American Association of Clinical Endocrinology Consensus Statement: Addressing Stigma and Bias in the Diagnosis and Management of Patients with Obesity/Adiposity-Based Chronic Disease and Assessing Bias and Stigmatization as Determinants of Disease Severity.

OBJECTIVE: To focus on the intersection of perception, diagnosis, stigma, and weight bias in the management of obesity and obtain consensus on actionable steps to improve care provided for persons with obesity. METHODS: The American Association of Clinical Endocrinology (AACE) convened a consensus conference of interdisciplinary health care professionals to discuss the interplay between the diagnosis of obesity using adiposity-based chronic disease (ABCD) nomenclature and staging, weight stigma, and internalized weight bias (IWB) with development of actionable guidance to aid clinicians in mitigating IWB and stigma in that context. RESULTS: The following affirmed and emergent concepts were proposed: (1) obesity is ABCD, and these terms can be used in differing ways to communicate; (2) classification categories of obesity should have improved nomenclature across the spectrum of body mass index (BMI) using ethnic-specific BMI ranges and waist circumference (WC); (3) staging the clinical severity of obesity based on the presence and severity of ABCD complications may reduce weight-centric contribution to weight stigma and IWB; (4) weight stigma and internalized bias are both drivers and complications of ABCD and can impair quality of life, predispose to psychological disorders, and compromise the effectiveness of therapeutic interventions; (5) the presence and of stigmatization and IWB should be assessed in all patients and be incorporated into the staging of ABCD severity; and (6) optimal care will necessitate increased awareness and the development of educational and interventional tools for health care professionals that address IWB and stigma. CONCLUSIONS: The consensus panel has proposed an approach for integrating bias and stigmatization, psychological health, and social determinants of health in a staging system for ABCD severity as an aid to patient management. To effectively address stigma and IWB within a chronic care model for patients with obesity, there is a need for health care systems that are prepared to provide evidence-based, person-centered treatments; patients who understand that obesity is a chronic disease and are empowered to seek care and participate in behavioral therapy; and societies that promote policies and infrastructure for bias-free compassionate care, access to evidence-based interventions, and disease prevention.

Nonalcoholic steatohepatitis medical patient journey from the perspective of hepatologists, gastroenterologists and patients: a cross-sectional survey.

BACKGROUND: Nonalcoholic steatohepatitis (NASH), the inflammatory subtype of nonalcoholic fatty liver disease, is underdiagnosed and expected to become the leading indication for liver transplant in the United States. We aimed to understand the medical journey of patients with NASH and role of hepatologists/gastroenterologists in diagnosing and treating patients with NASH. METHODS: A United States population-based cross-sectional online survey was completed by 226 healthcare professionals (HCPs) who treat patients with NASH and 152 patients with NASH; this study focuses on the patient and 75 hepatologist/gastroenterologist HCP respondents. Tests of differences (chi square, t-tests) between respondent types were performed using SPSS. RESULTS: Most patients reported receiving their diagnosis of NASH from a hepatologist (37%) or gastroenterologist (26%). Hepatologists/gastroenterologists were more likely than other HCPs to use FibroScan (transient elastography) to diagnose NASH and were more likely to distinguish between NASH with or without fibrosis. Hepatologists/gastroenterologists (68%) and patients (52%) agree that hepatologists/gastroenterologists are the primary coordinators of NASH care. The majority of hepatologists/gastroenterologists (85%) are aware of American Association for the Study of Liver Diseases (AASLD) clinical practice guidance, and 86% of those aware consider them when diagnosing patients with NASH. Hepatologists/gastroenterologists most frequently recommended exercise (86%), diet (70%), and supplements (58%) for ongoing management of NASH. Pharmaceutical medications for comorbidities were prescribed by a minority of hepatologists/gastroenterologists for their patients with NASH. Hepatologists/gastroenterologists cite difficulty (67%) or unwillingness (64%) to adhere to lifestyle changes as primary reasons patients with NASH discontinue NASH treatment. CONCLUSIONS: Hepatologists/gastroenterologists are considered the coordinators of NASH care. While recognizing that patient adherence to lifestyle changes is the basis for successful treatment, important barriers limit successful implementation.

