Obesity-related complications, healthcare resource use and weight loss strategies in six European countries: the RESOURCE survey.

BACKGROUND: Obesity-related complications (ORCs), such as type 2 diabetes (T2D) and cardiovascular disease, contribute considerably to the clinical and economic impacts of obesity. To obtain a holistic overview of health and weight management attempts for people with obesity in Europe, we designed the cross-sectional RESOURCE survey to collect data on comorbidities, healthcare resource use (HCRU) and weight loss strategies from people with obesity in France, Germany, Italy, Spain, Sweden and the UK. METHODS: Adults (≥18 years old) with self-reported body mass index (BMI) ≥30 kg/m2 who reported interacting with primary or secondary healthcare services in the past 12 months, but had not been pregnant during this time, were recruited from an existing consumer research panel. All data were self-reported via an online survey (May-June 2021). Weight changes over the past year were calculated from participants' estimated weights. RESULTS: Of the 1850 participants in the survey, 26.3% reported that they had ≥3 ORCs from a set of 15 conditions of interest. The most frequently reported ORCs were hypertension (39.3% of participants), dyslipidaemia (22.8%) and T2D (17.5%). Participants in obesity class III (BMI 40 to <70 kg/m2) were more likely to report multiple ORCs than those in lower obesity classes. The presence of multiple ORCs was linked to various types of HCRU, including a significantly increased chance of reporting hospitalization in the past year. Most participants (78.6%) had attempted to lose weight in the past year, but of those who also reported estimated weight changes, 73.4% had not experienced clinically meaningful weight loss of ≥5%. CONCLUSIONS: ORCs are common in people with obesity, and are linked to increased HCRU. Together with the low reported success rate of weight loss attempts, this highlights an unmet need in Europe for enhanced weight management support for people with obesity.

Real-world costs of obesity-related complications over eight years: a US retrospective cohort study in 28,500 individuals.

BACKGROUND: Obesity-related complications (ORCs) are associated with high costs for healthcare systems. We assessed the relationship between comorbidity burden, represented by both number and type of 14 specific ORCs, and total healthcare costs over time in people with obesity in the USA. METHODS: Adults (≥ 18 years old) identified from linked electronic medical records and administrative claims databases, with a body mass index measurement of 30-< 70 kg/m2 between 1 January 2007 and 31 March 2012 (earliest measurement: index date), and with continuous enrolment for ≥ 1 year pre index (baseline year) and ≥ 8 years post index, were included. Individuals were grouped by type and number of ORCs during the pre-index baseline year. The primary outcome was annual total adjusted direct per-person healthcare costs. RESULTS: Of 28,583 included individuals, 12,686 had no ORCs, 7242 had one ORC, 4180 had two ORCs and 4475 had three or more ORCs in the baseline year. Annual adjusted direct healthcare costs increased with the number of ORCs and over the 8-year follow-up. Outpatient costs were the greatest contributor to baseline annual direct costs, irrespective of the number of ORCs. For specific ORCs, costs generally increased gradually over the follow-up; the largest percentage increases from year 1 to year 8 were observed for chronic kidney disease (+ 78.8%) and type 2 diabetes (+ 47.8%). CONCLUSIONS: In a US real-world setting, the number of ORCs appears to be a cost driver in people with obesity, from the time of initial obesity classification and for at least the following 8 years.

Association between body mass index, weight loss and the chance of pregnancy in women with polycystic ovary syndrome and overweight or obesity: a retrospective cohort study in the UK.

