The effects of provider-prescribed obesogenic drugs on post-laparoscopic sleeve gastrectomy outcomes: a retrospective cohort study

Association Between a National Behavioral Weight Management Program and Veterans Affairs Health Expenditures

OBJECTIVE

The association between participation in a behavioral weight intervention and health expenditures has not been well characterized. We compared Veterans Affairs (VA) expenditures of individuals participating in MOVE!, a VA behavioral weight loss program, and matched comparators 2 years before and 2 years after MOVE! initiation.

METHODS

Retrospective cohort study of Veterans who had one or more MOVE! visits in 2008-2017 who were matched contemporaneously to up to 3 comparators with overweight or obesity through sequential stratification on an array of patient characteristics, including sex. Baseline patient characteristics were compared between the two cohorts through standardized mean differences. VA expenditures in the 2 years before MOVE! initiation and 2 years after initiation were modeled using generalized estimating equations with a log link and distribution with variance proportional to the standard deviation (gamma).

RESULTS

MOVE! participants (n=499,696) and comparators (n=1,336,172) were well-matched, with an average age of 56, average body mass index of 35, and similar total VA expenditures in the fiscal year before MOVE! initiation ($9662 for MOVE! participants and $10,072 for comparators, standardized mean difference=-0.019). MOVE! participants had total expenditures that were statistically lower than matched comparators in the 6 months after initiation but modestly higher in the 6 months to 2 years after initiation, though differences were small in magnitude (1.0%-1.6% differences).

CONCLUSIONS

The VA's system-wide behavioral weight intervention did not realize meaningful short-term health care cost savings for participants.

Real World Use of Anti-Obesity Medications and Weight Change in Veterans

BACKGROUND

Anti-obesity medications (AOMs) can be initiated in conjunction with participation in the VA national behavioral weight management program, MOVE!, to help achieve clinically meaningful weight loss.

OBJECTIVE

To compare weight change between Veterans who used AOM + MOVE! versus MOVE! alone and examine AOM use, duration, and characteristics associated with longer duration of use.

DESIGN

Retrospective cohort study using VA electronic health records.

PARTICIPANTS

Veterans with overweight or obesity who participated in MOVE! from 2008-2017.

MAIN MEASURES

Weight change from baseline was estimated using marginal structural models up to 24 months after MOVE! initiation. The probability of longer duration of AOM use (≥ 180 days) was estimated via a generalized linear mixed model.

RESULTS

Among MOVE! participants, 8,517 (1.6%) used an AOM within 24 months after MOVE! initiation with a median of 90 days of cumulative supply. AOM + MOVE! users achieved greater weight loss than MOVE! alone users at 6 (3.2% vs. 1.6%, p < 0.001), 12 (3.4% vs. 1.4%, p < 0.001), and 24 months (2.7% vs. 1.5%, p < 0.001), and had a greater probability of achieving ≥ 5% weight loss at 6 (38.8% vs. 26.0%, p < 0.001), 12 (43.1% vs. 28.4%, p < 0.001), and 24 months (40.4% vs. 33.3%, p < 0.001). Veterans were more likely to have ≥ 180 days of supply if they were older, exempt from medication copays, used other medications with significant weight-gain, significant weight-loss, or modest weight-loss side effects, or resided in the West North Central or Pacific regions. Veterans were less likely to have ≥ 180 days of AOM supply if they had diabetes or initiated MOVE! later in the study period.

CONCLUSIONS

AOM use following MOVE! initiation was uncommon, and exposure was time-limited. AOM + MOVE! was associated with a higher probability of achieving clinically significant weight loss than MOVE! alone.

Weight loss outcomes are not compromised in bariatric patients using cannabis

BACKGROUND

The legalization of cannabis in several states has led to increased documented use in the population. Bariatric surgery patients are no exception with estimates of anywhere from 6 to 8%. Cannabis is known to be associated with increased appetite, mood disorders, hyperphagia, and rarely, hyperemesis, which can potentially affect post-surgical weight loss. We aim to study the differences in bariatric surgery outcomes between cannabis users and non-users.

