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)     

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)     

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)     

Effect of Bromocriptine-Qr On Glycemic Control in Subjects with Uncontrolled Hyperglycemia On One or Two Oral Anti-Diabetes Agents

ObjectiveTo investigate the effect of Bromocriptine QR on glycemic control in patients with type 2 diabetes whose glycemia is poorly controlled on one or two oral anti-diabetes agents.MethodsFive hundred fifteen Type 2 Diabetes Mellitus (T2DM) subjects (ages 18 to 80 and average body mass index [BMI] of 32.7) with baseline HbA1c ≥ 7.5 and on one or two oral anti-diabetes (OAD) medications (metformin, sulfonylurea, and/or thiazolidinediones) were randomized 2:1 to bromocriptine-QR (1.6 to 4.8 mg/day) or placebo for a 24 week treatment period. Study investigators were allowed to adjust, if necessary, subject anti diabetes medications during the study to attempt to achieve glycemic control in case of glycemic deterioration. The impact of bromocriptine-QR treatment intervention on glycemic control was assessed in subjects on any one or two OADs (ALL treatment category) (N = 515), or on metformin with or without another OAD (Met/OAD treatment category) (N = 356), or on metformin plus a sulfonylurea (Met/SU treatment category) (N = 245) 1) by examining the between group difference in change from baseline a) concomitant OAD medication changes during the study, and b) HbA1c and 2) by determining the odds of reaching HbA1c of ≤ 7.0% on bromocriptine-QR versus placebo.ResultsSignificantly more patients (approximately 1.5 to 2-fold more; P < .05) intensified concomitant anti diabetes medication therapy during the study in the placebo versus the bromocriptine-QR arm. In subjects that did not change the intensity of the baseline diabetes therapy (72%), and that were on any one or two OADs (ALL), or on metformin with or without another OAD (Met/OAD), or on metformin plus sulfonylurea (Met/SU), the HbA1c change for bromocriptine-QR versus placebo was − 0.47 versus + 0.22 (between group delta of − 0.69, P < .0001), − 0.55 versus + 0.26 (between group delta of − 0.81, P < .0001) and − 0.63 versus + 0.20 (between group delta of − 0.83, P < .0001) respectively, after 24 weeks on therapy. The odds ratio of reaching HbA1c of ≤ 7.0% was 6.50, 12.03 and 11.45 (P < .0002) for these three groups, respectively.ConclusionIn T2DM subjects whose hyperglycemia is poorly controlled on one or two oral agents, bromocrip tine-QR therapy for 24 weeks can provide significant added improvement in glycemic control relative to adding placebo. (Endocr Pract. 2012;18:931-943)     

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)     

Improved Glycemic Control with Insulin Glargine Versus Pioglitazone as Add-On Therapy to Sulfonylurea or Metformin in Patients with Uncontrolled Type 2 Diabetes Mellitus

ObjectiveTo compare glycemic control with add-on insulin glargine versus pioglitazone treatment in patients with type 2 diabetes.MethodsThis 48-week, multicenter, parallel-group, open-label study randomized 389 adults with poorly controlled type 2 diabetes (glycated hemoglobin A1c [A1C], 8.0% to 12.0%), despite ≥ 3 months of sulfonylurea or metformin monotherapy, to receive add-on therapy with insulin glargine or pioglitazone. Outcomes included A1C change from baseline to end point (primary), percentage of patients achieving A1C levels ≤ 7.0%, and changes from baseline in fasting plasma glucose, body mass index, weight, and serum lipids. The safety analysis included incidence of adverse events and rates of hypoglycemia.ResultsAt end point, insulin glargine yielded a significantly greater reduction in A1C in comparison with pioglitazone (-2.48% versus -1.86%, respectively; 95% confidence interval, -0.93 to -0.31; P = .0001, 48-week modified intent-to-treat population). Insulin glargine also yielded significantly greater reductions in fasting plasma glucose at all time points (end point difference, -34.9 mg/ dL; 95% confidence interval, -47.6 to -22.2; P < .0001). In comparison with pioglitazone, insulin glargine resulted in a lower overall incidence of possibly related treatmentemergent adverse events (12.0% versus 20.7%) and fewer study discontinuations (2.2% versus 9.1%), but a higher rate (per patient-year) of confirmed clinically relevant hypoglycemic episodes (blood glucose < 70 mg/dL and all severe hypoglycemia) (4.97 versus 1.04; P <.0001) and severe hypoglycemia (0.07 versus 0.01; P = .0309). Weight and body mass index changes were similar between the 2 treatment groups.ConclusionThe addition of insulin glargine early in the diabetes treatment paradigm in patients for whom sulfonylurea or metformin monotherapy had failed resulted in significantly greater improvements in glycemic control in comparison with the addition of pioglitazone. Although severe hypoglycemia was more frequent in patients with insulin glargine therapy, hypoglycemic events occurred in < 5% of patients in the insulin glargine treatment group. (Endocr Pract. 2010;16:588-599)     

