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)     

Cancer with Diabetes: Prevalence,Metabolic Control,and Survival in an Academic Oncology Practice

ObjectiveTo determine the prevalence of diabetes mellitus, glycemic control, and impact of diabetes on over all survival in an academic oncology practice.MethodsData on cancer patients (1999 to 2008) were retrieved from the institutional cancer registry and linked to electronic files to obtain diabetes status and hemoglobin A1c (A1C) values within the first 6 months of cancer diagnosis. Overall survival by cancer type with and without diabetes was compared using Cox regression.ResultsExcluding skin and hematologic malignancies, 15,951 cancer cases were identified. Overall diabe tes prevalence was 6.8% (n = 1,090), declining over time (P < 0.001). Diabetes was common among patients with pancreatic (9.8% [61 of 624]), colorectal (7.7% [89 of 1,151]), or bladder cancers (7.6% [68 of 899]). Patients with diabetes were older (mean age, 70 versus 66 years; P < 0.001) and more likely to be male (66.3% [723 of 1,090] versus 60.2% [8,949 of 14,858]; P < 0.001). The mean A1C among diabetic cancer patients was 6.8% and did not dif fer across cancer types (P = 0.80). Only 58.6% (331 of 565) of diabetic cancer patients had all A1C < 7.0% during the first 6 months following cancer diagnosis. Pancreatic cancer patients with coexisting diabetes had better overall survival than pancreatic cancer patients without diabetes (hazard ratio, 0.60; 95% confidence interval 0.44 to 0.80; P < 0.001). Conversely, diabetic prostate cancer patients had worse overall survival than prostate cancer patients without diabetes (hazard ratio, 1.36; 95% confidence interval 1.05 to 1.76; P = 0.02).ConclusionIn this academic oncology practice, diabetes was common, glycemic control often was subopti mal, and survival varied by cancer type. Additional study is needed to optimize glucose management and investigate mechanisms underlying age, sex, and survival differences. (Endocr Pract. 2012;18:898-905)     

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)     

Does Availability of Reliable Home Blood Glucose Data at Diabetes Appointments Improve Glycemia?

ObjectiveTo establish the prevalence of reliable self-monitored blood glucose (r-SMBG) data at office visits for diabetes and to determine whether r-SMBG is associated with changes in glycemic control and other clinical parameters.MethodsWe conducted a chart review of 500 patients followed in an Endocrinology Faculty/Commercial Insurance Practice (FP) or a Managed Medicare/Medicaid Diabetes Clinic (MDC). Follow-up visits for patients with type 1 or type 2 diabetes from January 1, 2012 to June 30, 2012 were analyzed for anthropometric data, creatinine (Cr), glomerular filtration rate (GFR), low-density lipoprotein cholesterol (LDL-C), medications, hemoglobin A1C (A1C), change in A1C from the previous visit (ΔA1C), and availability of r-SMBG data at the visit.ResultsOur sample was composed of 215 MDC patients (43%) and 285 FP patients (57%). Overall, 151 patients (30%) provided r-SMBG data at their visit, with no difference between MDC or FP patients. Mean A1C at MDC was 9.1%, while mean A1C at FP was 7.9% (P < .001). MDC patients with A1C > 8.0% demonstrated an A1C reduction of 1.2% if they provided r-SMBG, compared to an increase of 0.1% for MDC patients who did not (P < .05). Providing r-SMBG did not affect A1C in FP patients in any A1C range.ConclusionOnly a minority of diabetes patients, mostly insulin-treated, made r-SMBG data available to their providers. Insulin-requiring Managed Medicare/ Medicaid patients with poorly controlled diabetes had an A1c reduction associated with r-SMBG. Prospective studies are needed to determine whether this patient population may be more likely to benefit from r-SMBG at their visits. (Endocr Pract. 2014;20:299-304)     

Aerobic Fitness and Glycemic Variability in Adolescents with Type 1 Diabetes

ObjectiveThis study examines the association of fitness on glycemic variability (GV) in adolescents with type 1 diabetes mellitus (T1DM). GV has been associated with high frequency of hyper-and hypoglycemia.MethodsNineteen adolescents with T1DM, ages 14 to 19 years, underwent aerobic fitness testing to determine their maximal aerobic capacity (VO₂ max). A continuous glucose monitoring (CGM) device was placed on each subject and worn for 3 to 5 days until a return visit when the subjects underwent a 1-hour treadmill exercise session. Mean amplitude of glycemic excursion (MAGE) was calculated from the CGM data collected between the 2 study visits. Metabolic equivalent (MET), a measure of accumulated metabolic workload during the exercise session, was also calculated.ResultsMean VO₂ max was 46.6 ± 6.8 mL/kg/min, with a range of 34.8 to 57.0 mL/kg/min. Mean MET during the exercise session was 577.2 ± 102.4 and ranged from 354.3 to 716.2 METs. There was an inverse association between VO₂ max and MAGE (r = − 0.46; 95% confidence interval [CI], − 0.01 to − 0.76; P = .048). MET load and MAGE also had an inverse relationship (r = − 0.48; 95% CI, − 0.03 to − 0.77; P = .037).ConclusionGV is inversely associated with fitness and MET load. Aerobic fitness should be promoted in adolescents with T1DM not only because of its multiple beneficial effects but also due to a possible association with GV, leading to fewer extremes in hypo-and hyperglycemia. (Endocr Pract. 2014;20:566-570)     

