixed techniques, with gastric bypass being the "gold standard".

CONCLUSIONS

In order to choose one technique or another, the characteristics of each patient and the experience of the surgical team must be taken into account.