Attitudes, Perceptions, and Practices Among Endocrinologists Managing Obesity.

OBJECTIVE: Obesity has been globally recognized as a critically important disease by professional medical organizations, in addition to the World Health Organization and American Medical Association, but health care systems, medical teams, and the public have been slow to embrace this concept. METHODS: The American Association of Clinical Endocrinology staff drafted a survey, and 2 endocrinologists independently reviewed the survey's questions and modified the survey instrument. The survey included questions related to practice and patient demographics, awareness about obesity, treatment of obesity, barriers to improving obesity outcomes, digital health, cognitive behavioral therapy, lifestyle medicine, antiobesity medications, weight stigma, and social determinants of health. The survey was emailed to 493 endocrinologists, with 305 (62%) completing the study. RESULTS: Of the responders, 98% agreed that obesity is a disease, whereas 2% neither agreed nor disagreed. Of the respondents, 53% were familiar with the term "adiposity-based chronic disease" and 13% were certified by the American Board of Obesity Medicine. Of the respondents, 57% used published obesity guidelines as a resource for treating patients with obesity. Most endocrinologists recommended dietary and lifestyle changes, but fewer prescribed an antiobesity medication or recommended bariatric surgery. American Board of Obesity Medicine-certified endocrinologists were more likely to use a multidisciplinary approach. CONCLUSION: Self-reported knowledge and practices in the management of obesity highlight the importance of a multimodal approach to obesity and foster collaboration among health care professionals. It is necessary to raise awareness about obesity among clinicians, identify knowledge gaps, and create educational tools to address those gaps.

American Association of Clinical Endocrinology Clinical Practice Guideline for the Diagnosis and Management of Nonalcoholic Fatty Liver Disease in Primary Care and Endocrinology Clinical Settings: Co-Sponsored by the American Association for the Study of Liver Diseases (AASLD).

OBJECTIVE: To provide evidence-based recommendations regarding the diagnosis and management of nonalcoholic fatty liver disease (NAFLD) and nonalcoholic steatohepatitis (NASH) to endocrinologists, primary care clinicians, health care professionals, and other stakeholders. METHODS: The American Association of Clinical Endocrinology conducted literature searches for relevant articles published from January 1, 2010, to November 15, 2021. A task force of medical experts developed evidence-based guideline recommendations based on a review of clinical evidence, expertise, and informal consensus, according to established American Association of Clinical Endocrinology protocol for guideline development. RECOMMENDATION SUMMARY: This guideline includes 34 evidence-based clinical practice recommendations for the diagnosis and management of persons with NAFLD and/or NASH and contains 385 citations that inform the evidence base. CONCLUSION: NAFLD is a major public health problem that will only worsen in the future, as it is closely linked to the epidemics of obesity and type 2 diabetes mellitus. Given this link, endocrinologists and primary care physicians are in an ideal position to identify persons at risk on to prevent the development of cirrhosis and comorbidities. While no U.S. Food and Drug Administration-approved medications to treat NAFLD are currently available, management can include lifestyle changes that promote an energy deficit leading to weight loss; consideration of weight loss medications, particularly glucagon-like peptide-1 receptor agonists; and bariatric surgery, for persons who have obesity, as well as some diabetes medications, such as pioglitazone and glucagon-like peptide-1 receptor agonists, for those with type 2 diabetes mellitus and NASH. Management should also promote cardiometabolic health and reduce the increased cardiovascular risk associated with this complex disease.

COUNTERPOINT: Artificial Sweeteners for Obesity-Better than Sugary Alternatives; Potentially a Solution.

