Basal-Bolus Regimen With Insulin Analogues Versus Human Insulin in Medical Patients with type 2 Diabetes: A Randomized Controlled Trial in Latin America

Objective: Few randomized studies have focused on the optimal management of non–intensive care unit patients with type 2 diabetes in Latin America. We compared the safety and efficacy of a basal-bolus regimen with analogues and human insulins in general medicine patients admitted to a University Hospital in Asunción, Paraguay.Methods: In a prospective, open-label trial, we randomized 134 nonsurgical patients with blood glucose (BG) between 140 and 400 mg/dL to a basal-bolus regimen with glargine once daily and glulisine before meals (n = 66) or Neutral Protamine Hagedorn (NPH) twice daily and regular insulin before meals (n = 68). Major outcomes included differences in daily BG levels and frequency of hypoglycemic events between treatment groups.Results: There were no differences in the mean daily BG (157 ± 37 mg/dL versus 158 ± 44 mg/dL; P = .90) or in the number of BG readings within target <140 mg/dL before meals (76% versus 74%) between the glargine/glulisine and NPH/regular regimens. The mean insulin dose in the glargine/glulisine group was 0.76 ± 0.3 units/kg/day (glargine, 22 ± 9 units/day; glulisine, 31 ± 12 units/day) and was not different compared with NPH/regular group (0.75 ± 0.3 units/kg/day [NPH, 28 ± 12 units/day; regular, 23 ± 9 units/day]). The overall prevalence of hypoglycemia (<70 mg/dL) was similar between patients treated with NPH/regular and glargine/glulisine (38% versus 35%; P = .68), but more patients treated with human insulin had severe (<40 mg/dL) hypoglycemia (7.6% versus 25%; P = .08). There were no differences in length of hospital stay or mortality between groups.Conclusion: The basal-bolus regimen with insulin analogues resulted in equivalent glycemic control and frequency of hypoglycemia compared to treatment with human insulin in hospitalized patients with diabetes.Abbreviations: BG = blood glucose BMI = body mass index HbA_1c = glycated hemoglobin NPH = Neutral Protamine Hagedorn T2D = type 2 diabetes     

Eating and Glycemic Control Among Critically Ill Patients Receiving Continuous Intravenous Insulin

Objective: Consensus guidelines recommend that intensive care unit (ICU) patients with blood glucose (BG) levels >180 mg/dL receive continuous intravenous insulin (CII). The effectiveness of CII at controlling BG levels among patients who are eating relative to those who are eating nothing by mouth (nil per os; NPO) has not been described.Methods: We conducted a retrospective cohort study of 260 adult patients (156 eating, 104 NPO) admitted to an ICU between January 1, 2014, and December 31, 2014, who received CII. Patients were excluded for a diagnosis of diabetic ketoacidosis or hyperglycemic hyperosmolar nonketotic syndrome, admission to an obstetrics service, or receiving continuous enteral or parenteral nutrition.Results: Among 22 baseline characteristics, the proportion of patients receiving glucocorticoid treatment (GCTx) (17.3% eating, 37.5% NPO; P<.001) and APACHE II score (15.0 ± 7.5 eating, 17.9 ± 7.9 NPO; P = .004) were significantly different between eating and NPO patients. There was no significant difference in the primary outcome of patient-day weighted mean BG overall (153 ± 8 mg/dL eating, 156 ± 7 mg/dL NPO; P = .73), or day-by-day BG (P = .37) adjusted for GCTx and APACHE score. Surprisingly, there was a significant difference in the distribution of BG values, with eating patients having a higher percentage of BG readings in the recommended range of 140 to 180 mg/dL. However, eating patients showed greater glucose variability (coefficient of variation 23.1 ± 1.0 eating, 21.2 ± 1.0 NPO; P = .034).Conclusion: Eating may not adversely affect BG levels of ICU patients receiving CII. Whether or not prandial insulin improves glycemic control in this setting should be studied.Abbreviations: BG = blood glucose; CII = continuous insulin infusion; CV = coefficient of variation; HbA1c = hemoglobin A1c; ICU = intensive care unit; NPO = nil per os; PDWMBG = patient day weighted mean blood glucose     

Inpatient Hypoglycemic Events in a Comparative Effectiveness Trial for Glycemic Control in a High-Risk Population

Objective: Inpatient hypoglycemia (glucose ≤70 mg/dL) is a limitation of intensive control with insulin. Causes of hypoglycemia were evaluated in a randomized controlled trial examining intensive glycemic control (IG, target 140 mg/dL) versus moderate glycemic control (MG, target 180 mg/dL) on post–liver transplant outcomes.Methods: Hypoglycemic episodes were reviewed by a multidisciplinary team to calculate and identify contributing pathophysiologic and operational factors. A subsequent subgroup case control (1:1) analysis (with/without) hypoglycemia was completed to further delineate factors. A total of 164 participants were enrolled, and 155 patients were examined in depth.Results: Overall, insulin-related hypoglycemia was experienced in 24 of 82 patients in IG (episodes: 20 drip, 36 subcutaneous [SQ]) and 4 of 82 in MG (episodes: 2 drip, 2 SQ). Most episodes occurred at night (41 of 60), with high insulin amounts (44 of 60), and during a protocol deviation (51 of 60). Compared to those without hypoglycemia (n = 127 vs. n = 28), hypoglycemic patients had significantly longer hospital stays (13.6 ± 12.6 days vs. 7.4 ± 6.1 days; P = .002), higher peak insulin drip rates (17.4 ± 10.3 U/h vs. 13.1 ± 9.9 U/h; P = .044), and higher peak insulin glargine doses (36.8 ± 21.4 U vs. 26.2 ± 24.3 U; P = .035). In the case-matched analysis (24 cases, 24 controls), those with insulin-related hypoglycemia had higher median peak insulin drip rates (17 U/h vs. 11 U/h; P = .04) and protocol deviations (92% vs. 50%; P = .004).Conclusion: Peak insulin requirements and protocol deviations were correlated with hypoglycemia.Abbreviations:DM = diabetes mellitusICU = intensive care unitIG = intensive glycemic controlMELD = Model for End-stage Liver DiseaseMG = moderate glycemic controlSQ = subcutaneous     

