Insulinoma in a Patient with Normal Results from Prolonged Fast and Glucagon-Induced Hypoglycemia

ObjectiveTo describe a man with a functioning insulinoma and normal results from two 72-hour fasts who developed hypoglycemia secondary to exaggerated insulin response following glucagon stimulation.MethodsWe report the patient’s clinical findings, laboratory findings, and clinical course. We also review the literature for previously reported cases and possible mechanisms.ResultsA 49-year-old man presented with hypoglycemic symptoms initially occurring after jogging and well-documented symptomatic hypoglycemia occurring during an evening meal. A 72-hour fast was associated with a serum glucose concentration of 50 mg/dL, suppressed insulin and C-peptide levels, and mildly elevated β-hydroxybutyrate. Another documented episode of hypoglycemia occurring 3 hours postprandially was associated with elevated insulin and C-peptide and suppressed β-hydroxybutyrate. A second 72-hour fast provoked asymptomatic hypoglycemia (glucose concentration at 60 hours: 32 mg/dL) with suppressed insulin and measurable β-hydroxybutyrate. After 72 hours of fasting, glucagon administration led to a decrease in glucose from 50 to 18 mg/dL, elevations in insulin and C-peptide, and suppression of β-hydroxybutyrate. Computed tomography revealed a mass lesion in the pancreatic tail. Distal pancreatectomy was performed, and the resected specimen demonstrated immunostaining for insulin. Hypoglycemic symptoms resolved postoperatively.ConclusionsNormal results from a prolonged fast do not preclude an insulinoma and may demonstrate exaggerated insulin secretion from the insulinoma following glucagon administration. In addition to examining the glucose response to glucagon as a surrogate for insulinoma diagnosis, measurement of serum insulin levels following glucagon administration may provide a further clue to the diagnosis of insulinoma. (Endocr Pract. 2010;16:838-841)     

Octreotide Therapy for Recurrent Refractory Hypoglycemia Due to Sulfonylurea In Diabetes-Related Kidney Failure

ObjectiveTo describe a patient with kidney insufficiency from diabetes treated with glyburide, who presented with prolonged and recurrent hypoglycemia unresponsive to large intravenous doses of glucose, which was treated successfully with intravenously administered octreotide, and to review the therapeutic options for hypoglycemia.MethodsWe present a case report of a 66-year-old man with diabetes causing chronic kidney disease, who was treated with orally administered glyburide, 7.5 mg twice a day. He initially presented to another hospital because of hypoglycemia and was treated with intravenously administered glucose and discharged. The next day, his family brought him to our emergency department because of recurring low blood glucose levels and symptoms of sweating, fever, and nightmares. Laboratory tests revealed a blood glucose level of 33 mg/dL and a creatinine concentration of 6.2 mg/dL.ResultsThe patient was treated with a 5% dextrose and, subsequently, a 10% dextrose infusion without any sustained improvement. The blood glucose level remained low despite the additional administration of 3 ampules of 50% dextrose in water. The patient was given a bolus of octreotide (50 μg subcutaneously) 14 hours after his second presentation. He received another 50-μg dose of octreotide 6 hours later. After this bolus, the hypoglycemia resolved, and he no longer required intravenous administration of glucose to maintain euglycemia.ConclusionPatients with diabetes and kidney disease frequently have persistent and difficult-to-treat hypoglycemia, unresponsive to conventional therapy. Octreotide is an effective and safe treatment for patients with refractory hypoglycemia attributable to sulfonylureas. (Endocr Pract. 2007;13:417-423)     

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)     

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)     

Contribution of the Dawn Phenomenon to the Fasting and Postbreakfast Hyperglycemia In Type 1 Diabetes Treated With Once-Nightly Insulin Glargine

