Improvement in Pancreatic β-Cell Function with Vitamin D and Calcium Supplementation in Vitamin D-Deficient Nondiabetic Subjects

ObjectiveThere are varied reports on the effect of vitamin D supplementation on β-cell function and plasma glucose levels. The objective of this study was to examine the effect of vitamin D and calcium supplementation on β-cell function and plasma glucose levels in subjects with vitamin D deficiency.MethodsNondiabetic subjects (N = 48) were screened for their serum 25-hydroxyvitamin D (25-OHD), albumin, creatinine, calcium, phosphorus, alkaline phosphatase, and intact parathyroid hormone (PTH) status. Subjects with 25-OHD deficiency underwent a 2-hour oral glucose tolerance test. Cholecalciferol (9,570 international units [IU]/day; tolerable upper intake level, 10,000 IU/day; according to the Endocrine Society guidelines for vitamin D supplementation) and calcium (1 g/day) were supplemented.ResultsThirty-seven patients with 25-OHD deficiency participated in the study. The baseline and postvitamin D/calcium supplementation and the difference (corrected) were: serum calcium, 9 ± 0.33 and 8.33 ± 1.09 mg/dL (− 0.66 ± 1.11 mg/dL); 25-OHD, 8.75 ± 4.75 and 36.83 ± 18.68 ng/mL (28.00 ± 18.33 ng/mL); PTH, 57.9 ± 29.3 and 36.33 ± 22.48 pg/mL (− 20.25 ± 22.45 pg/mL); fasting plasma glucose, 78.23 ± 7.60 and 73.47 ± 9.82 mg/dL (− 4.88 ± 10.65 mg/dL); and homeostasis model assessment-2–percent β-cell function C-peptide secretion (HOMA-2–%B C-PEP), 183.17 ± 88.74 and 194.67 ± 54.71 (11.38 ± 94.27). Significant differences were observed between baseline and post-vitamin D/calcium supplementation serum levels of corrected calcium (Z, − 3.751; P < .0001), 25-OHD (Z, − 4.9; P < .0001), intact PTH (Z, − 4.04; P < .0001), fasting plasma glucose (Z, − 2.7; P < .007), and HOMA-2–%B C-PEP (Z, − 1.923; P < .05) as determined by Wilcoxon signed rank test. Insulin resistance as measured by HOMA was unchanged.ConclusionOptimizing serum 25-OHD concentrations and supplementation with calcium improves fasting plasma glucose levels and β-cell secretory reserve. Larger randomized control studies are needed to determine if correction of 25-OHD deficiency will improve insulin secretion and prevent abnormalities of glucose homeostasis. (Endocr Pract. 2014;20:129-138)     

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)     

Clinical Profile of Nonalcoholic Fatty Liver Disease Among Young Patients With Type 1 Diabetes Mellitus Seen at a Diabetes Speciality Center in India