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)     

Frequency of Continuous Glucose Monitoring use and Change in Hemoglobin A1C for Adults With Type 1 Diabetes in a Clinical Practice Setting

ObjectiveTo estimate the frequency of continuous glucose monitoring (CGM) use and change in hemoglobin A1c (HbA1c) compared to self-monitoring of blood glucose (SMBG) alone in adults with type 1 diabetes in a clinical practice setting.MethodsWe retrospectively identified 66 adult type 1 diabetes patients at the Barbara Davis Center for Diabetes (BDC) who first initiated CGM between 2006 and 2011 and 67 controls using SMBG. The frequency of CGM use was estimated from survey recall and defined as the mean number of days/month of CGM use during a maximum follow-up of 10 months. Change in HbA1c was calculated as the difference between the baseline value and the lowest follow-up value.ResultsThe mean change in HbA1c for CGM users was − 0.48% (95% confidence interval [CI]: − 0.67, − 0.28) and for SMBG users was − 0.37% (95% CI: − 0.56, − 0.18). The between-group mean difference in change in HbA1c, adjusted for patient characteristics, was − 0.11% (95% CI: − 0.38, 0.16), whereas the subgroup with a baseline HbA1c ≥ 7.0% and users of CGM ≥ 21 days/month was − 0.36% (95% CI, − 0.78, 0.05). Nearly half (n = 32, 48%) used CGM < 21 days/month. The reasons for low frequency of CGM use or discontinuation included sensor costs, frequency of alarms, inaccuracy, and discomfort.ConclusionsThese CGM data from clinical practice suggest a trend toward decreasing HbA1c for adults with type 1 diabetes, especially in patients with higher baseline HbA1c and higher frequency of CGM use. Future studies are needed to assess the use of CGM in larger populations of clinical practice adult type 1 diabetes patients. (Endocr Pract. 2014;20:1007-1015)     

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)     

Partial Hospitalization: An Intervention for Youth with Poorly Controlled Diabetes Mellitus

Objective: To examine the efficacy of an integrated medical/psychiatric partial hospitalization program (PHP) to improve glycemic control in youth with both diabetes mellitus and mental health disorders.Methods: This retrospective chart review is of patients admitted to a PHP between 2005–2015 with concerns about diabetes mellitus care. Clinical characteristics, laboratory data, diabetic ketoacidosis hospitalizations, and outpatient clinic visit frequency were collected from the year prior to the year after PHP admission.Results: A total of 43 individuals met inclusion criteria: 22 (51%) were female, 40 (93%) had type 1 diabetes, the mean age was 15.2 ± 2.3 years, and the mean diabetes mellitus duration was 4.6 ± 3.6 years. Of those individuals, 35 of these patients had hemoglobin A1c (HbA1c) data available at baseline, 6 months, and 1 year after PHP. The average HbA1c before PHP admission was 11.3 ± 2.3% (100.5 ± 25 mmol/mol), and decreased to 9.2 ± 1.3% (76.7 ± 14.8 mmol/mol) within 6 months of PHP admission (P<.001). The average HbA1c 1 year after PHP was 10.7 ± 1.7 % (93.3 ± 19.1 mmol/mol). Overall, 24 patients (68%) had lower HbA1c, and 75% of those with improvement maintained an HbA1c reduction of ≥1% (≥10 mmol/mol) at 1 year compared to before PHP.Conclusion: Most patients demonstrated improved glycemic control within 6 months of PHP admission, and many of those maintained a ≥1% (≥10 mmol/mol) reduction in HbA1c at 1 year following PHP admission. This program may represent a promising intervention that could serve as a model for intensive outpatient management of youth with poorly controlled diabetes mellitus.Abbreviations: ADA = American Diabetes Association; DKA = diabetic ketoacidosis; EMR = electronic medical record; HbA1c = hemoglobin A1c; ICD-9 = International Classification of Diseases, 9^th revision; PHP = partial hospitalization program     

Patient-Led Versus Physician-Led Titration of Insulin Glargine in Patients with Uncontrolled Type 2 Diabetes: A Randomized Multinational Atlas Study