Clinical Characteristics of Patients with Type 2 Diabetes Mellitus Continued on Oral Antidiabetes Medications in the Hospital

Objective: Basal/basal-bolus insulin with discontinuation of home oral antidiabetes medications (OADs) is the preferred method to achieve glycemic control in many hospitalized patients. We hypothesized that a subset of patients with type 2 diabetes mellitus (T2DM) can achieve an acceptable level of blood sugar control without cessation of their OADs when hospitalized.Methods: A retrospective chart review was conducted on patients with T2DM who were only on OADs at home, admitted to Fairview Hospital, a community hospital in the Cleveland Clinic Health System. We divided patients into those whose OADs were continued (group 1) and those whose OADs were discontinued (group 2), with or without the addition of insulin in the hospital. Blood glucose (BG) levels and patient characteristics were compared.Results: There were 175 patients, 73 in group 1 and 102 in group 2. The percentage of patients achieving all BG values within 100 to 180 mg/dL was the same between group 1 (21.9%) and group 2 (23.8%) (P = .78). Mean BG was similar between group 1 and group 2 (146.1 ± 41.4 mg/dL versus 152.1 ± 38.9 mg/dL; P = .33), with no significant difference in terms of percentage of patients with hyperglycemia or hypoglycemia. A greater proportion of patients in group 1 had an uninterrupted feeding status, nonintensive care unit admission and no contrast dye exposure, and a shorter length of stay.Conclusion: Our study shows that patients with certain characteristics could achieve an acceptable level of glycemic control without cessation of their home OADs.Abbreviations: BG = blood glucose; DPP-4 = dipeptidyl dipeptidase 4; GFR = glomerular filtration rate; HbA1c = hemoglobin A1c; ICU = intensive care unit; LOS = length of stay; NPO = nil per os; OAD = oral antidiabetes medication; POC = point of care; T2DM = type 2 diabetes mellitus     

High-Dose Glucocorticoid Treatment Does Not Induce Severe Hyperglycemia in Young Patients with Autoimmune Diseases by Cgms

Objective: High-dose glucocorticoids (HDG) are used in the treatment of autoimmune diseases. Glucocorticoids-induced hyperglycemia (GIH) is often described in elderly patients. In young patients with autoimmune diseases, however, the risk for GIH has not been well characterized.Methods: We recruited 24 inpatients (median age, 32 years; interquartile range, 25–42) with exacerbations of autoimmune diseases, receiving 1 to 2 mg/kg/day prednisone or equivalent methylprednisone. Fourteen subjects were naïve to glucocorticoids (group 1) and 10 subjects were on glucocorticoid maintenance (≤15 mg/day prednisone at least 3 months) (group 2) prior to HDG. All subjects were monitored by continuous glucose monitoring system (CGMS) for 3 days.Results: GIH developed in 21 (91%) subjects, 11/13 in group 1 and 10/10 in group 2. The main peak of glucose excursion (128.7 ± 6.4 mg/dL, group 1; 143.9 ± 10.0 mg/dL, group 2) occurred at 2 to 3 pm. Another peak occurred before sleep. Two-hour mean postprandial glucose levels were normal in both groups: breakfast, 105.0 ± 28.4 versus 125.6 ± 24.4 mg/dL, P = .065; lunch, 115.7 ± 21.1 versus 135.9 ± 29.0 mg/dL, P = .082; dinner, 122.8 ± 18.5 versus 137.8 ± 26.4 mg/dL, P = .144 in groups 1 and 2, respectively. There was a positive association between pretreatment hemoglobin A1C and peak glucose levels (P<.0001). Notably, 35% of our subjects experienced early morning hypoglycemia (65.2 ± 2.8 mg/dL).Conclusion: In hospitalized young patients with auto-immune diseases, CGMS data revealed that short-term consistent HDG treatment induced mild hyperglycemia, peaking in the early afternoon and before sleep. Early morning hypoglycemia was found in 35%.Abbreviations: A1C = hemoglobin A1C; AUC = the area under the curve; BG = blood glucose; BMI = body mass index; CGMS = continuous glucose monitoring system; DM = diabetes mellitus; FBG = fasting blood glucose; GA = glycated albumin; GCs = glucocorticoids; GIH = glucocorticoids-induced hyperglycemia; HDG = high-dose glucocorticoids; HOMA-IR = Homeostasis Model Assessment-Insulin Resistance; IG = interstitial glucose; IQR = interquartile range; PUMCH = Peking Union Medical College Hospital; SLE = systemic lupus erythematosus     

