Anti-Obesity Pharmacotherapy and the Potential for Preventing Progression from Prediabetes to Type 2 Diabetes

Objective: Type 2 diabetes and its associated complications place heavy burdens on affected individuals, their caregivers, and society. The prevalence of type 2 diabetes is increasing worldwide. Attempts to combat this problem have been extended to the treatment of obesity and prevention of progression from prediabetes to type 2 diabetes. As such, weight loss is an important component of type 2 diabetes prevention. However, successful strategies for achieving sustained weight loss have remained elusive. Although lifestyle modification remains a cornerstone of this approach, it has become clear that changes to lifestyle alone will not suffice for many patients. A pragmatic approach includes consideration of pharmacotherapeutic options.Methods: This review discusses the different pharmacotherapeutic options for the treatment of obesity and prediabetes.Results: Approved anti-obesity therapies and antihyperglycemic agents associated with weight loss may prove effective earlier in the treatment paradigm, and other promising agents that are in clinical development for chronic weight management show promise for both weight reduction and a reduction in the risk of type 2 diabetes in high-risk individuals.Conclusion: Long-term evaluation of safety and efficacy is required for many of these agents before we can begin to optimize their use in clinical practice, but treatment choices for obese or prediabetic patients are increasing.Abbreviations: AACE = American Association of Clinical Endocrinologists ADA = American Diabetes Association AE = adverse event AMA = American Medical Association BMI = body mass index CI = confidence interval CR = controlled release DPP = Diabetes Prevention Program IFG = impaired fasting glucose IGT = impaired glucose tolerance FDA = Food and Drug Administration FPG = fasting plasma glucose GLP-1 = glucagon-like peptide-1 GLP-1 RA = glucagon-like peptide-1 receptor agonist HbA_1c= glycosylated hemoglobin ITT-LOCF = intention-totreat with last observation carried forward LS = least squares NB = naltrexone/bupropion OR = odds ratio PHEN = phentermine PYE = patient years of exposure PYY = peptide YY SGLT-2 = sodium glucose cotransporter 2 TPM = topiramate TZD = thiazolidinedione     

Patient Perspectives on Obesity Management: Need for Greater Discussion of BMI and Weight-Loss Options Beyond Diet and Exercise,Especially in Patients With Diabetes

Objective: To identify perceptions of obesity management in patients with and without diabetes.Methods: A 48-question survey was administered in 2018 to our Endocrinology Clinic's adult patients with a body mass index (BMI) ≥30 kg/m². Chi-squared or Fisher's exact tests were used to compare variables between groups.Results: Of 146 respondents, 105 had diabetes and 41 did not. Most respondents were female (61.4%), African American (66.4%), and with an income <$50,000 (58.6%). Those with diabetes had significantly greater comorbidities of hypertension, high cholesterol, and arthritis. Over 90% in both groups agreed that obesity is related to hypertension, diabetes, heart disease, and early death. Only 48% were aware of their BMI, and only 30.5% with diabetes and 41.5% without diabetes perceived themselves to be obese. Over 60% in each group reported discussion of diet and exercise with their providers, whereas few in both groups reported referral to a formal weight-loss program (18.9%) or to a specialty that manages obesity (4.2%), or discussion of anti-obesity medications (11.2%) or bariatric surgery (8.4%). Reported concerns with anti-obesity medications and bariatric surgery included lack of knowledge and side effects or complications.Conclusion: These findings revealed excellent patient awareness of obesity as a health problem but misperception of obese status and unawareness of BMI. Presence of diabetes and other comorbidities did not result in greater discussion of weight-loss methods beyond diet and exercise. Increased patient education and discussion of specific weight-loss services, anti-obesity medications, and bariatric surgery are needed.Abbreviations: BMI = body mass index; DM = diabetes mellitus; HbA1c = hemoglobin A1c; HCP = healthcare provider     

Identifying Probable Diabetes Mellitus Among Hispanics/Latinos from Four U.S. Cities: Findings from the Hispanic Community Health Study/Study of Latinos

