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)     

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)     

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)     

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)     

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)     

Diabetes and Hyperglycemia Quality Improvement Efforts in Hospitals in the United States: Current Status,Practice Variation,and Barriers to Implementation

ObjectiveTo determine the status of diabetes and hyperglycemia quality improvement efforts in hospitals in the United States.MethodsWe designed and administered a survey to a convenience sample of hospitals, and the responses were analyzed statistically.ResultsWe received 269 responses from 1,151 requested surveys. The sample was similar to hospitals in the United States on the basis of hospital type and geographic region (P = no significant difference) but not on the basis of number of beds (P < .001). Among responding hospitals, 39%, 21%, and 15% had fully implemented inpatient diabetes and hyperglycemia quality improvement programs for critically ill, non-critically ill, and perioperative patients, respectively. Moreover, 77%, 44%, and 49% had fully implemented protocols for hypoglycemia, hyperglycemic crises, and diabetic ketoacidosis, respectively. Variations in glucose target ranges were noted. The responding hospitals had no standard biochemical definition of hypoglycemia; 47% defined hypoglycemia as a glucose level ≤ 70 mg/dL, but 29%, 8%, 6%, and 4% used < 60, ≤ce:hsp sp="0.10"/>50, < 40, and < 80 mg/dL, respectively. Almost a third of reporting hospitals had no metric to track the quality of inpatient diabetes and hyperglycemia care. More than half (59%) indicated that they did not have an automated capability to extract and analyze glucose data. The most frequent barrier to implementing a glycemic control program was concern regarding hypoglycemia (61%).ConclusionHospitals are addressing the issue of inpatient diabetes and glycemic control but face obstacles to implementation of quality improvement programs and vary in their approach to management. Improving the consistency of glucose control practices within hospitals in the United States should help enhance patient care and safety. Future efforts to help hospitals overcome barriers to introducing glucose control programs could include developing standardized glycemic control metrics, improving data collection and reporting methods, and providing improved tools that enable clinicians to control glucose safely. (Endocr Pract. 2010;16:219-230)     

Insulin Injections in Relation to Meals in the Hospital Medicine Ward: Comparison of 2 Protocols

ObjectiveTo investigate whether changing the prandial regular insulin to rapid-acting insulin analogue in hospital medicine wards improves the timing of insulin delivery in relation to meals and improves patient safety and glucose control.MethodsThis open-label randomized controlled trial in type 2 diabetic patients compared insulin lispro with meals and basal insulin glargine (intervention) vs regular insulin before meals and basal neutral protamine Hagedorn insulin twice daily (control). The primary endpoint was the rate of targeted timing of insulin to meals (target time). In the intervention group, target time was defined as insulin administered from 15 minutes before to 15 minutes after the patient started a meal. For the control group, target time was defined as insulin administered from 30 minutes before to 30 minutes after the patient started a meal. Hypoglycemic, hyperglycemic, and severe hyperglycemic patient-days were compared between groups.ResultsTwenty-seven patients in the intervention group and thirty-three patients in the control group were studied. The percentage of times that the insulin was given within target time was significantly higher in the intervention group as a whole (88.9% vs 70.1%, P < .001) and was higher for lunch and the evening meal (90% vs 66.7% and 94.7% vs 70.1%, P < .001). The rate of hypoglycemia was lower in the intervention group (1.85% vs 15%, P < .001). The rate of hyperglycemia was similar in both groups (68.2% vs 59.8%, P = .224), but the intervention group had a higher rate of severe hyperglycemia (28.9% vs 12.9%, P = .003).ConclusionsThe use of prandial insulin analogues in medicine wards allows better timing with meals than regular insulin and results in better hypoglycemic outcomes. Higher rates of hyperglycemia with prandial analogues may need adjustment in insulin doses. (Endocr Pract. 2011:17:737-746)     

Efficacy and Safety of Insulin Lispro in Obese Patients with Type 2 Diabetes: A Retrospective Meta-Analysis of 7 Randomized Controlled Trials