STUDY QUESTION: What are the associations between baseline BMI (Study 1) and change in body weight (Study 2) with the likelihood of pregnancy in women with polycystic ovary syndrome (PCOS). SUMMARY ANSWER: In women with PCOS, higher baseline BMI was associated with a lower chance of pregnancy; however, weight loss was associated with an increased chance of pregnancy versus maintaining a stable weight or gaining weight. WHAT IS KNOWN ALREADY: Two studies in large cohorts of Danish women with the intention to become pregnant showed a decline in fecundability ratios with higher BMI. Furthermore, a meta-analysis found that overweight/obesity significantly worsened metabolic and reproductive outcomes in women with PCOS. STUDY DESIGN, SIZE, DURATION: Data were extracted from the UK Clinical Practice Research Datalink GOLD database. Patients included women aged 18-45 years with BMI ≥18.5 (Study 1) or ≥25 kg/m2 (Study 2) at time of PCOS diagnosis (index date). The primary outcome was the time to first pregnancy recorded during 36-months' follow-up, analysed with Cox proportional hazard models and presented as hazard ratios (HRs). PARTICIPANTS/MATERIALS, SETTING, METHODS: Study 1 included 9955 women with PCOS. Study 2 included 7593 women with PCOS and median BMI of 34.0 kg/m2. MAIN RESULTS AND THE ROLE OF CHANCE: Higher BMI was associated with a lower chance of pregnancy in the 3 years following diagnosis. It was estimated that 41% of women with normal weight (18.5-24.9 kg/m2) would become pregnant compared to 17% of women with obesity class III (BMI ≥40.0 kg/m2) during follow-up. Furthermore, the chance of pregnancy for women with obesity class III was estimated to be 63% lower than for women with normal weight, with the same age and glycaemic status (HR 0.37, 95% CI 0.31-0.44; P < 0.0001). A significant inverse association was found between BMI change and chance of pregnancy: 10% weight loss was estimated to increase the chance of pregnancy by 68% for women with baseline BMI of 40 kg/m2 (HR 1.68, 95% CI 1.49-1.90). LIMITATIONS, REASONS FOR CAUTION: Multiple factors influence the chance of pregnancy (the ability and willingness to become pregnant), which was addressed by exclusion criteria employed. The real-world nature of the study means that use of non-prescription contraceptives was not available. Bias may have been introduced by the fact that only around 40% of women with PCOS in the CPRD GOLD database had their BMI recorded during the year prior to PCOS diagnosis. BMI categories used in the analyses may not be applicable to women of all ethnicities. The study population was only representative of women in the UK and results may not be generalizable to other regions. PCOS diagnoses were based on codes entered into the system by primary care providers, and no information was available regarding the criteria used for diagnosis, although symptoms used to diagnose PCOS have not changed over time. WIDER IMPLICATIONS OF THE FINDINGS: Our observations provide further evidence of the benefits of weight loss in women with overweight/obesity and PCOS who are seeking to become pregnant. STUDY FUNDING/COMPETING INTEREST(S): Novo Nordisk A/S. A.H.B. declares fees for consultancy from Novo Nordisk. P.N.L. and C.L.H. are employees of Novo Nordisk. V.S. and A.V. are employees of, and hold shares in, Novo Nordisk. TRIAL REGISTRATION NUMBER: N/A.

Eight-year trends in obesity-related complications and health care cost progression in a US population with obesity: A retrospective cohort study.

AIMS: Obesity-related complications (ORCs) impose a substantial health burden on affected individuals, and economic costs to health care systems. We examined ORCs and the progression of direct health care costs over 8 years, stratified by obesity class. MATERIALS AND METHODS: Adults with obesity were identified in linked US medical records and administrative claims databases. The index date was the first body mass index measurement of 30 to <70 kg/m2 between 1 January 2007 and 31 March 2012; a ≥8-year continuous enrolment post-index was required for inclusion. Diagnosis codes for five specific ORCs and total health care costs were recorded in each year of follow-up. Costs adjusted for clinical and demographic factors were also estimated. RESULTS: Of 28 583 eligible individuals, 17 892 had class I obesity, 6550 had class II obesity and 4141 had class III obesity. From baseline to year 8, the presence of type 2 diabetes and knee osteoarthritis doubled in all obesity classes, with even larger increases for chronic kidney disease and heart failure. Observed and adjusted total health care costs generally increased from the baseline year to year 8. The difference in costs between obesity classes increased over time: at year 1, individuals with class III obesity had 26.8% higher costs than those in class I, but at year 8, this difference was 40.7%. Outpatient costs constituted half of the total observed costs across obesity classes. CONCLUSIONS: ORC rates and health care costs increase over time, and are greater in higher obesity classes. This could be mitigated by approaches that limit obesity progression.