METHODS

A retrospective review identified patients undergoing bariatric surgery. Patients were divided into two groups, cannabis users (CU) and non-cannabis users (non-CU). Cannabis users (defined as using at least once weekly) and a group of non-users were called to obtain additional information. Primary outcome was weight loss. Secondary outcomes included incidence of post-operative nausea and vomiting (PONV), length of stay (LOS), readmission, and need for additional intervention.

RESULTS

A cohort of 364 sleeve gastrectomy patients met inclusion criteria, 31 (8.5%) CU and 333 (91.5%) non-CU. There was no difference in EWL between CU and non-CU at 1 week, 1 month, 3 months, 6 months, 9 months, 1 year, and 2 years. However, the CU group trended towards greater EWL at 3 years (52.9% vs. 38.1%, p = 0.094) and at 5 years (49.8% vs. 32.7%, p = 0.068). There were no significant differences between CU and non-CU with respect to either incidence or severity of PONV at one year after surgery or longer follow-up.

CONCLUSION

Cannabis users did not experience inferior weight loss after bariatric surgery despite common assumptions that appetite stimulation can lead to suboptimal weight loss outcomes. Our findings add to other work challenging this dogma. Larger, long-term, multicenter studies are warranted.

Drug dosing in children with obesity: a narrative updated review

Childhood obesity and its associated comorbidities are highly prevalent diseases that may add to any other possible health problem commonly affecting the pediatric age. Uncertainties may arise concerning drug dosing when children with obesity need pharmacologic therapies. In general, in pediatric practice, there is a tendency to adapt drug doses to a child's total body weight. However, this method does not consider the pharmacological impact that a specific drug can have under a two-fold point of view, that is, across various age and size groups as well. Moreover, there is a need for a therapeutic approach, as much as possible tailored considering relevant interacting aspects, such as modification in metabolomic profile, drug pharmacokinetics and pharmacodynamics. Taking into account the peculiar differences between children with overweight/obesity and those who are normal weight, the drug dosage in the case of obesity, cannot be empirically determined solely by the per kg criterion. In this narrative review, we examine the pros and cons of several drug dosing methods used when dealing with children who are affected also by obesity, focusing on specific aspects of some of the drugs most frequently prescribed in real-world practice by general pediatricians and pediatric subspecialists.

Socioeconomic status and use of obesogenic and anti-obesity medications in the United States: A population-based study

Background

The Endocrine Society Clinical Practice Guidelines recommend the avoidance of medications that may cause weight gain (i.e., obesogenic medications) in individuals with overweight or obesity. Obesity disproportionately affects people with lower socioeconomic status (SES); however, it is unknown whether the use of obesogenic medications differs by SES.

Methods

We included adults with overweight or obesity and used prescription medications from 2009-2018 of the US National Health and Nutrition Examination Survey. We examined the associations between a composite measure of SES and use of obesogenic medications and anti-obesity medications. The composite SES included <high school education (1 point), household income below federal poverty level (1 point), no insurance (2 points), and public health insurance only (1 point). We defined 3 composite SES groups (0 [high], 1 [intermediate], and ≥2 points [low]).

Findings

Among 10,673 US adults with overweight or obesity, 20.0% had low SES. Use of obesogenic medications was common (37.7%). Low (vs. high) SES was associated with greater obesogenic medication use, independent of demographic characteristics, prescription medication burden, and comorbidities (OR 1.3 [1.2-1.5]). Among 12,133 eligible participants, utilization of anti-obesity medications was very low overall (0.5%) and within all SES groups (low 0.27%, intermediate 0.71, and high 0.65%).

Interpretation

Our findings highlight common and modifiable risk factors for obesity. Clinicians should screen patient medications for those that may cause weight gain and increase adoption of anti-obesity medications, especially among adults living in low SES.

Funding

The National Institute of Diabetes and Digestive and Kidney Disease (R01DK115534, K24HL155861, and K01DK121825).

Use of prescription medications associated with weight gain among US adults, 1999-2018: A nationally representative survey

OBJECTIVE

This study aimed to evaluate trends in the use of obesogenic medications among adults.

METHODS

Cross-sectional data on adults aged ≥20 years are from the 1999 to 2018 National Health and Nutrition Examination Survey (n = 52,340). Obesogenic medications were defined according to the 2015 Endocrine Society guidelines on the pharmacological management of obesity. Weight status was categorized according to BMI. Trends in prior 30-day use were evaluated.