ObjectiveTo observe the effect of the dawn phenomenon on basal glucose and postbreakfast hyperglycemia in patients with type 1 diabetes treated with once-nightly insulin glargine and premeal insulin lispro.MethodsIn 49 study subjects consuming a fixed isocaloric (50% carbohydrate) diet of usual food, the insulin glargine dose was titrated from daily continuous glucose monitoring downloads to achieve a basal glucose goal of < 130 mg/dL 4 hours after meals and during serial meal omissions but with fewer than 10% of readings at < 70 mg/ dL during 24 hours. Patients also performed self-monitoring of plasma glucose 7 times a day (before and 2 hours after each meal or omitted meal and at bedtime).ResultsThe target mean basal glucose level was achieved only during the non-dawn phenomenon period (1400 hours to 0400 hours). During the dawn phenomenon, the mean (standard deviation) basal glucose level increased from 118 (57) mg/dL at 0400 hours to 156 (67) mg/dL before the breakfast meal, a 32% increase (P = .00149). The mean self-monitored plasma glucose level with meal omission was 63.8% of that increase with a breakfast meal.ConclusionThe fasting morning glucose concentration is considerably elevated because of the dawn phenomenon. Targeting insulin titration to this glucose level may result in excessive basal insulin dosing for the non-dawn phenomenon periods of the day. The dawn phenomenon is a large component of the postbreakfast hyperglycemia. Rather than increasing the morning premeal insulin bolus, consideration should be given to pretreating the earlier dawn phenomenon with an insulin pump with use of a variable basal insulin rate. (Endocr Pract. 2012;18:558-562)     

Adapting to the new consensus guidelines for managing hyperglycemia during critical illness: the updated Yale insulin infusion protocol

ObjectiveTo report our preliminary experience with the revised, more conservative Yale insulin infusion protocol (IIP) that targets blood glucose concentrations of 120 to 160 mg/dL.MethodsWe prospectively tracked clinical responses to the new IIP in our medical intensive care unit (ICU) by recording data on the first 115 consecutive insulin infusions that were initiated. All blood glucose values; insulin doses; nutritional support including intravenous dextrose infusions; caloric values for enteral and parenteral nutrition; and use of vasopressors, corticosteroids, and hemodialysis or continuous venovenous hemodialysis were collected from the hospital record.ResultsThe IIP was used 115 times in 90 patients (mean age, 62 [± 14 years]; 51% male; 35% ethnic minorities; 66.1% with history of diabetes). The mean admission Acute Physiology and Chronic Health Evaluation II score was 24.4 (± 7.5). The median duration of insulin infusion was 59 hours. The mean baseline blood glucose concentration was 306.1 (± 89.8) mg/dL, with the blood glucose target achieved after a median of 7 hours. Once the target was reached, the mean IIP blood glucose concentration was 155.9 (± 22.9) mg/dL (median, 150 mg/dL). The median insulin infusion rate required to reach and maintain the target range was 3.5 units/h. Hypoglycemia was rare, with 0.3% of blood glucose values recorded being less than 70 mg/dL and only 0.02% being less than 40 mg/dL. In all cases, hypoglycemia was rapidly corrected using intravenous dextrose with no evident untoward outcomes.ConclusionsThe updated Yale IIP provides effective and safe targeted blood glucose control in critically ill patients, in compliance with recent national guidelines. It can be easily implemented by hospitals now using the original Yale IIP. (Endocr Pract. 2012;18:363-370)     

Management of Hyperglycemia with the Administration of Intravenous Exenatide to Patients in the Cardiac Intensive Care Unit

ObjectiveTo evaluate the feasibility, effectiveness, and safety of intravenous exenatide to control hyperglycemia in the cardiac intensive care unit (CICU).MethodsA prospective, single-center, open-label, nonrandomized pilot study. Forty patients admitted to the CICU with glucose levels of 140 to 400 mg/dL received intravenous exenatide as a bolus followed by a fixed dose infusion for up to 48 hours. Exenatide effectiveness was benchmarked to two historical insulin infusion cohorts, one (INT) with a target glucose of 90 to 119 mg/dL (n = 84) and the other (MOD) with a target of 100 to 140 mg/dL (n = 71).ResultsMedian admission glucose values were 185.5 mg/dL (161.0, 215.5), 259.0 mg/dL (206.0, 343.0), and 189.5 mg/dL (163.5, 245.0) in the exenatide, MOD, and INT groups, respectively (P<.001). Steady state glucose values were similar between the exenatide (132.0 mg/dL [110.0, 157.0]) and the MOD groups (127.0 mg/dL [105.0, P = .15), but lower in the INT group (105.0 mg/dL [92.0, 128.0], P<.001 for exenatide versus INT). Median (IQR) time to steady state was 2.0 hours (1.5, 5.0) in the exenatide group compared to 12.0 hours (7.0, 15.0) in the MOD group (P<.001) and 3.0 hours (1.0, 5.0) in the INT group (P = .80 for exenatide versus INT). Exenatide was discontinued in 3 patients after failure to achieve glycemic control. No episodes of severe hypoglycemia (<50 mg/dL) occurred in patients who received exenatide. Nausea was reported by 16 patients and vomiting by 2 patients.ConclusionIntravenous exenatide is effective in lowering glucose levels in CICU patients, but its use may be limited by nausea. (Endocr Pract. 2013;19:81-90)     

