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     

Patients Achieving Good Glycemic Control (HBA1c <7%) Experience A Lower Rate of Hypoglycemia With Insulin Degludec Than with Insulin Glargine: A Meta-Analysis of Phase 3A Trials

Objective: Meta-analysis to compare hypoglycemia rates of basal insulin degludec (IDeg) with insulin glargine (IGlar) in patients with diabetes achieving good glycemic control (hemoglobin A_1c [HbA_1c] <7% at end of trial).Methods: In a preplanned meta-analysis, patient data from 7 randomized, treat-to-target, 26- or 52-week trials in patients with type 1 diabetes mellitus (T1DM) or type 2 diabetes mellitus (T2DM) who administered IDeg (n = 2,899) or IGlar (n = 1,431) once daily were analyzed. Using a negative binomial regression model, this meta-analysis compared hypoglycemia rates in patients achieving HbA_1c <7% at end of trial with IDeg (n = 1,347) and IGlar (n = 697).Results: In all trials, IDeg was noninferior to IGlar in HbA_1c reduction from baseline. At end of trial, 2,044 patients (T2DM, n = 1,661; T1DM, n = 383) achieved HbA_1c <7%. The overall confirmed hypoglycemia rate, defined as plasma glucose <56 mg/dL or severe hypoglycemia if requiring assistance, was significantly lower with IDeg versus IGlar (estimated rate ratio [ERR] IDeg:IGlar, 0.86; 95% confidence interval [CI], 0.76 to 0.98). The nocturnal confirmed hypoglycemia rate, defined as occurring between midnight and 6:00 am, was significantly lower with IDeg (ERR, 0.63; 95% CI, 0.52 to 0.77). In the maintenance period (16 weeks onward when average insulin dose and glycemic levels stabilized), the overall confirmed hypoglycemia rate was significantly lower (ERR, 0.79; 95% CI, 0.68 to 0.92) and the nocturnal confirmed hypoglycemia rate was significantly lower (ERR, 0.57; 95% CI, 0.45 to 0.72) with IDeg versus IGlar.Conclusion: Patients with T1DM and T2DM achieved HbA_1c <7% with significantly lower rates of overall and nocturnal confirmed hypoglycemia with IDeg versus IGlar. The lower hypoglycemia rate with IDeg was more pronounced in the maintenance period.Abbreviations: ERR = estimated rate ratio; HbA_1c = hemoglobin A_1c; IDeg = insulin degludec; IGlar = insulin glargine; NPH = Neutral Protamine Hagedorn; PG = plasma glucose; 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     

Dexamethasone Stress Test: A Pilot Clinical Study for Identification of Individuals Highly Prone to Develop Type 2 Diabetes

Objective: We examined whether the “Dexamethasone Stress Test” exhibits the requisite high predictive ability to identify individuals highly prone to develop type 2 diabetes mellitus (T2DM).Methods: Seven years ago, we administered an oral glucose tolerance test (OGTT) to 33 individuals without T2DM and repeated the OGTT 24 hours after a single oral dose of 8 mg dexamethasone (Dex); all participants had a first-degree relative with T2DM, and close to half had prediabetes. We calculated receiver operating characteristic (ROC) curves for all parameters derived from the OGTT before and after Dex in individuals who subsequently developed diabetes compared to individuals who did not.Results: At 7 years of follow-up, 9 individuals had developed T2DM, while 24 remained without diabetes. None of the OGTT-derived parameters before administration of Dex had an area under the ROC curve of >0.8. However, 24 hours after Dex, three parameters, including fasting plasma insulin, homeostatic model assessment–insulin resistance, and 2-hour plasma glucose level, exhibited areas under the ROC curves of 0.84, 0.86, and 0.92, respectively.Conclusion: The Dexamethasone Stress Test appears to be a good to excellent test in identifying individuals highly prone to develop T2DM.Abbreviations: AUC = area under the curve; Dex = dexamethasone; HOMA-IR = homeostatic model assessment–insulin resistance; NGT = normal glucose tolerance; OGTT = oral glucose tolerance test; PreDiab = prediabetes; ROC = receiver operating characteristic; T2DM = type 2 diabetes mellitus     