ObjectiveTo estimate the prevalence and clinical profile of nonalcoholic fatty liver disease (NAFLD) among young type 1 diabetes mellitus (T1DM) patients at a tertiary care diabetes center in India.MethodsElectronic medical records of T1DM patients (age at first diagnosis of T1DM ≤ 25 years) registered between January 1992 and May 2013 who had undergone ultrasonography and denied history of any alcohol intake (n = 736) were reviewed. NAFLD was diagnosed if there was any degree of fatty liver. Retinopathy was initially assessed by direct and indirect ophthalmoscopy and later by retinal photography. Nephropathy was diagnosed if urine protein excretion was > 500 mg/day, and neuropathy was diagnosed if a patient’s vibration perception threshold on biothesiometry was ≥ 20 V.ResultsA total of 204/736 (27.7%) T1DM patients had NAFLD. Compared to T1DM subjects without NAFLD those with NAFLD had higher body mass index (BMI) (18.9 ± 4.2 vs. 20.2 ± 4.7 kg/m², P < .001), waist circumference (67.9 ± 13.2 vs. 71.9 ± 13.3 cm, P < .05), systolic blood pressure (110 ± 15 vs. 116 ± 18 mm Hg, P < .001) and diastolic blood pressure (72 ± 9 vs. 74 ± 10 mm Hg, P < .05), while fasting blood glucose (201 ± 101 vs. 183 ± 101 mg/dL, P < .05) and alkaline phosphatase (419 [12.5] vs. 315 [15.8], P < .001) levels were lower in patients with T1DM with NAFLD. Multiple logistic regression analysis showed a significant association between NAFLD and retinopathy (odds ratio [OR]: 2.01, 95% confidence interval [CI]: 1.13-3.43; P = .017, after adjusting for sex, duration of diabetes, overweight/obesity, hypertension, fasting plasma glucose, nephropathy, and nephropathy (OR: 1.89, 95% CI: 1.02-3.50; P = .042), after adjusting for sex and fasting plasma glucose.ConclusionsThis study suggests that NAFLD is also seen among T1DM patients and that it has an independent and significant association with retinopathy and nephropathy. (Endocr Pract. 2014;20:1249-1257)     

Reduction of Insulin Resistance and Plasma Glucose Level by Salsalate Treatment in Persons With Prediabetes

ObjectiveTo evaluate the effect of salsalate as an antiinflammatory agent on insulin resistance and glycemic control in persons with prediabetes.MethodsIn this double-blind, placebo-controlled clinical trial, 66 persons who had prediabetes on the basis of the American Diabetes Association criteria were enrolled. They were randomly assigned to receive salsalate (3 g daily) or placebo for 12 weeks. Fasting plasma glucose (FPG) and insulin, glucose 2 hours after oral administration of 75 g of glucose, hemoglobin A_1c, lipid profile, homeo stasis model assessment of insulin resistance (HOMA-IR), and homeostasis model assessment of beta-cell function were determined before and after treatment.ResultsSalsalate treatment reduced the FPG level from 5.86 ± 0.07 mmol/L to 5.20 ± 0.11 mmol/L and HOMA-IR from 4.2 ± 0.9 to 3.8 ± 0.3 (P = .01 for both changes). Homeostasis model assessment of beta-cell func tion increased in the salsalate-treatment group from 139.8 ± 11.0 to 189.4 ± 24.6 (P = .01). At the end of the study, FPG, HOMA-IR, and insulin levels were significantly different between salsalate and placebo groups (5.20 ± 0.11 mmol/L versus 5.53 ± 0.10 mmol/L, 3.8 ± 0.3 versus 4.4 ± 0.9, and 16.1 ± 1.9 μIU/mL versus 18.2 ± 2 μIU/mL, respectively; P < .05 for all). There were no persistent complications after salsalate therapy.ConclusionTreatment with salsalate can reduce insu lin resistance and the FPG level in subjects with predia betes. Determination of the long-term safety and efficacy of the use of salsalate necessitates further investigation. (Endocr Pract. 2012;18:826-833)     

Prevalencia de alteraciones del metabolismo hidrocarbonado en una población infanto-juvenil con obesidad grave