Objective: The aim of this study was to compare the ability of American Diabetes Association (ADA) diagnostic criteria to identify U.S. Hispanics/Latinos from diverse heritage groups with probable diabetes mellitus and assess cardiovascular risk factor correlates of those criteria.Methods: Cross-sectional analysis of data from 15,507 adults from 6 Hispanic/Latino heritage groups, enrolled in the Hispanic Community Health Study/Study of Latinos. The prevalence of probable diabetes mellitus was estimated using individual or combinations of ADA-defined cut points. The sensitivity and specificity of these criteria at identifying diabetes mellitus from ADA-defined prediabetes and normoglycemia were evaluated. Prevalence ratios of hypertension, abnormal lipids, and elevated urinary albumin-creatinine ratio for unrecognized diabetes mellitus—versus prediabetes and normoglycemia—were calculated.Results: Among Hispanics/Latinos (mean age, 43 years) with diabetes mellitus, 39.4% met laboratory test criteria for probable diabetes, and the prevalence varied by heritage group. Using the oral glucose tolerance test as the gold standard, the sensitivity of fasting plasma glucose (FPG) and hemoglobin A1c—alone or in combination—was low (18, 23, and 33%, respectively) at identifying probable diabetes mellitus. Individuals who met any criterion for probable diabetes mellitus had significantly higher (P<.05) prevalence of most cardiovascular risk factors than those with normoglycemia or prediabetes, and this association was not modified by Hispanic/Latino heritage group.Conclusion: FPG and hemoglobin A1c are not sensitive (but are highly specific) at detecting probable diabetes mellitus among Hispanics/Latinos, independent of heritage group. Assessing cardiovascular risk factors at diagnosis might prompt multitarget interventions and reduce health complications in this young population.Abbreviations:2hPG = 2-hour post–glucose load plasma glucoseADA = American Diabetes AssociationBMI = body mass indexCV = cardiovascularFPG = fasting plasma glucoseHbA1c = hemoglobin A1cHCHS/SOL = Hispanic Community Health Study/Study of LatinosHDL-C = high-density-lipoprotein cholesterolNGT = normal glucose toleranceNHANES = National Health and Nutrition Examination SurveyOGTT = oral glucose tolerance testTG = triglycerideUACR = urine albumin-creatinine ratio     

The Relationship Between Adverse Childhood Experiences and Diabetes in Central Michigan Adults

Objective: Adverse childhood experiences (ACEs) predispose individuals to poor health outcomes as adults. Although a dose-response relationship between the number of ACEs and certain chronic illnesses has been shown, the impact of ACEs on diabetes is not thoroughly understood. We investigated the prevalence of ACEs in patients with diabetes and the potential relationship to the severity of diabetes.Methods: Patients with diabetes (both type 1 and type 2) or obesity were surveyed from the Endocrinology & Diabetes Center at McLaren Central Michigan in Mount Pleasant, Michigan. A validated, standard ACE questionnaire was administered to quantify the number of adverse childhood events that patients have experienced. A retrospective chart analysis was then conducted, addressing the relationship of ACEs with the severity of disease in the diabetes group and the obesity group. The number of ACEs was correlated with disease comorbidities, complications, and measurable quantities, such as body mass index (BMI) and hemoglobin A1c (HbA1c).Results: ACE scores in both diabetes and obesity groups were shown to have a greater prevalence compared to the general ACE average in Michigan. ACE scores also positively correlated to BMI and HbA1c in the diabetes group. Those with higher ACE scores in the diabetes group were also more likely to have depression and anxiety.Conclusion:ACE screening may lead to a greater understanding of the severity of and progression of diabetes. Ultimately, these results could provide support to potential interventional studies leading to the altered management of diabetes in patients with ACEs, or preventative intervention to children with ACEs.Abbreviations: ACE = adverse childhood experiences; BMI = body mass index; HbA1c = hemoglobin A1c; T1DM = type 1 diabetes mellitus; T2DM = type 2 diabetes mellitus     

Performance of A1C Versus Ogtt for the Diagnosis of Prediabetes in a Community-Based Screening