OBJECTIVE: Nonnutritive (NNSs) are used in place of sugars to reduce caloric and glycemic intake while providing desired sweetness, commonly replacing sugar-sweetened beverages (SSBs) with "diet" (zero-calorie) alternatives. Concern has developed due to observational data associating NNSs with obesity and adiposity-based chronic disease. This counterpoint argues that, in general, NNSs used in place of added or excess sugars in the diet are likely beneficial. METHODS: A literature review was conducted on interventional trials investigating NNSs and obesity or type 2 diabetes mellitus. Key words used in the search included artificial sweeteners, nonnutritive sweeteners, saccharin, sucralose, aspartame, stevia/steviol, acesulfame potassium, meal replacements, type 2 diabetes mellitus, obesity, and weight. RESULTS: Interventional data and indirect interventional data consistently showed beneficial effects on weight and cardiometabolic health, including glycemia, when SSBs or other energy-dense foods were replaced by artificially sweetened beverages or artificially sweetened meal replacements. CONCLUSION: Although NNSs correlate with obesity and adiposity-based chronic disease, those data are fraught with confounding and error. Plausibility has been suggested on the basis of preclinical research on neuroendocrine control of appetite, satiety, and cravings plus the gut microbiome. However, interventional data reveal that replacing caloric/glycemic energy intake via NNSs creates an energy deficit resulting in weight loss and improvement in disease-especially dysglycemic disease. Intensive dietary intervention using artificially sweetened meal replacements shows a marked clinical benefit without detriment from their NNSs. Furthermore, beverages sweetened with NNSs rather than SSBs have been noted to be a critical component for those succeeding in maintaining weight loss. Although individual responses to the effects of NNSs are always warranted just like in any clinical situation, patients should not be advised to avoid NNSs in the context of dietary intervention to improve quality and energy deficit.

Covid-19 & Obesity: Beyond Bmi.

The pandemic of novel coronavirus disease 2019 (COVID-19) has triggered an international crisis resulting in excess morbidity and mortality with adverse societal, economic, and geopolitical consequences. Like other disease states, there are patient characteristics that impact clinical risk and determine the spectrum of severity. Obesity, or adiposity-based chronic disease, has emerged as an important risk factor for morbidity and mortality due to COVID-19. It is imperative to further stratify risk in patients with obesity to determine optimal mitigation and perhaps therapeutic preparedness strategies. We suspect that insulin resistance is an important pathophysiologic cause of poor outcomes in patients with obesity and COVID-19 independent of body mass index. This explains the association of type 2 diabetes mellitus (T2DM), hypertension (HTN), and cardiovascular disease with poor outcomes since insulin resistance is the main driver of both dysglycemia-based chronic disease and cardiometabolic-based chronic disease towards end-stage disease manifestations. Staging the severity of adiposity-related disease in a "complication-centric" manner (HTN, dyslipidemia, metabolic syndrome, T2DM, obstructive sleep apnea, etc.) among different ethnic groups in patients with COVID-19 should help predict the adverse risk of adiposity on patient health in a pragmatic and actionable manner during this pandemic.

AMERICAN ASSOCIATION OF CLINICAL ENDOCRINOLOGISTS AND AMERICAN COLLEGE OF ENDOCRINOLOGY COMPREHENSIVE CLINICAL PRACTICE GUIDELINES FOR MEDICAL CARE OF PATIENTS WITH OBESITY.

