Efficacy of Control-IQ Technology in a General Endocrine Clinic

ObjectiveRecent advances in technology have allowed for the expanded use of hybrid closed-loop insulin pump therapy and automated insulin delivery systems for the management of diabetes mellitus. We assessed the outcomes of introducing Tandem t:slim X2 with the Control-IQ technology in a general endocrine clinic.MethodsData from 66 adults with type 1 (n = 61) and type 2 (n = 5) diabetes mellitus were aggregated for analysis. Patients were either transitioned from traditional insulin pump therapy or multiple daily injection therapy to Tandem t:slim X2 with the Control-IQ technology from January 2020 to June 2021. The assessed clinical end points included changes in time below range, time above range, and time in target range. Changes in hemoglobin A1C before and after Control-IQ technology implementation were noted. The primary outcome was a change in time in target range with the Control-IQ technology.ResultsThere was a significant increase in time in target range when comparing pre- and post–Control-IQ technology (49.5% vs 63.3%, P < .0003) values. There was a reduction in time above range (46.8% vs 34.9%, P < .0013), a decrease in time below range (4.0% vs 1.7%, P = .017), and a decrease in hemoglobin A1C after transitioning to the Control-IQ technology (7.7% [61 mmol/mol] vs 7.1% [54 mmol/mol], P < .017). The patient dropout rate was low (7%).ConclusionThe Control-IQ technology system was effective in reducing hyperglycemia while increasing time in target range and decreasing hypoglycemia. This technology is a useful and effective addition to the growing number of automated insulin delivery systems. The clinical outcomes mirror the results found in the key adult pivotal trials.     

Integrated Insulin Pump and Continuous Glucose Monitoring Technology in Diabetes Care Today: A Perspective of Real-Life Experience With the Minimed™ 670G Hybrid Closed-Loop System

Objective: Intensive glucose management with insulin pump and continuous glucose monitoring therapy in insulin-treated patients with diabetes poses many challenges in all aspects of daily life. Automated insulin delivery (AID) is the ultimate goal of insulin replacement therapy to reduce the burden of managing this condition. Many systems are being tested in the clinical research setting, and one hybrid closed-loop (HCL) system has received Food and Drug Administration (FDA) approval for use in type 1 diabetes patients above the age of 14 years.Methods: Literature review and clinical practice experience from the Diabetes and Technology Program at an academic medical center.Results: This review outlines recent advances in AID systems, focusing on the FDA-approved MiniMed™ 670G HCL system and the real-life experience 1-year post-release in an academic medical center with over 60 patients on this system. The unique challenges of adapting to this new system outside the clinical trial setting are highlighted, and a training protocol designed specifically for the onboarding of first-time users is described.Conclusion: HCL insulin therapy offers several advantages, at the same time posing unique challenges to the user. Systematic training of patients with diabetes transitioning to this system is essential for retention and success of use.Abbreviations: AID = automated insulin delivery; CGM = continuous glucose monitoring; FDA = Food and Drug Administration; HbA1c = glycated hemoglobin; HCL = hybrid closed-loop; ICR = insulin to carbohydrate ratio; SAP = sensor augmented pump; T1DM = type 1 diabetes     

Utility of Psychological Screening of Young Adults with Type 1 Diabetes Transitioning to Adult Providers