Objective: Reliable identification of individuals at risk for developing diabetes is critical to instituting preventative strategies. Studies suggest that the accuracy of using hemoglobin A1c as a sole diagnostic criterion for diabetes may be variable across different ethnic groups. We postulate that there will be lack of concordance between A1c and the oral glucose tolerance test (OGTT) for diagnosing prediabetes across Hispanic and non-Hispanic white (NHW) populations.Methods: A total of 218 asymptomatic adults at risk for type 2 diabetes (T2D) were assessed with A1c and OGTT for the diagnosis of prediabetes. Glucose homeostasis status was assigned as no diabetes (A1c <5.7% [39 mmol/mol]), prediabetes (A1c 5.7 to 6.4% [46 mmol/mol]), and T2D (A1c >6.4% [46 mmol/mol]). Inclusion criteria were age >18 years and at least one of the following: a family history of diabetes, a history of gestational diabetes, Hispanic ethnicity, non-Caucasian race, or obesity. Subjects received a fasting 75-g OGTT and A1c on the same day. Bowker's test of symmetry was employed to determine agreement between the tests.Results: Data from 99 Hispanic patients and 79 NHW patients were analyzed. There was no concordance between A1c and OGTT for Hispanic (P =.002) or NHW individuals (P =.003) with prediabetes.Conclusion: A1c is discordant with OGTT among Hispanic and NHW subjects for the diagnosis of prediabetes. Sole use of A1c to designate glycemic status will result in a greater prevalence of prediabetes among Hispanic and NHW New Mexicans.Abbreviations:A1c = hemoglobin A1cBMI = body mass indexCDC = Centers for Disease ControlCI = confidence intervalFPG = fasting plasma glucoseNHW = non-Hispanic whiteOGTT = oral glucose tolerance testT2D = type 2 diabetesWHO = World Health Organization     

Clinical Recognition and Management of Patients with Prediabetes

Objective: Early identification and management of prediabetes is critical to prevent progression to diabetes. We aimed to assess whether prediabetes is appropriately recognized and managed among patients with impaired fasting glucose (IFG).Methods: We carried out an observational study of Olmsted County residents evaluated at the Mayo Clinic between 1999–2017. We randomly selected 108 subjects with biochemical criteria of IFG and 105 normoglycemic subjects. We reviewed their health records at baseline (1999–2004) and during follow up (2005–2017) collecting demographic and clinical data including vitals, diagnoses, laboratory, and medications associated with cardiovascular comorbidities. The main outcome was documentation of any recognition of prediabetes and management recommendations (lifestyle changes and/or medications).Results: At baseline (1999–2004), 26.85% (29/108) of subjects with IFG were recognized as having prediabetes, and of these 75.86% (22/29) received management recommendations with 6.9% (2/29) getting metformin. During follow-up (2005–2017), 26.67% (28/105) of initial cohort of normoglycemic subjects developed incident IFG and of these, 85.71% (24/28) were recognized as having prediabetes, and 58.33% (14/24) received management recommendations. During the entire study period, 62.50% (85/136) were recognized as having prediabetes of which 75.29% (64/85) had documented management recommendations. High body mass index (BMI) (≥35) was associated with increased recognition (odds ratio &lsqb;OR] 3.66; confidence interval &lsqb;CI] 1.065, 12.500; P = .0395), and normal BMI (<25) was associated with a lack of recognition (OR 0.146; CI 0.189, 0.966; P = .0413).Conclusion: Despite evidence supporting the efficacy of lifestyle changes and medications in managing prediabetes, this condition is not fully recognized in routine clinical practice. Increased awareness of diagnostic criteria and appropriate management are essential to enhance diabetes prevention.Abbreviations: BMI = body mass index; CI = confidence interval; EHR = electronic health records; FBG = fasting blood glucose; IFG = impaired fasting glucose; IGT = impaired glucose tolerance; OR = odds ratio     

Diabetes and Prediabetes are Significantly Higher in Morbidly Obese Children Compared With Obese Children

Objective: The objective of this study was to examine the prevalence and characteristics of comorbidities in obese and morbidly obese children with a comparison between the 2 sets of children.Methods: This was a retrospective electronic chart review of obese and morbidly obese children and adolescents as defined by body mass index. We evaluated medical history of comorbid conditions, medication use, and cardiovascular risk markers, including blood pressure, lipid profile, and glycosylated hemoglobin.Results: There were 1,111 subjects (African American = 635; non-Hispanic white = 364; Hispanic = 36; others = 86), of which 274 were obese and 837 were morbidly obese children with a mean age of 12.7 ± 3.37 years. Morbidly obese children had a higher prevalence of prediabetes (19.5% of obese versus 27.3% of morbidly obese; P<.0001) and type 2 diabetes (39.8% of obese versus 52.4% of morbidly obese; P<.0001). Use of medications for treatment of asthma was significantly higher in the morbidly obese group compared with the obese group (21% versus 14%; P = .01).Conclusion: Morbidly obese children have a higher prevalence of diabetes, prediabetes, and use of asthma medications compared with obese children.Abbreviations: AA = African American ADHD = attention deficit hyperactivity disorder BMI = body mass index BP = blood pressure CVD = cardiovascular disease DBP = diastolic blood pressure EMR = electronic medical record GERD = gastroesophageal reflux disease HbA_1c = glycated hemoglobin HDL = high-density lipoprotein HTN = hypertension LDL = low-density lipoprotein NHW = non-Hispanic white SBP = systolic blood pressure T2DM = type 2 diabetes mellitus     

