Maximizing Patient Safety with Newly Approved Therapies: Focus on SGLT2 Inhibitors

Abbreviations: CV = cardiovascular DPP4 = dipeptidyl peptidase 4 euDKA = euglycemic diabetic ketoacidosis FDA = Food & Drug Administration SGLT2 = sodium glucose cotransporter 2 T2DM = type 2 diabetes mellitus     

The Emerging Role Of Adjunctive Noninsulin Antihyperglycemic Therapy In The Management Of Type 1 Diabetes

Objective: Review available data on adjunctive therapies for type 1 diabetes (T1D), with a special focus on newer antihyperglycemic agents.Methods: Published data on hypoglycemia, obesity, mortality, and goal attainment in T1D were reviewed to determine unmet therapeutic needs. PubMed databases and abstracts from recent diabetes meetings were searched using the term “type 1 diabetes” and the available and investigational sodium-glucose cotransporter (SGLT) inhibitors, glucagon-like peptide 1 (GLP-1) receptor agonists, dipeptidyl peptidase 4 inhibitors, and metformin.Results: The majority of patients with T1D do not meet glycated hemoglobin (A1C) goals established by major diabetes organizations. Hypoglycemia risks and a rising incidence of obesity and metabolic syndrome featured in the T1D population limit optimal use of intensive insulin therapy. Noninsulin antihyperglycemic agents may enable T1D patients to achieve target A1C levels using lower insulin doses, which may reduce the risk of hypoglycemia. In pilot studies, the SGLT2 inhibitor dapagliflozin and the GLP-1 receptor agonist liraglutide reduced blood glucose, weight, and insulin dose in patients with T1D. Phase 2 studies with the SGLT2 inhibitor empagliflozin and the dual SGLT1 and SGLT2 inhibitor sotagliflozin, which acts in the gut and the kidney, have demonstrated reductions in A1C, weight, and glucose variability without an increased incidence of hypoglycemia.Conclusion: Newer antihyperglycemic agents, particularly GLP-1 agonists, SGLT2 inhibitors, and dual SGLT1 and SGLT2 inhibitors, show promise as adjunctive treatment for T1D that may help patients achieve better glucose control without weight gain or increased hypoglycemia.Abbreviations:A1C = glycated hemoglobinBMI = body mass indexCI = confidence intervalDKA = diabetic ketoacidosisDPP-4 = dipeptidyl peptidase 4GLP-1 = glucagonlike peptide 1PYY = polypeptide tyrosine tyrosineSGLT = sodium-glucose cotransporterSGLT1 = sodium-glucose cotransporter 1SGLT2 = sodium-glucose cotransporter 2T1D = type 1 diabetesT2D = type 2 diabetesTDD = total daily dosage     

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     

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     

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     

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     

Inhibition of Renal Glucose Reabsorption: A Novel Strategy for Achieving Glucose Control in Type 2 Diabetes Mellitus

ObjectiveTo review the renal handling of glucose and the role of inhibition of a sodium-glucose transporter (SGLT2) in the treatment of type 2 diabetes mellitus (T2DM).MethodsWe review the published data about (1) the filtration and reabsorption of glucose by the kidneys in normal subjects and patients with diabetes; (2) the deleterious effects of long-term elevation of plasma glucose levels on muscle and hepatic insulin sensitivity and beta cell function (that is, glucotoxicity); (3) the effect of inhibiting the SGLT2 transporter on the induction of glycosuria, glycemic control, insulin resistance, and beta cell dysfunction in animals and humans with diabetes; and (4) the safety of SGLT2 inhibition as a therapeutic modality to treat human T2DM.ResultsStudies in animal models of diabetes document the efficacy of the SGLT2 inhibitors in inducing glycosuria, decreasing both fasting and postprandial glucose levels, augmenting beta cell function, and enhancing hepatic and muscle insulin sensitivity. In human T2DM, short-term studies with dapagliflozin (12 weeks) and sergliflozin (2 weeks) have confirmed the efficacy of these agents in improving glycemic control. Excessive urinary electrolyte or water loss, plasma electrolyte disturbances, and hypoglycemia were not observed.ConclusionSGLT2 inhibitors represent a promising approach to the treatment of T2DM. They have the potential to be used as monotherapy, as well as in combination with all approved antidiabetic agents. Because their mechanism of action is independent of the severity of beta cell dysfunction or insulin resistance, efficacy should not decline with progressive beta cell failure or in the presence of severe insulin resistance. (Endocr Pract. 2008;14:782-790)     

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     

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     

Sglt-2 Inhibitors As Adjunct Therapy In Type 1 Diabetes: Reason For Hope And Caution