Family History of Diabetes is Associated with Increased Risk of Recurrent Diabetic Ketoacidosis in Pediatric Patients

Objective: To determine the relationship between family history of diabetes mellitus (DM) and diabetic ketoacidosis (DKA) recurrence in youth with established type 1 diabetes mellitus (T1DM).Methods: We performed a retrospective chart review of patients with DKA admitted to a pediatric hospital between January, 2009, and December, 2014. We compared patients with recurrent (≥2 admissions) and nonrecurrent DKA (1 admission) and investigated patient level factors, including family history, that may be associated with DKA recurrence in pediatric patients with established T1DM.Results: Of the 131 subjects in the study, 51 (39%) subjects were in the recurrence group. Age ≥15 years old, public health insurance, and family history of T1DM or type 2 diabetes mellitus were associated with recurrent DKA admissions in both univariable and multivariable analyses. Family history was associated with DKA recurrence, with an incidence rate ratio of 1.5 (95% confidence interval = 1.0 to 2.3; P = .03). The association was not explained by type of familial diabetes, first degree relative status, or whether the family member lived in the household.Conclusion: Recognition that a positive family history of DM may be associated with a higher risk for DKA recurrence in patients with established T1DM may allow for targeted education and focus on a previously unidentified population at increased risk for DKA. Understanding the mechanism underlying the effect of family history of diabetes on the rates of DKA in patients with established T1DM may allow for improved identification and education of patients who may be at risk for DKA recurrence.Abbreviations: CI = confidence interval; DKA = diabetic ketoacidosis; EHR = electronic health record; IBD = inflammatory bowel disease; IRR = incidence rate ratio; T1DM = type 1 diabetes mellitus; T2DM = type 2 diabetes mellitus     

Hba1C Control And Cost-Effectiveness in Patients With Type 2 Diabetes Mellitus Initiated On Canagliflozin or A Glucagon-Like Peptide 1 Receptor Agonist in A Real-World Setting

Objective: To compare glycated hemoglobin (HbA1c) control and medication costs between patients with type 2 diabetes mellitus (T2DM) treated with canagliflozin 300 mg (CANA) or a glucagon-like peptide 1 receptor agonist (GLP-1 RA) in a real-world setting.Methods: Adults with T2DM newly initiated on CANA or a GLP-1 RA (index date) were identified from IQVIA™ Real-World Data Electronic Medical Records U.S. database (March 29, 2012–April 30, 2016). Inverse probability of treatment weighting accounted for differences in baseline characteristics. HbA1c levels at 3-month intervals were compared using generalized estimating equations. Medication costs used wholesale acquisition costs.Results: For both cohorts (CANA: n = 11,435; GLP-1 RA: n = 11,582), HbA1c levels decreased at 3 months postindex and remained lower through 30 months. Absolute changes in mean HbA1c from index to 3 months postindex for CANA and GLP-1 RA were -1.16% and -1.21% (patients with baseline HbA1c ≥7% &lsqb;53 mmol/mol]); -1.54% and -1.51% (patients with baseline HbA1c ≥8% &lsqb;64 mmol/mol]); and -2.13% and -1.99% (patients with baseline HbA1c ≥9% &lsqb;75 mmol/mol]), respectively. Postindex, CANA patients with baseline HbA1c ≥7% had similar HbA1c levels at each interval versus GLP-1 RA patients, except 9 months (mean HbA1c, 7.75% &lsqb;61 mmol/mol] vs. 7.86% &lsqb;62 mmol/mol]; P = .0305). CANA patients with baseline HbA1c ≥8% and ≥9% had consistently lower HbA1c numerically versus GLP-1 RA patients and statistically lower HbA1c at 9 (baseline HbA1c ≥8% or ≥9%), 27, and 30 months (baseline HbA1c ≥9%). Continuous 12-month medication cost $3,326 less for CANA versus GLP-1 RA.Conclusion: This retrospective study demonstrated a similar evolution of HbA1c levels among CANA and GLP-1 RA patients in a real-world setting. Lower medication costs suggest CANA is economically dominant over GLP-1 RA (similar effectiveness, lower cost).Abbreviations:AHA = antihyperglycemic agentBMI = body mass indexCANA = canagliflozin 300 mgDCSI = diabetes complications severity indexeGFR = estimated glomerular filtration rateEMR = electronic medical recordGLP-1 RA = glucagon-like peptide 1 receptor agonistHbA1c = glycated hemoglobinICD-9-CM = International Classification of Diseases–Ninth Revision–Clinical ModificationICD-10-CM = International Classification of Diseases–Tenth Revision–Clinical ModificationIPTW = inverse probability of treatment weightingITT = intent-to-treatMPR = medication possession ratioPDC = proportion of days coveredPS = propensity scorePSM = propensity score matchingQuan-CCI = Quan-Charlson comorbidity indexSGLT2 = sodium-glucose cotransporter 2T2DM = type 2 diabetes mellitusWAC = wholesale acquisition cost     

