RESUMEN
Heart failure (HF) is a complex clinical syndrome, associated with high rates of mortality, hospitalization, and impairment of quality of life. Obesity and type 2 diabetes are major cardiometabolic drivers, represented as distinct stages of adiposity- and dysglycemia-based chronic disease (ABCD, DBCD), respectively, and leading to cardiometabolic-based chronic disease (CMBCD). This review focuses on one aspect of the CMBCD model: how ABCD and DBCD influence genesis and progression of HF phenotypes. Specifically, the relationships of ABCD and DBCD stages with structural and functional heart disease, HF risk, and outcomes in overt HF are detailed. Also, evidence-based lifestyle, pharmacological, and procedural interventions that promote or reverse cardiac remodeling and outcomes in individuals at risk or with HF are discussed. In summary, driver-based chronic disease models for individuals at risk or with HF can expose prevention targets for more comprehensive interventions to improve clinical outcomes. Future randomized trials that investigate structured lifestyle, pharmacological, and procedural therapies specifically tailored for the CMBCD model are needed to develop personalized care plans to decrease HF susceptibility and improve outcomes.
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Diabetes Mellitus Tipo 2 , Insuficiencia Cardíaca , Humanos , Adiposidad , Diabetes Mellitus Tipo 2/complicaciones , Diabetes Mellitus Tipo 2/epidemiología , Calidad de Vida , Insuficiencia Cardíaca/epidemiología , Insuficiencia Cardíaca/terapia , Obesidad/complicaciones , Obesidad/epidemiología , Enfermedad CrónicaRESUMEN
Bariatric surgery is associated with a postoperative reduction of 25(OH) vitamin D levels (25(OH)D) and with skeletal complications. Currently, guidelines for 25(OH)D assessment and vitamin D supplementation in bariatric patients, pre- and post-surgery, are still lacking. The aim of this work is to analyse systematically the published experience on 25(OH)D status and vitamin D supplementation, pre- and post-surgery, and to propose, on this basis, recommendations for management. Preoperatively, 18 studies including 2,869 patients were evaluated. Prevalence of vitamin D insufficiency as defined by 25(OH)D < 30 ng/mL (75 nmol/L) was 85%, whereas when defined by 25(OH)D < 20 ng/mL (50 nmol/L) was 57%. The median preoperative 25(OH)D level was 19.75 ng/mL. After surgery, 39 studies including 5,296 patients were analysed and among those undergoing either malabsorptive or restrictive procedures, a lower rate of vitamin D insufficiency and higher 25(OH)D levels postoperatively were observed in patients treated with high-dose oral vitamin D supplementation, defined as ≥ 2,000 IU/daily (mostly D3-formulation), compared with low-doses (< 2,000 IU/daily). Our recommendations based on this systematic review and meta-analysis should help clinical practice in the assessment and management of vitamin D status before and after bariatric surgery. Assessment of vitamin D should be performed pre- and postoperatively in all patients undergoing bariatric surgery. Regardless of the type of procedure, high-dose supplementation is recommended in patients after bariatric surgery.
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Cirugía Bariátrica , Deficiencia de Vitamina D , Humanos , Vitamina D , Deficiencia de Vitamina D/tratamiento farmacológico , Deficiencia de Vitamina D/epidemiología , Deficiencia de Vitamina D/etiología , Suplementos Dietéticos , Vitaminas/uso terapéuticoRESUMEN
OBJECTIVE: Postprandial hyperglycemia drives insulin resistance and inflammation, leading to metabolic dysfunction-associated fatty liver disease (MAFLD). Prediction of postprandial glycemic responses by digital twin (DT) technology can fashion a personalized nutrition, activity, and sleep to treat type 2 diabetes (T2D) and MAFLD. This study examines the effects of DT-enabled personalized nutrition, activity, and sleep on glycemic status, surrogate markers of MAFLD, and magnetic resonance imaging-derived proton density fat fraction (MRI-PDFF) in patients with T2D. METHODS: In an open-label randomized trial (2:1), 319 people with T2D were eligible to intervention (DT) or standard care (SC). DT patients followed personalized meal plans with foods suggested by artificial intelligence with least predicted postprandial glycemic response. The primary end point was to compare change in hemoglobin A1c (HbA1c) and medicine reduction between the DT and SC groups. Key secondary end points included remission to compare liver function test scores and visceral adiposity using MRI. RESULTS: HbA1C was significantly better for DT than for SC (-2.9 [1.8] vs -0.3 [1.2]; P < .001) at 1 year with 72.7% remission of T2D. In patients with abnormal baseline values, significant improvements were seen in DT vs SC patients from baseline to 1 year in nonalcoholic fatty liver disease liver fat score (mean [SD]; -2.5 [2.0] vs -0.1 [1.5]; P < .001) and nonalcoholic fatty liver disease fibrosis score (-1.20 [0.9] vs -0.1 [1.0]; P < .001), respectively. Improvements are seen with DT compared with SC in other liver fat, fibrosis score, and %liver fat by MRI-PDFF. CONCLUSION: At 1 year, DT-enabled personalized treatment significantly improved hyperglycemia and surrogate markers of MAFLD and MRI-PDFF.
