Colesevelam Hydrochloride Added to Background Metformin Therapy in Patients with Type 2 Diabetes Mellitus: A Pooled Analysis from 3 Clinical Studies

ObjectiveTo evaluate the glucose- and lipid-altering efficacy of colesevelam hydrochloride (HCl) when added to background metformin therapy in patients with inadequately controlled type 2 diabetes mellitus (T2DM).MethodsThis post hoc analysis included patients with T2DM from 3 randomized, double-blind, placebo- controlled pivotal studies who received metformin as part of their background antidiabetes therapy. In the pivotal studies, patients with T2DM were randomly assigned to receive colesevelam HCl (3.75 g/d) or placebo added to existing metformin (26 weeks), sulfonylurea (26 weeks), or insulin (16 weeks) monotherapy or combination therapy, wherein the combination therapies may have included metformin.ResultsIn this pooled analysis of 696 patients with T2DM who were receiving metformin monotherapy or metformin combined with other antidiabetes therapies, 355 were randomly assigned to receive colesevelam HCl and 341 to receive placebo. In comparison with placebo, colesevelam HCl significantly reduced hemoglobin A_1c (A1C) and fasting plasma glucose (mean treatment difference: -0.50% and -15.7 mg/dL, respectively; P < .001 for both), as well as significantly reduced levels of low-density lipoprotein cholesterol (LDL-C; mean treatment difference: -16.5%), total cholesterol (TC; -5.8%), non-high-density lipoprotein cholesterol (non-HDL-C; -8.2%), and apolipoprotein (apo) B (-7.6%) (P < .0001 for all). Median triglyceride levels were increased with colesevelam HCl (median treatment difference: + 12.8%; P < .0001). In comparison with placebo, colesevelam HCl significantly increased apo A-I (mean treatment difference: + 3.3%; P < .0001), whereas the mean increase in HDL-C with colesevelam HCl was not significant. Colesevelam HCl therapy was generally well tolerated.ConclusionWhen added to metformin-including therapy, colesevelam HCl significantly reduced A1C and fasting glucose, as well as levels of LDL-C, TC, non- HDL-C, and apo B in patients with inadequately controlled T2DM. (Endocr Pract. 2011;17:933-938)     

Initial Combination Therapy with Metformin and Colesevelam for Achievement of Glycemic and Lipid Goals Min Early Type 2 Diabetes

ObjectiveTo evaluate the efficacy and safety of initial combination therapy with metformin plus colesevelam in patients with early type 2 diabetes.MethodsIn this 16-week, randomized, double-blind, placebo-controlled study, adults with type 2 diabetes (hemoglobin A1c [A1C] values of 6.5% to 10.0%) and hypercholesterolemia (low-density lipoprotein cholesterol [LDL-C] levels ≥ 100 mg/dL) were randomly assigned (1:1) to colesevelam (3.75 g/d) or placebo in combination with open-label metformin (850 mg/d; uptitrated at week 2 to 1, 700 mg/d). The primary efficacy evaluation was change in A1C from baseline to study end (week 16 with last observation carried forward).ResultsIn total, 286 patients were randomized: metformin/colesevelam (n = 145) or metformin/placebo (n = 141). Mean A1C was reduced by 1.1% with metformin/ colesevelam (from 7.8% at baseline to 6.6% at study end) and by 0.8% with metformin/placebo (from 7.5% to 6.7%), resulting in a treatment difference of -0.3% at study end (P = .0035). In addition, metformin/colesevelam significantly reduced LDL-C (-16.3%), total cholesterol (-6.1%), non-high-density lipoprotein cholesterol (-8.3%), apolipoprotein B (-8.0%), and high-sensitivity C-reactive protein (-17%) and increased apolipoprotein A-I (+ 4.4%) and triglycerides (+ 18.6%) versus metformin/placebo (P < .01 for all). The proportions of patients who achieved recommended goals with metformin/colesevelam versus metformin/placebo, respectively, were as follows: A1C < 7.0% (67% versus 56% [P = .0092]), LDL-C < 100 mg/dL (48% versus 18% [P < .0001]), and composite A1C < 7.0% + LDL-C < 100 mg/dL (40% versus 12% [P < .0001]). Safety and tolerability were similar between the treatment groups.ConclusionMetformin plus colesevelam may be a valid option for initial therapy to achieve glycemic and lipid goals safely in early type 2 diabetes. (Endocr Pract. 2010;16:629-640)     