Association between weight loss and health care resource utilization in adults living with obesity: Evidence from a UK primary care database.

AIMS: We investigated the impact of intentional weight loss on health care resource utilization (HCRU) and costs among people with obesity. MATERIALS AND METHODS: This retrospective, observational cohort study used data from the Clinical Practice Research Datalink (CPRD) GOLD database. Adults >18 years at index date [first recorded body mass index (BMI) of 30-50 kg/m2 between 2006 and 2015 with a further BMI record 4 years later] were assigned to an intentional weight loss cohort (-25% to -10% BMI change) or a stable weight cohort (-3% to +3%), based on their BMI change during a 4-year baseline period from index date. Evidence of intention to lose weight during the baseline period was required. Linked Hospital Episode Statistics datasets captured HCRU and costs over an 8-year follow-up period. Mixed effects models adjusted for demographics, total costs during baseline and baseline comorbidities were used. RESULTS: Baseline characteristics were similar between cohorts with weight loss (n = 8676) and stable weight (n = 44 519). Over follow-up, the weight loss cohort experienced a significantly lower mean annual increase in total costs [2.1% (95% confidence interval: 1.3-2.8)] than the stable weight cohort [4.3% (95% confidence interval: 4.0-4.6); p < .0001]. Weight loss was associated with a lower mean annual increase in multiple HCRU and cost components compared with maintaining a stable high weight. CONCLUSIONS: Our findings suggest that intentional weight loss of 10-25% is associated with lower HCRU and costs in the long term among individuals living with obesity, relative to stable weight.

Weight change and risk of obesity-related complications: A retrospective population-based cohort study of a UK primary care database.

AIMS: To examine associations between weight loss/gain and risk of developing 13 obesity-related complications (ORCs), stratified by baseline body mass index (BMI). MATERIALS AND METHODS: In this retrospective cohort study, we included adults with obesity (>30 kg/m2 ) from the UK Clinical Practice Research Datalink GOLD database with weight change (-50% to +50%) between Years 1 and 4 (N = 418 774 [median follow-up: 7 years]). Associations between weight change, baseline BMI and risk of developing ORCs during follow-up were assessed using Cox proportional hazard models. RESULTS: The impact of weight change on ORCs was generally dependent on baseline BMI. Four clear patterns were seen across the 13 outcomes. Pattern 1 showed greatest weight loss benefit for people with low baseline BMI (type 2 diabetes, sleep apnoea, hypertension and dyslipidaemia); Pattern 2 showed most weight loss benefit at lower baseline BMI but no significant weight loss effect at higher baseline BMI (asthma, hip/knee osteoarthritis and polycystic ovary syndrome); Pattern 3 showed benefit in most cardiovascular diseases with weight loss (chronic kidney disease, heart failure, atrial fibrillation and venous thromboembolism), but no additional benefit with >10% weight loss; Pattern 4 showed no clear relationship between weight change and unstable angina/myocardial infarction and depression. We found similar but opposite patterns for weight gain. CONCLUSIONS: Weight loss benefit is dependent on weight loss magnitude and initial BMI, and weight gain is associated with a similar risk increase. Four patterns of association were identified between degree of weight change, baseline BMI and 13 ORCs.

Weight loss and risk reduction of obesity-related outcomes in 0.5 million people: evidence from a UK primary care database.

