Evaluation of Admission Blood Glucose Levels in The Intensive Care Unit

ObjectiveTo assess the availability and clinical value of blood glucose (BG) testing at the time of admission to the intensive care unit (ICU) after such testing was implemented as routine care in the ICU.MethodsWe studied ICU admission BG testing rates and the prevalence of hyperglycemia. In this effort, we assessed the frequency of baseline BG testing in 330 consecutive patients during a period of 3 months and then implemented routine BG monitoring in 1,147 consecutive ICU patients during a 7-month period.ResultsOf the total study population, 25% had previously diagnosed diabetes (PDD). At baseline, 70% had BG measured within 4 hours before or after ICU admission (99% of patients with and 60% of patients without PDD). After implementation of routine BG monitoring, there was a significant increase in testing (70% before versus 87% after, /40.001; 70% during the baseline 3-month period versus 93% in the final 3 months of the study, P < 0.001). In patients without PDD, 41% had BG levels ≥ 140 mg/dL, and 8% had BG concentrations ≥ 200 mg/dL. Overall in the ICU setting, 57% of BG values ≥ 140 mg/dL and 33% of BG levels > 200 mg/dL were in patients without PDD. Frequencies of BG testing by admission diagnosis included the following (at baseline and during the final 3 months after implementation of routine BG tests): post-surgical status (46%, 85%), peripheral vascular disease (51%, 90%), neurologic disease (52%, 83%), gastrointestinal disease (58%, 91%), infection (69%, 100%), and diabetes (100%, 100%).ConclusionRates of routine BG testing are low in ICU patients without PDD. Elevations in BG levels were detected in 41% of our study patients without PDD, suggesting that routine implementation of BG monitoring in an ICU will identify patients at increased risk for hyperglycemia-associated higher morbidity and mortality. (Endocr Pract. 2007;13:705-710)     

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)     

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)     

Association Between Blood Glucose Levels and Development of Candidemia in Hospitalized Patients

ObjectiveTo examine the relationship between blood glucose levels in hospitalized patients and the risk of occurrence of candidemia.MethodsWe undertook a retrospective review of medical records and hospital computerized database information to compare blood glucose levels in 48 patients with nosocomial candidemia and 144 contemporaneous matched control subjects without candidemia at a tertiary teaching hospital.ResultsThe proportions of days (for patients with candidemia versus control subjects without candidemia) with blood glucose levels ≥ 100 mg/dL (293 of 325 [90%] versus 849 of 1,007 [84%]; P = .009), ≥ 140 mg/dL (184 of 325 [57%] versus 507 of 1,007 [50%]; P = .049), and ≥ 200 mg/dL (80 of 325 [25%] versus 163 of 1,007 [16%]; P = .001) were significantly higher during the 7 days preceding the diagnosis of candidemia than during a 7-day period of hospitalization of control subjects. Blood glucose levels exceeding 200 mg/dL for 4 or more days of the week preceding the diagnosis of candidemia were significantly associated with its development (P = .04; odds ratio, 2.44; and 95% confidence interval, 1.01 to 5.94).ConclusionInpatient hyperglycemia is an important—and potentially modifiable—risk factor for development of nosocomial candidemia. These findings have implications for innovative infection control strategies that focus on glycemic control. (Endocr Pract. 2009;15:111- 115)     

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)     

Hospital Insulin Protocol Aims For Glucose Control In Glucocorticoid-Induced Hyperglycemia

Objective: To compare the effectiveness of 2 insulin protocols to treat glucocorticoid-induced hyperglycemia in the nonintensive care hospital setting.Methods: A randomized, open-label, parallel-arm study was conducted comparing standard recommended care of complete insulin orders (CIO) (i.e., 3-part insulin regimen of long-acting basal [background], rapid-acting bolus [mealtime], and rapid-acting correction factor) to an experimental group following a regimen of Neutral Protamine Hagedorn (NPH) plus CIO (NPH-CIO). The primary outcome was mean blood glucose (BG), and the secondary outcome was percent of BG in target range of 70 to 180 mg/dL. Hypoglycemia was also evaluated.Results: Sixty-one patients completed 2 to 5 consecutive inpatient days (31 CIO; 30 NPH-CIO). Baseline mean BG results were 237.2 ± 50.2 and 221.9 ± 35.8 mg/dL (P = .30) in the CIO and NPH-CIO groups, respectively. No significant difference in overall mean BG between the 2 groups was detected; however, a significant difference arose on day 3: mean BG 181.8 ± 32.6 mg/dL (CIO) versus 157.2 ± 6.1 mg/dL (NPH-CIO) (P = .03). Moreover, the total daily doses (TDDs) of insulin did not differ: 34.8 ± 43.0 units (CIO) versus 35.8 ± 25.0 units (NPH-CIO) (P = .13). Percent of BG in target was 54.6% (CIO) and 62% (NPH-CIO) (P = .24). Incidence of severe hypoglycemia (<50 mg/dL) was the same in both groups (0.1%).Conclusion: NPH added to 3-part insulin regimen (CIO) may be an effective way to a combat glucocorticoid-induced hyperglycemia, though further research is needed in a larger population.Abbreviations:A1C = hemoglobin A1CBG = blood glucoseCIO = complete insulin ordersDM = diabetes mellitusNPH = neutral protamine HagedornNPH-CIO = neutral protamine Hagedorn plus CIOTDD = total daily dose     

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)     

Colesevelam Hydrochloride to Treat Hypercholesterolemia and Improve Glycemia in Prediabetes: A Randomized,Prospective Study