Abbreviations:CGM = continuous glucose monitoringDCGM = Dexcom G4 Platinum CGMDKA = diabetic ketoacidosisDM = diabetes mellitusHbA1c = glycated hemoglobin A1cSGLT-2 = sodium glucose cotransporter 2     

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     

Insulin treatment increases myocardial ceramide accumulation and disrupts cardiometabolic function

Although antidiabetic agents have been developed to target one or more of the core defects of type 2 diabetes mellitus (T2DM), many patients do not achieve glycemic goals. Inhibition of the sodium-glucose cotransporter 2 (SGLT2) induces glycosuria, reduces glucose toxicity and improves insulin sensitivity and β-cell function. As the mechanism of action of SGLT2 inhibitors is different from other agents and completely insulin-independent, the use of these drugs might potentially be efficacious alone or in combination with any other antidiabetic drug, including insulin. Dapagliflozin is a highly selective and reversible SGLT2 inhibitor approved for use in adult patients with T2DM as monotherapy in patients intolerant of metformin or as adjunctive therapy in patients inadequately controlled on existing antidiabetic medications, including insulin. A literature search conducted using PubMed identified key publications related to the use of dapagliflozin in the treatment of patients with diabetes mellitus. No date limits were applied. This review focuses on the safety and efficacy of this SGLT2 inhibitor. Dapagliflozin produces dose-related reductions in glycosylated hemoglobin (HbA_1c) as monotherapy and as add-on to other antidiabetic agents, with significant reductions in body weight. Hypoglycemia is uncommon. Preliminary data from a phase 2 pharmacokinetic/pharmacodynamic study suggest that dapagliflozin may also improve glycemic control in patients with type 1 diabetes mellitus. Clinical trials published to date show that dapagliflozin is safe and effective as monotherapy or as an add-on to insulin or oral antidiabetic agents in patients with T2DM.

     

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     

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     

American Association of Clinical Endocrinologists and American College of Endocrinology – Clinical Practice Guidelines for Developing A Diabetes Mellitus Comprehensive Care Plan – 2015 — Executive Summary

The American Association of Clinical Endocrinologists/American College of Endocrinology Medical Guidelines for Clinical Practice are systematically developed statements to assist healthcare professionals in medical decision making for specific clinical conditions. Most of the content herein is based on literature reviews. In areas of uncertainty, professional judgment was applied. These guidelines are a working document that reflects the state of the field at the time of publication. Because rapid changes in this area are expected, periodic revisions are inevitable. We encourage medical professionals to use this information in conjunction with their best clinical judgment. The presented recommendations may not be appropriate in all situations. Any decision by practitioners to apply these guidelines must be made in light of local resources and individual patient circumstances.Abbreviations: A1C = hemoglobin A1c AACE = American Association of Clinical Endocrinologists ACCORD = Action to Control Cardiovascular Risk in Diabetes ACE = angiotensin-converting enzyme ADA = American Diabetes Association AER = albumin excretion rate ApoB = apolipoprotein B ARB = angiotensin II receptor blocker ASCVD = atherosclerotic cardiovascular disease BEL = best evidence level BMI = body mass index CDC = Centers for Disease Control and Prevention CDE = certified diabetes educator CGM = continuous glucose monitoring CKD = chronic kidney disease CPAP = continuous positive airway pressure CPG = clinical practice guideline CSI = continuous subcutaneous insulin infusion CVD = cardiovascular disease DPP-4 = dipeptidyl peptidase 4 DSME = diabetes self-management education DSPN = distal symmetric polyneuropathy EL = evidence level ESRD = end-stage renal disease FDA = U.S. Food and Drug Administration FPG = fasting plasma glucose GDM = gestational diabetes mellitus GFR = glomerular filtration rate GLP-1 = glucagon-like peptide 1 HBV = hepatitis B virus HDL-C = high-density lipoprotein cholesterol HR = hazard ratio ICU = intensive care unit IFG = impaired fasting glucose IGT = impaired glucose tolerance ISF = insulin sensitivity factor LDL-C = low-density lipoprotein cholesterol LDL-P = low-density lipoprotein particles MDI = multiple daily injections MNT = medical nutrition therapy NPH = neutral protamine Hagedorn OGTT = oral glucose tolerance test OSA = obstructive sleep apnea PG = plasma glucose POC = point-of-care PPG = postprandial glucose PTH = parathyroid hormone Q = clinical question R = recommendation RAAS = reninangiotensin-aldosterone system RCT = randomized controlled trial SFN = small-fiber neuropathy SGLT2 = sodium glucose cotransporter 2 SMBG = self-monitoring of blood glucose T1D = type 1 diabetes T2D = type 2 diabetes TZD = thiazolidinedione     