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)     

Increased Atherogenic Low-Density Lipoprotein Cholesterol in Untreated Subclinical Hypothyroidism

ObjectiveTo evaluate the effects of physiologic doses of levothyroxine replacement on the lipoprotein profile in patients with subclinical hypothyroidism (SCH).MethodsIn a prospective, double-blind, placebo- controlled study, we enrolled 120 patients—mostly, but not exclusively, premenopausal women—with SCH. Patients were randomly assigned to either a levothyroxine- treated group (n = 60) or a placebo (control) group (n = 60). Total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and triglycerides (TG) were measured before and 52 weeks after assignment to either group.ResultsIn the levothyroxine-treated group, the lipoprotein mean values before and after the 52-week study were as follows: TC, 5.05 ± 0.98 mmol/L versus 4.74 ± 0.87 mmol/L (P < .0001); LDL-C, 3.30 ± 0.90 mmol/L versus 2.89 ± 0.59 mmol/L (P < .01); TG, 1.18 ± 0.71 mmol/L versus 0.95 ± 0.53 mmol/L (P < .002); and HDL-C, 1.20 ± 0.33 mmol/L versus 1.19 ± 0.32 mmol/L (P = .29). In the control group, TC, HDL-C, and TG values remained unchanged after 52 weeks in comparison with baseline, but LDL-C mean values increased from 2.79 ± 0.60 mmol/L to 3.11 ± 0.77 mmol/L, a change that was statistically significant (P < .001). At the end of the study, the lipid profile changes between levothyroxine- treated and control groups were compared. Total cholesterol and LDL-C were significantly lower in the levothyroxine-receiving group (P < .029 and P < .0001, respectively) in comparison with the control group. The difference did not reach statistical significance for TG and HDL-C values.ConclusionIn premenopausal women, SCH has a negative effect on the lipoprotein profile and may translate into a sizable cardiovascular risk if left untreated. (Endocr Pract. 2008;14:570-575)     

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)     

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)     

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)     

Effect Of A Targeted Glycemic Management Program On Provider Response To Inpatient Hyperglycemia

ObjectiveTo report the results of implementation of a Targeted Glycemic Management (TGM) Service pilot, with the goals of improving clinician awareness of available inpatient glycemic management protocols and improving responsiveness to and frequency of severe hyperglycemia.MethodsPatients with a blood glucose (BG) level ≥ 300 mg/dL who were hospitalized on a general medicine unit during three 12-week periods before, during, and after the TGM pilot were compared for responsiveness by the primary team, percentage of subsequent BG measurements between 80 and 180 mg/dL, and frequency of subsequent severe hyperglycemia (BG levels ≥ 300 mg/dL) and hypoglycemia (BG values < 70 mg/dL).ResultsIn comparison with pre-TGM and post-TGM periods, more patients during the TGM pilot had a modification of their glycemic regimen in response to severe hyperglycemia (49% versus 73% versus 50%, before, during, and after TGM, respectively; P = .044), and the percentage of patients with ≥ 50% of subsequent BG measurements in the desired range (27% versus 53% versus 32%; P = .035) was greatest during the TGM period. The incidence of subsequent severe hyperglycemia (20% versus 9% versus 16%; P = .0004) was lowest during the TGM period; however, the incidence of hypoglycemia was similar in all 3 periods (3.9% versus 3.7% versus 3.7%).ConclusionThese results indicate that a TGM Service can favorably influence glycemic management practices and improve glycemic control, but ongoing intervention is necessary for maintenance of these results. (Endocr Pract. 2011;17:552-557)     

Influence Of Diabetes And Hyperglycemia On Duration Of Stay In Patients Hospitalized With Congestive Heart Failure