Opportunistic Screening For Diabetes And Prediabetes Using Hemoglobin A1C In An Urban Primary Care Setting

Objective: In 2010, the American Diabetes Association (ADA) endorsed hemoglobin A1c (HbA1c) as 1 of 3 tests for diabetes and prediabetes screening. We describe the use of HbA1c testing for screening during routine visits in primary care clinics of an urban health care system in the U.S.Methods: In 2013 to 2014, retrospective analyses of deidentified electronic health records over a 2-year period, January 2010 to December 2011, for academic private practices (clinic group 1) and federally-qualified Community Health Centers (clinic group 2) identified 11,885 adults without prior diabetes or recent HbA1c testing. We estimated the proportion of patients eligible for screening according to ADA and U.S. Preventative Services Task Force (USPSTF) guidelines and calculated the potential yield of previously undiagnosed diabetes or prediabetes among those who received at least 1 HbA1c test.Results: Overall, 3,316 and 5,613 patients of clinic groups 1 and 2 (75.2% of each) were eligible for screening by ADA guidelines, while only 1,764 (39.9%) of clinic group 1 and 3,799 (50.9%) of clinic group 2 were eligible by USPSTF guidelines. In those eligible by either guideline, 731 (21.4%) patients of clinic group 1 and 1,293 (21.5%) of clinic group 2 received HbA1c testing; among these, in 71 (9.7%) and 121 (9.4%) patients from clinic groups 1 and 2, respectively, HbA1c results were in the diabetes range, and in 330 (45.2%) and 733 (56.7%), results were in the prediabetes range.Conclusion: In urban primary care settings, appropriate HbA1c testing could result in the detection of a substantial number of previously undiagnosed diabetes and prediabetes cases needing treatment.Abbreviations:ADA = American Diabetes AssociationBMI = body mass indexCI = confidence intervalEHR = electronic health recordHbA1c = hemoglobin A1cHTN = hypertensionICD = International Classification of DiseasesIFCC = International Federation of Clinical ChemistryOGTT = oral glucose tolerance testUSPSTF = U.S. Preventative Services Task Force     

Prevalence of Diabetes,Prediabetes, and Stress Hyperglycemia: Insulin Therapy and Metabolic Control in Patients on Total Parenteral Nutrition (Prospective Multicenter Study)

ObjectiveThe prevalence of carbohydrate metabolism disorders in patients who receive total parenteral nutrition (TPN) is not well known. These disorders can affect the treatment, metabolic control, and prognosis of affected patients. The aims of this study were to determine the prevalence in noncritically ill patients on TPN of diabetes, prediabetes, and stress hyperglycemia; the factors affecting hyperglycemia during TPN; and the insulin therapy provided and the metabolic control achieved.MethodsWe undertook a prospective multicenter study involving 19 Spanish hospitals. Noncritically ill patients who were prescribed TPN were included, and data were collected on demographic, clinical, and laboratory variables (glycated hemoglobin, C-reactive protein [CRP], capillary blood glucose) as well as insulin treatment.ResultsThe study included 605 patients. Before initiation of TPN, the prevalence of known diabetes was 17.4%, unknown diabetes 4.3%, stress hyperglycemia 7.1%, and prediabetes 27.8%. During TPN therapy, 50.9% of patients had at least one capillary blood glucose of > 180 mg/dL. Predisposing factors were age, levels of CRP and glycated hemoglobin, the presence of diabetes, infectious complications, the number of grams of carbohydrates infused, and the administration of glucose-elevating drugs. Most (71.6%) patients were treated with insulin. The mean capillary blood glucose levels during TPN were: known diabetes (178.6 ± 46.5 mg/dL), unknown diabetes (173.9 ± 51.9), prediabetes (136.0 ± 25.4), stress hyperglycemia (146.0 ± 29.3), and normal (123.2 ± 19.9) (P < .001).ConclusionThe prevalence of carbohydrate metabolism disorders is very high in noncritically ill patients on TPN. These disorders affect insulin treatment and the degree of metabolic control achieved. (Endocr Pract. 2015;21:59-67)     

HbA1c and Blood Pressure Measurements: Relation with Gender,Body Mass Index,Study Field,and Lifestyle in Lebanese Students