RESULTS

In NHANES 2017-2018, 20.3% of US adults used an obesogenic medication. Beta-blockers (9.8%) and antidiabetics (5.7%) were the most common; antipsychotics (1.0%) were the least common. Most common indications were disorders of glucose metabolism, hypertension, neuralgia or neuritis, heart disease, and musculoskeletal pain and/or inflammation. From 1999 to 2018, the proportional use of obesogenic medications increased for anticonvulsants (34.4% to 55.0%) but decreased for antidepressants (32.1% to 18.8%), antidiabetics (82.9% to 52.5%), and beta-blockers (83.9% to 80.7%). The proportional use of obesogenic medications was not associated with weight status, except for antipsychotics.

CONCLUSIONS

Use of obesogenic medications was common. Differences in the proportional use of obesogenic medication may reflect changing availability of obesogenic versus nonobesogenic medications over time. The decision to prescribe a nonobesogenic alternative, if one exists, is guided by weighing the risks and benefits of available treatments.

Effect of Obesogenic Medication on Weight- and Fitness-Change Outcomes: Evidence from the Look AHEAD Study

OBJECTIVE

This study evaluates whether obesogenic medications may decrease the effectiveness of lifestyle interventions. The authors of this study hypothesized that participants who took obesogenic medications would be less responsive to the intervention in the Look AHEAD trial.

METHODS

In the trial, 5,145 participants with overweight or obesity, aged 45 to 76 years with type 2 diabetes, were randomly assigned to an intervention (vs. support and education). In this analysis, the association of exposure to obesogenic medications and successful weight loss (≥5% and ≥10% of total weight) and fitness gain (≥1 and ≥2 metabolic equivalents) was examined. For each outcome, multiple logistic regression models were fitted.

RESULTS

Analytic sample sizes were 4,496 for weight-change analyses and 4,051 for fitness-change analyses. After adjusting for covariates, exposure to one or more obesogenic medications significantly decreased the odds of achieving ≥5% weight loss by 32% (odds ratio [OR] 0.68) and achieving ≥10% weight loss by 19% (OR 0.81). The association was dose-dependent-participants using two or more medications were less likely to achieve weight loss than those using one medication. Obesogenic medication exposure was not associated with decreased odds of achieving fitness gain overall.

CONCLUSIONS

The results suggest that exposure to obesogenic medications could hinder successful weight loss in a lifestyle intervention for people with diabetes.

Management of inadequate weight loss or weight regain in post-bariatric surgical patients

Nurse practitioners play a key role in the front-line treatment of obesity in primary care practice settings. National guidelines for the management of obesity are provided by a majority of national organizations, yet little guidance is provided for the management of post-bariatric surgical patients who experience inadequate weight loss or early weight regain. As the number of surgical procedures increases, guidelines and interventions for managing this complex outcome are needed.

Effect of Obesogenic Medications on Weight-Loss Outcomes in a Behavioral Weight-Management Program

OBJECTIVE

This study aimed to evaluate a possible association between the use of obesogenic medications and inadequate weight loss in a behavioral weight-management program.

METHODS

This is a case-control, single-center study of 666 adult patients within a Veterans Health Administration health system who participated in the MOVE! behavioral weight-loss program. The cohort was divided into responders (n = 150), patients who achieved ≥ 5% total weight loss by the end of the MOVE! program, and nonresponders (n = 516), those who achieved < 5% total weight loss. We reviewed each patient's medical records for exposure to obesogenic medication during the time of treatment.

RESULTS

Approximately 62% (n = 411) of patients entering MOVE! had a prescription for obesogenic medications. Obesogenic medication use was associated with worse weight-loss outcomes, and participants were 37% less likely to achieve a clinically meaningful (≥ 5% total weight loss) outcome at the end of the MOVE! program (odds ratio, 0.633; 95% CI: 0.427-0.937; adjusted P = 0.022). Patients who received three or more medications (n = 72) had the greatest difficulty achieving 5% weight loss compared with the control group (odds ratio, 0.265; 95% CI: 0.108-0.646; adjusted P = 0.003).

CONCLUSIONS

The use of provider-prescribed obesogenic medications was associated with worse weight-loss outcomes in a behavioral weight-loss program. Closer scrutiny of patient medications is necessary to help improve outcomes of weight-loss treatments.