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Abstract Background Propionic acidemia is an inherited disorder caused by deficiency of propionyl-CoA carboxylase. Although it is one of the most frequent organic acidurias, information on the outcome of affected individuals is still limited. Study design/methods Clinical and outcome data of 55 patients with propionic acidemia from 16 European metabolic centers were evaluated retrospectively. 35 patients were diagnosed by selective metabolic screening while 20 patients were identified by newborn screening. Endocrine parameters and bone age were evaluated. In addition, IQ testing was performed and the patients’ and their families’ quality of life was assessed. Results The vast majority of patients (>85%) presented with metabolic decompensation in the neonatal period. Asymptomatic individuals were the exception. About three quarters of the study population was mentally retarded, median IQ was 55. Apart from neurologic symptoms, complications comprised hematologic abnormalities, cardiac diseases, feeding problems and impaired growth. Most patients considered their quality of life high. However, according to the parents’ point of view psychic problems were four times more common in propionic acidemia patients than in healthy controls. Conclusion Our data show that the outcome of propionic acidemia is still unfavourable, in spite of improved clinical management. Many patients develop long-term complications affecting different organ systems. Impairment of neurocognitive development is of special concern. Nevertheless, self-assessment of quality of life of the patients and their parents yielded rather positive results.

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/m 2 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., (© 2023 The Authors. Diabetes, Obesity and Metabolism published by John Wiley & Sons Ltd.)

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/m 2 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., (© 2023. The Author(s).)

Objective: To compare clinical features of patients with obesity-related heart failure (HF) with preserved ejection fraction (HFpEF) with those of patients with similar body mass index (BMI) but no HF and to examine the association between degree of obesity and risk for hospitalizations., Methods: This was a retrospective analysis of 22,750 adults from a large US electronic health care data set (January 1, 2012, through July 31, 2019), including 4975 with HFpEF. Baseline characteristics were compared between patients with HFpEF and a control group matched on BMI, age, sex, and year of BMI record. Risk of first hospitalization was analyzed in the HFpEF sample with negative binomial and Cox proportional hazards models, adjusted for baseline comorbidities., Results: Compared with controls without HF matched on BMI, age, sex, and year of BMI record, patients with HFpEF displayed worse kidney function, greater estimated plasma volume, and more cardiovascular comorbidities. Within the HFpEF cohort, patients with higher degree of obesity were younger and had fewer concomitant cardiovascular comorbidities than those with lower degree of obesity. The mean number of HF-related hospitalizations increased with higher degree of obesity (9.6 to 15.7/100 patient-years; P=.002), but higher degree of obesity was not associated with increased risk of non-HF-related hospitalizations., Conclusion: Among persons with obesity, increasing cardiorenal dysfunction and volume overload differentiate those with HFpEF. Among persons with established HFpEF, those with higher degree of obesity are younger and have fewer cardiovascular comorbidities but display a unique increased risk of HF-related hospitalizations, even as risk for other hospitalizations is not different., (Copyright © 2023 Mayo Foundation for Medical Education and Research. Published by Elsevier Inc. All rights reserved.)

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/m 2 ) 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., (© 2023 The Authors. Diabetes, Obesity and Metabolism published by John Wiley & Sons Ltd.)

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/m 2 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/m 2 ) 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., (© 2023. The Author(s).)

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., (© The Author(s) 2023. Published by Oxford University Press on behalf of European Society of Human Reproduction and Embryology.)

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/m 2 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., (© 2022 John Wiley & Sons Ltd.)

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., (Published on behalf of the European Society of Cardiology. All rights reserved. © The Author(s) 2020. For permissions, please email: journals.permissions@oup.com.)

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/m 2 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/m 2 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.

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., (© 2021 The Author(s). Published by S. Karger AG, Basel.)

