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ObjectiveThe introduction of endovascular procedures has revolutionized the management of complex aortic aneurysms. Although repair has traditionally required longer operative times and increased radiation exposure compared with simple endovascular aneurysm repair, the recent introduction of three-dimensional technology has become an invaluable operative adjunct. Surgical augmented intelligence (AI) is a rapidly evolving tool initiated at our institution in June 2019. In our study, we sought to determine whether this technology improved patient and operator safety.MethodsA retrospective review of patients who had undergone endovascular repair of complex aortic aneurysms (pararenal, juxtarenal, or thoracoabdominal), type B dissection, or infrarenal (endoleak, coil placement, or renal angiography with or without intervention) at a tertiary care center from August 2015 to November 2021 was performed. Patients were stratified according to the findings from intelligent maps, which are patient-specific AI tools used in the operating room in conjunction with real-time fluoroscopic images. The primary outcomes included operative time, radiation exposure, fluoroscopy time, and contrast use. The secondary outcomes included 30-day postoperative complications and long-term follow-up. Linear regression models were used to evaluate the association between AI use and the main outcomes.ResultsDuring the 6-year period, 116 patients were included in the present study, with no significant differences in the baseline characteristics. Of the 116 patients, 76 (65.5%) had undergone procedures using AI and 40 (34.5%) had undergone procedures without AI software. The intraoperative outcomes revealed a significant decrease in radiation exposure (AI group, 1955 mGy; vs non-AI group, 3755 mGy; P = .004), a significant decrease in the fluoroscopy time (AI group, 55.6 minutes; vs non-AI group, 86.9 minutes; P = .007), a decrease in the operative time (AI group, 255 minutes; vs non-AI group, 284 minutes; P = .294), and a significant decrease in contrast use (AI group, 123 mL; vs non-AI group, 199 mL; P

BackgroundThe coronavirus pandemic has caused a worldwide health crisis. Bariatric patients require extensive pre- and post-operative follow-up, which may be less feasible during public health social distancing mandates. We assessed the impact of the pandemic on the behaviors and weight loss outcomes of our pre- and post-operative bariatric patients.MethodsA retrospective review of a prospectively maintained database identified patients who underwent either sleeve gastrectomy (SG) or Roux-en-Y gastric bypass (RYGB) at a single institution between March 2018 and May 2020. A cohort undergoing surgery within 12 months before the pandemic as well as a cohort undergoing a medically supervised diet prior to surgery was surveyed regarding pre- and post-COVID-19 lifestyle habits. Excess weight loss (EWL) outcomes from a group of pre-COVID surgical patients were compared to that of a group of post-COVID surgical patients. Primary outcome was whether the lockdown changed 1-year weight loss outcomes. Secondary outcome was whether patient lifestyle behaviors were changed during the pandemic.ResultsThere was no difference in 1-year EWL between pre- and post-COVID SG patients (51.7% versus 55.9%, p = 0.35), or between pre- and post-COVID RYGB patients (88.9% versus 80.4%, p = 0.42). Pre-stay-at-home order, 91.8% endorsed physical activity compared to 80.3% post-stay-at-home order (p = 0.0025). Mean physical activity decreased from 4.2 h/week to 2.7 h/week after the stay-at-home order (p

BackgroundEarly experience with indocyanine green-based fluorescent cholangiography during laparoscopic cholecystectomy suggests the potential to improve outcomes. However, the cost-effectiveness of routine use has not been studied. Our objective was to evaluate the cost-effectiveness of fluorescent cholangiography versus standard bright light laparoscopic cholecystectomy for noncancerous gallbladder disease.MethodsA Markov model decision analysis was performed comparing fluorescent cholangiography versus standard bright light laparoscopic cholecystectomy alone. Probabilities of outcomes, survival, toxicities, quality-adjusted life-years, and associated costs were determined from literature review and pooled analysis of currently available studies on fluorescent cholangiography (n = 37). Uncertainty in the model parameters was evaluated with 1-way and probabilistic sensitivity analyses, varying parameters up to 40% of their means. Cost-effectiveness was measured with an incremental cost-effectiveness ratio expressed as the dollar amount per quality-adjusted life-year.ResultsThe model predicted that fluorescent cholangiography reduces lifetime costs by $1,235 per patient and improves effectiveness by 0.09 quality-adjusted life-years compared to standard bright light laparoscopic cholecystectomy. Reduced costs were due to a decreased operative duration (21.20 minutes, P < .0001) and rate of conversion to open (1.62% vs 6.70%, P < .0001) associated with fluorescent cholangiography. The model was not influenced by the rate of bile duct injury. Probabilistic sensitivity analysis found that fluorescent cholangiography was both more effective and less costly in 98.83% of model iterations at a willingness-to-pay threshold of $100,000/quality-adjusted life year.ConclusionThe current evidence favors routine use of fluorescent cholangiography during laparoscopic cholecystectomy as a cost-effective surgical strategy. Our model predicts that fluorescent cholangiography reduces costs while improving health outcomes, suggesting fluorescence imaging may be considered standard surgical management for noncancerous gallbladder disease. Further study with prospective trials should be considered to verify findings of this predictive model.