OBJECTIVE: Development of these guidelines is mandated by the American Association of Clinical Endocrinologists (AACE) Board of Directors and the American College of Endocrinology (ACE) Board of Trustees and adheres to published AACE protocols for the standardized production of clinical practice guidelines (CPGs). METHODS: Recommendations are based on diligent review of clinical evidence with transparent incorporation of subjective factors. RESULTS: There are 9 broad clinical questions with 123 recommendation numbers that include 160 specific statements (85 [53.1%] strong [Grade A]; 48 [30.0%] intermediate [Grade B], and 11 [6.9%] weak [Grade C], with 16 [10.0%] based on expert opinion [Grade D]) that build a comprehensive medical care plan for obesity. There were 133 (83.1%) statements based on strong (best evidence level [BEL] 1 = 79 [49.4%]) or intermediate (BEL 2 = 54 [33.7%]) levels of scientific substantiation. There were 34 (23.6%) evidence-based recommendation grades (Grades A-C = 144) that were adjusted based on subjective factors. Among the 1,790 reference citations used in this CPG, 524 (29.3%) were based on strong (evidence level [EL] 1), 605 (33.8%) were based on intermediate (EL 2), and 308 (17.2%) were based on weak (EL 3) scientific studies, with 353 (19.7%) based on reviews and opinions (EL 4). CONCLUSION: The final recommendations recognize that obesity is a complex, adiposity-based chronic disease, where management targets both weight-related complications and adiposity to improve overall health and quality of life. The detailed evidence-based recommendations allow for nuanced clinical decision-making that addresses real-world medical care of patients with obesity, including screening, diagnosis, evaluation, selection of therapy, treatment goals, and individualization of care. The goal is to facilitate high-quality care of patients with obesity and provide a rational, scientific approach to management that optimizes health outcomes and safety. ABBREVIATIONS: A1C = hemoglobin A1c AACE = American Association of Clinical Endocrinologists ACE = American College of Endocrinology ACSM = American College of Sports Medicine ADA = American Diabetes Association ADAPT = Arthritis, Diet, and Activity Promotion Trial ADHD = attention-deficit hyperactivity disorder AHA = American Heart Association AHEAD = Action for Health in Diabetes AHI = apnea-hypopnea index ALT = alanine aminotransferase AMA = American Medical Association ARB = angiotensin receptor blocker ART = assisted reproductive technology AUC = area under the curve BDI = Beck Depression Inventory BED = binge eating disorder BEL = best evidence level BLOOM = Behavioral Modification and Lorcaserin for Overweight and Obesity Management BLOSSOM = Behavioral Modification and Lorcaserin Second Study for Obesity Management BMI = body mass index BP = blood pressure C-SSRS = Columbia Suicidality Severity Rating Scale CAD = coronary artery disease CARDIA = Coronary Artery Risk Development in Young Adults CBT = cognitive behavioral therapy CCO = Consensus Conference on Obesity CHF = congestive heart failure CHO = carbohydrate CI = confidence interval COR-I = Contrave Obesity Research I CPG = clinical practice guideline CV = cardiovascular CVD = cardiovascular disease DASH = Dietary Approaches to Stop Hypertension DBP = diastolic blood pressure DEXA = dual-energy X-ray absorptiometry DPP = Diabetes Prevention Program DSE = diabetes support and education EL = evidence level ED = erectile dysfunction ER = extended release EWL = excess weight loss FDA = Food and Drug Administration FDG = 18F-fluorodeoxyglucose GABA = gamma-aminobutyric acid GERD = gastroesophageal reflux disease GI = gastrointestinal GLP-1 = glucagon-like peptide 1 HADS = Hospital Anxiety and Depression Scale HDL-c = high-density lipoprotein cholesterol HR = hazard ratio HTN = hypertension HUNT = Nord-Trøndelag Health Study ICSI = intracytoplasmic sperm injection IFG = impaired fasting glucose IGT = impaired glucose tolerance ILI = intensive lifestyle intervention IVF = in vitro fertilization LAGB = laparoscopic adjustable gastric banding LDL-c = low-density lipoprotein cholesterol LES = lower esophageal sphincter LSG = laparoscopic sleeve gastrectomy LV = left ventricle LVH = left ventricular hypertrophy LVBG = laparoscopic vertical banded gastroplasty MACE = major adverse cardiovascular events MAOI = monoamine oxidase inhibitor MI = myocardial infarction MNRCT = meta-analysis of non-randomized prospective or case-controlled trials MRI = magnetic resonance imaging MUFA = monounsaturated fatty acid NAFLD = nonalcoholic fatty liver disease NASH = nonalcoholic steatohepatitis NES = night eating syndrome NHANES = National Health and Nutrition Examination Surveys NHLBI = National Heart, Lung, and Blood Institute NHS = Nurses' Health Study NICE = National Institute for Health and Care Excellence OA = osteoarthritis OGTT = oral glucose tolerance test OR = odds ratio OSA = obstructive sleep apnea PHQ-9 = Patient Health Questionnaire PCOS = polycystic ovary syndrome PCP = primary care physician POMC = pro-opiomelanocortin POWER = Practice-Based Opportunities for Weight Reduction PPI = proton pump inhibitor PRIDE = Program to Reduce Incontinence by Diet and Exercise PSA = prostate specific antigen QOL = quality of life RA = receptor agonist RCT = randomized controlled trial ROC = receiver operator characteristic RR = relative risk RYGB = Roux-en-Y gastric bypass SAD = sagittal abdominal diameter SBP = systolic blood pressure SCOUT = Sibutramine Cardiovascular Outcome Trial SG = sleeve gastrectomy SHBG = sex hormonebinding globulin SIEDY = Structured Interview on Erectile Dysfunction SNRI = serotonin-norepinephrine reuptake inhibitors SOS = Swedish Obese Subjects SS = surveillance study SSRI = selective serotonin reuptake inhibitors STORM = Sibutramine Trial on Obesity Reduction and Maintenance TCA = tricyclic antidepressant TONE = Trial of Nonpharmacologic Intervention in the Elderly TOS = The Obesity Society T2DM = type 2 diabetes mellitus UKPDS = United Kingdom Prospective Diabetes Study U.S = United States VAT = visceral adipose tissue VLDL = very low-density lipoprotein WC = waist circumference WHO = World Health Organization WHR = waist-hip ratio WHtR = waist-to-height ratio WMD = weighted mean difference WOMAC = Western Ontario and McMaster Universities osteoarthritis index XENDOS = XEnical in the Prevention of Diabetes in Obese Subjects.