IntroductionThere is currently a disproportionate increase in childhood and adolescent obesity worldwide, together with other disorders involving substantial cardiometabolic risk in adulthood, such as alterations in carbohydrate metabolism.ObjectiveTo establish the prevalence of prediabetes, defined as impaired fasting glucose (IFG) and/or impaired glucose tolerance (IGT) after an oral glucose tolerance test, and the prevalence of type 2 diabetes mellitus (DM-2) in a pediatric population with severe obesity. Additionally, we aimed to assess clinical metabolic differences between prediabetic obese patients and obese subjects without prediabetes.Material and methodsA cross-sectional study was carried out in children and adolescents with severe obesity (>97th percentile). The variables studied were age, sex, height, weight, body mass index, waist circumference, fasting plasma glucose and oral glucose tolerance test, insulinemia, insulin resistance assessed by the homeostasis model assessment (HOMA) index, glycated hemoglobin (HbA_1c), triglycerides, high-density lipoprotein cholesterol (HDL), and systolic and diastolic blood pressure.ResultsA total of 133 patients were included: 67 boys (50.4%) and 66 girls (49.6%), with a mean age of 12.17±3.27 years. Fourteen patients (10.52%) had prediabetes (10 IFG, 3 IGT, 1 IFG+IGT): 7 girls and 8 boys, with a mean age of 13.2±3.3 years. One patient had DM2 (0.75%). Patients with prediabetes had significantly higher concentrations of fasting glucose (98±10.76 vs 88.53±6.3 mg/d; p=0.001), insulinemia (35.38±14.22 vs 22.95±14.30 μU/ml; p=0.009) and HOMA index (8.10±3.24 vs 4.89±3.27; p=0.004) than patients without impaired carbohydrate metabolism. These patients also had higher values of HbA_1c, triglycerides, blood pressure and HDL concentrations, although differences were not statistically significant.ConclusionsThe prevalence of prediabetes (IFG/IGT) in children with severe obesity was high (10.52%). These patients should therefore be investigated to establish early diagnosis and appropriate treatment. Obese patients with prediabetes have significantly higher levels of insulin and insulin resistance than individuals without impaired carbohydrate metabolism.     

Colesevelam Hydrochloride to Treat Hypercholesterolemia and Improve Glycemia in Prediabetes: A Randomized,Prospective Study

ObjectiveTo assess the effect of the bile acid sequestrant colesevelam hydrochloride in patients with hypercholesterolemia and prediabetes.MethodsIn this 16-week, randomized, double-blind study, adults with untreated prediabetes (2-hour postoral glucose tolerance test [OGTT] glucose ≥ 140 to 199 mg/dL, fasting plasma glucose [FPG] ≥ 110 to 125 mg/ dL, or both), low-density lipoprotein cholesterol (LDL-C) ≥ 100 mg/dL, and triglycerides < 500 mg/dL were randomly assigned to receive colesevelam (3.75 g/d) or placebo. The primary end point was percent change in LDL-C from baseline to week 16 with last observation carried forward. Secondary end points included change in FPG, hemoglobin A1c (A1C), and 2-hour post-OGTT glucose level from baseline to week 16 and attainment of LDL-C and FPG targets.ResultsIn total, 216 patients were randomized (colesevelam, 108; placebo, 108). In comparison with placebo, colesevelam significantly reduced LDL-C (mean treatment difference, -15.6%), non-high-density lipoprotein cholesterol (-9.1%), total cholesterol (-7.2%), apolipoprotein B (-8.1%) (P < .001 for all the foregoing), FPG (median, -2.0 mg/dL; P = .02), and A1C (mean, -0.10%; P = .02). Colesevelam did not significantly change 2-hour post-OGTT glucose (-1.9 mg/dL; P = .75) or high-density lipoprotein cholesterol (-0.5%; P = .80). In addition, colesevelam significantly increased triglyceride levels relative to placebo (median, 14.3%; P < .001). The proportion of patients achieving target levels with colesevelam versus placebo, respectively, was as follows: LDL-C < 100 mg/dL (29% versus 11%; P < .001), A1C < 6.0% (37% versus 25%; P = .05), FPG < 110 mg/dL (48% versus 56%; P = .97), and normalization of glucose (FPG < 100 mg/dL [40% versus 23%; P = .06]). Colesevelam had a weight-neutral effect and was well tolerated.ConclusionColesevelam is an option for managing the lipid profile and normalizing glucose levels in patients with hypercholesterolemia and prediabetes. Further study is warranted to determine whether colesevelam slows or prevents progression of prediabetes to type 2 diabetes. (Endocr Pract. 2010;16:617-628)     

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

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

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     

Hospital Insulin Protocol Aims For Glucose Control In Glucocorticoid-Induced Hyperglycemia