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Diabetes Mellitus Tipo 2 , Enfermedad del Hígado Graso no Alcohólico , Humanos , Enfermedad del Hígado Graso no Alcohólico/terapia , Enfermedad del Hígado Graso no Alcohólico/tratamiento farmacológico , Diabetes Mellitus Tipo 2/terapia , Diabetes Mellitus Tipo 2/tratamiento farmacológico , Inteligencia Artificial , Hígado , Imagen por Resonancia Magnética/métodos , Hemoglobina Glucada , Biomarcadores , FibrosisRESUMEN
OBJECTIVE: Guidelines recommend case finding for dysglycemia (prediabetes and type 2 diabetes [T2D]) in adults or youth older than 10 years with overweight/obesity, but increased adiposity has not been associated with dysglycemia in some Hispanic populations. This study aims to determine the prevalence of dysglycemia in this population using simplified criteria independent of body mass index and age to request an oral glucose tolerance test (OGTT). METHODS: Cross-sectional retrospective analysis of medical records from a clinical center in Chile (2000-2007). OGTT was obtained from any patient with 1 cardiometabolic risk factor (CMRF) independent of age and body mass index. RESULTS: In total, 4969 adults (mean age ± SD) 45.7 ± 15.9 years and 509 youths 16.6 ± 3.0 years were included. The prevalence (%, 95% CI) of prediabetes doubled that of T2D in youths (14.1%, 1.4-17.4 vs 6.3%, 4.5-8.7) and tripled it in adults (36.0%, 34.7-37.4 vs 10.7%, 9.8-11.5). In underweight and normal-weight adults, 22% (12.0-36.7) and 29.2% (26.4-32.1) had prediabetes, whereas 4.9% (1.3-16.1) and 8.8% (7.2-10.7) had T2D, respectively. In normal weight youths, 10.5% (6.7-15.9) and 2.9% (1.2-6.6) had prediabetes and T2D, respectively. In adults, but not in youths, most dysglycemia categories were related to overweight/obesity. CONCLUSION: This study supports a public health policy to identify more people at risk for cardiovascular disease by implementing a revised case finding protocol for dysglycemia using OGTT in even normal weight patients over 6 years of age when there is at least 1 CMRF. Reanalysis of case finding protocols for cardiometabolic risk in other populations is warranted.
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Diabetes Mellitus Tipo 2 , Estado Prediabético , Adulto , Adolescente , Humanos , Estado Prediabético/epidemiología , Diabetes Mellitus Tipo 2/complicaciones , Glucemia , Sobrepeso/epidemiología , Estudios Retrospectivos , Estudios Transversales , Chile/epidemiología , Obesidad/epidemiología , Obesidad/complicacionesRESUMEN
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.
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Diabetes Mellitus Tipo 2 , Enfermedad del Hígado Graso no Alcohólico , Diabetes Mellitus Tipo 2/tratamiento farmacológico , Receptor del Péptido 1 Similar al Glucagón , Humanos , Enfermedad del Hígado Graso no Alcohólico/complicaciones , Enfermedad del Hígado Graso no Alcohólico/diagnóstico , Enfermedad del Hígado Graso no Alcohólico/terapia , Obesidad/complicaciones , Atención Primaria de Salud , Estados Unidos/epidemiología , Pérdida de PesoRESUMEN
OBJECTIVE: Malnutrition among hospital patients, a frequent, yet under-diagnosed problem is associated with adverse impact on patient outcome and health care costs. Development of highly accurate malnutrition screening tools is, therefore, essential for its timely detection, for providing nutritional care, and for addressing the concerns related to the suboptimal predictive value of the conventional screening tools, such as the Malnutrition Universal Screening Tool (MUST). We aimed to develop a machine learning (ML) based classifier (MUST-Plus) for more accurate prediction of malnutrition. METHOD: A retrospective cohort with inpatient data consisting of anthropometric, lab biochemistry, clinical data, and demographics from adult (≥ 18 years) admissions at a large tertiary health care system between January 2017 and July 2018 was used. The registered dietitian (RD) nutritional assessments were used as the gold standard outcome label. The cohort was randomly split (70:30) into training and test sets. A random forest model was trained using 10-fold cross-validation on training set, and its predictive performance on test set was compared to MUST. RESULTS: In all, 13.3% of admissions were associated with malnutrition in the test cohort. MUST-Plus provided 73.07% (95% confidence interval [CI]: 69.61%-76.33%) sensitivity, 76.89% (95% CI: 75.64%-78.11%) specificity, and 83.5% (95% CI: 82.0%-85.0%) area under the receiver operating curve (AUC). Compared to classic MUST, MUST-Plus demonstrated 30% higher sensitivity, 6% higher specificity, and 17% increased AUC. CONCLUSIONS: ML-based MUST-Plus provided superior performance in identifying malnutrition compared to the classic MUST. The tool can be used for improving the operational efficiency of RDs by timely referrals of high-risk patients.