Objective: Screening for depression, diabetes distress, and disordered eating in youth with type 1 diabetes (T1D) is recommended, as these comorbidities contribute to poor glycemic control. No consensus exists on which measures are optimal, and most previous studies have used nondisease-specific measures. We examined the utility of screening for these disorders using two disease-specific and one general measure at the time of transition from pediatric to adult care.Methods: Forty-three young adults from a T1D transition clinic completed the Patient Health Questionnaire, the Diabetes Distress Scale, and the Diabetes Eating Problem Survey–Revised. Chart review determined if clinicians noted similar symptoms during the year prior to transition. Metabolic data were also recorded.Results: Chart review identified 5 patients with depressive symptoms and 8 patients with diabetes distress. Screening identified 2 additional patients with depressive symptoms and 1 additional patient with diabetes distress. Of those noted to have symptomatic depression or diabetes distress on chart review, several subsequently screened negative on transition. Disordered eating was not detected by chart review, but 23.5% screened positive on transition. While depression, diabetes distress, and disordered eating positively correlated with glycated hemoglobin (HbA1c) (r = 0.31, P = .05; r = 0.40, P = .009; r = 0.63, P<.001, respectively), disordered eating accounted for the majority of observed variance (df = 1; F = 18.6; P<.001). Even though HbA1c was higher in patients with versus without disordered eating (P<.001), body mass index did not differ between the 2 groups (P = .51).Conclusion: In young adults with T1D, formal screening provides an opportunity to detect psychological problems, which, when treated, may help optimize metabolic control during the transition process.Abbreviations:T1D = type 1 diabetesHbA1C = hemoglobin A1cYCDP = Yale Children's Diabetes ProgramPHQ-8 = Patient Health Questionnaire–8DDS = Diabetes Distress ScaleDEPS-R = Diabetes Eating Problem Survey–Revised     

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     

Risk Factors for Hearing Impairment in Type 1 Diabetes

Objective: Studies have demonstrated that glycated hemoglobin (HbA1c) is a significant predictor of hearing impairment in type 1 diabetes. We identified additional factors associated with hearing impairment in participants with type 1 diabetes from the Diabetes Control and Complications Trial and its observational follow-up, the Epidemiology of Diabetes Interventions and Complications (DCCT/EDIC) study.Methods: A total of 1,150 DCCT/EDIC participants were recruited for the Hearing Study. A medical history, physical measurements, and a self-administered hearing questionnaire were obtained. Audiometry was performed by study-certified personnel and assessed centrally. Logistic regression models assessed the association of risk factors and comorbidities with speech- and high-frequency hearing impairment.Results: Mean age was 55 ± 7 years, duration of diabetes 34 ± 5 years, and DCCT/EDIC HbA1c 7.9 ± 0.9% (63 mmol/mol). In multivariable models, higher odds of speech-frequency impairment were significantly associated with older age, higher HbA1c, history of noise exposure, male sex, and higher triglycerides. Higher odds of high-frequency impairment were associated with older age, male sex, history of noise exposure, higher skin intrinsic florescence (SIF) as a marker of tissue glycation, higher HbA1c, nonprofessional/nontechnical occupations, sedentary activity, and lower low-density-lipoprotein cholesterol. Among participants who previously completed computed tomography and carotid ultrasonography, coronary artery calcification (CAC) >0 and carotid intima-medial thickness were significantly associated with high-but not speech-frequency impairment.Conclusion: Consistent with previous reports, male sex, age, several metabolic factors, and noise exposure are independently associated with hearing impairment. The association with SIF further emphasizes the importance of glycemia—as a modifiable risk factor—over time. In addition, the macrovascular contribution of CAC is novel and important.Abbreviations: AER = albumin excretion rate; CAC = coronary artery calcification; CVD = cardiovascular disease; DCCT/EDIC = Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications; eGFR = estimated glomerular filtration rate; ETDRS = Early Treatment Diabetic Retinopathy Study; HbA1c = glycated hemoglobin; HDL = high-density lipoprotein; IMT = intima-media thickness; LDL = low-density lipoprotein; NHANES = National Health and Nutrition Examination Survey; OR = odds ratio; SIF = skin intrinsic fluorescence; T1D = type 1 diabetes     

