Objective: The aim of this study was to examine real-life patterns of care and patient outcomes associated with robot-assisted cholecystectomy (RAC) in New York State (NYS). Background: Although robotic assistance may offer some technological advantages, RACs are associated with higher procedural costs and longer operating times compared to traditional laparoscopic cholecystectomies (LCs). Evidence on long-term patient outcomes after RAC from large population-based datasets remains limited and inconsistent. Methods: Using NYS inpatient and ambulatory surgery data from the Statewide Planning and Research Cooperative System (2009–2017), we conducted bivariate and multivariate analyses to examine patterns of utilization, complications, and secondary procedures following cholecystectomies. Results: Among 299,306 minimally invasive cholecystectomies performed in NYS between 2009 and 2017, one thousand one hundred eighteen (0.4%) were robot-assisted. Compared to those undergoing LC, RAC patients were older, travelled further for surgery, and were more likely to have public insurance and preoperative comorbidities. RAC versus LC patients were more significantly likely to have conversions to open procedure (4.9% vs 2.8%), bile duct injuries (1.3% vs 0.4%), and major reconstructive interventions (0.6% vs 0.1%), longer median length of stay (3 vs 1 day), readmissions (7.3% vs 4.4%), and higher 12-month post-index surgery hospital charges (P < 0.01 for all estimates). Other postoperative complications decreased over time for LC but remained unchanged for RAC patients. Conclusions: Patients receiving RAC in NYS experienced higher rates of complications compared to LC patients. Addressing patient-, surgeon-, and system-level factors associated with intra/postoperative complications and applying recently promulgated safe cholecystectomy strategies coupled with advanced imaging modalities like fluorescence cholangiography to RAC may improve patient outcomes.

It is predicted that by 2030, globally, an estimated 2.16 billion adults will be overweight, and 1.12 billion will be obese. This study examined genetic data regarding Reward Deficiency Syndrome (RDS) to evaluate their usefulness in counselling patients undergoing bariatric surgery and gathered preliminary data on the potential use in predicting short term (6-month) weight loss outcomes. Methods: Patients undergoing bariatric surgery (n = 34) were examined for Genetic Addiction Risk Severity (GARS) [measures the presence of risk alleles associated with RDS]; as well as their psychosocial traits (questionnaires). BMI changes and sociodemographic data were abstracted from Electronic Health Records. Results: Subjects showed ∆BMI (M = 10.0 ± 1.05 kg/m²) and a mean % excess weight loss (56 ± 13.8%). In addition, 76% of subjects had GARS scores above seven. The homozygote risk alleles for MAO (rs768062321) and DRD1 (rs4532) showed a 38% and 47% prevalence among the subjects. Of the 11 risk alleles identified by GARS, the DRD4 risk allele (rs1800955), was significantly correlated with change in weight and BMI six months post-surgery. We identified correlations with individual risk alleles and psychosocial trait scores. The COMT risk allele (rs4680) showed a negative correlation with EEI scores (r = −0.4983, p < 0.05) and PSQI scores (r = −0.5482, p < 0.05). The GABRB3 risk allele (rs764926719) correlated positively with EEI (r = 0.6161, p < 0.01) and FCQ scores (r = 0.6373, p < 0.01). The OPRM1 risk allele showed a positive correlation with the DERS score (r = 0.5228, p < 0.05). We also identified correlations between DERS and BMI change (r = 0.61; p < 0.01). Conclusions: These data support the potential benefit of a personalized medicinal approach inclusive of genetic testing and psychosocial trait questionnaires when counselling patients with obesity considering bariatric surgery. Future research will explore epigenetic factors that contribute to outcomes of bariatric surgery.

This study analyzed genetic risk assessments in patients undergoing bariatric surgery to serve as a predictive factor for weight loss parameters 1 year after the operation. Thirty (30) patients were assessed for Genetic Addiction Risk Severity (GARS), which analyzes neurogenetic polymorphisms involved in addiction and reward deficiency. Genetic and psychosocial data collected before the operation were correlated with weight loss data, including changes in weight, body mass index (BMI), and percent of expected weight loss (%EWL). Results examined correlations between individual gene risk alleles, 1-year body weight data, and psychosocial trait scores. Spearman’s correlations revealed that the OPRM1 (rs1799971) gene polymorphism had significant negative correlation with 1-year weight (r_s = −0.4477, p < 0.01) and BMI (r_s = −0.4477, p < 0.05). In addition, the DRD2 risk allele (rs1800497) was correlated negatively with BMI at 1 year (r_s = −0.4927, p < 0.05), indicating that one risk allele copy was associated with lower BMI. However, this allele was positively correlated with both ∆Weight (r_s = 0.4077, p < 0.05) and %EWL (r_s = 0.5521, p < 0.05) at 1 year post-surgery. Moreover, the overall GARS score was correlated with %EWL (r_s = 0.4236, p < 0.05), ∆Weight (r_s = 0.3971, p < 0.05) and ∆BMI (r_s = 0.3778, p < 0.05). Lastly, Food Cravings Questionnaire (FCQ) scores were negatively correlated with %EWL (r_s = −0.4320, p < 0.05) and ∆Weight at 1 year post-surgery (r_s = −0.4294, p < 0.05). This suggests that individuals with a higher genetic addiction risk are more responsive to weight loss treatment, especially in the case of the DRD2 polymorphism. These results should translate clinically to improve positivity and attitude related to weight management by those individuals born with the risk alleles (rs1800497; rs1799971).