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Desnutrición , Evaluación Nutricional , Adulto , Humanos , Aprendizaje Automático , Desnutrición/diagnóstico , Tamizaje Masivo , Estudios RetrospectivosRESUMEN
BACKGROUND AND AIMS: Coronary heart disease (CHD) is a major mortality risk factor in patients with diabetes. LDL cholesterol (LDL-C) is a major risk factor for the development of atherosclerosis. There is one apolipoprotein B (ApoB) molecule in each LDL particle. We aimed to evaluate the predictive value of the LDL-C/ApoB ratio for CHD in patients with type 2 diabetes (T2D). METHODS AND RESULTS: In this case-cohort study (apo)lipoproteins and glycemic indices were measured in 1058 individuals with T2D from February 2002 to March 2019, with a median duration of follow up of 10 years. Of 1058 patients with T2D, coronary heart disease occurred in 242 patients. Increased waist circumference, waist-to-hip ratio, and hemoglobin A1c, low-density lipoprotein cholesterol (LDL-C)/Apolipoprotein B (ApoB) ratio, presence of hypertension and metabolic syndrome, and insulin and statin use were more prevalent among patients with CHD (P < 0.001). Logistic regression analysis showed that an LDL-C/ApoB ratio equal or lower than 1.2 could predict CHD independent of ASCVD risk score [adjusted OR:1.841, CI:1.257-2.698, P < 0.001] when adjusted for multiple confounders. The atherogenic index of plasma (AIP) did not predict CHD. CONCLUSION: This study showed that LDL-C/ApoB ratio, but not the atherogenic index of plasma, may be considered as an indicator of CHD independent of the ASCVD risk score in patients with T2D. This finding merits further clarification to optimize preventive strategies for CHD.
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Apolipoproteína B-100/sangre , LDL-Colesterol/sangre , Enfermedad Coronaria/sangre , Diabetes Mellitus Tipo 2/sangre , Dislipidemias/sangre , Anciano , Biomarcadores/sangre , Enfermedad Coronaria/diagnóstico , Enfermedad Coronaria/epidemiología , Diabetes Mellitus Tipo 2/diagnóstico , Diabetes Mellitus Tipo 2/epidemiología , Dislipidemias/diagnóstico , Dislipidemias/epidemiología , Femenino , Humanos , Irán/epidemiología , Masculino , Persona de Mediana Edad , Valor Predictivo de las Pruebas , Prevalencia , Pronóstico , Estudios Retrospectivos , Medición de Riesgo , Factores de RiesgoRESUMEN
OBJECTIVE: Arterial stiffness (ArSt) describes a loss of arterial wall elasticity and is an independent predictor of cardiovascular events. A cardiometabolic-based chronic disease model integrates concepts of adiposity-based chronic disease (ABCD), dysglycemia-based chronic disease (DBCD), and cardiovascular disease. We assessed if ABCD and DBCD models detect more people with high ArSt compared with traditional adiposity and dysglycemia classifiers using the cardio-ankle vascular index (CAVI). METHODS: We evaluated 2070 subjects aged 25 to 64 years from a random population-based sample. Those with type 1 diabetes were excluded. ABCD and DBCD were defined, and ArSt risk was stratified based on the American Association of Clinical Endocrinologists criteria. RESULTS: The highest prevalence of a high CAVI was in stage 2 ABCD (18.5%) and stage 4 DBCD (31.8%), and the lowest prevalence was in stage 0 ABCD (2.2%). In univariate analysis, stage 2 ABCD and all DBCD stages increased the risk of having a high CAVI compared with traditional classifiers. After adjusting for age and gender, only an inverse association between obesity (body mass index ≥30 kg/m2) and CAVI remained significant. Nevertheless, body mass index was responsible for only 0.3% of CAVI variability. CONCLUSION: The ABCD and DBCD models showed better performance than traditional classifiers to detect subjects with ArSt; however, the variables were not independently associated with age and gender, which might be explained by the complexity and multifactoriality of the relationship of CAVI with the ABCD and DBCD models, mediated by insulin resistance.