BackgroundThe use of the surgical robot has increased annually since its introduction, especially in general surgery. Despite the tremendous increase in utilization, there are currently no validated curricula to train residents in robotic surgery, and the effects of robotic surgery on general surgery residency training are not well defined. In this study, we aim to explore the perceptions of resident and attending surgeons toward robotic surgery education in general surgery residency training.MethodsWe performed a qualitative thematic analysis of in-person, one-on-one, semi-structured interviews with general surgery residents and attending surgeons at a large academic health system. Convenient and purposeful sampling was performed in order to ensure diverse demographics, experiences, and opinions were represented. Data were analyzed continuously, and interviews were conducted until thematic saturation was reached, which occurred after 20 residents and seven attendings.ResultsAll interviewees agreed that dual consoles are necessary to maximize the teaching potential of the robotic platform, and the importance of simulation and simulators in robotic surgery education is paramount. However, further work to ensure proper access to simulation resources for residents is necessary. While most recognize that bedside-assist skills are essential, most think its educational value plateaus quickly. Lastly, residents believe that earlier exposure to robotic surgery is necessary and that almost every case has a portion that is level-appropriate for residents to perform on the robot.ConclusionsAs robotic surgery transitions from novelty to ubiquity, the importance of effective general surgery robotic surgery training during residency is paramount. Through in-depth interviews, this study provides examples of effective educational tools and techniques, highlights the importance of simulation, and explores opinions regarding the role of the resident in robotic surgery education. We hope the insights gained from this study can be used to develop and/or refine robotic surgery curricula.

ObjectiveTo determine barriers associated with the transition from bedside assistant to console surgeon for general surgery residents in the era of robotic surgery in general surgery training.DesignQualitative thematic analysis using one-on-one interviews of general surgery residents and attendings conducted between June 2018 and February 2019.SettingAn urban, academic, multihospital general surgery residency program with a robust robotic surgery program.ParticipantsConvenient and purposeful sampling was performed to ensure a variety of resident graduate-years and attending subspecialties were represented. Sample size was determined by data saturation, which occurred after 20 resident and 7 attending interviews.ResultsResidents identified the low volume of general surgery robotic cases, the infrequency of exposure to robotic surgery, and attending comfort with robotic surgery (and with teaching on the robot) as potential barriers in the transition from bedside assistant to console surgeon. Residents had to find a replacement bedside assistant in order to be the console surgeon, which was challenging. In addition, residents felt that the current culture surrounding robotic surgery is very hierarchal, limiting their exposure. Attendings' trust in the residents' console skills was a major determining factor in allowing residents on the console.ConclusionsMost robotic surgery education curricula are sequential, requiring the resident to progress from bedside assistant to console surgeon. Unfortunately, there are many potential barriers for residents in the transition from bedside assistant to console surgeon. Some barriers apply to general surgery training overall, but are amplified in robotic surgery, while others are unique to robotic surgery education. Recognition of, and rectifying, these barriers may increase resident participation as the console surgeon.

Background and Aim: Gastric cancer is a health concern and contributes to cancer‐related deaths. Gastric intestinal metaplasia (GIM) is a premalignant lesion of gastric cancer. Currently, factors associated with GIM regression are under‐investigated. This study aims to assess the rate of GIM regression and identify factors associated with it. Methods: This study was conducted at Medstar Washington Hospital Center. We included patients who had GIM between January 2015 and December 2020. Population was divided into GIM persistence or regression. Data included demographics, esophagogastroduodenoscopy findings, Helicobacter pylori status, and laboratory results. Statistical analyses included Kaplan–Meier and Cox proportional models to explore predictors of GIM regression. Results: Among 2375 patients, 9.1% had GIM. Notably, 85 patients had GIM regression and 132 patients had persistent GIM. African Americans constituted (75%) of the regression group and (76%) of the persistence group. Peptic ulcer disease (PUD) was noted in 12.9% of the regression group at baseline, and 5.9% at follow‐up; the persistence group showed 11.4% at baseline and 5.3% at follow‐up (P = 0.89). Regression analysis revealed that the presence of PUD was associated with a higher rate of regression (hazard ratio [HR] 2.46, P = 0.013). Smoking status showed lower rates of regression (HR 0.54 and 0.62, P = 0.038 and 0.169). On gastric mapping, African Americans, Hispanics, and individuals of other races/ethnicities displayed lower rates of GIM regression (HR 0.68, 0.78 and 0.69). Conclusion: PUD was associated with a higher rate of GIM regression, while smoking showed lower regression rates. Results provide insights into factors influencing GIM regression in African American population and may inform future surveillance and treatment strategies. [ABSTRACT FROM AUTHOR]