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)     

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)     

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)     

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)     

Economic and Clinical Impact of Inpatient Diabetic Hypoglycemia

ObjectiveTo assess the clinical and economic impact of hypoglycemia that develops during hospitalization of patients with diabetes.MethodsIn this retrospective cohort study, data from 70 hospitals were used to identify the first inpatient encounter for adult patients with diabetes. Patients were included if all blood glucose measurements were 70 mg/dL or higher during the first 24 hours and their primary discharge diagnosis was for a condition other than hypoglycemia. Those who developed laboratory evidence of hypoglycemia (blood glucose < 70 mg/dL after 24 hours) were compared with patients whose blood glucose values were all 70 mg/dL or higher. An alternative definition of hypoglycemia (blood glucose < 50 mg/dL after 24 hours) was also evaluated. We adjusted for potential confounders with multivariate models.ResultsHypoglycemia had an adverse effect on all outcomes among more than 100 000 diabetic patients. After adjustment, patients with diabetes who developed hypoglycemia had higher charges (38.9%), longer lengths of stay (3.0 days), higher mortality (odds ratio, 1.07; 95% confidence interval, 1.02-1.11), and higher odds of being discharged to a skilled nursing facility (odds ratio, 1.58; 95% confidence interval, 1.48-1.69) than diabetic patients without hypoglycemia (P < .01 for all). In all cases, using the lower threshold (< 50 mg/dL) to define hypoglycemia resulted in similar findings with a larger magnitude of differences.ConclusionsAlthough a direct causal relationship cannot be inferred, these study findings suggest the importance of carefully maintaining euglycemia during hospitalizations. Whether the observed worse outcomes were due to hypoglycemia itself or whether they were a marker of worse outcomes due to other causes requires further research. (Endocr Pract. 2009;15:302-312)     

Glucose Variability is an Independent Predictor of Mortality in Hospitalized Patients Treated with Total Parenteral Nutrition

ObjectiveHyperglycemia is associated with increased mortality in critically ill patients treated with total parenteral nutrition (TPN). The role of glucose variability (GV) in predicting outcomes in these patients is not known.MethodsThis retrospective study included medical and surgical patients receiving TPN in a community teaching hospital. GV was calculated by standard deviation (SD) of blood glucose (BG) values and by mean BG daily (Δ) change (daily max – daily minimum).ResultsA total of 276 medical and surgical patients (mean age: 51 ± 18 years), 19% with a history of diabetes mellitus (DM), and 74% with intensive care unit (ICU) admission were treated with TPN. During TPN, the mean daily BG was 142.9 ± 33 mg/dL; frequencies of hypoglycemia < 70 and < 40 mg/dL were 41% and 3%, respectively; and hospital mortality was 27.2%. The mean GV by SD was 38 ± 21 mg/dL and by mean (Δ) change 58 ± 34 mg/dL. GV was significantly higher in deceased patients (SD: 48 ± 25 vs. 34 ± 18 mg/dL and Δ change: 75 ± 39 vs. 51 ± 29 mg/dL, both P < .01) than surviving patients. Multivariate analysis adjusted for age, DM status, gender, APACHE (Acute Physiology and Chronic Health Evaluation) score, mean daily glucose, and hypoglycemia revealed that GV was an independent predictor of hospital mortality (P < .05). The association between GV and mortality was limited to patients without a history of DM and was not present in patients with DM.ConclusionHigh GV is associated with increased hospital mortality independent of the presence and severity of hyperglycemia or hypoglycemia during TPN therapy. Prospective randomized trials are needed to determine if reduction in GV with intensive glycemic control improves clinical outcomes in patients treated with TPN. (Endocr Pract. 2014;20:41-45)     

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)     

Basal-Bolus Regimen With Insulin Analogues Versus Human Insulin in Medical Patients with type 2 Diabetes: A Randomized Controlled Trial in Latin America