Objective: Obesity rates in the United Kingdom are some of the highest in Western Europe, with considerable clinical and societal impacts. Obesity is associated with type 2 diabetes (T2D), osteoarthritis, cardiovascular disease, and increased mortality; however, relatively few studies have examined the occurrence of multiple obesity-related outcomes in the same patient population. This study was designed to examine the associations between body mass index (BMI) and a broad range of obesity-related conditions in the same large cohort from a UK-representative primary care database., Methods: Demographic data and diagnosis codes were extracted from the Clinical Practice Research Datalink GOLD database in January 2019. Adults registered for ≥ 3 years were grouped by BMI, with BMI 18.5-24.9 kg/m 2 as reference group. Associations between BMI and 12 obesity-related outcomes were estimated using Cox proportional hazard models, adjusted for age, sex, and smoking., Results: More than 2.9 million individuals were included in the analyses and were followed up for occurrence of relevant outcomes for a median of 11.4 years during the study period. Generally, there was a stepwise increase in risk of all outcomes with higher BMI. Individuals with BMI 40.0-45.0 kg/m 2 were at particularly high risk of sleep apnea (hazard ratio [95% confidence interval] vs. reference group: 19.8 [18.9-20.8]), T2D (12.4 [12.1-12.7]), heart failure (3.46 [3.35-3.57]), and hypertension (3.21 [3.15-3.26])., Conclusions: This study substantiates evidence linking higher BMI to higher risk of a range of serious health conditions, in a large, representative UK cohort. By focusing on obesity-related conditions, this demonstrates the wider clinical impact and the healthcare burden of obesity, and highlights the vital importance of management, treatment approaches, and public health programs to mitigate the impact of this disease., Competing Interests: Christiane L. Haase, Kirsten T. Eriksen, Sandra Lopes, Altynai Satylganova and Volker Schnecke are employees of Novo Nordisk A/S. Altynai Satylganova and Sandra Lopes are also shareholders of Novo Nordisk A/S. Phil McEwan is an employee of Health Economics and Outcomes Research Ltd. Phil McEwan did not receive funding for this collaboration. HEOR Ltd have received funding from Novo Nordisk A/S for work conducted on previous studies., (© 2020 The Authors. Obesity Science & Practice published by World Obesity and The Obesity Society and John Wiley & Sons Ltd.)

Objective: Previous studies using longitudinal weight data to characterize obesity are based on populations of limited size and mostly include individuals of all body mass index (BMI) levels, without focusing on weight changes among people with obesity. This study aimed to identify BMI trajectories over 5 years in a large population with obesity, and to determine the trajectories' association with mortality., Methods: For inclusion, individuals aged 30-74 years at index date (1 January 2013) with continuous membership in Clalit Health Services from 2008 to 2012 were required to have ≥1 BMI measurement per year in ≥3 calendar years during this period, of which at least one was ≥30 kg/m 2 . Latent class analysis was used to generate BMI trajectories over 5 years (2008-2012). Cox proportional hazards models were used to assess the association between BMI trajectories and all-cause mortality during follow-up (2013-2017)., Results: In total, 367,141 individuals met all inclusion criteria. Mean age was 57.2 years; 41% were men. The optimal model was a quadratic model with four classes of BMI clusters. Most individuals (90.0%) had stable high BMI over time. Individuals in this cluster had significantly lower mortality than individuals in the other trajectory clusters ( p  < 0.01), including clusters of people with dynamic weight trajectories., Conclusions: The results of the current study show that people with stable high weight had the lowest mortality of all four BMI trajectories identified. These findings help to expand the scientific understanding of the impact that weight trajectories have on health outcomes, while demonstrating the challenges of discerning the cumulative effects of obesity and weight change, and suggest that dynamic historical measures of BMI should be considered when assessing patients' future risk of obesity-related morbidity and mortality, and when choosing a treatment strategy., Competing Interests: Christiane Lundegaard Haase, Nick Finer and Altynai Satylganova are employees of Novo Nordisk A/S, and Nick Finer and Altynai Satylganova are shareholders of Novo Nordisk A/S. Morton Leibowitz is an employee of Clalit Research Institute. Orna Reges was an employee of Clalit Research Institute at the time of the analysis and is now a post‐doctoral research fellow at the Northwestern University, Chicago. Tomas Karpati was an employee of Clalit Research Institute at the time of the analysis and is now an employee of the Holon Institute of Technology. Dror Dicker is an employee of Hasharon Hospital, Petach Tikva, and Tel Aviv University. Becca Feldman was an employee of Clalit Research Institute at the time the analyses were conducted., (© 2020 The Authors. Obesity Science & Practice published by World Obesity and The Obesity Society and John Wiley & Sons Ltd.)

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/m 2 ). 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/m 2 (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.