Objective: To compare the effectiveness of 2 insulin protocols to treat glucocorticoid-induced hyperglycemia in the nonintensive care hospital setting.Methods: A randomized, open-label, parallel-arm study was conducted comparing standard recommended care of complete insulin orders (CIO) (i.e., 3-part insulin regimen of long-acting basal [background], rapid-acting bolus [mealtime], and rapid-acting correction factor) to an experimental group following a regimen of Neutral Protamine Hagedorn (NPH) plus CIO (NPH-CIO). The primary outcome was mean blood glucose (BG), and the secondary outcome was percent of BG in target range of 70 to 180 mg/dL. Hypoglycemia was also evaluated.Results: Sixty-one patients completed 2 to 5 consecutive inpatient days (31 CIO; 30 NPH-CIO). Baseline mean BG results were 237.2 ± 50.2 and 221.9 ± 35.8 mg/dL (P = .30) in the CIO and NPH-CIO groups, respectively. No significant difference in overall mean BG between the 2 groups was detected; however, a significant difference arose on day 3: mean BG 181.8 ± 32.6 mg/dL (CIO) versus 157.2 ± 6.1 mg/dL (NPH-CIO) (P = .03). Moreover, the total daily doses (TDDs) of insulin did not differ: 34.8 ± 43.0 units (CIO) versus 35.8 ± 25.0 units (NPH-CIO) (P = .13). Percent of BG in target was 54.6% (CIO) and 62% (NPH-CIO) (P = .24). Incidence of severe hypoglycemia (<50 mg/dL) was the same in both groups (0.1%).Conclusion: NPH added to 3-part insulin regimen (CIO) may be an effective way to a combat glucocorticoid-induced hyperglycemia, though further research is needed in a larger population.Abbreviations:A1C = hemoglobin A1CBG = blood glucoseCIO = complete insulin ordersDM = diabetes mellitusNPH = neutral protamine HagedornNPH-CIO = neutral protamine Hagedorn plus CIOTDD = total daily dose     

Factores de riesgo de mortalidad en pacientes mayores de 65 años hospitalizados por COVID-19

Background and objectiveCOVID-19 is a disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and has caused a global pandemic that we are currently suffering from.Objectiveto identify factors associated with the death of patients aged 65 years or older hospitalized for COVID-19.Materials and methodsRetrospective cohort study. We included patients aged 65 years or older who were hospitalized for COVID-19 and dead o discharged between March 5 and 25, 2020. We used univariable and multivariable logistic regression methods to explore the risk factors associated with in-hospital death.Results277 patients were included in this study. The bivariate analysis showed significant differences (p < 0.05) between survivors and non survivors: age, increased dependence and comorbidity, history of ischemic heart disease, renal failure and non-hematological neoplasms, heart failure during admission, leukocytosis, elevated creatinine, PCR, GOT and troponin Ic values, lymphopenia, and decreased blood pH and SatO2. Multivariate logistic regression revealed that age ≥ 65 years (OR: 4.23 (95% CI: 1.43-12.52; p = 0.009), lymphopenia < 1000/μL (OR: 2.36 (95% CI: 1.07-5.20; p = 0.033), creatinine > 1.2 mg/dL (OR: 3.08 (95% CI: 1.37-6.92; p = 0.006), SatO₂ < 90% (OR: 2.29 (95% CI: 1.01-5.21; p = 0.049) and troponin Ic > 11 ng/mL (OR: 2.32 (95% CI: 1.04-5.16; p = 0.040) were independently associated with higher hospital mortality.ConclusionsOlder age, lymphopenia, SatO₂ < 90%, elevated creatinine and troponin Ic values were independently associated with higher mortality in hospitalized patients with COVID-19, these factors could help clinicians to identify patients with poor prognosis.     