Similar Cardiovascular Outcomes Between Insulin Detemir and Insulin Glargine In Type 2 Diabetic Patients With Extremely Atherosclerotic Cardiovascular Disease Risks

Objective: The cardiovascular outcomes of insulin detemir in patients with type 2 diabetes mellitus (T2DM) after acute coronary syndrome (ACS) or acute ischemic stroke (AIS) are unclear. The aim of our real-life cohort study was to evaluate the cardiovascular outcomes of insulin detemir (IDet) versus insulin glargine (IGlar) in T2DM patients after ACS or AIS.Methods: A retrospective cohort study was conducted between June 1, 2005, and December 31, 2013, utilizing the Taiwan National Health Insurance Research Database. A total of 3,129 ACS or AIS patients were eligible for the analysis. Clinical outcomes were evaluated by comparing 1,043 subjects receiving IDet with 2,086 propensity score-matched subjects who received IGlar. The primary composite outcome included cardiovascular (CV) death, nonfatal myocardial infarction (MI) and nonfatal stroke.Results: The primary composite outcome occurred in 322 patients (30.9%) in the IDet group and 604 patients (29.0%) in the IGlar group (hazard ratio [HR], 1.12; 95% confidence interval [CI], 0.95 to 1.32) with a mean follow-up of 2.4 years. No significant differences were observed for CV death (HR, 1.09; 95% CI, 0.86 to 1.38), nonfatal MI (HR, 0.88; 95% CI, 0.66 to 1.19), and nonfatal stroke (HR, 1.15; 95% CI, 0.97 to 1.35). There were similar risks of all-cause mortality, hospitalization for heart failure and revascularization between the IDet group and the IGlar group (P = .647, .115, and .390 respectively).Conclusion: Compared with IGlar, in T2DM patients after ACS or AIS, IDet was not associated with increased risks of CV death, nonfatal MI, or nonfatal stroke.Abbreviations: ACS = acute coronary syndrome; AIS = acute ischemic stroke; ASCVD = atherosclerotic cardiovascular disease; CI = confidence interval; CV = cardiovascular; DKA = diabetic ketoacidosis; HHF = hospitalization for heart failure; HHS = hyperosmolar hyperglycemic state; HR = hazard ratio; IDet = insulin detemir; IGlar = insulin glargine; MI = myocardial infarction; NHIRD = National Health Insurance Research Database; PCI = percutaneous coronary intervention; PSM = propensity score matching; T2DM = type 2 diabetes mellitus     

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     

C-Peptide and Beta-Cell Autoantibody Testing Prior to Initiating Continuous Subcutaneous Insulin Infusion Pump Therapy Did Not Improve Utilization Or Medical Costs Among Older Adults With Diabetes Mellitus

