THE EFFECTS OF PERIOPERATIVE DEXAMETHASONE ON GLYCEMIC CONTROL AND POSTOPERATIVE OUTCOMES.

Objective: Perioperative glucocorticoids are commonly given to reduce pain and nausea in patients undergoing surgery. However, the glycemic effects of steroids and the potential effects on morbidity and mortality have not been systematically evaluated. This study investigated the association between perioperative dexamethasone and postoperative blood glucose, hospital length of stay (LOS), readmission rates, and 90-day survival. Methods: Data from 4,800 consecutive orthopedic surgery patients who underwent surgery between 2000 and 2016 within a single health system were analyzed retrospectively. Results: Patients with and without diabetes mellitus (DM) who were given a single dose of dexamethasone had higher rates of hyperglycemia during the first 24 hours after surgery as compared to those who did not receive dexamethasone (hazard ratio [HR] was 1.81, and 95% confidence interval [CI] was [1.46, 2.24] for the DM cohort; HR 2.34, 95% CI [1.66, 3.29] for the nonDM cohort). LOS was nearly 1 day shorter in patients who received dexamethasone (geometric mean ratio [GMR] 0.79, 95% CI [0.75, 0.83] for patients with DM; GMR 0.75, 95% CI [0.72, 0.79] for patients without DM), and there was no difference in 90-day readmission rates. In patients without DM, dexamethasone was associated with a higher 90-day overall survival (99.07% versus 96.90%; P = .004). Conclusion: In patients with and without DM who undergo orthopedic surgery, perioperative dexamethasone was associated with a transiently higher risk of hyperglycemia. However, dexamethasone treatment was associated with a shorter LOS in patients with and without DM, and a higher overall 90-day survival rate in patients without DM, compared to patients who did not receive dexamethasone. Abbreviations: BMI = body mass index; CAD = coronary artery disease; CI = confidence interval; DM = diabetes mellitus; GMR = geometric mean ratio; HR = hazard ratio; IV = intravenous; LOS = length of stay; POD = postoperative day.

Evaluation of the Efficacy and Safety of an eGlycemic Management System in a Community Hospital Setting.

BACKGROUND: Glucommander is an eGlycemic management system (eGMS) for intravenous (IV) and subcutaneous (SQ) insulin therapy in hospitalized patients. The purpose of this study was to evaluate the efficacy and safety of Glucommander compared to previously utilized nomograms in the community hospital setting. METHODS: This study was a retrospective, single-center cohort study comparing measures of efficacy and safety of IV and SQ insulin therapy via eGMS versus nomogram-driven IV insulin therapy followed by provider-ordered basal-bolus SQ insulin. The primary efficacy endpoint was percent of blood glucose (BG) readings per patient in target glycemic range. Safety objectives were percent of hyperglycemic events, hypoglycemic events, and severe hypoglycemic events after achieving target blood glucose range, and mean number of each event per patient. RESULTS: The percentage of BG readings in range was significantly higher for eGMS patients (n = 110) than comparison cohort patients (n = 108, 84.6% vs 76.8%, P < .001). Hyperglycemic events occurred for significantly fewer patients in the eGMS cohort relative to the comparison cohort (81.8% vs 92.6%, P = .03). Overall, there was no significant difference between cohorts in rate of hypoglycemic events, but hypoglycemic events while on IV insulin occurred in a significantly higher percentage of eGMS cohort patients than comparison cohort patients (30.9% vs 15.7%, P < .01). There were no significant differences in incidence of severe hypoglycemic events. CONCLUSIONS: Our study found that Glucommander maintained a higher percentage of BG readings in target BG range per patient compared to previously utilized nomograms. This result was driven by an improvement in hyperglycemia, but not hypoglycemia.

Assessing the Impact of an Order Panel Utilizing Weight-Based Insulin and Standardized Monitoring of Blood Glucose for Patients With Hyperkalemia.

Intravenous insulin with glucose is used in urgent treatment for hyperkalemia but has a significant risk of hypoglycemia. The authors developed an order panel within the electronic health record system that utilizes weight-based insulin dosing and standardized blood glucose monitoring to reduce hypoglycemia. As initial evaluation of this protocol, the authors retrospectively compared potassium and blood glucose lowering in patients treated with the weight-based (0.1 units/kg) insulin order panel (n = 195) with those given insulin based on provider judgment (n = 69). Serum potassium lowering did not differ between groups and there was no relationship between dose of insulin and amount of potassium lowering. There was a difference in hypoglycemia rates between groups ( P = .049), with fewer severe hypoglycemic events in the panel (2.56%) than in the non-panel group (10.14%). These data suggest weight-based insulin dosing is equally effective for lowering serum potassium and may lower risk of severe hypoglycemia.

Assessing electronic health record phenotypes against gold-standard diagnostic criteria for diabetes mellitus.

OBJECTIVE: We assessed the sensitivity and specificity of 8 electronic health record (EHR)-based phenotypes for diabetes mellitus against gold-standard American Diabetes Association (ADA) diagnostic criteria via chart review by clinical experts. MATERIALS AND METHODS: We identified EHR-based diabetes phenotype definitions that were developed for various purposes by a variety of users, including academic medical centers, Medicare, the New York City Health Department, and pharmacy benefit managers. We applied these definitions to a sample of 173 503 patients with records in the Duke Health System Enterprise Data Warehouse and at least 1 visit over a 5-year period (2007-2011). Of these patients, 22 679 (13%) met the criteria of 1 or more of the selected diabetes phenotype definitions. A statistically balanced sample of these patients was selected for chart review by clinical experts to determine the presence or absence of type 2 diabetes in the sample. RESULTS: The sensitivity (62-94%) and specificity (95-99%) of EHR-based type 2 diabetes phenotypes (compared with the gold standard ADA criteria via chart review) varied depending on the component criteria and timing of observations and measurements. DISCUSSION AND CONCLUSIONS: Researchers using EHR-based phenotype definitions should clearly specify the characteristics that comprise the definition, variations of ADA criteria, and how different phenotype definitions and components impact the patient populations retrieved and the intended application. Careful attention to phenotype definitions is critical if the promise of leveraging EHR data to improve individual and population health is to be fulfilled.

Technosphere insulin: inhaled prandial insulin.

INTRODUCTION: Insulin therapy is a mainstay for treatment of diabetes mellitus; however, many barriers to insulin exist. Insulin human inhalation powder (technosphere insulin) is a new FDA-approved alternative to subcutaneous bolus insulin. AREAS COVERED: This is an overview of technosphere insulin (TI). Pharmacokinetics, clinical efficacy, safety and tolerability are discussed. EXPERT OPINION: TI is more quickly absorbed than subcutaneous insulin therapies and has a shorter duration of action. It appears to be noninferior compared with subcutaneous insulin regimens, and is associated with less hypoglycemia. Thus, it may serve as an alternative insulin agent in patients reluctant to administer multiple subcutaneous injections of insulin daily or in patients who experience late postprandial hypoglycemia with subcutaneous insulin. Cough is the most common side effect, but tends to be mild and transient. A small decrease in the forced expiratory volume has been demonstrated, but does not appear to progress and is reversible. Patients should have periodic pulmonary function tests. TI is contraindicated in patients with chronic lung disease. The long-term risk of lung cancer is being monitored but at this point does not appear to be higher than the expected incidence of lung cancer in this population.