Effects of Colesevelam,Rosiglitazone, or Sitagliptin on Glycemic Control and Lipid Profile in Patients with Type 2 Diabetes Mellitus Inadequately Controlled by Metformin Monotherapy

ObjectiveTo evaluate the glycemic effect of colesevelam, rosiglitazone, or sitagliptin when added to metformin monotherapy in patients with type 2 diabetes mellitus (DM) and to examine the effects of these antidiabetes agents on lipid and lipoprotein levels.MethodsThis 16-week, open-label pilot study conducted between May 2007 and April 2008 at 20 sites in the United States, 7 sites in Mexico, and 6 sites in Colombia, enrolled adults with inadequately controlled type 2 DM (glycated hemoglobin [HbA_1c], 7.0%-10.0%) on a stable metformin regimen (1500-2550 mg daily for ≥ 3 months). At Week 0, participants were randomly assigned 1:1:1 to open-label colesevelam hydrochloride, 3.75 g daily; openlabel rosiglitazone maleate, 4 mg daily; or open-label sitagliptin phosphate, 100 mg daily, in addition to existing metformin therapy. The primary efficacy variable was the change in HbA_1c from baseline to Week 16 with last (postbaseline) observation carried forward.ResultsIn total, 169 participants were randomly assigned to treatment groups (colesevelam, n = 57; rosiglitazone, n = 56; and sitagliptin, n = 56), and 141 participants (83.4%) completed the study. Least-squares mean reductions in HbA_1c from baseline were observed in all groups at Week 16 last observation carried forward (colesevelam, -0.3% [P <.031]; rosiglitazone: -0.6% [P <.001]; sitagliptin: -0.4% [P <.009]) At study end, 10 of 56 participants (17.9%) in the colesevelam group, 19 of 54 (35.2%) in the rosiglitazone group, and 15 of 55 (27.3%) in the sitagliptin group achieved HbA_1c < 7.0%. Colesevelam significantly reduced mean low-density lipoprotein (LDL)-cholesterol levels relative to baseline (11.6%), whereas levels were significantly increased with rosiglitazone and sitagliptin at Week 16 last observation carried forward (7.8% and 7.7%, respectively). Twenty-two of 52 participants (42.3%) in the colesevelam group, 12 of 51 (23.5%) in the rosiglitazone group, and 13 of 53 (24.5%) in the sitagliptin group achieved LDL cholesterol < 100 mg/dL at Week 16 last observation carried forward.ConclusionAll 3 antidiabetes agents significantly improved glycemic control, but only colesevelam also significantly reduced LDL-cholesterol levels in patients with type 2 DM. (Endocr Pract. 2010;16:53-63)     

Diabetes Duration and the Efficacy and Safety of Insulin Glargine Versus Comparator Treatment in Patients with Type 2 Diabetes Mellitus

ObjectiveTo evaluate the effect of diabetes duration on efficacy and safety in patients with type 2 diabetes mellitus (T2DM) using insulin glargine versus comparator (oral antidiabetic drugs [OADs], dietary changes, or other insulins).MethodsData were pooled from randomized controlled clinical trials conducted in adults with T2DM with at least 24-week treatment with insulin glargine or a comparator, where predefined insulin titration algorithms were utilized to achieve fasting plasma glucose (FPG) concentrations of ≤ 100 mg/dL. Glycated hemoglobin A1C (A1C), FPG, and insulin dose and safety (hypoglycemia) outcomes were analyzed.ResultsNine studies were included in the analysis of 2,930 patients. Patients with shorter duration of diabetes were more likely to have greater reductions in A1C compared with those who had longer-duration disease (P < .0001). Disease duration did not affect change in FPG concentrations (P = .9017), but lower weight-adjusted insulin dose was correlated with longer-duration disease (P < .0001). Patients with longer-duration diabetes had increased risks of symptomatic hypoglycemia, confirmed hypoglycemia (self-monitored blood glucose < 50 mg/dL and < 70 mg/dL), and nocturnal hypoglycemia (all P < .001). No significant relationship was found between severe hypoglycemia and duration of diabetes. However, treatment with insulin glargine lowered A1C values more effectively than comparator treatments with fewer hypoglycemic episodes.ConclusionPatients with shorter-duration T2DM better achieved target A1C levels and had less hypoglycemia than those with longer disease duration. Insulin glargine was associated with reduced A1C and fewer hypoglycemic events than comparators, regardless of disease duration. (Endocr Pract. 2014;20:120-128)     

