The increasing prevalence of obesity, complex nature of this chronic disease, and risks of developing obesity-related comorbidities outline the need for sustainable and effective management for people living with obesity. In addition to behavioral interventions, obesity medications (OMs) are increasingly considered an integral part of management of people living with obesity. OM adherence is essential to achieve the health benefits of these medications. Adherence to medications, defined as the process by which patients take their medications as prescribed, is determined by a range of factors and can be broken down into phases: initiation, implementation, and persistence (the persistence phase includes discontinuation/stopping treatment). Obesity-specific challenges exist to optimize OM adherence, which may explain varying OM adherence compared with medication for other chronic diseases (diabetes, hypertension, dyslipidemia, and osteoporosis). However, lessons can be learned from other chronic diseases to improve OM adherence, for example from type 2 diabetes and hypertension. This review aims to provide practical guidance for identifying OM- and obesity-specific determinants of adherence and discusses adherence determinants per adherence phase and obesity management phase (weight gain, weight loss, and weight stabilization/regain). This practical guidance will assist with developing obesity-specific interventions to improve OM adherence. PRACTITIONER POINTS: OMs are increasingly considered as an integral part of obesity management; however, like with all chronic disease medications, low adherence to these medications is often observed, impacting their therapeutic effect. Adherence to obesity medication can be affected at any phase of obesity management (weight gain, weight loss, and weight stabilization/regain) so considering the disease phase can help identify potential reasons for low adherence. Future initiatives to improve adherence to obesity medication should be a key focus of discussions at each opportunity with healthcare professionals, including thorough evaluation and targeted education, all in a supportive and stigma-free manner.

More than 40% of US adults have obesity, which increases the risks for multiple chronic diseases and premature mortality. Historically, nonsurgical interventions often have not led to sufficient weight loss and maintenance to improve health, but highly effective antiobesity medications (AOMs) have recently become available, and additional effective therapeutics are under development. Given that most medical care for adults with obesity is delivered in primary care settings, guidance for integrating weight-management approaches is needed.

Lifestyle interventions can lead to a mean weight loss of 2% to 9% of initial weight at 1 year and increase the likelihood of weight loss of 5% or more, but weight regain over time is common even with continued treatment. Adjunctive treatments, including AOMs and surgical approaches, can lead to larger, more sustained weight loss and improvements in numerous obesity-associated medical conditions. Highly effective AOMs, including nutrient-stimulated hormone-based therapies, induce mean weight loss of 15% or more. Barriers to intervention, including access to care, have a disproportionate influence on populations most affected by obesity and its consequences.

Primary care clinicians play a vital role in the assessment, management, and support of patients with obesity. With careful clinical assessment and shared decision-making, a flexible treatment plan can be developed that reflects evidence of treatment efficacy, patient preference, and feasibility of implementation. Adjunctive therapies to lifestyle interventions, including more effective pharmacotherapeutics for obesity, offer hope to patients and the potential for considerable improvements in health and quality of life.

Anti-obesity medications (AOMs), along with lifestyle interventions, are effective means of inducing and maintaining weight loss in patients with obesity. Although the efficacy of AOMs has been reported, there have been no direct comparisons of these drugs. Therefore, in the present study, we aimed to compare the efficacy of all the AOMs available in Korea in a real-world setting.

The body weight and composition of 205 adults treated with phentermine, phentermine/topiramate, liraglutide, naltrexone/bupropion, lorcaserin, or orlistat for at least 6 months were analyzed at 2 month intervals. The prevalence of the achievement of a ≥5% weight loss and the changes in body composition were compared between participants using each AOM at each visit.

A total of 132 (64.4%) participants achieved ≥5% weight loss within 6 months (prevalence of ≥5% weight loss after 6 months: phentermine, 87.2%; phentermine/topiramate, 67.7%; liraglutide, 58.1%; naltrexone/bupropion, 35.3%; lorcaserin, 75%; orlistat, 50%). At each visit, after adjustment for age, sex, and baseline body weight, phentermine use was associated with a significantly higher prevalence of ≥5% weight loss than the use of the other AOMs, except for liraglutide. There were significant differences in the body weight, body mass index and body fat mass among the AOM groups by visit (P for interaction <0.05), but not in their waist circumference, skeletal muscle mass, percentage body fat, or visceral fat area.

All the AOMs were effective at inducing and maintaining weight loss, in the absence of significant changes in muscle mass, over a 6 month period, and the short-term use of phentermine and the long-term use of phentermine/topiramate or liraglutide would be practical choices for the treatment of obesity. However, further, large-scale studies are necessary to confirm these findings.

The rising prevalence of obesity has become a public health concern, requiring efficient and comprehensive prevention strategies.

This study innovatively investigated the combined influence of individual and social/environmental factors on obesity within the urban landscape of Seoul, by employing advanced machine learning approaches. We collected 'Community Health Surveys' and credit card usage data to represent individual factors. In parallel, we utilized 'Seoul Open Data' to encapsulate social/environmental factors contributing to obesity. A Random Forest model was used to predict obesity based on individual factors. The model was further subjected to Shapley Additive Explanations (SHAP) algorithms to determine each factor's relative importance in obesity prediction. For social/environmental factors, we used the Geographically Weighted Least Absolute Shrinkage and Selection Operator (GWLASSO) to calculate the regression coefficients.

The Random Forest model predicted obesity with an accuracy of >90%. The SHAP revealed diverse influential individual obesity-related factors in each Gu district, although 'self-awareness of obesity', 'weight control experience', and 'high blood pressure experience' were among the top five influential factors across all Gu districts. The GWLASSO indicated variations in regression coefficients between social/environmental factors across different districts.

Our findings provide valuable insights for designing targeted obesity prevention programs that integrate different individual and social/environmental factors within the context of urban design, even within the same city. This study enhances the efficient development and application of explainable machine learning in devising urban health strategies. We recommend that each autonomous district consider these differential influential factors in designing their budget plans to tackle obesity effectively.

Long-term treatment of obesity with lifestyle changes alone is unsustainable for most individuals because of several factors including adherence and metabolic adaptation. Medical management of obesity has proven efficacy for up to 3 years in randomized controlled trials. However, there is a dearth of information regarding real-world outcomes beyond 3 years.

This work aimed to assess long-term weight loss outcomes over a 2.5- to 5.5-year period with US Food and Drug Administration (FDA)-approved and off-label antiobesity medications (AOMs).

A cohort of 428 patients with overweight or obesity were treated with AOMs at an academic weight management center with an initial visit between April 1, 2014, and April 1, 2016. Intervention included FDA-approved and off-label AOMs. The primary outcome was percentage weight loss from initial to final visit. Key secondary outcomes included weight reduction targets as well as demographic and clinical predictors of long-term weight loss.

The average weight loss was 10.4% at a mean follow-up duration of 4.4 years. The proportions of patients who met the weight reduction targets of 5% or greater, 10% or greater, 15% or greater, and 20% or greater were 70.8%, 48.1%, 29.9%, and 17.1%, respectively. On average, 51% of maximum weight loss was regained, while 40.2% of patients maintained their weight loss. In a multivariable regression analysis, a higher number of clinic visits was associated with more weight loss. Metformin, topiramate, and bupropion were associated with increased odds of maintaining 10% or greater weight loss.

Clinically significant long-term weight loss of 10% or more beyond 4 years is achievable in clinical practice settings with obesity pharmacotherapy.