ObjectiveSelf-adjustment of insulin dose is commonly practiced in Western patients with type 2 diabetes but is usually not performed in Asian patients. This multinational, 24-week, randomized study compared patient-led with physician-led titration of once-daily insulin glargine in Asian patients with uncontrolled type 2 diabetes who were on 2 oral glucose-lowering agents.MethodsPatient-led (n = 275) or physician-led (n = 277) subjects followed the same dose-titration algorithm guided by self-monitored fasting blood glucose (FBG; target, 110 mg/dL [6.1 mmol/L]). The primary endpoint was change in mean glycated hemoglobin (HbA_1c) at week 24 in the patient-led versus physician-led titration groups.ResultsPatient-led titration resulted in a significantly higher drop in HbA_1c value at 24 weeks when compared with physician-led titration (− 1.40% vs. − 1.25%; mean difference, − 0.15; 95% confidence interval, − 0.29 to 0.00; P = .043). Mean decrease in FBG was greatest in the patient-led group (− 2.85 mmol/L vs. − 2.48 mmol/L; P = .001). The improvements in HbA_1c and FBG were consistent across countries, with similar improvements in treatment satisfaction in both groups. Mean daily insulin dose was higher in the patient-led group (28.9 units vs. 22.2 units; P < .001). Target HbA_1c of < 7.0% without severe hypoglycemia was achieved in 40.0% and 32.9% in the patient-led and physician-led groups, respectively (P = .086). Severe hypoglycemia was not different in the 2 groups (0.7%), with an increase in nocturnal and symptomatic hypoglycemia in the patient-led arm.ConclusionPatient-led insulin glargine titration achieved near-target blood glucose levels in Asian patients with uncontrolled type 2 diabetes who were on 2 oral glucose-lowering drugs, demonstrating that Asian patients can self-uptitrate insulin dose effectively when guided. (Endocr Pract. 2015;21:143-157)     

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)     

Clinical Markers Implying the Need for Treatment in Women with Gestational Diabetes Mellitus

ObjectiveTo assess the association of the point-of-care hemoglobin A_1c (POC A1C), fasting blood glucose (FBG), and BMI with fetal macrosomia and the need for medication in women with gestational diabetes (GDM).MethodsPOC A1C, FBG, and BMI values at GDM diagnosis and fetal weight at delivery were obtained for women identified from a prospective patient registry. These outcomes were compared between women who did not require medication for GDM and women who did require medication.ResultsMean values of POC A1C, FBG, and BMI in 67 patients who required medication were higher than those in 71 patients who did not require medication (POC A1C: 5.72 ± 0.45% vs 5.35 ± 0.46% [P < .001]; FBG: 97.4 ± 12.3 mg/dL vs 86.4 ± 9.5 mg/dL [P < .001]; BMI: 35.4 ± 6.4 kg/m2 vs 30.4 ± 6.2 kg/m2 [P < .001]). There was a modest correlation between POC A1C and FBG (Spearman rho 0.4, P < .001) and between POC A1C and BMI (Spearman rho 0.366, P < .001). Maternal POC A1C was not correlated with fetal weight at delivery (Spearman rho –0.010, P = .915).ConclusionsHigher POC A1C, FBG, and BMI values were associated with the need for medication in women with GDM. The use of clinical markers to assess glycemic control sooner in pregnancy may lead to the earlier identification of women at risk for GDM and earlier intervention to decrease the risk for complications. (Endocr Pract. 2012;18:62-65)     

Trace elements,oxidative stress and glycemic control in young people with type 1 diabetes mellitus

Trace elements and oxidative stress are associated with glycemic control and diabetic complications in type 1 diabetes mellitus. In this study, we analyzed the levels of serum copper, zinc, superoxide dismutase (SOD) activity, and malondialdehyde (MDA) and urinary MDA and 8-hydroxy-2′-deoxyguanosine (8-OHdG) in 33 type 1 diabetic patients with optimal and suboptimal glycemic control (HbA_1C < 9.0%) and 40 patients with poor glycemic control (HbA_1C ≥ 9%) and 27 age- and sex-matched non-diabetic controls to evaluate the differences between these markers in different glycemic control states. Diabetic patients, especially poor-glycemic-control subjects (HbA_1C ≥ 9%), exhibited significantly lower levels of serum zinc and increased levels of serum copper (and, therefore, increased serum copper-to-zinc ratios), serum SOD, blood MDA, and urinary MDA and 8-OHdG, relative to non-diabetic subjects. Furthermore, significant correlations existed in these patients between the serum copper, serum copper-to-zinc ratio, and urinary MDA (all p < 0.001) and the levels of urinary 8-OHdG (p = 0.007) and HbA_1C. Our results suggest that high serum copper levels and oxidative stress correlate with glycemic control. Therefore, strict glycemic control, decreased oxidative stress, and a lower copper concentration might prevent diabetic complications in patients with type 1 diabetes mellitus.     

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.     