High Incidence of Impaired Glucose Regulation in Patients With no Known History of Diabetes Mellitus But With Hyperglycemia After Undergoing a Cardiac Surgical Procedure

ObjectiveTo determine the implications of the presence of hyperglycemia after a cardiac surgical procedure in patients with no history of diabetes mellitus (DM).MethodsWe conducted a prospective study of 50 consecutive patients with no known history of DM who underwent a cardiac surgical procedure and had postoperative hyperglycemia (plasma glucose levels ≥ 110 mg/dL), requiring an insulin drip to achieve tight glucose control. These patients underwent a 2-hour oral glucose tolerance test (OGTT) at 6 weeks postoperatively to determine the percentage of subjects with impaired fasting glucose (IFG), impaired glucose tolerance (IGT), or type 2 DM.ResultsOf the 50 patients, 32 (64%) were found to have persistent glucose dysregulation. On the basis of OGTT results, 20% had IFG, 16% had both IFG and IGT, 10% had only IGT, and 18% had type 2 DM. Of the patients with newly diagnosed diabetes, 89% had a 6-week postoperative fasting plasma glucose (FPG) concentration of < 126 mg/dL. There was a significant correlation between the preoperative FPG levels and the 6-week postoperative 2-hour OGTT glucose levels (P < .01). No correlation was found between the 6-week postoperative FPG levels and the 2-hour OGTT glucose levels (P = .26).ConclusionHyperglycemia after a cardiac surgical procedure implies a high risk of persistent glucose dysregulation. Preoperative FPG levels correlated better with 2-hour OGTT results than did the 6-week postoperative FPG values, but both were insensitive markers for diagnosing type 2 DM in these patients. In our cohort, hemoglobin A1c was not predictive of abnormalities of glucose metabolism. Our data support the need for performing a postoperative OGTT in patients with no known history of DM but the presence of hyperglycemia after a cardiac operation. (Endocr Pract. 2009;15:425-430)     

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)     

Overcoming Clinical Inertia in the Management of Postoperative Patients with Diabetes

ObjectiveTo assess the impact of an intervention designed to increase basal-bolus insulin therapy administration in postoperative patients with diabetes mellitus.MethodsEducational sessions and direct support for surgical services were provided by a nurse practitioner (NP). Outcome data from the intervention were compared to data from a historical (control) period. Changes in basalbolus insulin use were assessed according to hyperglycemia severity as defined by the percentage of glucose measurements > 180 mg/dL.ResultsPatient characteristics were comparable for the control and intervention periods (all P ≥ .15). Overall, administration of basal-bolus insulin occurred in 9% (8/93) of control and in 32% (94/293) of intervention cases (P < .01). During the control period, administration of basal-bolus insulin did not increase with more frequent hyperglycemia (P = .22). During the intervention period, administration increased from 8% (8/96) in patients with the fewest number of hyperglycemic measurements to 60% (57/95) in those with the highest frequency of hyperglycemia (P < .01). The mean glucose level was lower during the intervention period compared to the control period (149 mg/dL vs. 163 mg/dL, P < .01). The proportion of glucose values > 180 mg/dL was lower during the intervention period than in the control period (21% vs. 31% of measurements, respectively, P < .01), whereas the hypoglycemia (glucose < 70 mg/dL) frequencies were comparable (P = .21).ConclusionAn intervention to overcome clinical inertia in the management of postoperative patients with diabetes led to greater utilization of basal-bolus insulin therapy and improved glucose control without increasing hypoglycemia. These efforts are ongoing to ensure the delivery of effective inpatient diabetes care by all surgical services. (Endocr Pract. 2014;20:320-328)     