Phentermine is an internationally recognised amphetamine derivative with significant appetite-suppressing properties. The drug is indicated for the short-term management of obesity, as the long-term (LT) use of phentermine may potentially be associated with severe cardiovascular side-effects, abuse and dependence. The LT use hereinafter describes periods exceeding 12 consecutive weeks. This use may also be associated with potential drug-drug interactions (PDDIs), which may result in adverse drug reactions (ADRs). The literature reports that phentermine is often prescribed LT and for several other off-label indications, increasing the risk for individuals to experience adverse drug events (ADEs) and drug-drug interactions (DDIs). There are, to our knowledge, no South African (SA) studies investigating the prevalence of co-prescribing LT phentermine with drugs that may potentially cause DDIs.

To determine the prevalence of mild, moderate and severe DDIs with phentermine use when the duration of therapy in private healthcare exceeded 12 consecutive weeks.

A cross-sectional drug utilisation review (DUR) was done by using data obtained from a SA pharmacy benefit management (PBM) company's database. Retrospective data of medicine claims for phentermine, from 1  January 2015 to 31  December 2019, were extracted for analysis. The number of days phentermine was supplied was used to identify the study population, in other words, those patients who received the drug LT. A drug interaction checker (Drugs.com) was used to identify potential mild, moderate and severe DDIs when using phentermine and co-prescribed drugs concurrently.

A total of 889 patients received phentermine LT. The top 20 drugs identified as being frequently co-prescribed in this study population demonstrated no mild PDDI, 15 (75%) moderate PDDIs and 5 (25%) severe PDDIs. The most common co-prescribed drug in the moderate group was dextromethorphan (n=282, 31.72%) and the least co-prescribed was formoterol (n=52, 5.85%). Among the drug group 'severe PDDIs', tramadol (n=416, 46.79%) was most frequently prescribed, whereas phenylpropanolamine (n=69, 7.76%) was the least prescribed to patients in this group.

There are patients who receive LT phentermine therapy despite the potential severe consequences that may result. These patients may receive concomitant therapy with phentermine and other pharmaceutical constituents, which may potentially cause DDIs, more specifically, moderate and severe DDIs. As such, these patients are not only confronted with the consequences of DDIs but are also at risk to experience ADRs as the residual effect of PDDIs.

The U.S. Food and Drug Administration approved phentermine-topiramate for obesity in 2012 and required a Risk Evaluation and Mitigation Strategy (REMS) to prevent prenatal exposure. No such requirement was introduced for topiramate.

To evaluate the rate of prenatal exposure, contraceptive use, and pregnancy testing among patients with phentermine-topiramate compared with topiramate or other antiobesity medications (AOMs).

Retrospective cohort study.

Nationwide health insurance claims database.

Females aged 12 to 55 years with no infertility diagnosis or sterilization procedure. Patients with other indications for topiramate were excluded to identify a cohort that was likely treated for obesity.

Patients initiated use of phentermine-topiramate, topiramate, or an AOM (liraglutide, lorcaserin, or bupropion-naltrexone). Pregnancy at treatment initiation, conception during treatment, contraceptive use, and pregnancy testing outcomes were ascertained. Measurable confounders were adjusted for, and extensive sensitivity analyses were done.

A total of 156 280 treatment episodes were observed. Adjusted prevalence of pregnancy at treatment initiation was 0.9 versus 1.6 per 1000 episodes (prevalence ratio, 0.54 [95% CI, 0.31 to 0.95]) for phentermine-topiramate versus topiramate. The incidence rate of conception during treatment was 9.1 versus 15.0 per 1000 person-years (rate ratio, 0.61 [CI, 0.40 to 0.91]) for phentermine-topiramate versus topiramate. Both outcomes were similarly lower for phentermine-topiramate compared with AOM. Prenatal exposure was marginally lower in topiramate users compared with AOM users. Approximately 20% of patients in all cohorts had at least 50% of treatment days covered by contraceptives. Few patients had pregnancy tests before treatment (≤5%), but this was more common among phentermine-topiramate users.

Outcome misclassification; unmeasured confounding due to lack of prescriber data to account for possible clustering and spillover effects.

Prenatal exposure seemed to be significantly lower among phentermine-topiramate users under the REMS. Pregnancy testing and contraceptive use appeared to be inadequate for all groups, which deserves attention to prevent the remaining potential exposures.

None.

To demonstrate a need for improved health insurance coverage for anti-obesity medications (AOMs) by comparing clinical and economic benefits of obesity treatments to covered medications for selected therapeutic areas.

Using a grey literature search, we identified and prioritized therapeutic areas and treatment analogues for comparison to obesity. A targeted literature review identified clinical and economic outcomes research across the therapeutic area analogues. Associated comorbidities, clinical evidence, indirect costs (ie, absenteeism and productivity loss), and direct medical costs were evaluated to determine the relative value of treating obesity.

Four therapeutic areas/treatment analogues were selected for comparison to obesity: smoking cessation (varenicline), daytime sleepiness (modafinil), migraines (erenumab), and fibromyalgia (pregabalin). Obesity was associated with 17 comorbidities, more than migraine (9), smoking (8), daytime sleepiness (5), and fibromyalgia (2). Economic burden was greatest for obesity, followed by smoking, with yearly indirect and direct medical costs totaling $676 and $345 billion, respectively. AOMs resulted in cost savings of $2586 in direct medical costs per patient per year (PPPY), greater than that for varenicline at $930 PPPY, modafinil at $1045 PPPY, and erenumab at $468 PPPY; pregabalin utilization increased costs by $924 PPPY. AOMs were covered by 10-16% of United States health insurance plans, compared to 45-59% for the four comparators.

Compared to four therapeutic analogues, obesity represented the highest economic burden and was associated with more comorbidities. AOMs provide greater cost savings compared to selected analogues. However, AOMs have limited formulary coverage. Improved coverage of AOMs may increase access to these treatments and may help address the clinical and economic burden associated with obesity and its comorbidities.

BACKGROUND: Obesity prevalence exceeds 40% in the US adult population, posing a substantial burden on the health care system. Antiobesity medication (AOM) is recommended for obesity management. However, little evidence exists estimating the economic impact of AOMs on health care costs over time. OBJECTIVE: To estimate the impact of AOMs indicated for long-term therapy on shortterm direct medical costs, by obesity class, in a commercially insured population. METHODS: For this retrospective cohort study, we used the IBM MarketScan Commercial Claims and Encounters Database to capture health care utilization between January 1, 2015, and December 31, 2019. Adults aged 18-63 years with a body mass index greater than or equal to 30 kg/m2 were categorized into 2 cohorts based on new AOM usage at cohort entry. New AOM users were taking 1 of 4 AOMs currently approved by the US Food and Drug Administration for long-term therapy, with greater than 112 days supply of medicine within 12 months after treatment initiation. AOM nonusers were those not taking an AOM indicated for long-term therapy during the baseline or follow-up period. We used difference-in-differences estimation to calculate the change in average annual total health care costs and cost of medications (excluding AOMs) over a 2-year follow-up period using inverse probability of treatment-weighted estimates. RESULTS: The study population included 219,971 patients, 1,405 AOM users and 218,566 AOM nonusers. Over 2 years, patients on treatment were more than twice as likely to be classified into a lower obesity class than AOM nonusers. Although the average yearly direct cost of care increased for both treatment groups in the first year of follow-up, by year 2, costs for untreated patients continued to rise while costs for patients on therapy remained stable or declined. The difference-in-differences of medication cost (excluding AOMs) and total health care cost (excluding AOMs) across all 3 obesity classes in year 2 ranged from $1,321 to $1,952 and $1,323 to $2,766, respectively, indicating a cost savings. Total cost of care, inclusive of AOMs, followed a similar trend. CONCLUSIONS: Use of AOMs is associated with the odds of moving to a lower obesity class and a general stabilization or reduction in health care costs in year 2 of follow-up. When considering change in health care costs over time, use of AOMs may be an effective strategy to mitigate the rising health care costs associated with obesity. DISCLOSURES: Dr Toliver is an employee of Novo Nordisk, Inc. Dr Watkins, Dr Kim, and Ms Whitmire were employees of Novo Nordisk at the time the study was conducted. Dr Garvey has served as a volunteer consultant on advisory committees for Jazz Pharmaceuticals, Boehringer Ingelheim, Eli Lilly, Novo Nordisk, and Pfizer; in each instance, he received no financial compensation, nor was there a financial relationship. He also has served as site principal investigator for clinical trials sponsored by his university and funded by Eli Lilly, Novo Nordisk, Epitomee, and Pfizer. Novo Nordisk funded the study and had a role in the study design, data collection, analysis, and interpretation of data, as well as writing support of the manuscript.