Reduced Hypoglycemia and Comparable Efficacy with Insulin Glargine 300 U/ML Versus Insulin Glargine 100 U/ML in Patients with Type 2 Diabetes Achieving Different Levels of Prebreakfast Self-Monitored Plasma Glucose

Objective: To evaluate the efficacy and safety of insulin glargine 300 U/mL (Gla-300) and insulin glargine 100 U/mL (Gla-100) in patients with type 2 diabetes (T2D) who reached prebreakfast self-monitored plasma glucose (SMPG) levels <100 and <130 mg/dL.Methods: This was a post hoc analysis of insulin-naïve (EDITION 3, NCT01676220) and experienced (EDITION 2, NCT01499095) patients with uncontrolled T2D, randomized to 6 months of Gla-300 versus Gla-100 treatment. Endpoints included glycated hemoglobin A1c change, hypoglycemia incidence, and event rates. Separate comparisons were done for patients achieving prebreak-fast fasting glucose of <100 versus ≥100 mg/dL and <130 versus ≥130 mg/dL.Results: Efficacy did not differ significantly between treatments in either study. Overall, basal insulin doses were ~10% higher with Gla-300 versus Gla-100. EDITION 2: overall and documented (≤70 mg/dL) hypoglycemia rates were significantly lower with Gla-300 versus Gla-100 in all SMPG groups except <100 mg/dL; nocturnal hypoglycemia rates were significantly lower with Gla-300 in all SMPG groups. EDITION 3: overall hypoglycemia rates were significantly lower with Gla-300 in patients with SMPG ≥100 mg/dL and those with SMPG <130 mg/dL; documented hypoglycemia rates were significantly lower in all SMPG groups except ≥130 mg/dL. Nocturnal and nocturnal documented hypoglycemia rates did not differ by treatment group. Hypoglycemia incidence did not differ by treatment in any SMPG group.Conclusion: In patients with T2D initiating basal insulin or previously treated for ≥6 months with basal insulin, Gla-300 provides similar efficacy to Gla-100 and reduces risk of hypoglycemia for many patients, despite a ~10% higher insulin dose.Abbreviations: A1C = glycated hemoglobin A1c; ADA = American Diabetes Association; Gla-100 = insulin glargine 100 U/mL; Gla-300 = insulin glargine 100 U/mL; OAD = oral antidiabetes drug; SMPG = self-monitored plasma glucose; T2D = type 2 diabetes     

Inpatient Management of Diabets Mellitus Among Noncritically Ill Patients at the University Hospital of Puerto Rico

ObjectiveTo describe the state of glycemic control in noncritically ill diabetic patients admitted to the Puerto Rico University Hospital and adherence to current standard of care guidelines for the treatment of diabetes.MethodsThis was a retrospective study of patients admitted to a general medicine ward with diabetes mellitus as a secondary diagnosis. Clinical data for the first 5 days and the last 24 hours of hospitalization were analyzed.ResultsA total of 147 noncritically ill diabetic patients were evaluated. The rates of hyperglycemia (blood glucose ≥ 180 mg/dL) and hypoglycemia (blood glucose < 70 mg/dL) were 56.7 and 2.8%, respectively. Nearly 60% of patients were hyperglycemic during the first 24 hours of hospitalization (mean random blood glucose, 226.5 mg/dL), and 54.2% were hyperglycemic during the last 24 hours of hospitalization (mean random blood glucose, 196.51 mg/dL). The mean random last glucose value before discharge was 189.6 mg/dL. Most patients were treated with subcutaneous insulin, with basal insulin alone (60%) used as the most common regimen. The proportion of patients classified as uncontrolled receiving basal-bolus therapy increased from 54.3% on day 1 to 60% on day 5, with 40% continuing to receive only basal insulin. Most of the uncontrolled patients had their insulin dose increased (70.1%); however, a substantial proportion had no change (23.7%) or even a decrease (6.2%) in their insulin dose.ConclusionThe management of hospitalized diabetic patients is suboptimal, probably due to clinical inertia, manifested by absence of appropriate modification of insulin regimen and intensification of dose in uncontrolled diabetic patients. A comprehensive educational diabetes management program, along with standardized insulin orders, should be implemented to improve the care of these patients. (Endocr Pract. 2014;20:452-460)     