Glycemic Control and Outcomes of Hospitalization in Noncritically Ill Patients With Type 2 Diabetes Admitted With Cardiac Problems or Infections

ObjectiveAlthough the importance of glycemic control is well established for patients with diabetes hospitalized for surgical problems, it has not been supported by clinical studies for patients with diabetes hospitalized on the medical floors.MethodsWe conducted a retrospective study of 378 patients with type 2 diabetes admitted for cardiac or infectious disease (ID) diagnosis between September 1, 2011, and August 1, 2012. Exclusion criteria included type 1 diabetes, admission to the intensive care unit (ICU), hospital stay shorter than 3 days, and daily glucocorticoid dose > 20 mg of methylprednisolone. The primary composite outcome included death during hospitalization, ICU transfer, initiation of enteral or parenteral nutrition, line infection, deep vein thrombosis, pulmonary embolism, rise in plasma creatinine by 1 or > 2 mg/dL, new infection, an infection lasting for more than 20 days, and readmission within 30 days and between 1 and 10 months after discharge.ResultsPatients were stratified by mean blood glucose (BG) level: group 1 had mean BG of < 180 mg/dL (n = 286; mean BG, 142 ± 23 mg/dL), whereas group 2 had mean BG levels > 181 mg/dL (n = 92; mean BG, 218 ± 34 mg/dL; P < .0001). Group 2 had a 46% higher occurrence of the primary outcome (P < .0004). The rate of unfavorable events was greater in cardiac and ID patients with worse glycemic control (group 2).ConclusionOur data strongly support a positive influence of better glycemic control (average glycemia < 180 mg/dL or 10 mmol/L) on outcomes of hospitaliza-tion in patients with type 2 diabetes. (Endocr Pract. 2014; 20:1303-1308)     

Relationship Between the Environmental Endocrine Disruptor Bisphenol a and Dyslipidemia: A Five-Year Prospective Study

Objective: To investigate whether serum bisphenol A (BPA) concentration is related to the occurrence of dyslipidemia.Methods: A total of 574 adults were enrolled at baseline and followed up for 5 years. Concentrations of serum BPA, triglycerides (TGs), low-density lipoprotein (LDL) cholesterol, and high-density lipoprotein (HDL) cholesterol were measured. Dyslipidemia was defined as the existence of one or more of the following conditions: high-LDL-cholesterolemia (LDL ≥140 mg/dL), hypertriglyceridemia (TGs ≥150 mg/dL), or low-HDL-cholesterolemia (HDL <40 mg/dL). Participants were stratified into tertiles according to low, median, and high baseline serum BPA levels. Multivariable linear and logistic regression models were used. Data from baseline and follow-up were used for cross-sectional and longitudinal analyses, respectively.Results: In the cross-sectional analysis, compared to subjects in the low BPA tertile, those in the high BPA tertile showed a higher level of LDL cholesterol (108.1 ± 24.4 mg/dL versus 119.5 ± 26.9 mg/dL; P<.05) and a lower level of HDL cholesterol (46.2 ± 11.7 mg/dL versus 39.5 ± 7.5 mg/dL; P<.05). In multivariable linear regression models, Z-transformed BPA was positively associated with LDL cholesterol (β= 0.13, P = .002) and negatively associated with HDL cholesterol (β= -0.28; P<.001). After cross-sectionally adjusting for confounders, subjects in higher BPA exposure was associated with a higher prevalence of low-HDL-cholesterolemia. Longitudinally, in subjects without low-HDL-cholesterolemia at baseline, each SD increment in baseline BPA was associated with a higher incidence of low-HDL-cholesterolemia after adjustment for confounders (odds ratio [95% confidence interval; CI] 2.76, 95% CI 1.21, 6.29).Conclusion: Cross-sectionally, higher BPA exposure is associated with a higher prevalence of low-HDL-cholesterolemia. Longitudinally, baseline BPA is an independent predictor of the 5-year incidence of low-HDL-cholesterolemia.Abbreviations: BMI = body mass index; BPA = bisphenol A; CI = confidence interval; CVD = cardiovascular disease; EIMDS = environment, inflammation and metabolic diseases study; HDL = high density lipoprotein; LDL = low density lipoprotein; OR = odds ratio; PPAR = peroxisome proliferator-activated receptor; SBP = systolic blood pressure; TG = triglyceride; Z-BPA = Z-transformed bisphenol A     

Glucose Variability is an Independent Predictor of Mortality in Hospitalized Patients Treated with Total Parenteral Nutrition