Adolescent obesity has been reported to have deleterious consequences but is considered a promising modifiable risk factor. We aimed to investigate the optimal intervention for obese and overweight children and adolescents.

We searched the Medline (PubMed, 1946-December 2020), PsycINFO (Ovid, 1927-December 2020), Cochrane library (1966-December 2020), Web of Science (1900-December 2020), Embase (1974-December 2020), CINAHL (1937-December 2020), Chinese Biomedical Literature (1978-December 2020), and ClinicalTrials.gov (December 2020) databases. We included randomized controlled trials (RCTs) reporting the association between various interventions and obese/overweight children and adolescents. The quality of the included studies was judged by two independent reviewers using the Cochrane Collaboration Risk of Bias Tool. A Bayesian network meta-analysis was conducted to summarize the comparative effectiveness of interventions based on several outcomes.

We included 118 RCTs comprising 71,064 participants in our analyses. Based on the outcome of the body mass index (BMI), face-to-face physical activity (FTF PA) combined with dietary intervention (DI) (mean difference [MD] = - 0.98; 95% credible interval [CrI] - 1.19, - 0.77), FTF multi-lifestyle intervention (MLI) (MD = - 0.95; 95% CrI - 1.14, - 0.75), and mobile health (MH)-delivered MLI (MD = - 0.87; 95% CrI - 1.63, - 0.09) showed significant benefits over the named control group (NCG). For the outcome of BMI z-score, FTF PA+DI (MD = - 0.10; 95% CrI - 0.15, - 0.04) and MH-delivered PA+DI (MD = - 0.09; 95% CrI - 0.14, - 0.04) were more effective than the NCG. Sensitivity analyses revealed similar findings after exclusion of studies with < 12-month and 24-month outcome assessments for the intervention, which indicated the results were stable.

Based on limited quality evidence and limited direct evidence, our preliminary findings showed that FTF-PA+DI, FTF-MLI, and MH-delivered MLI improved the health-related parameters in obese adolescents, in comparison with NCG. Owing to the absence of strong, direct evidence of a significant difference between the various interventions for the four outcomes, we can only cautiously suggest that FTF-PA+DI is likely the most effective intervention.

Using data from 2017, the authors have previously examined the coverage of obesity-related services in state employee health plans since 2009 and found improvements in coverage for obesity-related treatments. This study repeated the collection of similar data for 2021 and explored whether coverage had continued to increase or decline.

Data on obesity benefits for state employees were obtained from publicly available documents from relevant state websites. Source documents were reviewed for language that would indicate the availability of coverage for nutritional counseling, pharmacotherapy, and bariatric surgery. Use data were collected when available, but availability was limited.

Coverage for some treatments of obesity continued to trend upward, as was the case between 2009 and 2017, but coverage for pharmacotherapy declined from 2017 to 2021. Use data were received from only eight states; analysis of these data indicated underuse of obesity benefits by plan enrollees compared with each state's rate of obesity.

Despite promising new therapies, states in 2021 were less likely to provide coverage for antiobesity medications. Additionally, limited use data suggested that few eligible individuals may be receiving these services. In conclusion, state employee health plans are currently inadequate given the prevalence, severity, and costs of obesity.

As obesity prevalence increases, more and more drugs that assist with weight loss have been developed. Numerous weight loss drugs had been approved, but many have also been withdrawn based on their lack of efficacy as well as safety concerns. Initial approaches in developing weight loss drugs was by increasing physiological energy expenditure and suppressing the appetite. Subsequently, as more physiological mechanisms for weight gain has been unearthed, drugs targeting newly discovered receptors and/or enzymes have been introduced with improved safety profiles and fewer psychological adverse events. Additionally, drugs targeting hunger or satiety signaling have been actively studied, and have shown increased adoption by physicians. Studies have also evaluated drugs that target metabolic tissues-such as adipose tissue or muscle-to promote weight loss, however to-date nothing has carried on into clinical practice. Starting with a brief history of early obesity treatments, this review evaluates current weight loss pharmaceutical options based on their duration of therapy status.

Background Obesity is a globally growing health problem, and its treatment has been challenging. The use of anti-obesity medications (AOMs) has been associated with severe adverse events (AEs). Several AOMs have been withdrawn from the market owing to documented AEs. Aim To describe, estimate and characterize the frequency of AEs attributable to the use of the AOMs, and investigate previously unreported potential AEs associated with AOMs. Method Using the US FDA Adverse Event Reporting System (FAERS) between January 2013 and June 2020, a retrospective, descriptive analysis was conducted to analyze all major reported AEs and outcomes including death, life-threatening, hospitalization, disability, and required intervention or congenital anomaly. The total numbers of AEs reports, cases, adverse reactions and outcomes were calculated for each medication. Results A total of 18,675 unique AEs reports associated with AOMs used for 15,143 patients. The mean age was 49.8 years [SD 1.83], while most patients were female adults (73.4%). The most frequently reported AEs were nausea and vomiting, followed by dizziness and headache, drug ineffectiveness, cardiovascular diseases, and kidney complications. There were 21,229 unique outcomes, including 1039 deaths (fatality ratio of 4.9% of all analyzed reports), 1613 (7.6%) life-threatening events, 7426 (35%) hospitalizations, and 1249 (5.9%) disability cases. Phentermine/topiramate fatal cases represent 6% of the overall medication's reported AEs. Cardiovascular AEs represented 31%, 23%, and 22% of phentermine, liraglutide, and phentermine/topiramate total AEs, respectively. Conclusion The analysis of FAERS database revealed numerous serious AEs associated with AOMs. These AEs can lead to serious cardiovascular and kidney complications. It is necessary to continue and systematically monitor safety of AOMs' to optimize patient anti-obesity therapy.

To summarize research from the last 5 years on the effects of weight loss treatments, including lifestyle changes, anti-obesity medications, and bariatric procedures on cardiovascular disease (CVD) risk factors and CVD outcomes in adults.

This narrative review includes and summarizes the contemporary evidence of the effects of these different weight loss approaches individually. A literature search was performed using the key words obesity, weight loss, CVD, cardiometabolic, and risk factors and included key clinical trials from the past 5 years. Obesity management through weight loss is associated with improvements in CVD risk factors, such as improved blood pressure, lipid profiles, and glycemic control, with greater weight loss leading to greater improvements in CVD risk factors. Bariatric surgery is associated with greater weight loss than the other procedures and treatments for obesity, and for this, and possibly for other reasons, it is associated with greater reductions in CVD outcomes and mortality. Obesity is an independent risk factor and modulator of other CVD risk factors, and thus, treatment of obesity should be an integral part of management strategies to reduce CVD risk. Future trials and real-world studies of longer duration are needed to inform providers and patients on how to individualize the approach to modifying risks of cardiometabolic disorders through obesity management.