Confirmation of Hypoglycemia in the “Dead-In-Bed” Syndrome,as Captured by a Retrospective Continuous Glucose Monitoring System

ObjectiveTo report a case that substantiates the presence of hypoglycemia at the time of death of a young man with type 1 diabetes, who was found unresponsive in his undisturbed bed in the morning.MethodsWe describe a 23-year-old man with a history of type 1 diabetes treated with an insulin pump, who had recurrent severe hypoglycemia. In an effort to understand these episodes better and attempt to eliminate them, a retrospective (non-real-time) continuous subcutaneous glucose monitoring system (CGMS) was attached to the patient. He was found dead in his undisturbed bed 20 hours later. The insulin pump and CGMS were both downloaded for postmortem study.ResultsPostmortem download of the data in the CGMS demonstrated glucose levels below 30 mg/dL around the time of his death, with only a minimal counterregulatory response. This finding corresponded to a postmortem vitreous humor glucose of 25 mg/dL. An autopsy showed no major anatomic abnormalities that could have contributed to his death.ConclusionTo our knowledge, this is the first documentation of hypoglycemia at the time of death in a patient with the “dead-in-bed” syndrome. This report should raise the awareness of physicians to the potentially lethal effectsof hypoglycemia and provide justification for efforts directed at avoiding nocturnal hypoglycemia. (Endocr Pract. 2010;16:244-248)     

Impact of a Hypoglycemia Reduction Bundle and a Systems Approach to Inpatient Glycemic Management

Objective: Uncontrolled hyperglycemia and iatrogenic hypoglycemia represent common and frequently preventable quality and safety issues. We sought to demonstrate the effectiveness of a hypoglycemia reduction bundle, proactive surveillance of glycemic outliers, and an interdisciplinary data-driven approach to glycemic management.Methods: Population: all hospitalized adult non–intensive care unit (non-ICU) patients with hyperglycemia and/or a diagnosis of diabetes admitted to our 550-bed academic center across 5 calendar years (CYs). Interventions: hypoglycemia reduction bundle targeting most common remediable contributors to iatrogenic hypoglycemia; clinical decision support in standardized order sets and glucose management pages; measure-vention (daily measurement of glycemic outliers with concurrent intervention by the inpatient diabetes team); educational programs. Measures and analysis: Pearson chi-square value with relative risks (RRs) and 95% confidence intervals (CIs) were calculated to compare glycemic control, hypoglycemia, and hypoglycemia management parameters across the baseline time period (TP1, CY 2009–2010), transitional (TP2, CY 2011–2012), and mature postintervention phase (TP3, CY 2013). Hypoglycemia defined as blood glucose <70 mg/dL, severe hypoglycemia as <40 mg/dL, and severe hyperglycemia >299 mg/dL.Results: A total of 22,990 non-ICU patients, representing 94,900 patient-days of observation were included over the 5-year study. The RR TP3:TP1 for glycemic excursions was reduced significantly: hypoglycemic stay, 0.71 (95% CI, 0.65 to 0.79); severe hypoglycemic stay, 0.44 (95% CI, 0.34 to 0.58); recurrent hypoglycemic day during stay, 0.78 (95% CI, 0.64 to 0.94); severe hypoglycemic day, 0.48 (95% CI, 0.37 to 0.62); severe hyperglycemic day (>299 mg/dL), 0.76 (95% CI, 0.73 to 0.80).Conclusion: Hyperglycemia and hypoglycemia event rates were both improved, with the most marked effect on severe hypoglycemic events. Most of these interventions should be portable to other hospitals.Abbreviations: BG = blood glucose CDS = clinical decision support CI = confidence interval CY = calendar year DIG = diabetes initiative group EHR = electronic health record ICU = intensive care unit RR = relative risk SHM = Society of Hospital Medicine TP = time period     