ObjectiveTo assess the effect of the bile acid sequestrant colesevelam hydrochloride in patients with hypercholesterolemia and prediabetes.MethodsIn this 16-week, randomized, double-blind study, adults with untreated prediabetes (2-hour postoral glucose tolerance test [OGTT] glucose ≥ 140 to 199 mg/dL, fasting plasma glucose [FPG] ≥ 110 to 125 mg/ dL, or both), low-density lipoprotein cholesterol (LDL-C) ≥ 100 mg/dL, and triglycerides < 500 mg/dL were randomly assigned to receive colesevelam (3.75 g/d) or placebo. The primary end point was percent change in LDL-C from baseline to week 16 with last observation carried forward. Secondary end points included change in FPG, hemoglobin A1c (A1C), and 2-hour post-OGTT glucose level from baseline to week 16 and attainment of LDL-C and FPG targets.ResultsIn total, 216 patients were randomized (colesevelam, 108; placebo, 108). In comparison with placebo, colesevelam significantly reduced LDL-C (mean treatment difference, -15.6%), non-high-density lipoprotein cholesterol (-9.1%), total cholesterol (-7.2%), apolipoprotein B (-8.1%) (P < .001 for all the foregoing), FPG (median, -2.0 mg/dL; P = .02), and A1C (mean, -0.10%; P = .02). Colesevelam did not significantly change 2-hour post-OGTT glucose (-1.9 mg/dL; P = .75) or high-density lipoprotein cholesterol (-0.5%; P = .80). In addition, colesevelam significantly increased triglyceride levels relative to placebo (median, 14.3%; P < .001). The proportion of patients achieving target levels with colesevelam versus placebo, respectively, was as follows: LDL-C < 100 mg/dL (29% versus 11%; P < .001), A1C < 6.0% (37% versus 25%; P = .05), FPG < 110 mg/dL (48% versus 56%; P = .97), and normalization of glucose (FPG < 100 mg/dL [40% versus 23%; P = .06]). Colesevelam had a weight-neutral effect and was well tolerated.ConclusionColesevelam is an option for managing the lipid profile and normalizing glucose levels in patients with hypercholesterolemia and prediabetes. Further study is warranted to determine whether colesevelam slows or prevents progression of prediabetes to type 2 diabetes. (Endocr Pract. 2010;16:617-628)     

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)     

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)     

Effects of a Computerized Order Set on the Inpatient Management of Hyperglycemia: A Cluster-Randomized Controlled Trial

ObjectiveTo determine the effects of a computerized order set on the inpatient management of diabetes and hyperglycemia.MethodsWe conducted a cluster-randomized controlled trial on the general medical service of an academic medical center staffed by residents and hospitalists. Consecutively enrolled patients with diabetes mellitus or inpatient hyperglycemia were randomized on the basis of their medical team to usual care (control group) or an admission order set built into the hospital’s computer provider order entry (CPOE) system (intervention group). All teams received a detailed subcutaneous insulin protocol and case-based education. The primary outcome was the mean percent of glucose readings per patient between 60 and 180 mg/dL.ResultsBetween April 5 and June 22, 2006, we identified 179 eligible study subjects. The mean percent of glucose readings per patient between 60 and 180 mg/dL was 75% in the intervention group and 71% in the usual care group (adjusted relative risk, 1.36; 95% confidence interval, 1.03 to 1.80). In comparison with usual care, the intervention group also had a lower patient-day weighted mean glucose (148 mg/dL versus 158 mg/dL, P = .04), less use of sliding-scale insulin by itself (25% versus 58%, P = .01), and no significant difference in the rate of severe hypoglycemia (glucose < 40 mg/dL; 0.5% versus 0.3% of patient-days, P = .58).ConclusionThe use of an order set built into a hospital’s CPOE system led to improvements in glycemic control and insulin ordering without causing a significant increase in hypoglycemia. Other institutions with CPOE should consider adopting similar order sets as part of a comprehensive inpatient glycemic management program. (Endocr Pract. 2010;16:209-218)     

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)     

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)     

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)     

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     

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)     

Examination of Implementation of Intravenous and Subcutaneous Insulin Protocols and Glycemic Control in Heart Transplant Patients

ObjectivePerioperative glycemic management is particularly challenging in heart transplant (HT) patients who are on high-dose steroids and subject to surgical stress. The objective of the study was to examine the efficacy and safety of perioperative insulin administration in HT patients with and without diabetes.MethodsMedical records of 71 HT patients from June 1, 2005 to July 31, 2009 whose hyperglycemia was managed by our Glucose Management Service (GMS) were analyzed for up to 1 year after HT. Their daily blood glucose (BG) averages on intravenous (IV) insulin drips and subcutaneous (SQ) insulin, hypoglycemia rates, reasons for hypoglycemia, and deviations from insulin protocols were analyzed.ResultsDaily BG averages between diabetic (DM) and nondiabetic (nonDM) patients were not significantly different while on the drip but were significantly different for first 5 days on SQ (P < .05). The daily insulin glargine doses were similar. No patients developed severe hypoglycemia (BG ≤ 40 mg/dL) while on drip, and only 2.8% experienced hypoglycemia on SQ. Among 40 episodes of moderate hypoglycemia while on drip, 15 had nurse deviations from protocol prior to the episode. Posttransition day fasting glucose was at goal (mean 124.7 ± 35.4 mg/dL); however 39.4% (28/71) of patients received a transition insulin glargine dose that was different from the amount indicated by protocol. The likelihood of developing moderate hypoglycemia on SQ was associated with the glargine dose used at the time of transition (odds ratio [OR] 1.03, P = .034).ConclusionInpatient insulin protocols implemented by a GMS are successful in obtaining glycemic control with minimal side effects in patients with and without diabetes, even when they are on a high-dose steroid regimen. (Endocr Pract. 2014;20:527-535)     

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)     

Overcoming Clinical Inertia in the Management of Postoperative Patients with Diabetes

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

Effect of 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)