Objective: To study the impact of the C-peptide and beta-cell autoantibody testing required by the Center for Medicare and Medicaid Services (CMS) on costs/utilization for patients with diabetes mellitus initiating continuous subcutaneous insulin infusion (CSII) therapy.Methods: This retrospective study used propensity score–matched patients. Analysis 1 compared patients 1-year pre- and 2-years post-CSII adoption who met or did not meet CMS criteria. Analysis 2 compared Medicare Advantage patients using CSII or multiple daily injections (MDI) who did not meet CMS criteria for 1-year pre- and 1-year post-CSII adoption. Analysis 3 extended analysis 2 to 2 years postindex and also included a subset of patients ≥55 years old but not yet in Medicare Advantage.Results: Analysis 1 resulted in significantly slower growth in hospital admissions (P =.0453) in CSII-treated patients who did not meet the criteria. Analyses 2 and 3 showed numerically slower growth in inpatient, outpatient, and emergency department (ED) costs for CSII versus MDI patients (both not meeting criteria). Analysis 3 showed significantly slower growth in ED costs and hospital admissions for CSII versus MDI Medicare Advantage patients before propensity matching (both P<.05). In patients ≥55 years old, ED costs grew more slowly for CSII than MDI therapy (P =.0678).Conclusion: Numerically slower growth in hospital admissions was seen for pump adopters who did not meet CMS C-peptide criteria, while medical costs growth was similar. For CSII users who did not meet the CMS criteria, numerically slower growth in inpatient, outpatient, ED costs, and hospital admissions occurred versus MDI.Abbreviations: CMS = Center for Medicare and Medicaid Services; CSII = continuous subcutaneous insulin infusion; DM = diabetes mellitus; DME = durable medical equipment; ED = emergency department; MDI = multiple daily injections (of insulin)     

Self Blood Glucose Monitoring Underestimates Hyperglycemia And Hypoglycemia As Compared To Continuous Glucose Monitoring In Type 1 And Type 2 Diabetes

Objective: When glucose records from self blood glucose monitoring (SBGM) do not reflect estimated average glucose from glycosylated hemoglobin (HgBA1) or when patients' clinical symptoms are not explained by their SBGM records, clinical management of diabetes becomes a challenge. Our objective was to determine the magnitude of differences in glucose values reported by SBGM versus those documented by continuous glucose monitoring (CGM).Methods: The CGM was conducted by a clinical diabetes educator (CDE)/registered nurse by the clinic protocol, using the Medtronic iPRO2™ system. Patients continued SBGM and managed their diabetes without any change. Data from 4 full days were obtained, and relevant clinical information was recorded. De-identified data sets were provided to the investigators.Results: Data from 61 patients, 27 with type 1 diabetes (T1DM) and 34 with T2DM were analyzed. The lowest, highest, and average glucose recorded by SBGM were compared to the corresponding values from CGM. The lowest glucose values reported by SBGM were approximately 25 mg/dL higher in both T1DM (P = .0232) and T2DM (P = .0003). The highest glucose values by SBGM were approximately 30 mg/dL lower in T1DM (P = .0005) and 55 mg/dL lower in T2DM (P<.0001). HgBA1c correlated with the highest and average glucose by SBGM and CGM. The lowest glucose values were seen most frequently during sleep and before breakfast; the highest were seen during the evening and postprandially.Conclusion: SBGM accurately estimates the average glucose but underestimates glucose excursions. CGM uncovers glucose patterns that common SBGM patterns cannot.Abbreviations: CDE = certified diabetes educator; CGM = continuous glucose monitoring; HgBA1c = glycosylated hemoglobin; MAD = mean absolute difference; SBGM = self blood glucose monitoring; T1DM = type 1 diabetes; T2DM = type 2 diabetes     

Intermittent Intensive Insulin Therapy for Type 2 Diabetes: Effects on Hypoglycemia,Weight Gain,and Quality of Life Over 2 Years