ObjectiveHyperglycemia is associated with increased mortality in critically ill patients treated with total parenteral nutrition (TPN). The role of glucose variability (GV) in predicting outcomes in these patients is not known.MethodsThis retrospective study included medical and surgical patients receiving TPN in a community teaching hospital. GV was calculated by standard deviation (SD) of blood glucose (BG) values and by mean BG daily (Δ) change (daily max – daily minimum).ResultsA total of 276 medical and surgical patients (mean age: 51 ± 18 years), 19% with a history of diabetes mellitus (DM), and 74% with intensive care unit (ICU) admission were treated with TPN. During TPN, the mean daily BG was 142.9 ± 33 mg/dL; frequencies of hypoglycemia < 70 and < 40 mg/dL were 41% and 3%, respectively; and hospital mortality was 27.2%. The mean GV by SD was 38 ± 21 mg/dL and by mean (Δ) change 58 ± 34 mg/dL. GV was significantly higher in deceased patients (SD: 48 ± 25 vs. 34 ± 18 mg/dL and Δ change: 75 ± 39 vs. 51 ± 29 mg/dL, both P < .01) than surviving patients. Multivariate analysis adjusted for age, DM status, gender, APACHE (Acute Physiology and Chronic Health Evaluation) score, mean daily glucose, and hypoglycemia revealed that GV was an independent predictor of hospital mortality (P < .05). The association between GV and mortality was limited to patients without a history of DM and was not present in patients with DM.ConclusionHigh GV is associated with increased hospital mortality independent of the presence and severity of hyperglycemia or hypoglycemia during TPN therapy. Prospective randomized trials are needed to determine if reduction in GV with intensive glycemic control improves clinical outcomes in patients treated with TPN. (Endocr Pract. 2014;20:41-45)     

Markedly Delayed Insulin Secretion and a High Rate of Undetected Overt Diabetes Characterize Glucose Metabolism in Adult Patients with Cystic Fibrosis After Lung Transplantation

Objective: Cystic fibrosis–related diabetes (CFRD) is associated with adverse clinical outcomes and should be screened for by an annual oral glucose tolerance test (OGTT). Since pathophysiologic studies have mainly been performed in a pediatric/adolescent, nontransplanted collective, we aimed to assess parameters of insulin secretion and sensitivity in adult cystic fibrosis (CF) patients after lung transplantation (LT).Methods: Twelve adult CF patients after LT without known diabetes (33.3 ± 11.5 years; body mass index &lsqb;BMI] 21.5 ± 3.3 kg/m²) and 8 control subjects matched by age (36.0 ± 6.6 years; P>.05), BMI (22.3 ± 1.5 kg/m²; P>.05), and gender (CON group) underwent a 3-hour OGTT with glucose, insulin, and C-peptide measurements. Parameters of insulin secretion and sensitivity as well as lipid profiles were assessed.Results: In the CF group, 4 patients were diagnosed with overt diabetes (CFRD) compared to CF patients without diabetes (CF-noDM), of whom 6 had indeterminate glycemia with 1-h glucose values >200 mg/dL. The insulin peak after glucose load occurred after 30 minutes in CON, after 90 minutes in CF-noDM, and was missing in CFRD. Insulin sensitivity was comparable between the groups. Beta-cell glucose sensitivity was markedly reduced in CFRD (10.7 ± 5.8 pmol/min*m²*mM), higher in CF-noDM (39.9 ± 23.4 pmol/min*m²*mM), but still significantly lower compared to CON (108.3 ± 53.9 pmol/min*m²*mM; P = .0008). CFRD patients exhibited increased triglyceride levels and decreased high-density lipoprotein levels.Conclusion: Adult CF patients after LT have profound disturbances in glucose metabolism, with a high rate of undetected diabetes and markedly delayed insulin secretion. Curbed beta-cell glucose sensitivity rather than insulin resistance explains postprandial hyperglycemia and is accompanied by abnormalities in lipid metabolism.Abbreviations: AUC = area under the curve; BMI = body mass index; CF = cystic fibrosis; CFRD = cystic fibrosis–related diabetes; CFTR = cystic fibrosis transmembrane-conductance regulator; CF-TX = cystic fibrosis patients who underwent lung transplantation; CGM = continuous glucose monitoring; HbA1c = glycated hemoglobin; HDL = high-density lipoprotein; INDET = indeterminate glycemia; LDL = low-density lipoprotein; LT = lung transplantation; OGIS = oral glucose sensitivity index; OGTT = oral glucose tolerance test; QUICKI = quantitative insulin sensitivity check index     

Vitamin D-Binding Protein in Healthy Pre- and Postmenopausal Women: Relationship with Estradiol Concentrations

Objective: To examine the relationship between endogenous serum estradiol and vitamin D–binding protein (DBP) and total, free, and bioavailable 25-hydroxyvitamin D (25OHD) concentrations in pre- and postmenopausal women.Methods: In 165 healthy women (ages, 26 to 75 years) not taking any form of exogenous estrogen, the serum concentrations of estradiol, 25OHD, DBP, parathyroid hormone, and albumin were measured. Free and bioavailable 25OHD (free + albumin-bound) levels were calculated from total 25OHD, DBP, and serum albumin levels.Results: Premenopausal women had higher serum 25OHD (31.5 ± 7.9 ng/mL), DBP (45.3 ± 6.2 mg/dL), and estradiol (52.8 ± 35.0 pg/mL) levels than postmenopausal women (26.5 ± 4.9 ng/mL, 41.7 ± 5.7 mg/dL, and 12.9 ± 4.9 pg/mL), respectively. In addition, the calculated free and bioavailable 25OHD levels were higher in prethan postmenopausal women (P<.05). Serum estradiol correlated with DBP (r = 0.22; P<.01) and total 25OHD (r = 0.27; P<.01). In multivariate regression models (with or without serum 25OHD), estradiol was independently associated with DBP (P<.05).Conclusion: Lower estradiol level is one of the factors that contribute to lower DBP levels in older women. Our data indicate that besides well-known factors such as age, gender, and race, serum estradiol concentrations are also a physiologic predictor of DBP concentration.Abbreviations: 25OHD = 25-hydroxyvitamin D BMI = body mass index CV = coefficient of variation DBP = vitamin D–binding protein PTH = parathyroid hormone SHBG = sex hormone–binding globulin     