Objective: Liraglutide 3.0 mg is associated with clinically significant weight loss in clinical trials, but real-world data are lacking. In this analysis, weight loss and persistence outcomes with liraglutide 3.0 mg were assessed across obesity classes, in a real-world clinical setting., Methods: Secondary analysis of an observational, retrospective study of liraglutide 3.0 mg for weight management (as adjunct to diet and exercise) at six Wharton Medical Clinics in Canada. Patients were categorized by body mass index (BMI, kg/m 2 ) into obesity class I (BMI 30-34.9); class II (BMI 35-39.9); and class III (BMI ≥40). Change in weight, categorical weight loss, time to maintenance dose (defined as the time to reach the full liraglutide 3.0 mg maintenance dose) and persistence were assessed for each class and for differences between classes., Results: Of 308 patients, 70 (22.7%) had obesity class I, 83 (26.9%) obesity class II and 155 (50.3%) obesity class III. Similar percentage change in weight was observed between obesity classes (mean [standard deviation, SD]: -7.0% [6.0], -6.6% [6.0] and -6.1% [5.0], respectively; p = .640), and similar proportions achieved ≥5% weight loss (60.4%, 62.0% and 55.3%, respectively; p = .717) at 6 months. Mean time to maintenance dose (SD) was 64.2 (56.4) d, 76.4 (56.3) d and 71.4 (54.5) d for obesity classes I, II and III, respectively ( p = .509). Persistence with medication was also similar between obesity classes ( p = .358)., Conclusions: These findings suggest that real-world treatment with liraglutide 3.0 mg, regardless of obesity class, is associated with similar clinically significant weight loss, time to maintenance dose and medication persistence., Competing Interests: S.W.: owner and medical director of the Wharton Medical Clinic (WMC) and internal medicine specialist at Hamilton Health Sciences. He has previously received funding in the forms of grants for research from CIHR and Mitacs and also received funding in the past from Novo Nordisk, Bausch Health, Eli Lilly, Janssen and AstraZeneca for advisory work.C.L.H.: employee of Novo Nordisk A/S, Copenhagen, Denmark.E.K.: research coordinator at WMC and a member of this working group.A.L.: employee of Novo Nordisk Canada Inc.J.M.: employee of IQVIA Solutions Canada Inc., responsible for the study (management, analysis and dissemination).D.N.: employee of IQVIA Solutions Canada Inc., responsible for the study (management, analysis and dissemination).A.P.: employee of Novo Nordisk A/S, Copenhagen, Denmark.G.S.P.: employee of IQVIA Solutions Canada Inc., responsible for the study (management, analysis and dissemination).R.A.G.C. was an employee of WMC at the time of this study and is a member of this working group., (© 2020 The Authors. Obesity Science & Practice published by World Obesity and The Obesity Society and John Wiley & Sons Ltd.)

Objective: 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., Methods: Overall persistence was assessed, as well as associations of enrollment in SaxendaCare®, persistence and weight loss., Results: 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)., Conclusions: 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., Competing Interests: Sean Wharton: owner and medical director of the Wharton Medical Clinic (WMC), and internal medicine specialist at Hamilton Health Sciences. He has previously received research grants from Canadian Institutes of Health Research (CIHR) and Mitacs; previous funding from Novo Nordisk, Bausch Health, Eli Lilly, Janssen and AstraZeneca for advisory work.Christiane Lundegaard Haase: employee of Novo Nordisk A/S.Elham Kamran: research coordinator at WMC, and a member of this working group.Aiden Liu: employee of Novo Nordisk Canada Inc.Johanna Mancini: employee of IQVIA Solutions Canada Inc.Drew Neish: employee of IQVIA Solutions Canada Inc.Arash Pakseresht: employee of Novo Nordisk A/S.G. Sarah Power: employee of IQVIA Solutions Canada Inc.Rebecca A.G. Christensen: employee of WMC at the time of this study., (© 2020 The Authors. Obesity Science & Practice published by World Obesity and The Obesity Society and John Wiley & Sons Ltd.)

Objective: Real-world clinical effectiveness of liraglutide 3.0 mg, in combination with diet and exercise, was investigated 4 and 6 months post initiation. Changes in absolute and percent body weight were examined from baseline., Methods: A cohort of liraglutide 3.0 mg initiators in 2015 and 2016 was identified from six Canadian weight-management clinics. Post initiation values at 4 and 6 months were compared with baseline values using a paired t test., Results: The full cohort consisted of 311 participants, with 210 in the ≥ 4-month persistence group and 167 in the ≥ 6-month persistence group. Average baseline BMI was 40.7 kg/m 2 , and weight was 114.8 kg. There was a significant change in body weight 6 and 4 months after initiation of treatment in persistent subjects (≥ 6-month: -8.0 kg, P < 0.001; ≥ 4-month: -7.0 kg, P < 0.001) and All Subjects, regardless of persistence (-7.3 kg; P < 0.001). Percentage change in body weight from baseline was -7.1% in the ≥ 6-month group and -6.3% in the ≥ 4-month group, and All Subjects lost 6.5% body weight. Of participants in the ≥ 6-month group, 64.10% and 34.5% lost ≥ 5% and > 10% body weight, respectively., Conclusions: In a real-world setting, liraglutide 3.0 mg, when combined with diet and exercise, was associated with clinically meaningful weight loss., (© 2019 The Authors. Obesity published by Wiley Periodicals, Inc. on behalf of The Obesity Society (TOS).)