Menstrual and Reproductive Function in Women With Type 1 Diabetes

Objective: Menstrual irregularities, reproductive abnormalities, and androgen excess are reported to be more prevalent in women with type 1 diabetes (T1D). The objective of this study was to investigate the prevalence of menstrual irregularities, reproductive abnormalities, and androgen excess among women with T1D and their age-matched controls.Methods: A survey requesting information regarding menstrual and reproductive histories was administered to all participants. Results were stratified according to age (18 to 40, 40 to 50, and >50 years).Results: There were no significant differences between women with and without diabetes in age at menarche, cycle length, or androgen excess in any group. Women who self-reported difficulty with glycemic control were more likely to report irregular menses than controls (P = .04). Among women who reported ever being pregnant, there were fewer pregnancies (P = .02) and live births (P = .002) in women with T1D. Women with T1D reported a lower frequency of oral contraceptive use (P = .003), despite being less likely to smoke (P = .016).Conclusion: Menstrual and reproductive abnormalities were not observed more frequently in women with T1D in this study. Subtle but measurable differences in menstrual and reproductive function were confined to the subgroup of women who perceived poor control of their diabetes. Additional prospective studies of T1D and menstrual and reproductive function would be useful.Abbreviations: BMI = body mass index CVD = cardiovascular disease DCCT = Diabetes Control and Complications Trial FAD = Familial Autoimmune and Diabetes HbA_1c = glycated hemoglobin HC = hormonal contraception T1D = type 1 diabetes     

Cheiroarthropathy: A Common Disorder in Patients in the T1D Exchange

Objective: Diabetic cheiroarthropathy is a long-term complication of diabetes that causes significant morbidity and can impair functional abilities. It has not been well studied in individuals with type 1 diabetes (T1D). The T1D Exchange registry provided an opportunity to assess the frequency of cheiroarthropathy and related characteristics.Methods: An internet-based survey was sent to 6,199 registry participants ≥18 years old, with 1,911 (31%) responding (62% female, 90% non-Hispanic White, mean age 40 years, median diabetes duration 20 years, mean glycated hemoglobin &lsqb;HbA1c] 7.7% &lsqb;61 mmol/mol]).Results: A total of 586 (31%) adults reported a diagnosis of ≥1 upper extremity disorder: 293 (15%) reported frozen shoulder, 293 (15%) trigger finger, 261 (14%) carpal tunnel, and 92 (5%) Dupuytren contracture, with 281 (15%) reporting ≥2 disorders. Those with upper extremity joint disorders were more likely older (P<.001) and had longer duration of diabetes (P<.001) than those without. HbA1c levels at the time of survey completion were 7.6% in participants with cheiroarthropathy versus 7.8% (62 mmol/mol) in participants without cheiroarthropathy.Conclusion: Cheiroarthropathy is common in adults with T1D. Additional research is needed to understand the pathogenesis and risk factors for this disorder. Standards of care for early recognition and treatment of diabetic cheiroarthropathy are also needed, particularly for adults with long-term diabetes. Improved awareness of cheiroarthropathy signs and symptoms of is needed so that patients can be identified and seek treatment before the condition causes disability.Abbreviations: BMI = body mass index; CGM = continuous glucose monitor; DCCT/EDIC = Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications; HbA1C = glycated hemoglobin; T1D = type 1 diabetes; T2D = type 2 diabetes     

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     

Validation and Comparison of Two 30-Day Re-Admission Prediction Models in Patients with Diabetes

Objective: The objective was to evaluate the 30-day re-admission predictive performance of the HOSPITAL score and Diabetes Early Re-admission Risk Indicator (DERRI™) in hospitalized diabetes patients.Methods: This was a case-control study in an academic, tertiary center in the United States. Adult hospitalized diabetes patients were randomly identified between January 1, 2014, and September 30, 2017. Patients were categorized into two groups: (1) re-admitted within 30 days, and (2) not re-admitted within 30 days. Predictive performance of the HOSPITAL and DERRI™ scores was evaluated by calculating receiver operating characteristics curves (c-statistic), Hosmer-Lemeshow goodness-of-fit tests, and Brier scores.Results: A total of 200 patients were included (100 re-admitted, 100 non–re-admitted). The HOSPITAL score had a c-statistic of 0.731 (95% confidence interval &lsqb;CI], 0.661 to 0.800), Hosmer-Lemeshow test P = .211, and Brier score 0.212. The DERRI™ score had a c-statistic of 0.796 (95% CI, 0.734 to 0.857), Hosmer-Lemeshow test P = .114, and Brier score 0.212. The difference in receiver operating characteristic curves was not statistically significant between the two scores but showed a higher c-statistic with the DERRI™ score (P = .055).Conclusion: Both HOSPITAL and DERRI™ scores showed good predictive performance in 30-day re-admission of adult hospitalized diabetes patients. There was no significant difference in discrimination and calibration between the scores.Abbreviations: CI = confidence interval; DERRI™ = Diabetes Early Re-admission Risk Indicator; IQR = interquartile range     