ObjectiveTo analyze the influence of diabetes and hyperglycemia on duration of stay in patients hospitalized with congestive heart failure (CHF).MethodsWe conducted a retrospective review of data for patients admitted during a 6-month period with CHF to a community teaching hospital in Baltimore, Maryland. Patients were divided into diabetic and nondiabetic groups, and patients with diabetes were stratified by mean fasting plasma glucose levels into the following groups: < 110 mg/dL, 110 to 180 mg/dL, and > 180 mg/dL. The primary outcome was duration of hospitalization. Other variables included sex, age, ejection fraction, admission glucose, brain natriuretic peptide, creatinine, and other comorbidities.ResultsThe study cohort consisted of 142 patients, 49% of whom had diabetes. The duration of hospitalization was 3.23 days in the patients with diabetes versus 3.11 days in those without diabetes (P = .875). Patients with diabetes were significantly younger (71.8 versus 76.6 years; P = .027) and had a higher baseline mean creatinine level (1.4 versus 1.2 mg/dL; P = .010). Patients with diabetes in the 110 to 180 mg/dL blood glucose group had shorter hospitalizations than did those in the < 110 mg/dL group (2.94 versus 3.41 days; P = .259). Only 9 patients had blood glucose levels > 180 mg/dL, and these patients had the longest hospitalizations (mean duration, 3.78 days).ConclusionThe prevalence of diabetes was higher in our study than in previously published studies of patients with CHF. Although patients with diabetes did not have significantly longer hospitalizations than those without diabetes, they were significantly younger and had higher baseline creatinine values. Hyperglycemia was an infrequent phenomenon among patients without diabetes. The patients with diabetes in the 110 to 180 mg/dL blood glucose group had shorter hospitalizations than did those in the < 110 mg/dL group, although this difference did not reach statistical significance. Many of the initial studies of tight glucose control were conducted in the surgical intensive care unit, but recently published evidence has raised doubt about applying these results to medical patients. We conclude that there may be no significant benefit in terms of duration of hospitalization in assigning patients with diabetes who have CHF exacerbations to tight glucose control regimens. A more liberal approach of maintaining glucose levels at 110 to 180 mg/dL may be acceptable. (Endocr Pract. 2008;14:691-696)     

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)     

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)     

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)     

Efficacy and Safety of Linagliptin in Black/African American Patients with Type 2 Diabetes: A 6-Month,Randomized, Double-Blind,Placebo-Controlled Study

ObjectiveAlthough black/African American individuals are disproportionately affected by type 2 diabetes, there is scant clinical trial information available on antidiabetes therapies in this group. We compared linagliptin with placebo in black/African American adults who were treatment-naïve or receiving one oral antidiabetes drug.MethodsOf 226 patients randomized to 24 weeks’ linagliptin 5 mg/day or placebo, 208 had baseline and at least one on-treatment glycated hemoglobin (HbA_1c) measurement. Mean baseline HbA_1c was 8.6% in the linagliptin group (n = 98) and 8.68% in the placebo group (n = 110). The primary outcome was change in HbA_1c from baseline to week 24.ResultsBy week 24, mean HbA_1c changes were − 0.84% with linagliptin and − 0.25% with placebo (treatment difference, − 0.58%; P < .001), and more patients in the linagliptin group achieved HbA_1c < 7.0% (26.8% vs. 8.3%; P = .001) or an HbA_1c reduction ≥ 0.5% (54.1% vs. 30.0%; P < .001). Mean weight loss was − 1.1 kg in both groups. During the treatment period, 8 of 98 linagliptingroup patients and 17 of 110 placebo-group patients required rescue therapy (odds ratio, 0.5; P = .14). For postprandial glucose, values were available for few patients (11 placebo, 10 linagliptin), and thus the between-group difference was associated with wide confidence intervals (CIs) (difference, − 1.97 mg/dL; 95% CI, − 53.80 to 49.86; P = .94). In the overall study population, a similar proportion of patients in both groups had adverse events (58.5% vs. 61.7%); most events were mild or moderate and considered unrelated to study drug. Investigator-defined hypoglycemia was rare (3 linagliptin-group patients and 1 placebogroup patient), with no severe events (requiring external assistance).ConclusionThis study confirms that linagliptin is efficacious and well tolerated in black/African American patients with type 2 diabetes. (Endocr Pract. 2014;20: 412-420)     

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)     

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)     

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)