Society: AGA

Background: Sound evidence support the effectiveness of the transoral outlet reduction (TORe) with full-thickness endoscopic suturing (FTS) or argon plasma coagulation (APC) alone to address post-RYGB weight regain. Although clinically effective, its effects on gut hormone dynamics and their relationship with weight loss and clinical success rates are still unknown, demanding an investigation.
Methods: This is a substudy of a previous randomized clinical trial. Adult patients with post-RYGB significant weight regain and dilated GJA underwent TORe with APC alone or APC plus FTS (FTS-APC). Serum levels of ghrelin, GLP-1, and PYY were measured at fasting, 30, 60, 90, and 120 minutes after a standardized liquid meal. We used the Student T-test to compare continuous variables and the analysis of variance for repeated measures to analyze and compare the variation of hormonal levels over time. A p-value<.05 was considered statistically significant for a 95% confidence interval.
Results: Thirty-six patients (19 APC vs. 17 FTS-APC) successfully underwent blood sampling at baseline and 12 months (90% follow-up rate). There was no significant baseline difference between patients according to allocation group, history of cholecystectomy, or clinical success (≥10%TWL at 12 months) – Table 1. In all analyses, the typical postprandial decrease in ghrelin levels was delayed by 30 minutes. Other than that, no significant changes in ghrelin levels were noted. GLP-1 levels significantly decreased at 12 months in both allocation groups. We noted similar findings when splitting the sample according to the history of cholecystectomy and clinical success. The APC group presented an increase in PYY levels at 90 minutes, while FTS-SPC did not. The area under the curve between 30-120 minutes significantly increased in the first group (p=0.02) but did not change in the latter (p=0.41). When splitting the sample according to the history of cholecystectomy, we noted that naïve patients had significantly lower PYY levels at baseline (p=0.01). Moreover, cholecystectomized patients experienced a significant increase in the AUC for PYY levels, while naïve patients did not, leading to a higher AUC at 12 months in the former group (p=0.0001). PYY levels and behavior over time were similar when comparing clinical success and failure cases. There was no significant association between the allocation group and the history of cholecystectomy (p=0.053), meaning that both variables independently influence the changes in PYY levels.
Conclusions: Our findings collectively suggest that APC-TORe triggers a more pronounced enteroendocrine response, especially in cholecystectomized patients. GLP-1 levels decrease after TORe, despite the technique employed. Opportunistically, prescribing GLP-1 analogs routinely seems reasonable to further enhance the hormonal response after TORe.

Figure 1 – Demographic characteristics according to allocation group, clinical success, and history of cholecystectomy.

Figure 1 – Demographic characteristics according to allocation group, clinical success, and history of cholecystectomy.

Figure 2 – Graphs showing behavior over time of Ghrelin, GLP-1, and PYY levels at baseline and at 12 months.

Figure 2 – Graphs showing behavior over time of Ghrelin, GLP-1, and PYY levels at baseline and at 12 months.

Background: Obesity and metabolic complications have reached epidemic proportions, contributing to significant social, financial, and healthcare burden. Bariatric surgery is very effective, safe and increasingly utilized to treat obesity. However, there is a paucity of literature describing use of anti-obesity medications (AOMs) following bariatric surgery. We aim to identify prevalence and trends of adjunct AOM use following bariatric surgery.

Materials and Methods: A population-based commercial database (IBM® Explorys® database, IBM, Armonk, NY) was utilized to identify all adult subjects who had undergone bariatric surgery (Roux-en-Y gastric bypass or sleeve gastrectomy). Those who were prescribed U.S. Food and Drug Administration approved AOMs (semaglutide, liraglutide, topiramate, phentermine/topiramate, naltrexone/bupropion, orlistat) within 5 years after surgery were further identified. Data was analyzed to characterize AOMs utilization among different age, demographic, and comorbid populations.

Results: 59,160 adults who had undergone bariatric surgery were included. Among the AOMs studied, prevalence was highest for topiramate (8%), followed by liraglutide (2.9%), phentermine/topiramate (1.03%), naltrexone/bupropion (0.95%) semaglutide (0.52%) and orlistat (0.17%). On univariable analysis, age distribution varied, with highest utilization (odds ratio; 95% confidence interval) among those age 35-39 years for topiramate (1.53; 1.39-1.69), 40-44 years for phentermine/topiramate (1.41; 1.12-1.76) and naltrexone/bupropion (1.35; 1.07-1.72), 45-49 years for semaglutide (1.36; 1.01-1.85), and 65-69 years for liraglutide (1.55; 1.35-1.78) and orlistat (2.25; 1.38-3.67). African American race was associated with higher utilization among all AOMs. Among comorbidities, components of metabolic syndrome (obesity, hypertension, hyperlipidemia, diabetes mellitus) were most associated with higher likelihood of being prescribed AOMs.