Objective: In early type 2 diabetes (T2DM), the administration of short-term intensive insulin therapy (IIT) can induce glycemic remission for a year thereafter, but this effect ultimately wanes. In this context, intermittently repeating short-term IIT could provide a strategy for maintaining the otherwise transient benefits of this intervention. However, the viability of this strategy would be contingent upon not inducing undesirable effects of insulin therapy such as excessive hypoglycemia and fat deposition. We thus sought to evaluate the effect of administering short-term IIT every 3 months on hypoglycemia, weight gain, and quality of life in early T2DM.Methods: In this 2-year pilot trial, 24 adults with T2DM of 2.0 ± 1.7 years duration and hemoglobin A1c of 6.4 (46 mmol/mol) ± 0.1% were randomized to 3 weeks of IIT (glargine, lispro) followed by either (1), repeat IIT for up to 2 weeks every 3 months or (2), daily metformin. IIT was titrated to target near-normoglycemia (premeal glucose 4 to 6 mmol/L; 2-hour postmeal <8 mmol/L). Participants were assessed every 3 months, with quality of life (QOL) evaluated annually.Results: The rate of hypoglycemia (<3.5 mmol/L) was low in the metformin and intermittent IIT arms (0.37 versus 0.95 events per patient-year; P = .28). There were no differences between the groups in changes over time in overall, central, or hepatic fat deposition (as reflected by weight &lsqb;P = .10], waist-to-hip ratio &lsqb;P = .58], and alanine aminotransferase &lsqb;P = .64], respectively). Moreover, there were no differences between the groups in QOL at 1- and 2-years.Conclusion: Intermittent short-term IIT may be safely administered in early T2DM without excessive adverse impact on hypoglycemic risk, anthropometry, or QOL.Abbreviations: ALT = alanine aminotransferase; HbA1c = hemoglobin A1c; IIT = intensive insulin therapy; ISSI-2 = insulin secretion-sensitivity index-2; OGTT = oral glucose tolerance test; QOL = quality of life; SF-36 = medical outcomes study 36-item short-form health survey; T2DM = type 2 diabetes     

Does Clinical Inertia Vary By Personalized A1C Goal? A Study Of Predictors And Prevalence Of Clinical Inertia In A U.S. Managed Care Setting

Objective: Clinical inertia is defined as failure to initiate or intensify therapy despite an inadequate treatment response. We assessed the prevalence and identified the predictors of clinical inertia among patients with type 2 diabetes (T2DM) based on personalized goals.Methods: Three hemoglobin A_1c (A1C) targets (American Diabetes Association A1C <7.0%; modified Ismail-Beigi et al; and Healthcare Effectiveness Data and Information Set) were used when identifying adult patients with T2DM who experienced above-target A1C values during the index period (July 1, 2008 to June 30, 2012) in a U.S. managed-care claims database (IMPACT™). Clinical inertia was defined as no intensification of treatment during the response period. Demographic and clinical characteristics were analyzed to identify predictors of treatment intensification.Results: Irrespective of A1C target, the majority of patients with T2DM (70.4 to 72.8%) experienced clinical inertia in the 6 months following the index event, with 5.3 to 6.2% of patients intensifying treatment with insulin. Patients with a lower likelihood of intensification were older, used >1 oral antidiabetes drug during the baseline period, and had an above-target A1C more recently. Treatment intensification was associated with patients who had point-of-service insurance, mental illness, an endocrinologist visit in the baseline period, or higher index A1C.Conclusion: The prevalence of clinical inertia among patients with T2DM in a U.S. managed-care setting is high and has increased over more recent years. Factors predicting increased risk of clinical inertia may help identify “at-risk” populations and assist in developing strategies to improve their management.Abbreviations:A1C = hemoglobin A_1cADA = American Diabetes AssociationCCI = Charlson Comorbidity IndexGLP-1 = glucagon-like peptide 1HEDIS = Healthcare Effectiveness Data and Information SetICD-9-CM = International Classification of Diseases, 9th Revision, Clinical ModificationOAD = oral antidiabetes drugPCPs = primary care physiciansT2DM = type 2 diabetes mellitus     

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     

Impact of Type 2 Diabetes on Nonalcoholic Steatohepatitis and Advanced Fibrosis in Patients with Nonalcoholic Fatty Liver Disease