To estimate utilization of FDA-approved prescription anti-obesity medications (AOMs) and identify factors associated with AOM use in the United States.

Respondents >18 years-old meeting AOM eligibility criteria in 2015-2016 and 2017-2018 National Health and Nutrition Examination Survey (NHANES) and 2016 Medical Expenditure Panel Survey (MEPS) were included in the study. AOM eligibility was defined as having a body mass index (BMI) >30 kg/m², or a BMI between 27 to 29.9 kg/m² and at least one obesity-related comorbidity. Demographic, socioeconomic, and clinical characteristics, economic outcomes and health-related quality of life were summarized and compared between AOM users and non-users. Multivariable logistic regression was used to identify factors associated with AOM use.

Only 0.80% of eligible adults reported use of AOMs in the past 30 days in 2015-2016 and 2017-2018 NHANES. A greater proportion of current AOM users previously tried dietary changes compared to non-users. They also reported an average weight loss of 6.8 lbs. (3.1 kg) over the previous year compared to a 3.3 lbs. (1.5 kg) gain among non-users. Total healthcare costs trended higher among AOM users, driven mostly by higher outpatient healthcare costs. A BMI ≥30 kg/m², depression, dyslipidemia, and infertility predicted AOM use, whereas Medicare and being at risk of sleep apnea were associated with lower odds of AOM use.

Despite availability of newer AOMs and inclusion of AOMs in medical treatment guidelines, AOM utilization remains low. This may reflect under-prescribing of and/or restricted patient access to approved evidence-based pharmacotherapy for obesity.

To assess the trends in the prescribing of antiobesity medications and the characteristics of patients recently initiating antiobesity drugs.

We conducted a population-based cohort study using claims data from commercial health insurances in the United States. Patients initiating an antiobesity drug between January 2004 and December 2018 were included. Trends in the utilization of antiobesity medications were plotted by year, as a proportion of any antiobesity treatment, and as initiation rates per 100 000. Descriptive statistics were used to summarize the characteristics of antiobesity initiators.

From 2004 to 2018, 626 216 patients started an antiobesity medication (two per 100 000). Phentermine was the most frequently prescribed (50% in 2018). In recent years (2015-2018), among 227 692 patients who initiated an antiobesity drug, 51% started phentermine, 19% naltrexone-bupropion, and 13% liraglutide 3.0 mg. Compared to other agents, the use of liraglutide 3.0 mg increased between 2015 and 2018. The average age of initiators was 45 years, 81% of initiators were female, 32% had hypertension, 25% had dyslipidaemia, and 6% had type 2 diabetes. Time on treatment was generally short (mean 81 days).

The overall use of antiobesity medications remained low over the past 15 years and phentermine was the preferred antiobesity agent. Although the use of potentially safer antiobesity agents, for example, liraglutide 3.0 mg, has increased in recent years, phentermine remained the most frequently prescribed agent among middle-aged adults with a moderate burden of comorbidities.

Obesity is a chronic illness that requires a multifaceted personalized treatment approach.

Using current guidelines and recent studies in weight management, this article reviews the multiple components of weight management: lifestyle intervention (dietary intervention, physical activity, and behavioral interventions), pharmacotherapy, endoscopic procedures, and surgical procedures. This review briefly discusses specific diets and dietary strategies, compensatory mechanisms acting against weight loss, recent changes to Food and Drug Administration approved antiobesity medications, and technological advances in weight management delivery.

Current literature is lacking large studies on the safety and efficacy of combination therapies involving pharmacotherapy plus 1 or more procedures.

Obesity is a chronic, relapsing metabolic disease, linked to a number of health risks and serious complications. Although highly prevalent in adults in the United States, it is underdiagnosed and untreated. Primary care providers (PCPs) are uniquely poised to diagnose and treat patients with obesity, using a selection of treatment strategies including lifestyle modifications and pharmacotherapies. As a physiological regulator of appetite and energy intake, the glucagon-like peptide-1 receptor agonist (GLP-1 RA) liraglutide 3.0 mg is approved for chronic weight management in individuals with overweight (pre-obesity) or obesity. In this review, we provide an overview of the clinical data supporting the use of liraglutide 3.0 mg, as well as practical advice for PCPs on the initiation and maintenance of treatment over the long term. This also covers the management of side effects and how to manage patient expectations over time.

Despite the growing trend of obesity, the utilization of anti-obesity therapeutic interventions is not robust in the USA. We aimed to analyze the trends of anti-obesity pharmacotherapy using a population level database.

We used an electronic health record-derived database (Explorys, IBM Watson Health) to identify adults with obesity (body mass index ≥ 30 kg/m²), 2010-2019. Annual rates of anti-obesity pharmacotherapy were analyzed. To assess post-bariatric utilization of these medications, the trend of adults with morbid obesity (BMI ≥ 40 kg/m ²) who were newly started on anti-obesity medications after sleeve gastrectomy was also analyzed.

Among 11,195,020 adults with obesity, 274,160 (2.4%) were prescribed anti-obesity medications during the study period with an increase from 1.1% in 2010 to 2.9% in 2019 (p < 0.0001). A total of 900 (3.5%) of those with morbid obesity were started on weight loss medications within 5 years of sleeve gastrectomy. Women [odds ratio (OR) 3.57, 95% confidence interval (CI) 3.51-3.58], individuals under 50 years (OR 1.59, CI 1.57-1.60), non-Hispanics (OR 1.12, 1.10-1.14, p < 0.0001), African Americans (OR 1.18, CI 1.16-1.19), Medicaid (OR 1.70, CI 1.67-1.73), and commercial insurance holders (OR 2.46, 2.43-2.49) were more likely to receive anti-obesity pharmacotherapy, p < 0.001 for all comparisons.

There has been a modest increase in the prevalence of anti-obesity medications in the last 10 years, but they remain significantly underutilized. Further studies addressing the barriers to anti-obesity pharmacotherapy might help in increasing the utilization of these medications among adults with obesity.

Obesity is a well-known risk factor for infertility. However, the use of weight loss medications prior to conception is underutilized. The objectives of our study are to describe weight loss, pregnancy rates, and live birth rates after short-term phentermine use in women with obesity and infertility.

This was a retrospective analysis of 55 women (18 to 45 years old) who were overweight or obese, diagnosed with infertility, and prescribed phentermine for weight loss in an ambulatory endocrinology clinic at a single, tertiary level academic medical center. Main outcome measures were mean percent weight change at 3 months after starting phentermine, and pregnancy, and live birth rates from start of phentermine to June 30, 2017.

Median duration of phentermine use was 70 days (Q1, Q3 [33, 129]). Mean ± SD percent weight change at 3 months after starting phentermine was -5.3 ± 4.1% (P<.001). The pregnancy rate was 60% and the live birth rate was 49%. There was no significant difference in pregnancy rates (52% versus 68%; P = .23) or live birth rates (44% versus 54%; P = .50) in women who lost ≥5% versus <5% of their baseline weight. The number of metabolic comorbidities was negatively associated with the pregnancy rate. Phentermine was generally well-tolerated with no serious adverse events.