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     

The Association of Decreased Serum Gdnf Level with Hyperglycemia and Depression in Type 2 Diabetes Mellitus

Objective: Comorbidity of diabetes and depression is a critical problem. Decreased glial-derived neurotrophic factor (GDNF) has been demonstrated in depression, but no evidence of a relationship between GDNF and diabetes has been shown. The present studies were designed to investigate the relationship between GDNF and metabolism.Methods: In Study 1, we performed a case-control study in which subjects with type 2 diabetes mellitus (T2DM), prediabetes (p-DM), and normal glucose tolerance (NGT) were included. In Study 2, we performed a cross-sectional study in 296 patients having pre-existing diabetes in whom the levels of serum GDNF, blood glucose, blood lipids, blood pressure, body mass index, scores from the Patient Health Questionnaire (PHQ-9), the EuroQol-5 scale, and the diabetes distress scale were measured, as well as single-nucleotide polymorphisms of GDNF including rs884344, rs3812047, and rs2075680.Results: In Study 1, serum GDNF concentration was significantly lower in the T2DM group than in the NGT group (NGT: 11.706 ± 3.918 pg/mL; p-DM: 10.736 ± 3.722 pg/mL; type 2 diabetes mellitus &lsqb;T2DM group]: 9.884 ± 2.804 pg/mL, P = .008). In Study 2, significantly decreased serum GDNF levels were observed in subjects with poor glycemic control or depression (glycated hemoglobin &lsqb;HbA1c] <7.0% without depression: 11.524 ± 2.903 pg/mL; HbA1c ≥7.0% without depression: 10.625 ± 2.577 pg/mL; HbA1c <7.0% with depression: 10.355 ± 2.432 pg/mL; HbA1c ≥7.0% with depression: 8.824 ± 2.102 pg/mL, P = .008). Double-factor variance analysis showed that glycemic control and depression were independent factors for the GDNF level. Moreover, the serum GDNF level was significantly inversely associated with the fasting plasma glucose, 2 hours postprandial plasma glucose, HbA1c, and PHQ-9 score.Conclusion: Glycemic dysregulation was an independent factor for the GDNF level. These findings suggest that GDNF level might be involved in the pathophysiology of T2DM and depression through various pathways.Abbreviations: BP = blood pressure; CHO = cholesterol; DDS = diabetes distress scale; DM = diabetes mellitus; EQ-5D = the health-related dimensions of the EuroQol-5 scale; FPG = fasting plasma glucose; GDNF = glial-derived neurotrophic factor; HbA1c = glycated hemoglobin; HDL = high-density lipoprotein; LDL = low-density lipoprotein; NGT = normal glucose tolerance; PHQ-9 = Patient Health Questionnaire; p-DM = prediabetes; PPG = postprandial plasma glucose; SNP = single-nucleotide polymorphism; T2DM = type 2 diabetes mellitus; TG = triglyceride     

Ipragliflozin Improves Hepatic Steatosis in Obese Mice and Liver Dysfunction in Type 2 Diabetic Patients Irrespective of Body Weight Reduction

Type 2 diabetes mellitus (T2DM) is associated with a high incidence of non-alcoholic fatty liver disease (NAFLD) related to obesity and insulin resistance. Currently, medical interventions for NAFLD have focused on diet control and exercise to reduce body weight, and there is a requirement for effective pharmacological therapies. Sodium-glucose cotransporter 2 (SGLT2) inhibitors are oral antidiabetic drugs that promote the urinary excretion of glucose by blocking its reabsorption in renal proximal tubules. SGLT2 inhibitors lower blood glucose independent of insulin action and are expected to reduce body weight because of urinary calorie loss. Here we show that an SGLT2 inhibitor ipragliflozin improves hepatic steatosis in high-fat diet-induced and leptin-deficient (ob/ob) obese mice irrespective of body weight reduction. In the obese mice, ipragliflozin-induced hyperphagia occurred to increase energy intake, attenuating body weight reduction with increased epididymal fat mass. There is an inverse correlation between weights of liver and epididymal fat in ipragliflozin-treated obese mice, suggesting that ipragliflozin treatment promotes normotopic fat accumulation in the epididymal fat and prevents ectopic fat accumulation in the liver. Despite increased adiposity, ipragliflozin ameliorates obesity-associated inflammation and insulin resistance in epididymal fat. Clinically, ipragliflozin improves liver dysfunction in patients with T2DM irrespective of body weight reduction. These findings provide new insight into the effects of SGLT2 inhibitors on energy homeostasis and fat accumulation and indicate their potential therapeutic efficacy in T2DM-associated hepatic steatosis.     

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