AMERICAN ASSOCIATION OF CLINICAL ENDOCRINOLOGISTS AND AMERICAN COLLEGE OF ENDOCRINOLOGY COMPREHENSIVE CLINICAL PRACTICE GUIDELINES FOR MEDICAL CARE OF PATIENTS WITH OBESITYEXECUTIVE SUMMARYComplete Guidelines available at https://www.aace.com/publications/guidelines.

OBJECTIVE: Development of these guidelines is mandated by the American Association of Clinical Endocrinologists (AACE) Board of Directors and the American College of Endocrinology (ACE) Board of Trustees and adheres to published AACE protocols for the standardized production of clinical practice guidelines (CPGs). METHODS: Recommendations are based on diligent review of clinical evidence with transparent incorporation of subjective factors. RESULTS: There are 9 broad clinical questions with 123 recommendation numbers that include 160 specific statements (85 [53.1%] strong [Grade A], 48 [30.0%] intermediate [Grade B], and 11 [6.9%] weak [Grade C], with 16 [10.0%] based on expert opinion [Grade D]) that build a comprehensive medical care plan for obesity. There were 133 (83.1%) statements based on strong (best evidence level [BEL] 1 = 79 [49.4%]) or intermediate (BEL 2 = 54 [33.7%]) levels of scientific substantiation. There were 34 (23.6%) evidence-based recommendation grades (Grades A-C = 144) that were adjusted based on subjective factors. Among the 1,788 reference citations used in this CPG, 524 (29.3%) were based on strong (evidence level [EL] 1), 605 (33.8%) were based on intermediate (EL 2), and 308 (17.2%) were based on weak (EL 3) scientific studies, with 351 (19.6%) based on reviews and opinions (EL 4). CONCLUSION: The final recommendations recognize that obesity is a complex, adiposity-based chronic disease, where management targets both weight-related complications and adiposity to improve overall health and quality of life. The detailed evidence-based recommendations allow for nuanced clinical decision-making that addresses real-world medical care of patients with obesity, including screening, diagnosis, evaluation, selection of therapy, treatment goals, and individualization of care. The goal is to facilitate high-quality care of patients with obesity and provide a rational, scientific approach to management that optimizes health outcomes and safety. ABBREVIATIONS: A1C = hemoglobin A1c AACE = American Association of Clinical Endocrinologists ACE = American College of Endocrinology AMA = American Medical Association BEL = best evidence level BMI = body mass index CCO = Consensus Conference on Obesity CPG = clinical practice guideline CSS = cross-sectional study CVD = cardiovascular disease EL = evidence level FDA = Food and Drug Administration GERD = gastroesophageal reflux disease HDL-c = high-density lipoprotein cholesterol IFG = impaired fasting glucose IGT = impaired glucose tolerance LDL-c = low-density lipoprotein cholesterol MNRCT = meta-analysis of non-randomized prospective or case-controlled trials NE = no evidence PCOS = polycystic ovary syndrome RCT = randomized controlled trial SS = surveillance study U.S = United States.