Phentermine can produce clinically significant weight loss in women with obesity during the preconception period. Higher pregnancy or live birth rates were not observed with a greater degree of weight loss with phentermine.

Weight management medications can significantly increase patients' chances of achieving a clinically meaningful weight loss if patients persist with treatment. This retrospective observational study of de-identified medical records of 311 patients is the first real-world study examining persistence with liraglutide 3.0 mg in Canada, and also investigates associations between the SaxendaCare® patient support program and persistence and weight loss.

Overall persistence was assessed, as well as associations of enrollment in SaxendaCare®, persistence and weight loss.

Overall mean (standard deviation) persistence with liraglutide 3.0 mg was 6.3 (4.1) months, and 67.5% (n = 210) and 53.7% (n = 167) of patients persisted for ≥4 and ≥ 6 months, respectively. Enrollment in SaxendaCare® was associated with significantly longer persistence with liraglutide 3.0 mg and greater weight loss. Patients enrolled in SaxendaCare® (n = 119) persisted for 7.9 (4.0) versus 5.2 (3.8) months for those not enrolled (n = 184) (p < 0.001), and had significantly greater percent weight loss after 6 months regardless of the duration of their persistence (-7.9% vs -5.5% from baseline, p < 0.01).

These findings suggest that, in clinical settings, persistence with liraglutide 3.0 mg can exceed 6 months, and that enrolling in SaxendaCare® may be associated with comparatively longer persistence and, regardless of persistence, greater weight loss.

Obesity and its complications place an enormous burden on society. Yet antiobesity medications (AOM) are prescribed to only 2% of the eligible population, even though few individuals can sustain weight loss using other strategies alone. This study estimated the societal value of greater access to AOM.

By using a well-established simulation model (The Health Economics Medical Innovation Simulation), the societal value of AOM for the cohort of Americans aged ≥ 25 years in 2019 was quantified. Four scenarios with differential uptake among the eligible population (15% and 30%) were modeled, with efficacy from current and next-generation AOM. Societal value was measured as monetized quality of life, productivity gains, and savings in medical spending, subtracting the costs of AOM.

For the 217 million Americans aged ≥ 25 years, AOM generated $1.2 trillion in lifetime societal value under a conservative scenario (15% annual uptake using currently available AOM). The introduction of next-generation AOM increased societal value to $1.9 to $2.5 trillion, depending on uptake. Finally, societal value was higher for younger individuals and Black and Hispanic individuals compared with White individuals.

This study suggests that AOM provide substantial gains to patients and society. Policies promoting broader clinical access to and use of AOM warrant consideration to reach national goals to reduce obesity.

The aim of this study was to examine the prescribing patterns and use of antiobesity medications in a large cohort of patients using data from electronic health records.

Pharmacy- and patient-level electronic health record data were obtained on 2,248,407 adults eligible for weight-loss medications from eight geographically dispersed health care organizations.

A total of 29,964 patients (1.3% of total cohort) filled at least one weight-loss medication prescription. This cohort was 82.3% female, with median age 44.9 years and median BMI 37.2 kg/m2 . Phentermine accounted for 76.6% of all prescriptions, with 51.7% of prescriptions being filled for ≥ 120 days and 33.8% filled for ≥ 360 days. There was an increase of 32.9% in medication days for all medications in 2015 compared with 2009. Higher prescription rates were observed in women, black patients, and patients in higher BMI classes. Of 3,919 providers who wrote at least one filled prescription, 23.8% (n = 863) were "frequent prescribers" who wrote 89.6% of all filled prescriptions.

Weight-loss medications are rarely prescribed to eligible patients. Phentermine accounted for > 75% of all medication days, with a majority of patients filling it for more than 4 months. Less than one-quarter of prescribing providers accounted for approximately 90% of all prescriptions.

Phentermine is the most prescribed antiobesity drug in America, with 2.43 million prescriptions written in 2011. Case reports suggest there are anesthetic risks, such as refractory hypotension, involved with its perioperative use. Despite these risks and the frequency of phentermine use among plastic surgery patients, there are no published guidelines for the perioperative management of phentermine use in the plastic surgery literature. To address this patient safety issue, we performed a systematic review and provide management recommendations.

A systematic review of the pharmacology of phentermine and the anesthetic risks involved with its perioperative use was undertaken using the search engines PubMed/MEDLINE, EMBASE, and Scopus.

A total of 251 citations were reviewed, yielding 4 articles that discussed perioperative phentermine use and complications with anesthesia. One was a review article, 2 were case reports, and 1 was a letter. Complications included hypotension, hypertension, hypoglycemia, hyperthermia, bradycardia, cardiac depression, and acute pulmonary edema.

The relationship between phentermine and anesthesia, if any, is unclear. Hypotension on induction of general anesthesia is the most reported complication of perioperative phentermine use. Specifically, phentermine-induced hypotension may be unresponsive to vasopressors that rely on catecholamine release, such as ephedrine. Therefore, the decision to perform surgery, especially elective surgery, in a patient taking phentermine should be made with caution. Because of the half-life of phentermine, we recommend discontinuing phentermine for at least 4 days prior to surgery. This differs from the classic 2-week discontinuation period recommended for "fen-phen." The patient should be made aware of the increased risk of surgery, and a skilled anesthesiologist should monitor intraoperative blood pressure and body temperature for signs of autonomic derailment.

Phentermine is a sympathomimetic amine used for the short-term weight loss that has been associated with ischemic and hemorrhagic strokes in adults. The effects of this medication on a developing fetus are not well studied. We present the case of a woman who was taking phentermine during the first two trimesters of pregnancy and subsequently delivered a child with bilateral porencephalic cysts likely due to a prenatal stroke.

Obesity has become a serious public health problem. Although diet, surgery, and exercise are the primary treatments for obesity, these activities are often supplemented using appetite suppressants. A previous study reported that obesity specialists frequently prescribed a new drug combination for its treatment that includes phentermine (Phen; dopaminergic appetite suppressant), a serotonin (5-HT) precursor 5-hydroxytryptophan (5-HTP; an appetite suppressant that increases the 5-HT concentration), and carbidopa (CB; peripheral blocker of conversion of 5-HTP to 5-HT). Despite its widespread use, there is neither a preclinical study confirming the drug efficacy nor studies of its effects on the brain. To fill this gap, in rats for seven consecutive days, we administered Phen intraperitoneally at different doses either alone or in combination with a fixed dose of 5-HTP/CB. In a different group, we infused drugs via an intraperitoneal catheter while extracellular-recordings were performed in the nucleus accumbens shell (NAcSh), a brain region with dopamine-releasing effects that is involved in the action of appetite suppressants. We found that the triple-drug combination leads to greater weight-loss than each drug alone. Moreover, and as the treatment progresses, the triple drug combination partially reversed psychomotor side-effects induced by Phen. Electrophysiological results revealed that Phen alone evoked a net inhibitory imbalance in NAcSh population activity that correlated with the onset of psychomotor effects. In addition, and unlike the greater weight loss, the addition of 5-HTP/CB did not alter the Phen-evoked inhibitory imbalance in NAcSh responses. Subsequent experiments shed light on the underlying mechanism. That is the majority of NAcSh neurons modulated by 5-HTP/CB were suppressed by Phen. Notably, and despite acting via a different mechanism of action (DA for Phen vs. 5-HT for 5-HTP/CB), both drugs recruited largely overlapping NAcSh neuronal ensembles. These data suggest that the neural correlates of the greater weight loss could be located outside the NAcSh, in other brain circuits. Furthermore, we conclude that Phen + 5-HTP/CB is a potential treatment for overweight and obesity.