Objective: Few randomized studies have focused on the optimal management of non–intensive care unit patients with type 2 diabetes in Latin America. We compared the safety and efficacy of a basal-bolus regimen with analogues and human insulins in general medicine patients admitted to a University Hospital in Asunción, Paraguay.Methods: In a prospective, open-label trial, we randomized 134 nonsurgical patients with blood glucose (BG) between 140 and 400 mg/dL to a basal-bolus regimen with glargine once daily and glulisine before meals (n = 66) or Neutral Protamine Hagedorn (NPH) twice daily and regular insulin before meals (n = 68). Major outcomes included differences in daily BG levels and frequency of hypoglycemic events between treatment groups.Results: There were no differences in the mean daily BG (157 ± 37 mg/dL versus 158 ± 44 mg/dL; P = .90) or in the number of BG readings within target <140 mg/dL before meals (76% versus 74%) between the glargine/glulisine and NPH/regular regimens. The mean insulin dose in the glargine/glulisine group was 0.76 ± 0.3 units/kg/day (glargine, 22 ± 9 units/day; glulisine, 31 ± 12 units/day) and was not different compared with NPH/regular group (0.75 ± 0.3 units/kg/day [NPH, 28 ± 12 units/day; regular, 23 ± 9 units/day]). The overall prevalence of hypoglycemia (<70 mg/dL) was similar between patients treated with NPH/regular and glargine/glulisine (38% versus 35%; P = .68), but more patients treated with human insulin had severe (<40 mg/dL) hypoglycemia (7.6% versus 25%; P = .08). There were no differences in length of hospital stay or mortality between groups.Conclusion: The basal-bolus regimen with insulin analogues resulted in equivalent glycemic control and frequency of hypoglycemia compared to treatment with human insulin in hospitalized patients with diabetes.Abbreviations: BG = blood glucose BMI = body mass index HbA_1c = glycated hemoglobin NPH = Neutral Protamine Hagedorn T2D = type 2 diabetes     

Decreased Mortality with Tight Glycemic Control in Critically Ill Patients: A Retrospective Analysis in a Large Community Hospital System

ObjectiveTo measure the efficacy and possible adverse consequences of tight blood glucose (BG) control when compared to relaxed control.MethodsA retrospective, observational study was conducted at a community-based teaching hospital system among adult, nonmaternity hospitalized patients admitted to the intensive care unit (ICU). Tight glycemic control of BG was compared with less strict BG control, and the following outcome measurements were compared: BG, average length of stay (ALOS), severe hypoglycemia, and mortality.ResultsBetween 2008 and 2012, 18,919 patients were admitted to the ICU. The mortality rate was significantly lower (P = .0001) in patients with an average BG between 80 and 110 mg/dL (8%) and 111 and 140 mg/dL (9.4%) than in patients with average BG between 141 and 180 mg/dL (12.9%). Using tight glycemic control (80 to 110 mg/dL), the ALOS in the ICU decreased from 4 to 2.9 days (P < .0001) among all patients, and from 4.2 to 2.1 days (P < .0001) among patients who had undergone coronary artery bypass graft. Comparatively, the ALOS for the hospital decreased from 9.4 to 8 days. The incidence of severe hypoglycemia (BG < 40 mg/dL) was higher (P = .01) in the tight BG control group (4.78%) compared with the relaxed control group (3.5%). This rate was lower than in previously published studies that analyzed the use of tight control.ConclusionTight glycemic control using protocolbased insulin administration resulted in a decrease in mortality and ALOS among all patients in the ICU. The incidence of severe hypoglycemic episodes was slightly higher in the tightly controlled group but remained lower than in previously published studies. (Endocr Pract. 2014;20: 907-918)     

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     

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)     

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)     

Elevated Fructosamine Levelsin Acquired Immunodeficiency Syndrome

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

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)     

Computerized Physician Order Entry- Based Hyperglycemia Inpatient Protocol and Glycemic Outcomes: The CPOE-HIP Study

ObjectiveTo evaluate the impact of implementing a computerized physician order entry (CPOE)-based hyperglycemia inpatient protocol (HIP) on glycemic outcomes.MethodsThis retrospective, cross-sectional study compared blood glucose values, hemoglobin A_1c values, diabetes medication profiles, and demographic data of diabetic patients admitted to medicine services between March 15, 2006, and April 11, 2006 (before CPOE-HIP protocol was adopted), with data of diabetic patients admitted between October 3, 2007, and October 30, 2007 (1 year after CPOE-HIP protocol was implemented).ResultsA total of 241 diabetic patients comprised the pre-CPOE-HIP group and 197 patients comprised the post-CPOE-HIP group. After the protocol was adopted, there was a decrease of 10.8 mg/dL in the mean glucose concentration per patient-day (175.5 ± 81.2 mg/dL vs 164.7 ± 82 mg/dL, P < .001). Additional glycemic control improvements included a 5% increase in patient-days with serum glucose concentrations between 70 and 150 mg/ dL (41.1% vs 46.1%, P = .008) and a 3.1% decrease in patient-days with glucose concentrations above 299 mg/dL (16.9% vs 13.8%, P = .023). The percentage of patientdays with glucose concentrations less than or equal to 50 mg/dL was not significantly different (0.95% vs 1.27%, P = .15). Compliance with the American Diabetes Association recommendation for hemoglobin A_1c inpatient testing frequency increased from 37.3% to 64.5% (P < .001). The length of stay did not differ between the groups.ConclusionsImplementation of a hospital-wide, CPOE-based, hyperglycemia management protocol had a favorable impact onglucose targets, decreasing excessively high glucose levels without increasing clinically meaningful hypoglycemic events. Compliance with hemoglobin A_1c testing recommendations also improved. (Endocr Pract. 2010;16:389-397)     