The Effects of Medium-Chain Triglyceride Oil and Butter on Lipid Profiles.

Background and objective Butter coffee drinks, mainly a form of a saturated fat diet, are widely accepted as a "healthy energy-boosting drink", especially in the young and healthy military population. The objective of our study was to determine the effects of medium-chain triglyceride (MCT) oil and butter on lipid profile, especially apolipoprotein B (ApoB), low-density lipoprotein (LDL)-cholesterol (LDL-C), high-density lipoprotein (HDL)-cholesterol (HDL-C), and other risk factors for coronary heart disease, such as BMI, BP, fasting blood glucose, HbA1c, and high-sensitivity C-reactive protein (hs-CRP) levels in healthy adults. Materials and methods We conducted a prospective study of 60 subjects who were randomized to one of the two following regimens: (1) coffee or (2) coffee with butter plus MCT oil combination. The primary outcome was the effect on ApoB. Secondary outcomes were as follows: non-HDL-C, LDL-C, triglycerides, BP, waist circumference, fasting blood glucose, and HbA1c. These parameters were evaluated at the baseline and after 12 weeks. The Mann-Whitney U test was utilized for analysis of the results. Results While 60 subjects were recruited for the study, only 41 completed it, meeting the minimum required sample size (17 per group) necessary to achieve the desired effect size: 21 males (nine in the control group and 12 in the experimental group) and 20 females (10 in each group). Anthropometric measures were similar between the two groups at baseline, and so were age and BMI (average age: 33.00 ± 5.84 years among controls and 30.86 ± 6.14 years in the experimental group; BMI: 27.35 ± 4.63 kg/m2 vs. 25.74 ± 2.70 kg/m2). The pulse rate was 69.35 ± 10.98 in the control vs. 70.68 ± 10.32 bpm in the experimental group. The waist size was also similar in both groups. Baseline lab findings were as follows: ApoB: 89.85 ± 17.52 (control), 81.60 ± 12.84 mg/dL (experimental); hs-CRP: 0.18 ± 0.27 (control), 0.17 ± 0.27 mg/L (experimental); LDL-C 113.65 ±23.71 (control), 106.50 ± 18.99 mg/dL (experimental); HDL-C 57.35 ± 14.63 (control), 62.41 ± 16.15 mg/dL (experimental); and triglycerides: 76.00 ± 31.30 (control), 56.77 ± 14.77 mg/dL (experimental), and these values were similar. The values after 12 weeks of intervention were as follows: BMI: 27.37 ± 5.24 (control), 26.36 ± 3.55 (experimental); pulse rate: 78.88 ± 14.00 (control), 74.20 ± 11.90 bpm (experimental); ApoB 87.1 ± 17.38 (control), 85.7 ±20.59 mg/dL (experimental); hs-CRP 0.26 ± 0.22 (control), 0.15 ± 0.14 mg/L (experimental); LDL-C 111.59 ± 20.35 (control), 114.10 ± 26.99 mg/dL (experimental); HDL-C 57.71 ± 12.93 (control), 64.85 ± 13.32 mg/dL (experimental); and triglycerides: 74.71 ± 25.39 (control), 60.80 ± 15.77 mg/dL (experimental). Conclusion At a significance level of 5%, there was no difference between the two groups, either at the baseline or at 12 weeks of intervention. Based on our findings, adding MCT oil and butter to coffee may be safe. However, further studies with larger sample sizes and longer duration are needed to validate our findings.