Impact of Weight loss Trajectory Following Randomization to Bariatric Surgery on Long-Term Diabetes Glycemic and Cardiometabolic Parameters

Objective: It is unclear whether acute weight loss or the chronic trajectory of weight loss after bariatric surgery is associated with long-term type 2 diabetes mellitus (T2DM) glycemic improvement. This ancillary study of the Surgical Treatment and Medications Potentially Eradicate Diabetes Efficiently (STAMPEDE) trial aimed to answer this question.Methods: In STAMPEDE, 150 patients with T2DM were randomized to bariatric surgery, and 96 had 5-year follow-up. Data post–Roux-en-Y gastric bypass (RYGB, n = 49) and sleeve gastrectomy (SG, n = 47) were analyzed. We defined percent weight loss in the first year as negative percent decrease from baseline weight to lowest weight in the first year. Percent weight regain was positive percent change from lowest weight in the first year to fifth year. Weight change was then correlated with cardiometabolic (CM) and glycemic outcomes at 5 years using Spearman rank correlations and multivariate analysis.Results: In both RYGB and SG, less weight loss in the first year positively correlated with higher 5-year glycated hemoglobin (HbA1c) (RYGB, β = +0.13; P<.001 and SG, β = 0.14; P<.001). In SG, greater weight regain from nadir positively correlated with higher HbA1c (β = 0.06; P = .02), but not in RYGB. Reduced first-year weight loss was also correlated with increased 5-year triglycerides (β = 1.81; P = .01), but not systolic blood pressure. Weight regain did not correlate with CM outcomes.Conclusion: Acute weight loss may be more important for T2DM glycemic control following both RYGB and SG as compared with weight regain. Clinicians should aim to assist patients with achieving maximal weight loss in the first year post-op to maximize long-term health of patients.Abbreviations: BMI = body mass index; HbA1c = glycated hemoglobin; RYGB = Roux-en-Y gastric bypass; SBP = systolic blood pressure; SG = sleeve gastrectomy; STAMPEDE = Surgical Treatment and Medications Potentially Eradicate Diabetes Efficiently; T2DM = type 2 diabetes mellitus; TG = triglyceride     

De-Intensification of Diabetes Treatment in Elderly Patients with Type 2 Diabetes Mellitus

Objective: De-intensification of diabetes treatment is recommended in elderly patients with tight glycemic control at high risk of hypoglycemia. However, rates of de-intensification in endocrine practice are unknown. We conducted a retrospective study to evaluate the rate of de-intensification of antidiabetic treatment in elderly patients with type 2 diabetes mellitus (T2DM) and tight glycemic control.Methods: All patients with ≥2 clinic visits over a 1-year period at a major academic diabetes center were included. De-intensification of diabetes treatment was defined as a decrease or discontinuation of any antidiabetic drug without adding another drug, or a reduction in the total daily dose of insulin or a sulfonylurea drug with or without adding a drug without risk of hypoglycemia.Results: Out of 3,186 unique patients, 492 were ≥65 years old with T2DM and hemoglobin A1c (HbA1c) <7.5% (<58 mmol/mol). We found 308 patients treated with a sulfonylurea drug or insulin, 102 of whom had hypoglycemia as per physician note. Among these 102 patients, 38 (37%) were advised to de-intensify therapy. In a subgroup analysis of patients ≥75 years old with HbA1c <7% (<53 mmol/mol), we found that out of 23 patients treated with a sulfonylurea drug or insulin and reporting hypoglycemia, 11 (43%) were advised de-intensification of therapy. There were no significant predictors of de-intensification of treatment.Conclusion: Our study suggests that de-intensification of antidiabetic medications is uncommon in elderly patients with T2DM. Strategies may need to be developed to prevent the potential harm of overtreatment in this population.Abbreviations: ADA = American Diabetes Association; CGM = continuous glucose monitoring; HbA1c = hemoglobin A1c; T2DM = type 2 diabetes mellitus; UKPDS = United Kingdom Prospective Diabetes Study     