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Enfermedades Cardiovasculares , Rigidez Vascular , Índice Tobillo Braquial , Índice de Masa Corporal , Enfermedades Cardiovasculares/epidemiología , Enfermedad Crónica , Endocrinólogos , Humanos , Factores de RiesgoRESUMEN
OBJECTIVE: To determine the prevalence rate and associated risk factors for each stage of the Dysglycemia-Based Chronic Disease (DBCD) model, which 4 distinct stages and prompts early prevention to avert Diabetes and cardiometabolic complications. METHODS: Subjects between 25 and 64 years old from a random population-based sample were evaluated in Czechia from 2013 to 2014 using a cross-sectional design. DBCD stages were: stage 1 "insulin resistance" (inferred risk from abdominal obesity or a family history of diabetes); stage 2 "prediabetes"(fasting glucose between 5.6 and 6.9 mmol/L); stage 3 "type 2 diabetes (T2D)" (self-report of T2D or fasting glucose ≥7 mmol/L); and stage 4 "vascular complications" (T2D with cardiovascular disease). RESULTS: A total of 2147 subjects were included (57.8% women) with a median age of 48 years. The prevalence of each DBCD stage were as follows: 54.2% (stage 1); 10.3% (stage 2), 3.7% (stage 3); and 1.2% (stage 4). Stages 2 to 4 were more frequent in men and stage 1 in women (P < .001). Using binary logistic regression analysis adjusting by age/sex, all DBCD stages were strongly associated with abnormal adiposity, hypertension, dyslipidemia, and smoking status. Subjects with lower educational levels and lower income were more likely to present DBCD. CONCLUSION: Using the new DBCD framework and available metrics, 69.4% of the population had DBCD, identifying far more people at risk than a simple prevalence rate for T2D (9.2% in Czechia, 2013-2014). All stages were associated with traditional cardiometabolic risk factors, implicating common pathophysiologic mechanisms and a potential for early preventive care. The social determinants of health were related with all DBCD stages in alarming proportions and will need to be further studied.
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Diabetes Mellitus Tipo 2 , Adulto , Glucemia , Enfermedad Crónica , Estudios Transversales , Diabetes Mellitus Tipo 2/epidemiología , Femenino , Humanos , Masculino , Persona de Mediana Edad , Prevalencia , Factores de RiesgoRESUMEN
PURPOSE OF REVIEW: As the obesity epidemic continues, there is a greater proportion of patients with overweight, obesity, and other forms of adiposity-based chronic disease that require intensive care. Nutrition therapy in the ICU is a vital part of critical care but can be challenging in this setting because of the increased risk of stress hyperglycemia and adverse impact of obesity- and diabetes-related complications. RECENT FINDINGS: Current guidelines favor early nutritional therapy with a hypocaloric, high-protein diet in patients with overweight/obesity. More aggressive protein intake may be useful in those with greater severity of overweight/obesity with an upper limit of 3âg/kg ideal body weight per day. Although there is no specific recommendation, choosing enteral formulas with higher fat content and slower digesting carbohydrates may assist with glucose control. Supplementation with immunonutrients is recommended, given their known benefits in obesity and in reducing inflammation, but must be done in an individualized manner. SUMMARY: Aggressive nutritional therapy is crucial in patients with overweight/obesity to support ongoing metabolic demands. Although a hypocaloric high-protein feeding strategy is a starting point, nutritional therapy should be approached in an individualized manner taking into account age, weight and BMI, basal metabolism, nutrition status, complications, and comorbidities.
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Glucemia/metabolismo , Cuidados Críticos/métodos , Terapia Nutricional/métodos , Obesidad/terapia , Sobrepeso/terapia , Restricción Calórica/métodos , Enfermedad Crítica/terapia , Dieta Rica en Proteínas/métodos , Suplementos Dietéticos , Humanos , Hiperglucemia/etiología , Hiperglucemia/prevención & control , Obesidad/sangre , Obesidad/complicaciones , Sobrepeso/sangre , Sobrepeso/complicacionesRESUMEN
The treatment of lipid disorders begins with lifestyle therapy to improve nutrition, physical activity, weight, and other factors that affect lipids. Secondary causes of lipid disorders should be addressed, and pharmacologic therapy initiated based on a patient's risk for atherosclerotic cardiovascular disease (ASCVD). Patients at extreme ASCVD risk should be treated with high-intensity statin therapy to achieve a goal low-density lipoprotein cholesterol (LDL-C) of <55 mg/dL, and those at very high ASCVD risk should be treated to achieve LDL-C <70 mg/dL. Treatment for moderate and high ASCVD risk patients may begin with a moderate-intensity statin to achieve an LDL-C <100 mg/dL, while the LDL-C goal is <130 mg/dL for those at low risk. In all cases, treatment should be intensified, including the addition of other LDL-C-lowering agents (i.e., proprotein convertase subtilisin/kexin type 9 inhibitors, ezetimibe, colesevelam, or bempedoic acid) as needed to achieve treatment goals. When targeting triglyceride levels, the desirable goal is <150 mg/dL. Statin therapy should be combined with a fibrate, prescription-grade omega-3 fatty acid, and/or niacin to reduce triglycerides in all patients with triglycerides ≥500 mg/dL, and icosapent ethyl should be added to a statin in any patient with established ASCVD or diabetes with ≥2 ASCVD risk factors and triglycerides between 135 and 499 mg/dL to prevent ASCVD events. Management of additional risk factors such as elevated lipoprotein(a) and statin intolerance is also described.
