Association Between Food Intake and Gastrointestinal Symptoms in Patients With Obesity

The association between previous use of anti-obesity medication and semaglutide weight loss outcomes

AIMS

To compare weight loss outcomes between patients starting semaglutide who had previously been on another anti-obesity medication (AOM) compared to those who were AOM-naïve.

MATERIALS AND METHODS

We performed a retrospective study in patients with overweight or obesity taking semaglutide for weight loss for a duration of 3 to 12 months. Our primary endpoint was assessment of percentage of total body weight loss (TBWL) in patients who started semaglutide as their first AOM (AOM-naïve) compared to those who started semaglutide and had previously taken another AOM (non-AOM-naïve). The secondary outcome was a comparison of the proportions of patients achieving ≥5%, ≥10%, ≥15% and ≥20% TBWL between the groups. Our endpoints were analysed using independent t-tests and ANOVA/ANCOVA for continuous variables and Pearson's test for categorical variables.

RESULTS

This study included 305 patients. Outcomes of semaglutide treatment were superior in AOM-naïve patients (n = 231) compared to non-AOM-naïve patients (n = 74) at 3 (6.3% vs. 3.8%), 6 (10.6% vs. 6.7%), 9 (14.0% vs. 9.1%) and 12 months (14.3% vs. 10.6%; p < 0.0001 at 3, 6 and 9 months, and p = 0.01 at 12 months). A greater proportion of patients in the AOM-naïve group achieved a TBWL ≥ 15% (48% vs 21%; p = 0.02) and ≥20% (27% vs 4% p < 0.01) at 12 months.

CONCLUSION

The use of semaglutide in patients with previous intake of other AOMs was associated with inferior weight loss outcomes in comparison to patients who were AOM-naïve.

Cumulative effect of obesity phenotypes on body weight and body mass index

BACKGROUND

Obesity originates from an imbalance between energy intake and expenditure. Changes in energy intake components (satiation, postprandial satiety, emotional eating) and energy expenditure have been linked to obesity and are referred to as obesity phenotypes. We aim to study if these obesity phenotypes have a cumulative effect on body weight and body mass index (BMI).

SUBJECT/METHODS

This is a cross-sectional study of adult patients with obesity (BMI > 30 kg/m2) who completed the validated tests to measure the obesity phenotypes. A total of 464 were included in this study.

INTERVENTIONS/METHODS

We defined higher calories to fullness during an ad libitum meal as abnormal satiation, accelerated time to half gastric emptying with scintigraphy as abnormal postprandial satiety, higher anxiety score on the Hospital Anxiety and Depression Scale as hedonic eating behavior, and decreased percentage of measured resting energy expenditure as abnormal energy expenditure. The primary analysis was done on the number of phenotypes ( ≤ 1 and ≥ 2) with body weight and BMI using an independent t-test.

RESULTS

Our cohort included 464 patients (mean [SD] age 42.0 [10.9] years, 79% females, weight 111.2 [22.9] kg, BMI 38.9 [7.0] kg/m2). There were 294 patients who had ≤ 1 phenotype, and 170 patients with ≥ 2 phenotypes with no baseline demographical differences (i.e., age and sex). Having ≥ 2 phenotypes was associated with higher body weight (115 [25] kg vs. 109 [21] kg; p = 0.004), BMI (40 [8] kg/m2 vs. 38 [7] kg/m2; p = 0.02) and waist (118 [15] cm vs. 115 [13] cm; p = 0.04) and hip (129 [14] cm vs. 125 [13] cm; p = 0.01) circumferences compared to ≤ 1 phenotype.

CONCLUSION

Obesity phenotypes are associated with an additive effect on the body weight and BMI. Patients who have multiple obesity phenotypes may require a more aggressive approach to enhance weight loss.

Type-2 diabetes mellitus remission prediction models after Roux-En-Y gastric bypass and sleeve gastrectomy based on disease severity scores

AIM

Metabolic and bariatric surgery (MBS) is considered one of the most effective interventions for weight loss and associated type-2 diabetes mellitus (T2DM) remission. Multiple scores including the Individualized Metabolic Surgery (IMS), DiaRem, advanced DiaRem, and Robert et al. scores, have been developed predict T2DM remission after MBS. We aim to validate each of these scores in our cohort of patients undergoing MBS with long-term follow-up and assess their efficacy based on procedure type and preoperative BMI.

METHODS

We conducted a multicenter cohort study including patients with T2DM undergoing either Roux-en-Y gastric bypass (RYGB) or sleeve gastrectomy (SG). Areas under the receiver operating characteristics (ROC) curve (AUC) were calculated to assess the discriminatory ability of the four models to detect T2DM remission.

RESULTS

A total of 503 patients (67 % females, mean age 53.5 [11] years, BMI 46.2 [8.8] kg/m2) with T2DM were included. The majority (78 %) underwent RYGB, while the rest (28 %) had SG. All four scores predicted T2DM remission in our cohort with an ROC AUC of 0.79 for IMS, 0.78 for both DiaRem and advanced-DiaRem, and 0.75 for Robert et al. score. Specific subgroups for each of these scores demonstrated higher T2DM remission rates after RYGB compared to SG.

CONCLUSION

We demonstrate the ability of the IMS, DiaRem, advanced-DiaRem and Robert et al. scores to predict T2DM remission in patients undergoing MBS. T2DM remission rates was demonstrated to decrease with more severe IMS, DiaRem and advanced-DiaRem scores and lower Robert et al. scores.