Nonalcoholic Fatty Liver Disease and Risk of Diabetes: A Prospective Study in China

Objective: We aimed to investigate whether liver steatosis severity affects the risk of developing diabetes in a large cohort study.Methods: We prospectively examined the association in 41,650 Chinese adults with negative hepatitis-B surface antigen who were free of alcohol consumption, diabetes, and liver cirrhosis at baseline. Cox proportional models were used to estimate the risk of diabetes after a mean of 3.6 years of follow-up. Nonalcoholic fatty liver disease (NAFLD) was assessed with hepatic ultrasonography. Elevated alanine transaminase (ALT) was defined as ALT concentrations >19 and >30 U/L in females and males, respectively. Diabetes was defined as a fasting glucose ³7.0 mmol/L or treatment with hypoglycemic medication.Results: Liver steatosis severity was significantly associated with higher risks of developing diabetes (adjusted hazard ratio [HR] for severe vs. without NAFLD = 2.66, 95% confidence interval [CI]: 2.17–3.25, P-trend<.001) and impaired fasting glucose (fasting glucose between 5.6 and 6.9 mmol/L, adjusted HR = 1.36, 95% CI: 1.16–1.59, P-trend<.001), as well as a faster increase rate of fasting glucose concentrations (P-trend<.001), during 3.6 years of follow-up. Elevated ALT was also associated with incident diabetes (HR = 1.12, 95% CI: 1.02–1.22), adjusting for NAFLD and other covariates.Conclusion: We observed a dose-response relationship between liver steatosis severity and increased diabetes risk, and ALT may predict incident diabetes independently of NAFLD.Abbreviations: ALT = alanine transaminase; BP = blood pressure; CI = confidence interval; HCV = hepatitis C virus; HR = hazard ratio; IFG = impaired fasting glucose; NAFLD = nonalcoholic fatty liver disease; ULN = upper limit of normal     

Goals for Medical Treatment in Obesity and Prediabetes: Improving Outcomes for Both

Objective: The purpose of this review is to expose the surprising prevalence of diabetes-related complications in people with persistent prediabetes, and hence, to expand the paradigm of diabetes prevention to include the prevention of complications related to both hyperglycemia and obesity.Methods: Published literature was reviewed.Results: Approximately 84 million Americans have prediabetes, 85% of whom are overweight or obese. Although the incidence of diabetes-related complications is lower in people with prediabetes versus those with type 2 diabetes, the overall prevalence is virtually identical. Furthermore, many people with prediabetes not only suffer from the complications related to hyperglycemia, they also experience complications of obesity. Treating obesity as a disease has the potential to prevent complications of both hyperglycemia and obesity. Emerging data reveal the untapped potential for clinicians to enhance the effectiveness of anti-obesity medications through a mindful health care delivery style. This involves an understanding and ethical utilization of the placebo effect in conjunction with active medical therapy. This approach is not intended to mislead patients but rather to activate neurocircuitry that synergizes with the central action of the approved anti-obesity medications to potentiate weight loss.Conclusion: Mindful administration of anti-obesity medications has the potential for widespread health benefits in people with obesity and prediabetes.Abbreviations: ADA = American Diabetes Association; DPP = Diabetes Prevention Program; CVD = cardiovascular disease     

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     

Ideglira is Associated With Improved Short-Term Clinical Outcomes and Cost Savings Compared With Insulin Glargine U100 Plus Insulin Aspart in the U.S.