Conclusion: AOMs are underutilized following bariatric surgery. It is pertinent to recognize that, while bariatric surgery is often pursued after failed attempts at medical weight loss, obesity is a chronic relapsing disease and AOMs should continue to be considered following surgery and may offer more successful and sustainable weight loss when used in conjunction.

Background
Bariatric surgery procedures (ie sleeve gastrectomy (SG) and laparoscopic adjustable gastric banding (LABG)) are reserved for patients with class III obesity/class II obesity with a comorbidity. Recently, there has been an interest in utilizing surgery in all patients with class I/II obesity regardless of comorbidity. Additionally, a significant number of eligible patients are not interested in undergoing surgery. Endoscopic sleeve gastroplasty (ESG) can be an alternative weight loss tool but lacks reimbursement. Our objective was to model scenarios of different initial class of obesity, to measure the cost-effectiveness of lifestyle intervention (LI), SG, LAGB, and ESG from a healthcare perspective.

Methods
We constructed a decision-analytic Markov model of a cohort of 30-year-old patients with different initial class of obesity without specific comorbidity: class III (BMI 42), class II (BMI 37), and class I (BMI 34). The cost-effectiveness of LI, SG, LAGB, and ESG was directly compared. We used a 30-year time horizon and 1-year cycle length. (Figure 1) Annual costs and disutility were added to each weight-based health state to account for obesity-related conditions. Outcome measures were reported in incremental cost-effectiveness ratios (ICERs), with a willingness-to-pay threshold of $100,000/quality-adjusted life-year (QALY).

Results
In a patient with class III obesity, all strategies dominated (more effective and less costly) when compared to LI. ESG and SG were dominant when compared to LAGB. SG was the cost-effective strategy compared to ESG (ICER $28,923/QALY, Figure 2a) SG remained cost-effective at the WTP threshold if it cost less than $45,476. In a patient with class II obesity, all strategies were cost-effective compared to LI. SG was the dominant strategy, with a lower total cost of $5,873 and improved effectiveness of 0.68 QALYs. (Figure 2b) In a patient with class I obesity, ESG was the dominant strategy, with a lower total cost of $12,896 and improved effectiveness of 0.05 QALY. ESG remained cost-effective at the WTP if it cost less than $29,420. (Figure 2c) National projections of overall cost showed if only SG is utilized, this resulted in a total cost of $626.5 billion for class I obesity patients and a cost savings of $62.3 billion for class III obesity patients. If only ESG is utilized, this resulted in a total cost of $147.1 billion for class I obesity patients, and a cost savings of $142.9 billion for class III obesity patients. (Figure 2d)

Conclusions
In patients with class I obesity, ESG was the cost-effective intervention compared to SG, LAGB and LI. In class II and III obesity, SG was the cost-effective intervention. However, in patients unwilling to undergo SG, then ESG was the cost-effective intervention. This suggests supporting ESG reimbursement to reduce costs and improve the obesity epidemic outcomes

Model diagram demonstrating weight loss intervention options and health states

Model diagram demonstrating weight loss intervention options and health states

Figure 2a: Cost effectiveness acceptability curve for a patient with intial class 3 obesity (BMI 42)<br /> Figure 2b: Cost effectiveness acceptability curve for a patient with initial class 2 obesity (BMI 37)<br /> Figure 2c: Cost effectiveness acceptability curve for a patient with initial class 1 obesity (BMI 34)<br /> Figure 2d: National projections of direct health care expenditures by procedure

Figure 2a: Cost effectiveness acceptability curve for a patient with intial class 3 obesity (BMI 42)
Figure 2b: Cost effectiveness acceptability curve for a patient with initial class 2 obesity (BMI 37)
Figure 2c: Cost effectiveness acceptability curve for a patient with initial class 1 obesity (BMI 34)
Figure 2d: National projections of direct health care expenditures by procedure

Monica Saumoy

University of Pennsylvania

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