To evaluate in a real-world setting the effectiveness of two drugs, orlistat and liraglutide, in patients with overweight or obesity and insufficient weight loss (WL) after a lifestyle modification programme.

Retrospective, observational cohort study comparing clinical outcomes of orlistat 120 mg three times a day and liraglutide (up to 3 mg daily) in adult patients with BMI ≥30 kg/m² or ≥27 kg/m² with at least a weight-related comorbidity who had failed to lose at least 5% of their weight after 6 months of lifestyle modification. The co-primary end-points, assessed at 3-6 months and at the end of the follow-up, were weight change from baseline, proportion of patients who lost at least 5% of their baseline weight and adjusted differences in WL between both drugs.

Five hundred patients, 400 in the group of orlistat (age 47.0, weight 107.8 kg) and 100 in the group of liraglutide (age 51.9 years, weight 105.1 kg), were included. Treatment with both drugs significantly reduced weight, fasting plasma glucose, systolic BP, low-density lipoprotein-cholesterol and alanine transaminase over a median follow-up period of 7 months. WL with liraglutide (-7.7 kg) was significantly greater than that observed with orlistat (-3.3 kg), and more individuals lost at least 5% of their baseline weight with liraglutide (64.7%) than with orlistat (27.4%). Rates of prediabetes significantly decreased with liraglutide in comparison to orlistat.

In this real-world study, liraglutide showed a greater effectiveness in WL compared with orlistat and improved several obesity-associated metabolic and cardiovascular risk factors.

Aims: To estimate the long-term budget impact of expanding Medicare coverage of anti-obesity interventions among adults aged 65 and older in the US. Materials and methods: This study analyzed a representative sample of Medicare beneficiaries from the combined 2008-2016 National Health and Nutrition Examination Surveys. Population characteristics, cost and effectiveness of anti-obesity interventions, and the sustainability of weight loss in real-life were modeled to project the budgetary impact on gross Medicare outlay over 10 years. Hypothetical scenarios of 50% and 67% increases in intervention participation above base case were used to model moderate and extensive Medicare coverage expansion of intensive behavior therapy and pharmacotherapy. Results: For each Medicare beneficiary receiving anti-obesity treatment, we estimate Medicare savings of $6,842 and $7,155 over 10 years under moderate and extensive coverage utilization assumptions, respectively. The average cost of intervention is $1,798 and $1,886 per treated participant. Taking the entire Medicare population (treated and untreated) into consideration, the estimated 10-year budget savings per beneficiary are $308 and $339 under moderate and extensive assumptions, respectively. Sensitivity analysis of drug adherence rate and weight-loss efficacy indicated a potential variation of budget savings within 7% and 22% of the base case, respectively. Most of the projected cost savings come from lower utilization of ambulatory services and prescription drugs. Limitations: Due to the scarcity of studies on the efficacy of pharmacotherapy among older adults with obesity, the simulated weight loss and long-term maintenance effects were derived from clinical trial outcomes, in which older adults were mostly excluded from participation. The model did not include potential side-effects from anti-obesity medications and associated costs. Conclusions: This analysis suggests that expanding coverage of anti-obesity interventions to eligible individuals could generate $20-$23 billion budgetary savings to Medicare over 10 years.

Weight-management medications (WMM) are recommended for the treatment of obesity. This study examined characteristics associated with initial receipt of WMM among eligible veterans in the first year following enrollment in the Veterans Health Administration (VHA) MOVE! behavioral weight-management program.

We conducted a retrospective cohort study of VHA patients with obesity or overweight and obesity-related comorbidities who enrolled in MOVE! from October 2013 to September 2016 (N = 153,939). Multivariable logistic regression models estimated predictors of having a filled prescription for WMM and for orlistat.

A total of 1.1% of these veterans received WMM. The most common WMM included orlistat (70.4%), phentermine/topiramate (11.2%), and bupropion/naltrexone (9.7%). Female sex, higher BMI, obstructive sleep apnea, osteoarthritis, depression, lower back pain, and alcohol abuse were associated with greater odds of use of WMM, whereas age over 65 years, Hispanic ethnicity, and required co-payments were associated with lower odds. Among patients receiving WMM, older age, black race, female sex, higher BMI, cardiovascular disease, lower back pain, and congestive heart failure were associated with use of orlistat versus any other WMM.

Of patients engaged in MOVE! in the VHA, 1.1% received WMM. WMM are underutilized among veterans. Additional research is needed to understand barriers to incorporating WMM into comprehensive obesity treatment plans.

Agricultural water withdrawals account for the largest proportion of global freshwater use. Increasing municipal water demands and droughts are straining agricultural water supplies. Therefore, alternative solutions to agricultural water crises are urgently needed, including the use of nontraditional water sources such as advanced treated wastewater or reclaimed water, brackish water, return flows, and effluent from produce processing facilities. However, it is critical to ensure that such usage does not compromise soil, crop, and public health. Here, we characterized five different nontraditional water types (n = 357 samples) for the presence of pharmaceuticals, herbicides, and disinfectants using ultra-high-pressure liquid chromatography tandem mass spectrometry based method (UPLC-MS/MS). We then evaluated whether the levels of these contaminants were influenced by season. The highest level of herbicides (atrazine) was detected in untreated pond water (median concentration 135.9 ng/L). Reclaimed water had the highest levels of antibiotics and stimulants including azithromycin (215 ng/L), sulfamethoxazole (232.1 ng/L), and caffeine (89.4 ng/L). Produce processing plant water also tended to have high levels of atrazine (102.7 ng/L) and ciprofloxacin (80.1 ng/L). In addition, we observed seasonal variability across water types, with the highest atrazine concentrations observed during summer months, while the highest median azithromycin concentrations were observed in reclaimed water during the winter season. Further studies are needed to evaluate if economically feasible on-farm water treatment technologies can effectively remove such contaminants from nontraditional irrigation water sources.

Objective: The effectiveness of anti-obesity medications (AOMs) outside of clinical trials is unclear. The objective of this study was to compare the short-term effectiveness of AOMs in real-world practice. Methods: This retrospective study included adults aged ≥18 years, with body mass index ≥30 kg/m² or ≥27 kg/m² with at least one obesity-related comorbidity who were prescribed phentermine hydrochloride, phenterminetopiramate, bupropion-naltrexone, or lorcaserin for 12 consecutive weeks between 2006 and 2016 at a large tertiary healthcare system. Propensity score-matched cohorts were created for each pair of AOMs. The primary outcomes were percent and absolute weight loss from baseline after 12 weeks. A prediction model was constructed to estimate weight loss with different AOMs based on demographic and clinical data. Results: Of the 3,411 patients included in this study, patients lost an average of 3.45% of body weight from baseline. All AOMs were associated with a significant weight loss from baseline (P<.0001). Patients lost the highest percentage of body weight on phentermine hydrochloride (3.75 ± 5.66%), followed by phentermine-topiramate (3.63 ± 5.7%), bupropion-naltrexone (2.66 ± 5.03%), and lorcaserin (1.84 ± 6.69%). In propensity-matched cohorts, patients taking phentermine hydrochloride lost more weight than those taking lorcaserin or bupropion-naltrexone, and patients taking phentermine topiramate lost more weight than patients taking lorcaserin. Conclusion: In real-world practice, AOMs are associated with clinically meaningful weight loss of 2 to 4% after 12 weeks. In this study, phentermine hydrochloride and phentermine topiramate produced the most weight loss. AOMs should be seriously considered as part of the armamentarium to treat patients with obesity. Abbreviations: AOM = anti-obesity medication; BMI = body mass index; EMR = electronic medical record; FDA = Food and Drug Administration; T2D = type 2 diabetes.