Objective: In the DUAL (Dual Action of Liraglutide and Insulin Degludec in Type 2 Diabetes) VII trial, IDegLira (a combination of insulin degludec and liraglutide) was compared with insulin glargine U100 plus insulin aspart. Both treatment approaches achieved similar glycemic control, but there were differences in hypoglycemia, changes in body weight, and injection frequency. The aim of the present analysis was to assess the short-term cost effectiveness of IDegLira versus insulin glargine U100 plus insulin aspart for treatment of patients with type 2 diabetes mellitus not meeting glycemic targets on basal insulin in the U.S. setting.Methods: A cost-utility model was developed to evaluate the clinical and economic outcomes associated with the 2 treatments over a 1-year time horizon, capturing the impact on quality of life of hypoglycemic events, body mass index, and injection frequency. Costs were captured from a healthcare payer perspective in 2017 U.S. dollars ($).Results: IDegLira was associated with improved quality of life by 0.12 quality-adjusted life years compared with insulin glargine U100 plus insulin aspart. The key drivers of this difference were reduced injection frequency and hypoglycemic events avoided. IDegLira was associated with increased annual drug costs, but this was entirely offset by reduced needle costs and reduced costs of self-monitoring of blood glucose testing. IDegLira was associated with total annual cost savings of $743 per patient.Conclusion: IDegLira was found to improve quality-adjusted life expectancy and reduce costs when compared with insulin glargine U100 plus insulin aspart for treatment of patients with type 2 diabetes not achieving glycemic control on basal insulin in the U.S. setting.Abbreviations: ADA = American Diabetes Association; BMI = body mass index; CI = confidence interval; DUAL = Dual Action of Liraglutide and Insulin Degludec in Type 2 Diabetes; GLP-1 = glucagon-like peptide-1; HbA1c = glycated hemoglobin; ICER = incremental cost-effectiveness ratio; IU = international units; QALY = quality-adjusted life year; SMBG = self-monitoring of blood glucose     

The Role of Glucagon in the Pathophysiology and Management of Diabetes

Objective: There is general recognition that insulin and glucagon are the main hormones involved in the pathophysiology of diabetes, but the role of glucagon in diabetes is complex and in some circumstances controversial. The increasing appreciation of the role of glucagon in currently used hypoglycemic agents and the ongoing development of glucagon-targeted therapies underscores glucagon's important contribution in optimizing diabetes management. The current review provides a background on glucagon physiology and pathophysiology and an update for investigators, endocrinologists, and other healthcare providers on glucagon-modulating therapies.Methods: A literature review was conducted utilizing published literature in PubMed and AccessMedicine including the years 1922–2015 using the following key words: glucagon, bihormonal, diabetes mellitus, glucagon antagonists, glucagon-targeted therapies.Results: Glucagon is a counterregulatory hormone that promotes hepatic glucose production, thus preventing hypoglycemia in normal physiology. In patients with diabetes mellitus, glucagon secretion may be unregulated, which contributes to problems with glucose homeostasis. Several of the most effective therapies for diabetes have been found to suppress glucagon secretion or action, which may contribute to their success. Additionally, glucagon-specific targeted therapies, such as glucagon receptor antagonists, are being studied at a basic and clinical level.Conclusion: Glucagon plays an important role in contributing to hyperglycemia in patients with diabetes. Utilizing hypoglycemic agents that decrease glucagon secretion or inhibit glucagon action can help improve glycemic control, making these agents a valuable resource in diabetes therapy.Abbreviations:cAMP = cyclic adenosine monophosphateDPP-4 = dipeptidyl peptidase 4GLP-1 = glucagon-like peptide 1GR^-/- = glucagon receptor knockoutGR-ASO = antisense oligonucleotides targeted against the glucagon receptorHbA1c = hemoglobin A1cHGP = hepatic glucose productionSGLT-2 = sodium-glucose cotrans-porter 2T1DM = type 1 diabetes mellitusT2DM = type 2 diabetes mellitus     