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Anticolesterolemiantes , Enfermedades Cardiovasculares , Dislipidemias , Inhibidores de Hidroximetilglutaril-CoA Reductasas , Algoritmos , Enfermedades Cardiovasculares/epidemiología , Enfermedades Cardiovasculares/prevención & control , Consenso , Dislipidemias/tratamiento farmacológico , Dislipidemias/epidemiología , Endocrinólogos , Humanos , Inhibidores de Hidroximetilglutaril-CoA Reductasas/uso terapéutico , Factores de Riesgo , Estados UnidosRESUMEN
The American Association of Clinical Endocrinologists (AACE) has created a transculturalized diabetes chronic disease care model that is adapted for patients across a spectrum of ethnicities and cultures. AACE has conducted several transcultural activities on global issues in clinical endocrinology and completed a 3-city series of conferences in December 2017 that focused on diabetes care for ethnic minorities in the U.S. Proceedings from the "Diabetes Care Across America" series of transcultural summits are presented here. Information from community leaders, practicing health care professionals, and other stakeholders in diabetes care is analyzed according to biological and environmental factors. Four specific U.S. ethnicities are detailed: African Americans, Latino/Hispanics, Asian Americans, and Native Americans. A core set of recommendations to culturally adapt diabetes care is presented that emphasizes culturally appropriate terminology, transculturalization of white papers, culturally adapting clinic infrastructure, flexible office hours, behavioral medicine-especially motivational interviewing and building trust-culturally competent nutritional messaging and health literacy, community partnerships for care delivery, technology innovation, clinical trial recruitment and retention of ethnic minorities, and more funding for scientific studies on epigenetic mechanisms of cultural impact on disease expression. It is hoped that through education, research, and clinical practice enhancements, diabetes care can be optimized in terms of precision and clinical outcomes for the individual and U.S. population as a whole.
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Diabetes Mellitus Tipo 2 , Endocrinología , Asiático , Endocrinólogos , Hispánicos o Latinos , Humanos , Sociedades Médicas , Estados UnidosRESUMEN
Objective: The development of these updated clinical practice guidelines (CPGs) was commissioned by the American Association of Clinical Endocrinologists (AACE), The Obesity Society, American Society of Metabolic and Bariatric Surgery, Obesity Medicine Association, and American Society of Anesthesiologists Boards of Directors in adherence with the AACE 2017 protocol for standardized production of CPGs, algorithms, and checklists. Methods: Each recommendation was evaluated and updated based on new evidence from 2013 to the present and subjective factors provided by experts. Results: New or updated topics in this CPG include: contextualization in an adiposity-based chronic disease complications-centric model, nuance-based and algorithm/checklist-assisted clinical decision-making about procedure selection, novel bariatric procedures, enhanced recovery after bariatric surgery protocols, and logistical concerns (including cost factors) in the current health-care arena. There are 85 numbered recommendations that have updated supporting evidence, of which 61 are revised and 12 are new. Noting that there can be multiple recommendation statements within a single numbered recommendation, there are 31 (13%) Grade A, 42 (17%) Grade B, 72 (29%) Grade C, and 101 (41%) Grade D recommendations. There are 858 citations, of which 81 (9.4%) are evidence level (EL) 1 (highest), 562 (65.5%) are EL 2, 72 (8.4%) are EL 3, and 143 (16.7%) are EL 4 (lowest). Conclusion: Bariatric procedures remain a safe and effective intervention for higher-risk patients with obesity. Clinical decision-making should be evidence based within the context of a chronic disease. A team approach to perioperative care is mandatory, with special attention to nutritional and metabolic issues. A1C = hemoglobin A1c; AACE = American Association of Clinical Endocrinologists; ABCD = adiposity-based chronic disease; ACE = American College of Endocrinology; ADA = American Diabetes Association; AHI = Apnea-Hypopnea Index; ASA = American Society of Anesthesiologists; ASMBS = American Society of Metabolic and Bariatric Surgery; BMI = body mass index; BPD = biliopancreatic diversion; BPD/DS = biliopancreatic diversion with duodenal switch; CI = confidence interval; CPAP = continuous positive airway pressure; CPG = clinical practice guideline; CRP = C-reactive protein; CT = computed tomography; CVD = cardiovascular disease; DBCD = dysglycemia-based chronic disease; DS = duodenal switch; DVT = deep venous thrombosis; DXA = dual-energy X-ray absorptiometry; EFA = essential fatty acid; EL = evidence level; EN = enteral nutrition; ERABS = enhanced recovery after bariatric surgery; FDA = U.S. Food and Drug Administration; G4G = Guidelines for Guidelines; GERD = gastroesophageal reflux disease; GI = gastrointestinal; HCP = health-care professional(s); HTN = hypertension; ICU = intensive care unit; IGB = intragastric balloon(s); IV = intravenous; LAGB = laparoscopic adjustable gastric band; LAGBP = laparoscopic adjustable gastric banded plication; LGP = laparoscopic greater curvature (gastric) plication; LRYGB = laparoscopic Roux-en-Y gastric bypass; LSG = laparoscopic sleeve gastrectomy; MetS = metabolic syndrome; NAFLD = nonalcoholic fatty liver disease; NASH = nonalcoholic steatohepatitis; NSAID = nonsteroidal anti-inflammatory drug; OA = osteoarthritis; OAGB = one-anastomosis gastric bypass; OMA = Obesity Medicine Association; OR = odds ratio; ORC = obesity-related complication(s); OSA = obstructive sleep apnea; PE = pulmonary embolism; PN = parenteral nutrition; PRM = pulmonary recruitment maneuver; RCT = randomized controlled trial; RD = registered dietician; RDA = recommended daily allowance; RYGB = Roux-en-Y gastric bypass; SG = sleeve gastrectomy; SIBO = small intestinal bacterial overgrowth; TOS = The Obesity Society; TSH = thyroid-stimulating hormone; T1D = type 1 diabetes; T2D = type 2 diabetes; VTE = venous thromboembolism; WE = Wernicke encephalopathy; WHO = World Health Organization.