Objective: Type 2 diabetes mellitus (T2DM) is a risk factor for nonalcoholic fatty liver disease (NAFLD). The aim of this study was to investigate the effect of T2DM on nonalcoholic steatohepatitis (NASH) and advanced fibrosis.Methods: A total of 221 NAFLD patients who had undergone a liver biopsy were included in this study. Subjects were divided into a non-T2DM group and a T2DM group based on glycemic control. NASH was diagnosed by the joint presence of steatosis, ballooning, and lobular inflammation. The steatosis, activity, and fibrosis (SAF) score and NAFLD activity score (NAS) were used to evaluate the severity of NAFLD. The severity of liver fibrosis was evaluated based on the fibrosis stage.Results: The total percentages of NASH and advanced fibrosis in this study were 95.0% and 50.2%, respectively. The percentages of NASH and advanced fibrosis in NAFLD patients with T2DM were 96.1% and 56.5%, respectively, which were higher than those in the non-T2DM group. SAF score (especially activity and fibrosis stage) and NAS (especially ballooning) were higher in NAFLD patients with T2DM than in NAFLD patients without T2DM. Glycemic control and insulin resistance were positively associated with SAF, NAS, and fibrosis stage. Additionally, T2DM elevated the risk of a high NAS and advanced fibrosis.Conclusion: T2DM increases the risk of serious NASH and advanced fibrosis in patients with NAFLD. Liver biopsy can be performed in NAFLD patients with T2DM to confirm the stage of NAFLD. Screening of NASH and advanced fibrosis in NAFLD patients with T2DM is needed.Abbreviations: ALT = alanine aminotransferase; APO = apolipoprotein; AST = aspartate aminotransferase; BMI = body mass index; CI = confidence interval; FPG = fasting plasma glucose; GGT = gamma-glutamyl transferase; HbA1c = hemoglobin A1c; HDL-c = high-density-lipoprotein cholesterol; ¹H-MRS = proton magnetic resonance spectroscopy; HOMA-IR = homeostasis model assessment of insulin resistance; 2hPG = postprandial plasma glucose at 2 hours; LDL-c = low-density-lipoprotein cholesterol; LFC = liver fat content; NAFLD = nonalcoholic fatty liver disease; NAS = NAFLD activity score; NASH = nonalcoholic steatohepatitis; OGTT = oral glucose tolerance test; OR = odds ratio; T2DM = type 2 diabetes mellitus; TC = total cholesterol; TG = triglyceride; SAF = steatosis, activity, and fibrosis; US-FLI = ultrasonographic fatty liver indicator     

Impact of Switching Youth With Diabetes to Insulin Degludec in Clinical Practice

Objective: Many youth with diabetes struggle to meet glycemic targets. The new ultralong duration of action of insulin degludec (iDeg) holds potential to ameliorate missed doses of basal insulin and improve glycemic control in youth with diabetes.Methods: A retrospective chart review was undertaken of youth age 13 to <24 years in our practice with type 1 diabetes (T1D) or type 2 diabetes (T2D) who had been switched from glargine or detemir to iDeg to evaluate the impact of this transition on glycemic control.Results: Glycated hemoglobin A1c (HbA1c) in youth with T1D (n = 82) remained stable during 6 months of treatment with iDeg (10.1 ± 2.11% &lsqb;87 ± 23 mmol/mol] at start of iDeg compared to 10.1 ± 2.12% &lsqb;87 ± 23 mmol/mol] at 6 months of treatment), whereas in youth with T2D (n = 16), HbA1c significantly declined from 10.6 ± 2.3% (92 ± 25 mmol/mol) to 8.3 ± 2.2% (67 ± 24 mmol/mol) (P = .0024).Conclusion: In youth switched to iDeg, which in our practice is commonly due to ineffectiveness of the patient's current regimen, the outcome differences we saw may be due to preserved beta-cell function in youth with T2D. It remains to be seen whether there are benefits of transition to iDeg in youth with T1D beyond glycemic outcomes, such as reduction in ketosis and episodes of diabetic ketoacidosis.Abbreviations: DKA = diabetic ketoacidosis; DPV = Diabetes-Patienten-Verlaufsdokumentation (German/Austrian Prospective Diabetes Follow-Up Registry); HbA1c = glycated hemoglobin A1c; iDeg = insulin degludec; T1D = type 1 diabetes; T2D = type 2 diabetes     

SGLT-2 Inhibitor Therapy Added to GLP-1 Agonist Therapy in the Management of T2DM