High body mass index (BMI) is known to be associated with various conditions, including type 2 diabetes (T2D), osteoarthritis, cardiovascular disease (CVD) and sleep apnoea; however, the impact of intentional weight loss on the risk of these and other outcomes is not well quantified. We examined the effect of weight loss on ten selected outcomes in a population from the UK Clinical Practice Research Datalink (CPRD) GOLD database. Included individuals were >18 years old at the index date (first BMI value between January 2001 and December 2010). They were categorised by their weight pattern between year 1 post-index and year 4 post-index (baseline period) as having stable weight (-5% to +5%) or weight loss (-25% to -10%, plus evidence of intervention or dietary advice to confirm intention to lose weight). For inclusion, individuals also required a BMI of 25.0-50.0 kg/m2 at the start of the follow-up period, during which the occurrence of ten obesity-related outcomes was recorded. Cox proportional hazard models adjusted for BMI, comorbidities, age, sex and smoking status were used to estimate relative risks for weight loss compared with stable weight. Individuals in the weight-loss cohort had median 13% weight loss. Assuming a BMI of 40 kg/m2 before weight loss, this resulted in risk reductions for T2D (41%), sleep apnoea (40%), hypertension (22%), dyslipidaemia (19%) and asthma (18%). Furthermore, weight loss was associated with additional benefits, with lower risk of T2D, chronic kidney disease, hypertension and dyslipidaemia compared with maintaining the corresponding stable lower BMI throughout the study. This study provides objective, real-world quantification of the effects of weight loss on selected outcomes, with the greatest benefits observed for the established CVD risk factors T2D, hypertension and dyslipidaemia.

Use of Liraglutide 3.0 mg for Weight Management in a Real-World Setting in Switzerland.

INTRODUCTION: Data from randomized controlled trials show that liraglutide 3.0 mg, in combination with diet and exercise, is associated with greater weight loss than diet and exercise alone in patients with obesity. In practice, the utilization of weight loss drugs is influenced by various factors, including the cost of treatment. We conducted a retrospective, observational study to assess the effectiveness of liraglutide 3.0 mg and patients' persistence on treatment, in a real-world setting. METHODS: Data were extracted from de-identified electronic medical records from an obesity management clinic in Switzerland. Changes in body weight and blood pressure were evaluated in the full cohort (N = 277, 19% of whom had undergone bariatric surgery) and subgroups who were persistent on liraglutide 3.0 mg for at least 4 months (n = 236), 7 months (n = 159), or 12 months (n = 71). RESULTS: Median persistence on liraglutide was 6.8 months. Median maximum dose received was 1.5 mg, and 13.7% of patients reached the maintenance dose of 3.0 mg. Mean 7-month weight change from baseline in the full cohort was -4.1 kg (95% confidence interval: -5.0, -3.2; p < 0.001; -4.2%). Weight change was -4.4 kg (-4.7%) in the ≥4-month persistence subgroup at 4 months, -5.1 kg (-5.3%) in the ≥7-month persistence subgroup at 7 months, and -7.5 kg (-7.1%) in the ≥12-month persistence subgroup at 12 months (all p < 0.001). In the full cohort, 40% and 14% of patients lost ≥5% and >10% of body weight at 7 months, respectively. Weight loss did not differ significantly according to history of bariatric surgery (p = 0.94). Diastolic blood pressure decreased (from 87.0 to 83.9 mm Hg at 7 months; p = 0.018), with no significant changes in systolic blood pressure. Approximately two-thirds of patients did not have health insurance that could cover the cost of liraglutide. CONCLUSION: In a real-world setting with low insurance coverage and with most patients not reaching the recommended maintenance dose of 3.0 mg, the use of liraglutide, in combination with diet and exercise, was associated with clinically meaningful weight loss.

Obesity, cardiovascular risk and healthcare resource utilization in the UK.

AIMS: Obesity and cardiovascular diseases (CVDs) often co-occur, likely increasing the intensity of healthcare resource utilization (HCRU). This retrospective, observational database study examined the joint effect of obesity and cardiovascular risk status on HCRU and compared HCRU between body mass index (BMI) categories and CVD-risk categories in the UK. METHODS: Patient demographics and data on CVD and BMI were obtained from the UK Clinical Practice Research Datalink. Cardiovascular risk status, calculated using the Framingham Risk Equation, was used to categorize people into high-risk and low-risk groups, while a CVD diagnosis was used to define the established CVD group. Patients were split into BMI categories using the standard World Health Organization classifications. For each CVD and BMI category, mean number and costs of general practitioner contacts, hospital admissions and prescriptions were estimated. RESULTS: The final study population included 1,600,709 patients. Data on CVD status were available on just over one-quarter of the sample (28.6%) and BMI data for just less than half (43.2%). The number of general practitioner contacts and prescriptions increased with increasing BMI category for each of the three CVD-risk groups. The group with established CVD had the greatest utilization of all components of healthcare resource, followed by high CVD risk then low CVD-risk groups. CONCLUSION: Increasing BMI category and CVD-risk status both affected several HCRU components. These findings highlight the importance of timely obesity management and treatment of CVD-risk factors as a means of preventing increasing HCRU.