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., (Copyright © 2018 Elsevier B.V. All rights reserved.)

Objective: We investigated the association of early achieved HbA 1c level and magnitude of HbA 1c reduction with subsequent risk of cardiovascular events or death in patients with type 2 diabetes who initiate metformin., Research Design and Methods: This was a population-based cohort study including all metformin initiators with HbA 1c tests in Northern Denmark, 2000-2012. Six months after metformin initiation, we classified patients by HbA 1c achieved (<6.5% or higher) and by magnitude of HbA 1c change from the pretreatment baseline. We used Cox regression to examine subsequent rates of acute myocardial infarction, stroke, or death, controlling for baseline HbA 1c and other confounding factors., Results: We included 24,752 metformin initiators (median age 62.5 years, 55% males) with a median follow-up of 2.6 years. The risk of a combined outcome event gradually increased with rising levels of HbA 1c achieved compared with a target HbA 1c of <6.5%: adjusted hazard ratio (HR) 1.18 (95% CI 1.07-1.30) for 6.5-6.99%, HR 1.23 (1.09-1.40) for 7.0-7.49%, HR 1.34 (1.14-1.57) for 7.5-7.99%, and HR 1.59 (1.37-1.84) for ≥8%. Results were consistent for individual outcome events and robust by age-group and other patient characteristics. A large absolute HbA 1c reduction from baseline also predicted outcome: adjusted HR 0.80 (0.65-0.97) for Δ = -4, HR 0.98 (0.80-1.20) for Δ = -3, HR 0.92 (0.78-1.08) for Δ = -2, and HR 0.99 (0.89-1.10) for Δ = -1 compared with no HbA 1c change (Δ = 0)., Conclusions: A large initial HbA 1c reduction and achievement of low HbA 1c levels within 6 months after metformin initiation are associated with a lower risk of cardiovascular events and death in patients with type 2 diabetes., (© 2017 by the American Diabetes Association.)

Aims: To examine the usage and real-life effectiveness of intensification therapies in people with Type 2 diabetes treated with basal insulin., Methods: We used population-based healthcare databases in Denmark during 2000-2012 to identify all individuals with a first basal insulin prescription (with or without oral drugs), and evaluated subsequent intensification therapy with bolus insulin, premixed insulin or glucagon-like peptide-1 (GLP-1) receptor agonists. Poisson regression was used to compute the adjusted relative risks of reaching glycaemic control targets., Results: We included 7034 initiators of basal insulin (median age 64 years, diabetes duration 5.3 years, 84% with oral co-medication and median (interquartile range) pre-insulin HbA 1c level 77 (65-92) mmol/mol [9.2% (8.1-10.6%)]. Of these, 3076 (43.7%) received intensification therapy after a median of 11 months: 58.5% with premixed insulin, 29.0% with bolus insulin, 10.6% with GLP-1 receptor agonists, and 1.9% with more than one add-on. Overall, 22% had attained an HbA 1c level of < 53 mmol/mol (< 7%) by 3-6 months after intensification, while 38% attained an HbA 1c < 58 mmol/mol (< 7.5%). Compared with premixed insulin intensification, attainment of HbA 1c < 53 and < 58 mmol/mol was similar with bolus insulin add-on [adjusted relative risk 1.03 (95% CI 0.86-1.24) and 1.02 (95% CI 0.91-1.15), and higher for GLP-1 receptor agonist add-on [adjusted relative risk 1.56 (95% CI 1.27-1.92) and 1.27 (1.10-1.47)]., Conclusions: Among people with Type 2 diabetes, 22 and 38% reached a target HbA 1c < 53 mmol/mol (< 7%) or < 58 mmol/mol (< 7.5%), respectively, after intensification of their basal insulin therapy. Compared with premixed insulin, target attainment was similar with bolus insulin and higher with GLP-1 receptor agonists., (© 2016 Diabetes UK.)