Alteraciones del metabolismo glucídico en el estudio de control de factores de riesgo de Extremadura (estudio COFRE)

AimsTo assess the prevalence and control of glucose metabolism disorders in a population of Extremadura (Spain) with at least one cardiovascular risk factor and to compare the characteristics of these patients with those who were normoglycemic in the risk factor control in Extremadura (COFRE study).Patients and methodsThe prevalence and control of cardiovascular risk factors were recorded in a sample of 1,022 patients with at least one cardiovascular risk factor consecutively visiting a primary care office. Of these, 951 patients were included in the analysis. In all patients, fasting glycemia was recorded. Glycated hemoglobin was recorded in diabetic patients.ResultsA total of 320 patients (33.6%) were previously known to be diabetic (DM) and 84 (8.8%) had glycemia ≥126 mg/dl without a previous diagnosis of diabetes (12 with glycemia above 200 mg/dl). Impaired fasting glycemia (IFG) was found in 211 (22.2%) and normoglycemia (NG) in 336 (35.3%). Within the DM group, glycemia <126 mg/dl was found in only 31.4% but glycated hemoglobin lower than 7% was found in 46.8%. Triglyceride concentrations were higher in the IFG group than in the NG group (137±65 mg/dL vs 124±65 mg/dL, p=0,041). Pulse pressure was also higher, but no differences were found in diastolic blood pressure (DBP) or heart rate. Differences in systolic blood pressure (SBP) were at the limit of significance (DM 139.5±17 vs NG 136.5±16 mmHg; p=0.056). No significant differences were found in any of these parameters between the DM and IFG groups.ConclusionsThe prevalence of glucose metabolism disorders was very high in the recruited sample. Patients with IFG showed higher pulse pressure and triglyceride concentrations than those with NG but there were no differences in comparison with DM patients. Diabetic control was poor when assessed by fasting glycemia but glycated hemoglobin showed better control.     

Elevated Fructosamine Levelsin Acquired Immunodeficiency Syndrome

ObjectiveTo investigate whether the mechanism of increased glycation in acquired immunodeficiency syndrome (AIDS) is due to an alteration in a circulatory plasma enhancer.MethodsWe assessed glycation of serum protein and hemoglobin in patients with AIDS without altered carbohydrate metabolism. Fasting concentrations of glucose, ethanol, vitamin E, fructosamine, hemoglobin, hemoglobin A1c (A1C), and partial pressure of alveolar oxygen (Pao₂) were determined in 50 men with AIDS and in 25 age-matched healthy men in whom normal glucose tolerance was established by oral glucose tolerance tests.ResultsFasting serum glucose was not significantly different between the men with AIDS (87 ± 4 mg/dL) and the healthy male volunteers (84 ± 6 mg/dL); however, A1C (6.9 ± 0.2%) and serum fructosamine levels (288 ± 15 μmol/L) were significantly higher (P < .01) in the patients with AIDS than in the normal subjects (A1C, 5.6 ± 0.1%; fructosamine, 204 ± 14 μmol/L). Moreover, both A1C and fructosamine concentrations were significantly higher (P < .01) in the patients with AIDS than in the normal subjects divided into subgroups on the basis of fasting plasma glucose concentrations (70 to 79 mg/dL, 80 to 89 mg/dL, and 90 to 99 mg/dL). None of the study participants had anemia (hemoglobin < 12 g/dL) or hypoxia (Pao₂ < 95 mm Hg), and serum ethanol was undetectable. Furthermore, vitamin E concentrations were not significantly different between the patients with AIDS (25 ± 3 mg/L) and the normal subjects (22 ± 4 mg/L).ConclusionOn the basis of this study, glycation of some circulating proteins appears to be enhanced in AIDS and may be induced by an undetermined plasma enhancer, inasmuch as known circulating factors promoting glycation were absent. (Endocr Pract. 2008;14:686-690)     

Characterizing Glucose Changes Antecedent to Hypoglycemic Events in the Intensive Care Unit