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     

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     

Development and Validation of a Novel Tool to Predict Hospital Readmission Risk Among Patients with Diabetes

Objective: To develop and validate a tool to predict the risk of all-cause readmission within 30 days (30-d readmission) among hospitalized patients with diabetes.Methods: A cohort of 44,203 discharges was retrospectively selected from the electronic records of adult patients with diabetes hospitalized at an urban academic medical center. Discharges of 60% of the patients (n = 26,402) were randomly selected as a training sample to develop the index. The remaining 40% (n = 17,801) were selected as a validation sample. Multivariable logistic regression with generalized estimating equations was used to develop the Diabetes Early Readmission Risk Indicator (DERRI™).Results: Ten statistically significant predictors were identified: employment status; living within 5 miles of the hospital; preadmission insulin use; burden of macrovascular diabetes complications; admission serum hematocrit, creatinine, and sodium; having a hospital discharge within 90 days before admission; most recent discharge status up to 1 year before admission; and a diagnosis of anemia. Discrimination of the model was acceptable (C statistic 0.70), and calibration was good. Characteristics of the validation and training samples were similar. Performance of the DERRI™ in the validation sample was essentially unchanged (C statistic 0.69). Mean predicted 30-d readmission risks were also similar between the training and validation samples (39.3% and 38.7% in the highest quintiles).Conclusion: The DERRI™ was found to be a valid tool to predict all-cause 30-d readmission risk of individual patients with diabetes. The identification of high-risk patients may encourage the use of interventions targeting those at greatest risk, potentially leading to better outcomes and lower healthcare costs.Abbreviations:DERRI™ = Diabetes Early Readmission Risk IndicatorICD-9-CM = International Classification of Diseases, Ninth Revision, Clinical ModificationGEE = generalized estimating equationsROC = receiver operating characteristic     

Real-World Implications of Hybrid Close Loop (Hcl) Insulin Delivery System

Objective: Clinical trial data demonstrates improved glycemic control with hybrid close loop (HCL) insulin delivery systems, yet limited real-world data exists. Data from the inaugural cohort of patients initiating a HCL system (Medtronic MiniMed™ 670G, Medtronic Canada, Brampton, ON) at a university medical center was used to examine real-world utilization and glycemic control following a standardized implementation process.Methods: Data from 34 adult patients with type 1 diabetes were obtained from pump downloads at 4 time points: (1) previous insulin pump, (2) HCL in manual-mode, (3) 2 weeks after HCL auto-mode transition, and (4) 6 to 12 weeks after initiation of HCL. In-person training by certified diabetes educators was performed across 3 sessions with phone and electronic messaging following auto-mode start.Results: Mean self-monitored blood glucose (SMBG) per day increased from 5.15 baseline to 6.49 at 6 to 12 weeks (P<.05) with 3.26 sensor calibrations per day. Time-in-auto-mode was 79.3% at 2 weeks and 72.3% at final follow-up, with 82% of patients spending >50% of time in auto-mode. There were 8.2 auto-mode exits over the final 14-day download. Time-in-target was 67.3% in manual-mode, 73.4% at 2 weeks (P = .09), and 71.7% by 6 to 12 weeks (P = .06). Hemoglobin A1c (HbA1c) decreased by 0.51% (P = .02), while total daily dose and % basal did not change. Patients with HbA1c <7.0% (53 mmol/mol) at baseline spent more time-in-target than those with HbA1c ≥7.0% (53 mmol/mol; 78.0% versus 67.5%) despite spending less time-in-auto-mode (66.5% versus 74.8%).Conclusion: These data illustrate real-world implementation of HCL technology using a structured education program within a major medical center. Overall benefit may vary based on baseline characteristics such as HbA1c.Abbreviations: CDE = certified diabetes educator; HbA1c = hemoglobin A1c; HCL = hybrid closed loop; SMBG = self-monitored blood glucose