Inpatient Glycemic Control on the Vascular Surgery Service

ObjectiveTo describe a structured inpatient insulin management protocol and order set for glycemic control on a vascular surgery service.MethodsPatients admitted to the vascular surgery service with underlying diabetes were enrolled in a study of use of a preprinted basal-bolus insulin order set based on a total daily dose of 0.5 U/kg (0.25 U/kg of insulin glargine and 0.25 U/kg of insulin aspart divided into 3 equal mealtime doses). Outcomes included the mean glycemic control at each of 5 established time intervals, the percentage of blood glucose measurements within the target range of 70 to 180 mg/dL, the incidence of hypoglycemia, and the insulin dosages. Historical control patients with diabetes from the same hospital service were used for comparison.ResultsBoth the study group and the control group consisted of 26 patients. The number of finger-stick blood glucose measurements performed was 871 in the control group and 896 in the intervention group. The mean blood glucose level (± SD) for the intervention group was 149.4 ± 50.7 mg/dL, in comparison with 165.2 ± 64.4 mg/dL for the control group. The incidence of hypoglycemia decreased 50% in the intervention group—from 32 (4% of the finger-stick assessments in the control group) to 19 (2% of the finger-stick blood glucose measurements in the study group). The blood glucose target range of 70 to 180 mg/dL was achieved in 75% of the measurements in the study group versus 61% in the control group. The basal insulin dose was unchanged in 65% of the patients, and of the 9 patients requiring a change in the dose, 5 had the dose decreased by 10% and 4 had the dose increased by 10%.ConclusionThe use of a standardized basal-bolus weight-based insulin regimen was successful at achieving improved glycemic control as well as reducing the incidence of hypoglycemia in an inpatient population with diabetes. (Endocr Pract. 2008;14:185-192)     

Diurnal Glucose Profiles Using Continuous Glucose Monitoring to Identify the Glucose-Lowering Characteristics of Colesevelam HCL (WELCHOL)

ObjectiveThe study's purpose was to identify the antihyperglycemic affects of colesevelam-HCl (C-HCl) by characterizing the diurnal and postprandial glucose patterns in type 2 diabetic subjects treated concomitantly with metformin, sulfonylurea, or a combination of metformin/ sulfonylurea. A secondary aim was to determine whether C-HCl significantly increased the risk of hypoglycemia.MethodsA prospective, randomized, double-blind, placebo-controlled, crossover study employing continuous glucose monitoring (CGM) with ambulatory glucose profile (AGP) analysis was undertaken. Fifteen males and 6 females, age 60 ± 8 years, treated with metformin (n = 8), sulfonylurea (n = 2), or combination (n = 11) participated.ResultsTreatment with C-HCl led to reductions in glycated hemoglobin (HbAlc) (7.5 ± 0.3 to 7.0 ± 0.4% P<.0001), LDL (90.9 ± 18.6 to 68.9 ± 15.2 mg/dL, P<.0007) and total cholesterol (169.2 ± 24.4 to 147.8 ± 21.5 mg/dL, P<.001). Significantly lower normalized diurnal (21 mg/dL/hour, P = .0006), nocturnal (19 mg/dL/hour, P = .0005), and daytime (22 mg/dL/hour, P = .0008) glucose exposure was detected immediately upon C-HCl administration. Additionally, there was a significant (P<.004) decline in postprandial glucose excursions (averaging 15% or -36 mg/dL/hour) pronounced at dinner following C-HCl administration. There was a nonsignificant increase in the incidence of hypoglycemia (0.4-1%), with no difference due to antihyperglycemic medications.ConclusionsAGP analysis of CGM visually and quantitatively showed immediate and midterm impacts of C-HCl on basal and postprandial glucose patterns. This suggests a multifactorial glucose-lowering mechanism for C-HCl affecting both meal-related and basal glucose levels. (Endocr Pract. 2013;19:275-283)     

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)     

Is There A “July Effect” for Inpatient Glycemic Control?

ObjectiveThe period of resident turnover in teaching hospitals is considered by some to worsen health outcomes and is called the “July effect.” We sought to study glycemic control in patients admitted to medical floors and identify any adverse outcomes related to a “July effect.”MethodsThis was a single-center retrospective cohort study that compared inpatient glycemic control at the start and end of a single academic year (July 2009 to June 2010). A total of 108 patients with a diagnosis of diabetes mellitus were included in the first group (Group 1: July to September 2009), and 134 were in the second group (Group 2: April to June 2010). Four capillary blood glucose measurements were taken from Days 2 to 6 of hospitalization, and clinical data pertinent to glycemic management were collected.ResultsData analysis showed no significant difference in the overall inpatient glycemic control between the 2 groups. The mean glucose levels were 168.67 mg/dL and 168.59 mg/dL for Groups 1 and 2, respectively. Overall, 67% of patients in Group 1 and 72.9% in Group 2 were within a blood glucose range of 70 to 179 mg/dL, and 32% of patients in Group 1 and 44.1% of patients in Group 2 were within the range of 140 to 179 mg/dL. Hypoglycemia occurred in 17% and 18.6% of Groups 1 and 2, respectively. No difference in diabetes treatment ordering practices of residents was detected.ConclusionThis study did not show any evidence to support the “July effect” on overall inpatient glycemic control. (Endocr Pract. 2014;20:919-924)     