Aims: To identify individual predictors of early glycaemic control in people with Type 2 diabetes mellitus after initiation of first glucose-lowering drug treatment in everyday clinical practice., Methods: Using medical registries, we identified a population-based cohort of people with a first-time glucose-lowering drug prescription in Northern Denmark in the period 2000-2012. We used Poisson regression analysis to examine patient-level predictors of success in reaching early glycaemic control [HbA 1c target of < 53 mmol/mol (7%)] < 6 months after treatment start., Results: Among the 38 418 people (median age 63 years), 27 545 (72%) achieved early glycaemic control. The strongest predictor of achieving early control was pre-treatment HbA 1c level; compared with a pre-treatment HbA 1c level of ≤ 58 mmol/mol (7.5%), the adjusted relative risks of attaining early control were 0.63 (95% CI 0.61-0.64) for baseline HbA 1c levels of > 58 and ≤ 75 mmol/mol (> 7.5 and ≤ 9%), and 0.58 (95% CI 0.57-0.59) for a baseline HbA 1c level of > 9% (> 75 mmol/mol). All other examined predictors were only weakly associated with the chance of achieving early control. After adjustment, the only characteristics that remained independently associated with early control (in addition to high baseline HbA 1c ) were being widowed (adjusted relative risk 0.95; 95% CI 0.93-0.97) and having a high Charlson comorbidity index score (score ≥ 3; adjusted relative risk 0.94; 95% CI 0.90-0.97)., Conclusions: In a real-world clinical setting, people with Type 2 diabetes mellitus initiating glucose-lowering medication had a similar likelihood of achieving glycaemic control, regardless of sex, age, comorbidities and other individual factors; the only strong and potentially modifiable predictor was HbA 1c before therapy start., (© 2016 Diabetes UK.)

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.

Aims/hypothesis: The aims of this work were to assess glycaemic control in metformin users receiving their first add-on glucose-lowering therapy and to examine the real-life effectiveness of different add-on drugs., Methods: We carried out a population-based cohort study using healthcare databases in northern Denmark during 2000-2012. We included 4,734 persons who initiated metformin monotherapy and added another glucose-lowering drug within 3 years. Attainment of recommended HbA1c goals within 6 months of add-on was investigated, using Poisson regression analysis adjusted for age, sex, baseline HbA(1c), diabetes duration, complications and Charlson Comorbidity Index., Results: Median metformin treatment duration at intensification was 12 months (interquartile range [IQR] 4-23 months) and pre-intensification HbA(1c) was 8.0% (IQR 7.2-9.2%) (64 [IQR 55-77] mmol/mol). Median HbA(1c) dropped 1.2% (13 mmol/mol) with a sulfonylurea (SU) add-on, 0.8% (9 mmol/mol) with a dipeptidyl peptidase-4 (DPP-4) inhibitor, 1.3% (14 mmol/mol) with a glucagon-like peptide-1 (GLP-1) receptor agonist, 0.9% (10 mmol/mol) with other non-insulin drugs and 2.4% (26 mmol/mol) with insulin. Compared with SU add-on, attainment of HbA(1c) <7% (<53 mmol/mol) was higher with GLP-1 receptor agonists (adjusted RR [aRR] 1.10; 95% CI 1.01, 1.19) and lower with DPP-4 inhibitors (aRR 0.94; 95% CI 0.89, 0.99), other drugs (aRR 0.86; 95% CI 0.77, 0.96) and insulin (aRR 0.88; 95% CI 0.77, 0.99). The proportion of metformin add-on users who attained HbA(1c) <7% (<53 mmol/mol) increased from 46% in 2000-2003 to 59% in 2010-2012, whereas attainment of HbA(1c) <6.5% (<48 mmol/mol) remained 30% among patients aged <65 years without comorbidities., Conclusions/interpretation: Among early type 2 diabetes patients receiving their first metformin add-on treatment, HbA(1c) reduction with different non-insulin drugs is similar to, and comparable with, that observed in randomised trials, yet 41% do not achieve HbA(1c) <7% (<53 mmol/mol) within 6 months.

Observationally, low levels of HDL cholesterol are consistently associated with increased risk of type 2 diabetes. Therefore, plasma HDL cholesterol increasing has been suggested as a novel therapeutic option to reduce the risk of type 2 diabetes. Whether levels of HDL cholesterol are causally associated with type 2 diabetes is unknown. In a prospective study of the general population (n = 47,627), we tested whether HDL cholesterol-related genetic variants were associated with low HDL cholesterol levels and, in turn, with an increased risk of type 2 diabetes. HDL cholesterol-decreasing gene scores and allele numbers associated with up to -13 and -20% reductions in HDL cholesterol levels. The corresponding theoretically predicted hazard ratios for type 2 diabetes were 1.44 (95% CI 1.38-1.52) and 1.77 (1.61-1.95), whereas the genetic estimates were nonsignificant. Genetic risk ratios for type 2 diabetes for a 0.2 mmol/L reduction in HDL cholesterol were 0.91 (0.75-1.09) and 0.93 (0.78-1.11) for HDL cholesterol-decreasing gene scores and allele numbers, respectively, compared with the corresponding observational hazard ratio of 1.37 (1.32-1.42). In conclusion, genetically reduced HDL cholesterol does not associate with increased risk of type 2 diabetes, suggesting that the corresponding observational association is due to confounding and/or reverse causation., (© 2015 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered.)