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Cirugía Bariátrica , Diabetes Mellitus Tipo 2 , Balón Gástrico , Derivación Gástrica , Laparoscopía , Obesidad , Anestesiólogos , Endocrinólogos , Humanos , Estados UnidosRESUMEN
The American Association of Clinical Endocrinologists (AACE) has created a dysglycemia-based chronic disease (DBCD) multimorbidity care model consisting of four distinct stages along the insulin resistance-prediabetes-type 2 diabetes (T2D) spectrum that are actionable in a preventive care paradigm to reduce the potential impact of T2D, cardiometabolic risk, and cardiovascular events. The controversy of whether there is value, cost-effectiveness, or clinical benefit of diagnosing and/or managing the prediabetes state is resolved by regarding the problem, not in isolation, but as an intermediate stage in the continuum of a progressive chronic disease with opportunities for multiple concurrent prevention strategies. In this context, stage 1 represents "insulin resistance," stage 2 "prediabetes," stage 3 "type 2 diabetes," and stage 4 "vascular complications." This model encourages earliest intervention focusing on structured lifestyle change. Further scientific research may eventually reclassify stage 2 DBCD prediabetes from a predisease to a true disease state. This position statement is consistent with a portfolio of AACE endocrine disease care models, including adiposity-based chronic disease, that prioritize patient-centered care, evidence-based medicine, complexity, multimorbid chronic disease, the current health care environment, and a societal mandate for a higher value attributed to good health. Ultimately, transformative changes in diagnostic coding and reimbursement structures for prediabetes and T2D can provide improvements in population-based endocrine health care. Abbreviations: A1C = hemoglobin A1c; AACE = American Association of Clinical Endocrinologists; ABCD = adiposity-based chronic disease; CVD = cardiovascular disease; DBCD = dysglycemia-based chronic disease; FPG = fasting plasma glucose; GLP-1 = glucagon-like peptide-1; MetS = metabolic syndrome; T2D = type 2 diabetes.
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Diabetes Mellitus Tipo 2 , Endocrinología , Glucemia , Enfermedad Crónica , Endocrinólogos , Hemoglobina Glucada , Humanos , Obesidad , Estado Prediabético , Sociedades Médicas , Estados UnidosRESUMEN
OBJECTIVE: To determine the prevalence of obesity according to the American Association of Clinical Endocrinologists/American College of Endocrinology (AACE/ACE) framework based on a complications-centric model with further application of the Cardiometabolic Disease Staging (CMDS) system in a Venezuelan population. METHODS: A total of 1,320 adults were randomly selected from 3 regions. The AACE/ACE framework definitions were as follows: overweight, body mass index (BMI) 25 to 29.9 kg/m2 and no obesity-related complications (ORC); obesity stage 0, BMI ≥30 and no ORC; stage 1, BMI ≥25 and 1 or more mild-to-moderate ORC; and stage 2, BMI ≥25 and 1 or more severe ORC. CMDS definitions were as follows: stage 0, no metabolic syndrome (MS) components; stage 1, 1 to 2 MS components without impaired fasting glucose (IFG); stage 2, IFG or ≥3 MS components but without IFG; stage 3, IFG and MS; and stage 4, type 2 diabetes (T2D) or cardiovascular disease. RESULTS: The mean age was 44.8 ± 0.4 years, and 68.5% were female. The prevalence of obesity according to the AACE/ACE framework was 63.1%: overweight 3.0% (95% confidence interval [CI]: 2.1-3.9); obesity stage 0: 0.1% (0.07-0.27); obesity stage 1: 26.6% (24.2-29.0); and obesity stage 2: 36.4% (33.8-39.0). Most subjects with a BMI <25 were CMDS 0 or 1. In those with BMI ≥ 25, only 4.6% were CMDS 0. The prevalence of obesity according to the World Health Organization (WHO, BMI ≥30) was 29.3% (24.7-33.7). CONCLUSION: In a general population study, applying the AACE/ACE framework for obesity and CMDS increased the detection of ORC and therefore higher risk subjects compared to classic anthropometric measurements. ABBREVIATIONS: AACE = American Association of Clinical Endocrinologists; ACE = American College of Endocrinology; BMI = body mass index; CMDS = Cardiometabolic Disease Staging; DALY = disability-adjusted life years; LA = Latin America; MS = metabolic syndrome; ORC = obesity-related complications; WC = waist circumference; WHO = World Health Organization.