Update on Inpatient Glycemic Control in Hospitals in the United States

ObjectiveTo provide data on glucose control in hospitals in the United States, analyzing measurements from the largest number of facilities to date.MethodsPoint-of-care bedside glucose (POC-BG) test results were extracted from 575 hospitals from January 2009 to December 2009 by using a laboratory information management system. Glycemic control for patients in the intensive care unit (ICU) and non-ICU areas was assessed by calculating patient-day-weighted mean POC-BG values and rates of hypoglycemia and hyperglycemia. The relationship between POC-BG levels and hospital characteristics was determined.ResultsA total of 49,191,313 POC-BG measurements (12,176,299 ICU and 37,015,014 non-ICU values) were obtained from 3,484,795 inpatients (653,359 in the ICU and 2,831,436 in non-ICU areas). The mean POC-BG was 167 mg/dL for ICU patients and 166 mg/dL for nonICU patients. The prevalence of hyperglycemia (> 180 mg/ dL) was 32.2% of patient-days for ICU patients and 32.0% of patient-days for non-ICU patients. The prevalence of hypoglycemia (< 70 mg/dL) was 6.3% of patient-days for ICU patients and 5.7% of patient-days for non-ICU patients. Patient-day-weighted mean POC-BG levels varied on the basis of hospital size (P < .01), type (P < .01), and geographic location (P < .01) for ICU and non-ICU patients, with larger hospitals (≥ 400 beds), academic hospitals, and US hospitals in the West having the lowest mean POC-BG values. The percentage of patient-days in the ICU characterized by hypoglycemia was highest among larger and academic hospitals (P < .05) and least among hospitals in the Northeast (P < .001).ConclusionHyperglycemia is common in hospitals in the United States, and glycemic control may vary on the basis of hospital characteristics. Increased hospital participation in data collection may support a national benchmarking process for the development of optimal practices to manage inpatient hyperglycemia. (Endocr Pract. 2011;17:853-861)     

Comparison of Different Diagnostic Criteria for Gestational Diabetes Mellitus Based on the 75-G Oral Glucose Tolerance Test: A Cohort Study

ObjectiveTo compare the different diagnostic criteria for gestational diabetes mellitus (GDM) proposed by the American Diabetes Association (ADA), World Health Organization (WHO), and Australian Diabetes in Pregnancy Society (ADIPS) in a 75-g, 2-hour oral glucose tolerance test (OGTT) and to investigate their effects on neonatal birth weight.MethodsHealthy pregnant women were enrolled in a cohort study to undergo a 75-g OGTT during 24 to 28 weeks of pregnancy and then followed up to delivery. ADA criteria and recommendations were used for the management of patients.ResultsAmong 670 pregnant women, GDM was diagnosed in 41 (6.1%), 81 (12.1%), and 126 (18.8%) on the basis of ADA, WHO, and ADIPS criteria, respectively. The kappa value was 0.38 (P < .0001) for the agreement between ADA and WHO criteria, 0.41 (P < .0001) for agreement between ADA and ADIPS criteria, and 0.64 (P < .0001) for agreement between WHO and ADIPS criteria. WHO-only “positive” women had significantly lower fasting plasma glucose (87.9 versus 102.2 mg/dL; P < .0001) and 1-hour plasma glucose levels (146.4 versus 200.5 mg/dL; P < .0001) but higher 2-hour plasma glucose levels (150.1 versus 109.1 mg/dL; P < .0001) than women diagnosed with GDM by only ADA criteria. The correlation coefficient between 1-hour glucose level and neonatal birth weight was 0.09 (P < .02). The adjusted odds ratio of macrosomia associated with GDM according to ADA criteria was 1.34 (95% confidence interval, 0.15 to 12).ConclusionThe frequency of occurrence of GDM was 6.1% in a 75-g OGTT based on ADA criteria, and there was fair agreement between ADA and WHO criteria, moderate agreement between ADA and ADIPS criteria, and strong agreement between WHO and ADIPS criteria. A modest correlation was found between the 1-hour serum glucose value and neonatal birth weight. (Endocr Pract. 2008;14:312-317)     

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)     

Benchmarking Glycemic Control In U.S. Hospitals

ObjectiveReport data on glucose control from 635 U.S. hospitals.MethodsPoint-of-care blood glucose (POC-BG) test data from January through December 2012 from 635 facilities were extracted. Glucose control was evaluated using patient-day–weighted mean POC-BG values. We calculated hypoglycemia and hyperglycemia rates, stratified by presence or absence of intensive care unit (ICU) admission, and we evaluated the relationship between glycemic control and hospital characteristics.ResultsIn total, 51,375,764 POC-BG measurements (non-ICU, 39,197,762; ICU, 12,178,002) from 2,612,966 patients (non-ICU, 2,415,209; ICU, 575,084) were analyzed. The mean POC-BG was 167 mg/dL for non-ICU patients and 170 mg/dL for ICU patients. The prevalence of hyperglycemia (defined as glucose value > 180 mg/dL) was 32.3 and 28.2% in non-ICU and ICU patients, respectively. The prevalence of hypoglycemia (defined as glucose value < 70 mg/dL) was 6.1 and 5.6% in non-ICU and ICU patients, respectively. In non-ICU and ICU settings, the patient-day–weighted mean glucose was highest in the smallest hospitals, in rural hospitals, and in hospitals located in the Northeast (all P < .01). For non-ICU patients, we observed a significant difference in the percentage of patient days with hypoglycemia by geographic region only (P < .001). In ICU patients, the prevalence of hypoglycemia varied significantly by hospital type (P < .03) and geographic region (P < .01).ConclusionIn this largest POC-BG data set analysis conducted to date, glycemic control varied according to hospital characteristics. Our findings remain consistent with previous reports. Among other variables, national benchmarking of inpatient glucose data will need to consider differences in hospital characteristics. (Endocr Pract. 2014;20:876-883)     