ObjectiveTo evaluate the efficacy and safety of insulin lispro in the treatment of patients with type 2 diabetes (T2DM) who had a body mass index (BMI) ≥ 30 kg/m² (obese) compared with patients with BMIs < 30 kg/m² (nonobese).MethodsA retrospective analysis of predefined endpoints from 7 randomized clinical trials of T2DM patients treated with insulin lispro was performed. The primary efficacy measure was to assess the noninferiority of insulin lispro in obese patients versus nonobese patients as measured by the change in hemoglobin A1C (HbA_1c) from baseline to Month 3 (n = 1,518), using a noninferiority margin of 0.4%. The secondary measures included overall hypoglycemia incidence and event rates and relative change in body weight.ResultsMean changes in HbA_1c from baseline (9.06% for obese and 8.92% for nonobese) to Month 3 were similar for obese patients (–1.03%) and nonobese (–1.02%), with a least squares (LS) mean difference (95% confidence interval [CI]) of –0.05% (–0.17%, 0.07%; P = .384). The overall incidence of hypoglycemia (53% vs. 63%; P < .001) and rate of hypoglycemia (0.93 vs. 1.76 events per 30 days; P < .001) was significantly lower in obese patients compared with nonobese patients. The 2 BMI cohorts did not demonstrate a significant difference in mean percent changes in body weights (LS mean difference = 0.4% [–0.2%, 0.9%]; P = .202).ConclusionObese patients with T2DM treated with insulin lispro were able to achieve the same level of glycemic control as their nonobese counterparts, with some evidence supporting a reduced risk of hypoglycemia. (Endocr Pract. 2014;20:389-398)     

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)     

A cross-sectional survey among patients and prescribers on insulin dosing irregularities and impact of mild (self-treated) hypoglycemia episodes in Spanish patients with type 2 diabetes as compared to other European patients

Background and objectiveIn Spain, data suggest that 13.8% of adults have diabetes. Two important aspects in diabetes management are mild hypoglycemic episodes and poor treatment adherence. This study assesses the impact of missed insulin doses and prevalence of mistimed and reduced insulin doses and mild hypoglycemia in patients with type 2 diabetes treated with basal insulin analogues in Spain, and compares the data collected to pooled data from 8 other European countries (OECs).Materials and methodsGAPP2 was an international, online, cross-sectional study of diabetic patients aged ≥40 years treated with long-acting insulin analogues and their healthcare professionals. Patients and healthcare professionals were recruited from online research panels. Data reported in Spain are compared to pooled data from 8 OECs.ResultsIn Spain, 1–3% of patients reported they had reduced, missed, or mistimed at least one insulin does in the previous month. Significantly more OEC patients reported dosing irregularities (15–23%; all P < 0.01). In Spain, 77% of patients were worried and 59% felt guilty for missing a dose of basal insulin, while 24% reported that they were very worried about nocturnal hypoglycemia. Significantly fewer OEC patients reported worrying (47%; P < 0.01) and feeling guilty (37%; P < 0.01) about missing an insulin dose, or worry about nocturnal hypoglycemia (12%; P < 0.01).ConclusionsIn Spain, patients with type 2 diabetes report fewer dosing irregularities and hypoglycemic episodes as compared to patients from OECs. However, Spanish patients appear to have a reduced quality of life related to hypoglycemia as well as worry and guilt related to insulin dosing irregularities.     

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)     

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

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

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

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

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)     

Risk of Postoperative Hypoglycemia In Cardiovascular Surgical Patients Receiving Computer-Based Versus Paper-Based Insulin Therapy