"Incorporating a Gym Facility in a Lifestyle Medicine Practice for Patients with Diabetes Mellitus".

Incorporating a gym or fitness facility into a lifestyle-focused clinic is potentially one of the most critical facets of the patient-focused care, especially for those with obesity, cardiometabolic disease, and all types of diabetes mellitus. The evidence for prioritizing physical activity and exercise as medicine is well-researched and universally recommended as first-line therapy plus prevention of many chronic disease states. Having a fitness center on-site as part of any clinic could improve patient utilization, reduce barrier to entry, and decrease hesitation to engage in exercise like resistance training. While the conceptualization may seem simple, the pragmatic application and implementation takes proper planning. Developing such a gym will depend upon gym size preference, program development, cost, and available personnel. Thought needs to be put into deciding which type of exercise and ancillary equipment, ranging from aerobic or resistance machines to free weights, will be included and in what format. Fee and payment options should be carefully considered to assure the budget works financially for both the clinic and patient population. Finally, graphic examples of clinical gyms are described to convey the potential reality of such an optimal setting.

Sugar-Sweetened and Artificially Sweetened Beverages Consumption and Risk of Cardiovascular Health.

INTRODUCTION: Sugar-sweetened and artificially sweetened beverages are routinely consumed worldwide. Given their popularity, there has been much debate about the effect that these beverages have on cardiovascular health. We sought to determine the exact relationship between sugar-sweetened and artificially sweetened beverages consumption on cardiovascular health. METHODS: All studies that reported an association between sugar-sweetened/artificially sweetened beverages consumption and cardiovascular health were extracted from database inception to September 2022 using keywords from several databases. We used the DerSimonian & Laird random-effects method for the analysis. RESULTS: Of the total 16 prospective studies, 1,405,375 individuals were followed for a median follow-up of 14.8 years. Compared with low sugar-sweetened and artificially sweetened beverage consumption, a higher consumption of sugar-sweetened and artificially sweetened beverages was associated with greater cardiovascular outcomes (hazard ratio [HR] of 1.27, 95% confidence interval [CI] of 1.16-1.40 and risk ratios of 1.16, 95% CI of 1.02-1.33). Similarly, compared with low artificially sweetened beverages consumption, a higher consumption of artificially sweetened beverages was associated with greater cardiovascular outcomes (HR of 1.32, 95% CI of 1.12-1.57). Likewise, compared with low sugar-sweetened beverages consumption, a higher consumption of sugar-sweetened beverages was associated with greater cardiovascular outcomes (HR of 1.21, 95% CI of 1.07-1.37 and risk ratios of 1.22, 95% CI of 1.09-1.35). CONCLUSIONS: Increasing consumption of sugar-sweetened and artificially sweetened beverages may be correlated with an increased risk of developing cardiovascular/vascular complications and mortality, albeit without causality of cardiovascular/vascular morbidity.

Nonalcoholic steatohepatitis diagnosis and treatment from the perspective of patients and primary care physicians: a cross-sectional survey.

BACKGROUND: The global prevalence of nonalcoholic steatohepatitis (NASH) is rising. Despite this, NASH is underdiagnosed and does not yet have approved pharmacological treatments. We sought to understand the path to diagnosis, patient interactions with healthcare professionals, treatment regimens, and disease management for patients with NASH. METHODS: Cross-sectional online surveys of patients with a self-reported diagnosis of NASH and healthcare professionals treating patients with NASH were conducted from 10th November 2020, to 1st January 2021. This manuscript focuses on responses from 152 patients with NASH and 101 primary care physicians (PCPs). RESULTS: Patients (n = 152, mean age = 40, SD = 11) and healthcare professionals (n = 226) were located throughout the US. In the most common patient journey, 72% of patients had initial discussions about symptoms with a PCP but only 30% report receiving their NASH diagnosis from a PCP. Almost half of PCPs (47%) were not aware of any clinical practice guidelines for diagnosis and management of NASH. For ongoing management of NASH, PCPs most frequently prescribed lifestyle changes such as exercise (89%), lifestyle changes focused on diet (79%), and/or metformin (57%). Other healthcare professionals rarely referred patients to PCPs for treatment, but when they did, the primary reasons were patients struggling with lifestyle modifications (58%), needing to lose weight (46%), and needing treatment of comorbidities (42%). CONCLUSIONS: PCPs may benefit from greater awareness of NASH and guidelines for its diagnosis and treatment. Given the absence of pharmacological treatments approved for NASH, PCPs can offer support in obesity management, comorbidity management, and risk stratification for liver disease progression.