Decreased Mortality with Tight Glycemic Control in Critically Ill Patients: A Retrospective Analysis in a Large Community Hospital System

ObjectiveTo measure the efficacy and possible adverse consequences of tight blood glucose (BG) control when compared to relaxed control.MethodsA retrospective, observational study was conducted at a community-based teaching hospital system among adult, nonmaternity hospitalized patients admitted to the intensive care unit (ICU). Tight glycemic control of BG was compared with less strict BG control, and the following outcome measurements were compared: BG, average length of stay (ALOS), severe hypoglycemia, and mortality.ResultsBetween 2008 and 2012, 18,919 patients were admitted to the ICU. The mortality rate was significantly lower (P = .0001) in patients with an average BG between 80 and 110 mg/dL (8%) and 111 and 140 mg/dL (9.4%) than in patients with average BG between 141 and 180 mg/dL (12.9%). Using tight glycemic control (80 to 110 mg/dL), the ALOS in the ICU decreased from 4 to 2.9 days (P < .0001) among all patients, and from 4.2 to 2.1 days (P < .0001) among patients who had undergone coronary artery bypass graft. Comparatively, the ALOS for the hospital decreased from 9.4 to 8 days. The incidence of severe hypoglycemia (BG < 40 mg/dL) was higher (P = .01) in the tight BG control group (4.78%) compared with the relaxed control group (3.5%). This rate was lower than in previously published studies that analyzed the use of tight control.ConclusionTight glycemic control using protocolbased insulin administration resulted in a decrease in mortality and ALOS among all patients in the ICU. The incidence of severe hypoglycemic episodes was slightly higher in the tightly controlled group but remained lower than in previously published studies. (Endocr Pract. 2014;20: 907-918)     

Gender Determines Serum Free Cortisol: Higher Levels in Men

Objective: Because only the free fraction of serum cortisol can readily access glucocorticoid receptors, we investigated whether or not a gender-related difference in serum free cortisol (FC) exists in the basal and adrenocorticotropic hormone (ACTH)-stimulated state.Methods: Serum total cortisol (TC) and FC were measured in 323 subjects (175 men; 148 women). Additionally, the low-dose 1-μg ACTH test was performed in 56 subjects (30 women, 26 men). Subjects were healthy volunteers, recruited in a preventive medicine screening program and an outpatient clinic.Results: Overall, basal serum TC and FC level were ~18 and ~33%, respectively, higher in men than in women (TC, 14.5 ± 0.33 μg/dL vs. 12.3 ± 0.33 μg/dL; P<.0001; FC, 0.68 ± 0.02 μg/dL vs. 0.51 ± 0.02 μg/dL; P<.0001). The higher FC in men relative to women was apparent across a wide age range (17 to 86 years) and persisted after adjustment for age and body mass index. The FC fraction (%FC, out of TC) was concordantly higher in men (5.4 ± 0.09% vs. 4.8 ± 0.3%; P = .046). FC was not related to the estimated menopausal status (women age below and above 47, 50, or 53 years). ACTH-stimulated FC levels were significantly higher in men compared to women, as reflected by the area under the response curve (49.4 ± 3.4 μg × min vs. 39.6 ± 2.2 μg × min; P = .0014).Conclusion: Gender is an unrecognized determinant of serum FC in humans. The possibility of lifelong exposure to the higher bioactive fraction of cortisol under basal conditions or daily stress involving ACTH stimulation should be further investigated in the context of gender-related phenotypic features such as “android” (visceral) fat deposition and longevity.Abbreviations:ACTH = adrenocorticotropic hormoneBMI = body mass indexCBG = cortisol-binding globulinFC = free cortisolHPA = hypothalamic-pituitary-adrenalTC = total cortisol     

Serum Free Cortisol During Glucagon Stimulation Test In Healthy Short-Statured Children And Adolescents

Objective: The total cortisol (TC) response may be measured during the glucagon stimulation test (GST) for growth hormone (GH) reserve in order to assess the integrity of the hypothalamic-pituitary-adrenal (HPA) axis. Measurements of TC are unreliable in conditions of albumin and cortisol-binding globulin (CBG) alterations (e.g., hypoproteinemia or CBG deficiency). We aimed to measure the serum free cortisol (sFC) response to the GST in children and adolescents and determine whether it could predict the GH response to glucagon stimulation.Methods: Infants and children with either short stature or growth attenuation who were referred for evaluation of GH reserve underwent the GST.Results: The study population consisted of 103 subjects (62 females), median age 3.9 years (range, 0.5–14). The mean basal and peak TC levels were 13.3 ± 6.7 μg/dL and 29.6 ± 8.8 μg/dL, respectively. The mean basal and peak sFC levels were 0.7 ± 0.8 μg/dL and 1.7 ± 1.1 μg/dL, respectively. There was a negative correlation between peak TC and age (r = -0.3, P = .007) but not between peak sFC and age (r = -0.09, P = .36). Ninety-five percent of the patients had peak TC levels >15.8 μg/dL and peak sFC levels >0.6 μg/dL.Conclusion: Our results on a cohort of healthy short-statured children can serve as reference values for the sFC response during GST. Based on these results, we propose peak TC levels >15.8 μg/dL and peak sFC levels >0.6 μg/dL for defining normalcy of the HPA axis during the GST in children and adolescents.Abbreviations:ACTH = adrenocorticotrophic hormoneBMI = body mass indexCBG = cortisol-binding globulinGH = growth hormoneGST = glucagon stimulation testHPA = hypothalamic-pituitary-adrenalSDS = standard deviation scoresFC = serum free cortisolTC = total cortisol     