Objective: The purpose of this study is to determine the prevalence of prediabetes/diabetes in Lebanese university students and to examine the relationship between both hemoglobin A1c (HbA1c) and blood pressure (BP) and gender, body mass index (BMI), study field, and lifestyle factors.Methods: This cross-sectional study was carried out at the Saint-Joseph University of Beirut. A total of 603 students aged 18 to 25 years were recruited from both the medical science campus (MSC) and the social science campus (SSC) between January, 2016, and May, 2018. Waist circumference (WC), BMI, and BP were determined for each student and HbA1c was measured using the Siemens vintage DCA device. Participants completed a self-administered questionnaire about their eating habits and level of physical activity.Results: The mean age of the population was 20.31 ± 1.76 years. The percentage of participants recruited from the MSC was 59.2%. The prevalence of prediabetes was 2.5%. Lower BMI, WC, and HbA1c values, and higher diastolic BP (DBP) were found in MSC students compared to SSC ones. HbA1c, systolic BP (SBP), and DBP were correlated with BMI (P = .02, P<.0001, and P = .017, respectively). HbA1c was not associated with eating habits or physical activity. DBP was inversely associated with physical activity (P = .002), while SBP was positively associated with fast food consumption (P = .003).Conclusion: The present study shows a low prevalence of prediabetes in Lebanese students. BMI and the study field are the main factors predicting HbA1c and BP. Further studies are needed to extrapolate our results to the overall young Lebanese population.Abbreviations: ADA = American Diabetes Association; BMI = body mass index; BP = blood pressure; DBP = diastolic blood pressure; HbA1c = hemoglobin A1c; HTN = hypertension; MSC = medical science campus; SBP = systolic blood pressure; SSC = social science campus; T2D = type 2 diabetes; US = United States; USJ = Saint-Joseph University; WC = waist circumference     

Risk Factors for Hypoglycemia in Inpatients with Total Parenteral Nutrition and Type 2 Diabetes: A Post HOC Analysis of the Insupar Study

Objective: Treatment of hyperglycemia with insulin is associated with increased risk of hypoglycemia in type 2 diabetes mellitus (T2DM) patients receiving total parenteral nutrition (TPN). The aim of this study was to determine the predictors of hypoglycemia in hospitalized T2DM patients receiving TPN.Methods: Post hoc analysis of the INSUPAR study, which is a prospective, open-label, multicenter clinical trial of adult inpatients with T2DM in a noncritical setting with indication for TPN.Results: The study included 161 patients; 31 patients (19.3%) had hypoglycemic events, but none of them was severe. In univariate analysis, hypoglycemia was significantly associated with the presence of diabetes with end-organ damage, duration of diabetes, use of insulin prior to admission, glycemic variability (GV), belonging to the glargine insulin group in the INSUPAR trial, mean daily grams of lipids in TPN, mean insulin per 10 grams of carbohydrates, duration of TPN, and increase in urea during TPN. Multiple logistic regression analysis showed that the presence of diabetes with end-organ damage, GV, use of glargine insulin, and TPN duration were risk factors for hypoglycemia.Conclusion: The presence of T2DM with end-organ damage complications, longer TPN duration, belonging to the glargine insulin group, and greater GV are factors associated with the risk of hypoglycemia in diabetic noncritically ill inpatients with parenteral nutrition.Abbreviations: ADA = American Diabetes Association; BMI = body mass index; CV% = coefficient of variation; DM = diabetes mellitus; GI = glargine insulin; GV = glycemic variability; ICU = intensive care unit; RI = regular insulin; T2DM = type 2 diabetes mellitus; TPN = total parenteral nutrition     

Case Finding for Hypothyroidism Should Include Type 2 Diabetes and Metabolic Syndrome Patients: A Latin American Thyroid Society (LATS) Position Statement