Nonalcoholic steatohepatitis (NASH) is a form of nonalcoholic fatty liver disease (NAFLD) with a higher risk of more severe liver disease. Patients with NASH have too much fat deposited in their liver with associated liver inflammation, scarring, and, in some patients, liver failure. Patients with NASH may not experience symptoms until their disease reaches a dangerous point. We wanted to understand how patients with NASH are diagnosed, how they interact with doctors, and how doctors manage their disease. We surveyed 101 primary care doctors and 152 patients with NASH to ask them about their experiences with NASH. Most patients (72%) report having initial discussions about potential NASH symptoms with a primary care doctor, but only 30% receive their NASH diagnosis from a primary care doctor. Almost half of primary care doctors were not aware of guidelines for the diagnosis and management of NASH. To manage patients' NASH, most primary care doctors prescribed lifestyle changes such as exercise (89%), lifestyle changes focused on diet (79%), or metformin (57%). Other types of doctors rarely referred their patients with NASH to primary care doctors for treatment; when they did the main reasons were that their patients were struggling with lifestyle modifications (58%), needed to lose weight (46%), or needed treatment of one of their other conditions (42%). In conclusion, primary care doctors may benefit from greater awareness of guidelines for the diagnosis and treatment of NASH. Primary care doctors can play an important role in supporting patients with lifestyle change and management of patients' other conditions that may be related to their NASH.Key messagesPrimary care physicians (PCPs) are the most common initial touchpoint for patients with NASH.PCPs lack awareness of guidelines for the diagnosis and treatment of NASH.Other physicians believe that PCPs can help patients with lifestyle changes, weight loss, and management of comorbidities.

Development of an Assessment Tool for Completion by Patients with Overweight or Obesity.

INTRODUCTION: Discussions of weight-management strategies between patients and healthcare providers can yield positive outcomes for people with overweight or obesity. Nonetheless, people with overweight or obesity encounter communication challenges and other barriers to pursuing effective weight-management strategies with their healthcare providers. The aim of this study was to develop a new self-completed assessment tool to initiate and facilitate conversations related to weight management between patients and healthcare providers. METHODS: Developing the assessment tool involved a series of steps and draft versions of the tool, based on feedback from key opinion leaders in the field of obesity (N = 4) and input from people with overweight or obesity (N = 18). Three iterative rounds of qualitative interviews were conducted in the USA. A targeted review of prior qualitative research was conducted to identify common and important impacts of obesity on patients' functioning. Standard qualitative analytical methods were used to identify concepts of importance in a concept elicitation exercise during the interviews and were evaluated for potential inclusion in the tool. Potential problems with the tool were flagged during cognitive debriefing of the draft tool. RESULTS: During 18 individual interviews, participants referenced the impact of their weight on their lives, including health and comorbidities, physical function, emotional/mental functioning, social life, and physical appearance. Over the course of the tool's development, 24 common and important impacts of obesity on patients' functioning were reduced to a final set of eight concepts in the final tool that were deemed important and relevant to both patients and key opinion leaders. CONCLUSIONS: The assessment tool is a five-item, self-completed measure expected to foster patient self-advocacy for individuals with overweight or obesity by giving them an opportunity to define their weight-management goals and discuss these, along with various medical interventions, with a healthcare provider.