The Synergy to Enable Glycemic Control Following Emergency Department Discharge Program for Adults with Type 2 Diabetes: Step-Diabetes

Objective: To evaluate a diabetes (DM) care delivery model among hyperglycemic adults with type 2 DM being discharged from the emergency department (ED) to home. The primary hypothesis was that a focused education and medication management intervention would lead to a greater short-term improvement in glycemic control compared to controls.Methods: A 4-week, randomized controlled trial provided antihyperglycemic medications management using an evidence-based algorithm plus survival skills diabetes self-management education (DSME) for ED patients with blood glucose (BG) levels ≥200 mg/dL. The intervention was delivered by endocrinologist-supervised certified diabetes educators. Controls received usual ED care.Results: Among 101 participants (96% Black, 54% female, 62.3% Medicaid and/or Medicare insurance), 77% completed the week 4 visit. Glycated hemoglobin A1C (A1C) went from 11.8 ± 2.4 to 10.5 ± 1.9% (P<.001) and 11.5 ± 2.0 to 11.1 ± 2.1% in the intervention and control groups, respectively (P = .012). At 4 weeks, the difference in A1C reduction between groups was 0.9% (P = .01). Mean BG decreased for both groups (P<.001), with a higher percentage of intervention patients (65%) reaching a BG <180 mg/dL compared to 29% of controls (P = .002). Hypoglycemia rates did not differ by group, and no severe hypoglycemia was reported. Medication adherence (Modified Morisky Score©) improved from low to medium (P<.001) among intervention patients and did not improve among controls.Conclusions: This study provides evidence that a focused diabetes care delivery intervention can be initiated in the ED among adults with type 2 diabetes and hyperglycemia and safely and effectively completed in the ambulatory setting. Improvement in short-term glycemic outcomes and medication adherence were observed.Abbreviations: A1C = glycated hemoglobin A1C BG = blood glucose BMI = body mass index CDE = certified diabetes educator CI = confidence interval DM = diabetes mellitus DSME = diabetes self-management education ED = emergency departmentMMAS-8 = Modified Morisky Medication Scale PCP = primary care provider POC = point of care SQ = subcutaneous     

Clinical Characteristics and Sequelae of Severe Hypertriglyceridemia in Pediatrics

Objective: Severe hypertriglyceridemia (HTG) (i.e., plasma triglycerides [TGs] >1,000 mg/dL) in children is a rare but pernicious and understudied condition. Our objective was to evaluate the etiology, characteristics, and sequelae of severe pediatric HTG.Methods: This was a retrospective electronic medical record review of pediatric patients with severe HTG at a tertiary referral Children's hospital over a 17-year period.Results: There were a total of 124 patients with severe HTG. The etiology varied: hemato-oncologic (n = 48), diabetes and insulin resistance–related (n = 46), total parenteral nutrition (TPN)-related (n = 6), renal (n = 12), and miscellaneous (n = 12). There was considerable variability in the number of days for the plasma TGs to decrease to <1,000 mg/dL (147.7 ± 567.3 days) and to further decrease to <500 mg/dL (136.84 ± 230.9 days). Patients with diabetes required the longest time to improve their plasma TGs (165.8 ± 305.7 days) compared to other groups. There were 11 cases of pancreatitis, comorbid with diabetes (n = 5), hemato-oncologic conditions (n = 3), and TPN (n = 3). Sixty-seven patients (54%) had persistent HTG.Conclusion: Severe HTG in pediatrics is commonly due to secondary causes. Patients with diabetes tend to have a longer course of dyslipidemia. A substantial number of patients had persistent dyslipidemia, indicating underlying genetic susceptibility to HTG that is phenotypically expressed consequent to a secondary metabolic insult.Abbreviations: DKA = diabetic ketoacidosis; EMR = electronic medical record; GSD = glycogen storage disorder; HbA1c = hemoglobin A1c; HIV = human immunodeficiency virus; HTG = hypertriglyceridemia; ICD-9 = International Classification of Diseases–Ninth Revision; IV = intravenous; LCHAD = long-chain 3-hydroxyacyl coenzyme A dehydrogenase deficiency; LPL = lipoprotein lipase; NPO = nothing by mouth; PCOS = polycystic ovary syndrome; T1DM = type 1 diabetes mellitus; T2DM = type 2 diabetes mellitus; TG = triglyceride; TPN = total parenteral nutrition; VLDL = very-low-density lipoprotein     

Diabetes Status and Race are Associated With Cardiovascular Risk Markers in Obese Adolescents