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)     

Evaluación de la utilización de las prestaciones específicas de los sistemas de infusión subcutánea de insulina y su relación con el control metabólico en pacientes con diabetes tipo 1

Background and objectivePatients with type 1 diabetes (T1DM) treated with continuous subcutaneous insulin infusion (CSII) have available several specific features of these devices. The aim of this study was to evaluate the relationship between real use of them and the degree of glycemic control in patients using this therapy.Patients and methodsForty-four T1DM patients on CSII therapy with or without real-time continuous glucose monitoring (CGM) were included. Data from 14 consecutive days were retrospectively collected using the therapy management software CareLink Personal/Pro^® and HbA1c measurement performed at that period. The relationship between the frequency of usie of specific features of insulin pumps (non-sensor augmented or sensor-augmented) and glycemic control was analyzed.ResultsMean HbA1c in the group was 7.5 ± .8%. Mean daily number of boluses administered was 5.1 ± 1.8, with 75.4% of them being bolus wizards (BW). Daily number of boluses was significantly greater in patients with HbA1c < 7.5% than in those with HbA1c > 7.5% (5.3 ± 1.6 vs. 4.3 ± 1.6, P = .056). There was a trend to greater use of BW in patients with better control (82.8 ± 21.4% vs. 69.9 ± 29.1%, P = .106). HbA1c was lower in patients using CGM (n = 8) as compared to those not using sensor-augmented pumps (7.6 ± .8 vs 7.1 ± .7, P = .067), but the difference was not statistically significant.ConclusionsMore frequent use of BW appears to be associated to better metabolic control in patients with T1DM using pump therapy. In standard clinical practice, augmentation of insulin pump with CGM may be associated to improved glycemic control.     

The association between serum selenium and gestational diabetes mellitus: A systematic review and meta-analysis

BackgroundResults of the studies about association between serum selenium concentration and gestational hyperglycemia are inconsistent. Some studies have demonstrated that women with gestational diabetes mellitus (GDM) have lower Se concentrations while contrary results are reported in other studies.AimThe aim of this study is to compare the serum Se concentration in women with GDM and normoglycemic pregnant women via a systematic review and meta-analysis.MethodsA computerized literature search on four databases (PubMed, Cochrane register of control trials, Scopus and Google scholar) was performed from inception through August 2013. Necessary data were extracted and random effects model was used to conduct the meta-analysis.ResultsSix observational studies (containing 147 women with GDM and 360 normoglycemic pregnant women) were found, which had compared serum Se concentration in women suffering from GDM with normal pregnant ones. Our meta-analysis revealed that serum Se concentration was lower in women with GDM compared to normoglycemic pregnant women (Hedges = −1.34; 95% CI: −2.33 to −0.36; P < 0.01). Stratified meta-analysis demonstrated that concentration of Se in the sera of women with GDM was lower than normal pregnant women both in second and third trimesters, but the result was not significant in second trimester (second trimester: Hedges = −0.68; 95% CI: −1.60−0.25; P = 0.15, third trimester: Hedges = −2.81; 95% CI: −5.21 to −0.42; P < 0.05). It was also demonstrated that serum Se status was lower in pregnant women with impaired glucose tolerance (IGT) compared to normoglycemic pregnant women (Hedges = −0.85; 95% CI: −1.18 to −0.52).ConclusionThe available evidences suggest that serum Se concentration is significantly lower in pregnant women with gestational hyperglycemia compared to normal pregnant women.     

Factores de riesgo cardiovascular en pacientes con hiperparatiroidismo primario asintomático

ObjectivesPatients with primary hyperparathyroidism (PHP), even asymptomatic, have an increased cardiovascular risk. However, data on reversibility or improvement of cardiovascular disorders with surgery are controversial. Our aims were to assess the prevalence of classic cardiovascular risk factors in patients with asymptomatic PHP, to explore their relationship with calcium and PTH levels, and analyze the effect of parathyroidectomy on those cardiovascular risk factors.Patients and methodsA retrospective, observational study of two groups of patients with asymptomatic PHP: 40 patients on observation and 33 patients who underwent surgery. Clinical and biochemical data related to PHP and various cardiovascular risk factors were collected from all patients at baseline and one year after surgery in the operated patients.ResultsA high prevalence of obesity (59.9%), type 2 diabetes mellitus (25%), high blood pressure (47.2%), and dyslipidemia (44.4%) was found in the total sample, with no difference between the study groups. Serum calcium and PTH levels positively correlated with BMI (r = .568, P = .011, and r = .509, P = .026 respectively) in non-operated patients. One year after parathyroidectomy, no improvement occurred in the cardiovascular risk factors considered.ConclusionsOur results confirm the high prevalence of obesity, type 2 diabetes mellitus, high blood pressure, and dyslipidemia in patients with asymptomatic PHP. However, parathyroidectomy did not improve these cardiovascular risk factors