Aim: To examine real-life time trends in early glycaemic control in patients with type 2 diabetes between 2000 and 2012., Methods: We used population-based medical databases to ascertain the association between achievement of glycaemic control with initial glucose-lowering treatment in patients with incident type 2 diabetes in Northern Denmark. Success in reaching glycated haemoglobin (HbA1c) goals within 3-6 months was examined using regression analysis., Results: Of 38 418 patients, 91% started with oral glucose-lowering drugs in monotherapy. Metformin initiation increased from 32% in 2000-2003 to 90% of all patients in 2010-2012. Pretreatment (interquartile range) HbA1c levels decreased from 8.9 (7.6-10.7)% in 2000-2003 to 7.0 (6.5-8.1)% in 2010-2012. More patients achieved an HbA1c target of <7% (<53 mmol/mol) in 2010-2012 than in 2000-2003 [80 vs 60%, adjusted relative risk (aRR) 1.10, 95% confidence interval (CI) 1.08-1.13], and more achieved an HbA1c target of <6.5% [(<48 mmol/mol) 53 vs 37%, aRR 1.07 95% CI 1.03-1.11)], with similar success rates observed among patients aged <65 years without comorbidities. Achieved HbA1c levels were similar for different initiation therapies, with reductions of 0.8% (from 7.3 to 6.5%) on metformin, 1.5% (from 8.1 to 6.6%) on sulphonylurea, 4.0% (from 10.4 to 6.4%) on non-insulin combination therapies, and 3.8% (from 10.3 to 6.5%) on insulin monotherapy., Conclusions: Pretreatment HbA1c levels in patients with incident type 2 diabetes have decreased substantially, which is probably related to earlier detection and treatment in accordance with changing guidelines. Achievement of glycaemic control has improved, but 20% of patients still do not attain an HbA1c level of <7% within the first 6 months of initial treatment., (© 2015 John Wiley & Sons Ltd.)

Background: The aetiology of ischaemic heart disease (IHD) is complex and is influenced by a spectrum of environmental factors and susceptibility genes. Traditional statistical modelling considers such factors to act independently in an additive manner. The Patient Rule-Induction Method (PRIM) is a multi-model building strategy for evaluating risk attributable to context-dependent gene and environmental effects., Methods: PRIM was applied to 9073 participants from the prospective Copenhagen City Heart Study (CCHS). Gender-specific cumulative incidences were estimated for subgroups defined by categories of age, smoking, hypertension, diabetes, body mass index, total cholesterol, high-density lipoprotein cholesterol and triglycerides and by 94 single nucleotide variants (SNVs).Cumulative incidences for subgroups were validated using an independently ascertained sample of 58 240 participants from the Copenhagen General Population Study (CGPS)., Results: In the CCHS the overall cumulative incidences were 0.17 in women and 0.21 in men. PRIM identified six and four mutually exclusive subgroups in women and men, respectively, with cumulative incidences of IHD ranging from 0.02 to 0.34. Cumulative incidences of IHD generated by PRIM in the CCHS were validated in four of the six subgroups of women and two of the four subgroups of men in the CGPS., Conclusions: PRIM identified high-risk subgroups characterized by specific contexts of selected values of traditional risk factors and genetic variants. These subgroups were validated in an independently ascertained cohort study. Thus, a multi-model strategy may identify groups of individuals with substantially higher risk of IHD than the overall risk for the general population., (© The Author 2014; all rights reserved. Published by Oxford University Press on behalf of the International Epidemiological Association.)

Objectives: This study sought to investigate the role of secretory phospholipase A2 (sPLA2)-IIA in cardiovascular disease., Background: Higher circulating levels of sPLA2-IIA mass or sPLA2 enzyme activity have been associated with increased risk of cardiovascular events. However, it is not clear if this association is causal. A recent phase III clinical trial of an sPLA2 inhibitor (varespladib) was stopped prematurely for lack of efficacy., Methods: We conducted a Mendelian randomization meta-analysis of 19 general population studies (8,021 incident, 7,513 prevalent major vascular events [MVE] in 74,683 individuals) and 10 acute coronary syndrome (ACS) cohorts (2,520 recurrent MVE in 18,355 individuals) using rs11573156, a variant in PLA2G2A encoding the sPLA2-IIA isoenzyme, as an instrumental variable., Results: PLA2G2A rs11573156 C allele associated with lower circulating sPLA2-IIA mass (38% to 44%) and sPLA2 enzyme activity (3% to 23%) per C allele. The odds ratio (OR) for MVE per rs11573156 C allele was 1.02 (95% confidence interval [CI]: 0.98 to 1.06) in general populations and 0.96 (95% CI: 0.90 to 1.03) in ACS cohorts. In the general population studies, the OR derived from the genetic instrumental variable analysis for MVE for a 1-log unit lower sPLA2-IIA mass was 1.04 (95% CI: 0.96 to 1.13), and differed from the non-genetic observational estimate (OR: 0.69; 95% CI: 0.61 to 0.79). In the ACS cohorts, both the genetic instrumental variable and observational ORs showed a null association with MVE. Instrumental variable analysis failed to show associations between sPLA2 enzyme activity and MVE., Conclusions: Reducing sPLA2-IIA mass is unlikely to be a useful therapeutic goal for preventing cardiovascular events., (Copyright © 2013 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.)