ObjectiveThe objective of this study was to evaluate differences in cardiovascular disease (CVD) risk markers in obese adolescents based on diabetes status and race in order to improve risk-reduction intervention strategies.MethodsThis was a retrospective, cross-sectional study of obese adolescents, age 10 to 21 years, who were evaluated at Children’s of Alabama between 2000 and 2012. Subjects were classified by glycated hemoglobin (HbA_1c) as having normoglycemia, prediabetes, or type 2 diabetes mellitus (T2DM).ResultsThere were a total of 491 African American (AA) or Caucasian American (CA) subjects. Body mass index was not different between HbA_1c and racial groups. Compared to subjects with normoglycemia or prediabetes, subjects with T2DM had higher levels of total cholesterol (TC) (178.6 ± 43.8 mg/dL vs. 161.5 ± 32.5 mg/dL vs. 162.4 ± 30.6 mg/dL; P < .0001) and low-density-lipoprotein cholesterol (107.4 ± 39.2 mg/dL vs. 97.0 ± 31.0 mg/dL vs. 97.5 ± 26.9 mg/dL; P = .0073). Compared with AA subjects, CA subjects had lower high-density-lipoprotein cholesterol (HDL-C) levels (40.4 ± 10.4 mg/dL vs. 44.3 ± 11.9 mg/dL; P = .0005) and higher non-HDL-C levels (129.6 ± 36.2 mg/dL vs. 122.5 ± 37.5 mg/dL; P = .0490). Of the characteristics studied, HbA_1c had the most significant positive association with dyslipidemia and was strongly correlated with both TC (β, 4.21; P < .0001) and non-HDL-C (β, 4.3; P < .0001).ConclusionObese adolescents with T2DM have more abnormal lipoprotein profiles than those with normoglycemia or prediabetes. Obese CA adolescents have more abnormal lipids than obese AA adolescents. HbA_1c was the characteristic most highly associated with abnormal lipoprotein profiles in our subjects. Our results show that CVD risk markers in obese adolescents vary by race and HbA_1c concentration. (Endocr Pract. 2015;21:165-173)     

Daily Inpatient Glycemic Survey (DINGS): A Process to Remotely Identify and Assist in the Management of Hospitalized Patients with Diabetes and Hyperglycemia

Objective: Hyperglycemia, hypoglycemia, and glycemic variability have been associated with increased morbidity, mortality, and overall costs of care in hospitalized patients. At the Stratton VA Medical Center in Albany, New York, a process aimed to improve inpatient glycemic control by remotely assisting primary care teams in the management of hyperglycemia and diabetes was designed.Methods: An electronic query comprised of hospitalized patients with glucose values <70 mg/dL or >350 mg/dL is generated daily. Electronic medical records (EMRs) are individually reviewed by diabetes specialist providers, and management recommendations are sent to primary care teams when applicable. Glucose data was retrospectively examined before and after the establishment of the daily inpatient glycemic survey (DINGS) process, and rates of hyperglycemia and hypoglycemia were compared.Results: Patient-day mean glucose slightly but significantly decreased from 177.6 ± 64.4 to 173.2 ± 59.4 mg/dL (P<.001). The percentage of patient-days with any value >350 mg/dL also decreased from 9.69 to 7.36% (P<.001), while the percentage of patient-days with mean glucose values in the range of 90 to 180 mg/dL increased from 58.1 to 61.4% (P<.001). Glycemic variability, assessed by the SD of glucose, significantly decreased from 53.9 to 49.8 mg/dL (P<.001). Moreover, rates of hypoglycemia (<70 mg/dL) decreased significantly by 41% (P<.001).Conclusion: Quality metrics of inpatient glycemic control improved significantly after the establishment of the DINGS process within our facility. Prospective controlled studies are needed to confirm a causal association.Abbreviations: DINGS = daily inpatient glycemic survey EMR = electronic medical record HbA1c = glycated hemoglobin ICU = intensive care unit VA = Veterans Affairs     

Identifying Prediabetes Using Fasting Insulin Levels

ObjectiveTo determine whether patients with prediabetes can be accurately and easily identified in clinical settings using a predictive clinical and laboratory model.MethodsThis retrospective study examined demographic and laboratory data from patients who had undergone 2-hour glucose testing for suspected prediabetes or diabetes between 2000 and 2004. Patients who met the diagnostic criteria for diabetes mellitus were excluded. Prediabetes was defined as a fasting glucose concentration ≥ 100 mg/dL and ≤ 125 mg/dL or a 2-hour postprandial glucose concentration ≥ 140 mg/dL and < 200 mg/dL. Multivariate logistic regression was conducted to identify calculated or measured clinical and laboratory attributes that predict the presence of prediabetes, including fasting insulin quartiles, homeostasis model assessment of insulin resistance (HOMA-IR), and quantitative insulin sensitivity check index.ResultsOf 965 patients, 287 (29.7%) had prediabetes. The study population primarily consisted of white, obese, female patients. A multivariate model revealed that compared with the referent lowest quartile of fasting insulin (m = 4.9 [± SD] ± 1.2 mIU/mL), subsequent insulin quartiles increased the likelihood of identifying prediabetes (quartile 2: m = 8.0 ± 0.8 mIU/mL, odds ratio [OR] = 2.076, confidence interval [CI] = 1.241-3.273; quartile 3: m = 12.2 ± 1.7 mIU/mL, OR = 3.151, CI = 1.981-5.015; quartile 4: m = 25.9 ± 12.4 mIU/mL, OR = 5.035, CI = 3.122-8.122). Older age and increased diastolic blood pressure also contributed modestly to this model. Further analysis using the area under the curve revealed that at a fasting insulin level > 9.0 mIU/mL, prediabetes would be correctly identified in 80% of affected patients. A second model revealed that increased HOMA-IR index (OR = 1.303, CI = 1.205-1.410) and older age (OR = 1.037, CI = 1.024-1.05) predicted prediabetes.ConclusionsThe most robust model, which used fasting insulin levels, may provide the most utility as a clinical tool because the highest quartiles suggest significantly greater likelihood of identifying prediabetes. (Endocr Pract. 2010;16:47-52)     