Objective: Latin American Thyroid Society (LATS) Hypothyroidism Clinical Practice Guidelines recommend case finding of hypothyroid patients in multiple and different situations that agree with other Society guidelines. However, the detection of hypothyroidism in type 2 diabetes mellitus (T2DM) or metabolic syndrome (MetS) patients is not mentioned in particular. In the recent years, several basic and epidemiologic studies have appeared showing that a lower thyroid function and MetS/T2DM are associated. Hence, the aim of this review is to manifest the LATS position on the diagnosis of hypothyroidism in both MetS and T2DM patients.Methods: A search was made in PubMed using the following terms: “hypothyroidism” AND “diabetes” OR “metabolic syndrome.” The most relevant studies describing the prevalence and complications due to hypothyroidism in both MetS and T2DM patients were selected.Results: The current document reviews new information from studies that have shown that the prevalence of hypothyroidism is higher in T2DM patients (odds ratio &lsqb;OR], 3.45; 95% confidence interval &lsqb;CI], 2.5 to 4.7) and that diabetic complications are more prevalent in subclinical hypothyroidism (ScH). The incidence of T2DM is 1.09-fold higher with each doubling of thyroid-stimulating hormone (TSH) mIU/L (95% CI, 1.06 to 1.12), and the incidence of prediabetes increases 15% (hazard ratio, 1.15; 95% CI, 1.04 to 1.26) in patients with TSH >5 mIU/L. Similarly, MetS is more prevalent in ScH compared to euthyroid individuals (OR, 1.31; 95% CI, 1.08 to 1.60).Conclusion: Thyroid function is affected in MetS and T2DM, and hypothyroidism is more common in these patients. Diabetic complications are more frequent in ScH patients. Therefore, LATS now recommends aggressive case finding of hypothyroidism in both MetS and T2DM patients.Abbreviations: CI = confidence interval; GLUT4 = glucose transporter 4; HOMA-IR = homeostatic model assessment for insulin resistance; HR = hazard ratio; LATS = Latin American Thyroid Society; MetS = metabolic syndrome; OR = odds ratio; ScH = subclinical hypothyroidism; T2DM = type 2 diabetes mellitus; T3 = triiodothyronine; T4 = thyroxine; TSH = thyroid-stimulating hormone     

Potential Place of SGLT2 Inhibitors in Treatment Paradigms for type 2 Diabetes Mellitus

Objective: Following the first Food and Drug Administration (FDA) approval in 2013, sodium glucose cotransporter 2 (SGLT2) inhibitors have generated much interest among physicians treating patients with type 2 diabetes mellitus (T2DM). Here, the role in treatment with this drug class is considered in the context of T2DM treatment paradigms.Methods: The clinical trials for the SGLT2 inhibitors are examined with a focus on canagliflozin, dapagliflozin, and empagliflozin.Results: Evidence from clinical trials in patients with T2DM supports the use of SGLT2 inhibitors either as monotherapy or in addition to other glucose-lowering treatments as adjuncts to diet and exercise, and we have gained significant clinical experience in a relatively short time.Conclusion: The drugs appear to be useful in a variety of T2DM populations, contingent primarily on renal function. Most obviously, SGLT2 inhibitors appear to be well suited for patients with potential for hypoglycemia or weight gain. In clinical trials, patients treated with SGLT2 inhibitors have experienced moderate weight loss and a low risk of hypoglycemic events except when used in combination with an insulin secretagogue. In addition, SGLT2 inhibitors have been shown to reduce blood pressure, so they may be beneficial in patients with T2DM complicated by hypertension. SGLT2 inhibitors were incorporated into the 2015 American Diabetes Association (ADA)/European Association for the Study of Diabetes (EASD) position statement on the management of hyperglycemia and received an even more prominent position in the American Association of Clinical Endocrinologists (AACE)/American College of Endocrinology (ACE) comprehensive diabetes management guidelines and algorithm.Abbreviations: AE = adverse event A1C = glycated hemoglobin CI = confidence interval CKD = chronic kidney disease DKA = diabetic ketoacidosis DPP-4 = dipeptidyl peptidase 4 eGFR = estimated glomerular filtration rate FDA = Food and Drug Administration FPG = fasting plasma glucose GLP-1 = glucagon-like peptide 1 HDL-C = high-density lipoprotein cholesterol HR = hazard ratio LADA = late-onset autoimmune diabetes of adulthood LDL-C = low-density lipoprotein cholesterol MACE = major adverse cardiovascular events SGLT1 = sodium glucose cotransporter 1 SGLT2 = sodium glucose cotransporter 2 T1DM = type 1 diabetes mellitus T2DM = type 2 diabetes mellitus UACR = urine albumin to creatinine ratio     

The Prevalence of Dysglycemia-Based Chronic Disease in a European Population – a New Paradigm to Address Diabetes Burden: A Kardiovize Study

ObjectiveTo 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.MethodsSubjects 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).ResultsA 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.ConclusionUsing 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.     

Prevalence and Risk Factors of Diabetes and Diabetic Retinopathy in Liaoning Province,China: A Population-Based Cross-Sectional Study

Aim

To evaluate the prevalence and risk factors of diabetes and diabetic retinopathy (DR) in northeast area of China with a population-based study.