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)     

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)     

Association of Glycemic Control Parameters with Clinical Outcomes in Chronic Critical Illness

ObjectiveChronic critical illness (CCI) is a term used to designate patients requiring prolonged mechanical ventilation and tracheostomy with associated poor outcomes. The present study assessed the impact of glycemic parameters on outcomes in a CCI population.MethodsA retrospective case series was performed including 148 patients in The Mount Sinai Hospital Respiratory Care Unit (2009-2010). Utilizing a semi-parametric mixture model, trajectories for the daily mean blood glucose (BG), BG range, and hypoglycemia rate over time identified low- (n = 87) and high-risk (n = 61) hyperglycemia groups and low- (n = 90) and high-risk (n = 58) hypoglycemia groups. The cohort was also classified into diabetes (DM, n = 48), stress hyperglycemia (SH, n = 85), and normal glucose (n = 15) groups.ResultsHospital- (28% vs. 13%, P = .0199) and 1-year mortality (66% vs. 46%, P = .0185) rates were significantly greater in the high- versus low-risk hyperglycemia groups, respectively. The hypoglycemia rate (< 70 mg/dL) was lower among ventilator-liberated patients compared to those who failed to liberate (0.092 vs. 0.130, P < .0001). In the SH group, both hospital mortality (high-risk hyperglycemia 48% and low-risk hyperglycemia 15%, P = .0013) and 1-year mortality (high-risk 74% and low-risk 50%, P = .0482) remained significantly different, while no significant difference in the diabetes group was observed. There were lower hypoglycemia rates with SH compared to diabetes (< 70 mg/dL: 0.086 vs. 0.182, P < .0001; < 40 mg/dL: 0.012 vs. 0.022, P = .0118, respectively).ConclusionTighter glycemic control was associated with improved outcomes in CCI patients with SH but not in CCI patients with diabetes. Confirmation of these findings may lead to stratified glycemic control protocols in CCI patients based on the presence or absence of diabetes. (Endocr Pract. 2014;20:884-893)     

Reduced Risk of Hypoglycemia with Insulin Degludec Versus Insulin Glargine in Patients with Type 2 Diabetes Requiring High Doses of Basal Insulin: A Meta-Analysis of 5 Randomized Begin Trials

ObjectiveThis meta-analysis of 5 trials from the Phase 3a insulin degludec (IDeg) clinical trial program evaluated the risk of hypoglycemia in a subset of subjects with type 2 diabetes (T2D) who required high basal insulin doses at the end of the trials.MethodsThis meta-analysis compared glycated hemoglobin (HbA_1c), fasting plasma glucose (FPG), basal insulin dose, body weight, and rates of overall and nocturnal confirmed hypoglycemia in a pooled population of T2D subjects using > 60 U basal insulin at trial completion. Five Phase 3a, open-label, randomized, treat-to-target, confirmatory 26-or 52-week trials with IDeg (n = 2,262) versus insulin glargine (IGlar) (n = 1,110) administered once daily were included. Overall confirmed hypoglycemia was defined as self-measured blood glucose < 56 mg/dL or any episode requiring assistance; nocturnal confirmed hypoglycemia had an onset between 00:01 and 05:59 am.ResultsMore than one-third of IDeg-(35%) and IGlar-(34%) treated T2D subjects required > 60 U of basal insulin daily at the ends of the trial. Patients achieved similar mean HbA_1c values (estimated treatment difference [ETD] IDeg - IGlar: 0.05%, P = .44) while mean FPG values were lower with IDeg than IGlar (ETD: - 5.9 mg/ dL, P = .04) at end-of-trial. There was a 21% lower rate of overall confirmed hypoglycemic episodes for IDeg (estimated rate ratio [RR] IDeg/IGlar: 0.79, P = .02) and a 52% lower rate of nocturnal confirmed hypoglycemic episodes for IDeg (RR: 0.48, P < .01).ConclusionIn this post hoc meta-analysis, more than 30% of subjects with T2D required > 60 U/day of basal insulin at the end of the trials. In these individuals, IDeg achieves similar HbA_1c reduction with significantly less overall and nocturnal confirmed hypoglycemia compared with IGlar. (Endocr Pract. 2014;20:285-292)     