A Comparison of Twice-Daily Biphasic Insulin Aspart 70/30 and Once-Daily Insulin Glargine in Persons With Type 2 Diabetes Mellitus Inadequately Controlled on Basal Insulin and Oral Therapy: A Randomized,Open-Label Study

ObjectiveTo compare efficacy and safety of biphasic insulin aspart 70/30 (BIAsp 30) with insulin (glargine) in type 2 diabetic patients who were not maintaining glycemic control on basal insulin and oral antidiabetic drugs.MethodsIn a 24-week, open-label, parallel-group trial, type 2 diabetic patients who were not maintaining glycemic control on basal insulin (glargine or neutral protamine Hagedorn) + oral antidiabetic drugs were randomly assigned to twice-daily BIAsp 30 + metformin or oncedaily glargine + metformin + secretagogues (secretagogues were discontinued in the BIAsp 30 arm).ResultsOne hundred thirty-seven patients were randomly assigned to the BIAsp 30 group and 143 patients were randomly assigned to the glargine group. Of 280 patients randomized, 229 (81.8%) completed the study. End-of-trial hemoglobin A_1c reductions were − 1.3% (BIAsp 30) vs − 1.2% (glargine) (treatment difference: 95% confidence interval, − 0.06 [− 0.32 to 0.20]; P = .657). Of patients taking BIAsp 30, 27.3% reached a hemoglobin A_1c level < 7.0% compared with 22.0% of patients taking glargine (treatment difference: P = .388). Glucose increment averaged over 3 meals was lower in the BIAsp 30 arm (treatment difference: − 17.8 mg/dL, P = .001). Fasting plasma glucose reductions from baseline were − 13.8 mg/ dL (BIAsp 30) vs − 42.5 mg/dL (glargine) (P = .0002). Final minor hypoglycemia rate, insulin dose, and weight change were higher in the BIAsp 30 arm (6.5 vs 3.4 events/patient per year, P <.05; 1.19 vs 0.63 U/kg; and 3.1 vs 1.4 kg, P = .0004, respectively).ConclusionsDespite not receiving secretagogues, patients taking BIAsp 30 + metformin achieved similar hemoglobin A_1c levels and lower postprandial plasma glucose compared with those receiving glargine + metformin + secretagogues. The large improvement in the glargine group suggests the patients were not true basal failures at randomization. While switching to BIAsp 30 improves glycemic control in this patient population, remaining on basal insulin and optimizing the dose may be equally effective in the short term. (Endocr Pract. 2011;17:41-50)     

Identifying Risk Factors for Severe Hypoglycemia in Hospitalized Patients with Diabetes

ObjectiveSome of the deleterious effects of hypoglycemia in hospitalized patients include increased rates of mortality and longer length of stay. Our primary objective was to identify the risk factors associated with severe hypoglycemia to identify those patients at highest risk.MethodsThe medical records of 5,026 patients with diabetes mellitus (DM) admitted in 2010 were reviewed to identify those patients that developed severe hypoglycemia (blood glucose [BG] < 40 mg/dL). We performed c2 tests to assess statistical significance. Adjusted logical regression was used to determine the risk factors for hypoglycemia in the hospital.ResultsOut of 5,026 DM patients included in our review, 81 experienced severe hypoglycemia (1.6%). Statistically higher proportions of chronic kidney disease (CKD; 69.1% vs. 46.9%, P < .001), congestive heart failure (CHF; 48.1% vs. 28.5%, P < .001), sepsis (49.4% vs. 12.5%, P < .001), insulin use (45.7% vs. 26.04%, P = .000), type 1 DM (21% vs. 5.1%, P = .000), and cirrhosis (14.8% vs. 7.2%, P = .009) were seen in the severe hypoglycemic group compared to the nonsevere hypoglycemic group. Overall, 84% of patients who experienced an episode of severe hypoglycemia in the hospital (BG < 40 mg/dL) had a previous episode of hypoglycemia (BG < 70 mg/dL). The odds ratios (ORs) for type 1 DM, sepsis, previous hypoglycemia, and insulin use were 3.43 (95% confidence interval [CI] 1.81, 6.49), 2.64 (95% CI 1.6, 4.35), 46.1 (95% CI 24.76, 85.74), and 1.66 (95% CI 1.02, 2.69), respectively.ConclusionPrior episodes of hypoglycemia in the hospital, the presence of type 1 DM, insulin use, and sepsis were identified as independent risk factors for the development of severe hypoglycemia in the hospital. (Endocr Pract. 2014;20:1051-1056)