ObjectiveTo evaluate the safety and efficacy of replacing a paper-based protocol with a computer-guided glucose management system (CGMS) for the treatment of postoperative hyperglycemia in the cardiovascular intensive care unit (CVICU).MethodsWith use of a before-and-after analysis, adult patients (≥ 18 years) discharged from the CVICU and treated with the paper protocol were compared with patients discharged from the CVICU and treated with the CGMS. Of the 1,648 patients analyzed, 991 were in the CGMS group. Clinical end points were evaluated by using the Wilcoxon test. Unadjusted and adjusted hazard ratios (HRs) for each hypoglycemic end point were calculated from Cox models with use of the proportional hazards regression procedure, and clinical end points were adjusted for potential confounders.ResultsPatients treated with the paper protocol were6 times as likely to experience clinical hypoglycemia (blood glucose ≤ 70 mg/dL) as patients treated with the CGMS (adjusted HR = 6.06; P < .0001) and more than 7 times as likely to experience severe hypoglycemia (blood glucose ≤ 40 mg/dL) (adjusted HR = 7.59; P = .01). Despite the increased risk of hypoglycemia, no significant difference in length of stay or mortality was observed between the groups.ConclusionCGMS treatment of postoperative hyperglycemia in CVICU patients can successfully attain goal glucose levels with a significant reduction in hypoglycemia in comparison with a paper protocol. This association persists after controlling for covariates. (Endocr Pract. 2012; 18:529-537)     

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

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

Standardized Glycemic Management and Perioperative Glycemic Outcomes in Patients with Diabetes Mellitus who Undergo Same-Day Surgery

ObjectiveTo assess the safety and effectiveness of a standardized glycemic management protocol in patients with diabetes mellitus who undergo same-day surgery.MethodsThe perioperative glycemic management protocol consisted of preoperative instructions and perioperative order sets for management of subcutaneous and intravenous insulin. Patients with known diabetes admitted to same-day surgery during a 10-month period were observed. Patient demographic information and all capillary blood glucose (CBG) values obtained during the sameday surgery visit were collected. Hyperglycemia, defined as a CBG concentration of 200 mg/dL or greater, prompted notification of the attending anesthesiologist. While use of the perioperative order sets was encouraged, the attending anesthesiologist retained the prerogative to treat according to these order sets or their usual care. Physician compliance with the standardized order sets was determined by chart review in the patients who had a documented blood glucose value of 200 mg/dL or greater.ResultsPatients managed with the standardized order sets had greater reductions in CBG values (percentage change, 35 ± 20.5% vs 18 ± 24%, P < .001) and lower postoperative CBG values (186 ± 53 mg/dL vs 208 ± 63 mg/dL, P < .05) than patients who received usual care. No cases of intraoperative or postoperative hypoglycemia (CBG < 70 mg/dL) were observed in either group.ConclusionsA systematic approach to glycemic management that includes instructions for preoperative adjustments to home diabetic medications and order sets for treatment of perioperative hyperglycemia is safe and can be more effective than usual care for ambulatory surgery patients with diabetes. (Endocr Pract. 2011;17:404-411)     

Retinopathy is a Strong Determinant of Atherosclerosis in Type 2 Diabetes: Correlation with Carotid Intima Media Thickness

ObjectiveWe investigated the correlation between the severity of diabetic retinopathy (DR) and carotid intima media thickness (IMT) as a marker of atherosclerosis in patients with type 2 diabetes.MethodsThe study group consisted of 140 normo-tensive Egyptian patients (68 males and 72 females) with type 2 diabetes and DR. Carotid IMT was evaluated using high-resolution B-mode ultrasonography. DR was assessed and graded using colored fundus photography and fundus fluorescein angiography, as either nonproliferative DR (NPDR) or proliferative DR (PDR).ResultsCarotid IMT was greater in patients with PDR compared to those with NPDR (1.094 ± 0.142 mm vs. 0.842 ± 0.134 mm; P < .001). Carotid IMT showed positive correlation with diabetes duration (P < .01), systolic blood pressure (P < .001), diastolic blood pressure (P < .01), fasting blood glucose (P < .01), postprandial blood glucose (PPBG) (P < .001), glycated hemoglobin (P < .01), total cholesterol (P < .01), triglycerides (TGs) (P < .001), and DR (P < .0001). No significant difference was found between males and females in any of the studied parameters. Multiple regression analysis revealed that the determinants of carotid IMT in the studied group were age (P < .01), PPBG (P < .01), TGs (P < .001), and DR (P < .0001).ConclusionOur study proves that both NPDR and PDR are strong determinants of carotid IMT and atherosclerosis in patients with type 2 diabetes. (Endocr Pract. 2015;21:226-230)     

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)