Methods

A population of 3173 (aged from 20 to 80 years old) was stratified by geographical location and age in Liaoning province, China. Prediabetes and diabetes were diagnosed according to the guideline of American Diabetes Association. Retinal photographs were obtained by using digital non-mydriatic camera for the presence and grading of DR according to the modified ETDRS Airlie house classification. Blood samples and comprehensive questionnaires were obtained for evaluation of laboratory results and risk factors.

Results

The prevalence of prediabetes and diabetes was 20.7% and 10.4%, respectively. Among diabetes patients, DR prevalence was 11.9%. Age, obesity, total cholesterol, triglycerides, hypertension, living in rural areas and diabetes family history are all risk factors for prediabetes and diabetes. Waist-to-hip circumference rate served as a better obesity index to estimate diabetes risk compared with body mass index and waist circumference. Among all risk factors that we investigated, only the length of diabetes history was associated with the incidence of DR. However, DR prevalence in the newly discovered patients in rural areas was significantly higher than that in urban areas.

Conclusion

According to this study, 1 in 10 people has diabetes, 2 in 10 people have prediabetes, and 1 in 10 diabetics has DR in Liaoning province. In rural areas, diabetes was poorly recognized with limited medical resources, which probably resulted in more diabetes patient at a high risk of DR.     

Gender differences in adiponectin and low-grade inflammation among individuals with normal glucose tolerance,prediabetes, and type 2 diabetes

Background: Women with prediabetes and type 2 diabetes mellitus have a higher relative risk of cardiovascular disease than do men. The reason for this is unknown.Objective: We studied the gender differences in adiponectin and in low-grade inflammation, measured by high-sensitivity C-reactive protein (hs-CRP) and interleukin-1 receptor antagonist (IL-1RA), in individuals with normal glucose tolerance, prediabetes, and type 2 diabetes.Methods: In this population-based, cross-sectional study, all individuals born in 1942, 1947, 1952, 1957, and 1962 in Pieksämäki, East Finland, were recruited for participation. A 75-g oral glucose tolerance test and lipid panel were performed, and concentrations of adiponectin, hs-CRP, and IL-1RA were measured. The World Health Organization diagnostic criteria for diabetes and prediabetes (impaired fasting glucose and/or impaired glucose tolerance) were used. Statistical comparisons between men and women were performed by a bootstrap-type ANCOVA.Results: The eligible population included 1294 middle-aged individuals, and of these, 904 (406 men and 498 women) had complete data and were included in the analyses. Absolute adiponectin concentrations were significantly higher in women at all levels of glucose tolerance (normal, prediabetes, and type 2 diabetes), but the gender ratio (women to men) for adiponectin concentrations decreased linearly (P = 0.011) from normal glucose tolerance (1.61; 95% CI, 1.48–1.75) to prediabetes (1.57; 95% CI, 1.36–1.83) and diabetes (1.16; 95% CI, 0.87–1.53). Among participants with normal glucose tolerance, no significant difference was found between the sexes in hs-CRP or IL-1RA. Among patients with prediabetes or diabetes, women had significantly higher concentrations than did men for hs-CRP (for prediabetes, 2.0 vs 1.5 mg/L; ratio, 1.39; 95% CI, 1.04–1.85) and IL-1RA (for prediabetes, 255 vs 178 pg/mL; ratio, 1.43; 95% CI, 1.121.83). The gender ratios (women to men) increased linearly from normal glucose tolerance to prediabetes and type 2 diabetes for both hs-CRP (P = 0.019) and IL-1RA (P = 0.013).Conclusions: Adiponectin concentrations in women decreased relatively more compared with men across individuals with normal glucose tolerance, prediabetes, and type 2 diabetes, whereas inflammatory markers increased relatively more in women. Higher inflammatory stress in women than in men with prediabetes and type 2 diabetes may explain their relatively higher cardiovascular disease risk.     