Background: Epidemiologically, high-density lipoprotein (HDL) cholesterol levels associate inversely with risk of ischemic cardiovascular disease. Whether this is a causal relation is unclear., Methods: We studied 10,281 participants in the Copenhagen City Heart Study (CCHS) and 50,523 participants in the Copenhagen General Population Study (CGPS), of which 991 and 1,693 participants, respectively, had developed myocardial infarction (MI) by August 2010. Participants in the CCHS were genotyped for all six variants identified by resequencing lecithin-cholesterol acyltransferase in 380 individuals. One variant, S208T (rs4986970, allele frequency 4%), associated with HDL cholesterol levels in both the CCHS and the CGPS was used to study causality of HDL cholesterol using instrumental variable analysis., Results: Epidemiologically, in the CCHS, a 13% (0.21 mmol/liter) decrease in plasma HDL cholesterol levels was associated with an 18% increase in risk of MI. S208T associated with a 13% (0.21 mmol/liter) decrease in HDL cholesterol levels but not with increased risk of MI or other ischemic end points. The causal odds ratio for MI for a 50% reduction in plasma HDL cholesterol due to S208T genotype in both studies combined was 0.49 (0.11-2.16), whereas the hazard ratio for MI for a 50% reduction in plasma HDL cholesterol in the CCHS was 2.11 (1.70-2.62) (P(comparison) = 0.03)., Conclusion: Low plasma HDL cholesterol levels robustly associated with increased risk of MI but genetically decreased HDL cholesterol did not. This may suggest that low HDL cholesterol levels per se do not cause MI.

Rare genetic variants, identified by in-detail resequencing of loci, may contribute to complex traits. We used the apolipoprotein A-I gene (APOA1), a major high-density lipoprotein (HDL) gene, and population-based resequencing to determine the spectrum of genetic variants, the phenotypic characteristics of these variants, and how these results compared with results based on resequencing only the extremes of the apolipoprotein A-I (apoA-I) distribution. First, we resequenced APOA1 in 10,330 population-based participants in the Copenhagen City Heart Study. The spectrum and distribution of genetic variants was determined as a function of the number of individuals resequenced. Second, apoA-I and HDL cholesterol phenotypes were determined for nonsynonymous (NS) and synonymous (S) variants and were validated in the Copenhagen General Population Study (n = 45,239). Third, observed phenotypes were compared with those predicted using an extreme phenotype approach based on the apoA-I distribution. Our results are as follows: First, population-based resequencing of APOA1 identified 40 variants of which only 7 (18%) had minor allele frequencies >1%, and most were exceedingly rare. Second, 0.27% of individuals in the general population were heterozygous for NS variants which were associated with substantial reductions in apoA-I (up to 39 mg/dL) and/or HDL cholesterol (up to 0.9 mmol/L) and, surprisingly, 0.41% were heterozygous for variants predisposing to amyloidosis. NS variants associated with a hazard ratio of 1.72 (1.09-2.70) for myocardial infarction (MI), largely driven by A164S, a variant not associated with apoA-I or HDL cholesterol levels. Third, using the extreme apoA-I phenotype approach, NS variants correctly predicted the apoA-I phenotype observed in the population-based resequencing. However, using the extreme approach, between 79% (screening 0-1(st) percentile) and 21% (screening 0-20(th) percentile) of all variants were not identified; among these were variants previously associated with amyloidosis. Population-based resequencing of APOA1 identified a majority of rare NS variants associated with reduced apoA-1 and HDL cholesterol levels and/or predisposing to amyloidosis. In addition, NS variants associated with increased risk of MI., Competing Interests: The authors have declared that no competing interests exist.