Asunto(s)
Enfermedades Cardiovasculares/epidemiología , Diabetes Mellitus Tipo 2/epidemiología , Intolerancia a la Glucosa/epidemiología , Síndrome Metabólico/epidemiología , Obesidad/epidemiología , Adulto , Glucemia/metabolismo , Presión Sanguínea , Índice de Masa Corporal , Enfermedades Cardiovasculares/metabolismo , HDL-Colesterol/metabolismo , Diabetes Mellitus Tipo 2/metabolismo , Endocrinología , Femenino , Intolerancia a la Glucosa/metabolismo , Humanos , Hipertensión/epidemiología , Masculino , Síndrome Metabólico/metabolismo , Persona de Mediana Edad , Obesidad/metabolismo , Sobrepeso/epidemiología , Sobrepeso/metabolismo , Prevalencia , Índice de Severidad de la Enfermedad , Sociedades Médicas , Triglicéridos/metabolismo , Estados Unidos , Venezuela/epidemiología , Circunferencia de la Cintura , Organización Mundial de la SaludRESUMEN
The American Association of Clinical Endocrinologists (AACE) and American College of Endocrinology (ACE) have created a chronic care model, advanced diagnostic framework, clinical practice guidelines, and clinical practice algorithm for the comprehensive management of obesity. This coordinated effort is not solely based on body mass index as in previous models, but emphasizes a complications-centric approach that primarily determines therapeutic decisions and desired outcomes. Adiposity-Based Chronic Disease (ABCD) is a new diagnostic term for obesity that explicitly identifies a chronic disease, alludes to a precise pathophysiologic basis, and avoids the stigmata and confusion related to the differential use and multiple meanings of the term "obesity." Key elements to further the care of patients using this new ABCD term are: (1) positioning lifestyle medicine in the promotion of overall health, not only as the first algorithmic step, but as the central, pervasive action; (2) standardizing protocols that comprehensively and durably address weight loss and management of adiposity-based complications; (3) approaching patient care through contextualization (e.g., primordial prevention to decrease obesogenic environmental risk factors and transculturalization to adapt evidence-based recommendations for different ethnicities, cultures, and socio-economics); and lastly, (4) developing evidence-based strategies for successful implementation, monitoring, and optimization of patient care over time. This AACE/ACE blueprint extends current work and aspires to meaningfully improve both individual and population health by presenting a new ABCD term for medical diagnostic purposes, use in a complications-centric management and staging strategy, and precise reference to the obesity chronic disease state, divested from counterproductive stigmata and ambiguities found in the general public sphere. ABBREVIATIONS: AACE = American Association of Clinical Endocrinologists ABCD = Adiposity-Based Chronic Disease ACE = American College of Endocrinology BMI = body mass index CPG = clinical practice guidelines HCP = health care professionals.
Asunto(s)
Adiposidad , Endocrinólogos , Endocrinología , Terminología como Asunto , Enfermedad Crónica , Humanos , Obesidad/epidemiología , Guías de Práctica Clínica como Asunto , Sociedades MédicasRESUMEN
Clinical practice guideline (CPG), clinical practice algorithm (CPA), and clinical checklist (CC, collectively CPGAC) development is a high priority of the American Association of Clinical Endocrinologists (AACE) and American College of Endocrinology (ACE). This 2017 update in CPG development consists of (1) a paradigm change wherein first, environmental scans identify important clinical issues and needs, second, CPA construction focuses on these clinical issues and needs, and third, CPG provide CPA node/edge-specific scientific substantiation and appended CC; (2) inclusion of new technical semantic and numerical descriptors for evidence types, subjective factors, and qualifiers; and (3) incorporation of patient-centered care components such as economics and transcultural adaptations, as well as implementation, validation, and evaluation strategies. This third point highlights the dominating factors of personal finances, governmental influences, and third-party payer dictates on CPGAC implementation, which ultimately impact CPGAC development. The AACE/ACE guidelines for the CPGAC program is a successful and ongoing iterative exercise to optimize endocrine care in a changing and challenging healthcare environment. ABBREVIATIONS: AACE = American Association of Clinical Endocrinologists ACC = American College of Cardiology ACE = American College of Endocrinology ASeRT = ACE Scientific Referencing Team BEL = best evidence level CC = clinical checklist CPA = clinical practice algorithm CPG = clinical practice guideline CPGAC = clinical practice guideline, algorithm, and checklist EBM = evidence-based medicine EHR = electronic health record EL = evidence level G4GAC = Guidelines for Guidelines, Algorithms, and Checklists GAC = guidelines, algorithms, and checklists HCP = healthcare professional(s) POEMS = patient-oriented evidence that matters PRCT = prospective randomized controlled trial.