Trends in the Care and Outcomes of Medicare Beneficiaries with Type 2 Diabetes, 2002–2011

Objective: To summarize characteristics of Medicare beneficiaries with type 2 diabetes and to describe changing trends in care and outcomes.Methods: We conducted a retrospective cohort study of a nationally representative 5% sample of fee-for-service Medicare beneficiaries 65 years and older with prevalent type 2 diabetes, between January 1, 2002, and December 31, 2011. The main outcome measures were diabetes-related screening tests, mortality, hospital admissions, dialysis, and lower extremity amputation.Results: The average age of Medicare beneficiaries with diabetes was 76.5 years, 56% were women, and 83% were white. Screening practices in beneficiaries with diabetes improved from 2002 to 2011, with rising rates of foot exams, renal screening, hemoglobin A1c tests, and lipid profile tests. The prevalence of nephropathy and neuropathy increased. Although inpatient admissions declined from 2002 to 2011, diabetes-related emergency department visits increased. Amputation and end-stage renal disease remained static, while 1-year mortality declined over the study period.Conclusion: In this medically complex group of patients with high comorbidity, we observed improvements in screening practices and room for further improvement. Although the mortality rate decreased, other outcomes did not improve consistently. Health care resource has changed over time, with decreased hospital admissions and increased emergency department visits.Abbreviations:CCW = Chronic Conditions Data WarehouseESRD = end-stage renal diseaseHbA1c = hemoglobin A1cHEDIS = Healthcare Effectiveness Data and Information SetICD-9-CM = International Classification of Diseases, Ninth Revision, Clinical Modification     

Vascular Complications in Patients with Type 2 Diabetes: Prevalence and Comorbidities in 6 Countries of Latin America (A Cohort of the Discover Study Program)

Objective: To provide real world observational data about glucose control, the burden of diabetes, comorbidities, and cardiovascular risk factors among patients initiating second-line therapy in Latin America (LA).Methods: This report is a cross-sectional analysis of the LA cohort of the DISCOVER study, describing the regional prevalence of microvascular and macrovascular complications in Mexico, Costa Rica, Panama, Colombia, Argentina, and Brazil.Results: One thousand six hundred and sixteen patients were included in 69 investigational sites. Hemoglobin A1c was >7% (42 mmol/mol) in 81.3% of subjects. Macrovascular complications were reported by 13.8% of the subjects. Microvascular conditions were reported in 15.2% of the subjects. The prevalence of hypertension and of hyperlipidemia was 55.5% and 45.9%, respectively. Blood pressure, total cholesterol, and low-density lipoprotein were out of target levels in 38.5%, 51.2%, and 81.7% of the patients, respectively. Overweight or obesity was reported in 83.8% of the cases.Conclusion: Our study shows that patients with type 2 diabetes in LA are not reaching their glucose, lipids, blood pressure, and weight targets. The prevalence of microvascular (15.2%), macrovascular (13.8%), and uncontrolled comorbidities in patients at an early stage of the disease (initiating a second-line therapy) highlights the need for more aggressive risk factor screening as well as treatment in LA.Abbreviations: CV = cardiovascular; CVD = cardiovascular disease; DM = diabetes mellitus; HbA1c = hemoglobin A1c; LA = Latin America/Latin American; LDL = low density cholesterol; T2DM = type 2 diabetes mellitus     

The Benefit of Short-Term Weight Loss with Anti-Obesity Medications in Real-World Clinical Practice

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

Hyperglycemia Management In Patients With Posttransplantation Diabetes

Objective: Posttransplantation diabetes (PTDM) is a common occurrence after solid-organ transplantation and is associated with increased morbidity, mortality, and health care costs. There is a limited number of studies addressing strategies for hyperglycemia management in this population, with a few articles emerging recently.Methods: We performed a PubMed search of studies published in English addressing hyperglycemia management of PTDM/new-onset diabetes after transplant (NODAT). Relevant cited articles were also retrieved.Results: Most of the 25 publications eligible for review were retrospective studies. Insulin therapy during the early posttransplantation period showed promise in preventing PTDM development. Thiazolidinediones have been mostly shown to exert glycemic control in retrospective studies, at the expense of weight gain and fluid retention. Evidence with metformin, sulfonylureas, and meglitinides is very limited. Incretins have shown promising results in small prospective studies using sitagliptin, linaglitpin, and vildagliptin and a case series using liraglutide.Conclusion: Prospective randomized studies assessing the management of hyperglycemia in PTDM are urgently needed. In the meantime, clinicians need to be aware of the high risk of PTDM and associated complications and current concepts in management.Abbreviations:A1c = glycated hemoglobin A1cCHF = congestive heart failureCNI = calcineurin inhibitorsCS = corticosteroidsDM = diabetes mellitusDPP-4 = dipeptidyl peptidase-4GLP-1 = glucagon-like peptide-1ICU = intensive care unitIGT = impaired glucose toleranceNODAT = new-onset diabetes after transplantationOGTT = oral glucose tolerance testPTDM = posttransplantation diabetesSU = sulfonylureaT2DM = type 2 diabetes mellitusTZD = thiazolidinedione