Background: Pseudoxanthoma elasticum (PXE) is an autosomal recessive disease caused by loss-of-function mutations in ABCC6 and characterized by elastic calcification leading to dermal, ocular, and ischemic vascular disease. We tested the hypothesis that heterozygosity for R1141X, the most frequent PXE-causing mutation in Caucasians, associated with risk of ischemic vascular disease, as previous studies suggested 4- to 11-fold risk of ischemic heart disease (IHD) in heterozygotes., Methods and Results: We studied 10,276 persons from the general population, including 1985 with IHD and 989 with ischemic cerebrovascular disease (ICVD). We examined 45,603 individuals from a cross-sectional general population study, of whom 3738 had IHD and 2335 had ICVD. Finally, we compared 4851 patients with IHD and 625 patients with ICVD with, respectively, 4851 and 625 matched control subjects. We genotyped participants in all studies for ABCC6 R1141X. The frequency of R1141X was 0.6% in all populations studied. ABCC6 R1141X genotype was not associated with an increased risk of IHD, myocardial infarction, ICVD, or ischemic stroke. Furthermore, R1141X genotype did not interact with age on risk of the largest end point, IHD. Finally, R1141X genotype did not associate with variation in plasma levels of high-sensitivity C-reactive protein, fibrinogen, blood pressure, or lipid and lipoproteins in the general population., Conclusions: In 4 studies including 66 831 participants and 13 642 cases with ischemic vascular events, heterozygosity for ABCC6 R1141X did not associate with risk of IHD, myocardial infarction, ICVD, or ischemic stroke.

Objectives: To determine whether mutations in APOA1 affect levels of high-density lipoprotein (HDL) cholesterol and to predict risk of ischaemic heart disease (IHD) and total mortality in the general population., Background: Epidemiologically, risk of IHD is inversely related to HDL cholesterol levels. Mutations in apolipoprotein (apo) A-I, the major protein constituent of HDL, might be associated with low HDL cholesterol and predispose to IHD and early death., Design: We resequenced APOA1 in 190 individuals and examined the effect of mutations on HDL cholesterol, risk of IHD, myocardial infarction (MI) and mortality in 10 440 individuals in the prospective Copenhagen City Heart Study followed for 31 years. Results were validated in an independent case-control study (n = 16 035). Additionally, we determined plasma ratios of mutant to wildtype (WT) apoA-I in human heterozygotes and functional effects of mutations in adenovirus-transfected mice., Results: We identified a new mutation, A164S (1 : 500 in the general population), which predicted hazard ratios for IHD, MI and total mortality of 3.2 [95% confidence interval (CI): 1.6-6.5], 5.5 (95% CI: 2.6-11.7) and 2.5 (95% CI: 1.3-4.8), respectively, in heterozygotes compared with noncarriers. Mean reduction in survival time in heterozygotes was 10 years (P < 0.0001). Results for IHD and MI were confirmed in the case-control study. Furthermore, the ratio of mutant S164 to WT A164 apoA-I in plasma of heterozygotes was reduced. In addition, A164S heterozygotes had normal plasma lipid and lipoprotein levels, including HDL cholesterol and apoA-I, and this finding was confirmed in adenovirus-transfected mice., Conclusions: A164S is the first mutation in APOA1 to be described that predicts an increased risk of IHD, MI and total mortality without low HDL cholesterol levels., (© 2011 The Association for the Publication of the Journal of Internal Medicine.)

Context: Epidemiologically, levels of high-density lipoprotein (HDL) cholesterol and its major protein constituent, apolipoprotein A-I (apoA-I), are inversely related to risk of ischemic heart disease (IHD)., Objective: We tested whether common genetic variation in the apolipoprotein A1 gene (APOA1) contributes to apoA-I and HDL cholesterol levels and risk of IHD in the general population., Design: We resequenced the regulatory and coding regions of APOA1 in 190 individuals from the Copenhagen City Heart Study with the lowest 1% (n=95) and highest 1% (n=95) apoA-I levels. Two single-nucleotide polymorphisms (SNPs) were subsequently genotyped in the Copenhagen City Heart Study (n=10,273) and in 2361 cases with IHD (the Copenhagen Ischemic Heart Disease Study)., Results: In total, 13 genetic variants were identified. Three SNPs, g.-560A→C, g.-151C→T, and *181A→G, determined a haplotype that differed between high and low apoA-I groups (6 vs. 1%, P=0.002). Genotype combinations of two SNPs, the g.-560A→C (tagging the g.-560A→C/g.-151C→T/*181A→G haplotype) and g.-310G→A (situated near a potential functional promoter site), were associated with increases in apoA-I and HDL cholesterol levels of up to 6.6 and 8.5%, respectively, resulting in theoretically predicted reductions in risk of 9 and 8% for IHD and 14 and 12% for myocardial infarction (MI). Despite this, these same genotype combinations were not associated with decreased risk of IHD or MI., Conclusion: Common genetic variation in APOA1 associated with increased apoA-I and HDL cholesterol levels did not associate with decreased risk of IHD or MI.