ObjectiveTo determine whether patterns of glucose changes before hypoglycemia vary according to the severity of the event.MethodsIn this retrospective analysis, point-ofcare blood glucose (POC-BG) data were obtained from the intensive care units (ICUs) of a convenience sample of hospitals that responded to a survey on inpatient diabetes management quality improvement initiatives. To evaluate POC-BG levels before hypoglycemic events, data from patients who experienced hypoglycemia during their time in the ICU were examined, and their glucose changes were assessed against a comparison group of patients who achieved a glycemic range of 80 to 110 mg/dL without ever experiencing hypoglycemia. Absolute glucose decrease, glucose rate of change, and glucose variability before hypoglycemic events (< 40, 40-49, 50-59, and 60-69 mg/ dL) were calculated.ResultsA total of 128 419 POC-BG measurements from 2942 patients in 89 ICUs were analyzed. Patients who experienced the most severe hypoglycemic episodes had the largest absolute drop in their glucose levels before the event (P < .001). The glucose rate of change before a hypoglycemic event increased with worsening hypoglycemia: mean (± standard deviation) glucose rate of change was-1.69 (± 2.98) mg/dL per min before an episode with glucose values less than 40 mg/dL, -0.56 (± 2.65) mg/dL per min before an episode with glucose values 60 to 69 mg/dL, but only -0.39 (± 0.70) for patients who attained a glucose range of 80 to 110 mg/dL without hypoglycemia (P < .001). Glucose variability before an event progressively increased with worsening biochemical hypoglycemia and was least among patients achieving glucose concentrations in the 80 to 110-mg/dL range without hypoglycemia (P < .001).ConclusionsAntecedent glucose change and variability were greater for patients who experienced hypoglycemia. If monitored, these patterns could potentially alert clinicians and help them take preventive measures. Further examination of how these parameters interact with other predisposing risk factors for hypoglycemia is warranted. (Endocr Pract. 2012;18:317-324)     

Postprandial Dynamics of Plasma Glucose,Insulin, and Glucagon in Patients with Type 2 Diabetes Treated with Saxagliptin Plus Dapagliflozin Add-On to Metformin Therapy

ObjectiveTo analyze changes in plasma glucose, insulin, and glucagon in relation to glycemic response during treatment with dual add-on of saxagliptin (SAXA) plus dapagliflozin (DAPA) to metformin XR (MET) compared with SAXA add-on or DAPA add-on alone to MET in patients with type 2 diabetes mellitus (T2DM) poorly controlled with MET.MethodsDouble-blind trial in adults with glycated hemoglobin (HbAlc) ≥ 8.0 to ≤ 12.0% randomized to SAXA 5 mg/day plus DAPA 10 mg/day (n = 179), or SAXA 5 mg/day and placebo (n = 176), or DAPA 10 mg/day and placebo (n = 179) added to background MET ≥ 1,500 mg/ day. The mean change from baseline in the area under the curve from 0 to 180 minutes (AUC_{0-180 min}) was calculated for glucose, insulin, and glucagon obtained during a liquid meal tolerance test (MTT).ResultsGlucose AUC_{0-180 min} an was reduced more from baseline with SAXA + DAPA + MET (-12,940 mg/dL) compared with SAXA + MET (-6,309 mg/dL) and DAPA + MET (-11,247 mg/dL). Insulin AUC_{0-180 min} significantly decreased with SAXA + DAPA + MET (-1,120 μU/mL) and DAPA + MET (-1,019 μU/mL) and increased with SAXA + MET (661 μU/mL). Glucagon AUC_{0-180 min} only increased with DAPA + MET (2,346 pg/mL). The changes in glucose (P < .0001) and insulin (P = .0003) AUC_{0-180 min} correlated with change in HbA1c, whereas the change in glucagon AUC_{0-180 min} min did not (P = .27).ConclusionsWhen added to background MET, the combination of SAXA + DAPA provided additional reductions in glucose AUC_{0-180 min} and HbA1c without the increase in insulin seen with SAXA and without the increase in glucagon seen with DAPA. Changes in insulin and glucose but not glucagon AUC_{0-180 min} correlated with change in HbA1c. (Endocr Pract. 2014;20:1187-1197)     

How well do Self-Monitored Capillary Glucose Measurements Predict the Mean Blood Glucose from 24-hour Continuous Monitoring in Endocrine Practice?