Background: Both medical weight management (MWM) and bariatric surgery are significantly underutilized by patients with severe obesity, particularly males. Less than 30% of participants in MWM programs are male, and only 20% of patients undergoing bariatric surgery are men. Objectives: To identify motivations of males who pursue either MWM or bariatric surgery. Setting: Interviews with males with severe obesity (body mass index ≥35 kg/m2), who participated in a Veteran Affairs weight loss program in the Midwest. Materials and Methods: Participants were asked to describe their experiences with MWM and bariatric surgery. Interviews were audio-recorded, transcribed, and uploaded to NVivo for data management and analysis. Five coders iteratively developed a codebook using inductive content analysis to identify relevant themes. We utilized theme matrices organized by type of motivation and treatment pathway to generate higher-level analysis and generate themes. Results: Twenty-five males participated. Participants were 58.7 (standard deviation 8.6) years old on average, and 24% were non-white. Motivations for pursuing MWM or surgery included a desire to improve physical or psychological health and to enhance quality of life. Patients seeking bariatric surgery were motivated by the fear of death and felt that they had exhausted all other weight loss options. MWM patients believed they had more time to pursue other weight loss options. Conclusion: The opportunity to improve health, optimize quality of life, and lengthen lifespan motivates males with severe obesity to pursue weight loss treatments. These factors should be considered when providers educate patients about obesity treatment options and outcomes.

There is an unmet need for a safer and more effective treatment for obesity. This study assessed the effects of licogliflozin, a dual inhibitor of sodium-glucose co-transporter (SGLT) 1/2, on body weight, metabolic parameters and incretin hormones in patients with type 2 diabetes mellitus (T2DM) and/or obesity.

Patients with obesity (BMI, 35-50 kg/m² ) were enrolled into a 12-week study (N = 88; licogliflozin 150 mg q.d.). Patients with T2DM were enrolled into a second, two-part study, comprising a single-dose cross-over study (N = 12; 2.5 - 300 mg) and a 14-day dosing study (N = 30; 15 mg q.d). Primary endpoints included effects on body weight, effects on glucose, safety and tolerability. Secondary endpoints included urinary glucose excretion (UGE₂₄ ) and pharmacokinetics, while exploratory endpoints assessed the effects on incretin hormones (total GLP-1, PYY_3-36 , and GIP), insulin and glucagon.

Treatment with licogliflozin 150 mg q.d. for 12 weeks in patients with obesity significantly reduced body weight by 5.7% vs placebo (P < 0.001) and improved metabolic parameters such as significantly reduced postprandial glucose excursion (21%; P < 0.001), reduced insulin levels (80%; P < 0.001) and increased glucagon (59%; P < 0.001). In patients with T2DM, a single dose of licogliflozin 300 mg in the morning prior to an oral glucose tolerance test (OGTT) remarkably reduced glucose excursion by 93% (P < 0.001; incremental AUC_0-4h ) and suppressed insulin by 90% (P < 0.01; incremental AUC_0-4h ). Treatment with licogliflozin 15 mg q.d. for 14 days reduced 24-hour average glucose levels by 26% (41 mg/dL; P < 0.001) and increased UGE₂₄ to 100 g (P < 0.001) in patients with T2DM. In addition, this treatment regimen significantly increased total GLP-1 by 54% (P < 0.001) and PYY_3-36 by 67% (P < 0.05) post OGTT vs placebo, while significantly reducing GIP levels by 53% (P < 0.001). Treatment with licogliflozin was generally safe and well tolerated. Diarrhea (increased numbers of loose stool) was the most common adverse event in all studies (90% with licogliflozin vs 25% with placebo in the 12-week study), while a lower incidence of flatulence, abdominal pain and abdominal distension (25%-43% with licogliflozin vs 9%-11% with placebo in the 12-week study) were among the other gastrointestinal events reported.

Licogliflozin treatment (1-84 days) leads to significant weight loss and favourable changes in a variety of metabolic parameters and incretin hormones. Dual inhibition of SGLT1/2 with licogliflozin in the gut and kidneys is an attractive strategy for treating obesity and diabetes.

Obesity is a complex disorder that is linked to many coexisting disorders. Recent epidemiological data have suggested that the prevalence of obesity is at an all-time high, growing to be one of the world's biggest problems. There are several mechanisms on how individuals develop obesity which includes genetic and environmental factors. Not only does obesity contribute to other health issues but it also greatly affects the quality of life, physical ability, mental strength and imposes a huge burden in terms of healthcare costs. Along with that, obesity is associated with the risk of mortality and has been shown to reduce the median survival rate. Obesity is basically when the body is not able to balance energy intake and output. When energy intake exceeds energy expenditure, excess calories will be stored as fat leading to weight gain and eventually obesity. The therapeutic market for treating obesity is composed of many different interventions from lifestyle intervention, surgical procedures to pharmacotherapeutic approaches. All of these interventions have their respective benefits and disadvantages and are specifically prescribed to a patient based on the severity of their obesity as well as the existence of other health conditions. This review discusses the genetic and environmental causes of obesity along with the recent developments in anti-obesity therapies.

Despite increased awareness of obesity-related health risks and myriad treatment options, obesity still affects more than one-third of persons in the United States and is a substantial public health problem. Studies show that physicians play a key role in obesity prevention and treatment. The objective of this study was to examine the extent to which obesity is diagnosed and treated at the level of patient-physician interaction.

We used data from the National Ambulatory Medical Care Survey (NAMCS), a nationally representative data set of US physician office visits. We estimated the number of obesity diagnoses and prescriptions of weight-loss management solutions (exercise counseling, diet counseling, or weight-loss drugs) in clinical practice from 1996 through 2014. We also calculated rates of obesity diagnosis and compared these rates with national rates of obesity based on body mass index data from the Behavioral Risk Factor Surveillance System (BRFSS) for the same period.

The estimated number of weight gain-related physician office visits increased from 2.3 million in 1996 to a peak of 7.6 million in 2012, and then fell to 4.5 million in 2014. National estimates of obesity diagnoses resulting from physician office visits ranged from 7.1 million in 1996 to 12.7 million in 2014 and substantially outnumbered the estimates for weight gain-related physician office visits throughout the study period. Estimates of exercise counseling and diet counseling and weight-loss medication prescriptions resulting from physician office visits fluctuated over time but never exceeded obesity diagnoses. When compared with national rates of obesity from the BRFSS, rates of obesity diagnoses resulting from physician office visits were substantially lower in the NAMCS (17%-30% vs 1%). National trends for weight-loss medication prescriptions closely mirrored those of weight gain-related physician office visits, even though fluctuations were substantial.

Our results suggest that obesity is largely underdiagnosed and undertreated in clinical encounters. Future studies should investigate the structural changes needed to better engage physicians in obesity prevention and care. Practitioners should also reflect on their biases in treating obesity as a chronic disease.

Weight loss is strongly associated with improvement in blood pressure; however, the mechanism of weight loss can impact the magnitude and sustainability of blood pressure reduction.