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)     

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)     

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)     

Beneficial effects of oral chromium picolinate supplementation on glycemic control in patients with type 2 diabetes: A randomized clinical study

BackgroundChromium is an essential mineral that contributes to normal glucose function and lipid metabolism. This study evaluated the effect of chromium picolinate (CrPic) supplementation in patients with type 2 diabetes mellitus (T2DM).MethodsA four month controlled, single blind, randomized trial was performed with 71 patients with poorly controlled (hemoglobin A1c [HbA1c] > 7%) T2DM divided into 2 groups: Control (n = 39, using placebo), and supplemented (n = 32, using 600 μg/day CrPic). All patients received nutritional guidance according to the American Diabetes Association (ADA), and kept using prescribed medications. Fasting and postprandial glucose, HbA1c, total cholesterol, high-density lipoprotein (HDL) cholesterol, low-density lipoprotein (LDL) cholesterol, triglycerides and serum ferritin were evaluated.ResultsCrPic supplementation significantly reduced the fasting glucose concentration (−31.0 mg/dL supplemented group; −14.0 mg/dL control group; p < 0.05, post- vs. pre-treatment, in each group) and postprandial glucose concentration (−37.0 mg/dL in the supplemented group; −11.5 mg/dL in the control group; p < 0.05). HbA1c values were also significantly reduced in both groups (p < 0.001, comparing post- vs. pre-treatment groups). Post-treatment HbA1c values in supplemented patients were significantly lower than those of control patients. HbA1c lowering in the supplemented group (−1.90), and in the control group (−1.00), was also significant, comparing pre- and post-treatment values, for each group (p < 0.001 and p < 0.05, respectively). CrPic increased serum chromium concentrations (p < 0.001), when comparing the supplemented group before and after supplementation. No significant difference in lipid profile was observed in the supplemented group; however, total cholesterol, HDL-c and LDL-c were significantly lowered, comparing pre- and post-treatment period, in the control group (p < 0.05).ConclusionsCrPic supplementation had a beneficial effect on glycemic control in patients with poorly controlled T2DM, without affecting the lipid profile. Additional studies are necessary to investigate the effect of long-term CrPic supplementation.     

Colesevelam Hydrochloride Powder for Oral Suspension Versus Cholestyramine Powder for Oral Suspension: Comparison of Acceptability and Tolerability

ObjectiveTo compare tolerability of colesevelam hydrochloride powder versus a cholesterol-lowering equiv- alent dose of generic cholestyramine powder, each mixed in water, by means of the validated Bile Acid Sequestrant Acceptability(BASA) Scale.MethodsWe conducted a randomized, single-blind, single-visit, single-site study, comparing doses of 2 differ- ent bile acid sequestrant powders for oral suspension that produce similar cholesterol lowering: colesevelam hydro- chloride (3.75 g) and generic cholestyramine (12 g), each mixed in a transparent cup with tap water.ResultsThe study sample consisted of 42 partici- pants—12 men and 30 women. The study subjects were non-Hispanic white (64%) or black (36%), with a mean age of 50 years and a mean body mass index of 32.2 kg/m². The components of the BASA Scale included taste, texture, appearance, and mixability. Colesevelam hydrochloride and cholestyramine did not differ significantly when assessed by both the unweighted and the weighted global BASA Scale. Although study participants indicated that the colorless or whitish colesevelam hydrochloride pow- der tasted better (P < .0001), they thought that the orange- colored cholestyramine had a more appealing appearance (P < .0001). Regarding the potential for taking the drug “for the rest of your life, ” 71.4% of study participants rated taste as “very important, ” and 11.9% rated appearance as “very important.”ConclusionAlthough study participants thought that the orange-colored generic cholestyramine powder had a better appearance, they also reported that colesevelam hydrochloride for oral suspension tasted better. A minority of study participants thought appearance was “very impor- tant”; a substantial majority thought taste was “very impor- tant” for potential long-term compliance. (Endocr Pract. 2011;17:218-225)