ObjectiveThe mean blood glucose (MBG) level obtained from self-monitored capillary glucose (SMCG) data is a readily available metric of glycemic control for patients and their physicians. However, whether there is agreement between SMCG MBG levels and MBG levels obtained from 24-hour intensive glucose sampling is unclear. Therefore, we analyzed the relationship between MBG levels derived from SMCG data and glucose data derived from continuous glucose monitoring (CGM).MethodsSMCG and CGM were concurrently performed in 104 patients with diabetes and prediabetes over 3 to 6 days. MBG data obtained from SMCG and CGM were compared by standard correlation and Bland-Altman analyses.ResultsSMCG and CGM MBG data from the longest duration of sampling were highly correlated (r = 0.965; P < .001). Single-day MBG estimates from both sources were also highly correlated, with r values ranging from 0.833 to 0.927. A SMCG MBG level of 166.1 ± 55 mg/dL (derived from 14.1 ± 4.6 samples) tended to slightly underestimate the concurrent CGM MBG level of 171.1 ± 56.4 mg/dL (derived from 1,063 ± 283 samples). The SMCG MBG was within 30 mg/dL of the CGM MBG in 94.6% of patients and within 15 mg/dL in 67% of patients. The difference between the estimates tended to increase with increasing SD of the MBG obtained from CGM (r = 0.38; P < .0001).ConclusionMBG estimated from SMCG is a reasonable estimate of a patient’s CGM MBG over the same period of time and with caveats could be used as a practical guide for long-term glycemic control that can be considered in tandem with the patient’s hemoglobin A_1c in endocrine practice. (Endocr Pract. 2014;20:650-656)     

Advanced Bone Age and Hyperinsulinemia in Overweight and Obese Children

ObjectiveIn obese children, bone age (BA) tends to significantly exceed chronological age (CA). In vitro studies in mice suggest that insulin may directly modulate skeletal growth. We investigated whether there is an association between fasting insulinand BAmaturationinobesechildren.MethodsThe study cohort comprised 74 overweight and obese children ages 4 to 13 years. BA divided by CA was used as an index for bone advancement. Participants were classified into tertiles based on their BA:CA ratio. Advanced BA maturation was defined as the third tertile, with BA:CA > 1.21. Components of the metabolic syndrome, including fasting insulin, fasting glucose, triglycerides, and high-density lipoprotein (HDL) levels, were measured.ResultsChildren with advanced BA were significantly younger, had a higher body mass index (BMI)-Z score (BMI-Z), and were taller than children with bone advancement in the lower tertiles. Females had a 4.7-fold increased risk for advanced BA compared with males (95% confidence interval [CI], 1.29-17.1; P = .02). Children with a BMI-Z ≥ 1.96 and fasting insulin ≤ 30 μU/L had a 3.6-fold increased risk of advanced BA (95% CI, 1.00-12.8; P = 0.05). Moreover, hyperinsulinemia (fasting insulin > 30 μU/L) was associated with a 6.8-fold increased risk for advanced BA, independent of the degree of obesity (95% CI, 1.45-32.1; P = .01).ConclusionMarked hyperinsulinemia is associated with advanced BA in obese children. Insulin appears to modulate skeletal growth in humans. (Endocr Pract. 2014;20:62-67)     

Successful treatment of prediabetes in clinical practice: targeting insulin resistance and β-cell dysfunction