Five drugs-orlistat, lorcaserin, liraglutide, phentermine/topiramate, and naltrexone/bupropion-are currently approved for weight loss therapy in the USA. Naltrexone/bupropion results in an increase in in-office and ambulatory blood pressure compared to placebo. Other therapies are associated with modest lowering of blood pressure, and are generally well-tolerated; nonetheless, evidence is limited regarding their effect on blood pressure, particularly longitudinally, in individuals with hypertension. Although weight loss medications can be an effective adjunct to lifestyle modifications in individuals with obesity, there is limited evidence regarding their benefit with regard to blood pressure. Future studies evaluating the effectiveness of weight loss medications should include careful assessment of their short- and long-term impact on blood pressure in individuals with hypertension.

Obesity is a growing health problem that has numerous comorbidities, including cardiovascular disease (CVD). The multi-disciplinary treatment of obesity now includes the use of pharmacotherapy. When treating patients with obesity and CVD, certain medications may be more appropriate than others.

Herein, the authors review the most commonly used FDA approved medications for the treatment of obesity, describing their mechanism of action, and the efficacy and safety of the medications as seen in recent studies, particularly in patients with CVD.

In the population of patients with obesity and CVD, the medications orlistat, lorcaserin and liraglutide are considered the most appropriate options for their treatment, in terms of safety. Sympathomimetic medications, such as phentermine, should be avoided in this group. The recent CAMELLIA-TIMI 61 trial supports the safety of lorcaserin in patients with CVD. Until there are more studies, it is reasonable to extrapolate the findings of the LEADER trial, which found improved CV outcomes in subjects with type 2 diabetes taking liraglutide, to the population of nondiabetic patients being treated for obesity. Further cardiovascular outcomes trials (CVOT) are needed to assess the safety of other pharmacotherapeutic options for weight loss.

Evaluate real-world data on persistence with anti-obesity medications (AOMs) and explore associated patient factors.

Truven Health MarketScan® data were analyzed to evaluate utilization of AOMs approved for long-term use between 4/2015 and 3/2016. Kaplan-Meier survival analyses were used to evaluate treatment persistence. A multivariate analysis was performed to identify associations between persistence and relevant factors.

In total, 26,522 adult patients were identified as newly prescribed naltrexone/bupropion (44.0%, mean age 47.1, 80.5% female), lorcaserin (24.8%, 48.5, 79.3%), phentermine/topiramate extended release (15.8%, 46.7, 82.2%) or liraglutide 3.0 mg (15.4%, 46.9, 72.4%). At 6 months, 41.8% of patients were still on liraglutide 3.0 mg, compared to 15.9% lorcaserin (p < 0.001), 18.1% naltrexone/bupropion (p < 0.001), and 27.3% phentermine/topiramate (p < 0.001). After adjusting for baseline factors, patients on liraglutide 3.0 mg had significantly lower risk of discontinuation compared to those on lorcaserin (HR = 0.46, p < 0.0001), naltrexone/bupropion (HR = 0.48, p < 0.0001), and phentermine/topiramate (HR = 0.64, p < 0.0001) over the course of follow-up (mean follow-up duration, 342-427 days). Older age, male gender, having hyperlipidemia, and no prior phentermine use were associated with higher persistence. Over 95% of study patients had commercial insurance.

In a real-world setting, patients on liraglutide 3.0 mg had the highest persistence rate of the four AOMs studied.

Examine clinical profile of extended-release topiramate (Trokendi XR^®) and compare treatment-emergent adverse events (TEAEs) associated with Trokendi XR versus previous immediate-release topiramate (TPM-IR) treatment.

Pilot retrospective study analyzing data extracted from medical charts of patients ≥6 years of age prescribed Trokendi XR.

Trokendi XR was the most commonly used to prevent migraine. The most common TEAEs recorded during topiramate treatment were cognitive symptoms (word-finding difficulty, attention/concentration difficulty, slowed thinking), paresthesia, gastrointestinal problems and decreased appetite/weight loss. TEAE incidence was significantly (p < 0.001) lower during Trokendi XR versus previous TPM-IR treatment.

Trokendi XR use and outcomes in clinical practice were consistent with established profile of topiramate. Results supported the potential for better tolerability of Trokendi XR versus TPM-IR.

The prevalence of obesity, measured by body mass index, has risen to unacceptable levels in both men and women in the United States and worldwide with resultant hazardous health implications. Genetic, environmental, and behavioral factors influence the development of obesity, and both the general public and health professionals stigmatize those who suffer from the disease. Obesity is associated with and contributes to a shortened life span, type 2 diabetes mellitus, cardiovascular disease, some cancers, kidney disease, obstructive sleep apnea, gout, osteoarthritis, and hepatobiliary disease, among others. Weight loss reduces all of these diseases in a dose-related manner-the more weight lost, the better the outcome. The phenotype of "medically healthy obesity" appears to be a transient state that progresses over time to an unhealthy phenotype, especially in children and adolescents. Weight loss is best achieved by reducing energy intake and increasing energy expenditure. Programs that are effective for weight loss include peer-reviewed and approved lifestyle modification programs, diets, commercial weight-loss programs, exercise programs, medications, and surgery. Over-the-counter herbal preparations that some patients use to treat obesity have limited, if any, data documenting their efficacy or safety, and there are few regulatory requirements. Weight regain is expected in all patients, especially when treatment is discontinued. When making treatment decisions, clinicians should consider body fat distribution and individual health risks in addition to body mass index.

We review recent studies discussing the impact of pharmacologic agents for weight loss on clinical cardiovascular events, as well as cardiometabolic risk factors.

Pharmacotherapy with current FDA-approved medications for weight loss can significantly improve known risk factors for the development of cardiovascular disease such as hypertension, hyperlipidemia, insulin resistance, inflammatory biomarkers, and the quantity of visceral fat, as well as non-alcoholic fatty liver disease. However, data regarding the actual reduction in clinical cardiovascular events with the use of weight loss medications is scarce. Pharmacotherapy for weight loss may have additional benefit in optimizing patient's cardiometabolic comorbidities and improving their clinical cardiovascular outcomes, but each drug should be carefully selected based upon individual patient characteristics.

Obesity is a serious and growing worldwide health challenge. Healthy lifestyle choices are the foundation of obesity treatment. However, weight loss can lead to physiological adaptations that promote weight regain. As a result, lifestyle treatment alone typically produces only modest weight loss that is difficult to sustain. In other metabolic diseases, pharmacotherapy is an accepted adjunct to lifestyle. Several anti-obesity drugs have been approved in the USA, European Union, Australia, and Japan including sympathomimetics, pancreatic lipase inhibitors, GABA_A receptor activators, a serotonin 2C receptor agonist, opioid antagonist, dopamine-norepinephrine reuptake inhibitor, and glucagon-like peptide-1 (GLP-1) receptor agonists. These drugs vary in their efficacy and side-effect profiles but all provide greater weight loss than do lifestyle changes alone. Even though obesity is widespread and associated with adverse health consequences, and anti-obesity drugs can help people to lose weight, very few patients use these drugs partly because of concerns about safety and efficacy, but also because of inadequate health insurance coverage. Despite great advances in our understanding of the biology of weight regulation, many clinicians still believe that patients with obesity should have the willpower to eat less. The tendency to hold the patient with obesity responsible for their condition can be a barrier to greater acceptance of anti-obesity drugs as appropriate options for treatment. Physicians should be comfortable discussing the risks and benefits of these drugs, and health insurance companies should provide reasonable coverage for their use in patients who are most likely to benefit. Although few promising anti-obesity medications are in the drug-development pipeline, the most promising drugs are novel molecules that are co-agonists for multiple gut hormones including GLP-1, glucagon, and gastric inhibitory peptide.