Objective: To assess the real-world efficacy and safety of canagliflozin therapy added to type 2 diabetes mellitus (T2DM) patients who have received a minimum 1 year of glucagon-like peptide-1 (GLP-1) agonist therapy.Methods: This pre-post observational study assessed the efficacy and safety of canagliflozin in a group of T2DM patients from a community endocrinology practice who received GLP-1 agonist therapy for a minimum of 12 months. The primary study outcome was change in mean glycated hemoglobin (HbA1c) level from baseline. Secondary endpoints included changes in average weight, and comparison of the percentage of patients obtaining an HbA1c <7%.Results: A total of 75 patients met all the study criteria. Baseline patient characteristics were as follows: average age, 58 ± 9 years; mean duration of T2DM, 14 ± 6 years; 56% male; 92% Caucasian; baseline body mass index (BMI), 39.4 ± 9.4 kg/m²; and mean baseline HbA1c, 7.94 ± 0.69%. HbA1c and weight were significantly reduced by 0.39% and 4.6 kg, respectively. Adverse effects were reported by 13 (17.3%) patients, including 4 (5.3%) who discontinued canagliflozin because of adverse reactions.Conclusion: Canagliflozin was generally well tolerated and significantly further reduced mean HbA1c levels and body weight in patients with T2DM when added to GLP-1 regimen.Abbreviations:BP = blood pressureBUN = blood urea nitrogenCANTATA = Canagliflozin Treatment and Trial AnalysisDBP = diastolic blood pressureDKA = diabetic ketoacidosisDPP-4 = dipeptidyl peptidase-4EMR = electronic medical recordFDA = Food and Drug AdministrationGFR = glomerular filtration rateGLP-1 = glucagon-like peptide-1HbA1c = glycated hemoglobinHDL-C = high-density lipoprotein cholesterolLDL-C = low-density lipoprotein cholesterolSCr = serum creatinineSGLT-2 = sodium glucose cotransporter 2T2DM = type 2 diabetes mellitusTZD = thiazolidinedioneUTI = urinary tract infection     

1,5-Anhydroglucitol and Neonatal Complications in Pregnancy Complicated by Diabetes

Objective: To determine the association of 1,5-anhydroglucitol (1,5-AG) with neonatal birth weight (NBW) and neonatal hypoglycemia (+NH) in pregnancies complicated by diabetes.Methods: We assessed a retrospective cohort of 102 females, 17 with gestational diabetes (GDM), 48 with type 1 diabetes mellitus (T1DM), and 37 with type 2 diabetes mellitus (T2DM). 1,5-AG and glycated hemoglobin A1C (A1C) values throughout pregnancy were extracted. Linear regression was used to assess their association with NBWs z-scores adjusting for maternal age, ethnicity and body mass index (BMI). +NH was defined by a note in the infant record, glucose <1.7 mmol/L in the first 24 h, or <2.5 mmol/L in the first 48 h after birth. A t test or Welch's approximate t test was used to compare the mean 1,5-AG and A1C of mothers with +NH versus those without (-NH), adjusted for gestational age and analyzed by diabetes type and across trimesters.Results: Mean 1,5-AG significantly differed across groups: T1DM 3.77 ± 2.82 μg/mL, T2DM 5.73 ± 4.38 μg/mL, GDM 8.89 ± 4.39 μg/mL (P<.0001), suggesting less glucose exposure in GDM relative to T1DM or T2DM. A negative linear association was found between mean 1,5-AG and z-scores (R= -0.28, P = .005. In contrast, the association between mean A1C and z-scores was weaker (R = 0.15, P = .14). The mean 1,5-AG tended to be lower in the +NH cohort versus -NH (P = .08), and this was statistically significant (P = .01) among subjects with GDM.Conclusion: The association of 1,5-AG with complications related to glycemic exposure supports the notion of its utility as an adjunct glycemic biomarker in pregnancies complicated by diabetes and across trimesters.Abbreviations: 1,5-AG = 1,5-anhydroglucitol A1C = glycated hemoglobin A1C BMI = body mass index CGM = continuous glucose monitoring GDM = gestational diabetes mellitus LGA = large for gestational age MICC = maternal and infant care unit NBW = neonatal birth weight NH = neonatal hypoglycemia PPH = postprandial hyperglycemia SMBG = self-monitoring of blood glucose T1DM = type 1 diabetes mellitus T2DM = type 2 diabetes mellitus     

Relationship of Adipokines and Proinflammatory Cytokines Among Asian Indians With Obesity and Youth Onset Type 2 Diabetes