A comprehensive descriptive assessment of obesity related chronic morbidity and estimated annual cost burden from a population-based electronic health record database.

BACKGROUND: The growing prevalence of obesity and its complications pose a huge burden on the individual and health care systems worldwide. This study presents the frequency of multiple prevalent co-morbidities and estimated annual cost burden by body mass index (BMI) groups, age, and sex among the Israeli adult population to provide policy makers with further evidence to appropriately target interventions. METHODS: This cross-sectional study utilized population-based electronic medical records from the largest payer-provider health fund in Israel. The population included individuals ≥25 years as of 01/01/2014. A new approach assessing body system-related morbidity (BSRM) prevalence was assessed along with estimated annual cost burden for the year 2015 and presented across BMI group, age, and sex via heat maps. RESULTS: Among 1,756,791 adults, 65% had an elevated BMI (BMI > 25 kg/m2). Heat map analysis demonstrated a higher multi-BSRM prevalence and relative estimated annual cost burden among participants with obesity in all age groups. There was a notably higher multi-BSRM prevalence among men and women aged 25-29 with class III obesity (26 and 30%, respectively) compared to the corresponding BMI groups between 18·5- < 25 kg/m2 (5 and 9%, respectively). Healthcare costs were 1·72 times higher among men aged 25-29 with class III obesity and 2·75 times among women aged 25-29 with class III obesity compared to those of healthy weight. CONCLUSIONS: The detailed analysis describes the uneven distribution of burdens across BMI groups, age, and sex allowing policy makers to identify sub-populations for targeted interventions.

Persistence of newer anti-obesity medications in a real-world setting.

AIMS: Evaluate real-world data on persistence with anti-obesity medications (AOMs) and explore associated patient factors. METHODS: 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. RESULTS: 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. CONCLUSIONS: In a real-world setting, patients on liraglutide 3.0 mg had the highest persistence rate of the four AOMs studied.

Weight loss experiences and willingness to intervention with pharmacotherapy among obese and very obese Danish people.

OBJECTIVES: Obesity is a growing issue with increasing impact on healthcare budgets, yet very little is known about weight loss experiences of people with body mass index (BMI)≥30kg/m(2) and their willingness to try and pay for weight loss interventions (WLI). The objective of this survey was to gather knowledge about weight loss experiences among obese and severely obese people. METHODS: 1,003 Danish people >18 years of age with BMI≥30 who wanted to lose weight completed an online survey. Data included demographics, experience with WLI, awareness of anti-obesity medication (AOM), and willingness to try and pay for WLI including AOM. RESULTS: Respondents had been trying to lose weight for several years (medium [25% percentile;75% percentile]);5.1[2.0;10.3] years (BMI 30-35) and 10.0 [5.0;20.0] (very obese (BMI>35) with co-morbidities (OWC). The desired weight loss was 20.0 [15.0;25.0] kg (BMI 30-35) and 35.0 [28.0;47.5] kg (OWC). Independent of educational level and gender, health concern was the main incentive for weight loss. Several WLI had been tried repeatedly, yet 60% of respondents with BMI 30-35 and 50% of the OWC were unaware of AOM. Among those who had tried AOM, side effects and lack of effectiveness were the main reasons to stop. 50-73% were willing to try AOM dependent on expected weight loss. Willingness to try and pay for new AOM was strongest for the OWC. CONCLUSION: Respondents had made repeated attempts for up to a decade to lose weight, yet remained far from their ideal weight. They had spent a substantial amount of money on WLI, had limited information of AOM, and indicated a desire for increased professional support.