Asunto(s)
Algoritmos , Lista de Verificación , Endocrinología , Humanos , Estándares de Referencia , Sociedades Médicas , Estados UnidosRESUMEN
OBJECTIVE: The development of these guidelines is mandated by the American Association of Clinical Endocrinologists (AACE) Board of Directors and American College of Endocrinology (ACE) Board of Trustees and adheres with published AACE protocols for the standardized production of clinical practice guidelines (CPGs). METHODS: Recommendations are based on diligent reviews of the clinical evidence with transparent incorporation of subjective factors, according to established AACE/ACE guidelines for guidelines protocols. RESULTS: The Executive Summary of this document contains 87 recommendations of which 45 are Grade A (51.7%), 18 are Grade B (20.7%), 15 are Grade C (17.2%), and 9 (10.3%) are Grade D. These detailed, evidence-based recommendations allow for nuance-based clinical decision-making that addresses multiple aspects of real-world medical care. The evidence base presented in the subsequent Appendix provides relevant supporting information for Executive Summary Recommendations. This update contains 695 citations of which 203 (29.2 %) are EL 1 (strong), 137 (19.7%) are EL 2 (intermediate), 119 (17.1%) are EL 3 (weak), and 236 (34.0%) are EL 4 (no clinical evidence). CONCLUSION: This CPG is a practical tool that endocrinologists, other health care professionals, health-related organizations, and regulatory bodies can use to reduce the risks and consequences of dyslipidemia. It provides guidance on screening, risk assessment, and treatment recommendations for a range of individuals with various lipid disorders. The recommendations emphasize the importance of treating low-density lipoprotein cholesterol (LDL-C) in some individuals to lower goals than previously endorsed and support the measurement of coronary artery calcium scores and inflammatory markers to help stratify risk. Special consideration is given to individuals with diabetes, familial hypercholesterolemia, women, and youth with dyslipidemia. Both clinical and cost-effectiveness data are provided to support treatment decisions. ABBREVIATIONS: 4S = Scandinavian Simvastatin Survival Study A1C = glycated hemoglobin AACE = American Association of Clinical Endocrinologists AAP = American Academy of Pediatrics ACC = American College of Cardiology ACE = American College of Endocrinology ACS = acute coronary syndrome ADMIT = Arterial Disease Multiple Intervention Trial ADVENT = Assessment of Diabetes Control and Evaluation of the Efficacy of Niaspan Trial AFCAPS/TexCAPS = Air Force/Texas Coronary Atherosclerosis Prevention Study AHA = American Heart Association AHRQ = Agency for Healthcare Research and Quality AIM-HIGH = Atherothrombosis Intervention in Metabolic Syndrome With Low HDL/High Triglycerides trial ASCVD = atherosclerotic cardiovascular disease ATP = Adult Treatment Panel apo = apolipoprotein BEL = best evidence level BIP = Bezafibrate Infarction Prevention trial BMI = body mass index CABG = coronary artery bypass graft CAC = coronary artery calcification CARDS = Collaborative Atorvastatin Diabetes Study CDP = Coronary Drug Project trial CI = confidence interval CIMT = carotid intimal media thickness CKD = chronic kidney disease CPG(s) = clinical practice guideline(s) CRP = C-reactive protein CTT = Cholesterol Treatment Trialists CV = cerebrovascular CVA = cerebrovascular accident EL = evidence level FH = familial hypercholesterolemia FIELD = Secondary Endpoints from the Fenofibrate Intervention and Event Lowering in Diabetes trial FOURIER = Further Cardiovascular Outcomes Research with PCSK9 Inhibition in Subjects With Elevated Risk trial HATS = HDL-Atherosclerosis Treatment Study HDL-C = high-density lipoprotein cholesterol HeFH = heterozygous familial hypercholesterolemia HHS = Helsinki Heart Study HIV = human immunodeficiency virus HoFH = homozygous familial hypercholesterolemia HPS = Heart Protection Study HPS2-THRIVE = Treatment of HDL to Reduce the Incidence of Vascular Events trial HR = hazard ratio HRT = hormone replacement therapy hsCRP = high-sensitivity CRP IMPROVE-IT = Improved Reduction of Outcomes: Vytorin Efficacy International Trial IRAS = Insulin Resistance Atherosclerosis Study JUPITER = Justification for the Use of Statins in Primary Prevention: An Intervention Trial Evaluating Rosuvastatin LDL-C = low-density lipoprotein cholesterol Lp-PLA2 = lipoprotein-associated phospholipase A2 MACE = major cardiovascular events MESA = Multi-Ethnic Study of Atherosclerosis MetS = metabolic syndrome MI = myocardial infarction MRFIT = Multiple Risk Factor Intervention Trial NCEP = National Cholesterol Education Program NHLBI = National Heart, Lung, and Blood Institute PCOS = polycystic ovary syndrome PCSK9 = proprotein convertase subtilisin/kexin type 9 Post CABG = Post Coronary Artery Bypass Graft trial PROSPER = Prospective Study of Pravastatin in the Elderly at Risk trial QALY = quality-adjusted life-year ROC = receiver-operator characteristic SOC = standard of care SHARP = Study of Heart and Renal Protection T1DM = type 1 diabetes mellitus T2DM = type 2 diabetes mellitus TG = triglycerides TNT = Treating to New Targets trial VA-HIT = Veterans Affairs High-Density Lipoprotein Cholesterol Intervention Trial VLDL-C = very low-density lipoprotein cholesterol WHI = Women's Health Initiative.