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     

How Patients With Type 1 Diabetes Translate Continuous Glucose Monitoring Data into Diabetes Management Decisions

Objective: To understand how patients use continuous glucose monitoring (CGM) data in their diabetes management.Methods: We surveyed patients who regularly used CGM (>6 days per week), using 70 questions, many scenario-based. The survey had 6 sections: patient characteristics, general CGM use, hypoglycemia prevention and management, hyperglycemia prevention and management, insulin dosing adjustments (both for incidental hyperglycemia not at meals and at mealtimes), and real-time use versus retrospective analysis.Results: The survey was completed by 222 patients with type 1 diabetes. In response to a glucose of 220 mg/dL, the average correction dose adjustment based on rate of change arrows varied dramatically. Specifically, when the CGM device showed 2 arrows up (glucose increasing >3 mg/dL/minute), respondents stated they would increase their correction bolus, on average, by 140% (range, 0 to 600%). Conversely, 2 arrows down (glucose decreasing >3 mg/dL/minute) caused respondents to reduce their dose by 42%, with 24% omitting their dose entirely. Furthermore, 59% of respondents stated they would delay a meal in response to rapidly rising glucose, whereas 60% would wait until after a meal to bolus in response to falling glucose levels. With a glucose value of 120 mg/dL and a falling glucose trend, 70% of respondents would prophylactically consume carbohydrates to avoid hypoglycemia.Conclusion: CGM users utilize CGM data to alter multiple aspects of their diabetes care, including insulin dose timing, dose adjustments, and in hypoglycemia prevention. The insulin adjustments are much larger than common recommendations. Additional studies are needed to determine appropriate insulin adjustments based on glucose trend data.Abbreviations: A_1c = hemoglobin A_1c CGM = continuous glucose monitoring ROC = rate of change SMBG = self-monitored blood glucose     

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)     

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)     

Νον-Islet Cell Tumor Hypoglycemia Associated With Uterine Leiomyomata

ObjectiveWe report a case of non-islet cell tumor hypoglycemia (NICTH) in a patient with large leiomyomata.MethodsWe present the clinical, laboratory, and pathologic findings of a diabetic patient who presented with recurrent hypoglycemia later linked to uterine leiomyomata.ResultsAn 80-year-old woman with diabetes was admitted after falling at home. She reported dizziness and had recorded low capillary blood glucose despite discontinuing her diabetic medication prior to admission. Her physical examination was remarkable for nonorthostatic vital signs, normal cardiovascular and lung examination, and a pelvi-abdominal mass the size of a gravid uterus at 28 weeks of gestation. After receiving a 50% dextrose infusion, she became alert with no focal neurological deficit. Capillary blood glucose rose from 31 mg/ dL to 110 mg/dL. A pelvic sonogram confirmed fibromyomata. She was initially treated with steroids after ahormonal profile suggested NICTH (normal fasting insulin, C-peptide, cosyntropin and glucagon stimulation tests, and negative insulin antibodies). Insulinlike growth factor (IGF) levels were IGF-1, 69 ng/mL and IGF-2, 782 ng/mL, and the IGF-2/IGF-1 ratio was 10.8. The patient underwent a total abdominal hysterectomy. Pathology reported a 3-kg uterus with multiple, large cellular fibromyomas. After steroids were discontinued, she became hyperglycemic requiring insulin and oral diabetic agents. Repeat IGF-2 and IGF-1 measurements were 261 ng/mL and 36 ng/mL, respectively. She was discharged 2 weeks after surgery.ConclusionNICTH is a rare complication associated with large neoplasms. Leiomyomata should be included in the differential diagnoses of NICTH. Surgery is curative in such cases. (Endocr Pract. 2011;17:e109-e112)