ObjectiveTo determine the effectiveness of targeted pharmacologic interventions to reverse documented pathophysiologic abnormalities in prediabetes.MethodsPatients with impaired glucose tolerance (IGT) and/or impaired fasting glucose (IFG) were treated with insulin sensitizers (pioglitazone + metformin) or insulin sensitizers + exenatide on the basis of oral glucose tolerance testing-derived indices of insulin resistance and impaired b-cell function. Patients who declined pharmacologic therapy received lifestyle modification only.ResultsOne hundred five patients with IGT and/or IFG were treated with insulin sensitizers (pioglitazone + metformin) (n = 40), insulin sensitizers + exenatide (n = 47), or lifestyle modification only (n = 18). After a mean follow-up period of 8.9 months, the lifestyle modification group demonstrated no significant changes in fasting plasma glucose, plasma glucose area under the curve during oral glucose tolerance testing, insulin sensitivity, or b-cell function. In the pioglitazone + metformin group (24 hours off medication), fasting plasma glucose fell from 109 to 102 mg/dL; plasma glucose area under the curve decreased by 12.0%; insulin sensitivity and b-cell function improved by 42% and 50%, respectively (all P < .001); 14.3% converted to normal glucose tolerance; and no patient developed diabetes. In the pioglitazone + metformin + exenatide group (24 hours off medication), fasting plasma glucose fell from 109 to 98 mg/dL; plasma glucose area under the curve decreased by 21.2%; insulin sensitivity and b-cell function improved by 52% and 109%, respectively (all P < .001); 59.1% of patients with IGT reverted to normal glucose tolerance; and no patient developed diabetes.ConclusionsTargeted pathophysiologic therapy based on oral glucose tolerance test-derived measures of insulin sensitivity and b-cell function can be implemented in general internal medicine and endocrine practice and is associated with marked improvement in glucose tolerance and reversion of prediabetes to normal glucose tolerance in more than 50% of patients. (Endocr Pract. 2012;18: 342-350)     

Effects of Successful Parathyroidectomy on Metabolic Cardiovascular Risk Factors In Patients With Severe Primary Hyperparathyroidism

ObjectiveTo evaluate the effect of parathyroidectomy on metabolic abnormalities associated with cardiovascular disease in patients with primary hyperparathyroidism (PHPT).MethodsThirty-four patients with PHPT (aged 51.0 ± 11.8 years, mean ± standard deviation) underwent assessment before and 1 year after successful parathyroidectomy. A control group of 42 normocalcemic healthy subjects, matched for age and body mass index, was also examined at baseline. We measured serum lipids, glucose, insulin, uric acid, calcium, parathyroid hormone, C-reactive protein, and bone density. Insulin resistance index was evaluated by homeostasis model assessment, and the presence of metabolic syndrome was determined. Because of multiple tests, the level of statistical significance was set at .01.ResultsAfter parathyroidectomy, there was a decrease in diastolic blood pressure (P < .02) and in serum concentrations of uric acid (P < .04) and insulin (P < .009). No difference was observed in rates of metabolic syndrome in patients before and 1 year after parathyroidectomy (23.5% versus 17.6%; P > .46). Insulin resistance index values were also unchanged from before to after parathyroidectomy (1.3 ± 0.9 and 1.1 ± 0.9, respectively; P > .68). A substantial increase in spine bone density (5%; P < .05) was notedpostoperatively. Multivariate logistic regression analysis, after adjustment for age and body mass index, revealed that parathyroidectomy did not lead to a significant decrease in likelihood of cardiovascular risk—odds ratio (OR), 1.82; 95% confidence interval (CI), 0.53 to 6.21 (P > .34) for the metabolic syndrome and OR, 0.82; 95% CI, 0.17 to 3.88 (P > .8) for the insulin resistance index.ConclusionIn this study, surgical treatment had no beneficial effect on cardiovascular risk, as assessed by the metabolic syndrome and insulin resistance markers in patients with PHPT 1 year after parathyroidectomy.(Endocr Pract. 2011;17:584-590)     

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