Objective: It is well known that inflammation is associated with diabetes, but it is unclear whether obesity mediates this association in individuals with youth-onset type 2 diabetes mellitus (T2DM-Y).Methods: We recruited individuals with T2DM-Y (age at onset <25 years) and age-matched normal glucose tolerance (NGT) subjects. Participants were further classified using Asia-Pacific body mass index cut-points for obesity and categorized as: nonobese NGT (n = 100), Obese NGT (n = 50), nonobese T2DM-Y (n = 50), and obese T2DM-Y (n = 50). We compared adipokines (adiponectin and leptin) and proinflammatory cytokines (tumor necrosis factor alpha &lsqb;TNF-α] and monocyte chemotactic protein-1 &lsqb;MCP-1]) across groups.Results: Compared to nonobese NGT, the other 3 groups (obese NGT, nonobese T2DM-Y, and obese T2DM-Y) were found to have lower adiponectin (7.7 vs. 5.7, 4.2, 3.8 μg/mL, P<.01), and higher leptin (3.6 vs. 5.4, 5.7, 7.9 μg/mL, P<.001) and MCP 1 (186 vs. 272, 340, 473 pg/mL, P<.001) respectively. However, TNF-α levels were higher only among nonobese T2DM-Y (112 pg/mL) and obese T2DM-Y (141 pg/mL, P<.01 for each). After adjusting for age, sex, waist, hypertension, homeostatic model assessment of insulin resistance (HOMA-IR), serum cholesterol, triglycerides, and family history of diabetes, adiponectin was associated with 33% and 41% lower odds of being nonobese T2DM and obese T2DM, respectively. However, adjusted for same factors, leptin, TNF-α, and MCP-1 were associated with markedly higher odds (5- to 14-fold) of nonobese and obese T2DM.Conclusion: In young Asian Indians, leptin and proinflammatory cytokines are positively, and adiponectin negatively, associated with both nonobese and obese T2DM-Y compared to nonobese NGT individuals.Abbreviations: BMI = body mass index CI = confidence interval FPG = fasting plasma glucose HOMA-IR = homeostatic model assessment of insulin resistance IGT = impaired glucose tolerance MCP-1 = monocyte chemotactic protein-1 NGT = normal glucose tolerance OGTT = oral glucose tolerance test OR = odds ratio T2DM-Y = youth-onset type 2 diabetes TNF-α = tumor necrosis factor-α     

Serum Levels of Carcinoembryonic Antigen in Patients with Type 2 Diabetes

Objective: To investigate whether serum carcinoembryonic antigen (CEA) levels are associated with type 2 diabetes mellitus (T2DM) and glycated hemoglobin (HbA1c).Methods: A comparative, cross-sectional, observational study was conducted at Jordan University Hospital, Amman, Jordan, on 282 adult subjects from March 2012 to June 2015. Subjects were classified into 2 groups: T2DM subjects (n = 168) and a healthy comparison group (n = 114). Subjects with any condition known to be associated with elevated CEA levels were excluded. HbA1c and serum CEA levels were measured, and body mass index (BMI) was determined.Results: Subjects with T2DM had significantly higher mean serum CEA than controls (2.4 ± 1.5 vs. 1.5 ± 1.2 ng/mL, P<.0001). Sex did not correlate with CEA levels, while age (Spearman's rho [ρ] = 0.18, P =.002) and HbA1c (ρ = 0.56, P<.0001) did; however, age no longer correlated after correcting for diabetic status. HbA1c was the only variable shown to correlate with CEA in a stepwise linear regression (r = 0.37, P<.001).Conclusion: We observed a statistically significant association between elevated CEA and T2DM, despite average CEA values for both groups being within the reference range. In addition, serum CEA levels correlated positively with HbA1c values.Abbreviations:ADA = American Diabetes AssociationBMI = body mass indexCA 19-9 = carbohydrate antigen 19-9CEA = carcinoembryonic antigenCRP = C-reactive proteinDM = diabetes mellitusHbA1c = glycated hemoglobinJUH = Jordan University HospitalT2DM = type 2 diabetes mellitusρ = Spearman's correlation coefficient