High-Dose Glucocorticoid Treatment Does Not Induce Severe Hyperglycemia in Young Patients with Autoimmune Diseases by Cgms

Objective: High-dose glucocorticoids (HDG) are used in the treatment of autoimmune diseases. Glucocorticoids-induced hyperglycemia (GIH) is often described in elderly patients. In young patients with autoimmune diseases, however, the risk for GIH has not been well characterized.Methods: We recruited 24 inpatients (median age, 32 years; interquartile range, 25–42) with exacerbations of autoimmune diseases, receiving 1 to 2 mg/kg/day prednisone or equivalent methylprednisone. Fourteen subjects were naïve to glucocorticoids (group 1) and 10 subjects were on glucocorticoid maintenance (≤15 mg/day prednisone at least 3 months) (group 2) prior to HDG. All subjects were monitored by continuous glucose monitoring system (CGMS) for 3 days.Results: GIH developed in 21 (91%) subjects, 11/13 in group 1 and 10/10 in group 2. The main peak of glucose excursion (128.7 ± 6.4 mg/dL, group 1; 143.9 ± 10.0 mg/dL, group 2) occurred at 2 to 3 pm. Another peak occurred before sleep. Two-hour mean postprandial glucose levels were normal in both groups: breakfast, 105.0 ± 28.4 versus 125.6 ± 24.4 mg/dL, P = .065; lunch, 115.7 ± 21.1 versus 135.9 ± 29.0 mg/dL, P = .082; dinner, 122.8 ± 18.5 versus 137.8 ± 26.4 mg/dL, P = .144 in groups 1 and 2, respectively. There was a positive association between pretreatment hemoglobin A1C and peak glucose levels (P<.0001). Notably, 35% of our subjects experienced early morning hypoglycemia (65.2 ± 2.8 mg/dL).Conclusion: In hospitalized young patients with auto-immune diseases, CGMS data revealed that short-term consistent HDG treatment induced mild hyperglycemia, peaking in the early afternoon and before sleep. Early morning hypoglycemia was found in 35%.Abbreviations: A1C = hemoglobin A1C; AUC = the area under the curve; BG = blood glucose; BMI = body mass index; CGMS = continuous glucose monitoring system; DM = diabetes mellitus; FBG = fasting blood glucose; GA = glycated albumin; GCs = glucocorticoids; GIH = glucocorticoids-induced hyperglycemia; HDG = high-dose glucocorticoids; HOMA-IR = Homeostasis Model Assessment-Insulin Resistance; IG = interstitial glucose; IQR = interquartile range; PUMCH = Peking Union Medical College Hospital; SLE = systemic lupus erythematosus     

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)     

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

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

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)     

Use of Serum and Plasma Glucose Measurements as a Benchmark for Improved Hospital-Wide Glycemic Control

ObjectiveTo demonstrate the benefit of an institutionally implemented glucose control intervention based on serum and plasma glucose values in the acute inpatient setting.MethodsIn a retrospective analysis, all serum and plasma glucose values from the laboratory information system database from 1999 through 2005 were used to assess implementation of 2 new hospital-wide intravenous and subcutaneous protocols aimed at lowering blood glucose values without increasing the number of hypoglycemic events. In our analysis, we used both a per-patient hyperglycemic index (HGI), an area-under- the-curve analysis, and hospital-wide geometric mean blood glucose to assess glucose control. Bedside capillary blood glucose measurements were not included.ResultsMore than 630,000 serum and plasma glucose results were available for analysis. The percentage of results above the protocol target of 180 mg/dL decreased from 16.4% before the intervention to 10.0% after the intervention (P < .00001), and we found no change in the proportion of “critical" hypoglycemic results (< 50 mg/dL). The hospital-wide geometric mean decreased significantly and coincided with a significant decrease in the fraction of patients with poor glucose control (based on the HGI) from 27.6% to 18.7% (P < .00001). The geometric mean blood glucose was found to be an excellent marker for the HGI (r² = 0.99).ConclusionWe are the first to report improvements in glucose control over an extended period with use of both hospital-wide intravenous and subcutaneous insulin protocols in an academic hospital setting. Furthermore, hospital-wide mean blood glucose levels are excellent surrogates for the more comprehensive calculation of per-patient HGI. (Endocr Pract. 2008;14:556-563)